Abstract B100: High-risk pathologic and genomic features of BRCA2-mutant prostate cancer
Bibliographic record
Abstract
Abstract Germline BRCA mutations are associated with an increased risk of developing aggressive prostate cancer with poor clinical outcomes. However, the mechanisms by which BRCA mutations contribute to clinical aggressiveness are not completely understood. Previously, we showed that BRCA2-mutant prostate cancers often have intraductal carcinoma of the prostate (IDC-P), a distinct growth pattern of prostate cancer that is associated with adverse clinical features. Despite this, IDC-P is not routinely reported in pathology and its functional significance remains poorly understood. Thus, we investigated the clinical relevance of IDC-P as well as the underlying molecular features of localised BRCA2-mutant prostate cancers with and without IDC-P. To define the prevalence of IDC-P across cohorts of sporadic and familial prostate cancer, we conducted a systematic review in accordance with PRISMA guidelines. This analysis of over 7,000 patient specimens revealed that the prevalence of IDC-P rises from 2.1% in low-risk cohorts to 56% in cohorts with metastatic/recurrent disease. Since these data showed that IDC-P is a prominent feature of high-risk prostate cancer, we next studied the biologic features of IDC-P using patient-derived xenografts (PDXs). PDXs were established from three patients with germline BRCA mutations and compared to PDXs from four high-risk sporadic cases. IDC-P was successfully grown within the PDXs, maintaining its characteristic morphologic features for up to 800 days. Using classical castration-hormone regeneration experiments, we showed that IDC-P contains a subset of “castrate-tolerant” cells that persist after androgen deprivation and subsequently regenerate the tumor. Notably, we found that PDXs derived from BRCA-mutant tumors have the same response to androgen deprivation as sporadic cases. To further investigate the aggressiveness of BRCA2-mutant tumors, we profiled the genomes and methylomes of localized prostate cancers from 14 germline BRCA2-mutation carriers and compared them to 200 sporadic prostate cancers. BRCA2-mutant prostate cancers had elevated genomic instability and global hypomethylation compared to sporadic tumors. In addition, some genomic features of BRCA2-mutant tumors more closely resembled metastatic than localized disease. Importantly, negative prognostic factors were enriched in BRCA2-mutant prostate cancers harboring IDC-P. Sequencing of macrodissected IDC-P and invasive carcinoma revealed that these two pathologies arise from a common tumor clone and diverge later in tumor evolution. In summary, this work demonstrates that IDC-P pathology and genomic instability are two high-risk features of localized BRCA2-mutant prostate cancers. Given the high prevalence of IDC-P in high-risk patient cohorts, including BRCA2-mutation carriers, IDC-P warrants greater recognition and reporting as this may improve patient risk stratification. Citation Format: Laura H. Porter, Mitchell G. Lawrence, Carmel Pezaro, Heather Thorne, Dragan Ilic, Melissa Papargiris, Michael Fraser, Julie Livingstone, Declan G. Murphy, Mark Frydenberg, Damien Bolton, Daniel Moon, David Clouston, Theo van der Kwast, Paul C. Boutros, Robert G. Bristow, Renea A. Taylor, Gail P. Risbridger. High-risk pathologic and genomic features of BRCA2-mutant prostate cancer [abstract]. In: Proceedings of the AACR Special Conference: Prostate Cancer: Advances in Basic, Translational, and Clinical Research; 2017 Dec 2-5; Orlando, Florida. Philadelphia (PA): AACR; Cancer Res 2018;78(16 Suppl):Abstract nr B100.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.017 | 0.014 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".