Literature DB >> 12814603

Mutation load, functional overlap, and synthetic lethality in the evolution and treatment of cancer.

Alexander Kamb1.   

Abstract

The efficacy of conventional anti-cancer drugs is puzzling in view of the ubiquitous tissue distribution and vital nature of their targets. Differences in cell cycling rates are not thought sufficient to explain chemotherapeutic selectivity. I suggest an alternative possibility based on the combinatorial effects of mutations in cancer cells. This model incorporates the concepts of synthetic-lethal interactions and mutation loads to explain the drug sensitivity of cancer cells. From this perspective, drugs that target complex processes that utilize genetically redundant or overlapping components, such as DNA replication and chromosome segregation, offer attractive target opportunities.

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Year:  2003        PMID: 12814603     DOI: 10.1016/s0022-5193(03)00087-0

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  6 in total

1.  Combining biological networks to predict genetic interactions.

Authors:  Sharyl L Wong; Lan V Zhang; Amy H Y Tong; Zhijian Li; Debra S Goldberg; Oliver D King; Guillaume Lesage; Marc Vidal; Brenda Andrews; Howard Bussey; Charles Boone; Frederick P Roth
Journal:  Proc Natl Acad Sci U S A       Date:  2004-10-20       Impact factor: 11.205

Review 2.  Exploiting synthetic lethal interactions for targeted cancer therapy.

Authors:  H Christian Reinhardt; Hai Jiang; Michael T Hemann; Michael B Yaffe
Journal:  Cell Cycle       Date:  2009-10-01       Impact factor: 4.534

3.  A CRISPR Interference of CBP and p300 Selectively Induced Synthetic Lethality in Bladder Cancer Cells In Vitro.

Authors:  Jianfa Li; ChenChen Huang; Tiefu Xiong; Changshui Zhuang; Chengle Zhuang; Yawen Li; Jing Ye; Yaoting Gui
Journal:  Int J Biol Sci       Date:  2019-05-11       Impact factor: 6.580

Review 4.  Emerging Role of PARP Inhibitors in Metastatic Triple Negative Breast Cancer. Current Scenario and Future Perspectives.

Authors:  Giacomo Barchiesi; Michela Roberto; Monica Verrico; Patrizia Vici; Silverio Tomao; Federica Tomao
Journal:  Front Oncol       Date:  2021-11-25       Impact factor: 6.244

5.  Genome-scale gene/reaction essentiality and synthetic lethality analysis.

Authors:  Patrick F Suthers; Alireza Zomorrodi; Costas D Maranas
Journal:  Mol Syst Biol       Date:  2009-08-18       Impact factor: 11.429

6.  Human synthetic lethal inference as potential anti-cancer target gene detection.

Authors:  Nuria Conde-Pueyo; Andreea Munteanu; Ricard V Solé; Carlos Rodríguez-Caso
Journal:  BMC Syst Biol       Date:  2009-12-16
  6 in total

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