Abstract 5218
Background
Metastatic castration-resistant prostate cancer (mCRPC) is a heterogeneous disease with rare driver gene alteration combinations in most men, requiring large sample sizes for stratified evaluations. We therefore hypothesized that the number of driver genes or pathways would affect prognosis in patients initiating androgen receptor signalling inhibitors (ARSi, i.e abiraterone acetate or enzalutamide).
Methods
We performed a post hoc analysis of the circulating tumor DNA (ctDNA) mutational landscape in ARSi-treated men with mCRPC (n = 342), recruited in our prospective, non-interventional, cohort study (n = 142) and the prospective NCT02125357 trial (n = 200). The driver gene mutational burden was defined as the number of detectable hotspot, pathogenic and/or function-affecting perturbations in 39 overlapping genes, which in turn were associated with 13 pathways. Progression-free survival (PFS) estimates were inferred by Kaplan-Meier analysis and multivariable Cox regression models, including the following covariates: PSA and ctDNA levels, prior chemotherapy, prior ARSi exposure, and presence of visceral metastases.
Results
Driver gene perturbations were detectedin 192/342 (56.1%) evaluable patients at baseline, with 152/192 (79.2%) and 40/192 (20.8%) perturbed patients having 1-3 and ≥ 4 significant events, respectively. PFS decreased as the driver mutational burden increased (0, 1-3, ≥ 4 drivers, median PFS 12.5 vs 5.6 vs 2.7 months, p < 0.0001). In multivariate analysis the driver burden reached significance once ≥ 4 driver hits were detected (HR 1.85, 95%CI 1.06-3.23, p = 0.03). The number of perturbed pathways reached independent prognostic value once ≥ 3 pathway or gene classes were affected (HR 1.7, 95%CI 1.02-2.84, p = 0.04). Additionally, in both models the presence of visceral metastases (p < 0.0001) and increasing PSA (p < 0.001) and plasma ctDNA (p < 0.001) levels were also independently associated with inferior outcome.
Conclusions
We demonstrate for the first time that the elevated driver mutational burden or number of affected pathways is independently associated with poor prognosis in mCRPC patients starting ARSi.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
CORE-ARV-CTC and ProBio Investigators.
Funding
The Belgian Foundation Against Cancer, Kom op tegen Kanker (the Flemish Cancer Society), Royal College of Surgeons/Cancer Research UK, The Erling-Persson Family Foundation, the Swedish Research Council, and the Swedish Cancer Foundation.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
5822 - Greek nursing students experience facing death in clinical practice
Presenter: Maria Dimoula
Session: Poster Display session 3
Resources:
Abstract
2866 - HOPEVOL: Hospice care appropriate to the wishes and needs of patients in the palliative terminal phase.
Presenter: Merel van Klinken
Session: Poster Display session 3
Resources:
Abstract
829 - Mindfulness-based stress reduction in early palliative care for advanced cancer patients : an italian single-centre study. MINDEEP
Presenter: Emilia Gianotti
Session: Poster Display session 3
Resources:
Abstract
2702 - Optimising Inpatient Oncology Care
Presenter: Lisa Judge
Session: Poster Display session 3
Resources:
Abstract
1527 - Analysis on the Implementation Results of Family Sickbed for Oncology Patients in Dongshi Township Health Centers from 2015 to 2017
Presenter: Yayu Huang
Session: Poster Display session 3
Resources:
Abstract
2054 - Exploring needs for palliative care and quality of life for oncology patients with advanced disease who undergo radiotherapy
Presenter: Foteini Antonopoulou
Session: Poster Display session 3
Resources:
Abstract
5605 - Cytotoxic contamination in cancer care settings – Risks and safety awareness among cancer nurses
Presenter: Sandra Lundman Vikberg
Session: Poster Display session 3
Resources:
Abstract
5769 - Understanding Chemotherapy - group education sessions prior to commencing chemotherapy
Presenter: Aileen McHale
Session: Poster Display session 3
Resources:
Abstract
2620 - Estimation of HPQ-based absenteeism and presenteeism in cancer patients via ResearchKit
Presenter: Shunsuke Kondo
Session: Poster Display session 3
Resources:
Abstract
4705 - Identifying falls-related variables and risk factors in hospitalised cancer patients
Presenter: Maria Montserrat Martí Dillet
Session: Poster Display session 3
Resources:
Abstract