Article

Gene expression profiling predicts clinical outcome of prostate cancer

2004-03-15

Abstract excerpt

One of the major problems in management of prostate cancer is the lack of reliable genetic markers predicting the clinical course of the disease. We analyzed expression profiles of 12,625 transcripts in prostate tumors from patients with distinct clinical outcomes after therapy as well as metastatic human prostate cancer xenografts in nude mice. We identified small clusters of genes discriminating recurrent versus...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 11fc14bf-2b8d-57d3-9d83-3ad9637edd47
DOI: 10.1172/jci200420032

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Gene expression profiling predicts clinical outcome of prostate cancerDOI 10.1172/jci200420032Read

Expression profiling of prostate cancer tissue delineates genes associated with recurrence after prostatectomySemantic proximity Read

Global Transcriptome Analysis of Formalin-Fixed Prostate Cancer Specimens Identifies Biomarkers of Disease RecurrenceSemantic proximity Read

Optimizing molecular signatures for predicting prostate cancer recurrenceSemantic proximity Read

Gene expression profiling identifies clinically relevant subtypes of prostate cancerSemantic proximity Read

A novel immune-related gene-based prognostic signature to predict biochemical recurrence in patients with prostate cancer after radical prostatectomySemantic proximity Read

A Tumor Suppressor-Regulated Cell Cycle Derived Gene Signature is Prognostic of Recurrence Risk in Prostate CancerSemantic proximity Read

A seven-gene prognosis model to predict biochemical recurrence for prostate cancer based on the TCGA databaseSemantic proximity Read

5 Gleason score-associated gene signatures serve as novel biomarkers for identifying early recurring events and contributing to early diagnosis for Prostate AdenocarcinomaSemantic proximity Read

Machine learning-based identification of co-expressed genes in prostate cancer and CRPC and construction of prognostic modelsSemantic proximity Read

Identification and validation of a prognostic 5-protein signature for biochemical recurrence following radical prostatectomy in prostate cancerSemantic proximity Read

Expression Changes in the Stroma of Prostate Cancer Predict Subsequent RelapseSemantic proximity Read

Integrating Radiosensitivity Gene Signature Improves Prostate Cancer Outcome PredictionSemantic proximity Read