<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Smith NG</submitter><funding>Breast Cancer Research Foundation</funding><funding>Susan G Komen</funding><funding>Fashion Footware Association of New York</funding><funding>Glimmer of Hope</funding><funding>NCI NIH HHS</funding><pagination>22</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6368740</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>21(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Breast cancer is the most common invasive cancer among women worldwide. Next-generation sequencing (NGS) has revolutionized the study of cancer across research labs around the globe; however, genomic testing in clinical settings remains limited. Advances in sequencing reliability, pipeline analysis, accumulation of relevant data, and the reduction of costs are rapidly increasing the feasibility of NGS-based clinical decision making.&lt;h4>Methods&lt;/h4>We report the development of MammaSeq, a breast cancer-specific NGS panel, targeting 79 genes and 1369 mutations, optimized for use in primary and metastatic breast cancer. To validate the panel, 46 solid tumors and 14 plasma circulating tumor DNA (ctDNA) samples were sequenced to a mean depth of 2311× and 1820×, respectively. </pubmed_abstract><journal>Breast cancer research : BCR</journal><pubmed_title>Targeted mutation detection in breast cancer using MammaSeq™.</pubmed_title><pmcid>PMC6368740</pmcid><funding_grant_id>P30 CA047904</funding_grant_id><funding_grant_id>Not applicable</funding_grant_id><pubmed_authors>Wald AI</pubmed_authors><pubmed_authors>Nikiforov YE</pubmed_authors><pubmed_authors>Lee AV</pubmed_authors><pubmed_authors>Puhalla S</pubmed_authors><pubmed_authors>Lucas PC</pubmed_authors><pubmed_authors>Brufsky AM</pubmed_authors><pubmed_authors>Shah OS</pubmed_authors><pubmed_authors>Gurda GT</pubmed_authors><pubmed_authors>Oesterreich S</pubmed_authors><pubmed_authors>Hartmaier RJ</pubmed_authors><pubmed_authors>Kota K</pubmed_authors><pubmed_authors>Nikiforova MN</pubmed_authors><pubmed_authors>Bahreini A</pubmed_authors><pubmed_authors>Gyanchandani R</pubmed_authors><pubmed_authors>Smith NG</pubmed_authors></additional><is_claimable>false</is_claimable><name>Targeted mutation detection in breast cancer using MammaSeq™.</name><description>&lt;h4>Background&lt;/h4>Breast cancer is the most common invasive cancer among women worldwide. Next-generation sequencing (NGS) has revolutionized the study of cancer across research labs around the globe; however, genomic testing in clinical settings remains limited. Advances in sequencing reliability, pipeline analysis, accumulation of relevant data, and the reduction of costs are rapidly increasing the feasibility of NGS-based clinical decision making.&lt;h4>Methods&lt;/h4>We report the development of MammaSeq, a breast cancer-specific NGS panel, targeting 79 genes and 1369 mutations, optimized for use in primary and metastatic breast cancer. To validate the panel, 46 solid tumors and 14 plasma circulating tumor DNA (ctDNA) samples were sequenced to a mean depth of 2311× and 1820×, respectively. </description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Feb</publication><modification>2026-07-16T20:30:25.518Z</modification><creation>2026-07-10T03:09:25.31Z</creation></dates><accession>S-EPMC6368740</accession><cross_references><pubmed>30736836</pubmed><doi>10.1186/s13058-019-1102-7</doi></cross_references></HashMap>