Single-cell RNA-binding protein pattern-mediated molecular subtypes depict the hallmarks of the tumor microenvironment in bladder urothelial carcinoma

Author:

Zhang Jun1,He Jiejie2,Chen Wen3,Chen Guojun1,Wang Liang4,Liu Yuchan5,Wang Zhanjin6,Yang Ming7,Huang Guoyi3,Yang Yongli8,Ma Wei9,Li Yan10ORCID

Affiliation:

1. Department of Urology Surgery , Affiliated Hospital of Qinghai University , Xining , Qinghai Province , China

2. Department of Surgical Oncology , Affiliated Hospital of Qinghai University and Affiliated Cancer Hospital of Qinghai University , Xining , Qinghai Province , China

3. Wuhan Ruixing Biotechnology Co. Ltd. , Wuhan , Hubei Province , China

4. Department of Gastrointestinal Oncology , Affiliated Hospital of Qinghai University and Affiliated Cancer Hospital of Qinghai University , Xining , Qinghai Province , China

5. Department of Gynecology and Obstetrics , Jingmen Central Hospital , Jingmen , Hubei Province , China

6. Medical College of Qinghai University , Xining , Qinghai Province , China

7. Department of Medical Records and Statistic, Affiliated Hospital of Qinghai University , Xining , Qinghai Province , China

8. Department of Gynecology , Affiliated Hospital of Qinghai University , Xining , Qinghai Province , China

9. Department of Surgery , Affiliated Hospital of Qinghai University , Xining , Qinghai Province , China

10. Department of Gynecologic Oncology , Affiliated Hospital of Qinghai University and Affiliated Cancer Hospital of Qinghai University , Xining , Qinghai Province , China

Abstract

Abstract Objectives Bladder carcinoma (BC) is a common malignancy of the urinary tract. As a new hallmark of cancer for drug therapy, RNA-binding proteins (RBPs) are key regulatory factors in alternative splicing events. This work is to uncover the relationship between BC and RBP in order to find drug targets in BC. Methods In this work, data from single-cell RNA-seq GSE1355337, PRJNA662018, and the TCGA-Bladder urothelial carcinoma (BLCA) cohorts are integrated to identify their relationships. A scoring system is constructed according to RBPs gene expression and patients’ survival. A network is constructed to analyze the alternative splicing events and RBP genes. Results A scoring system identified 321 RBPs significantly associated with the prognosis of patients. Subsequent typing of these RBP genes in two single-cell datasets demonstrated that most of the RBP genes had variable copy numbers. Three RBP clusters were identified. Using RBP genes as a signature in BC epithelial cells allows for differentiation between different grades of BC samples. The novel RBP genes-based subtype system reflects BC clinical staging. Notably, CellChat analysis revealed that the RBP genes-associated cell subtypes of T cells had extensive interactions with epithelial cells. Further analysis showed that the ligand-receptor pair MIF-CXCR4 mediated the communication between RBP-associated subtypes of BC epithelial cells and T cells. Conclusions Taken together, RBP genes are associated with BC progress and offer new indicators for precision medicine in BC.

Funder

Kunlun Talent – High – end Innovation and Entrepreneurial Talents

Publisher

Walter de Gruyter GmbH

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