IMR Press / FBL / Volume 25 / Issue 5 / DOI: 10.2741/4844
Open Access Review
EMT in breast cancer metastasis: an interplay of microRNAs, signaling pathways and circulating tumor cells
Show Less
1 Cancer Biology, CSIR-Centre for Cellular and Molecular Biology, (CCMB) Uppal Road, Hyderabad, 500007, Telangana, India
Front. Biosci. (Landmark Ed) 2020, 25(5), 979–1010;
Published: 1 March 2020
(This article belongs to the Special Issue Elucidation of exosomes role in metastasis)

Epithelial to Mesenchymal Transition (EMT) is a biological process characterized by the transition from immotile epithelial cells to motile mesenchymal cells. Though shown to be implicated in many biological processes, it has also been identified to enhance migration and invasion of cancer cells leading to metastasis. A class of microRNAs called “oncomiRs” plays a significant role in the regulation of malignant transformation and metastasis. In this review, the ability of different signaling pathways in controlling EMT through well-defined regulatory networks, and the role exerted by oncomiRs in regulating the specific signaling pathways like TGF-β, Wnt, Notch and Hedgehog in modulating breast cancer metastasis have been discussed with updated information. Further, this review focuses on the significance of up and down regulated microRNAs in the pathogenesis and progression of breast cancer and how such microRNAs could be treated as potential therapeutic targets to circumvent cancer. As a prospective strategy, we highlight the importance of circulating tumor cells (CTCs) and their derived microRNAs as prognostic indicators and cancer therapy monitoring tools.

: miRNAs
breast cancer

Breast cancer is the second most common cancer among women and one of the leading causes of mortality worldwide. Most deaths are due to late diagnosis at metastatic stage as well as resistance to therapy (1). Recently, the phenomenon of Epithelial to Mesenchymal Transition (EMT) has been linked to tumor invasion, metastasis and drug resistance (2). The phenomenon of resistance in cancer cells can occur due to modulation of signaling pathways where the cells adapt themselves for self-sustenance. Secondary tumor is formed at the site of metastasis by a reverse process of EMT termed as MET, (Mesenchymal to Epithelial Transition) (Figure 1). A parallel change with loss of apico-basal polarity, degradation of cell- cell junctions, cytoskeletal rearrangement, upregulation of mesenchymal markers and simultaneous down regulation of epithelial markers is observed in oncogenic EMT (3)(Figure 2). The tight regulation of this sequential event is controlled by a set of transcriptional factors (TFs) like Slug, Twist, Snail, Zeb1/2 working together in the cellular cross talk which in turn helps the cell to gain attributes of invasiveness and migration (4). Thus, the event is mainly characterized by decrease in the expression of epithelial markers such as E-cadherins and δ-catenin with a simultaneous increase of mesenchymal markers such as Vimentin, N-cadherin, fibronectins and matrix metalloproteinases. It has been widely established that various signaling pathways play a crucial role in these two processes. This complex and multifunctional program is tightly regulated by the interplay of many complicated regulatory networks (Figure 3). Understanding this cross talk among networks might provide cues to target specific nodes of interaction so that effectively many of the detrimental steps of the metastasis pathways could be tackled simultaneously.

Figure 1

A schematic representation of Epithelial Mesenchymal Transition. Cancer cells detach from the basement membrane and intravasate to the nearby blood vessels as CTC and travel through blood vessels to secondary site in a process described as metastasis. They get lodged in different organs by a process termed as Mesenchymal Epithelial Transition (MET).

Figure 2

MicroRNA biogenesis and regulation. miRNA genes are transcribed by RNA pol II to generate primary transcripts called pri-miRNA. Further processing by RNA binding protein DGCR8 results in 85~nucleotide stem loop structures called pre-miRNA. After its cytoplasmic transportation by exportin, it is further processed by Dicer, RNase III enzyme to 22 nucleotide miRNA/miRNA* duplex. The mature miRNA with RISC (RNA induced silencing complex) binds to 3’UTR region of target mRNA to either undergo cleavage or translational repression.

Figure 3

Illustration of miRNAs: mRNA target network. MicroRNAs that are up and down regulated in breast cancer cells target EMT related genes in different pathways leading to metastasis. For example, upregulated miR-9 targets E-cadherin which in turn disrupts epithelial tight junctions and activates β-catenin cascade. Similarly, downregulation of miR-30a and miR-138 deregulate vimentin expression thus triggering EMT.

MicroRNAs are tiny non-coding RNA molecules that play a significant role in regulating the genes that influence proliferation and migration of cells and thereby, the tumor invasion and metastasis (5). Expression of miRNA levels are observed to vary across tumor types, grades and stages as compared to healthy tissues (6). Recent studies have also shown the involvement of microRNAs in EMT through careful modulation of oncogenic signaling pathways. Accumulating evidence show that microRNAs act as inducers and suppressors of transcription factors involved in EMT and thus influencing breast cancer progression. Overall, so far, there are 130 microRNAs reported to influence EMT directly (7). Role of miR-200 family has been well studied in several cancers. Enhanced expression of miR-200 family members was found to inhibit EMT through targeting ZEB family, while suppression of the same led to enhanced EMT leading to invasion and metastasis (8). Circulating tumor cells (CTC) are the cells shed from different stages of tumor into the peripheral blood in circulation. Since it can be isolated by liquid biopsy systems, these are considered to be predictive indicators for disease prognosis and therapy monitoring (9). Altered expression of specific microRNAs in CTC could provide a real time indicator of tumor progression and thus can be helpful in predicting/assessing the disease status (10). Thus, molecular characterization of CTC along with expression profiling of mRNAs and miRNAs in these cells could be used as an additional tool in deciding personalized therapy.

In this review, we provide an overview of the major signaling pathways mediated by TGF-β, Wnt, Notch and Hedgehog transcription factors with the involvement of microRNAs as regulators affecting these signaling networks during breast cancer metastasis via EMT. We also highlight the various isolation and enrichment techniques for CTC along with molecular characterization that could be employed as clinical parameters for diagnostic, prognostic and therapeutic monitoring of breast cancer.


For the cells to metastasize, a cascade of events such as down regulation of receptors for cellular adhesion, upregulation of factors for motility, and degradation of extracellular matrix by secreting proteases are necessary (11). Cross talk between tumor cells and their microenvironment through signal transduction, controls the expression of EMT inducing transcriptional factors which in turn determines the progression and physiology of the disease (12). Each factor has its own distinct expression pattern and role in tumor progression depending on the cell, tissue type, and the signaling pathways. Loss of E- cadherin, an epithelial junction protein is one of the major hallmarks of EMT. Slug, Snail and Zeb2/SIP directly repress transcriptional expression of E-cadherin, whereas Zeb1 and Twist act indirectly to orchestrate EMT (13). Induction of EMT in breast cancer involves the intricate cross talk between various molecules in the major signaling pathways like TGF-β, Wnt, Notch, Hedgehog, etc (14). MicroRNAs being the master regulators of gene networks, modulate oncogenic and tumor suppressor pathways by regulating the transcription factors involved in cell proliferation and thus bringing about dynamics in cell cycle regulation with several outcomes (15). Thus, it becomes imperative to understand the microRNA mediated regulation of the transcription factors that are involved in EMT.

3.1. TGF-β signaling

TGF-β is a multifunctional cytokine growth factor which has a direct impact on breast cancer pathophysiology (16). It is one of the major players in cellular communication affecting wide range of cellular behavior including proliferation, differentiation, apoptosis, extracellular matrix formation (ECM) and immunoregulation (17). Being a tumor suppressor gene, it is also shown to have multifaceted role in cancer, depending on the tumor grade and stage. In early stages, this gatekeeper inhibits epithelial cell cycle by promoting apoptosis. But in later stages it is associated with increased tumor cell motility and invasiveness (18). TGF-β signaling cascade involves the binding of the ligand (TGF-β) to the TGF-β type II receptor. Recruitment and transphosphorylation of TGF-β type II receptor activates the receptor mediated adaptors Smad 2 and Smad 3 which in turn form complexes with Smad 4 (19). In addition, Smad independent pathway collaborates with various signaling cascades like phosphatidylinositol-3-kinase (PI3K) Akt, mitogen activated protein kinase (MAPK) and Rho family to regulate Snail and Slug activity (11).TGF-β induces desmoplastic and fibroblastic reactions which result in a dramatic change in tumor microenvironment. It helps in secretion of several extracellular matrix components (ECM) along with lysyl oxidase promoting metastatic progression (20). TGF-β plays a vital role in activating Snail which downregulates cadherin 16 and HNF-18 thereby inducing EMT. This in turn results in the downregulation of epithelial markers and the upregulation of mesenchymal markers with different phenotypic populations of cells (21). Annexin A1(Anx A1) an inhibitor of NF-κB, initiates TGF-β signaling and actin remodeling which results in elevated cell migration and invasion in breast cancer cells (22).

MicroRNAs play a major role in activation of TGF-β signaling cascade by upregulating/downregulating target proteins of signal transduction. Earlier studies have shown the downregulation of miR-200 family in TGF-β induced EMT cell line models (23). Over expression of miR-200 successfully prevented EMT, thereby inducing mesenchymal to epithelial transition (MET) and hence can be considered as regulators of epithelial identity (24). Cross talk between ZEB1/2 (TGF-β induced transcriptional repressors) and miR-200 family forms a double negative feedback loop regulating EMT. ZEB1/2 represses the promoter regions of miR-200b, -200a -429 and miR-220c/141 clusters and they in turn target 3’UTR of ZEB1/2 genes (25). Snail, an EMT inducer forms similar negative feedback loops with miR-34 family (26). The dynamics between these two loops (miR-34-SNAIL and miR-200-ZEB1/2) forms bistable cell switches of different phenotypes i.e. epithelial, partial EMT and mesenchymal within the same population of cells (27). TGF-β also upregulates several miRNAs like miR-181, miR-155,miR-10b, miR-30, miR-223 and miR-34 family thereby promoting EMT (28). Downregulation of miR-196a-3p led to increased neuropilin 2 levels which was required for TGF-β1 induced migration (29). Hsa-miR-155 helps in deregulation of the C/EBPβ which converts the TGF-β response from growth inhibition to EMT promoting metastasis (30). Increased plasma TGF-β1 levels in 23 breast cancer patients had a positive association with TGF-β signaling markers like parathyroid hormone related peptide (PTHrP) and interleukin 10 (IL-10) (31, 32). Earlier studies have shown the increased levels of CXCL1 along with TGF-β1 in blood, and resulted in poor prognosis and increased propensity to extended metastasis in breast cancer patients (33). A recent study of patients having estrogen receptor negative breast cancer reported the correlation between high TGF-β R-II expression and reduced survival indicating TGF-β as a major inducer of EMT (34).

3.2. Wnt signaling

Wnt signaling is mostly active during embryonic development and is related to cellular processes including cell differentiation, proliferation, maintenance of apicobasal polarity and migration (35). Aberrant activation of Wnt is usually associated with many human diseases including cancer (36). It has also been shown to play an important role in regulation of EMT through canonical (β-catenin) or noncanonical pathways (37). Canonical Wnt pathway recruits’ members like Wnt1 and Wnt3a which binds to FZD and LRP5/6 receptors, leading to the dissociation of destruction complex. This prevents β- catenin phosphorylation enabling it to translocate to the nucleus and activate downstream target genes like c-myc, CD44 etc. leading to uncontrolled proliferation of cells (38). Non-canonical pathways are independent of β- catenin and are divided into Wnt/Ca+2 and planar cell polarity (PCP) pathway which is usually initiated by Wnt5a and Wnt11 (39, 40). In Wnt/Ca+2 pathway, binding of Wnt ligands with the receptors activate the inositol trisphosphate through phospholipase C induction leading to stimulation of c-GMP factors and release of Ca+2 from the endoplasmic reticulum (41). In the planar cell polarity pathway, Wnt binds to the FZD receptors and its co receptors ROR and Ryk that activates Rho and Rac. This leads to activation of Rho-associated protein kinases (ROCK) and c-Jun N-terminal kinase (JNK), that plays a critical role in cellular polarization and migration through actin polymerization (42). Studies related to HER2 transgenic mice have revealed that breast cancer cells disseminate early in their transformation and both canonical as well as non-canonical pathways are the cause for this migration (43, 44). The aberrant expression of β-catenin in the nucleus or cytoplasm stimulates cell proliferation and it significantly correlates with the poor survival of breast cancer patients exhibiting an advanced stage of the cancer (45–47). Wnt pathway also up-regulates transcription factors like Slug and Twist which are prominent markers for EMT (48). The over expression of the co-receptors LRP5 and LRP6 of Wnt pathway is also implicated in mammary gland tumorigenesis and is suggested to be used as a major prognostic marker for detection of breast cancer patients (49).

MicroRNA dysregulation has been linked with hyperactivation of Wnt signaling that drives breast tumorigenesis (50, 51). OncomiRs were found to activate/inhibit canonical/non-canonical Wnt pathways by mutual feedback loop mechanisms. High levels of expression of miR-182 by β-catenin targeted MMP inhibitor RECK thereby increasing invasiveness (52). miR-374a overexpression inhibited the suppressors of Wnt pathway (PTEN and WIF1) resulting in an increased Wnt-mediated EMT and metastasis in breast cancer cells (53). miR-1 and miR-100 suppressed breast cancer progression by targeting the receptors FZD7 and FZD8 of the Wnt pathway (54, 55). miR-218 showed a positive feedback loop by targeting Wnt inhibitors (Sclerostin (SOST), SFRP2) resulting in increased osteoblast differentiation and metastasis of cancer cells from breast to bone (56). Different miRs like miR-22, miR-200b, miR-185-3p, miR-324-3p, miR-26a, miR-487b, miR-329, miR-410, miR-374b were found to inhibit different Wnt ligands of canonical pathway (57). miR-122 and miR-148a were shown to suppress WNT1 ligand which in turn reduced cellular proliferation and metastasis respectively (58, 59). Binding of Wnt antagonists like WIF, Dkk, sFRP, activates Wnt signaling. Certain miRNAs like miR-374a, miR-603, miR-1260b, miR-328 were shown to target these Wnt antagonists, thereby activating the pathway. Downregulation of miR-200 family promotes EMT and tumorigenesis through Wnt/β-catenin pathway. miR-220a inhibited cancer progression by either targeting 3’UTR of the β catenin or ZEB1/2 (60, 61). Other miRs which are studied beside miR-200 cluster that regulate β catenin levels are miR-214, miR-320, miR-101, miR-1826, miR-548b, miR-33a (57). Twenty-seven miRNAs predicted to be involved in the regulation of Wnt signaling pathway were identified as differentially expressed in locally advanced triple negative breast cancer (TNBC) (62, 63). Recent studies showed that increased expression of miR-218-5p led to bone metastases in TNBC patients (64). Hence, these putative miRNAs are the major determinants in altering the Wnt pathway to initiate EMT.

3.3. Notch signaling

The formation of new blood vessels is very critical for the cancer cell migration and its metastatic spread. Tumor angiogenesis is regulated by several factors of which Notch is very crucial (65). High expression of Notch3 was reported to be associated with vessel formation and increased angiogenesis (66). Accumulating evidence suggest the deregulation of Notch in breast carcinogenesis (67). It also regulates various physiological processes including cell division, cell fate determination and migration that are involved in development and embryogenesis (68). The interaction between Notch receptors and their respective ligands triggers a cascade of sequential events like proteolytic cleavage to release Notch intracellular domain, its translocation to the nucleus, binding with the repressor thereby transcriptional activation of target genes that govern various cellular processes (71). Earlier studies have shown the involvement of Notch receptors as a primary site of integration of mouse mammary tumor virus (MMTV) (69). Over expression of Notch1 and Jag1 were mostly associated with poor prognosis in breast cancer patients (70). Induction of Slug mediates JAG1 activation of Notch in breast epithelial cells which in turn induces EMT (71). Constitutive activation of Notch1, Notch3, or Notch4 in mice led to formation of aggressive, metastatic breast tumors (67). Hey, a downstream target gene of Notch 1, activated Jagged-Notch-Slug signaling axis leading to an increase in breast cancer progression (71). Notch pathway was also found to promote EMT by mediating hypoxia stimulus which is mostly related to increased cell motility and invasiveness. Notch helps to indirectly stabilize Snail-1 by inducing Hypoxia inducible factor (HIF-1α) to lysyl oxidase (LOX) promoter (72). The interaction of Notch with other signaling pathways like Wnt and TGF-β bring about a dynamics which help in orchestrating EMT (73). LEF-1 a target gene of Wnt with Notch ligands Dll3 and Dll4 were detected simultaneously in array of 34 metastatic breast cancer (MBC) samples leading to its diagnosis (74).

Notch pathway is also shown to be regulated by miRNAs and in turn activation of Notch signaling has been shown to downregulate the miR-221/222 expression thereby promoting the metastasis of ERα positive cell lines (75). The alteration in the miRNA expression pattern between the ER−ve and the ER+ve luminal subtypes are shown to be associated with migration and poor prognosis (76). Differential expression of miR-130b-3p demonstrated regression in cell migration and invasion and inhibition of MMP 9 by targeting DLL1 ligands (77). ZEB1 was also shown to initiate Notch signaling by stabilizing the expression of its receptors Jagged1, Maml2, and Maml3, through inhibition of the miR-200 clusters (78). miR-metastatic breast 34a was shown to downregulate Notch 1 pathway in breast cancer stem cells (79). miR-34 family that includes miR-34a, miR-34b, miR-34c regulates p53 and Notch pathway and is suggested to have a tumor suppressor role in various cancers (80). It directly modulates Notch1 and Notch 2 levels resulting in suppression of cell renewal properties and stemness in cancer stem cells (81). Overexpression of miR-199-5p led to decrease in population of cancer cells by blocking Notch pathway (82). miR-146a was shown to repress Notch signaling by directly targeting Numb, a Notch inhibitor in breast cancer (83). The contribution of Notch in EMT is evident and is considered as one of the most promising targets for inhibiting tumor progression and overcoming chemo-resistance (84).

3.4. Hedgehog signaling

The hedgehog (Hh) pathway is critical for stem cell development and maintenance apart from other biological processes like regulation of tissue homeostasis and regeneration during development (85). Recent studies underline the importance of tightly controlled Hh pathway activation for proper development of mammary glands (86). Hedgehog signaling starts with three different ligands, and two receptors Patched (Ptch 1) and Smoothened (Smo). In the absence of the Hh ligand, Ptch1 inhibits signal transduction by inhibiting Smo. Hh ligand binding activates Smo resulting in the activation of GLI transcription factors, which can function as either activators or repressors of transcription (87, 88). Increasing evidence implicate the role of Hh pathway in regulation of EMT by maintaining the plasticity of the different EMT phenotypes (89). Deregulation of Hh pathway is usually associated with multifarious human cancers leading to tumorigenesis, metastasis and chemo-resistance (90). Primary cilia are non-motile structure involved in tight regulation of different signal transductions. Claudin low subtype of breast cancer acquires stem cell like state by the growth of primary cilia through Hh signaling (91). Colavito et al. (2014) identified overexpression of GLI1 to be a critical determinant of breast cancer cells that have undergone EMT. Further they showed that Hh signaling is crucial for cancer stem cell behaviour and discovered a novel link between Nf-κB and GLI1 (92). Conditional expression of GLI1 in experimental mouse models developed mammary tumors leading to metastasis in bone, validating the role of Hh pathway in EMT-mediated breast tumorigenesis (93, 94).

Very little is known about the microRNAs involved in the regulation of Hh signaling in breast cancer metastasis. miR-1471 is known to be downregulated in breast cancer by modulating the expression of Shh thereby leading to inhibition of metastasis (95). miR-212 regulates cell proliferation and invasion by targeting Patched 1 of Hh signaling (96). miR-326 directly targets Smo and GLI2 hence negatively regulating Shh signaling that is involved in mesenchymal phenotype (97). miR-124 has been reported to be the downstream target gene of Hh signaling and GLI2/miR-124 axis is crucial for cellular proliferation (98). miR-138 is associated as a tumor suppressor gene repressing Smo expression and hence suppressing migration and invasion (99). Though Hedgehog pathway is mostly related to developmental process, its contribution to EMT and maintaining stemness of the breast cancer cells can’t be ignored.


MicroRNAs are termed as master regulators of gene expression since it controls about 30% of the genes in human (100). It is already known that microRNAs are important modulators of malignant transformation and metastasis and that altered signatures revealed in different cancer types are indicators of the same (101). Increasing experimental evidence for more than a decade established the role of microRNAs in cancer initiation and progression and such miRNAs are called oncomiRs which either act as oncogenes or tumor suppressors (102). Their role has been well established in controlling EMT and the reverse process MET through well-defined signaling pathways and other cellular components (103). Their over-expression/under-expression disturbs the patho-physiological balance that targets EMT modulators leading to disease initiation and progression. Thus, miR signatures from metastasized tissue can be used to detect the primary site of cancer origin (104) and also based on the expression levels, it can be used to predict prognostic status of the disease. Accordingly, microRNAs function as switch to directly / indirectly control EMT via various signaling pathways and downstream events which in turn play key role in metastasis.

4.1. Upregulated miRNAs and their significance in EMT

Many microRNAs act as EMT regulators and their changed signatures have been well documented with the onset and progression of various cancers (105). A set of microRNAs including miR-200 clusters directly target EMT modulators for buffering transcriptional output in human mammary EMT models. Based on their up and down regulated expression pattern, it could be used as ideal indicators of the disease status. Increased miR9 levels downregulated E-cadherin expression by targeting CDH1 leading to initiation of EMT (106)(Tables 1-2). This loss of E-Cadherin, activated vascular endothelial growth factor (VEGF) leading to tumor angiogenesis (106). Elevated levels of miR-29a in breast carcinomas supressed tristetrapolin that disrupted epithelial polarity (107). miR-10b is a well-studied oncomiR in various types of cancers that promotes cell migration, tumor invasion and distant metastasis (108).

Tumors that have metastasized to distant organs retain miR signatures found in primary tumors and these specific signatures seem to be from different metastasis locations. This attribute of miRNAs makes them ideal prognostic markers for cancers. It has been reported that breast tumors that metastasized to lungs and ovaries had dysregulated levels of miR-3201 (109). Patients having overexpression of miR-21 in breast tumor showed advanced stage of the cancer, lymph node metastasis with poor prognosis (110–112). Upregulation of miR-21 activated MAPK pathway in HER2/neu-positive breast cancer cells by downregulating programmed cell death (PDCD4). Knock-down of miR-21 suppressed cell growth and proliferation in xenograft models (112). Several studies have indicated that levels of circulating miR-21 had strong correlation with different cancer stages independent of oestrogen-receptor status (104, 113–115). miR-155 is one of the well-studied miRs in all types of cancers and is associated with lymph node metastasis in breast cancer. When miR-155 was knocked down in human breast cancer cell lines, there was an inhibition of growth in cancer cells by induction of cell arrest in G0/G1 phase of cell cycle with increased apoptosis (112). Elevated levels of Hsa-miR-106b, miR-30b, miR-450a, miR-148a, miR-150 and miR-323 were shown to be associated with large tumor size and lymph node metastasis (116). miR-373 and 520c are pro-metastatic miRs, promoting tumor cell migration and invasion by targeting CD44 (117).

MicroRNAs are also released into the peripheral blood as circulating nucleic acids or are present in CTC (circulating tumor cells) that originate from tumor tissues. (118). Their nuclease resistant hairpin loop structure makes them ideal and stable biomarkers for early and non-invasive detection of breast cancers (119). For example, miR-103, miR-23a, miR-29a, miR-222, miR-23b, miR-24 and miR-25 upregulated in both serum and breast cancer tissues (120) are candidates to be detected from the blood. Elevated levels of miR-10b, miR-21, miR-125b, miR-145, miR-155, miR-19, miR-19a, miR-382, miR-181b, miR-24, miR-1, miR-133a, miR- 133b, miR-92a, miR-486-5p, miR-423-5p, miR-7, miR-185, let 7i, miR-16, miR-214, miR-16-2, let 7b, miR- 93, miR-320a have been detected in serum of breast cancer patients (113, 121, 122). Higher levels of miR-141, miR-200a, miR-200b, miR-200c, miR-203, miR-210, miR-375, and miR-801 were seen in plasma of CTC-positive compared to CTC-negative metastatic breast cancer patients and healthy individuals (123). It has been opined/demonstrated that in patients with TNBC, miR-18b, miR-103, miR-107, and miR-652 levels could be used to accurately predict tumor relapse and overall survival of the patients (124). Analysis of miRNAs profiles form the CTC have opened new frontiers in the field of prognosis leading to clinical management of the disease.

4.2. Downregulated miRNAs and its significance in EMT

The microRNAs having a low expression during the diseased condition are those which are classified as tumor suppressing or metastasis suppressing miRNAs. There are several miRs whose expression is significantly low in breast tumors compared to healthy tissues. miR-200 cluster has been reported to be downregulated in breast cancer. Recently, Gregory et al. have demonstrated that a regulatory autocrine signaling axis of TGF-β/ZEB/miR-200 exists in breast cancer patients (24). In a complementary study, it has been demonstrated that the over expression of miR-200 members caused E-cadherin upregulation and inhibited EMT via targeting the transcription factors ZEB1/2 (125) and a decrease in invasion and migration potential of cancer cells was observed by reintroduction of miR-200c (126). Breast cancer cells lose expression of miR-126 and miR-355 while progressing into metastatic stage, however, a knock-in rescue assay with these microRNAs reduced cell proliferation and invasiveness (127). In some cases, downregulation of metastasis suppressor miRs occurs due to their epigenetic silencing by CpG island hypermethylation (128). Low expression of miR-34c was found in breast cancer stem cells due to hypermethylation of CpG islands leading to overexpression of Notch4, thus promoting EMT. Ectopic expression of miR-34c led to reduced self-renewal, EMT and migration of breast cancer stem cells (129). Decreased levels of miR-34 were seen in breast carcinomas due to loss of function or mutations in p53, which in turn suppressed Snail1 activity. (130). MiR-34a also inhibits EMT by directly targeting Tumor protein D52 (TPD52) (131).

A low expression of miR-193a compared to adjacent healthy tissues suppressed breast cancer proliferation and metastasis by targeting Wilm’s Tumor 1 (WT1) expression (132). On similar lines, a negative correlation observed between levels of miR-33a and lymph node metastasis by targeting ADAM9 and ROS1 genes (133). Decreased levels of miR-30a and miR-138 were also reported in invasive ductal carcinoma (IDC) and MBC patients respectively. Overexpression of this miR led to downregulation of vimentin, a major player of EMT progression (134, 135) (Tables 1-2). miR-145 regulates motility of breast cancer cells by targeting fascin, JAM-A, PODXL, SERPIN E, mucin-1 thus inhibiting tumor metastasis (136). miR-148a also acts as a metastasis suppressor in triple negative breast cancer by targeting WNT1 and NRP. When miR-148a was over expressed, metastasis was suppressed in vivo by reduction of cancer cell extravasation (137). Downregulation of miR-149 and simultaneous upregulation of G-protein-coupled receptor kinase-interacting protein 1 (GIT1) was observed in advanced breast cancer (138) and that led to the understanding that miR-149 is a metastasis suppressor gene and targets GIT1 transcripts.

Reduced expression of miR-99b, miR-125b, miR-205, miR-130b, miR-24, miR-99a and miR-199a/b-3p are reported in breast cancer cells having metastatic potential. miR-199a/b-3p arrests breast cancer cells in G1 phase and inhibits PAK4 which is known to have roles in tumorigenesis (104, 139). miR-let7a found in most of the cancers downregulates invasion propensity by targeting CCR7 (140). Reduction in the levels of miR-17-5p and miR-20a causes increase in α-enolase secretion, IL-8 and cyclin D1 which induces secretion of CK-8 that in turn activates plasminogen in promoting migration of cancer cells (141). miR-448 is downregulated in breast cancer cells subjected to chemotherapy and the suppression of the same promoted SATB1(Special AT-rich sequence binding protein1) expression which led to EMT via activation of AR-EGFR (Amphiregulin-Epidermal Growth Factor Receptor) and NF-κB signalling (142). Empirical evidences show that some microRNAs are released into various extracellular components under pathological conditions and studies have also established a correlation between circulating miRs and breast cancer status. (117). Interestingly, there are microRNAs whose levels are reduced in the serum of cancer patients compared to healthy individuals. For example, miR-223, miR-338-3p and miR-768-3p are downregulated in serum of breast cancer patients (123). Serum biomarker level changes during treatment and hence can be correlated with progression-free survival (PFS) and monitoring of disease status in metastatic breast cancer patients.

4.3. miRNA as possible therapeutic molecules

Since there is an inverse correlation between expression levels of microRNAs and their targets, they can be used as ideal therapeutic candidates for cancer therapy. MicroRNAs that are upregulated in cancerous conditions can be targeted by using antimiRs /miRNA sponges; while those that are downregulated or lost can be reintroduced using microRNA mimics that can complement the loss. Introduction of miR-33a, miR-149 and miR-145 as mimics reduced cancer cell proliferation (133, 138). miR-34a overexpression as mimics targeted TPD52, which resulted in less invasion and migration of breast cancer cells (131). Decreased vimentin levels and increased E-cadherin levels was observed when miR-138 was overexpressed in breast cancer cell lines (135). miR-199a/b-3p was used to target PAK4/MEK/ERK pathway resulting in reduced tumorigenesis (139). Anti-miRs of miR-373 and miR-762 suppressed migration of cancer cells in vitro suggesting that these miRs can be targeted to decrease invasiveness of breast cancer (117). Interestingly cancer cell sensitivity to chemical agents such as paclitaxel used in cancer therapy is increased by introduction of miR-200c by repression of class III beta tubulin (TUBB3) (126). Various DNA carriers such as nanoparticles, liposomes, dendrimers etc. are used to deliver these short nucleotides at the specific sites (143). BRCA1 deficient tumors were targeted by antimiRs of miR-21 as PNA (Peptide Nucleic acid) (112, 144). Effective knockdown of Twist expression was observed in vivo when PEI coated mesoporous silica nanoparticles was conjugated with siRNA (145). 1,2-dioleoyl-sn-glycero-3-phosphatidylcholine (DOPC) based nanoliposomes were used to deliver EphA2 siRNA directly into the tumor cells with enhanced permeation (146).Thus, microRNAs could be potential futuristic molecules to target breast cancer. Though decisive and conclusive experimentation is still eluding, there is immense potential of miRNAs in cancer therapy as shown by some preliminary studies. There is still a long way to go for successfully translating this potential from the realms of laboratory to the clinical reality.


The process of dissemination of the cells from the solid tumor during metastasis has already been established in 1900s. Certain cells shed from the primary tumors, migrate early via blood stream and they are called circulating tumor cells (CTC). They serve as mediators of homing cascade in metastasis (147). Detection and evaluation of these cells in blood stream has an important implication in clinical applicability (148). Their presence in the peripheral blood is suggested to be an indicator of poor clinical outcome before and after chemotherapy (149). Also, it has been used to assess progression free survival and overall survival. CTC that undergo EMT, acquire partial mesenchymal phenotype which results in decreased epithelial gene expression and loss of cell contact from basement membrane (150). Therefore, it can be used as a biomarker to monitor cancer progression non-invasively and also decide the treatment regimen. However, it is limited by the methods of detection and isolation of the CTC as their numbers are as low as 1 CTC per billion normal blood cells (151). Therefore, improved detection techniques with cocktail of EMT markers and epithelial markers have been suggested for the isolation and enrichment of CTC (152). Analysis of blood samples from breast cancer patients revealed the presence of relevant number of CTC that correlates with different grades, stages and lymph node status of the cancer (153). Therefore, CTC hold a great promise in improving the current diagnostic and prognostic tools along with appropriate treatment regimen.

As discussed earlier, microRNAs can be found free in blood as circulating tumor RNAs, with specific signatures of the grades and stages of tumors. These microRNAs are also present in the circulating tumor cells and a study by (2019) established that there was a correlation in the expression pattern of microRNAs in the CTC with that of the unique expression pattern of microRNAs that was observed with the tumor cells in metastatic breast cancer patients. They further found that miR-106b detected from CTC of primary tumor could predict the prognostic potential of patients with MBC (154). Compared to the already discovered circulating miRNAs and tissue specific miRNAs, very less is known about the microRNAs present in the CTC. Deregulation of single miRNA can have profound effect on expression levels of hundreds of mRNAs leading to changes in actual target mRNAs’ regulatory functions in cancer development. Tumor specific miRNAs are the best set of miRNAs to profile and assess cancer types, grades and stages and thus are valuable tools for detecting the diseased condition. However, characterization of molecular signatures of CTC leading to miRNA and mRNA profiles can improve the currently available model towards personalized diagnosis and therapy (155).

5.1. Identification and enrichment methods of CTC

In the scenario of metastatic disease settings, CTC has gained importance as a tool for therapeutic monitoring and stratification of patients. Though remarkable progress has been made in the technology-front for detection and enrichment of CTC from peripheral blood, the procedure remains still challenging. Identification and isolation of CTCs requires enrichment because of its heterogenous nature and low concentration in blood. Besides identification of CTC level in the blood, the need to characterize the CTC as a unique biomarker for therapy monitoring and prediction has been the focus of recent studies. Current technologies relies mostly on immunomagnetic and immunosorbent assay-based methods to isolate CTC (156). Surface based protein expression (EpCAM) and mRNA-based analysis (RT-PCR) are then used to characterize the cells. Because of these challenges both enrichment and characterization are often combined for enumeration of CTC in blood. Earlier studies have proved the variable expression of EpCAM levels in different breast cancer subtypes. Under this setting, both negative and positive markers like CD45, MUC-1, GA 73302, cytokeratins are currently employed for immunohistochemical analysis (157). The Ficoll and OncoQuick system works on density gradient centrifugation where CTC are separated from red blood cells and granulocytes. These are non-specific and CTC can also migrate between the layers losing their integrity (151, 158). The ISET (Isolation by Size of Epithelial Tumor cell) method employs filters of 8 μm thickness to separate the CTC from the blood cells.

Due to poor specificity and lower efficiency, these techniques have fallen out and immunological assay have taken their place. To increase the analyzed blood volume, an innovative method (Cell Collector) having EpCAM antibody activated wire, inside patients’ cubital veins for 30 minutes was done. Positive CTC having the antigen can be screened with high efficiency by this method (159). Microfluidic systems (DFF-chip, JETTA) combine hydrodynamic cell sorting and antibody-based selections for screening and isolation of these cells (160, 161). The only current gold standard method approved by FDA (Food and Drug Administration) for detection of CTC is the Cell Search CTC test (Veridex, Rarita NJ) (162). It is a cell spot analyzer which combines semi-automated isolation of EpCAM positive cells by magnetic nanoparticles and further characterization is done by immunofluorescent staining of different cytokeratins and CD45 to eliminate leukocytes. Cells having low EpCAM levels might escape from this analysis and hence reduce the efficiency of this technology (163). The alternate method is the immunomagnetic assay Adna Test Breast Cancer Select system (AdnaGen, Langenhagen, Germany). It uses magnetic beads coated with surface antigens (MUC-1, CD45, EpCAM) for isolation and enrichment of CTC (164). The detection rates of CTCs by this method are in the range of 69 to 73 % with less blood drawn from the patients (165). The IsoFlux CTC system is recently approved for CTC isolation and enrichment as it combines microfluidics with immuno-separation to achieve high end isolation with increased efficiency as standard methods. It uses a four microfluidic cartilage system to isolate CTC in less than 2 hours and requires only 7-10 ml of blood for analysis (166, 167).

Detection of miRNAs from CTC helps in providing better insights about real time evolution of tumor dynamics making it a potential alternative to tumor biopsy (168). After isolation and enrichment of CTC by EpCAM positive bead-based method, Markov et al. in 2016 selected a few miRNAs, miR-21, miR-146a, miR200 and miR-210 which were already established as markers for breast cancer invasion, migration and metastasis (169). To validate the same in enriched CTC, TaqMan qRT-PCR miRNA assay was performed on 55 patients’ samples with 20 healthy controls. miR-21 was found to be upregulated in both plasma and enriched EpCAM CTC in all the samples (170). Similar studies showed that CTC-positive patients have higher concentrations of circulating miR-200a-c and miR-210 than CTC-negative patients and controls (171–173). Thus, it can be inferred that the miRNA profiling from the CTC can be a promising candidate for the better assessment of the disease status (174). In another study, enriched CTC were isolated using Cell Search Profile kit from 50 patients of metastatic breast cancer for miRNA profiling before starting the chemotherapy regimen (175). After screening 436 miRNAs, 39 miRNAs were having ten times higher expression than normal cells. Moreover, 4 miRNAs were identified which could differentiate ER positive and ER negative tumors. miR-183 was identified as the “CTC specific” marker having high levels of expression in all patients with >5 CTCs/7.5 ml compared to those patients with <5 CTCs/7.5 ml (175). A novel ‘paper based miRNA expression profiling’ was carried out from CTC using cellulose paper based elute card (176). After identification and enrichment of CTC, they were spotted on to Micro Well Mini Tray and multiplexing was carried out. Selected miRNAs were profiled from 21 patients’ samples and 3 healthy controls. A fold difference of 2.3 was observed between the expression in CTC and CTC free samples. Moreover, decreased miR-28-5p and increased miR-221 levels was observed from samples drawn before and after the chemotherapy (176). Thus, characterization of CTC with their corresponding miRNA status would give an additional tool to monitor the therapeutic response in cancer patients.

5.2. CTC as indicators of Prognostic status: Towards personalized medicine

Evaluation of therapy response currently involves series of clinical tests, estimation of tumor biomarkers and various imaging techniques. CTC have emerged as an alternative for assessing prognosis and tumor burden before or after the treatment. The first relevant study on using CTC as a prognostic marker was done by Cristofanilli in 2004. Analysis of 177 metastatic breast cancer patients’ peripheral blood was done by using CTC and correlation studies with progression free survival (PFS) and overall survival (OS). Detection of at least 5 CTC in 7.5 ml blood was associated with shorter PFS and OS (median PFS: 2.7 vs. 7.0 months; OS: 10.1 vs. 18 months) (177). After serial analysis of CTC in patient’s serum a collective threshold of 5 CTC/7.5 ml blood was established as a prediction for good or poor clinical outcome in MBC patients. Although 2007 ASCO tumor marker guidelines clearly states that the measurement of CTC should not be used for treatment modifications and diagnosis, sufficient studies have proven that CTC are associated with an increased risk of disease reoccurrence (178). Reduction of cytokeratin 19 mRNA positive CTC during chemotherapy was an effective indicator of a clinical outcome (179, 180). In a serum based study of 267 patients, CTC count of 5 or greater in 7.5 ml blood was considered to be a strong prognostic value for PFS (HR 1.78) and OS (HR 2.33) (181, 182). The limitation of the above study was that the value of CTC could not be evaluated for meta-analysis because of the different treatment regimen followed with the study group itself.

Punnoose et al (2010) studied CTC count using Cell Search and CTC chip platforms for different MBC subtypes of patients. Lower count of CTC was observed in HER2 triple negative compared to ER positive cancer subtypes (183). This phenomenon may be due to low EpCAM expression and high percentage of EMT marker in basal like subtypes. A different approach has been used for assessment of HER2 expression in CTC by using immunohistochemistry and in situ hybridization (184). Another study of 254 patients with MBC indicated that 42% of HER2 positive tumor had HER2 negative CTC and 29% of HER2 negative tumor had HER2 positive CTC (185). Similar discrepancies of discordant HER2 status have been reported in early breast cancer studies (186). This indicated that the CTC have a phenotypic variability compared to the primary tumors (187, 188). Currently a multicenter study in Europe is underway for CTC of MBC patients with HER2 negative primary tumors and this might provide conclusive insights regarding the variability of HER2 phenotype (189). The overall survival analysis in a study of 468 patients with MBC was not predicted by CTC count in HER2 positive subtype, but their presence was found later in the same study after treatment with trastuzumab (190). As a follow up of this study, a neoadjuvant phase III NEO-ALTTO trial was set up in response to trastuzumab and lapatinib. No significant correlation was seen between CTC detection and complete pathological response by PET/CT scan (191). The phase III SUCCESS B trial for early HER2 positive primary tumor outcome was that if the patient’s blood had one or more detectable CTC with good staining, they were considered HER2 positive (192).

Proper randomized clinical trials are paramount for establishing the authenticity of any biomarker as indicators of the disease outcome. To assess whether the patients of MBC benefit from the therapy based on the CTC evaluation, a randomized phase III study was initiated by the Southwest Oncology group “SWOG S50500” ( identifier: NCT 00382018) (193). After the clinical evidence of disease progression, patients having > 5 CTC after one cycle of chemotherapy were randomized either to switch to new treatment or continue till tumor progression. Similarly, an ongoing CirCe01 trial evaluates and assesses the CTC count after an adjuvant therapy. If the response of CTC for the therapy was insufficient (the number of CTC did not come down), then the patients were switched early to a different treatment regimen (194). An existing STIC CTC METABREAST trial ( identifier: NCT01710605) was planned to check the aggressive therapy response in patients having high CTCs value (194). Patients were then organized randomly into groups based on their CTC count and clinicians’ choice. Patients with high CTC count (>5 CTC) were taken for chemotherapy whereas patients with low CTC counts were treated with endocrine therapy. The German DETECT V CHEVENDO trial ( identifier: NCT 02344472) is also set to evaluate the effect of dual anti- HER2 therapy (trastuzumab and pertuzumab) combining chemotherapy/ radiotherapy based on CTC levels (194). Bauer et al. 2018 investigated 574 breast cancer patients for tumor reoccurrence, two and five years after primary diagnosis in peripheral blood using FDA Cell Search system for CTC level detection (195). Later, in the follow up study, 8.2 % of CTC were detected after two years whereas no detection was observed after five years. Apart from CTC, serum tumor biomarkers (circulating tumor DNA and exosomes) have been considered for the monitoring of tumor progression in breast cancer. Dawson et al measured various biomarkers in thirty MBC patients and found that both CTC and circulating tumor DNAs had high levels and they were associated with low PFS and OS values (196). The detection and molecular characterization of CTC offer distinctive advantage to understand the etiology of metastasis which can serve as a liquid biopsy approach.


Breast cancer is highly heterogenous with various subtypes, each exhibiting different biological and cellular behavior leading to different clinical outcomes. Epithelial to mesenchymal transition (EMT) is emerging as one of the players of metastasis. Though the mechanism by which cell migrate and invade by EMT has been extensively studied, understanding the intricate cross talk between different signaling pathways and their regulators are necessary to bring about effective treatment regimen. MicroRNAs have completely transformed our comprehension of carcinogenesis because of their capacity to act as both tumor suppressors and oncogenes. Although many miRNAs have been found and identified as potent regulators of metastasis, most of them have not yet been characterized for potential clinical applications. However, the use of circulating microRNAs as diagnostic and prognostic serum markers appears to be inevitable for early breast cancer detection. The assessment and effectiveness of any prognostic tool is to evaluate the treatment effect. In this regard, the clinical impact emerging from CTC is due to its capacity to convey the information of tumour progression to clinicians based on its number or count. The transcriptome analysis of these designated cells can further help us in understanding the tumour biology in real time, thus giving impetus to formulate newer drugs for combating the hyper variability of tumour dynamics. However, careful monitoring has to be done for collection of blood along with tissue and their matched normals for proper correlative studies. With the latest advancement in microRNA research and with newer technologies being developed, an integrated model encompassing CTC, miRNA and mRNAs based detection and targeted therapies would emerge as a novel thernaostic approach for advanced breast cancer management.


Authors would like to acknowledge Dr. V. Dinesh Kumar for his critical remarks and help in editing this review article. AK is grateful to the Ministry of Human Resource Development, Govt. of India, for providing fellowship during this period.

Table 1 miRNAs in cancer cells and serum of metastatic breast cancer patients
Status of the miRNA miRNA References
Upregulated in metastatic breast cancer cells miR-9, miR-29a, miR-10b, has-miR-106b-5p, has-miR-7-5p, miR-1273g-3p, miR-21, miR-30b, miR-155, miR-106b, miR-450a, miR-148a, miR-150, miR-373, miR-762, miR-103, miR-23a miR-222, miR-23b, miR-24, miR-25 (106), (107), (108), (109), (110), (104), (112), (116), (117), (197), (120)
Downregulated in metastatic breast cancer cells miR-126, miR-355, miR-34, miR-34a, miR-200, miR-205, miR-200c, miR-30a, miR-33a, miR-138, miR-148a, miR-149, miR-199a/b-3p, miR-99a, miR-99a, miR-125b, miR, miR-130b, miR-448, miR-193a, miR-17-5p, miR-20a (127), (129), (130), (131), (198), (126), (134), (133), (135), (137), (138), (139), (104), (142), (132), (141)
High levels found in serum miRNA-106b, miR-103, miR-23a miR-222, miR-23b, miR-24, miR-25, miR-29a, miR-10b, miR-21, miR-125b, miR-145, miR-155, miR-19, miR-19a, miR-382, miR-181b, miR-1, miR-133a, miR-133b, miR-92a, miR-486-5p, miR-423-5p, miR-7, miR-185, let-7i, miR-16, let-7b, miR-93, miR-214, miR-16-2, miR-320a, miR-21, miR-18b, miR-103, miR-107, miR-652, miR-141, miR-200a, miR-200b, miR-200c, miR-210, miR-375, miR-801 (116), (120), (121), (122), (113), (114), (124), (123)
Low levels found in serum miR-223, miR-338-3p, miR-768-3p (122), (123)
Table 2 Important miRNAs in metastatic breast cancer cells, their known targets and the causative effect caused by their upregulation/downregulation
miRNA Status Target Effect on breast cancer cells References
miR-9 Upregulated E-cadherin Loss of cell adhesion, activation of Wnt signaling, increase in VEGF levels (106)
miR-10b Upregulated HOXD10 Increased expression of pro-metastatic gene RHOC (108)
miR-21 Upregulated PCD4, TPM1, EIF4A2, ANKRD46, RHOB Increase in metastatic potential (112), (115), (199)
miR-373 Upregulated CD44 Increased migration and invasion (117)
miR-762 Upregulated IRF7 Invasion (197)
miR-34c Downregulated Notch4 Induction of EMT (129)
miR-34 Downregulated Snail1 Activation of EMT (130)
miR-34a Downregulated TPD52 Increased migration and invasion (131)
miR-200 family and miR-205 Downregulated ZEB1, SIP1 Loss of epithelial characteristics (198)
miR-193a Downregulated WT1 Increased metastatic potential (132)
miR-30a, miR-138 Downregulated Vimentin Increased expression of vimentin-mesenchymal protein in IDC (134)
miR-33a Downregulated ADAM9, ROS1 Increased metastatic potential (133)
miR-138 Downregulated Vimentin Increased expression of vimentin-mesenchymal protein. (135)
miR-145 Downregulated Fascin, JAM-A, PODXL, SERPIN E, mucin-1 Increased metastatic potential (136)
miR-148a Downregulated WNT1, NRP Increased metastatic potential in TNBC (137)
miR-149 Downregulated GIT1 Increased metastatic potential (138)
miR-199a/b-3p Downregulated PAK4 Increased migration and invasive capacity (139)
miR-let-7a Downregulated CCR7 Increased migration and invasive capacity (140)
miR-17-5p, miR-20a Downregulated α-enolase Increased migration and invasive capacity (141)
miR-448 Downregulated SATB1 EMT via activation AR-EGFR signaling (142)



deoxyribonucleic acid


Transforming growth factor




Epithelial to Mesenchymal transitions


Circulating tumor cells


Triple negative breast cancer


Metastatic breast cancer

YeXBrabletzTKangYLongmoreGDNietoMAStangerBZYangJWeinbergRABrief Communications Arising Upholding a role for EMT in breast cancer metastasis. Nat Publ Gr2017547E1E3DOI: 10.1038/nature22816
AielloNMMaddipatiRNorgardRJBalliDLiJYuanSYamazoeTBlackTSahmoudAFurthEEBar-SagiDStangerBZEMT Subtype Influences Epithelial Plasticity and Mode of Cell Migration. Dev Cell201845681695DOI: 10.1016/j.devcel.2018.05.027
MicalizziDSFarabaughSMFordHLEpithelial-Mesenchymal Transition in Cancer : Parallels Between Normal Development and Tumor Progression. J Mammary Gland Biol Neoplasia201015117134DOI: 10.1007/s10911-010-9178-9
RocheJThe Epithelial-to-Mesenchymal Transition in Cancer. Cancers (Basel)2018101013DOI: 10.3390/cancers10020052
HeLMicroRNAsGJ HannonSmall RNAs with a big role in gene regulation. Nat Rev Genet20045522531DOI: 10.1038/nrg1415 DOI: 10.1038/nrg1379
MicroRNAsDP Bartel: ReviewGenomics, Biogenesis, Mechanism, and Function ulation of hematopoietic lineage differentiation in mam-mals (Chen et al., 2004), and control of leaf and flower development in plants (Aukerman and Sakai, 2003. Cell2004116281297DOI: 10.1016/S0092-8674(04)00045-5
CursonsJPillmanKAScheerKGGregoryPAForoutanMHediyeh-ZadehSToubiaJCrampinEJGoodallGJBrackenCPDavisMJCombinatorial Targeting by MicroRNAs Co-ordinates Post-transcriptional Control of EMT. Cell Syst201877791DOI: 10.1016/j.cels.2018.05.019
ZaravinosAThe Regulatory Role of MicroRNAs in EMT and Cancer. J Oncol20152015113DOI: 10.1155/2015/865816
MicalizziDSMaheswaranSHaberDAA conduit to metastasis : circulating tumor cell biology. Genes Dev20173118271840DOI: 10.1101/gad.305805.117
OrtegaFGLorenteJAPucheJL GarciaRuizMPSanchez-MartinRMMiguel-PérezD deDiaz-MochonJJSerranoMJmiRNA in situ hybridization in circulating tumor cells - MishCTC. Sci Rep201559207DOI: 10.1038/srep09207
WangYZhouBPEpithelial-Mesenchymal Transition-A Hallmark of Breast Cancer Metastasis. Cancer Hallm201313849DOI: 10.1166/ch.2013.1004
GonzalezDMMediciDSignaling mechanisms of the epithelial-mesenchymal transition. Sci Signal20147re8DOI: 10.1126/scisignal.2005189
LuWKangYReview Epithelial-Mesenchymal Plasticity in Cancer Progression and Metastasis. Dev Cell201949361374DOI: 10.1016/j.devcel.2019.04.010
FedeleMCerchiaLChiappettaGThe Epithelial-to-Mesenchymal Transition in Breast Cancer: Focus on Basal-Like Carcinomas. Cancers (Basel)20179134DOI: 10.3390/cancers9100134
OlivetoSMancinoMManfriniNBiffoSRole of microRNAs in translation regulation and cancer. World J Biol Chem201784556DOI: 10.4331/wjbc.v8.i1.45
DrabschYDijkeP TenTGF-β signaling in breast cancer cell invasion and bone metastasis. J Mammary Gland Biol Neoplasia20111697108DOI: 10.1007/s10911-011-9217-1
M.Z JTwo faces of TGF-beta1 in breast cancer. Mediators Inflamm20142014DOI: 10.1155/2014/141747
ImamuraTHikitaAInoueYThe roles of TGF-β signaling in carcinogenesis and breast cancer metastasis. Breast Cancer201219118124DOI: 10.1007/s12282-011-0321-2
BuckMBKnabbeCTGF-beta signaling in breast cancer. Ann N Y Acad Sci20061089119126DOI: 10.1196/annals.1386.024
MorrisonCDParvaniJGSchiemannWPThe relevance of the TGF-β Paradox to EMT-MET programs. Cancer Lett20133413040DOI: 10.1016/j.canlet.2013.02.048
VegaSMoralesA VOcañaOHValdésFFabregatINietoMASnail blocks the cell cycle and confers resistance to cell death. GENES Dev20041811311143DOI: 10.1101/gad.294104
ZhangZHuangLZhaoWRigasBAnnexin 1 induced by anti-inflammatory drugs binds to NF-kappaB and inhibits its activation: anticancer effects in vitro andin vivo. Cancer Res20107023792388DOI: 10.1158/0008-5472. CAN-09-4204
ParkS-MGaurABLengyelEPeterMEThe miR-200 family determines the epithelial phenotype of cancer cells by targeting the E-cadherin repressors ZEB1 and ZEB2. Genes Dev200822894907DOI: 10.1101/gad.1640608
GregoryPABrackenCPSmithEBertAGWrightJARoslanSMorrisMWyattLFarshidGLimY-YLindemanGJShannonMFDrewPAKhew-GoodallYGoodallGJAn autocrine TGF-beta/ZEB/miR-200 signaling network regulates establishment and maintenance of epithelial-mesenchymal transition. Mol Biol Cell20112216861698DOI: 10.1091/mbc.e11-02-0103
KorpalMLeeESHuGKangYThe miR-200 family inhibits epithelial-mesenchymal transition and cancer cell migration by direct targeting of E-cadherin transcriptional repressors ZEB1 and ZEB2. J Biol Chem20082831491014914DOI: 10.1074/jbc. C800074200
SiemensHJackstadtRHüntenSKallerMMenssenAGötzUHermekingHmiR-34 and SNAIL form a double-negative feedback loop to regulate epithelial-mesenchymal transitions. Cell Cycle20111042564271DOI: 10.4161/cc.10.24.18552
ZhangJTianX-JZhangHTengYLiRBaiFElankumaranSXingJTGF-β-induced epithelial-to-mesenchymal transition proceeds through stepwise activation of multiple feedback loops. Sci Signal 7, ra91 LP-2014ra91DOI: 10.1126/scisignal.2005304
SuzukiHIMicroRNA Control of TGF-β Signaling. Int J Mol Sci2018191901DOI: 10.3390/ijms19071901
ChenYHuangSWuBFangJZhuMSunLZhangLZhangYSunMGuoLWangSTransforming growth factor-β1 promotes breast cancer metastasis by downregulating miR-196a-3p expression. Oncotarget201784911049122DOI: 10.18632/oncotarget.16308
JohanssonJBergTKurzejamskaEPangMTaborVJanssonMRoswallPPietrasKSundMReligaPFuxeJMiR-155-mediated loss of C / EBP b shifts the TGF- b response from growth inhibition to epithelial-mesenchymal transition , invasion and metastasis in breast cancer. Oncogene20133256145624DOI: 10.1038/onc.2013.322
GrauAMWenÆWRamroopsinghÆDSZiJCaiÆQWeiÆXSÆCirculating transforming growth factor- b -1 and breast cancer prognosis : results from the Shanghai Breast Cancer Study. Breast Cancer Res Treat2008112335341DOI: 10.1007/s10549-007-9845-8
IvanovićVTodorović-RakovićNDemajoMNešković-KonstantinovićZSubotaVIvanišević-MilovanovićONikolić-VukosavljevićDElevated plasma levels of transforming growth factor-β1 (TGF-β1) in patients with advanced breast cancer: association with disease progression. Eur J Cancer200339454461DOI: 10.1016/S0959-8049(02)00502-6
Divella R Daniele A Savino E Palma F Bellizzi A Giotta F Simone G Lioce M Quaranta M Paradiso A Mazzocca A Circulating Levels of Transforming Growth Factor-βeta as Predictors of Distant Seeding of Circulating Tumor Cells in Patients with Metastatic Breast Cancer. Anticancer Res 2013 33 1491 1497
RichardsenEUglehusRDJohnsenSHBusundL-TImmunohistochemical expression of epithelial and stromal immunomodulatory signalling molecules is a prognostic indicator in breast cancer. BMC Res Notes20125110DOI: 10.1186/1756-0500-5-110
KaziMTrivediTKobawalaTGhoshNThe Potential of Wnt Signaling Pathway in Cancer: A Focus on Breast Cancer. Cancer Transl Med2016255DOI: 10.4103/2395-3977.181437
KovalAKatanaevVLDramatic dysbalancing of the Wnt pathway in breast cancers. Sci Rep20188211DOI: 10.1038/s41598-018-25672-6
YinPWangWZhangZBaiYGaoJZhaoCWnt signaling in human and mouse breast cancer: Focusing on Wnt ligands, receptors and antagonists. Cancer Sci201810933683375DOI: 10.1111/cas.13771
DuchartreYKimY-MKahnMThe Wnt signaling pathway in cancer. Crit Rev Oncol Hematol201699141149DOI: 10.1016/j.critrevonc.2015.12.005
HeinonenKMVanegasJRLewDKroslJPerreaultCWnt4 enhances murine hematopoietic progenitor cell expansion through a planar cell polarity-like pathway. PLoS One20116e19279e19279DOI: 10.1371/journal.pone.0019279
ToyamaTLeeHCKogaHWandsJRKimMNoncanonical Wnt11 inhibits hepatocellular carcinoma cell proliferation and migration. Mol Cancer Res20108254265DOI: 10.1158/1541-7786. MCR-09-0238
AmerongenR vanAlternative Wnt pathways and receptors. Cold Spring Harb Perspect Biol 4, a007914DOI: 10.1101/cshperspect.a007914
LawsonCDBurridgeKThe on-off relationship of Rho and Rac during integrin-mediated adhesion and cell migration. Small GTPases20145e27958e27958DOI: 10.4161/sgtp.27958
HosseiniHObradovićMMSHoffmannMHarperKLSosaMSWerner-KleinMNanduriLKWernoCEhrlCManeckMPatwaryNHaunschildGGužvićMReimeltCGrauvoglMEichnerNWeberFHartkopfADTaranF-ABruckerSYFehmTRackBBuchholzSSpangRMeisterGAguirre-GhisoJAKleinCAEarly dissemination seeds metastasis in breast cancer. Nature2016540552558DOI: 10.1038/nature20785
DiMeoTAAndersonKPhadkePFanCPerouCMNaberSKuperwasserCA novel lung metastasis signature links Wnt signaling with cancer cell self-renewal and epithelial-mesenchymal transition in basal-like breast cancer. Cancer Res20096953645373DOI: 10.1158/0008-5472. CAN-08-4135
Wang Z Zhang H Hou J Niu J Ma Z Zhao H Liu C Clinical implications of β-catenin protein expression in breast cancer. Int J Clin Exp Pathol 2015 8 14989 14994
López-KnowlesEZardawiSJMcNeilCMMillarEKACreaPMusgroveEASutherlandRLSA O'Toole:Cytoplasmic Localization of β-Catenin is a Marker of Poor Outcome in Breast Cancer Patients. Cancer Epidemiol Biomarkers & Prev 19, 301 LP -2010309DOI: 10.1158/1055-9965. EPI-09-0741
Aristizabal-PachonAFCarvalhoTICarraraHHAndradeJTakahashiCSAXIN2 polymorphisms, the β-catenin destruction complex expression profile and breast cancer susceptibility. Asian Pacific J Cancer Prev20151672777284DOI: 10.7314/APJCP.2015.16.16.7277
YookJILiX-YOtaIHuCKimHSKimNHChaSYRyuJKChoiYJKimJFearonERWeissSJA Wnt-Axin2-GSK3β cascade regulates Snail1 activity in breast cancer cells. Nat Cell Biol2006813981406DOI: 10.1038/ncb1508
MaJLuWChenDXuBLiYRole of Wnt Co-Receptor LRP6 in Triple Negative Breast Cancer Cell Migration and Invasion. J Cell Biochem201711829682976DOI: 10.1002/jcb.25956
SongJLNigamPTektasSSSelvaEmicroRNA regulation of Wnt signaling pathways in development and disease. Cell Signal20152713801391DOI: 10.1016/j.cellsig.2015.03.018
PengYZhangXFengXFanXJinZThe crosstalk between microRNAs and the Wnt/β-catenin signaling pathway in cancer. Oncotarget201681408914106DOI: 10.18632/oncotarget.12923
ChiangC-HHouM-FHungW-CUp-regulation of miR-182 by β-catenin in breast cancer increases tumorigenicity and invasiveness by targeting the matrix metalloproteinase inhibitor RECK. Biochim Biophys Acta - Gen Subj2013183030673076DOI: 10.1016/j.bbagen.2013.01.009
CaiJGuanHFangLYangYZhuXYuanJWuJLiMMicroRNA-374a activates Wnt/β-catenin signaling to promote breast cancer metastasis. J Clin Invest2013123566579DOI: 10.1172/JCI65871
LiuTHuKZhaoZChenGOuXZhangHZhangXWeiXWangDCuiMLiuCMicroRNA-1 down-regulates proliferation and migration of breast cancer stem cells by inhibiting the Wnt/β-catenin pathway. Oncotarget201564163841649DOI: 10.18632/oncotarget.5873
JiangQHeMGuanSMaMWuHYuZJiangLWangYZongXJinFWeiMMicroRNA-100 suppresses the migration and invasion of breast cancer cells by targeting FZD-8 and inhibiting Wnt/β-catenin signaling pathway. Tumor Biol20163750015011DOI: 10.1007/s13277-015-4342-x
HassanMQMaedaYTaipaleenmakiHZhangWJafferjiMGordonJARLiZCroceCMWijnenAJ vanSteinJLSteinGSLianJBmiR-218 directs a Wnt signaling circuit to promote differentiation of osteoblasts and osteomimicry of metastatic cancer cells. J Biol Chem20122874208442092DOI: 10.1074/jbc. M112.377515
PengYZhangXFengXFanXJinZThe crosstalk between microRNAs and the Wnt/β-catenin signaling pathway in cancer. Oncotarget201781408914106DOI: 10.18632/oncotarget.12923
YanHDongXZhongXYeJZhouYYangXShenJZhangJInhibitions of epithelial to mesenchymal transition and cancer stem cells-like properties are involved in miR-148a-mediated anti-metastasis of hepatocellular carcinoma. Mol Carcinog201453960969DOI: 10.1002/mc.22064
XuJZhuXWuLYangRYangZWangQWuFMicroRNA-122 suppresses cell proliferation and induces cell apoptosis in hepatocellular carcinoma by directly targeting Wnt/β-catenin pathway. Liver Int201232752760DOI: 10.1111/j.1478-3231.2011.02750.x
Su J Zhang A Shi Z Ma F Pu P Wang T Zhang J Kang C Zhang Q MicroRNA-200a suppresses the Wnt/β-catenin signaling pathway by interacting with β-catenin. Int J Oncol 2012 40 1162 1170
SaydamOShenYWürdingerTSenolOBokeEJamesMFTannousBAStemmer-RachamimovAOYiMStephensRMFraefelCGusellaJFKrichevskyAMBreakefieldXODownregulated microRNA-200a in meningiomas promotes tumor growth by reducing E-cadherin and activating the Wnt/beta-catenin signaling pathway. Mol Cell Biol20092959235940DOI: 10.1128/MCB.00332-09
Avery-KiejdaKABrayeSGMatheAForbesJFScottRJDecreased expression of key tumour suppressor microRNAs is associated with lymph node metastases in triple negative breast cancer. BMC Cancer20141451DOI: 10.1186/1471-2407-14-51
GohJNLooSYDattaASiveenKSYapWNCaiWShinEMWangCKimJEChanMDharmarajanAMLeeAS-GLobiePEYapCTKumarAPmicroRNAs in breast cancer: regulatory roles governing the hallmarks of cancer. Biol Rev201691409428DOI: 10.1111/brv.12176
TaipaleenmäkiHFarinaNHWijnenAJ vanSteinJLHesseESteinGSLianJBAntagonizing miR-218-5p attenuates Wnt signaling and reduces metastatic bone disease of triple negative breast cancer cells. Oncotarget20167DOI: 10.18632/oncotarget.12593
Garcia A Notch JJ Kandel a key regulator of tumor angiogenesis and metastasis. Histol Histopathol 2012 27 151 156
LiuHZhangWKennardSCaldwellRBLillyBNotch3 is critical for proper angiogenesis and mural cell investment. Circ Res2010107860870DOI: 10.1161/CIRCRESAHA.110.218271
KontomanolisENKalagasidouSPouliliouSAnthoulakiXGeorgiouNPapamanolisVFasoulakisZNThe Notch Pathway in Breast Cancer Progression. ScientificWorldJournal201820182415489DOI: 10.1155/2018/2415489
AcarASimõesBMClarkeRBBrennanKA Role for Notch Signalling in Breast Cancer and Endocrine Resistance. Hindawi Publ Corp201620166DOI: 10.1155/2016/2498764
DiévartABeaulieuNJolicoeurPInvolvement of Notch1 in the development of mouse mammary tumors. Oncogene19991859735981DOI: 10.1038/sj.onc.1202991
ReedijkMOdorcicSChangLZhangHMillerNMcCreadyDRLockwoodGEganSEHigh-level Coexpression of JAG1 and NOTCH1 Is Observed in Human Breast Cancer and Is Associated with Poor Overall Survival. Cancer Res 65, 8530 LP -20058537DOI: 10.1158/0008-5472. CAN-05-1069
LeongKGNiessenKKulicIRaoufAEavesCPolletIKarsanAJagged1-mediated Notch activation induces epithelial-to-mesenchymal transition through Slug-induced repression of E-cadherin. J Exp Med200720429352948DOI: 10.1084/jem.20071082
SahlgrenCGustafssonM VJinSPoellingerLLendahlUNotch signaling mediates hypoxia-induced tumor cell migration and invasion. Proc Natl Acad Sci U S A200810563926397DOI: 10.1073/pnas.0802047105
WangZLiYKongDSarkarFHThe role of Notch signaling pathway in epithelial-mesenchymal transition (EMT) during development and tumor aggressiveness. Curr Drug Targets201011745751DOI: 10.2174/138945010791170860
NUSSERWnt signaling in disease and in development. Cell Res2005152832DOI: 10.1038/
MajidiniaMDarbandSGKavianiMNabaviSMJahanban-EsfahlanRYousefiBCross-regulation between Notch signaling pathway and miRNA machinery in cancer. DNA Repair (Amst) 66-2018673041DOI: 10.1016/j.dnarep.2018.04.002
NicoliSKnyphausenC-PZhuLJLakshmananALawsonNDmiR-221 is required for endothelial tip cell behaviors during vascular development. Dev Cell201222418429DOI: 10.1016/j.devcel.2012.01.008
ShuiYYuXDuanRBaoQWuJYuanHMaCmiR-130b-3p inhibits cell invasion and migration by targeting the Notch ligand Delta-like 1 in breast carcinoma. Gene20176098087DOI: 10.1016/j.gene.2017.01.036
BrabletzSBajdakKMeidhofSBurkUNiedermannGFiratEWellnerUDimmlerAFallerGSchubertJBrabletzTThe ZEB1/miR-200 feedback loop controls Notch signalling in cancer cells. EMBO J201130770782DOI: 10.1038/emboj.2010.349
LiXJiMZhongSZhaQXuJZhaoJTangJMicroRNA-34a Modulates Chemosensitivity of Breast Cancer Cells to Adriamycin by Targeting Notch1. Arch Med Res201243514521DOI: 10.1016/j.arcmed.2012.09.007
Grego-BessaJDíezJPompaJL de la Notch and Epithelial-Mesenchyme Transition in Development and Tumor Progression: Another Turn of the Screw. Cell Cycle20043716719DOI: 10.4161/cc.3.6.949
ProkopiMKousparouCAEpenetosAAThe Secret Role of microRNAs in Cancer Stem Cell Development and Potential Therapy: A Notch-Pathway Approach ,,2015DOI: 10.3389/fonc.2014.00389
GarziaLAndolfoICusanelliEMarinoNPetrosinoGMartinoD DeEspositoVGaleoneANavasLEspositoSGargiuloSFattetSDonofrioVCinalliGBrunettiAVecchioL DelNorthcottPADelattreOTaylorMDIolasconAZolloMMicroRNA-199b-5p Impairs Cancer Stem Cells through Negative Regulation of HES1 in Medulloblastoma. PLoS One20094e4998DOI: 10.1371/journal.pone.0004998
WangZLiYAhmadAAzmiASBanerjeeSKongDSarkarFHTargeting Notch signaling pathway to overcome drug resistance for cancer therapy. Biochim Biophys Acta - Rev Cancer20101806258267DOI: 10.1016/j.bbcan.2010.06.001
YuanXWuHXuHXiongHChuQYuSWuGSWuKNotch signaling: An emerging therapeutic target for cancer treatment. Cancer Lett20153692027DOI: 10.1016/j.canlet.2015.07.048
JiangJHuiC-CHedgehog signaling in development and cancer. Dev Cell200815801812DOI: 10.1016/j.devcel.2008.11.010
KasperMJaksVFiaschiMToftgårdRHedgehog signalling in breast cancer. Carcinogenesis200930903911DOI: 10.1093/carcin/bgp048
GuptaSTakebeNLorussoPTargeting the Hedgehog pathway in cancer. Ther Adv Med Oncol20102237250DOI: 10.1177/1758834010366430
HannaAShevdeLAHedgehog signaling: modulation of cancer properies and tumor mircroenvironment. Mol Cancer20161524DOI: 10.1186/s12943-016-0509-3
WangFMaLZhangZLiuXGaoHZhuangYYangPKornmannMTianXYangYHedgehog Signaling Regulates Epithelial-Mesenchymal Transition in Pancreatic Cancer Stem-Like Cells. J Cancer20167408417DOI: 10.7150/jca.13305
AltabaA Ruiz i Therapeutic Inhibition of Hedgehog-GLI Signaling in Cancer: Epithelial, Stromal, or Stem Cell Targets? Cancer Cell200814281283DOI: 10.1016/j.ccr.2008.09.007
GuenVJChavarriaTEKrögerCYeXWeinbergRALeesJAEMT programs promote basal mammary stem cell and tumor-initiating cell stemness by inducing primary ciliogenesis and Hedgehog signaling. Proc Natl Acad Sci 114, E10532 LP-2017E10539DOI: 10.1073/pnas.1711534114
ColavitoSAZouMRYanQNguyenDXSternDFSignificance of glioma-associated oncogene homolog 1 (GLI1) expression in claudin-low breast cancer and crosstalk with the nuclear factor kappa-light-chain-enhancer of activated B cells (NFκB) pathway. Breast Cancer Res201416444DOI: 10.1186/s13058-014-0444-4
DasSSamantRSShevdeLANonclassical activation of Hedgehog signaling enhances multidrug resistance and makes cancer cells refractory to Smoothened-targeting Hedgehog inhibition. J Biol Chem20132881182411833DOI: 10.1074/jbc. M112.432302
LeiJFanLWeiGChenXDuanWXuQShengWWangKLiXGli-1 is crucial for hypoxia-induced epithelial-mesenchymal transition and invasion of breast cancer. Tumor Biol20153631193126DOI: 10.1007/s13277-014-2948-z
LiuXZhaoTBaiXLiMRenJWangMXuRZhangSLiHHuYXieLZhangYYangLYanCZhangYLOC101930370/MiR-1471 Axis Modulates the Hedgehog Signaling Pathway in Breast Cancer. Cell Physiol Biochem20184811391150DOI: 10.1159/000491980
MaCNongKWuBDongBBaiYZhuHWangWHuangXYuanZAiKmiR-212 promotes pancreatic cancer cell growth and invasion by targeting the hedgehog signaling pathway receptor patched-1. J Exp Clin Cancer Res20143354DOI: 10.1186/1756-9966-33-54
WangSLuSGengSMaSLiangZJiaoBExpression and clinical significance of microRNA-326 in human glioma miR-326 expression in glioma. Med Oncol201330373DOI: 10.1007/s12032-012-0373-y
XuLLiuHYanZSunZLuoSLuQInhibition of the Hedgehog signaling pathway suppresses cell proliferation by regulating the Gli2 / miR-124 / AURKA axis in human glioma cells. Int J Oncol20175018681878DOI: 10.3892/ijo.2017.3946
Wang Y He J Wang Y Yu H MicroRNA-138 suppresses cell proliferation , migration and invasion by targeting smoothened ( SMO ) in hepatocellular carcinoma. Int J Clin Exp Med 2017 10 13281 13289
CatalanottoCCogoniCZardoGMicroRNA in Control of Gene Expression: An Overview of Nuclear Functions. Int J Mol Sci2016171712DOI: 10.3390/ijms17101712
KimJYaoFXiaoZSunYMaLMicroRNAs and metastasis: small RNAs play big roles. Cancer Metastasis Rev201837515DOI: 10.1007/s10555-017-9712-y
Esquela-KerscherASlackFJOncomirs - microRNAs with a role in cancer. Nat Rev Cancer20066259DOI: 10.1038/nrc1840
MicrornasXM DingRegulators of cancer metastasis and epithelialmesenchymal transition (EMT). Chin J Cancer201433140147DOI: 10.5732/cjc.013.10094
BaffaRFassanMVoliniaSHaraBOLiuCPalazzoJPGardimanMRuggeMGomellaLGCroceCMRosenbergAMicroRNA expression profiling of human metastatic cancers identifies cancer gene targets.2009214221DOI: 10.1002/path.2586
LeeYSDuttaAMicroRNAs in cancer. Annu Rev Pathol20094199227DOI: 10.1146/annurev.pathol.4.110807.092222
MaLYoungJPrabhalaHPanEMestdaghPMuthDTeruya-FeldsteinJReinhardtFOnderTTValastyanSWestermannFSpelemanFVandesompeleJWeinbergRAMiR-9, a MYC/MYCN-activated microRNA, regulates E-cadherin and cancer metastasis. Nat Cell Biol201012247256DOI: 10.1038/ncb2024
GebeshuberCAZatloukalKMartinezJmiR-29a suppresses tristetraprolin, which is a regulator of epithelial polarity and metastasis. EMBO Rep200910400405DOI: 10.1038/embor.2009.9
MaLTeruya-FeldsteinJWeinbergRATumour invasion and metastasis initiated by microRNA-10b in breast cancer. Nature2007449682688DOI: 10.1038/nature06174
SchrijverWAMEDiestPJ vanConsortiumDutch Distant Breast Cancer MetastasesMoelansCB Unravelling site-specific breast cancer metastasis: a microRNA expression profiling study. Oncotarget2017831113123DOI: 10.18632/oncotarget.13623
YanLHuangXShaoQHuangMDengLMicroRNA miR-21 overexpression in human breast cancer is associated with advanced clinical stage , lymph node metastasis and patient poor prognosis.200823482360DOI: 10.1261/rna.1034808
MuLYuÆHHigh miR-21 expression in breast cancer associated with poor disease-free survival in early stage disease and high TGF- b 1.2009131140DOI: 10.1007/s10549-008-0219-7
ChenJWangBClinical Significance of MicoRNA-155 Expression in Human Breast Cancer Patients and Tissue Samples.2012260266DOI: 10.1002/jso.22153
SochorMBasovaPPestaMDusilkovaNBartosJBurdaPPospisilVmicroRNAsT Stopka: OncogenicmiR-155, miR-19a, miR-181b, and miR-24 enable monitoring of early breast cancer in serum. BMC Cancer20141417DOI: 10.1186/1471-2407-14-448
AsagaSKuoCNguyenTTerpenningMGiulianoAEHoonDSBDirect serum assay for microRNA-21 concentrations in early and advanced breast cancer. Clin Chem2011578491DOI: 10.1373/clinchem.2010.151845
ConnollyECDoorslaerK VanRoglerLERoglerCEOverexpression of miR-21 Promotes anIn vitro Metastatic Phenotype by Targeting the Tumor Suppressor RHOB. Mol Cancer Res20108691700DOI: 10.1158/1541-7786. MCR-09-0465
ZhengRPanLGaoJYeXChenLZhangXTangWZhengWPrognostic value of miR-106b expression in breast cancer patients. J Surg Res2015195158165DOI: 10.1016/j.jss.2014.12.035
HuangQGumireddyKSchrierMSageCNagelRNairSEganDALiAHuangGKlein-szantoAJGimottyPACoukosGZhangLPuréEAgamiRThe microRNAs miR-373 and miR-520c promote tumour invasion and metastasis.200810DOI: 10.1038/ncb1681
WangHPengRWangJQinZXueLCirculating microRNAs as potential cancer biomarkers: the advantage and disadvantage. Clin Epigenetics20181059DOI: 10.1186/s13148-018-0492-1
HamamRHamamDAlsalehKAKassemMZaherWAlfayezMAldahmashAAlajezNMCirculating microRNAs in breast cancer: novel diagnostic and prognostic biomarkers. Cell Death Dis20178e3045e3045DOI: 10.1038/cddis.2017.440
WuQWangCLuZGuoLGeQAnalysis of serum genome-wide microRNAs for breast cancer detection. Clin Chim Acta201241310581065DOI: 10.1016/j.cca.2012.02.016
FM-AAM-R JIM-SKE-S PKS-F SPR-FCR-PD.R-PSerum circulating microRNA profiling for identification of potential breast cancer biomarkers. Dis Markers201334163169DOI: 10.1155/2013/259454
ChanMLiawCSJiSMTanHHWongCYThikeAATanPHHoGHLeeASGIdentification of circulating microRNA signatures for breast cancer detection. Clin Cancer Res20131944774487DOI: 10.1158/1078-0432. CCR-12-3401
MadhavanDZucknickMWallwienerMCukKModugnoCScharpffMSchottSHeilJTurchinovichAYangRBennerARiethdorfSTrumppASohnCPantelKSchneeweissABurwinkelBCirculating miRNAs as surrogate markers for circulating tumor cells and prognostic markers in metastatic breast cancer. Clin Cancer Res20121859725982DOI: 10.1158/1078-0432. CCR-12-1407
SahlbergKKBottaiGNaumeBBurwinkelBCalinGABørresen-DaleALSantarpiaLA serum MicroRNA signature predicts tumor relapse and survival in triple-negative breast cancer patients. Clin Cancer Res20152112071214DOI: 10.1158/1078-0432. CCR-14-2011
GregoryPABertAGPatersonELBarrySCTsykinAFarshidGVadasMAKhew-GoodallYGoodallGJThe miR-200 family and miR-205 regulate epithelial to mesenchymal transition by targeting ZEB1 and SIP1. Nat Cell Biol200810593601DOI: 10.1038/ncb1722
CochraneDRHoweENSpoelstraNSRicherJKLoss of miR-200c: A Marker of Aggressiveness and Chemoresistance in Female Reproductive Cancers. J Oncol20102010112DOI: 10.1155/2010/821717 DOI: 10.1155/2010/307460
TavazoieSFAlarcónCOskarssonTPaduaDWangQBosPDGeraldWLMassaguéJEndogenous human microRNAs that suppress breast cancer metastasis. Nature2008451147152DOI: 10.1038/nature06487
LujambioACalinGAVillanuevaARoperoSBlancoDMontuengaLMRossiSNicolosoMSFallerWJGallagherWMEcclesSACroceCMEstellerM PNAS-2008-Lujambio-13556-61.20081056DOI: 10.1073/pnas.0803055105
YuFJiaoYZhuYWangYZhuJCuiXLiuYHeYParkEYZhangHLvXMaKSuFParkJHSongEMicroRNA 34c gene down-regulation via DNA methylation promotes self-renewal and epithelial-mesenchymal transition in breast tumor-initiating cells. J Biol Chem2012287465473DOI: 10.1074/jbc. M111.280768
KimNHKimHSLiXYLeeIChoiHSKangSEChaSYRyuJKYoonDFearonERRoweRGLeeSMaherCAWeissSJYookJIA p53/miRNA-34 axis regulates Snail1-dependent cancer cell epithelial-mesenchymal transition. J Cell Biol2011195417433DOI: 10.1083/jcb.201103097
Li G Yao L Zhang J Li X Dang S Tumor-suppressive microRNA-34a inhibits breast cancer cell migration and invasion via targeting oncogenic TPD52. 2015
XieFHosanySZhongSJiangYZhangFLinLWangXGaoSHuXMicroRNA-193a inhibits breast cancer proliferation and metastasis by downregulating WT1. PLoS One201712e0185565DOI: 10.1371/journal.pone.0185565
ZhangCZhangYDingWLinYHuangZLuoQMiR-33a suppresses breast cancer cell proliferation and metastasis by targeting ADAM9 and ROS1. Protein Cell20156881889DOI: 10.1007/s13238-015-0223-8
WangCCHChuCCHMicroRNA-30a inhibits cell migration and invasion by downregulating vimentin expression and is a potential prognostic marker in breast cancer.201210811093DOI: 10.1007/s10549-012-2034-4
ZhangJLiuDFengZMaoJZhangCLuYLiJZhangQLiQLiLMicroRNA-138 modulates metastasis and EMT in breast cancer cells by targeting vimentin. Biomed Pharmacother201677135141DOI: 10.1016/j.biopha.2015.12.018
MohrCKooCStockCVaskeAViolaMIbrahimSAPeddibhotlaSTengYLowJEbnetKKieselLYipGWmiR-145-dependent targeting of Junctional Adhesion Molecule A and modulation of fascin expression are associated with reduced breast cancer cell motility and invasiveness M Go.201065696580DOI: 10.1038/onc.2010.386
XuXZhangYJasperJLykkenEAlexanderPBMarkowitzGJMcDonnellDPLiQ-JWangX-FMiR-148a functions to suppress metastasis and serves as a prognostic indicator in triple-negative breast cancer. Oncotarget201672038120394DOI: 10.18632/oncotarget.7953
ChanSHuangWChangJChangKKuoWWangMLinKUenYHouMLinCJangTMicroRNA-149 targets GIT1 to suppress integrin signaling and breast cancer metastasis.201444964507DOI: 10.1038/onc.2014.10
LiSQWangZHMiXGLiuLTanYMiR-199a/b-3p suppresses migration and invasion of breast cancer cells by downregulating PAK4/MEK/ERK signaling pathway. IUBMB Life201567768777DOI: 10.1002/iub.1433
ThammaiahCKJayaramSRole of let-7 family microRNA in breast cancer. Non-coding RNA Res201617782DOI: 10.1016/j.ncrna.2016.10.003
YuZWillmarthNEZhouJKatiyarSWangMLiuYMcCuePAQuongAALisantiMPPestellRGmicroRNA 17/20 inhibits cellular invasion and tumor metastasis in breast cancer by heterotypic signaling. Proc Natl Acad Sci201010782318236DOI: 10.1073/pnas.1002080107
LiQQChenZQCaoXXXuJDXuJWChenYYWangWJChenQTangFLiuXPXuZDInvolvement of NF-κB/miR-448 regulatory feedback loop in chemotherapy-induced epithelial-mesenchymal transition of breast cancer cells. Cell Death Differ2011181625DOI: 10.1038/cdd.2010.103
ZhangYWangZGemeinhartRAProgress in microRNA delivery. J Control Release2013172962974DOI: 10.1016/j.jconrel.2013.09.015
ChangSWangRAkagiKKimKMartinBKCavalloneLHainesDCBasikMMaiPPoggiEIsaacsCLooiLMMunKSGreeneMHByersSWTeoSHDengCSharanSKTumor suppressor BRCA1 epigenetically controls oncogenic microRNA-155.201117DOI: 10.1038/nm1111-1521a
FinlayJRobertsCMDongJZinkJITamanoiFGlackinCAMesoporous silica nanoparticle delivery of chemically modified siRNA against TWIST1 leads to reduced tumor burden. Nanomedicine20151116571666DOI: 10.1016/j.nano.2015.05.011
WagnerMJMitraRMcArthurMJBazeWBarnhartKWuSYRodriguez-AguayoCZhangXColemanRLLopez-BeresteinGSoodAKPreclinical Mammalian Safety Studies of EPHARNA (DOPC Nanoliposomal EphA2-Targeted siRNA). Mol Cancer Ther20171611141123DOI: 10.1158/1535-7163. MCT-16-0541
LamouilleSXuJDerynckRMolecular mechanisms of epithelial-mesenchymal transition. Nat Rev Mol Cell Biol201415178196DOI: 10.1038/nrm3758
MaltoniRGalleraniGFiciPRoccaAFabbriFCTCs in early breast cancer : A path worth taking. Cancer Lett2016376205210DOI: 10.1016/j.canlet.2016.03.051
LiuMCShieldsPGWarrenRDCohenPWilkinsonMOttavianoYLRaoSBEng-WongJSeillier-MoiseiwitschFNooneA-MCellsC Isaacs: Circulating TumorA Useful Predictor of Treatment Efficacy in Metastatic Breast Cancer. J Clin Oncol20092751535159DOI: 10.1200/JCO.2008.20.6664
Dalum G van Holland L Terstappen LW Metastasis and Circulating Tumor Cells. EJIFCC 2012 23 87 97
Alunni-fabbroniMTeresaMCirculating tumour cells in clinical practice : Methods of detection and possible characterization. Methods201050289297DOI: 10.1016/j.ymeth.2010.01.027
RostamiPKashaninejadNMoshksayanKSaidiMSFiroozabadiBNguyenN-TNovel approaches in cancer management with circulating tumor cell clusters. J Sci Adv Mater Devices20194118DOI: 10.1016/j.jsamd.2019.01.006
YanW-TCuiXChenQLiY-FCuiY-HWangYJiangJCirculating tumor cell status monitors the treatment responses in breast cancer patients: a meta-analysis. Sci Rep2017743464DOI: 10.1038/srep43464
TanWLiangGXieXJiangWTanLSandersAJLiuZLingYZhongWTianZLinWGongCIncorporating MicroRNA into Molecular Phenotypes of Circulating Tumor Cells Enhances the Prognostic Accuracy for Patients with Metastatic Breast Cancer. Oncol2019DOI: 10.1634/theoncologist.2018-0697
GreeneBTHughesADKingMRCirculating tumor cells: the substrate of personalized medicine? Front Oncol2012269DOI: 10.3389/fonc.2012.00069
BalicMLinHenryWilliamsADatarRHCoteRichard JProgress in circulating tumor cell capture and analysis: implications for cancer management. Expert Rev Mol Diagn201312303312DOI: 10.1586/erm.12.12
ErogluZFielderOSomloGAnalysis of Circulating Tumor Cells in Breast Cancer. J Natl Compr Cancer Netw201311977985DOI: 10.6004/jnccn.2013.0118
GertlerRRosenbergRFuehrerKDahmMNekardaHSiewertJRDetection of Circulating Tumor Cells in Blood Using an Optimized Density Gradient Centrifugation BT - Molecular Staging of Cancer. In: Molecular Staging of Cancer. Recent Results in Cancer Research,. H Allgayer, MM Heiss, FW Schildberg, eds. , Springer Berlin Heidelberg, Berlin, Heidelberg2003DOI: 10.1007/978-3-642-59349-9_13
Saucedo-zeni N Mewes S Niestroj R Gasiorowski L Murawa D Nowaczyk P Tomasi T Weber E Dworacki G Morgenthaler NG Jansen H Propping C Sterzynska K Dyszkiewicz W Zabel M Kiechle M Reuning UTE Schmitt M Lücke K A novel method for the in vivo isolation of circulating tumor cells from peripheral blood of cancer patients using a functionalized and structured medical wire. Int J Oncol 2012 41 1241 1250
CasavantBPMosherRWarrickJWMaccouxLJScottMFBeckerJTChenVLangJMcneelDDavidJA negative selection methodology using a microfluidic platform for the isolation and enumeration of circulating tumor cells. Methods201464115DOI: 10.1016/j.ymeth.2013.05.027
LinHK3D microfilter device for viable circulating tumor cell (CTC) enrichment from blood. Biomed Microdevices201113122DOI: 10.1007/s10544-010-9485-3
Banys-paluchowskiMKrawczykNMeier-stiegenFCritical Reviews in Oncology / Hematology Circulating tumor cells in breast cancer - current status and perspectives. Crit Rev Oncol Hematol2016972229DOI: 10.1016/j.critrevonc.2015.10.010
RiethdorfSFritscheHMüllerVRauTSchindlbeckCRackBJanniWCoithCBeckKJänickeFJacksonSGornetTCristofanilliMPantelKDetection of Circulating Tumor Cells in Peripheral Blood of Patients with Metastatic Breast Cancer: A Validation Study of the CellSearch System. Clin Cancer Res 13, 920 LP -2007928DOI: 10.1158/1078-0432. CCR-06-1695
BidardFCProudhonCPiergaJYCirculating tumor cells in breast cancer. Mol Oncol201610418430DOI: 10.1016/j.molonc.2016.01.001
BrychtaNDroschMDriemelCFischerJCNevesRPEspositoIKnoefelWMöhlendickBHilleCStresemannAKrahnTKassackMUStoeckleinNHAhsenO vonIsolation of circulating tumor cells from pancreatic cancer by automated filtration. Oncotarget201788614386156DOI: 10.18632/oncotarget.21026
GwakHKimJKashefi-kheyrabadiLKwakBHyunKJungHProgress in Circulating Tumor Cell Research Using Microfluidic Devices. Micromachines20189353374DOI: 10.3390/mi9070353
BrychtaNDroschMDriemelCFischerJCNevesRPEspositoIKnoefelWMöhlendickBHilleCStresemannAKrahnTKassackMUStoeckleinNHAhsenO vonIsolation of circulating tumor cells from pancreatic cancer by automated filtration. Oncotarget201788614386156DOI: 10.18632/oncotarget.21026
Marrugo-RamírezJMirMSamitierJBlood-Based Cancer Biomarkers in Liquid Biopsy: A Promising Non-Invasive Alternative to Tissue Biopsy. Int J Mol Sci2018192877DOI: 10.3390/ijms19102877
MarkouAZavridouMSourvinouIYousefGKounelisSMalamosNGeorgouliasVLianidouEDirect Comparison of Metastasis-Related miRNAs Expression Levels in Circulating Tumor Cells, Corresponding Plasma, and Primary Tumors of Breast Cancer Patients. Clin Chem 62, 1002 LP -20161011DOI: 10.1373/clinchem.2015.253716
RiethdorfSDetection of microRNAs in circulating tumor cells. Transl Cancer Res20187197208DOI: 10.21037/tcr.2017.10.24
LeMTNHamarPGuoCBasarEPerdigão-HenriquesRBalajLLiebermanJmiR-200-containing extracellular vesicles promote breast cancer cell metastasis. J Clin Invest201412451095128DOI: 10.1172/JCI75695
ShaoYGengYGuWHuangJPeiHJiangJPrognostic Role of Tissue and Circulating MicroRNA-200c in Malignant Tumors: a Systematic Review and Meta-Analysis. Cell Physiol Biochem20153511881200DOI: 10.1159/000373943
MengXMüllerVMilde-LangoschKTrillschFPantelKSchwarzenbachHCirculating Cell-Free miR-373, miR-200a, miR-200b and miR-200c in Patients with Epithelial Ovarian Cancer BT - Circulating Nucleic Acids in Serum and Plasma - CNAPS IX. In: PB Gahan, M Fleischhacker, B Schmidt, eds. , Springer International Publishing, Cham2016DOI: 10.1007/978-3-319-42044-8_1
MadhavanDPengCWallwienerMZucknickMNeesJSchottSRudolphARiethdorfSTrumppAPantelKSohnCChang-ClaudeJSchneeweissABurwinkelBCirculating miRNAs with prognostic value in metastatic breast cancer and for early detection of metastasis. Carcinogenesis201637461470DOI: 10.1093/carcin/bgw008
SieuwertsAMMostertBVriesJ Bolt-dePeetersDJonghFE deStouthardJMLDirixLYDamPA vanGalenA VanWeerdV deKraanJSpoelP van derRamírez-MorenoRDeurzenCHM vanSmidMYuJXJiangJWangYGratamaJWSleijferSFoekensJAMartensJWMmRNA and microRNA Expression Profiles in Circulating Tumor Cells and Primary Tumors of Metastatic Breast Cancer Patients. Clin Cancer Res 17, 3600 LP -20113618DOI: 10.1158/1078-0432. CCR-11-0255
LeongSMTanKM-LChuaHWHuangM-CCheongWCLiM-HTuckerSKoayES-CPaper-Based MicroRNA Expression Profiling from Plasma and Circulating Tumor Cells. Clin Chem 63, 731 LP -2017741DOI: 10.1373/clinchem.2016.264432
StopeckAMateraJPhRMillerMCReubenJMPhDDoyleG VAllardWJPhDTerstappenLWMMPhDHayesDFCirculating Tumor Cells, Disease Progression, and Survival in Metastatic Breast Cancer.2004781791DOI: 10.1056/NEJMoa040766
HarrisLFritscheHMennelRNortonLRavdinPTaubeSSomerfieldMRHayesDFBastRCAmerican Society of Clinical Oncology 2007 Update of Recommendations for the Use of Tumor Markers in Breast Cancer. J Clin Oncol20072552875312DOI: 10.1200/JCO.2007.14.2364
StathopoulouAVlachonikolisIMavroudisDPerrakiMKouroussisCApostolakiSMalamosNKakolyrisSKotsakisAXenidisNReppaDGeorgouliasVMolecular Detection of Cytokeratin-19-Positive Cells in the Peripheral Blood of Patients With Operable Breast Cancer: Evaluation of Their Prognostic Significance. J Clin Oncol20022034043412DOI: 10.1200/JCO.2002.08.135
JoosseSAHannemannJSpötterJBaucheAAndreasAMüllerVPantelKChanges in Keratin Expression during Metastatic Progression of Breast Cancer: Impact on the Detection of Circulating Tumor Cells. Clin Cancer Res 18, 993 LP -20121003DOI: 10.1158/1078-0432. CCR-11-2100
BidardF-CHajageDBachelotTDelalogeSBrainECamponeMCottuPBeuzebocPRollandEMathiotCPiergaJ-YAssessment of circulating tumor cells and serum markers for progression-free survival prediction in metastatic breast cancer: a prospective observational study. Breast Cancer Res201214R29R29DOI: 10.1186/bcr3114
ErogluZFielderOSomloGAnalysis of circulating tumor cells in breast cancer. J Natl Compr Canc Netw201311977985DOI: 10.6004/jnccn.2013.0118
PunnooseEAAtwalSKSpoerkeJMSavageHPanditaAYehR-FPirzkallAFineBMAmlerLCChenDSLacknerMRMolecular biomarker analyses using circulating tumor cells. PLoS One20105e12517e12517DOI: 10.1371/journal.pone.0012517
FrithiofHAaltonenKRydénLA FISH-based method for assessment of HER-2 amplification status in breast cancer circulating tumor cells following CellSearch isolation. Onco Targets Ther2016970957103DOI: 10.2147/OTT. S118502
FehmTMüllerVAktasBJanniWSchneeweissAStickelerELattrichCLöhbergCRSolomayerERackBRiethdorfSKleinCSchindlbeckCBrockerKKasimir-BauerSWallwienerDPantelKHER2 status of circulating tumor cells in patients with metastatic breast cancer: a prospective, multicenter trial. Breast Cancer Res Treat2010124403412DOI: 10.1007/s10549-010-1163-x
AktasBMüllerVTewesMZeitzJKasimir-BauerSLoehbergCRRackBSchneeweissAFehmTComparison of estrogen and progesterone receptor status of circulating tumor cells and the primary tumor in metastatic breast cancer patients. Gynecol Oncol2011122356360DOI: 10.1016/j.ygyno.2011.04.039
GravesHCzernieckiBJCirculating Tumor Cells in Breast Cancer Patients : An Evolving Role in Patient Prognosis and Disease Progression. Patholog Res Int201120117DOI: 10.4061/2011/621090
EllsworthREBlackburnHLShriverCDSoon-shiongPEllsworthDLSeminars in Cell & Developmental Biology Molecular heterogeneity in breast cancer : State of the science and implications for patient care. Semin Cell Dev Biol2017646572DOI: 10.1016/j.semcdb.2016.08.025
JaegerBASNeugebauerJAndergassenUMelcherCSchochterFMouarrawyDZiemendorffGClemensMAbelE VHeinrichGSchuellerKSchneeweissAFaschingPBeckmannMWScholzCFriedlTWPFrieseKPantelKFehmTJanniWRackBThe HER2 phenotype of circulating tumor cells in HER2-positive early breast cancer: A translational research project of a prospective randomized phase III trial. PLoS One201712e0173593e0173593DOI: 10.1371/journal.pone.0173593
WallwienerMHartkopfADBaccelliIRiethdorfSSchottSPantelKMarméFSohnCTrumppARackBAktasBSolomayerE-FMüllerVJanniWSchneeweissAFehmTNThe prognostic impact of circulating tumor cells in subtypes of metastatic breast cancer. Breast Cancer Res Treat2013137503510DOI: 10.1007/s10549-012-2382-0
AzimHARothéFAuraCMBavingtonMMaetensMRouasGGebhartGGamezCEidtmannHBaselgaJPiccart-GebhartMEllisCVuylstekePCureHDomontJFerroAToral-PeñaJCAzambujaE deSotiriouCCosimoS DiIgnatiadisMCirculating tumor cells and response to neoadjuvant paclitaxel and HER2-targeted therapy: A sub-study from the NeoALTTO phase III trial. The Breast20132210601065DOI: 10.1016/j.breast.2013.08.014
JaegerBASRackBKNeugebauerJKAndergassenUMelcherCAMouarrawyDZiemendorffGClemensMAbelE vonHeinrichGSchuellerKSchneeweissALichteneggerWBeckmannMWPantelKSommerHLFrieseKJanniWHER2 expression on circulating tumor cells (CTC) in patients with early HER2-positive breast cancer: Results of the German SUCCESS B trial. J Clin Oncol20123010540DOI: 10.1158/0008-5472. SABCS12-P2-01-02
SmerageJBBarlowWEHortobagyiGNWinerEPLeyland-JonesBSrkalovicGTejwaniSSchottAFO'RourkeMALewDLDoyleG VGralowJRLivingstonRBHayesDFCirculating tumor cells and response to chemotherapy in metastatic breast cancer: SWOG S0500. J Clin Oncol20143234833489DOI: 10.1200/JCO.2014.56.2561
BidardF-CFehmTIgnatiadisMSmerageJBAlix-PanabièresCJanniWMessinaCPaolettiCMüllerVHayesDFPiccartMPiergaJ-YClinical application of circulating tumor cells in breast cancer: overview of the current interventional trials. Cancer Metastasis Rev201332179188DOI: 10.1007/s10555-012-9398-0
BauerECASchochterFWidschwendterPDeGregorioAAndergassenUFriedlTWPFaschingPAFehmTSchneeweissABeckmannMWPantelKJanniWRackBScholzCGroupthe SS Prevalence of circulating tumor cells in early breast cancer patients 2 and 5 years after adjuvant treatment. Breast Cancer Res Treat2018171571580DOI: 10.1007/s10549-018-4856-1
BredemeierMEdimirisPMachPKubistaMSjöbackRRohlovaEKolostovaKHauchSAktasBTewesMKimmigRGene Expression Signatures in Circulating Tumor Cells Correlate with Response to Therapy in Metastatic Breast Cancer. Cinical Chem2017159315851593DOI: 10.1373/clinchem.2016.269605
LiYHuangRWangLHaoJZhangQLingRYunJmicroRNA-762 promotes breast cancer cell proliferation and invasion by targeting IRF7 expression. Cell Prolif201548643649DOI: 10.1111/cpr.12223
PatersonELKolesnikoffNGregoryPABertAGKhew-goodallYGoodallGJThe microRNA-200 Family Regulates Epithelial to Mesenchymal Transition. ScientificWorldJournal2008901904DOI: 10.1100/tsw.2008.115
FrankelLBChristoffersenNRJacobsenALindowMKroghALundAHProgrammed Cell Death 4 ( PDCD4 ) Is an Important Functional Target of the MicroRNA miR-21 in Breast Cancer Cells. J Biol Chem200828310261033DOI: 10.1074/jbc. M707224200
Publisher’s Note: IMR Press stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Back to top