Subgroup-Independent Mapping of Renal Cell Carcinoma—Machine Learning Reveals Prognostic Mitochondrial Gene Signature Beyond Histopathologic Boundaries

Subgroup-Independent Mapping of Renal Cell Carcinoma—Machine Learning Reveals Prognostic Mitochondrial Gene Signature Beyond Histopathologic Boundaries

Background: Renal cell carcinoma (RCC) is divided into three major histopathologic groups—clear cell (ccRCC), papillary (pRCC) and chromophobe RCC (chRCC). We performed a comprehensive re-analysis of publicly available RCC datasets from the TCGA (The Cancer Genome Atlas) database, thereby combining...

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Bibliographic Details
Main Authors: André Marquardt, Antonio Giovanni Solimando, Alexander Kerscher, Max Bittrich, Charis Kalogirou, Hubert Kübler, Andreas Rosenwald, Ralf Bargou, Philip Kollmannsberger, Bastian Schilling, Svenja Meierjohann, Markus Krebs
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Oncology
Subjects:
kidney cancer
pan-RCC
machine learning
mitochondrial DNA
mtDNA
mTOR
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.621278/full

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https://www.frontiersin.org/articles/10.3389/fonc.2021.621278/full

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