<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>19(1)</volume><submitter>Ozcan G</submitter><pubmed_abstract>&lt;h4>Objective&lt;/h4>Taxane-based neoadjuvant chemotherapy is the most common neoadjuvant approach in breast cancer, especially in human epidermal growth factor receptor 2 (HER2)-positive and triple-negative subtypes. However, chemoresistance is a problem in many patients, and success rates are low in estrogen receptor (ER)-positive breast cancer. The aim of this study was to identify predictive markers for resistance to taxane-based therapy, which may have a potential as therapeutic targets in breast cancer.&lt;h4>Materials and methods&lt;/h4>Three comprehensive breast cancer Gene Expression Omnibus datasets were analyzed to identify differentially expressed genes (DEGs) in breast cancer patients resistant to taxane-based neoadjuvant chemotherapy. Functional annotation clustering and enrichment an</pubmed_abstract><journal>European journal of breast health</journal><pagination>45-54</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9806940</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>&lt;i>SCUBE2&lt;/i> as a Marker of Resistance to Taxane-based Neoadjuvant Chemotherapy and a Potential Therapeutic Target in Breast Cancer.</pubmed_title><pmcid>PMC9806940</pmcid><pubmed_authors>Ozcan G</pubmed_authors></additional><is_claimable>false</is_claimable><name>&lt;i>SCUBE2&lt;/i> as a Marker of Resistance to Taxane-based Neoadjuvant Chemotherapy and a Potential Therapeutic Target in Breast Cancer.</name><description>&lt;h4>Objective&lt;/h4>Taxane-based neoadjuvant chemotherapy is the most common neoadjuvant approach in breast cancer, especially in human epidermal growth factor receptor 2 (HER2)-positive and triple-negative subtypes. However, chemoresistance is a problem in many patients, and success rates are low in estrogen receptor (ER)-positive breast cancer. The aim of this study was to identify predictive markers for resistance to taxane-based therapy, which may have a potential as therapeutic targets in breast cancer.&lt;h4>Materials and methods&lt;/h4>Three comprehensive breast cancer Gene Expression Omnibus datasets were analyzed to identify differentially expressed genes (DEGs) in breast cancer patients resistant to taxane-based neoadjuvant chemotherapy. Functional annotation clustering and enrichment an</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jan</publication><modification>2025-04-04T08:33:47.933Z</modification><creation>2025-04-04T08:33:47.933Z</creation></dates><accession>S-EPMC9806940</accession><cross_references><pubmed>36605472</pubmed><doi>10.4274/ejbh.galenos.2022.2022-8-2</doi></cross_references></HashMap>