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Pathway level alterations rather than mutations in single genes predict response to HER2-targeted therapies in the neo-ALTTO trial.


ABSTRACT: Background:We performed whole-exome sequencing of pretreatment biopsies and examined whether genome-wide metrics of overall mutational load, clonal heterogeneity or alterations at variant, gene, and pathway levels are associated with treatment response and survival. Patients and Methods:Two hundred and three biopsies from the NeoALTTO trial were analyzed. Mutations were called with MuTect, and Strelka, using pooled normal DNA. Associations between DNA alterations and outcome were evaluated by logistic and Cox-proportional hazards regression. Results:There were no recurrent single gene mutations significantly associated with pathologic complete response (pCR), except PIK3CA [odds ratio (OR)?=?0.42, P?=?0.0185]. Mutations in 33 of 714 pathways were significantly associated with response, but different genes were affected in different individuals. PIK3CA was present in 23 of these pathways defining a ‘trastuzumab resistance-network’ of 459 genes. Cases with mutations in this network had low pCR rates to trastuzumab (2/50, 4%) compared with cases with no mutations (9/16, 56%), OR?=?0.035; P?

SUBMITTER: Shi W 

PROVIDER: S-EPMC5834036 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature

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Pathway level alterations rather than mutations in single genes predict response to HER2-targeted therapies in the neo-ALTTO trial.

Shi W W   Jiang T T   Nuciforo P P   Hatzis C C   Holmes E E   Harbeck N N   Sotiriou C C   Peña L L   Loi S S   Rosa D D DD   Chia S S   Wardley A A   Ueno T T   Rossari J J   Eidtmann H H   Armour A A   Piccart-Gebhart M M   Rimm D L DL   Baselga J J   Pusztai L L  

Annals of oncology : official journal of the European Society for Medical Oncology 20170101 1


<h4>Background</h4>We performed whole-exome sequencing of pretreatment biopsies and examined whether genome-wide metrics of overall mutational load, clonal heterogeneity or alterations at variant, gene, and pathway levels are associated with treatment response and survival.<h4>Patients and methods</h4>Two hundred and three biopsies from the NeoALTTO trial were analyzed. Mutations were called with MuTect, and Strelka, using pooled normal DNA. Associations between DNA alterations and outcome were  ...[more]

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