Prediction of plasma ctDNA fraction and prognostic implications of liquid biopsy in advanced prostate cancer.
Nicolette M FonsecaCorinne Maurice-DrorCameron HerbertsWilson TuWilliam FanAndrew J MurthaCatarina KollmannsbergerEdmond M KwanKaran ParekhElena SchönlauCecily Q BernalesGráinne DonnellanSarah W S NgTakayuki SumiyoshiJoanna VergidisKrista NoonanDaygen L FinchMuhammad ZulfiqarStacy MillerSunil ParimiJean-Michel LavoieEdward HardyMaryam SoleimaniLucia NappiBernhard J EiglChristian KollmannsbergerSinja TaavitsainenMatti NykterSofie H TolmeijerEmmy BoerrigterNiven MehraNielka P van ErpBram De LaereJohan LindbergHenrik GronbergDaniel J KhalafMatti AnnalaKim N ChiAlexander W WyattPublished in: Nature communications (2024)
No consensus strategies exist for prognosticating metastatic castration-resistant prostate cancer (mCRPC). Circulating tumor DNA fraction (ctDNA%) is increasingly reported by commercial and laboratory tests but its utility for risk stratification is unclear. Here, we intersect ctDNA%, treatment outcomes, and clinical characteristics across 738 plasma samples from 491 male mCRPC patients from two randomized multicentre phase II trials and a prospective province-wide blood biobanking program. ctDNA% correlates with serum and radiographic metrics of disease burden and is highest in patients with liver metastases. ctDNA% strongly predicts overall survival, progression-free survival, and treatment response independent of therapeutic context and outperformed established prognostic clinical factors. Recognizing that ctDNA-based biomarker genotyping is limited by low ctDNA% in some patients, we leverage the relationship between clinical prognostic factors and ctDNA% to develop a clinically-interpretable machine-learning tool that predicts whether a patient has sufficient ctDNA% for informative ctDNA genotyping (available online: https://www.ctDNA.org ). Our results affirm ctDNA% as an actionable tool for patient risk stratification and provide a practical framework for optimized biomarker testing.
Keyphrases
- circulating tumor
- cell free
- circulating tumor cells
- prognostic factors
- prostate cancer
- end stage renal disease
- phase ii
- machine learning
- free survival
- clinical trial
- ejection fraction
- chronic kidney disease
- open label
- newly diagnosed
- small cell lung cancer
- case report
- squamous cell carcinoma
- double blind
- gene expression
- patient reported outcomes
- peritoneal dialysis
- liver metastases
- genome wide
- placebo controlled
- artificial intelligence
- high throughput
- south africa
- single cell
- study protocol
- dna methylation
- ultrasound guided
- single molecule
- genetic diversity