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Article 2021 · 14 citations

Stratification of patients with clear cell renal cell carcinoma to facilitate drug repositioning

Li, Xiangyu, Kim, Woonghee, Juszczak, Kajetan, Arif, Muhammad, Sato, Yusuke, Kume, Haruki, Ogawa, Seishi, Turkez, Hasan, Boren, Jan, Nielsen, Jens, Uhlen, Mathias, Zhang, Cheng, Mardinoglu, Adil

Abstract

Clear cell renal cell carcinoma (ccRCC) is the most common histological type of kidney cancer and has high heterogeneity. Stratification of ccRCC is important since distinct subtypes differ in prognosis and treatment. Here, we applied a systems biology approach to stratify ccRCC into three molecular subtypes with different mRNA expression patterns and prognosis of patients. Further, we developed a set of biomarkers that could robustly classify the patients into each of the three subtypes and predict the prognosis of patients. Then, we reconstructed subtype-specific metabolic models and performed essential gene analysis to identify the potential drug targets. We identified four drug targets, including SOAT1, CRLS1, and ACACB, essential in all the three subtypes and GPD2, exclusively essential to subtype 1. Finally, we repositioned mitotane, an FDA-approved SOAT1 inhibitor, to treat ccRCC and showed that it decreased tumor cell viability and inhibited tumor cell growth based on in vitro experiments.

Keywords
SIGNATURES IDENTIFICATION DISPARITIES RECURRENCE SURVIVAL RISK
WoS Categories
Multidisciplinary Sciences
Sustainable Development Goals
Citation
Journal
ISCIENCE
Year
2021
Volume
24
Issue
7
eISSN
2589-0042
DOI
10.1016/j.isci.2021.102722
WoS UID
WOS:000677580600028
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