IMR Press / CEOG / Volume 49 / Issue 6 / DOI: 10.31083/j.ceog4906144
Open Access Original Research
Identification and Validation of LYZ and CCL19 as Prognostic Genes in the Cervical Cancer Micro-Environment
Show Less
1 Department of Laboratory Medicine, The First Affiliated Hospital, Sun Yat-sen University, 510000 Guangzhou, Guangdong, China
2 Traditional Chinese Medicine Hospital of Guangdong Province, Guangzhou University of Traditional Chinese Medicine, 510000 Guangzhou, Guangdong, China
3 Gynecology Department, Guangdong Women and Children Hospital, 511442 Guangzhou, Guangdong, China
*Correspondence: (Peisong Chen); (Min Liu)
These authors contributed equally.
Academic Editor: Andrea Ciavattini
Clin. Exp. Obstet. Gynecol. 2022, 49(6), 144;
Submitted: 25 January 2022 | Revised: 19 April 2022 | Accepted: 5 May 2022 | Published: 17 June 2022
Copyright: © 2022 The Author(s). Published by IMR Press.
This is an open access article under the CC BY 4.0 license.

Backgrounds: Cervical cancer was a primary epithelial malignant tumor in the cervix, which was one of the most common malignant tumor in gynecology. We aimed to investigate the relation of tumor microenvironment and the prognosis of cervical cancer patients. Methods: We conducted an extensive bioinformatics analysis aims to study the correlation between stromal/immune cells and the prognosis of cervical cancer. In order to investigate the associations between genes and overall survival (OS) of cervical cancer. We performed large-scale data analysis through a global gene expression profile. We analyzed the expression profile of cervical cancer using the Cancer Genome Atlas (TCGA) database. An immune score and stromal score depending on the estimation algorithm which can quantify the stromal or immune components of cervical cancer was obtained. Based on that, we divided the cervical cancer patients in the TCGA database into high- and low-score groups, and then the identified different expression genes (DEGs) that expression associated with cervical cancer patient’s prognosis was identified. After that, we generated protein-protein interaction (PPI) networks and interrelationship analyses of the immune system by performing functional enrichment analysis. Results: Our study showed that these 363 genes were primarily associated with immune/inflammatory responses. Meanwhile, Gene Expression Omnibus (GEO) confirmed that 9 genes (CX3CL1, SCML4, LYZ, FGD2, SLAMF6, GIMAP7, CCL19, SELP and POU2AF1) were significantly associated with cervical cancer prognosis. Conclusions: We have made a list of genes related to tumor microenvironment which would be potential biomarkers for the prognosis of cervical cancer patients.

cervical cancer
immune micro-environment
bioinformatics analysis
Fig. 1.
Back to top