Clinical significance of stratifying prostate cancer patients through specific circulating genes

Patient stratification remains a challenge for optimal treatment of prostate cancer (PCa). This clinical heterogeneity implies intra-tumoural heterogeneity, with different prostate epithelial cell subtypes not all targeted by current treatments. We reported that such cell subtypes are traceable in liquid biopsies through representative transcripts. Expanding on this concept, we included 57 genes representing cell subtypes, drug targets and relevant to resistance as non-invasive biomarkers for stratification. This panel was tested by RT-qPCR (quantitative reverse transcription polymerase chain reaction) in blood of controls and different categories of PCa patients. Overall, circulating transcripts showed predictive value throughout the disease. Those with aggressive pathological features such as intra-ductal carcinoma at diagnosis showed more genes over-expressed. In metastatic patients, signatures of subtypes or resistance were associated with treatments, progression-free survival and overall survival. Altogether, testing markers of cell diversity, an intrinsic feature of tumours, and drug targets via liquid biopsies represents a valuable means to stratify patients and predict responses to current or new therapeutic modalities. Over-expressed drug target genes suggest potential benefit from targeted treatments, justifying new clinical trials to offer patient-tailored strategies to eventually impact on PCa mortality.

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Publication Details

Journal
Molecular Oncology
Published
2025-01-22
DOI
https://doi.org/10.1002/1878-0261.13805
Citations
1
Primary Topic
Prostate Cancer Treatment and Research
Type
article
Field-Weighted Citation Impact
1.52

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article

Clinical significance of stratifying prostate cancer patients through specific circulating genes

Edouard Jarry, Alexis Rompré‐Brodeur, Wassim Kassouf, Marie Duclos et al.
1 citations
Molecular Oncology
Prostate Cancer Treatment and Research
1.52
article

Clinical significance of stratifying prostate cancer patients through specific circulating genes

Edouard Jarry, Alexis Rompré‐Brodeur, Wassim Kassouf, Marie Duclos, Simone Chevalier, Fadi Brimo, Rafael Sanchez‐Salas, Quentin Vesval, Arynne Santos, Seta Derderian, Raghu Rajan, Armen Garo Aprikian, Lucie Hamel
article en
1 citations

Abstract

Patient stratification remains a challenge for optimal treatment of prostate cancer (PCa). This clinical heterogeneity implies intra-tumoural heterogeneity, with different prostate epithelial cell subtypes not all targeted by current treatments. We reported that such cell subtypes are traceable in liquid biopsies through representative transcripts. Expanding on this concept, we included 57 genes representing cell subtypes, drug targets and relevant to resistance as non-invasive biomarkers for stratification. This panel was tested by RT-qPCR (quantitative reverse transcription polymerase chain reaction) in blood of controls and different categories of PCa patients. Overall, circulating transcripts showed predictive value throughout the disease. Those with aggressive pathological features such as intra-ductal carcinoma at diagnosis showed more genes over-expressed. In metastatic patients, signatures of subtypes or resistance were associated with treatments, progression-free survival and overall survival. Altogether, testing markers of cell diversity, an intrinsic feature of tumours, and drug targets via liquid biopsies represents a valuable means to stratify patients and predict responses to current or new therapeutic modalities. Over-expressed drug target genes suggest potential benefit from targeted treatments, justifying new clinical trials to offer patient-tailored strategies to eventually impact on PCa mortality.

Molecular OncologyVol. 19(5)
Centre Hospitalier Universitaire de Lille (FR), Centre Hospitalier Universitaire de Rennes (FR), McGill University (CA)
American Association for Cancer Research, Memorial Sloan-Kettering Cancer Center, Movember Foundation, Prostate Cancer Canada, Alliance de recherche numérique du Canada, Stand Up To Cancer, National Human Genome Research Institute, National Cancer Institute
Good health and well-being
Openalex Percentile: Top 23%
Prostate Cancer Treatment and Research
1.52
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