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
2152 - Inferring the correlation between incidence rates of melanoma and the average tumor-specific epitope binding ability of HLA class I molecules in different populations
Presenter: Istvan Miklos
Session: Poster Display session 3
Resources:
Abstract
4382 - Thermal Liquid Biopsy as a Valuable Tool in Lung Cancer Screening Programs
Presenter: Alberto Rodrigo
Session: Poster Display session 3
Resources:
Abstract
2465 - Towards a screening test for cancer by circulating DNA analysis
Presenter: Rita Tanos
Session: Poster Display session 3
Resources:
Abstract
3788 - Evaluation of a successful launch of the MammaPrint and BluePrint NGS kit
Presenter: Leonie Delahaye
Session: Poster Display session 3
Resources:
Abstract
3863 - Analysis of prognostic factors on overall survival in elderly women treated for early breast cancer using data mining and machine learning
Presenter: Pierre Heudel
Session: Poster Display session 3
Resources:
Abstract
1993 - Circulating tumor cell detection in epithelial ovarian cancer using dual-component antibodies targeting EpCAM and FRα
Presenter: Na Li
Session: Poster Display session 3
Resources:
Abstract
4281 - CEUS of the breast: Is it feasible in improved performance of BI-RADS evaluation of critical breast lesions?——A multi-center prospective study in China
Presenter: Jun Luo
Session: Poster Display session 3
Resources:
Abstract
2268 - Classification of abnormal findings on ring-type dedicated breast PET for detecting breast cancer
Presenter: Shinsuke Sasada
Session: Poster Display session 3
Resources:
Abstract
4035 - Prediction of benign and malignant breast masses using digital mammograms texture features
Presenter: Cui Yanhua
Session: Poster Display session 3
Resources:
Abstract
5678 - Nanomaterials Augmented LDI-TOF-MS for Hepatocellular Carcinoma Diagnosis and Classification
Presenter: Jian Zhou
Session: Poster Display session 3
Resources:
Abstract