{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Kobelyatskaya AA"],"funding":["Russian Science Foundation"],"pagination":["11695"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9569942"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["23(19)"],"pubmed_abstract":["Following radical surgery, patients may suffer a relapse. It is important to identify such patients so that therapy tactics can be modified appropriately. Existing stratification schemes do not display the probability of recurrence with enough precision since locally advanced prostate cancer (PCa) is classified as high-risk but is not ranked in greater detail. Between 40 and 50% of PCa cases belong to the TMPRSS2-ERG subtype that is a sufficiently homogeneous group for high-precision prognostic marker search to be possible. This study includes two independent cohorts and is based on high throughput sequencing and qPCR data. As a result, we have been able to suggest a perspective-trained model involving a deep neural network based on both qPCR data for mRNA and miRNA and clinicopathological"],"journal":["International journal of molecular sciences"],"pubmed_title":["<i>ALDH3A2</i>, <i>ODF2</i>, <i>QSOX2</i>, and MicroRNA-503-5p Expression to Forecast Recurrence in <i>TMPRSS2-ERG</i>-Positive Prostate Cancer."],"pmcid":["PMC9569942"],"funding_grant_id":["18-75-10127"],"pubmed_authors":["Nyushko KM","Kobelyatskaya AA","Kudryavtsev AA","Fedorova MS","Guvatova ZG","Pudova EA","Naberezhnev PA","Krasnov GS","Alekseev BY","Kudryavtseva AV","Bulavkina EV","Snezhkina AV","Kalinin DV","Pavlov VS"],"additional_accession":[]},"is_claimable":false,"name":"<i>ALDH3A2</i>, <i>ODF2</i>, <i>QSOX2</i>, and MicroRNA-503-5p Expression to Forecast Recurrence in <i>TMPRSS2-ERG</i>-Positive Prostate Cancer.","description":"Following radical surgery, patients may suffer a relapse. It is important to identify such patients so that therapy tactics can be modified appropriately. Existing stratification schemes do not display the probability of recurrence with enough precision since locally advanced prostate cancer (PCa) is classified as high-risk but is not ranked in greater detail. Between 40 and 50% of PCa cases belong to the TMPRSS2-ERG subtype that is a sufficiently homogeneous group for high-precision prognostic marker search to be possible. This study includes two independent cohorts and is based on high throughput sequencing and qPCR data. As a result, we have been able to suggest a perspective-trained model involving a deep neural network based on both qPCR data for mRNA and miRNA and clinicopathological","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Oct","modification":"2026-04-08T11:31:40.373Z","creation":"2024-12-04T12:34:07.465Z"},"accession":"S-EPMC9569942","cross_references":{"pubmed":["36232996"],"doi":["10.3390/ijms231911695"]}}