Construction of an Excellent 7 mRNAsi-Related Gene Model Based on Cancer Stem Cells for Predicting Survival Outcome of Cervical Cancer

作者全名："Liu, Yang; Yang, Lin; Liang, Hao; Zeng, Jianhua; Hua, Yuanyuan; Wu, Huan"

作者地址："[Liu, Yang; Liang, Hao; Zeng, Jianhua; Hua, Yuanyuan; Wu, Huan] Chongqing Med Univ, Affiliated Hosp 2, Dept Obstet & Gynecol, Chongqing 400010, Peoples R China; [Yang, Lin] Chongqing Med Univ, Affiliated Hosp 1, Dept Gynecol, Chongqing, Peoples R China"

通信作者："Wu, H (通讯作者)，Chongqing Med Univ, Affiliated Hosp 2, Dept Obstet & Gynecol, Chongqing 400010, Peoples R China."

来源：STEM CELLS INTERNATIONAL

ESI学科分类：MOLECULAR BIOLOGY & GENETICS

WOS号：WOS:000982415800001

JCR分区：Q2

影响因子：3.8

年份：2023

卷号：2023

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：　

摘要："Background. Cervical cancer (CC) is one of the most frequent female malignancy. Cancer stem cells (CSCs) positively affect survival outcomes in cancer patients, but in cervical cancer, the mechanism of tumor stem cells is still uncertain. Methods. RNA-seq data and related clinical follow-up of patients suffering from CC were from TCGA. Consensus clustering screened prognostic mRNAsi-related genes and identified molecular subtypes for CC. Based on the overlapping differentially expressed genes (DEGs) in subtypes, we employed LASSO and multivariate Cox regression to screen prognostic-related genes and established the RiskScore system. The patients were grouped by RiskScore, the prognosis was analyzed by the Kaplan-Meier (K-M) curve among the various groups, and the precision of the RiskScore was assessed by the ROC curve. Finally, the potential worth of RiskScore in immunotherapy/chemotherapy response was assessed by evaluating TIDE scores and chemotherapy drug IC(50 )values. Results. We noticed that patients with low mRNAsi had a shorter survival and then identified three molecular subtypes (C1-3), with the C1 having the worst prognosis and the lowest mRNAsi. Finally, we identified 7 prognostic-related genes (SPRY4, PPP1R14A, MT1A, DES, SEZ6L2, SLC22A3, and CXCL8) via LASSO and Cox regression analysis. We established a 7-gene model defined RiskScore to predict the prognosis of CC patients. K-M curve indicated that low RiskScore patients had improved prognosis, and ROC curves indicated that RiskScore could precisely direct the prognostic evaluation for those suffering from the cancer. This was also confirmed in the GSE44001 and GSE52903 external cohorts. Patients were more sensitive to immunotherapy if with low RiskScore, and RiskScore exhibited precise assessment ability in predicting response to immunological therapy in CC patients. Conclusion. CC stemness is associated with patient prognosis, and the RiskScore constructed based on stemness characteristics is an independent prognostic index, which is expected to be a guide for immunotherapy, providing a new idea for CC clinical practice."

基金机构：General Program of Chongqing Natural Science Foundation [cstc2021jcyj-msxmX0219]

基金资助正文：AcknowledgmentsThe study was funded by the General Program of Chongqing Natural Science Foundation (cstc2021jcyj-msxmX0219): Study on the Role of CircRNA-0008193 Targeting miR-1226-5p in Regulating PD-L1 in Immune Escape of Cervical Cancer.