Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Deep whole-genome ctDNA chronology of treatment-resistant prostate cancer

Cameron Herberts, Matti Annala, Joonatan Sipola, Sarah W.S. Ng, Xinyi E. Chen, Anssi Nurminen, Olga V. Korhonen, Aslı D. Munzur, Kevin Beja, Elena Schönlau, Cecily Q. Bernales, Elie Ritch, Jack V. W. Bacon, Nathan A. Lack, Matti Nykter, Rahul Aggarwal, Eric J. Small, Martin Gleave, SU2C/PCF West Coast Prostate Cancer Dream Team, David A. Quigley, Felix Y. Feng, Kim N., Alexander W. Wyatt

Nature · 2022

Read source ↗ All evidence

Summary

This Nature study presents a deep genomic chronology of circulating tumour DNA in men with treatment-resistant prostate cancer, using whole-genome sequencing to track clonal evolution and identify mutations associated with therapeutic resistance. The work, conducted by the SU2C/PCF West Coast Prostate Cancer Dream Team, appears to establish ctDNA profiling as a means of understanding the dynamic genomic landscape driving resistance to standard treatments. The findings may inform stratification and monitoring of advanced prostate cancer patients, though applicability to prevention or nutritional intervention is limited.

UK applicability

This research is relevant to UK oncology and precision medicine strategies, particularly the NHS's adoption of genomic diagnostics in cancer care and treatment selection for metastatic prostate cancer. However, the findings are primarily applicable to clinical management of advanced disease rather than prevention or primary care.

Key measures

Whole-genome sequencing of circulating tumour DNA; clonal architecture; treatment-resistance mutations; temporal evolution of genomic variants

Outcomes reported

The study characterised circulating tumour DNA (ctDNA) dynamics and clonal evolution in treatment-resistant prostate cancer patients over time using whole-genome sequencing. The research traced genomic changes associated with resistance to androgen-deprivation and other therapeutic interventions.

Theme
Nutrition & health
Subject
Other / interdisciplinary
Study type
Research
Study design
Observational cohort
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Human clinical
DOI
10.1038/s41586-022-04975-9
Catalogue ID
SNmoh0dslh-q4nzkv

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.