Literature DB >> 33449159

Cost-efficiency tradeoff is optimized in various cancer types revealed by genome-wide analysis.

Shufen Zhao1, Shanai Song1, Qi Qi1, Wei Lei2.   

Abstract

The tradeoff between cost and efficiency is omnipresent in organisms. Specifically, how the evolutionary force shapes the tradeoff between biosynthetic cost and translation efficiency remains unclear. In the cancer community, whether the adjustment of cost-efficiency tradeoff acts as a strategy to facilitate tumor proliferation and contributes to oncogenesis is uninvestigated. To address this issue, we retrieved the gene expression profile in various cancer types and the matched normal samples from The Cancer Genome Atlas (TCGA). We found that the highly expressed genes in cancers generally have higher tAI/nitro ratios than those in normal samples. This is possibly caused by the higher tAI/nitro ratios observed in oncogenes than tumor suppressor genes (TSG). Furthermore, in the cancer samples, derived mutations in oncogenes usually lead to higher tAI/nitro ratios, while those mutations in TSG lead to lower tAI/nitro. For a special case of kidney cancer, we investigated several crucial genes in tumor samples versus normal samples, and discovered that the changes in tAI/nitro ratios are correlated with the changes in translation level. Our study for the first time revealed the optimization of cost-efficiency tradeoff in cancers. The cost-efficiency dilemma is optimized by the tumor cells, and is possibly beneficial for the translation and production of oncogenes, and eventually contributes to proliferation and oncogenesis. Our findings could provide novel perspectives in depicting the cancer genomes and might help unravel the cancer evolution.

Entities:  

Keywords:  Cost-efficiency tradeoff; Mutation; Optimization; The cancer genome atlas; Translation

Year:  2021        PMID: 33449159     DOI: 10.1007/s00438-020-01747-w

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


  7 in total

Review 1.  Codon catalog usage and the genome hypothesis.

Authors:  R Grantham; C Gautier; M Gouy; R Mercier; A Pavé
Journal:  Nucleic Acids Res       Date:  1980-01-11       Impact factor: 16.971

2.  Effects of shading on lignin biosynthesis in the leaf of tea plant (Camellia sinensis (L.) O. Kuntze).

Authors:  Rui-Min Teng; Yong-Xin Wang; Hui Li; Shi-Jia Lin; Hao Liu; Jing Zhuang
Journal:  Mol Genet Genomics       Date:  2020-10-28       Impact factor: 3.291

Review 3.  Codon usage and tRNA content in unicellular and multicellular organisms.

Authors:  T Ikemura
Journal:  Mol Biol Evol       Date:  1985-01       Impact factor: 16.240

4.  Mutational bias and translational selection shaping the codon usage pattern of tissue-specific genes in rice.

Authors:  Qingpo Liu
Journal:  PLoS One       Date:  2012-10-29       Impact factor: 3.240

5.  Dietary nitrogen alters codon bias and genome composition in parasitic microorganisms.

Authors:  Emily A Seward; Steven Kelly
Journal:  Genome Biol       Date:  2016-11-15       Impact factor: 13.583

6.  Selection-driven cost-efficiency optimization of transcripts modulates gene evolutionary rate in bacteria.

Authors:  Emily A Seward; Steven Kelly
Journal:  Genome Biol       Date:  2018-07-31       Impact factor: 13.583

7.  Parsing the synonymous mutations in the maize genome: isoaccepting mutations are more advantageous in regions with codon co-occurrence bias.

Authors:  Duan Chu; Lai Wei
Journal:  BMC Plant Biol       Date:  2019-10-14       Impact factor: 4.215

  7 in total
  7 in total

1.  Mutation profiling of a limbless pig reveals genome-wide regulation of RNA processing related to bone development.

Authors:  Yankai Jiang; Xinyue Cao; Haibin Wang
Journal:  J Appl Genet       Date:  2021-07-19       Impact factor: 3.240

2.  Evidence for selection on SARS-CoV-2 RNA translation revealed by the evolutionary dynamics of mutations in UTRs and CDSs.

Authors:  Lin Zhu; Qi Wang; Weiyu Zhang; Hao Hu; Kexin Xu
Journal:  RNA Biol       Date:  2022-01       Impact factor: 4.766

3.  The Sponge Interaction Between Circular RNA and microRNA Serves as a Fast-Evolving Mechanism That Suppresses Non-small Cell Lung Cancer (NSCLC) in Humans.

Authors:  Liqun Wu; Meiling Cao; Xiaoxin Pu; Baoyi Liu; Jinxiang Wang
Journal:  J Mol Evol       Date:  2022-08-29       Impact factor: 3.973

4.  An evolutionarily conserved mechanism that amplifies the effect of deleterious mutations in osteosarcoma.

Authors:  Yankai Jiang; Fuqun Ge; Guoyong Sun; Haibin Wang
Journal:  Mol Genet Genomics       Date:  2022-01-21       Impact factor: 3.291

5.  Synonymous mutations that regulate translation speed might play a non-negligible role in liver cancer development.

Authors:  Qun Li; Jian Li; Chun-Peng Yu; Shuai Chang; Ling-Ling Xie; Song Wang
Journal:  BMC Cancer       Date:  2021-04-09       Impact factor: 4.430

6.  SARS-CoV-2 competes with host mRNAs for efficient translation by maintaining the mutations favorable for translation initiation.

Authors:  Yanping Zhang; Xiaojie Jin; Haiyan Wang; Yaoyao Miao; Xiaoping Yang; Wenqing Jiang; Bin Yin
Journal:  J Appl Genet       Date:  2021-10-16       Impact factor: 3.240

7.  Genome-wide expression changes mediated by A-to-I RNA editing correlate with hepatic oncogenesis.

Authors:  Jian Li; Qun Li; Chun-Peng Yu; Shuai Chang; Ling-Ling Xie; Song Wang
Journal:  Transl Cancer Res       Date:  2021-06       Impact factor: 1.241

  7 in total

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