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Record W4380029485 · doi:10.1158/1538-7445.am2023-2105

Abstract 2105: Implications of metastatic stage at presentation in docetaxel naïve metastatic castrate resistant prostate cancer

2023· article· en· W4380029485 on OpenAlexaff
Shawn Malone, Christopher J.D. Wallis, Scott C. Morgan, Amar U. Kishan, Amy Tu Trinh Le, Julia Malone, Yilun Sun, Daniel E. Spratt, Fred Saad, Soumyajit Roy

Bibliographic record

VenueCancer Research · 2023
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsMount Sinai HospitalOttawa Hospital
Fundersnot available
KeywordsMedicineDocetaxelProstate cancerAbiraterone acetatePrednisoneInternal medicineOncologyEnzalutamideStage (stratigraphy)PlaceboRegimenCancerProstateAndrogen deprivation therapyUrologyAndrogen receptorPathology

Abstract

fetched live from OpenAlex

Abstract Background: Studies on metastatic hormone sensitive prostate cancer have shown that metachronous presentation has a better prognosis compared to synchronous disease. However, it remains unknown if such association is pertinent in metastatic castrate resistant prostate cancer (mCRPC). We performed a secondary analysis of ACIS study to determine if the response to dual androgen receptor axis-targeted therapy (ARAT) in in docetaxel naïve metastatic castrate resistant prostate cancer (mCRPC) varies based on M-stage at diagnosis and if prior local therapy plays an effect modifying role in the association of M-stage at presentation with survival. Patients and Methods: In this phase III randomized controlled trial, mCRPC patients with no prior exposure to androgen biosynthesis signaling inhibitors were randomly assigned to either apalutamide or placebo combined with abiraterone and prednisone. Cox regression models were applied for radiographic progression-free survival (rPFS), overall survival (OS) with interaction terms between M-stage and treatment regimen. Multivariable Cox regression analyses were performed to determine the adjusted association of M-stage with rPFS and OS after considering the effect modification by prior local therapy (LT). Results: Among 972 evaluable patients -432 had M0, 334 had M1 at diagnosis while M-stage was unknown in 206. We did not find any statistically significant heterogeneity of treatment effect on rPFS (interaction p=0.13; HR for placebo in M0 group: 1.42 [1.13-1.79]; M1/unknown group: 1.11 [0.90-1.37]), and OS (interaction p=0.87; HR for placebo in M0 group: 1.02 [0.81-1.29], and M1/unknown group: 1.00 [0.82-1.23]) based on M-stage at diagnosis. There was no significant association of M-stage with rPFS (HR for LT group: 1.08 [0.84-1.40], HR for no LT: 0.91 [0.67-1.24]) and OS (HR for LT: 1.04 [0.81-1.33] and no LT: 0.95 [0.70-1.29]) with no significant heterogeneity depending on receipt of LT (interaction p-value of 0.94 and 0.93, respectively). Conclusion: We did not find a statistically significant heterogeneity in efficacy of dual ARAT based on synchronous versus metachronous presentation. M-stage was not found to be a predictor for rPFS and OS after considering effect modification by prior LT. Citation Format: Shawn Malone, Christopher Wallis, Scott Morgan, Amar Kishan, Amy Tu Trinh Le, Julia Malone, Yilun Sun, Daniel Spratt, Fred Saad, Soumyajit Roy. Implications of metastatic stage at presentation in docetaxel naïve metastatic castrate resistant prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2105.

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)0.002
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.208
GPT teacher head0.500
Teacher spread0.292 · 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
Published2023
Admission routes1
Has abstractyes

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