Journal Article

Transcriptomic characterization and innovative molecular classification of clear cell renal cell carcinoma in the Chinese population

Hong, Baoan, Guo, Sheng, Qian, Wubin, Zhao, Qiang, Xue, Jia, Cai, Jie, Ji, Yongpeng, Liu, Tiezhu, Liu, Jia, Li, Qixiang, Fan, Bin, Yang, Yong, Zhang, Ning

2020

Overview

Background Large-scale initiatives like The Cancer Genome Atlas (TCGA) performed genomics studies on predominantly Caucasian kidney cancer. In this study, we aimed to investigate genomics of Chinese clear cell renal cell carcinoma (ccRCC). Methods We performed whole-transcriptomic sequencing on 55 tumor tissues and 11 matched normal tissues from Chinese ccRCC patients. We systematically analyzed the data from our cohort and comprehensively compared with the TCGA ccRCC cohort. Results It found that PBRM1 mutates with a frequency of 11% in our cohort, much lower than that in TCGA Caucasians (33%). Besides, 31 gene fusions including 5 recurrent ones, that associated with apoptosis, tumor suppression and metastasis were identified. We classified our cohort into three classes by gene expression. Class 1 shows significantly elevated gene expression in the VEGF pathway, while Class 3 has comparably suppressed expression of this pathway. Class 2 is characterized by increased expression of extracellular matrix organization genes and is associated with high-grade tumors. Applying the classification to TCGA ccRCC patients revealed better distinction of tumor prognosis than reported classifications. Class 2 shows worst survival and Class 3 is a rare subtype ccRCC in the TCGA cohort. Furthermore, computational analysis on the immune microenvironment of ccRCC identified immune-active and tolerant tumors with significant increased macrophages and depleted CD4 positive T-cells, thus some patients may benefit from immunotherapies. Conclusion In summary, results presented in this study shed light into distinct genomic expression profiles in Chinese population, modified the stratification patterns by new molecular classification, and gave practical guidelines on clinical treatment of ccRCC patients.

• Publisher: BioMed Central,Springer Nature B.V,BMC
• Subject: Apoptosis / Asian Americans / Bioinformatics / Biomedical and Life Sciences / Biomedicine / Cancer Research / CD4 antigen / Cell Biology / Clear cell renal cell carcinoma / Clear cell-type renal cell carcinoma / Computer applications / Datasets / Extracellular matrix / Gene expression / Genomes / Genomics / Immuno-phenotyping / Immunotherapy / Kidney cancer / Lymphocytes T / Macrophages / Metastases / Molecular classification / Mutation / Patients / Primary Research / Software / Survival analysis / TCGA / Transcriptomic characterization / Tumor suppression / Tumors / Vascular endothelial growth factor