Single-Cell Transcriptome Analysis Reveals Intratumoral Heterogeneity in ccRCC, which Results in Different Clinical Outcomes

• Published in: Molecular therapy Vol. 28; no. 7; pp. 1658 - 1672
• Main Authors: Hu, Junyi, Chen, Zhaohui, Bao, Lin, Zhou, Lijie, Hou, Yaxin, Liu, Lilong, Xiong, Ming, Zhang, Yuhan, Wang, Bin, Tao, Zhen, Chen, Ke
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 08.07.2020; American Society of Gene & Cell Therapy
• Subjects: bioinformatics; Carcinoma, Renal Cell - genetics; Carcinoma, Renal Cell - metabolism; clear-cell renal cell carcinoma; Female; Gene Expression Profiling - methods; Gene Expression Regulation, Neoplastic; Gene Regulatory Networks; heterogeneity; Humans; Kidney Neoplasms - genetics; Kidney Neoplasms - metabolism; Lymphocytes, Tumor-Infiltrating - immunology; Male; Organ Specificity; Original; Prognosis; Sequence Analysis, RNA; Single-Cell Analysis - methods; single-cell sequencing; T cell exhaustion; tumor microenvironment; T cell exhaustion; single-cell sequencing; tumor microenvironment; heterogeneity; bioinformatics; clear-cell renal cell carcinoma

Clear-cell renal cell carcinoma (ccRCC) is the most common histological type of RCC. To investigate the intratumoral heterogeneity of ccRCC, we analyzed single-cell RNA-sequencing data and identified 15 major cell types, along with 39 subgroups of cells derived from tumor or non-malignant tissues, a...