Single-Cell RNA Sequencing Reveals Multiple Pathways and the Tumor Microenvironment Could Lead to Chemotherapy Resistance in Cervical Cancer

被引:13
|
作者
Gu, Meijia [1 ]
He, Ti [2 ]
Yuan, Yuncong [3 ,4 ]
Duan, Suling [1 ]
Li, Xin [5 ]
Shen, Chao [3 ,4 ]
机构
[1] Wuhan Univ, Sch Pharmaceut Sci, Key Lab Combinatorial Biosynth & Drug Discovery, Minist Educ, Wuhan, Peoples R China
[2] Beijing Microread Genet Co Ltd, Dept Sci Res & Ind Applicat, Beijing, Peoples R China
[3] Wuhan Univ, Coll Life Sci, Wuhan, Peoples R China
[4] Wuhan Univ, China Ctr Type Culture Collect, Wuhan, Peoples R China
[5] Wuhan Univ, Renmin Hosp, Dept Gynecol 2, Wuhan, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2021年 / 11卷
关键词
single-cell RNA sequencing; cervical cancer; tumor microenvironment; chemotherapy resistance; multiple pathways; DRUG-RESISTANCE; CISPLATIN; HETEROGENEITY; RECURRENT; EXPRESSION; PACLITAXEL; DIAPHRAGMS; SURVIVAL; KINASE; BREAST;
D O I
10.3389/fonc.2021.753386
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Cervical cancer is one of the most common gynecological cancers worldwide. The tumor microenvironment significantly influences the therapeutic response and clinical outcome. However, the complex tumor microenvironment of cervical cancer and the molecular mechanisms underlying chemotherapy resistance are not well studied. This study aimed to comprehensively analyze cells from pretreated and chemoresistant cervical cancer tissues to generate a molecular census of cell populations. Methods: Biopsy tissues collected from patients with cervical squamous cell carcinoma, cervical adenocarcinoma, and chronic cervicitis were subjected to single-cell RNA sequencing using the 10x Genomics platform. Unsupervised clustering analysis of cells was performed to identify the main cell types, and important cell clusters were reclustered into subpopulations. Gene expression profiles and functional enrichment analysis were used to explore gene expression and functional differences between cell subpopulations in cervicitis and cervical cancer samples and between chemoresistant and chemosensitive samples. Results: A total of 24,371 cells were clustered into nine separate cell types, including immune and non-immune cells. Differentially expressed genes between chemoresistant and chemosensitive patients enriched in the phosphoinositide 3-kinase (PI3K)/AKT pathway were involved in tumor development, progression, and apoptosis, which might lead to chemotherapy resistance. Conclusions: Our study provides a comprehensive overview of the cancer microenvironment landscape and characterizes its gene expression and functional difference in chemotherapy resistance. Consequently, our study deepens the insights into cervical cancer biology through the identification of gene markers for diagnosis, prognosis, and therapy.
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页数:14
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