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Characterization of patients (pts) with long-term responses to rucaparib in recurrent ovarian cancer (OC).

2020· article· en· W3032154372 on OpenAlexaff
Elizabeth M. Swisher, Rebecca Kristeleit, Amit M. Oza, Anna V. Tinker, Isabelle Laure Ray-Coquard, Ana Oaknin, Robert L. Coleman, Howard A. Burris, Carol Aghajanian, David M. O’Malley, Alexandra Léary, Stephen Welch, Diane Provencher, Geoffrey I. Shapiro, Lee-may Chen, Ronnie Shapira‐Frommer, Sandra Goble, Lara Maloney, Kevin Lin, Iain A. McNeish

Bibliographic record

VenueJournal of Clinical Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsOttawa Regional Cancer FoundationPrincess Margaret Cancer CentreCentre Hospitalier de l’Université de MontréalUniversity Health Network
Fundersnot available
KeywordsMedicineInternal medicineBRCA mutationOncologyPARP inhibitorOvarian cancerLoss of heterozygosityCancerPoly ADP ribose polymeraseAllelePolymeraseGeneticsGene

Abstract

fetched live from OpenAlex

6015 Background: Pts who derive durable benefit from PARP inhibitor treatment may provide insights into improving outcomes. Here we describe long-term responders from Study 10 (NCT01482715) and ARIEL2 (NCT01891344), studies of the PARP inhibitor rucaparib for the treatment of high-grade recurrent OC. Methods: This analysis included pts enrolled in Study 10 (Part 2A: BRCA1 or BRCA2 [ BRCA]-mutant OC, platinum sensitive, 2–4 prior chemotherapies; Part 2B: any platinum status, 3–4 prior chemotherapies) and ARIEL2 (Part 1: BRCA-mutant or wild-type OC, platinum sensitive; Part 2: any platinum status, 3–4 prior chemotherapies). Final results from Study 10 (n = 54) and ARIEL2 (n = 491) were pooled. Long-term responders were defined as pts with duration of response (DOR) > 1 y, and short-term responders as pts with DOR ≤ 20 weeks; responses were evaluated using RECIST. Targeted next-generation sequencing was used to detect deleterious mutations and loss of heterozygosity (LOH) in tumors. BRCA1 methylation was quantified by digital droplet PCR. Results: Overall, 25% (138/545) of enrolled pts were responders. Of these, 29% (40/138) had long-term responses, including 16/138 (12%) with DOR > 2 y; 21% (29/138) were short-term responders. Both groups received a median of 3 prior anticancer therapies. Among patients with BRCA mutations, BRCA homozygous deletion or rearrangement was detected in 15% (4/27) of long-term responders vs 0% (0/15) of short-term responders. In an expanded analysis of the 95 pts with BRCA mutations and confirmed response, pts with BRCA homozygous deletion or rearrangement had significantly longer DOR than pts with other mutation types (median 3.5 vs 0.6 y; HR = 0.30; p = 0.024). There was no apparent difference in BRCA gene or mutation location for long- vs short-term responders. Ten of the 13 long-term responders with BRCA wild-type OC had high genome-wide LOH (≥16% LOH), a genomic scar indicative of homologous recombination deficiency, including OC associated with BRCA1 hypermethylation (n = 2) and RAD51C/D mutations (n = 2). Conclusions: Long-term responders to rucaparib include OC with BRCA mutation, particularly homozygous deletion or rearrangements, which would not be susceptible to somatic reversion mutations, as well as BRCA1 hypermethylation, and RAD51C/D mutations. Clinical trial information: NCT01482715; NCT01891344.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.162
GPT teacher head0.486
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 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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Citations2
Published2020
Admission routes1
Has abstractyes

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