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Abstract

Background: The importance of N6-methyladenosine (m6A) modification in tumorigenesis and progression have been highlighted. This study aimed to investigate the modification of insulin receptor substrate 1 (IRS1) by m6A and its role in oral squamous cell carcinoma (OSCC). Methods: Bioinformatics was employed to predict differential genes related to epithelial-mesenchymal transition (EMT) in OSCC. Seventeen pairs of OSCC and paracancerous tissue samples were collected. The impact of IRS1 on OSCC cell growth and EMT was evaluated. The fluctuations in IRS1 enrichment and the involvement of p53/Line-1 were investigated. Results: IRS1 was highly expressed in OSCC. IRS1 silencing decreased OSCC cell proliferation and increased apoptosis. IRS1 silencing hindered EMT by regulating related markers. IRS1 silencing upregulated p53 and downregulated Line-1 ORF1p. The p53 inhibition reversed the effects of IRS1 silencing and induced EMT in OSCC cells. Furthermore, the m6A modification of IRS1 was increased in OSCC cells. IRS1 were positively regulated by the m6A regulators methyltransferase-like 14 (METTL14) and YTH domain-containing protein 1 (YTHDC1). IRS1 bound to YTHDC1, and YTHDC1 knockdown inhibited the IRS1 nuclear export. The obesity-associated protein (FTO) negatively regulated IRS1, and FTO overexpression reversed the IRS1-induced OSCC tumor growth. Conclusions: m6A methylation-mediated IRS1 regulated EMT in OSCC through p53/Line-1. These findings provide potential therapeutic strategies for managing OSCC.

1. Introduction

Oral squamous cell carcinoma (OSCC) is the most prevalent malignant tumor of the head and neck. It accounts for over 90% of all oral malignancies [1]. Around 377,713 cases of lip and oral cancer have been diagnosed in 2020 with mortality rates of over 40%. Its incidence is projected to increase [2, 3]. The improvements in patient prognosis and survival remain limited despite advances in the diagnosis and treatment of OSCC [4, 5]. Proliferation, invasion, and metastasis are the predominant factors of mortalities caused by OSCC [6]. Epithelial-to-mesenchymal transition (EMT) is the critical mechanism of cancer development. EMT in OSCC is responsible for local recurrence and lymph node metastasis [7]. Previous studies have revealed that restoring EMT of OSCC cells can reduce lymph node metastasis and improve the overall survival [8]. Therefore, EMT may be a promising therapeutic strategy for OSCC.

Studies have depicted that p53, as a tumor suppressor, regulates apoptosis, cell cycle arrest, senescence, and metabolic homeostasis in cancer cells [9]. Recent studies have highlighted the role of p53 in EMT. Wild type (WT) 53 inhibits EMT and maintains the epithelial cell phenotype [10]. Other studies have revealed that p53 overexpression reverses the enhanced impact of ubiquitin-conjugating enzyme E2C (UBE2C) on cancer cell proliferation and EMT [11]. Downregulation of p53 promotes EMT and tumorigenesis [12]. EMT-inducing factors bind and inhibit WT p53 [13]. Line-1 elements are the only active and autonomous retrotransposons in the human genome and contribute to cancer progression [14]. A previous study has shown that two Line-1 encoded proteins (L1ORF1p and L1ORF2p) are highly expressed in OSCC [15]. Line-1 promotes OSCC cell proliferation, migration, and invasion by mediating EMT [16]. It has been reported that p53 binds to the 5’ UTR of Line-1 and inhibits its expression [17]. However, the precise role of p53/Line-1 in tumor EMT is poorly understood.

N6-methyladenosine (m6A) is the most abundant mRNA modification in mammals and is involved in several aspects of RNA metabolism [18]. Methyltransferase-like 3 (METTL3), METTL14 and Wilms’ tumor 1-associated protein (WTAP) are collectively referred to as “writers”. They are the components of the methyltransferase complex that catalyze m6A methylation. This process is reversible and the m6A modification can be removed by demethylases (“erasers”), including obesity-associated protein (FTO). In addition, m6A “readers” such as members of the YT521-B homology (YTH) domain are responsible for recognizing and binding to m6A modification sites. Dysregulated m6A modification is associated with cancer development, including OSCC [19, 20]. The m6A gene HNRNPC induces EMT, which promotes OSCC development [21]. METTL3 mediates m6A modification of BMI1, which in turn accelerates OSCC cell proliferation and metastasis [22]. The m6A reader HNRNPA2B1 induces EMT via the Line-1/TGF-β1/Smad2/Slug pathway and promotes OSCC development [16]. However, there is a large gap in defining the role of m6A modifications in OSCC. Therefore, this role was investigated in this study. Potential mechanisms regarding the involvement of METTL14 and FTO in EMT were also explored.

2. Methods
2.1 Patient Information

A total of 17 OSCC patients were recruited from the First Affiliated Hospital of Hunan University of Chinese Medicine. Seventeen pairs of tumor and corresponding paracancerous tissue samples were collected. The paracancerous tissue was 2 cm away from the primary lesion. This cohort was approved by the Ethics Committee of the First Affiliated Hospital of Hunan University of Chinese Medicine (HN-LL-KY-2021-072). The study was conducted in accordance with the Declaration of Helsinki. The medical history and clinical information of the patients were collected, which included age, gender, smoking status, tumor location, and tumor node metastasis (TNM) classification (Table 1). The patients underwent curative tumor resection, cervical lymph node dissection, and free flap repair and reconstruction surgery. No complications occurred. Written informed consent was obtained from all recruited subjects.

Table 1.Clinical characteristics of the 17 cases of OSCC patients.
Variable Cases, N (%)
Total patients 17
Gender
Male 14 (82.4)
Female 3 (17.6)
Age (years)
<60 14 (82.4)
60 3 (17.6)
Smoking
Yes 12 (70.6)
No 5 (29.4)
Primary site
Buccal mucosa 8 (47.0)
Tongue 9 (53.0)
T classification
T1 3 (17.6)
T2 10 (58.9)
T3 3 (17.6)
T4 1 (5.9)
Lymph node metastasis
N0 10 (58.9)
N1 4 (23.5)
N2 3 (17.6)
Distant metastasis
Yes 0 (0)
No 17 (100)

OSCC, oral squamous cell carcinoma.

2.2 Bioinformatic Analysis

The differentially expressed genes in OSCC were downloaded from the microarray datasets (GSE25099 and GSE30784) of the Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/.). Filtering conditions were set as abs(log flod change (FC)) >1, and p-value < 0.05. Volcano plots and heat maps were generated. A literature search was performed to identify 1184 EMT-related genes [23]. A Venn diagram was drawn to show overlap between EMT-related and differentially expressed genes in OSCC.

2.3 Cell Culture and Processing

OSCC cell lines were purchased from Abiowell (Changsha, China) which included SCC-9 (AW-CCH135), SCC-25 (AW-CCH134), and CAL-27 (AW-CCH129). CAL-27 cells were maintained in Dulbecco’s modified Eagle’s medium (DMEM; D5796, Sigma Aldrich, St. Louis, MO, USA) containing 10% fetal bovine serum (FBS; 10099141, Gibco, San Diego, CA, USA) and 1% penicillin-streptomycin (P/S; AWH0529a, Abiowell). SCC-9 cells were grown in DMEM/F12 (D8437, Sigma Aldrich) with 10% FBS, 400 ng/mL hydrocortisone, and 1% P/S. SCC-25 cells were cultured in DMEM/F12 with 10% FBS, 400 ng/mL hydrocortisone, 1% sodium pyruvate, and 1% P/S. Normal human oral keratinocytes (HOK) (#2610) were obtained from ScienCell (San Diego, CA, USA) and maintained in oral keratinocyte culture medium. All cell lines were validated by short tandem repeat (STR) profiling and tested negative for mycoplasma. Cells were cultured in a humidified incubator at 37 °C with 5% CO2.

Lipofectamine 2000 reagent (11668019, Invitrogen, Carlsbad, CA, USA) was employed to transfect SCC-25 and CAL-27 cells with insulin receptor substrate 1 interference vector (sh-IRS1), METTL14 interference vector (sh-METTL14), overexpressed METTL14 vector (oe-METTL14), overexpressed FTO vector (oe-FTO), YTHDC1 interference vector (sh-YTHDC1), and corresponding negative control (NC) reagents. The vectors were purchased from HonorGene (Changsha, China). SCC-25 and CAL-27 cells were treated with 200 µM pifithrin-α (PFT-α, a p53 inhibitor, S2929, Selleck, Houston, TX, USA) for 24 h. PFT-α was added to sh-IRS1-treated cells for 24 h to study the effects of p53 on IRS1 function [24].

2.4 Cell Counting Kit-8 (CCK8) Detection

SCC-25 and CAL-27 cells were trypsinized and seeded into 96-well plates at a density of 5 × 103 cells/well. CCK8 (10 µL; NU679, Dojindo, Tokyo, Japan) was added to each well. The cells were transferred to the incubator (37 °C) and cultured for 4 h. The optical density (OD) of each well was measured at 450 nm using a microplate reader (MB-530, HEALES, Shenzhen, China).

2.5 EDU (5-ethynyl-2-deoxyuridine) Staining

The EDU assay kit (C10310, RiboBio, Guangzhou, China) was used to evaluate cell proliferation. The transfected SCC-25 and CAL-27 cells were seeded in 96-well plates at a density of 5 × 104 cells/well. The diluted EDU solution was added to each well and incubated overnight. After the cells were fixed, 1 × Apollo staining solution was incubated for 30 min. After washing, Hoechst33342 solution was added and incubated for 30 min in the dark. The nuclei were counterstained with 4,6-diamidino-2-phenylindole (DAPI; C1005, Beyotime Biotechnology, Shanghai, China). Finally, the positive labels were detected by fluorescence microscopy (CX41-72C02, Olympus, Tokyo, Japan) and counted.

2.6 Colony Formation Assay

SCC-25 and CAL-27 cells were trypsinized and resuspended in culture medium. The suspension containing 200 cells was seeded in a 6-well plate. Cells were grown in an incubator (37 °C, 5% CO2) until clear colonies appeared. Cells were fixed with 4% paraformaldehyde and stained with crystal violet solution. They were destained after the imaging and the OD value was recorded at 550 nm.

2.7 Transwell Experiment

Transwell chambers (3428, Corning lnc., Corning, NY, USA) were used to evaluate cell migration. Briefly, 500 µL DMEM with 10% FBS was added to the bottom chamber. The culture chamber was inoculated with 2 × 106 cells/100 µL suspension. After 48 h of incubation, the chamber was washed with PBS. Cells were fixed with 4% paraformaldehyde and stained with crystal violet (AWC0333, Abiowell). The migrated cells were imaged and counted under an inverted microscope (DSZ2000X, Beijing Zhongxian Hengye Co., Ltd., Beijing, China).

2.8 Detection of Apoptosis

SCC-25 and CAL-27 cells were trypsinized after transfection. The cells were washed with PBS and resuspended in binding buffer. Annexin V-APC and propidium iodide (KGA1030, KeyGen BioTECH, Nanjing, China) were added sequentially and incubated for 10 min in the dark at room temperature. The extent of apoptosis was determined by flow cytometry (A00-1-1102, Beckman, Brea, CA, USA).

2.9 Immunofluorescence (IF) Assay

E-cadherin and α-SMA protein expression of SCC-25 and CAL-27 cells were evaluated by IF assay. Cells were fixed with 4% paraformaldehyde and permeabilized with 0.3% Triton X-100. Cells were blocked in 5% BSA for 1 h, incubated overnight at 4 °C with E-cadherin antibody (1:50, 20874-1-AP, Proteintech, Chicago, IL, USA) and α-SMA antibody (1:50, BM0002, BOSTER, Wuhan, China), and exposed to anti-rabbit/mouse IgG (H+L) (1:100, SA00013, Proteintech). The nuclei were stained with DAPI, and images (400× magnification) were captured with a fluorescence microscope (BA210E, Motic, Xiamen, China).

2.10 Animal Models

Four-week-old male nude mice were purchased from Hunan SJA Laboratory Animal Co., Ltd (Changsha, China). After one week of adaptation, 2 × 106 cells/100 µL of CAL-27 were injected subcutaneously. The animals were divided into four groups: Con (untransfected CAL-27 cells), oe-NC+oe-NC (transfected with negative control vector), oe-IRS1+oe-NC (transfected with oe-IRS1), and oe-IRS1+oe-FTO (transfected with oe-IRS1 and oe-FTO) groups, with 3 animals in each group. Mice were sacrificed after 28 days by intraperitoneal injection of 1% sodium pentobarbital. Tumors were harvested, photographed and measured. Tumor size (cm3) = length × width × width/2.

2.11 Western Blotting

Total protein was extracted from cell lysates or tumor tissue by radioimmunoprecipitation assay (RIPA, AWB0136, Abiowell). Protein was quantified using bicinchoninic acid (BCA) kit (AWB0104, Abiowell). Total proteins were separated by sodium dodecyl-sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and transferred to nitrocellulose membranes. The membranes were blocked in 5% skimmed milk powder and incubated with primary antibodies at 4 °C overnight. They were washed with Tris-buffered saline (TBST) and incubated with secondary antibodies for 90 min. Finally, the membranes were exposed to ECL Plus (AWB0005, Abiowell), and protein bands were observed in a gel imaging system (ChemiScope6100, CLiNX, Shanghai, China). Information on the antibodies is given in Table 2. Raw data for western blotting can be found in the Supplementary Material.

Table 2.Antibodies used in the study.
Indicator Dilution Origin Catalog Manufacturer
IRS1 1:1000 Rabbit 17509-1-AP Proteintech
Line-1 ORF1p 1:1000 Rabbit ab216324 Abcam
p53 1:20,000 Rabbit 10442-1-AP Proteintech
Vimentin 1:2000 Rabbit ab92547 Abcam
Snail1 1:1000 Rabbit 13099-1-AP Proteintech
Snail2 1:2000 Rabbit 12129-1-AP Proteintech
METTL14 1:2000 Rabbit 26158-1-AP Proteintech
FTO 1:10,000 Rabbit ab126605 Abcam
Claudin-1 1:1000 Rabbit ab15098 Abcam
ZO-1 1:1000 Rabbit ab96587 Abcam
β-actin 1:5000 Mouse 66009-1-Ig Proteintech
HRP goat anti-mouse IgG 1:5000 Mouse SA00001-1 Proteintech
HRP goat anti-rabbit IgG 1:6000 Rabbit SA00001-2 Proteintech

IRS1, insulin receptor substrate 1; Line-1 ORF1p, open reading frame 1 protein from long interspersed nuclear element 1; METTL14, methyltransferase-like 14; FTO, obesity-associated protein; ZO-1, zonula occludens-1.

2.12 Quantitative Real-Time PCR (qRT-PCR)

Total RNA was extracted from cell lysates using TRIzol (15596026, Thermo, Waltham, MA, USA) and reverse transcribed using HiFiScript cDNA synthesis kit (CW2569, ConWin, Taizhou, China). The qRT-PCR was performed using the UltraSYBR Mixture Kit (CW2601, ConWin). Relative IRS1 enrichment after normalization with β-actin was determined by 2-ΔΔCt method. The primer sequence (5-3) was purchased from Beijing Tsingke Biotech Co., Ltd. (Beijing, China) with the following sequence: IRS1 (forward: 5-AGAGGACCGTCAGTAGCTCA-3 and reverse, 5-ACTGAAATGGATGCATCGTACC-3), YTHDC1 (forward: 5-TCATCTTCCGTTCGTGCTGT-3 and reverse: 5-TACAGGGAGCGTGGACCATA-3), β-actin (forward: 5-ACCCTGAAGTACCCCATCGAG-3 and reverse: 5-AGCACAGCCTGGATAGCAAC-3).

2.13 RNA Immunoprecipitation (RIP)

The RIP assay kit (17-700, Merck, Billerica, MA, USA) was used according to the manufacturer’ guidelines. RIP lysis buffer was used to lyse SCC-25 and CAL-27 cells. Lysates were incubated with YTHDC1 (14392-1-AP, Proteintech) and IgG antibodies at 4 °C overnight, followed by incubation with Protein A/G magnetic beads. The precipitated RNA was extracted with Trizol reagent and subjected to qRT-PCR for determination of IRS1 enrichment caused by each antibody.

2.14 Methylated RNA Immunoprecipitation (MeRIP)

MeRIP-qPCR was used to quantify m6A-modified IRS1. The cleaved RNA fragments were incubated overnight at 4 °C with m6A antibody (ab286164, Abcam, Cambridge, UK) or IgG antibody, followed by incubation with Protein A/G magnetic beads. RNA was extracted from the beads and the IRS1 enrichment was determined by qRT-PCR.

2.15 RNA Fluorescence in Situ Hybridization (FISH)

The subcellular localization of IRS1 was detected by FISH kit by according to the instructions (C10910, RiboBio, Guangzhou, China). SCC-25 and CAL-27 cells were fixed with 4% polyformaldehyde and permeabilized with 0.3% Triton X-100. They were hybridized with IRS1 probe overnight in the dark at 4 °C. The nuclei were stained with DAPI. IRS1 localization was observed by fluorescence microscopy (BA210E, Motic, Xiamen, China).

2.16 Immunohistochemistry (IHC) Staining

IHC was used to determine the expression of IRS1 and ki67 in tissues. Briefly, sections were thermochemically repaired, and 1% periodate was added to eliminate the endogenous peroxidase activity. After washing, the sections were incubated overnight at 4 °C with IRS1 (1:200, 17509-1-AP, Proteintech) or Ki67 (1:400, ab16667, Abcam). They were incubated with HRP goat anti-mouse IgG (1:100, AWS0003, Abiowell). The nuclei were stained with hematoxylin. The sections were incubated in alcohol and xylene. Finally, images (100× and 400× magnification) were captured using a microscope (BA410T, Motic). Positive staining was quantified using Image-Pro-Plus (IPP) software (Media Cybernetics, Rockville, MD, USA).

2.17 Statistical Analysis

All results were expressed as mean ± standard deviation (SD) and analyzed using GraphPad Prism 9.0 (GraphPad, La Jolla, CA, USA). Differences between two independent samples were evaluated by Student’ t-test. One-way analysis of variance (ANOVA) was used to determine differences between multiple groups. All experiments included three independent biological replicates. Each biological replicate included three technical replicates. p < 0.05 was considered statistically significant. Raw data for western blotting can be found in the Supplementary Material.

3. Results
3.1 Involvement of IRS1 in the Pathogenesis of OSCC

The differentially expressed genes in OSCC from two databases (GSE25099 and GSE30784) were screened and analyzed. The analysis revealed that large number of genes were differentially expressed in OSCC tissues, as shown by volcano plots and heat maps (Fig. 1A,B). EMT-related genes [23] were identified to predict the common targets of EMT and OSCC. Venn diagram showed 96 common EMT-related genes (Fig. 1C and Table 3). The EMT-related gene IRS1 was upregulated in OSCC tissues (Table 3). Previous studies demonstrated the role of IRS1 in EMT [25, 26, 27]. IRS1 was prioritized as a target because it negatively regulates p53 expression in endothelial cells and neurons [28]. The tumor suppressor p53 regulates the EMT process by modulating several intercellular cascades [29]. IHC staining was performed on the collected clinical samples to detect IRS1 expression. IRS1 expression was higher in OSCC tissues compared to paracancerous tissues (Fig. 2). These results indicated the involvement of IRS1 in the pathogenesis of OSCC.

Fig. 1.

The intersection of epithelial-mesenchymal transition (EMT)-related genes and differentially expressed genes in oral squamous cell carcinoma (OSCC). (A) Volcano plot and (B) heat map showing differentially expressed genes (GSE25099 and GSE30784) in OSCC. (C) Venn diagram showing the intersection of EMT-related and differentially expressed genes in OSCC.

Fig. 2.

Identification of insulin receptor substrate 1 (IRS1) expression in 17 pairs of OSCC and corresponding paracancerous tissue samples by immunohistochemistry (IHC) staining. Scale bar, 250 µm (up), 100 µm (middle), and 25 µm (down). *p < 0.05 vs. Paracancerous tissue. n = 17.

Table 3.Differential genes related to EMT.
Gene name LogFC p-value
Up-regulated genes in OSCC
PDPN 1.683 7.21 × 1020
LAMC2 3.054 4.21 × 1023
MAD2L2 1.185 2.14 × 1019
PTGS2 1.445 1.4 × 106
LTBP1 1.408 4.02 × 1018
MTHFD2 1.013 5.63 × 1017
CCL20 2.216 7.25 × 1013
IL1B 1.697 3.63 × 107
CXCR4 1.084 1.08 × 105
STAT1 2.040 1.2 × 1024
FN1 2.253 5.4 × 1013
IRS1 1.181 3.04 × 1016
SKIL 1.267 1.37 × 1011
ECT2 1.264 1.95 × 1010
PFN2 2.303 8.67 × 1021
EIF5A2 1.839 6.86 × 1017
S100P 0.430 4.91 × 106
CXCL8 4.326 5.05 × 1020
CXCL13 1.185 0.002952
SPP1 3.467 4.53 × 1016
CXCL9 3.986 6.15 × 1017
FST 2.914 3.72 × 1021
F2RL2 1.441 5.11 × 108
CD14 1.874 3.51 × 1015
HAVCR2 1.089 3.14 × 1010
FSCN1 1.548 3.27 × 1019
IL6 1.075 4.96 × 106
CDK14 1.411 8.85 × 1012
SERPINE1 2.642 6.1 × 1018
MET 1.424 1.67 × 1017
PTPRZ1 2.287 4.47 × 1018
LYN 1.405 2.08 × 1016
SNAI2 1.178 2.55 × 1014
PAG1 1.217 1.18 × 1013
HAS2 1.032 0.020639
CD274 2.161 4.26 × 1016
TNC 2.275 1.19 × 1020
DKK1 1.880 1.29 × 108
ADAM12 1.996 4.55 × 1013
MICAL2 1.593 1.1 × 1021
MMP7 2.250 5.29 × 1010
MMP1 6.411 1.82 × 1037
MMP3 4.882 2.45 × 1023
MMP13 3.185 1.23 × 109
ETS1 1.058 2.19 × 1010
FOXM1 1.106 1.44 × 1010
PTHLH 2.492 2.16 × 1019
ITGA5 1.445 9.5 × 1013
POSTN 2.011 1.23 × 106
MMP14 1.033 1.06 × 1012
GREM1 2.335 1.85 × 1012
AQP9 1.393 3.55 × 105
CSPG4 1.010 4.03 × 106
CCL18 2.213 1.81 × 107
ITGA3 1.634 2.72 × 1017
ITGB4 1.067 2.82 × 1011
CCL5 1.139 1.17 × 108
KRT17 1.868 8.7 × 1013
MMD 1.637 1.97 × 1015
LAMA1 1.058 1.93 × 107
PLAUR 1.745 3.64 × 1017
MMP9 1.898 5.62 × 1015
TGM2 1.296 7.99 × 1010
MMP11 1.147 1.38 × 105
LGALS1 1.667 2.93 × 1012
TIMP1 1.527 1.35 × 1011
MSN 1.218 3.65 × 1022
ISG15 1.147 2.28 × 1012
Down-regulated genes in OSCC
TGFBR3 –1.960 7.6 × 1019
CXCR2 –1.989 6.73 × 1017
KAT2B –1.376 9.42 × 1015
SCIN –1.938 1.9 × 1018
PTN –2.031 3.78 × 1025
AQP3 –1.419 2 × 108
ALAD –1.011 7.66 × 1019
CAMK1D –1.169 1.54 × 1014
PDCD4 –1.375 4.05 × 1014
PARD3 –1.005 4.69 × 1010
CXCL12 –1.606 3.41 × 106
NUCB2 –1.260 6.11 × 1010
P2RY2 –1.118 4.06 × 1016
ELF5 –1.977 1.41 × 1011
SCEL –2.446 4.96 × 1011
TYRO3 –1.161 5.91 × 1014
MAPK3 –1.214 9.36 × 1017
ERBB2 –1.217 4.86 × 1015
PITPNM3 –1.051 3.76 × 1015
CLDN7 –1.832 1.18 × 109
KRT19 –1.290 2.32 × 106
CEACAM5 –1.983 2.49 × 107
CEACAM1 –1.299 9.25 × 108
LYPD3 –1.116 2.25 × 108
BMP7 –1.895 6.87 × 1021
KLF8 –1.137 1.82 × 1015
CD24 –1.607 2.64 × 1012
Unclear in OSCC
HPGD –0.04135 0.860842
3.2 IRS1 Regulates OSCC Cell Proliferation

The abundance of IRS1 was increased in SCC-9, SCC-25 and CAL-27 cells compared to HOK cells (Fig. 3A). The increase in IRS1 was more pronounced in SCC-25 and CAL-27 cells, which were selected for further study.

Fig. 3.

IRS1 regulates the proliferation and apoptosis of SCC-25 and CAL-27 cells. (A) The mRNA level and protein expression of IRS1 were determined by quantitative real-time PCR (qRT-PCR) and western blotting, respectively. *p < 0.05 vs. human oral keratinocytes (HOK). (B,C) Protein abundance of IRS1, p53, and Line-1 ORF1p. (D) Cell Counting Kit-8 (CCK8) assay was used to assess the proliferative capacity of SCC-25 and CAL-27 cells. (E) 5-ethynyl-2-deoxyuridine (EDU) labeling was used to assess the proliferation of SCC-25 and CAL-27 cells. Scale bar, 50 µm. (F) Growth of SCC-25 and CAL-27 cells was analyzed by colony formation assay. (G) Migration analysis of SCC-25 and CAL-27 cells by Transwell assay. Scale bar, 100 µm. (H) Detection of apoptosis in SCC-25 and CAL-27 cells by flow cytometry. *p < 0.05 vs. sh-NC. n = 3. sh-NC, the negative control interference vector.

SCC-25 and CAL-27 cells were transfected with sh-IRS1 to evaluate the role of IRS1. Analysis revealed that sh-IRS1 inhibited the protein abundance of IRS1 and Line-1 ORF1p and promoted the accumulation of p53 compared to the negative control interference vector (sh-NC) group (Fig. 3B,C). CCK8 depicted that the proliferative ability of cells in the sh-IRS1 group was reduced compared to the sh-NC group (Fig. 3D). EDU staining demonstrated that IRS1 silencing inhibited the proliferation of OSCC cells (Fig. 3E). Compared to the sh-NC group, sh-IRS1 reduced the number of cloned and migrated OSCC cells (Fig. 3F,G). The apoptosis rates of SCC-25 and CAL-27 cells were increased in the sh-IRS1 group (Fig. 3H). These findings indicated that IRS1 silencing regulated the p53/Line-1 signaling pathway, inhibited OSCC cell proliferation and migration, and promoted apoptosis.

3.3 IRS1 Promotes EMT of OSCC Cells through the p53/Line-1 Signaling Pathway

Activation of the EMT program resulted in the transformation of epithelial cells expressing high levels of epithelial cell markers into mesenchymal cells expressing mesenchymal cell markers [30]. Compared with the sh-NC group, sh-IRS1 promoted the protein expression of epithelial cell markers (Claudin-1 and ZO-1) in SCC-25 and CAL-27 cells. The expression of mesenchymal cell markers (Vimentin, Snail1 and Snail2/Slug) was suppressed by sh-IRS1 (Fig. 4A). IF detection showed that the fluorescence intensity of epithelial cell marker E-cadherin was increased in the sh-IRS1 group. The fluorescence intensity of mesenchymal cell marker α-SMA was decreased in the sh-IRS1 group (Fig. 4B and Supplementary Fig. 1A). These results demonstrated that IRS1 silencing inhibited EMT in OSCC cells.

Fig. 4.

IRS1 regulates the EMT program in SCC-25 and CAL-27 cells. (A) Western blotting analysis of Claudin-1, ZO-1, Vimentin, Snail1 and Snail2/Slug protein abundance. *p < 0.05 vs. sh-NC. (B) Immunofluorescence (IF) assay was used to evaluate the effect of IRS1 on E-cadherin and α-SAM expression in SCC-25 and CAL-27 cells. *p < 0.05 vs. sh-NC. (C) Examination of the effect of pifithrin-α (PFT-α) on IRS1-regulated E-cadherin and α-SAM expression by IF assay. *p < 0.05 vs. sh-NC; &p < 0.05 vs. sh-IRS1+vehicle. (D) Effects of IRS1 and PFT-α on the expression of Line-1 ORF1p and EMT-related makers. *p < 0.05 vs. untreated; &p < 0.05 vs. PFT-α; #p < 0.05 vs. sh-IRS1. n = 3.

The p53 inhibitor PFT-α was used to evaluate the effect of p53 on IRS1 function. Compared with the sh-IRS1+vehicle group, the sh-IRS1+PFT-α group exhibited a decrease in the fluorescence intensity of E-cadherin and an increase in fluorescence intensity of α-SMA in SCC-25 and CAL-27 cells (Fig. 4C and Supplementary Fig. 1B). Compared to the untreated group, PFT-α promoted the expression of Line-1 ORF1p, whereas sh-IRS1 inhibited its expression. The sh-IRS1 inhibited Line-1 ORF1p expression compared to the PFT-α alone treatment group. PFT-α promoted the expression of Line-1 ORF1p compared to the sh-IRS1 alone treatment group (Fig. 4D). PFT-α suppressed the expression of Claudin-1 and ZO-1 and promoted the expression of Vimentin, Snail1, and Snail2 compared to the untreated group, while sh-IRS1 had the opposite effect. Compared with the PFT-α group, sh-IRS1 upregulated the expression of Claudin-1 and ZO-1 and downregulated the expression of Vimentin, Snail1, and Snail2. PFT-α inhibited the expression of Claudin-1 and ZO-1 and promoted the expression of Vimentin, Snail1, and Snail2 compared to the sh-IRS1 group (Fig. 4D). These results indicated that IRS1 induced EMT of OSCC cells, at least in part, through the p53/Line-1 signaling pathway.

3.4 Confirmation of IRS1 m6A Modification in OSCC

METTL14 has a role in tumorigenesis by mediating the m6A modifications [31]. Compared to the sh-NC group, the expressions of METTL14 and IRS1 were reduced in SCC-25 and CAL-27 cells after transfection with sh-METTL14. Transfection with oe-METTL14 increased the expression of METTL14 and IRS1 in SCC-25 and CAL-27 cells (Fig. 5A). The m6A modification was involved in IRS1-mediated EMT induction in OSCC cells. The m6A modification levels of IRS1 were identified in SCC-25 and CAL-27 cells by MeRIP-qPCR assay. SCC-25 and CAL-27 cells exhibited increased m6A modification levels of IRS1 compared to HOK cells (Fig. 5B). Compared with the sh-NC group, sh-METTL14 downregulated the m6A modification levels of IRS1. Compared with the oe-NC group, oe-METTL14 upregulated the m6A levels of IRS1 (Fig. 5C). FTO is an important demethylase. SCC-25 and CAL-27 cells after transfection with oe-FTO exhibited increased FTO expression and decreased IRS1 expression (Fig. 5D). These results indicated that METTL14 and FTO regulated the IRS1 mRNA stability in SCC-25 and CAL-27 cells.

Fig. 5.

METTL14 and FTO mediate IRS1 N6-methyladenosine (m6A) modifications in SCC-25 and CAL-27 cells. (A) Western blotting for METTL14 and IRS1 protein abundance. *p < 0.05 vs. sh-NC; &p < 0.05 vs. oe-NC. (B) Methylated RNA Immunoprecipitation (MeRIP)-qPCR assay for m6A modification of IRS1 in OSCC cells. *p < 0.05 vs. human oral keratinocytes (HOK). (C) MeRIP-qPCR assay for METTL14 effect on IRS1 m6A modification. *p < 0.05 vs. sh-NC; &p < 0.05 vs. oe-NC. (D) Protein expression analysis of FTO and IRS1. *p < 0.05 vs. oe-NC. (E) RIP assay for the binding of YTHDC1 and IRS1. (F) YTHDC1 and IRS1 mRNA expression analysis. *p < 0.05 vs. sh-NC. (G) RNA fluorescence in situ hybridization (FISH) experiments for the detection of IRS1. Scale bar, 25 µm. *p < 0.05 vs. sh-NC. n = 3.

The m6A readers were screened against IRS1 mRNA. The highest ranked m6A reader by catRAPID was YTHDC1 (ranking = 0.967792), suggesting that YTHDC1 might mediate IRS1 mRNA expression in an m6A-dependent manner. RIP assays revealed significant enrichment of IRS1 in the YTHDC1 antibody bound complex of SCC-25 and CAL-27 cells (Fig. 5E), indicating the interaction between YTHDC1 and IRS1. The sh-YTHDC1 restricted the mRNA levels of YTHDC1 and IRS1 (Fig. 5F). FISH analysis revealed that IRS1 was localized to the nucleus rather than the cytoplasm, and IRS1 expression was reduced in SCC-25 and CAL-27 cells transfected with sh-YTHDC1 (Fig. 5G). These data supported a role for YTHDC1 in promoting nuclear export of m6A-modified IRS1.

3.5 m6A Modification Mediated IRS1 Regulating OSCC Progression

The nude mice received CAL-27 cell suspension transfected with overexpression plasmids to verify the role of IRS1 in vivo. Compared with the oe-NC+oe-NC group, transfection with oe-IRS1 increased the size and weight of OSCC xenograft tumors. Transfection with oe-FTO resulted in limited tumor growth compared to the oe-NC+oe-IRS1 group (Fig. 6A–C). Compared to the oe-NC+oe-NC group, oe-IRS1 increased the expression of IRS1 and Ki67. In contrast to the oe-NC+oe-IRS1 group, oe-FTO inhibited the expression of IRS1 and Ki67 (Fig. 6D and Supplementary Fig. 1C). In addition, the oe-NC+oe-IRS1 group showed decreased p53 expression and increased Line-1 ORF1p expression. Compared to the oe-NC+oe-IRS1 group, the oe-IRS1+oe-FTO group had increased p53 levels and decreased Line-1 ORF1p levels (Fig. 6E). Compared with the oe-NC+oe-NC group, oe-IRS1 inhibited the expression of Claudin-1 and ZO-1 and promoted the expression of Vimentin, Snail1, and Snail2. However, oe-FTO treatment reversed the expression of these proteins compared to the oe-IRS1+oe-NC group (Fig. 6F). These results indicated that IRS1 demethylation inhibited the xenograft tumor growth, at least in part, through the p53/Line-1 pathway.

Fig. 6.

m6A methylation-mediated IRS1 regulates OSCC tumor growth. (A) Representative tumor images. (B) Tumor growth was recorded during modeling. (C) Tumors in each group were weighed on day 28. (D) Immunohistochemistry (IHC) was performed to determine the expression of IRS1 and Ki67 in tumors. (E) Protein abundance of p53 and Line-1 ORF1p in tumors. (F) Protein levels of Claudin-1, ZO-1, Vimentin, Snail, and Snail2 in tumors. *p < 0.05 vs. oe-NC+oe-NC; &p < 0.05 vs. oe-IRS1+oe-NC. n = 3.

4. Discussion

EMT describes the process by which epithelial cells lose their cell acuity and cell-cell adhesion and transform into dynamic mesenchymal cells. They are critical for embryonic development and wound healing [32]. EMT also supports primary tumor formation and metastasis. Patients with OSCC suffer from high recurrence and mortality due to cancer cell invasion and metastasis [33]. In this study, EMT-related differentially expressed genes were screened from the OSCC samples, and IRS1 was identified as a potential target for OSCC treatment. IRS1 is involved in the Wnt-mediated EMT process and affects the progression of lung adenocarcinoma cells [34]. Inhibition of IRS1 activates ERK2, which controls the metastasis of breast cancer cells [26]. The data in this study showed that IRS1 expression was increased in OSCC clinical samples and OSCC cells (SCC-25, SCC-9, CAL-27). IRS1 silencing reduced proliferation and colony formation and promoted apoptosis in SCC-25 and CAL-27 cells. IRS1 overexpression promoted the xenograft tumor growth. The EMT program is executed by a group of EMT-activated transcription factors (EMT-TFs), including Snail1 and Snail2/Slug [35]. These EMT-TFs repress epithelial markers such as E-cadherin, ZO-1, and Claudin-1 by binding to E-box sequences. These transcription factors stimulate the accumulation of mesenchymal markers, including Vimentin, FN, and N-cadherin. In this study, it was observed that IRS1 silencing suppressed the expression of Snail1, Snail2, Vimentin, and α-SMA and induced the accumulation of E-cadherin, ZO-1, and Claudin-1. IRS1 overexpression had the opposite effect. These results indicated that IRS1 promoted EMT and OSCC metastasis by regulating the levels of related markers.

m6A is essential for the various stages of mRNA metabolism and is regulated by m6A methyltransferases, demethylases, and readers. The m6A modification is involved in proliferation, invasion and metastasis of various tumors [36]. Therefore, the EMT process of OSCC from the perspective of m6A modification was investigated to provide experimental evidence for OSCC treatment. The role of m6A modification in OSCC has been gradually elucidated. METTL14, as the core molecules of the methyltransferase complex, has an effect on the stability of gene mRNA for specific biological processes in an m6A-dependent manner [37, 38]. METTL14 was upregulated in OSCC tissues and cells. It promotes OSCC cell proliferation by inducing the m6A modification of MALAT1 [39]. FTO, which is a demethylase, has high levels in OSCC. Low levels of FTO increase autophagic flux and inhibit OSCC cell proliferation and tumor growth [40, 41]. In this study, low levels of METTL14 restricted IRS1 expression and reduced m6A modification of IRS1 in SCC-25 and CAL-27 cells. METTL14 overexpression had the opposite effect. FTO overexpression downregulated IRS1 expression in SCC-25 and CAL-27 cells. FTO overexpression in xenograft model reversed the tumor growth-promoting effect of IRS1 and protected mice from OSCC. METTL14 and FTO had identified the dynamic and reversible regulation of IRS1 m6A modification. m6A modification also regulates the nuclear export of mRNA [42]. YTHDC1 is the only nuclear-localized m6A-binding protein that affects the RNA function [43]. In this study, YTHDC1 knockdown was found to inhibit the nuclear export of IRS1 in SCC-25 and CAL-27 cells. YTHDC1 knockdown also resulted in decreased IRS1 mRNA levels, indicating that nuclear retention of IRS1 decreased IRS1 mRNA expression. These results suggested that METTL14/FTO/YTHDC1 regulated the IRS1 m6A modification in OSCC cells and determined OSCC cell fate.

IRS1 silencing promoted p53 expression and inhibited Line-1 ORF1p expression in OSCC. Studies have shown that p53 is critical for tumor cell metastasis [44]. The p53 has a conserved binding site in the Line-1 element, and p53 and Line-1 are antagonistic to each other [45]. In the present study, p53 inhibition reversed the mesenchymal-epithelial transition induced by IRS1 silencing in SCC-25 and CAL-27 cells. These results demonstrated that IRS1 induced tumor metastasis through the p53/Line-1 pathway. Furthermore, it was observed that FTO overexpression reversed the regulation of p53/Line-1 by IRS1 in xenograft model. It was suggested that low m6A modification of IRS1 activated the p53/Line-1 pathway. The main function of m6A is to control retrotransposons, such as Line-1, to control genome stability. m6A acts directly on Line-1 and affects the expression and function of Line-1 RNA [46]. Recent reports highlight the methylation status of Line-1 as a target for cancer diagnosis/prognosis [47]. The evidence suggests that Line-1 can be used to indicate the prognosis of OSCC, and the abnormal methylation status of Line-1 is closely associated with TP53 mutations and leads to changes in OSCC gene expression [48]. However, further studies would explore the exact relationship between m6A methylation-IRS1-p53/Line-1-OSCC. More clinical samples need to be collected to explore the comprehensive role of IRS1. Field cancerization in the oral cavity is a significant factor contributing to the development of second primary tumors and recurrence [49]. Advanced OSCC often indicates extensive field cancerization [50]. However, it remains to be determined in future research whether genetic and epigenetic alterations are present in histologically normal appearing paracancerous tissue.

5. Conclusions

For the first time, this study demonstrates the role of m6A modification in the EMT process of OSCC mediated by the METTL14/FTO/IRS1 axis. The role of m6A modification of IRS1 mRNA in OSCC development is also demonstrated. METTL14/FTO/YTHDC1 mediates IRS1 m6A modification and increases IRS1 mRNA stability, which promotes proliferation and metastasis of OSCC cells. This process is mediated, at least in part, through the p53/Line-1 signaling pathway. These findings broaden the understanding of m6A modifications in OSCC pathogenesis and help to identify novel diagnostic/therapeutic targets.

Availability of Data and Materials

All data included in this study are available upon request by contact with the first author or corresponding author.

Author Contributions

YX and JT designed the research study. YX, XZ, QL, ZW, QZ, XL performed the research. JT provided help and advice on Bioinformatics analysis. YX, XZ analyzed the data. YX wrote the manuscript. All authors contributed to editorial changes in the manuscript. All authors read and approved the final manuscript. All authors have participated sufficiently in the work and agreed to be accountable for all aspects of the work.

Ethics Approval and Consent to Participate

All animal experiments were carried out in accordance with the Guidelines laid down by the National Institute of Health (NIH) in the USA regarding the care and use of animals for experimental procedures and in accordance with local laws and regulations. It was approved by the First Affiliated Hospital of Hunan University of Chinese Medicine (HN-LL-GZR-2022-34). Experiments involved with human samples were approved by the First Affiliated Hospital of Hunan University of Chinese Medicine (HN-LL-KY-2021-072). It was established, according to the ethical guidelines of the Helsinki Declaration and written informed consent was obtained from individual or guardian participants.

Acknowledgment

Not applicable.

Funding

The work was funded by National Natural Science Foundation of China (82374530), 2022 “Disciplinary Reveal System” project of Hunan University of Chinese Medicine (22JBZ046), Scientific Research Project of Hunan Provincial Education Department (21B0398) and the Natural Science Foundation of Hunan Province, China (2021JJ70109).

Conflict of Interest

The authors declare no conflict of interest.

References

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