Journal Article

Cell–cell communications shape tumor microenvironment and predict clinical outcomes in clear cell renal carcinoma

Zeng, Shen-jie, Liu, Xv-dong, Jiang, Qing, Wang, Jia-wu, Tang, Hai-bin, Chen, Liu-xun

2023

Overview

Background Cell–cell communications of various cell populations within tumor microenvironment play an essential role in primary tumor growth, metastasis evolution, and immune escape. Nevertheless, comprehensive investigation of cell–cell communications in the ccRCC (Clear cell renal carcinoma) microenvironment and how this interplay affects prognosis still remains limited. Methods Intercellular communications were characterized by single-cell data. Firstly, we employed “CellChat” package to characterize intercellular communications across all types of cells in microenvironment in VHL mutated and non-mutated samples from 8 patients, respectively. And pseudotime trajectory analyses were performed with monocle analyses. Finally clinical prognosis and immunotherapy efficacy with different landscapes of intercellular interplay are evaluated by TCGA-KIRC and immunotherapy cohort. Results Firstly, the VHL phenotype may be related to the intercellular communication landscape. And trajectory analysis reveals the potential relationship of cell–cell communication molecules with T cells and Myeloid cells differentiation. Furthermore, those molecules also correlate with the infiltration of T cells and Myeloid cells. A tumor cluster with highly expressed ligands was defined by quantitative analysis and transcription factor enrichment analysis, which was identified to be pivotal for intercellular communications in tumor microenvironment. Finally, bulk data indicates bulk that different clusters with different intercellular communications have significant predictive value for prognosis and distinguished immunotherapy efficiency. Conclusions The intercellular communication landscapes of VHL wild and VHL mutant ccRCC vary. Intercellular communications within the tumor microenvironment also influence T cell and myeloid cell development and infiltration, as well as predict clinical prognosis and immunotherapy efficacy in ccRCC.

• Publisher: BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
• Subject: Algorithms / Analysis / Biomedical and Life Sciences / Biomedicine / Cancer microenvironment / Carcinoma, Renal Cell - therapy / Care and treatment / Cell Communication / Cell differentiation / Cell interaction / Cell interactions / Cells / Cell–cell communications / Clear cell renal carcinoma / Clear cell-type renal cell carcinoma / Clinical outcomes / Communication / Development and progression / Factor Analysis, Statistical / Gene expression / Humans / Immunotherapy / Infiltration / Kidney cancer / Kidney Neoplasms / Ligands / Lymphocytes T / Medical prognosis / Medicine/Public Health / Metastases / Metastasis / Mutation / Myeloid cells / Patient outcomes / Phenotypes / Prevention / Prognosis / Risk factors / Transcription factors / Tumor Microenvironment