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PI3K/AKT pathway biomarkers analysis from the phase III IPATential150 trial of ipatasertib plus abiraterone in metastatic castration-resistant prostate cancer.

2021· article· en· W3135328828 on OpenAlexaff
Johann S. de Bono, Christopher J. Sweeney, Sergio Bracarda, Cora N. Sternberg, Kim N., David Olmos, Shahneen Sandhu, Christophe Massard, Nobuaki Matsubara, Josep Garcia, Małgorzata Nowicka, Matthew Wongchenko, Zhen Shi

Bibliographic record

VenueJournal of Clinical Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsPTENMedicineProstate cancerImmunohistochemistryInternal medicineCancerPopulationOncologyAbiraterone acetatePathologyPI3K/AKT/mTOR pathwayAndrogen deprivation therapyApoptosisBiology

Abstract

fetched live from OpenAlex

13 Background: In IPATential150 (NCT03072238), ipatasertib (ipat) + abiraterone (abi) as first-line treatment for metastatic castration-resistant prostate cancer (mCRPC) significantly reduced the risk for disease worsening or death vs placebo (pbo) + abi in patients (pts) with tumors with PTEN loss by immunohistochemistry (IHC; HR, 0.77 [95% CI: 0.61, 0.98]; P = 0.0335) but not in the intention-to-treat population (de Bono, ESMO 2020). In patients with PTEN loss tumors by IHC, median radiographic progression-free survival (rPFS) was 16.5 mo (95% CI: 13.9, 17.0) with pbo + abi and 18.5 mo (95% CI: 16.3, 22.1) with ipat + abi. Here, we present exploratory analyses evaluating putative biomarker associations with rPFS. Methods: Before randomization, tumor samples ( > 90% archival) were tested for PTEN loss by VENTANA PTEN (SP218) IHC assay (N = 1101). PTEN loss was pre-defined as ≥ 50% of tumor cells with no specific cytoplasmic IHC staining. Exploratory analysis evaluated different IHC staining cutoffs. Tumor genomic alterations were profiled with next-generation sequencing (NGS) using the Foundation Medicine FoundationOne CDx NGS assay (Shi, ASGO-GU 2020; n = 743 evaluable by NGS, of which n = 518 were PTEN evaluable). rPFS was determined by the investigator. Results: Consistent benefit with the combination arm vs pbo + abi was observed when PTEN loss by IHC was defined more stringently (rPFS at ≥ 60% tumor cells with PTEN loss: HR, 0.72 [95% CI, 0.56, 0.92]; ≥ 70%: HR, 0.72 [95% CI, 0.56, 0.93]; ≥ 80%: HR, 0.71 [95% CI, 0.54, 0.92]; ≥ 90%: HR, 0.72 [95% CI, 0.53, 0.97]; 100%: HR, 0.65 [95% CI, 0.39, 1.08]). In contrast, ipat + abi was not associated with improved rPFS in pts with PTEN intact by IHC tumors ( < 50% no staining; stratified HR, 0.91 [95% CI: 0.72, 1.16]); the median rPFS was 19.1 mo (95% CI: 16.4, 21.9) with pbo + abi and 19.7 mo (95% CI: 16.4, 26.3) with ipat + abi. By NGS assessment, pts with tumors with PTEN loss and with genomic alterations in PIK3CA/AKT1/PTEN had a larger magnitude of rPFS benefit with ipat + abi than pts with no detectable alterations (Table). Conclusions: Analyses of more-stringent biomarkers associated with activation of the PI3K/AKT pathway further support ipat + abi as a treatment option for first-line mCRPC with PI3K/AKT pathway alterations, a mCRPC subtype with a worse prognosis. Clinical trial information: NCT03072238. [Table: see text]

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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)0.003
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 score0.004
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.201
GPT teacher head0.512
Teacher spread0.311 · 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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Citations26
Published2021
Admission routes1
Has abstractyes

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