Malignant field signature analysis in biopsy samples at diagnosis identifies lethal disease in patients with localized Gleason 6 and 7 prostate cancer
Gennadi Glinsky

TL;DR
This study develops a 98-gene expression signature that predicts lethal prostate cancer in biopsy samples at diagnosis, enabling better risk stratification and treatment decisions for patients with Gleason 6 and 7 tumors.
Contribution
The paper introduces a novel 98-gene signature that accurately predicts lethal prostate cancer from biopsy samples at diagnosis, capturing malignant field effects even with minimal cancer cell presence.
Findings
98-gene signature predicts 89-100% of death events within 4-6 years.
Signature performs well with as little as 2% cancer cells in biopsy.
Effective in stratifying patients by age and risk, aiding clinical decision-making.
Abstract
Overtreatment of early-stage low-risk prostate cancer (PC) patients represents a significant problem in disease management and has socio-economic implications. Development of genetic and molecular markers of clinically significant disease in patients diagnosed with low grade localized PC would have a major impact in disease management. A gene expression signature (GES) is reported for lethal PC in biopsy specimens obtained at the time of diagnosis from patients with Gleason 6 and Gleason 7 tumors in a Swedish watchful waiting cohort with up to 30 years follow-up. A 98-genes GES identified 89 and 100 percent of all death events 4 years after diagnosis in G7 and G6 patients, respectively; at 6 years follow-up, 83 and 100 percent of all deaths events were captured. Remarkably, the 98-genes GES appears to perform successfully in patients stratification with as little as 2% of cancer cells…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsProstate Cancer Treatment and Research · Prostate Cancer Diagnosis and Treatment · Molecular Biology Techniques and Applications
