Literature DB >> 32473387

A systematic review of genes affecting mitochondrial processes in cancer.

Maricruz Sepulveda-Villegas1, Rocio Rojo1, Debora Garza-Hernandez1, Mauricio de la Rosa-Garza1, Victor Treviño2.   

Abstract

Malignant conversion of cancer cells requires efficient mitochondria reprogramming orchestrated by hundreds of genes. The transformation includes increased energy demand, biosynthesis of precursors, and reactive oxygen species needed to accelerate cell growth, proliferation, and survival. Reprogramming involves complex gene alterations that have not been methodically curated. Therefore, we systematically analyzed the literature of cancer-related genes in mitochondria. Through the analysis of >2500 PubMed abstracts and >1600 human genes, we identified 228 genes showing clear roles in cancer. Each gene was classified according to their homeostatic function, together with the pathological transitions that contribute to specific cancer hallmarks. The potential clinical relevance of these hallmarks and genes is discussed by representative examples and validated by detecting differences in gene expression levels across 16 different types of cancer. A compendium, including the gene functions and alterations underpinning cancer progression, can be explored at http://bioinformatica.mty.itesm.mx/MitoCancer.
Copyright © 2020 Elsevier B.V. All rights reserved.

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Keywords:  Cancer; Hallmarks of cancer; Mitochondria; Mitochondrial proteins

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Year:  2020        PMID: 32473387     DOI: 10.1016/j.bbadis.2020.165846

Source DB:  PubMed          Journal:  Biochim Biophys Acta Mol Basis Dis        ISSN: 0925-4439            Impact factor:   5.187


  2 in total

1.  Integrative multiplatform-based molecular profiling of human colorectal cancer reveals proteogenomic alterations underlying mitochondrial inactivation.

Authors:  Wei Zhang; Donge Tang; Liewen Lin; Tingting Fan; Ligang Xia; Wanxia Cai; Weier Dai; Chang Zou; Lianghong Yin; Yong Xu; Yong Dai
Journal:  Am J Cancer Res       Date:  2021-06-15       Impact factor: 6.166

2.  Metabolism-Based Molecular Subtyping Endows Effective Ketogenic Therapy in p53-Mutant Colon Cancer.

Authors:  Meng Tang; Hui Xu; Hongyan Huang; Hao Kuang; Chenxi Wang; Qinqin Li; Xin Zhang; Yizhong Ge; Mengmeng Song; Xi Zhang; Ziwen Wang; Chaobing Ma; Jinlin Kang; Wanfang Zhang; You Wang; Bo Zhang; Xiaowei Zhang; Yongbing Chen; Minghua Cong; Gerry Melino; Xiaobin Wang; Fuxiang Zhou; Qiang Sun; Hanping Shi
Journal:  Adv Sci (Weinh)       Date:  2022-08-28       Impact factor: 17.521

  2 in total

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