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MP34-20 METASTASIS-FREE SURVIVAL (MFS) IN NONMETASTATIC CASTRATION-RESISTANT PROSTATE CANCER (NMCRPC) PATIENTS (PTS) WITH PROSTATE-SPECIFIC ANTIGEN (PSA) DECLINE TO < 0.2 NG/ML FOLLOWING APALUTAMIDE (APA) TREATMENT: POST HOC RESULTS FROM THE PHASE 3 SPARTAN STUDY

2019· article· en· W2942397799 on OpenAlexaboutno aff
Julie N. Graff, Fred Saad, Boris Hadaschik, Paul N. Mainwaring, Hiroji Uemura, Simon Chowdhury, Stéphane Oudard, David Olmos, Ji Youl Lee, Angela Lopez‐Gitlitz, Amitabha Bhaumik, Anil Londhe, Shinta Cheng, Mary B. Todd, Matthew R. Smith, Eric J. Small

Bibliographic record

VenueThe Journal of Urology · 2019
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineProstate cancerUrologyProstate-specific antigenOncologyInternal medicineMetastasisProstateAntigenCancerImmunology

Abstract

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You have accessJournal of UrologyProstate Cancer: Advanced (including Drug Therapy) IV (MP34)1 Apr 2019MP34-20 METASTASIS-FREE SURVIVAL (MFS) IN NONMETASTATIC CASTRATION-RESISTANT PROSTATE CANCER (NMCRPC) PATIENTS (PTS) WITH PROSTATE-SPECIFIC ANTIGEN (PSA) DECLINE TO < 0.2 NG/ML FOLLOWING APALUTAMIDE (APA) TREATMENT: POST HOC RESULTS FROM THE PHASE 3 SPARTAN STUDY Julie N. Graff*, Fred Saad, Boris A. Hadaschik, Paul N. Mainwaring, Hiroji Uemura, Simon Chowdhury, Stéphane Oudard, David Olmos, Ji Youl Lee, Angela Lopez-Gitlitz, Amitabha Bhaumik, Anil Londhe, Shinta Cheng, Mary B. Todd, Matthew R. Smith, and Eric J. Small Julie N. Graff*Julie N. Graff* More articles by this author , Fred SaadFred Saad More articles by this author , Boris A. HadaschikBoris A. Hadaschik More articles by this author , Paul N. MainwaringPaul N. Mainwaring More articles by this author , Hiroji UemuraHiroji Uemura More articles by this author , Simon ChowdhurySimon Chowdhury More articles by this author , Stéphane OudardStéphane Oudard More articles by this author , David OlmosDavid Olmos More articles by this author , Ji Youl LeeJi Youl Lee More articles by this author , Angela Lopez-GitlitzAngela Lopez-Gitlitz More articles by this author , Amitabha BhaumikAmitabha Bhaumik More articles by this author , Anil LondheAnil Londhe More articles by this author , Shinta ChengShinta Cheng More articles by this author , Mary B. ToddMary B. Todd More articles by this author , Matthew R. SmithMatthew R. Smith More articles by this author , and Eric J. SmallEric J. Small More articles by this author View All Author Informationhttps://doi.org/10.1097/01.JU.0000555927.90500.b0AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVES: APA, a next-generation androgen receptor inhibitor, added to androgen deprivation therapy (ADT) improved MFS by > 2 years (median 40.5 vs 16.2 mo; p < 0.0001) in high-risk pts with nmCRPC in the phase 3 SPARTAN study. In this post hoc analysis, we examined clinical outcomes in APA-treated pts whose PSA declined to < 0.2 ng/mL. METHODS: In SPARTAN, pts with nmCRPC with PSA doubling time of ≤ 10 months were randomized 2:1 to APA (240 mg QD) + ADT or placebo (PBO) + ADT. MFS, time to metastasis (mets) (TTM), and location of mets were evaluated as a function of PSA status (PSA decline to < 0.2 ng/mL at any time during the study, vs PSA not declining to < 0.2 ng/mL). Cox proportional hazard analysis estimated HRs and 95% CI. RESULTS: Following treatment with APA, PSA declined to < 0.2 ng/mL in 319/806 (40%) pts; 1 PBO pt had a decline in PSA to < 0.2 ng/mL. APA pts with a PSA decline to < 0.2 ng/mL had a 76% risk reduction for MFS (Figure) and TTM. Compared with pts who received PBO, the APA pts with PSA that declined to < 0.2 ng/mL had an 88% risk reduction for MFS and TTM. When mets developed, depth of PSA decline (to < 0.2 ng/mL vs not reaching < 0.2 ng/mL) was not associated with location of mets (bone: 53% vs 58%; nodes: 27% vs 31%). CONCLUSIONS: In nmCRPC pts treated with APA, a PSA decline to < 0.2 ng/mL occurred in 40% of pts, and was associated with an improvement in clinical end points, including MFS. Depth of PSA decline was not associated with a specific metastatic pattern. Source of Funding: Janssen Research & Development Portland, OR; Montréal, Canada; Essen, Germany; Brisbane, Australia; Yokohama, Japan; London, United Kingdom; Paris, France; Madrid, Spain; Seoul, Korea, Republic of; Los Angeles, CA; Yardley, PA; Titusville, NJ; Raritan, NJ; Boston, MA; San Francisco, CA© 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 201Issue Supplement 4April 2019Page: e503-e503 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Julie N. Graff* More articles by this author Fred Saad More articles by this author Boris A. Hadaschik More articles by this author Paul N. Mainwaring More articles by this author Hiroji Uemura More articles by this author Simon Chowdhury More articles by this author Stéphane Oudard More articles by this author David Olmos More articles by this author Ji Youl Lee More articles by this author Angela Lopez-Gitlitz More articles by this author Amitabha Bhaumik More articles by this author Anil Londhe More articles by this author Shinta Cheng More articles by this author Mary B. Todd More articles by this author Matthew R. Smith More articles by this author Eric J. Small More articles by this author Expand All Advertisement PDF downloadLoading ...

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.027
GPT teacher head0.304
Teacher spread0.277 · 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 designNon-randomized trial
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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Citations3
Published2019
Admission routes1
Has abstractyes

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