<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>13(11)</volume><submitter>Gal J</submitter><pubmed_abstract>The prospective multicenter COMET trial followed a cohort of 306 consecutive metastatic breast cancer patients receiving bevacizumab and paclitaxel as first-line chemotherapy. This study was intended to identify and validate reliable biomarkers to better predict bevacizumab treatment outcomes and allow for a more personalized use of this antiangiogenic agent. To that end, we aimed to establish risk scores for survival prognosis dichotomization based on classic clinico-pathological criteria combined or not with single nucleotide polymorphisms (SNPs). The genomic DNA of 306 patients was extracted and a panel of 13 SNPs, covering seven genes previously documented to be potentially involved in drug response, were analyzed by means of high-throughput genotyping. In receiver operating characteri</pubmed_abstract><journal>Pharmaceuticals (Basel, Switzerland)</journal><pagination>E414</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7700430</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>VEGF-Related Germinal Polymorphisms May Identify a Subgroup of Breast Cancer Patients with Favorable Outcome under Bevacizumab-Based Therapy-A Message from COMET, a French Unicancer Multicentric Study.</pubmed_title><pmcid>PMC7700430</pmcid><pubmed_authors>Desmoulins I</pubmed_authors><pubmed_authors>Merlano MC</pubmed_authors><pubmed_authors>Cottu PH</pubmed_authors><pubmed_authors>Milano G</pubmed_authors><pubmed_authors>Tredan O</pubmed_authors><pubmed_authors>Etienne-Grimaldi MC</pubmed_authors><pubmed_authors>Gal J</pubmed_authors><pubmed_authors>Goncalves A</pubmed_authors><pubmed_authors>Ebran N</pubmed_authors><pubmed_authors>Brest P</pubmed_authors><pubmed_authors>Chamorey E</pubmed_authors><pubmed_authors>Ferrero JM</pubmed_authors><pubmed_authors>Llorca L</pubmed_authors><pubmed_authors>Debled M</pubmed_authors><pubmed_authors>Brain E</pubmed_authors><pubmed_authors>Gilhodes J</pubmed_authors><pubmed_authors>Romieu G</pubmed_authors><pubmed_authors>Lemonnier J</pubmed_authors><pubmed_authors>Pierga JY</pubmed_authors><pubmed_authors>Dubot C</pubmed_authors></additional><is_claimable>false</is_claimable><name>VEGF-Related Germinal Polymorphisms May Identify a Subgroup of Breast Cancer Patients with Favorable Outcome under Bevacizumab-Based Therapy-A Message from COMET, a French Unicancer Multicentric Study.</name><description>The prospective multicenter COMET trial followed a cohort of 306 consecutive metastatic breast cancer patients receiving bevacizumab and paclitaxel as first-line chemotherapy. This study was intended to identify and validate reliable biomarkers to better predict bevacizumab treatment outcomes and allow for a more personalized use of this antiangiogenic agent. To that end, we aimed to establish risk scores for survival prognosis dichotomization based on classic clinico-pathological criteria combined or not with single nucleotide polymorphisms (SNPs). The genomic DNA of 306 patients was extracted and a panel of 13 SNPs, covering seven genes previously documented to be potentially involved in drug response, were analyzed by means of high-throughput genotyping. In receiver operating characteri</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Nov</publication><modification>2026-04-07T17:19:06.662Z</modification><creation>2021-02-20T03:03:57Z</creation></dates><accession>S-EPMC7700430</accession><cross_references><pubmed>33238394</pubmed><doi>10.3390/ph13110414</doi></cross_references></HashMap>