Literature DB >> 22753356

Oncogenic potential is related to activating effect of cancer single and double somatic mutations in receptor tyrosine kinases.

Kosuke Hashimoto1, Igor B Rogozin, Anna R Panchenko.   

Abstract

Aberrant activation of receptor tyrosine kinases (RTKs) is a common feature of many cancer cells. It was previously suggested that the mechanisms of kinase activation in cancer might be linked to transitions between active and inactive states. Here, we estimate the effects of single and double cancer mutations on the stability of active and inactive states of the kinase domains from different RTKs. We show that singleton cancer mutations destabilize active and inactive states; however, inactive states are destabilized more than the active ones, leading to kinase activation. We show that there exists a relationship between the estimate of oncogenic potential of cancer mutation and kinase activation. Namely, more frequent mutations have a higher activating effect, which might allow us to predict the activating effect of the mutations from the mutation spectra. Independent evolutionary analysis of mutation spectra complements this observation and finds the same frequency threshold defining mutation hotspots. We analyze double mutations and report a positive epistasis and additional advantage of doublets with respect to cancer cell fitness. The activation mechanisms of double mutations differ from those of single mutations and double mutation spectrum is found to be dissimilar to the mutation spectrum of singletons. Published 2012 Wiley Periodicals, Inc.*This article is a US Government work and, as such, is in the public domain of the United States of America.

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Year:  2012        PMID: 22753356      PMCID: PMC3465464          DOI: 10.1002/humu.22145

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  71 in total

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2.  Evidence that proximal multiple mutations in Big Blue transgenic mice are dependent events.

Authors:  V L Buettner; K A Hill; W A Scaringe; S S Sommer
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3.  Predicting changes in the stability of proteins and protein complexes: a study of more than 1000 mutations.

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4.  Predicting folding free energy changes upon single point mutations.

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Journal:  Science       Date:  1908-07-10       Impact factor: 47.728

6.  The neighbor-joining method: a new method for reconstructing phylogenetic trees.

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7.  Multiple point mutations in a shuttle vector propagated in human cells: evidence for an error-prone DNA polymerase activity.

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9.  Cancer-associated mutations are preferentially distributed in protein kinase functional sites.

Authors:  Jose M G Izarzugaza; Oliver C Redfern; Christine A Orengo; Alfonso Valencia
Journal:  Proteins       Date:  2009-12

Review 10.  Insights into protein kinase regulation and inhibition by large scale structural comparison.

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Journal:  Biochim Biophys Acta       Date:  2009-10-22
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  13 in total

1.  Effects of oncogenic mutations on the conformational free-energy landscape of EGFR kinase.

Authors:  Ludovico Sutto; Francesco Luigi Gervasio
Journal:  Proc Natl Acad Sci U S A       Date:  2013-06-10       Impact factor: 11.205

2.  Annotating Mutational Effects on Proteins and Protein Interactions: Designing Novel and Revisiting Existing Protocols.

Authors:  Minghui Li; Alexander Goncearenco; Anna R Panchenko
Journal:  Methods Mol Biol       Date:  2017

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Journal:  Biochemistry       Date:  2016-12-22       Impact factor: 3.162

Review 4.  Molecular mechanisms of disease-causing missense mutations.

Authors:  Shannon Stefl; Hafumi Nishi; Marharyta Petukh; Anna R Panchenko; Emil Alexov
Journal:  J Mol Biol       Date:  2013-07-16       Impact factor: 5.469

5.  Balancing Protein Stability and Activity in Cancer: A New Approach for Identifying Driver Mutations Affecting CBL Ubiquitin Ligase Activation.

Authors:  Minghui Li; Stephen C Kales; Ke Ma; Benjamin A Shoemaker; Juan Crespo-Barreto; Andrew L Cangelosi; Stanley Lipkowitz; Anna R Panchenko
Journal:  Cancer Res       Date:  2015-12-16       Impact factor: 12.701

6.  Effect of double mutations T790M/L858R on conformation and drug-resistant mechanism of epidermal growth factor receptor explored by molecular dynamics simulations.

Authors:  Fangfang Yan; Xinguo Liu; Shaolong Zhang; Jing Su; Qinggang Zhang; Jianzhong Chen
Journal:  RSC Adv       Date:  2018-11-29       Impact factor: 4.036

7.  ProKinO: a unified resource for mining the cancer kinome.

Authors:  Daniel Ian McSkimming; Shima Dastgheib; Eric Talevich; Anish Narayanan; Samiksha Katiyar; Susan S Taylor; Krys Kochut; Natarajan Kannan
Journal:  Hum Mutat       Date:  2015-02       Impact factor: 4.878

8.  Prediction and prioritization of rare oncogenic mutations in the cancer Kinome using novel features and multiple classifiers.

Authors:  ManChon U; Eric Talevich; Samiksha Katiyar; Khaled Rasheed; Natarajan Kannan
Journal:  PLoS Comput Biol       Date:  2014-04-17       Impact factor: 4.475

9.  Predicting the Impact of Missense Mutations on Protein-Protein Binding Affinity.

Authors:  Minghui Li; Marharyta Petukh; Emil Alexov; Anna R Panchenko
Journal:  J Chem Theory Comput       Date:  2014-02-27       Impact factor: 6.006

10.  The structural pathway of interleukin 1 (IL-1) initiated signaling reveals mechanisms of oncogenic mutations and SNPs in inflammation and cancer.

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Journal:  PLoS Comput Biol       Date:  2014-02-13       Impact factor: 4.475

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