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Record W4414422734 · doi:10.1016/j.euo.2025.07.007

Genomic Predictors of Response to Metastasis-directed Therapy With or Without Androgen Deprivation Therapy

2025· article· en· W4414422734 on OpenAlexafffund
Philip Sutera, Kim Van der Eecken, Yang Song, Amol C. Shetty, Elai Davicioni, James A. Proudfoot, Alexander Hakansson, K.K. English, Jarey H. Wang, Ozan Cem Guler, Soha Bazyar, Sofie Verbeke, Jo Van Dorpe, Valérie Fonteyne, Bram De Laere, Lara Hathout, Ronald D. Ennis, Salma K. Jabbour, Biren Saraiya, Ryan D. Stephenson, Tina Mayer, Mark V. Mishra, Zaker Rana, Jason K. Molitoris, Ana P. Kiess, Daniel Y. Song, Theodore L. DeWeese, Kenneth J. Pienta, Phuoc T. Tran, Alejandro Berlín, Cem Önal, Piet Ost, Matthew P. Deek

Bibliographic record

VenueEuropean Urology Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Research Studies
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
FundersMcMaster UniversityMovember FoundationNational Cancer InstituteNational Institutes of HealthProstate Cancer FoundationFoundation for the National Institutes of HealthU.S. Department of Defense
KeywordsAndrogen deprivation therapyProstate cancerPredictive testingPersonalized medicinePersonalizationPrecision medicineAndrogen

Abstract

fetched live from OpenAlex

Metastasis-directed therapy (MDT) is an emerging treatment option for metachronous oligometastatic castration-sensitive prostate cancer (omCSPC) and can delay time to progression and the need to initiate androgen deprivation therapy (ADT). However, optimal ways to synergize MDT and ADT are not known, and better personalization of MDT is needed. We examined the role of combined ADT and MDT and the ability of genomic alterations to provide prognostic and predictive information regarding response to MDT. We found that high-risk (HiRi) mutations in TP53, BRCA1/2, ATM, and Rb1 are poor prognostic markers in omCSPC. In addition, patients harboring HiRi mutations experienced greater benefit from addition of ADT to MDT, indicating that these alterations are predictive biomarkers for treatment intensification. Our results suggest that genetic biomarkers might aid in treatment personalization for patients with omCSPC.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.310
Threshold uncertainty score0.565

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.035
GPT teacher head0.359
Teacher spread0.324 · 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 teacher head, 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
Published2025
Admission routes2
Has abstractyes

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