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Abstract B100: High-risk pathologic and genomic features of BRCA2-mutant prostate cancer

2018· article· en· W2890269457 on OpenAlexaff
Laura H. Porter, Mitchell G. Lawrence, Carmel Pezaro, Heather Thorne, Dragan Ilić, Melissa Papargiris, Michael Fraser, Julie Livingstone, Declan G. Murphy, Mark Frydenberg, Damien Bolton, Daniel Moon, David Clouston, Theodorus van der Kwast, Paul C. Boutros, Robert G. Bristow, Renea A. Taylor, Gail P. Risbridger

Bibliographic record

VenueCancer Research · 2018
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversity of TorontoOntario Institute for Cancer ResearchPrincess Margaret Cancer Centre
Fundersnot available
KeywordsProstate cancerMedicineCancerProstateOncologyGermlineInternal medicineGermline mutationDiseaseCancer researchPathologyMutationBiologyGeneGenetics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0170.014
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.057
GPT teacher head0.409
Teacher spread0.352 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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