biostudies-literatureLi YNational Natural Science Foundation of China49https://www.ebi.ac.uk/biostudies/studies/S-EPMC10854045biostudies-literatureUnknown22(1)<h4>Background</h4>TMPRSS2-ERG (T2E) fusion is highly related to aggressive clinical features in prostate cancer (PC), which guides individual therapy. However, current fusion prediction tools lacked enough accuracy and biomarkers were unable to be applied to individuals across different platforms due to their quantitative nature. This study aims to identify a transcriptome signature to detect the T2E fusion status of PC at the individual level.<h4>Methods</h4>Based on 272 high-throughput mRNA expression profiles from the Sboner dataset, we developed a rank-based algorithm to identify a qualitative signature to detect T2E fusion in PC. The signature was validated in 1223 samples from three external datasets (Setlur, Clarissa, and TCGA).<h4>Results</h4>A signature, composed of five mRNAs coWorld journal of surgical oncologyIndividualized detection of TMPRSS2-ERG fusion status in prostate cancer: a rank-based qualitative transcriptome signature.PMC1085404532270710Li YLiu KXia JHuang DSGu YWang YYuan HSu HZhao ZChen BfalseIndividualized detection of TMPRSS2-ERG fusion status in prostate cancer: a rank-based qualitative transcriptome signature.<h4>Background</h4>TMPRSS2-ERG (T2E) fusion is highly related to aggressive clinical features in prostate cancer (PC), which guides individual therapy. However, current fusion prediction tools lacked enough accuracy and biomarkers were unable to be applied to individuals across different platforms due to their quantitative nature. This study aims to identify a transcriptome signature to detect the T2E fusion status of PC at the individual level.<h4>Methods</h4>Based on 272 high-throughput mRNA expression profiles from the Sboner dataset, we developed a rank-based algorithm to identify a qualitative signature to detect T2E fusion in PC. The signature was validated in 1223 samples from three external datasets (Setlur, Clarissa, and TCGA).<h4>Results</h4>A signature, composed of five mRNAs co2024-01-01T00:00:00Z2024 Feb2026-05-29T10:08:20.016Z2025-04-05T14:51:36.927ZS-EPMC108540453833187810.1186/s12957-024-03314-8