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DNA damage repair alterations as predictive biomarker for platinum-based chemotherapy in metastatic urothelial cancer.

2025· article· en· W4407702530 on OpenAlexaff
Michal Sternschuss, Alex Paynter, Wenxin Xu, Chelsea Nichols, Nancy B. Davis, Di Jiang, Neil J. Shah

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineUrothelial cancerBiomarkerChemotherapyDNA damageOncologyCancerCancer researchDNABladder cancerInternal medicinePathologyGeneticsBiology

Abstract

fetched live from OpenAlex

853 Background: DNA damage repair gene alterations (DDRa), especially ERCC2 mutations, have been associated with improved clinical outcomes in patients with urothelial cancer (UC) treated with cisplatin-based neoadjuvant chemotherapy. The predictive value of DDR alterations for platinum-based chemotherapy in metastatic disease is not well-defined. Methods: We analyzed the American Association of Cancer Research (AACR) Genomics Evidence Neoplasia Information Exchange (GENIE) Biopharma Collaborative consortium (BPC), including patients with UC treated at 4 academic centers in North America between 2013 and 2018, with Next Generation Sequencing (NGS) data available. We assessed overall survival among patients treated with first line platinum-based chemotherapy for metastatic UC, and compared the outcomes based on DDRa status using Cox models adjusted with risk-set adjustment for delayed entry. DDRa were defined as any mutation defined as “likely oncogenic” or “oncogenic” in OncoKB for the genes ERCC2, ERCC5, BRCA1, BRCA2, RECQL4, ATM, ATR, RAD51C and FANCC . Results: Of 716 patients with UC, 103 (14%) had any DDRa, and 32 (4.5%) had an ERCC2 mutation. Among 566 patients (79%) who developed metastatic disease at any time during follow up, median age was 66 years, 22% were female and 25% had upper tract UC. The median overall survival (mOS) from diagnosis of metastatic disease was 15.1 months (95% CI 12.6-18.6). For patients treated with first line platinum-based chemotherapy (n=258), the presence of DDRa was associated with significantly improved mOS compared with absence of DDRa: 22.7 versus 11.2 months, hazard ratio (HR) 0.54 (95% CI 0.34-0.86, p=0.009). Similar trends were seen when analyzing patients treated with cisplatin or carboplatin, separately. Conclusions: DDRa were associated with improved survival in metastatic UC patients treated with platinum-based chemotherapy. Further studies are needed to explore the prognostic and predictive value of DDRa as the role of platinum-based chemotherapy evolves in the enfortumab vedotin and pembrolizumab era. DDRa No DDRa First Line treatment for metastatic UC N Median OS months (95% CI) N Median OS months (95% CI) HR (95% CI) P value Any platinum-based chemotherapy 32 22.7 (14.5, 66.9) 226 11.2 (9.4, 15.1) 0.54 (0.34, 0.86) 0.009 Cisplatin-based chemotherapy 22 25.9 (14.5, NR) 142 13.6 (10.4, 18.8) 0.57 (0.32, 1.01) 0.06 Carboplatin- based chemotherapy 10 17.4 (7.26, NR) 84 9.9 (6.6, 12.7) 0.53 (0.25, 1.17) 0.12 CI= Confidence interval; DDRa= DNA damage repair alteration; HR=Hazard ratio; NR=Not reached; OS= Overall survival; UC= Urothelial Carcinoma.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.108
GPT teacher head0.502
Teacher spread0.394 · 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".

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Citations1
Published2025
Admission routes1
Has abstractyes

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