<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Spratt DE</submitter><funding>NCI NIH HHS</funding><pagination>370-377</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10949135</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>117(2)</volume><pubmed_abstract>&lt;h4>Purpose&lt;/h4>Intermediate-risk prostate cancer is a heterogeneous disease state with diverse treatment options. The 22-gene Decipher genomic classifier (GC) retrospectively has shown to improve risk stratification in these patients. We assessed the performance of the GC in men with intermediate-risk disease enrolled in NRG Oncology/RTOG 01-26 with updated follow-up.&lt;h4>Methods and materials&lt;/h4>After National Cancer Institute approval, biopsy slides were collected from NRG Oncology/RTOG 01-26, a randomized phase 3 trial of men with intermediate-risk prostate cancer randomized to 70.2 Gy versus 79.2 Gy of radiation therapy without androgen deprivation therapy. RNA was extracted from the highest-grade tumor foci to generate the locked 22-gene GC model. The primary endpoint for this ancill</pubmed_abstract><journal>International journal of radiation oncology, biology, physics</journal><pubmed_title>Genomic Classifier Performance in Intermediate-Risk Prostate Cancer: Results From NRG Oncology/RTOG 0126 Randomized Phase 3 Trial.</pubmed_title><pmcid>PMC10949135</pmcid><funding_grant_id>R01 CA240991</funding_grant_id><funding_grant_id>R21 CA274500</funding_grant_id><funding_grant_id>UG1 CA189867</funding_grant_id><funding_grant_id>UG1 CA233234</funding_grant_id><funding_grant_id>U24 CA196067</funding_grant_id><funding_grant_id>U10 CA180868</funding_grant_id><funding_grant_id>U10 CA180822</funding_grant_id><funding_grant_id>U01 CA257638</funding_grant_id><pubmed_authors>Robertson JM</pubmed_authors><pubmed_authors>Spratt DE</pubmed_authors><pubmed_authors>Efstathiou JA</pubmed_authors><pubmed_authors>Tran PT</pubmed_authors><pubmed_authors>Davicioni E</pubmed_authors><pubmed_authors>Michalski J</pubmed_authors><pubmed_authors>Thompson DJS</pubmed_authors><pubmed_authors>Parliament MB</pubmed_authors><pubmed_authors>Dayes IS</pubmed_authors><pubmed_authors>Correa RJM</pubmed_authors><pubmed_authors>Berlin A</pubmed_authors><pubmed_authors>Simko JP</pubmed_authors><pubmed_authors>Sandler HM</pubmed_authors><pubmed_authors>Liu VYT</pubmed_authors><pubmed_authors>Vigneault E</pubmed_authors><pubmed_authors>Feng FY</pubmed_authors><pubmed_authors>Gore EM</pubmed_authors><pubmed_authors>Souhami L</pubmed_authors><pubmed_authors>Karrison TG</pubmed_authors><pubmed_authors>Hall WA</pubmed_authors><pubmed_authors>Doncals DE</pubmed_authors></additional><is_claimable>false</is_claimable><name>Genomic Classifier Performance in Intermediate-Risk Prostate Cancer: Results From NRG Oncology/RTOG 0126 Randomized Phase 3 Trial.</name><description>&lt;h4>Purpose&lt;/h4>Intermediate-risk prostate cancer is a heterogeneous disease state with diverse treatment options. The 22-gene Decipher genomic classifier (GC) retrospectively has shown to improve risk stratification in these patients. We assessed the performance of the GC in men with intermediate-risk disease enrolled in NRG Oncology/RTOG 01-26 with updated follow-up.&lt;h4>Methods and materials&lt;/h4>After National Cancer Institute approval, biopsy slides were collected from NRG Oncology/RTOG 01-26, a randomized phase 3 trial of men with intermediate-risk prostate cancer randomized to 70.2 Gy versus 79.2 Gy of radiation therapy without androgen deprivation therapy. RNA was extracted from the highest-grade tumor foci to generate the locked 22-gene GC model. The primary endpoint for this ancill</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Oct</publication><modification>2026-06-01T13:46:22.967Z</modification><creation>2025-04-04T13:41:35.863Z</creation></dates><accession>S-EPMC10949135</accession><cross_references><pubmed>37137444</pubmed><doi>10.1016/j.ijrobp.2023.04.010</doi></cross_references></HashMap>