ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2008
Gene panel model predictive of outcome in men at high-risk of systemic progression and death from prostate cancer after radical retropubic prostatectomy.
Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.
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Who cites it
42 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The role of treatment modality on the utility of predictive tissue biomarkers in clinical prostate cancer: a systematic review.Journal of cancer research and clinical oncology · 2013Pooled it
- Pooled it
- BAZ2A-RNA mediated association with TOP2A and KDM1A represses genes implicated in prostate cancer.Life science alliance · 2023Article
- Signature for Prostate Cancer Based on Autophagy-Related Genes and a Nomogram for Quantitative Risk Stratification.Disease markers · 2022Article
- Limitations of Explainability for Established Prognostic Biomarkers of Prostate Cancer.Frontiers in genetics · 2021Article
- Establishment of Novel DNA Methylation-Based Prostate Cancer Subtypes and a Risk-Predicting Eight-Gene Signature.Frontiers in cell and developmental biology · 2021Article
- G9a-mediated repression of CDH10 in hypoxia enhances breast tumour cell motility and associates with poor survival outcome.Theranostics · 2020Article
- A Radiogenomic Approach for Decoding Molecular Mechanisms Underlying Tumor Progression in Prostate Cancer.Cancers · 2019Article
- Article
- Pixelated spatial gene expression analysis from tissue.Nature communications · 2018Article
- TOP2A and EZH2 Provide Early Detection of an Aggressive Prostate Cancer Subgroup.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017Article
- A four gene signature predictive of recurrent prostate cancer.Oncotarget · 2017Article
- Novel Nine-Exon AR Transcripts (Exon 1/Exon 1b/Exons 2-8) in Normal and Cancerous Breast and Prostate Cells.International journal of molecular sciences · 2016Article
- Novel Gene Expression Signature Predictive of Clinical Recurrence After Radical Prostatectomy in Early Stage Prostate Cancer Patients.The Prostate · 2016Article
- Biomarkers for prostate cancer: present challenges and future opportunities.Future science OA · 2016Review
- Hypoxia on the Expression of Hepatoma Upregulated Protein in Prostate Cancer Cells.Frontiers in oncology · 2016Article
- Expression profiling of prostate cancer tissue delineates genes associated with recurrence after prostatectomy.Scientific reports · 2015Article
- Antisense transcription at the TRPM2 locus as a novel prognostic marker and therapeutic target in prostate cancer.Oncogene · 2015Article
- Topoisomerase 2 Alpha Cooperates with Androgen Receptor to Contribute to Prostate Cancer Progression.PloS one · 2015Article
- Identification of proteomic biomarkers predicting prostate cancer aggressiveness and lethality despite biopsy-sampling error.British journal of cancer · 2014Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
purposeIn men who are at high-risk of prostate cancer, progression and death from cancer after radical retropubic prostatectomy (RRP), limited prognostic information is provided by established prognostic features. The objective of this study was to develop a model predictive of outcome in this group of patients.
methodsCandidate genes were identified from microarray expression data from 102 laser capture microdissected prostate tissue samples. Candidates were overexpressed in tumor compared with normal prostate and more frequently in Gleason patterns 4 and 5 than in 3. A case control study of 157 high-risk patients, matched on Gleason score and stage with systemic progression or death of prostate cancer as the end point, was used to evaluate the expression of candidate genes and build a multivariate model. Tumor was collected from the highest Gleason score in paraffin-embedded blocks and the gene expression was quantified by real-time reverse transcription polymerase chain reaction. Validation of the final model was performed on a separate case-control study of 57 high-risk patients who underwent RRP.
resultsA model incorporating gene expression of topoisomerase-2a, cadherin-10, the fusion status based on ERG, ETV1, and ETV4 expression, and the aneuploidy status resulted in a 0.81 area under the curve (AUC) in receiver operating characteristic statistical analysis for the identification of men with systemic progression and death from high grade prostate cancer. The AUC was 0.79 in the independent validation study.
conclusionThe model can identify men with high-risk prostate cancer who may benefit from more intensive postoperative follow-up and adjuvant therapies.
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