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Exactis-03: A phase I trial of the combination of olaparib and navitoclax in women with high grade serous ovarian cancer and triple negative breast cancer.

2023· article· en· W4379281665 on OpenAlexaff
Helen Mackay, Anne‐Marie Mes‐Masson, Françis Rodier, Stéphanie Lheureux, Katarzyna J. Jerzak, Saima Hassan, Rossanna C. Pezo, Suzan McNamara, Yasmine Madagh-Biskri, Diane Provencher

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsUniversity of TorontoPrincess Margaret Cancer CentreUniversité de MontréalCentre Hospitalier de l’Université de MontréalHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsOlaparibTriple-negative breast cancerMedicineOvarian cancerPARP inhibitorPALB2Cancer researchCancerBRCA mutationOncologyBreast cancerInternal medicineGermline mutationBiologyMutationGenetics

Abstract

fetched live from OpenAlex

TPS5623 Background: Identifying new therapeutic options for patients (pts) with high grade serous ovarian cancer (HGSC) and triple negative breast cancer (TNBC) is a priority. For pts with pathogenic variants in BRCA, the PARP inhibitor (PARPi) olaparib is used to treat TNBC and as maintenance for HGSC. PARPi can induce a senescence-like phenotype in cancer cells with cell survival dependent on anti-apoptotic proteins. The intrinsic apoptotic pathway is regulated by the Bcl-2 family composed of anti-apoptotic proteins (including Bcl-2, Bcl-xL), pro-apoptotic effectors and the pro-apoptotic BH3-only proteins. Increased expression of Bcl-xL occurs in 88% of HGSC. Olaparib and navitoclax, a Bcl-2/Bcl-xL inhibitor, are synergistic in pre clinical models of HGSC and TNBC. Exactis- 03 investigates targeting, olaparib-induced sensecence as a treatment strategy for pts with HGSC and TNBC. Methods: Exactis-03 is a multi-centre phase I trial determining if olaparib can be safely combined with navitoclax in pts with TNBC who have somatic or germline mutations in BRCA1/2 or PALB2 and pts with recurrent HGSC who have progressed ≥ 6 months since their last platinum based chemotherapy. Additional eligibility criteria include : ≥3 prior lines of treatment for TNBC (no limit for HGSC); for pts with HGSC prior PARPi is allowed provided there was no progression on or ≤6 months since discontinuation of the PARPi; ECOG PS ≤2; ability to absorb study medication and pts must be willing and able to undergo study related procedures. The primary endpoint is identification of the recommended phase II dose (RP2D) of olaparib combined with navitoclax. Olaparib 200mg bid is administered alone for the first 2 weeks. Tumor biopsies will be performed at baseline and on day 7-12 (prior to navitoclax) to evaluate senescence and apoptosis biomarkers and to create 3D organoids and ex vivo microdissected tumor (MDT) models for functional assessment of drug response. Navitoclax is dose escalated with a fixed dose of olaparib in 28-day cycles with 3 pts initially treated at each dose level. If no dose limiting toxicity (DLT) is observed, the dose level will be escalated until ≥ 1/3 or ≥ 2/6 patients experience DLT. The RP2D will be defined as the dose level below the one where ≥ 1/3 or ≥ 2/6 patients experience DLT. The 2-week lead-in with olaparib alone and one full cycle of the combination (navitoclax/olaparib) must be completed before dose escalation is permitted. Blood samples are collected for pharmacokinetics and serial evaluation of plasma biomarkers. There is an optional tumor biopsy on progression. Exploratory objectives include determining levels of pro- and anti- apoptotic proteins in biopsy samples and evaluation of cell fate decision biomarkers in biopsy tissue and blood (senescence secretome). Patient-derived organoids and ex vivo MDT will be used to explore drug response and sequencing (NCT05358639). Clinical trial information: NCT05358639 .

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 score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.094
GPT teacher head0.469
Teacher spread0.375 · 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".

Quick stats

Citations4
Published2023
Admission routes1
Has abstractyes

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