Assessing genomic instability (GI) by shallow whole-genome sequencing (sWGS) to predict PARP inhibitor (PARPi) response in metastatic castration-resistant prostate cancer (mCRPC).
Abstract
194 Background: The heterogeneous efficacy of PARPi in patients with mCRPC and homologous recombination deficiency (HRd)-associated genetic alterations has emphasized the need for a more accurate selection of responding patients. sWGS offers a cost-effective method to identify HRd through GI analysis. However, the correlation between GI from sWGS and specific genotypes, along with its predictive value for PARPi response, remains unreported. Methods: A total of 289 samples from 267 patients were analyzed for GI by sWGS. Of these, 121 were newly sequenced with a mean depth of 2.05x and 168 were in silico down-sampled to 2x. Eighty-four percent of the samples were collected in the CRPC setting. Copy number analysis was performed using iChorCNA with a 50 Kb window size, and multiple genome-wide copy number plots were generated per sample with varying tumor content and ploidy. Two researchers independently selected the optimal plot, with discordant cases reviewed by a third, to quantify large-scale transitions and telomeric allelic imbalances per sample, which together constituted an adjusted GI score (aGIS). Results: The median aGIS of all samples was 21 (interquartile range [IQR] 16 – 30). Samples with HRd-associated genetic alterations (43%) had a higher median aGIS (26) than to those without (19, P < 0.0001). Deleterious aberrations in PALB2 resulted in the highest aGIS, followed by BRCA2 and ATM . The aGIS for genotypes with >3 samples are detailed (Table). Out of the 267 patients, 71 received PARPi. Their median aGIS was 27 (IQR: 19–37). The 33 patients with ≥50% PSA decline had a higher aGIS than the 37 without (aGIS 35 vs 22, P = 0.0001). In 60 patients with radiologic assessment, 22 had a partial response, 27 stable disease, and 11 progressive disease. The median aGIS for these groups were 32 (IQR: 25.5–49), 26 (IQR: 17.5–35), and 21 (IQR: 16.5–26.5), respectively, with a significant difference between partial and progressive disease (P = 0.0053). The Cox proportional hazards model did not show a significant effect of aGIS on progression-free survival (P = 0.144). Still, patients with the highest 25% aGIS had a median progression-free survival of 11 months, compared to 4 months for the lowest 25%, and 8 months for the remaining. Conclusions: The quantity of large-scale transitions and telomeric allelic imbalances, from sWGS, correlates with HRd-associated genetic alterations. In PARPi-treated patients, this aGIS is significantly associated with biochemical and radiologic response, even after selection by genotyping. These findings support the development of an sWGS-adjusted GI score for predicting PARPi response in mCRPC. Aberration in: N Median aGIS (IQR) PALB2 4 30.5 (15 – 44.75) BRCA2 50 29 (22 – 38.75) ATM 37 28 (20 – 34) BARD1 4 26.5 (15.5 – 34.5) RAD51B 5 26 (25 – 26) CDK12 20 18.5 (10.75 – 20.25) CHEK2 5 16 (12 – 17)
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (9)
Peter Slootbeek
Radboud University Medical Center, Nijmegen, Netherlands
Yarah M. Quint
Radboud University Medical Center, Nijmegen, Netherlands
Julian J.R. Kokke
Radboud University Medical Center, Nijmegen, Netherlands
Samhita Pamidimarri Naga
Radboud University Medical Center, Nijmegen, Netherlands
Iris Kloots
Radboud University Medical Center, Nijmegen, Netherlands
Maria Victoria Luna-Velez
Radboud University Medical Center, Nijmegen, Netherlands
Marjolijn J.L. Ligtenberg
Radboud University Medical Center, Nijmegen, the Netherlands
Richarda M. de Voer
Niven Mehra