<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>3(4)</volume><submitter>Salter KH</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>A major challenge in oncology is the selection of the most effective chemotherapeutic agents for individual patients, while the administration of ineffective chemotherapy increases mortality and decreases quality of life in cancer patients. This emphasizes the need to evaluate every patient's probability of responding to each chemotherapeutic agent and limiting the agents used to those most likely to be effective.&lt;h4>Methods and results&lt;/h4>Using gene expression data on the NCI-60 and corresponding drug sensitivity, mRNA and microRNA profiles were developed representing sensitivity to individual chemotherapeutic agents. The mRNA signatures were tested in an independent cohort of 133 breast cancer patients treated with the TFAC (paclitaxel, 5-fluorouracil, adriamycin, and</pubmed_abstract><journal>PloS one</journal><pagination>e1908</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC2270912</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>An integrated approach to the prediction of chemotherapeutic response in patients with breast cancer.</pubmed_title><pmcid>PMC2270912</pmcid><pubmed_authors>Acharya CR</pubmed_authors><pubmed_authors>Salter KH</pubmed_authors><pubmed_authors>Anguiano A</pubmed_authors><pubmed_authors>Nevins JR</pubmed_authors><pubmed_authors>Marcom KP</pubmed_authors><pubmed_authors>Dressman HK</pubmed_authors><pubmed_authors>Redman R</pubmed_authors><pubmed_authors>Barry WT</pubmed_authors><pubmed_authors>Mukherjee S</pubmed_authors><pubmed_authors>Garman KS</pubmed_authors><pubmed_authors>Anders CK</pubmed_authors><pubmed_authors>Walters KS</pubmed_authors><pubmed_authors>Potti A</pubmed_authors><pubmed_authors>Olson J</pubmed_authors></additional><is_claimable>false</is_claimable><name>An integrated approach to the prediction of chemotherapeutic response in patients with breast cancer.</name><description>&lt;h4>Background&lt;/h4>A major challenge in oncology is the selection of the most effective chemotherapeutic agents for individual patients, while the administration of ineffective chemotherapy increases mortality and decreases quality of life in cancer patients. This emphasizes the need to evaluate every patient's probability of responding to each chemotherapeutic agent and limiting the agents used to those most likely to be effective.&lt;h4>Methods and results&lt;/h4>Using gene expression data on the NCI-60 and corresponding drug sensitivity, mRNA and microRNA profiles were developed representing sensitivity to individual chemotherapeutic agents. The mRNA signatures were tested in an independent cohort of 133 breast cancer patients treated with the TFAC (paclitaxel, 5-fluorouracil, adriamycin, and</description><dates><release>2008-01-01T00:00:00Z</release><publication>2008 Apr</publication><modification>2026-05-29T16:00:40.311Z</modification><creation>2025-08-31T03:08:36.022Z</creation></dates><accession>S-EPMC2270912</accession><cross_references><pubmed>18382681</pubmed><doi>10.1371/journal.pone.0001908</doi></cross_references></HashMap>