Plasma Cell-Free DNA Chromatin Immunoprecipitation Profiling Depicts Phenotypic and Clinical Heterogeneity in Advanced Prostate Cancer
- Joonatan Sipola 1, Aslı D Munzur 2, Edmond M Kwan 2,3,4, Clara C Y Seo 5, Benjamin J Hauk 5, Karan Parekh 2, Yi Jou Ruby Liao 2, Cecily Q Bernales 2, Gráinne Donnellan 2, Ingrid Bloise 6,7, Emily Fung 8, Sarah W S Ng 2, Gang Wang 8, Gillian Vandekerkhove 2,3, Matti Nykter 1, Matti Annala 1, Corinne Maurice-Dror 3, Kim N Chi 2,3, Cameron Herberts 2, Alexander W Wyatt 2,9, David Y Takeda 5
- Joonatan Sipola 1, Aslı D Munzur 2, Edmond M Kwan 2,3,4
- 1Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tays Cancer Center, Tampere University, Tampere, Finland.
- 2Department of Urologic Sciences, Vancouver Prostate Centre, University of British Columbia, British Columbia, Canada.
- 3Department of Medical Oncology, BC Cancer, Vancouver, Canada.
- 4Department of Medicine, School of Clinical Sciences; Monash University, Melbourne, Australia.
- 5Laboratory of Genitourinary Cancer Pathogenesis, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
- 6Instituto Brasileiro de Controle ao Cancer, Sao Paulo, Brazil.
- 7Department of Molecular Oncology, BC Cancer Research Centre, Vancouver, Canada.
- 8Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada.
- 9Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, Canada.
- 0Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tays Cancer Center, Tampere University, Tampere, Finland.
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View abstract on PubMed
Summary
This summary is machine-generated.Researchers analyzed plasma cell-free DNA (cfDNA) to understand prostate cancer phenotypes. This noninvasive method reveals tumor biology and may help monitor treatment resistance.
Area Of Science
- Oncology
- Molecular Biology
- Genomics
Background
- Prostate cancer phenotypes influence disease presentation and treatment resistance.
- Accessing metastatic tissue for chromatin biology studies is limited, often relying on non-representative preclinical models.
- Plasma cell-free DNA (cfDNA) offers a potential noninvasive source for studying prostate cancer epigenomics.
Purpose Of The Study
- To analyze histone modifications (H3K4me2) in cfDNA from metastatic prostate cancer patients to capture diverse phenotypes.
- To correlate cfDNA epigenomic features with clinicogenomic data and treatment response.
- To establish plasma cfDNA chromatin profiling as a tool for biomarker discovery and biological insights.
Main Methods
- Chromatin immunoprecipitation sequencing (ChIP-seq) of H3K4me2 from plasma cfDNA.
- Analysis of cfDNA epigenomic data in relation to ctDNA fraction, metastatic patterns, and clinical presentation.
- Correlation of chromatin hallmarks with clinicogenomic features like PSA levels, histopathology, and genetic deletions (RB1).
Main Results
- H3K4me2 density in cfDNA correlated with ctDNA fraction, reflecting prostate cancer biology.
- Epigenomic profiles segregated tumors based on metastatic site (bone vs. liver), clinical features, and androgen receptor activity.
- Observed lineage switching post-therapy in some patients, suggesting potential for resistance monitoring.
- Identified epigenomic footprints of normal tissue destruction in cfDNA.
Conclusions
- Plasma cfDNA chromatin profiling is a viable noninvasive method for dissecting lethal prostate cancer phenotypes.
- This approach overcomes limitations of tissue accessibility and reliance on model systems.
- Plasma cfDNA epigenomics serves as a valuable source for biomarker discovery and understanding tumor adaptability.
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