Role of the KRT7 Biomarker in Immune Infiltration and Paclitaxel Resistance in Ovarian Cancer

被引:0
|
作者
Wang, Shuai [1 ,2 ]
Li, Haiping [3 ]
Li, Mojuan [2 ]
Liu, Xiaoguang [4 ]
Yu, Shengquan [2 ]
Huang, Hao [2 ]
Wang, Xiaoyu [1 ]
机构
[1] Jinan Univ, Affiliated Hosp 1, Dept Obstet & Gynecol, Guangzhou, Guangdong, Peoples R China
[2] South China Univ Technol, Affiliated Hosp 6, Dept Obstet & Gynecol, Foshan, Guangdong, Peoples R China
[3] Guangdong Women & Children Hosp, Dept Gynecol, Guangzhou, Guangdong, Peoples R China
[4] Nanjing Med Univ, Nanjing Maternal & Child Hlth Care Hosp, Dept Gynecol, Obstet & Gynecol Hosp, Nanjing, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
EXPRESSION; IDENTIFICATION; CONTRIBUTES; CELL;
D O I
暂无
中图分类号
R [医药、卫生];
学科分类号
10 ;
摘要
Context center dot Paclitaxel (PTX) resistance is often associated with poor outcomes for patients with ovarian cancer (OC), but its mechanism is unknown. Clinicians are increasingly using immunotherapy in the management of OC, and the ability to assess tumor-immune interactions and identify effective, predictive, prognostic molecular biomarkers for OC is an urgent need. Objective center dot The study intended to explore the potential tumorigenesis mechanisms to identify promising biomarkers and improve survival in OC patients. Design center dot The research team performed a genetic analysis. Setting center dot The study took place at First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China. Outcome Measures center dot The research team: (1) obtained GSE66957 and GSE81778 gene expression profiles from the Gene Expression Omnibus (GEO) database and identified 468 differentially expressed genes (DEGs); (2) conducted functional enrichment analysis and constructed a protein-to-protein interaction ( PPI) network; (3) identified the OC survival-related genes using the Gene Expression Profiling Interactive Analysis 2 (GEPIA2) webserver and compared those genes with upregulated DEGs to identify the core genes; (4) used GEPIA2 and the Kaplan-Meier plotter to explore the expression profiles and the prognostic values of the core genes in OC; (5) used the LinkOmics, Oncomine, and GEPIA2 web servers to perform co-expression analysis and explore functional networks correlated with keratin 7 (KRT7); (6) performed correlation analyses between KRT7, the six main types of tumor-infiltrating lymphocytes (TILs), and immune signatures, using the TIMER tool; and (7) subsequently detected the KRT7 expression in the cell lines IOSE80, A2780, A2780/PTX, ho8910, skov3, and ovcar3 using quantitative reverse transcription-polymerase chain reaction (RT-qPCR) technology. Results center dot High expression levels of KRT7 were significantly correlated with progression-free survival (PFS) and poor overall survival (OS) for OC patients, with logrank P =.0074 and logrank P =.014, respectively. The expression levels of KRT7 were also significantly correlated with the infiltrated neutrophil levels (r = 0.169, P =.0077). The study identified neutrophils as potential predictors of survival in OC. Moreover, the expression levels of KRT7 in OC were positively correlated with 51 (31.68%) of the 161 immune gene markers. The RT-qPCR analyses revealed a high expression of KRT7 in the paclitaxelresistant OC cell line. Conclusions center dot KRT7 is correlated with immune infiltration and paclitaxel resistance in OC patients. Therefore, clinicians could use KRT7 as a prognostic marker and a target in the development of new drugs.
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页码:132 / 140
页数:9
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