<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Sonnenblick A</submitter><funding>Cancer Foundation Finland sr</funding><pagination>30306-16</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4745800</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>6(30)</volume><pubmed_abstract>Trastuzumab is a remarkably effective therapy for patients with human epidermal growth factor receptor 2 (HER2)--positive breast cancer (BC). However, not all women with high levels of HER2 benefit from trastuzumab. By integrating mRNA and protein expression data from Reverse-Phase Protein Array Analysis (RPPA) in HER2-positive BC, we developed gene expression metagenes that reflect pathway activation levels. Next we assessed the ability of these metagenes to predict resistance to adjuvant trastuzumab using gene expression data from two independent datasets.10 metagenes passed external validation (false discovery rate [fdr] &lt; 0.05) and showed biological relevance with their pathway of origin. These metagenes were further screened for their association with trastuzumab resistance. An associ</pubmed_abstract><journal>Oncotarget</journal><pubmed_title>Integrative proteomic and gene expression analysis identify potential biomarkers for adjuvant trastuzumab resistance: analysis from the Fin-her phase III randomized trial.</pubmed_title><pmcid>PMC4745800</pmcid><funding_grant_id>120084</funding_grant_id><funding_grant_id>110071</funding_grant_id><funding_grant_id>130093</funding_grant_id><funding_grant_id>150084</funding_grant_id><pubmed_authors>Denkert C</pubmed_authors><pubmed_authors>Rothe F</pubmed_authors><pubmed_authors>Sotiriou C</pubmed_authors><pubmed_authors>Fumagalli D</pubmed_authors><pubmed_authors>Joensuu H</pubmed_authors><pubmed_authors>Desmedt C</pubmed_authors><pubmed_authors>Piccart M</pubmed_authors><pubmed_authors>Neven P</pubmed_authors><pubmed_authors>Ignatiadis M</pubmed_authors><pubmed_authors>Sonnenblick A</pubmed_authors><pubmed_authors>Salgado R</pubmed_authors><pubmed_authors>Brohee S</pubmed_authors><pubmed_authors>Loibl S</pubmed_authors><pubmed_authors>Loi S</pubmed_authors><pubmed_authors>Sirtaine N</pubmed_authors><pubmed_authors>Vincent D</pubmed_authors></additional><is_claimable>false</is_claimable><name>Integrative proteomic and gene expression analysis identify potential biomarkers for adjuvant trastuzumab resistance: analysis from the Fin-her phase III randomized trial.</name><description>Trastuzumab is a remarkably effective therapy for patients with human epidermal growth factor receptor 2 (HER2)--positive breast cancer (BC). However, not all women with high levels of HER2 benefit from trastuzumab. By integrating mRNA and protein expression data from Reverse-Phase Protein Array Analysis (RPPA) in HER2-positive BC, we developed gene expression metagenes that reflect pathway activation levels. Next we assessed the ability of these metagenes to predict resistance to adjuvant trastuzumab using gene expression data from two independent datasets.10 metagenes passed external validation (false discovery rate [fdr] &lt; 0.05) and showed biological relevance with their pathway of origin. These metagenes were further screened for their association with trastuzumab resistance. An associ</description><dates><release>2015-01-01T00:00:00Z</release><publication>2015 Oct</publication><modification>2026-05-05T17:51:29.18Z</modification><creation>2025-05-29T22:29:55.302Z</creation></dates><accession>S-EPMC4745800</accession><cross_references><pubmed>26358523</pubmed><doi>10.18632/oncotarget.5080</doi></cross_references></HashMap>