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Record W4409913601 · doi:10.1101/2025.04.28.25326584

Identifying Rare Germline Variants Associated with Metastatic Prostate Cancer Through an Extreme Phenotype Study

2025· preprint· en· W4409913601 on OpenAlexafffund
Yen‐Yi Lin, Hamideh Sharifi Noghabi, Stanislav Volik, Robert H. Bell, Funda Sar, Anne Haegert, Hee Chul Chung, Ladan Fazli, Htoo Zarni Oo, Mads Daugaard, Ming-Han Kuo, Sheng-Chieh Hsu, Eddie L. Imada, Claudio Zanettini, Lúcio Queiroz, Balthasar Schlotmann, Kazzem Gheybi, Colin S. Cooper, Zsofia Kote‐Jarai, Rosalind A. Eeles, Hsing‐Jien Kung, Luigi Marchionni, Joachim Weischenfeldt, Keith Miller, Adam Rabinowitz, Yuzhuo Wang, Hai‐Feng Zhang, Poul H. Sorensen, Mark Carey, Martin Gleave, Vanessa M. Hayes, William T. Gibson, Colin C. Collins

Bibliographic record

VenuemedRxiv · 2025
Typepreprint
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsBC Children's HospitalBC Cancer AgencySt. Paul's HospitalUniversity of British Columbia
FundersCongressionally Directed Medical Research ProgramsNational Cancer InstituteMedical Research CouncilNational Institutes of HealthNational Science and Technology CouncilNational Health and Medical Research CouncilNovo Nordisk FondenDanmarks Frie ForskningsfondUniversity of SydneyUniversity of East AngliaDOD Prostate Cancer Research ProgramRoyal Marsden NHS Foundation TrustMitacsBC Children's HospitalNational Institute for Health and Care ResearchNovo NordiskPetre FoundationProstate Cancer FoundationMovember FoundationProstate Cancer UK
KeywordsNonsynonymous substitutionProstate cancerGermlineGermline mutationMinor allele frequencyCancerAlleleBiologyOncologyPopulationExomeAllele frequencyGeneticsCancer researchExome sequencingInternal medicineMedicinePhenotypeMutationGeneGenome

Abstract

fetched live from OpenAlex

Abstract Background Studies of germline variants in prostate cancer (PCa) have largely focused on their connections to cancer predisposition. However, an understanding of how heritable factors contribute to cancer progression and metastasis remain limited. Objective To identify low frequency to rare germline nonsynonymous variants associated with increased risk for metastatic PCa (mPCa), while providing functional validation. Design We assembled an extreme phenotype cohort (EPC) of 52 patients diagnosed with predominantly high-grade (Gleason Score (GS) ≥ 8) PCa and > 7 years of follow-up for which localized treatment naïve tumor tissues were available. In half of the cases, the tumor had metastasized to bone, providing an even distribution of bone mPCa and non mPCa cases. Tumor and matched distant benign DNA samples were exome sequenced and analyzed for germline variants with population-wide minor allelic frequencies σ; 2%. Findings were validated using two independent PCa germline cohorts, including a closely matched Australian study biased to aggressive disease (n = 53) and Pan Prostate Cancer Group (PPCG, n = 976). Two mPCa-promoting candidate variants in KDM6B and BRCA2 were engineered into cell lines and functionalized. Results Germline nonsynonymous rare variants (gnsRVs) identified in 25 DNA Damage Repair (DDR) genes were significantly enriched in the mPCa patients (p=4.57e-06). Conversely, the prevalence of synonymous variants at minor allele frequencies of σ; 2% were similar between the mPCa and non mPCa patients. The predictive power of variants in 53 non-DDR genes was validated in the Australian cohort (p=0.028) and correlated with high-risk PCa in PPCG (p=0.03). KDM6B K973Q showed functional significance despite being annotated as benign in ClinVar, while BRCA2 I1962T showed sensitivity to Olaparib. In total, six EPC variants related to DNA repair or epigenetics were found to alter enzymatic activity. Conclusions EPCs coupled with low frequency/rare variant analyses may advance understanding of interactions between the germline and tumor in PCa. We identified a series of germline variants that were enriched among mPCa patients. Moreover, we showed that one of these variants confers a metastatic phenotype. Our findings suggest that germline testing at diagnosis may improve treatment stratification in PCa. Patient summary The presence of specific genetic variants among men with PCa may elevate the risk of mPCa once PCa develops. Knowledge of the variant burden at time of diagnosis may enable accurate stratification of some patients for aggressive therapeutic interventions.

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.142
GPT teacher head0.403
Teacher spread0.261 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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