Int. J. Med. Sci. 2021, Vol. 18 2063 Ivyspring International Publisher International Journal of Medical Sciences 2021; 18(9): 2063-2075. doi: 10.7150/ijms.51703 Research Paper Characteristics and prognostic value of potential dependency genes in clear cell renal cell carcinoma based on a large-scale CRISPR-Cas9 and RNAi screening database DepMap Bowen Shi*, Jie Ding*, Jun Qi, Zhengqin Gu Department of Urology, School of Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University, Shanghai 200092, P.R. China. * These authors contributed equally. Corresponding authors: Dr. Jun Qi or Dr. Zhengqin Gu, Department of Urology, School of Medicine, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University, 1665 Kongjiang Road, Shanghai 200092, P.R. China. E-mail:
[email protected];
[email protected]. © The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. Received: 2020.08.08; Accepted: 2021.03.01; Published: 2021.03.11 Abstract Background: Large-scale loss-of-function screening database such as Cancer Dependency Map (Depmap) provide abundant resources. Investigation of these potential dependency genes from human cancer cell lines in the real-world patients cohort would evaluate their prognostic value thus facilitate their clinical application and guide drug development. Methods: A few genes were selected from top clear cell renal cell carcinoma (ccRCC) lineage preferential dependency candidates from Depmap. Their characteristic including expression levels both in normal and tumor tissues and correlations with methylation or copy number, genetic alterations, functional enrichment, immune-associated interactions, prognostic value were evaluated in KIRC cohort from TCGA, GTEx, and multiple other open databases and platforms.