Literature DB >> 23074264

The response of cancers to BRAF inhibition underscores the importance of cancer systems biology.

Edward C Stites1.   

Abstract

The BRAF inhibitor vemurafenib has become an important treatment option for melanoma patients, the majority of whom have a BRAF(V600E) mutation driving their malignancy. However, this same agent does not generally benefit colon cancer patients who have the BRAF(V600E) mutation. Recent work suggests that BRAF(V600E) inhibition by vemurafenib results in decreased negative feedback to the epidermal growth factor receptor (EGFR) pathway and that the different clinical responses are due to differences in the amount of EGFR present in these two cancers. The experimental work that identified the feedback signaling was an elegant mix of functional genomic approaches and focused, hypothesis-driven cellular and molecular biology. The results of these studies suggest that combined treatment of BRAF(V600E)-driven colon cancers with both vemurafenib and EGFR inhibitors is worth clinical evaluation.

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Year:  2012        PMID: 23074264     DOI: 10.1126/scisignal.2003354

Source DB:  PubMed          Journal:  Sci Signal        ISSN: 1945-0877            Impact factor:   8.192


  10 in total

Review 1.  Rule-based modeling: a computational approach for studying biomolecular site dynamics in cell signaling systems.

Authors:  Lily A Chylek; Leonard A Harris; Chang-Shung Tung; James R Faeder; Carlos F Lopez; William S Hlavacek
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-09-30

2.  Transposon mutagenesis identifies genetic drivers of Braf(V600E) melanoma.

Authors:  Michael B Mann; Michael A Black; Devin J Jones; Jerrold M Ward; Christopher Chin Kuan Yew; Justin Y Newberg; Adam J Dupuy; Alistair G Rust; Marcus W Bosenberg; Martin McMahon; Cristin G Print; Neal G Copeland; Nancy A Jenkins
Journal:  Nat Genet       Date:  2015-04-13       Impact factor: 38.330

3.  mTOR signaling feedback modulates mammary epithelial differentiation and restrains invasion downstream of PTEN loss.

Authors:  Susmita Ghosh; Lidenys Varela; Akshay Sood; Ben Ho Park; Tamara L Lotan
Journal:  Cancer Res       Date:  2013-06-17       Impact factor: 12.701

Review 4.  Prospects and pitfalls of personalizing therapies for sarcomas: from children, adolescents, and young adults to the elderly.

Authors:  Vivek Subbiah
Journal:  Curr Oncol Rep       Date:  2014-09       Impact factor: 5.075

5.  Mathematical Modeling to Study KRAS Mutant-Specific Responses to Pathway Inhibition.

Authors:  Edward C Stites
Journal:  Methods Mol Biol       Date:  2021

6.  Modelling bistable tumour population dynamics to design effective treatment strategies.

Authors:  Andrei R Akhmetzhanov; Jong Wook Kim; Ryan Sullivan; Robert A Beckman; Pablo Tamayo; Chen-Hsiang Yeang
Journal:  J Theor Biol       Date:  2019-05-09       Impact factor: 2.405

7.  The multitude of molecular analyses in cancer: the opening of Pandora’s box.

Authors:  Hege G Russnes; Per E Lønning; Anne-Lise Børresen-Dale; Ole C Lingjærde
Journal:  Genome Biol       Date:  2014       Impact factor: 13.583

8.  Predicting Drug Combination Index and Simulating the Network-Regulation Dynamics by Mathematical Modeling of Drug-Targeted EGFR-ERK Signaling Pathway.

Authors:  Lu Huang; Yuyang Jiang; Yuzong Chen
Journal:  Sci Rep       Date:  2017-01-19       Impact factor: 4.379

9.  On the Bayesian Derivation of a Treatment-based Cancer Ontology.

Authors:  Michael Gao; Jeremy Warner; Peter Yang; Gil Alterovitz
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2014-04-07

10.  Immunomediated Pan-cancer Regulation Networks are Dominant Fingerprints After Treatment of Cell Lines with Demethylation.

Authors:  Mariama El Baroudi; Caterina Cinti; Enrico Capobianco
Journal:  Cancer Inform       Date:  2016-04-27
  10 in total

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