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Clinical outcomes and correlation with longitudinal circulating tumor (ct)DNA dynamics of a phase I/II study of GSK525762 combined with fulvestrant in patients with hormone receptor-positive/HER2-negative (HR+/HER2−) advanced or metastatic breast cancer.

2023· article· en· W4379285707 on OpenAlexaff
David W. Cescon, John Hilton, Kirsty Hicks, Qu Zhang, Olena Barbash, Arindam Dhar, Mafalda Oliveira, Joseph A. Sparano

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Degradation and Inhibitors
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoOttawa HospitalUniversity Health Network
Fundersnot available
KeywordsMedicineFulvestrantDysgeusiaInternal medicinePharmacodynamicsOncologyAromatase inhibitorMetastatic breast cancerExemestaneTolerabilityAdverse effectCancerBreast cancerPharmacologyEstrogen receptorPharmacokineticsAromatase

Abstract

fetched live from OpenAlex

1073 Background: Endocrine therapy is the main treatment option for hormone receptor-positive and human epidermal growth factor receptor 2-negative (HR+/HER2−) metastatic breast cancer (mBC). However, many patients experience disease progression due to resistance to endocrine therapy. Molibresib (GSK525762) is a small-molecule inhibitor of bromodomain and extra-terminal (BET) family proteins (BRD2, BRD3, BRD4, and BRDT). Pre-clinical data suggested that the combination of molibresib with endocrine therapy might overcome endocrine resistance. This study aimed to investigate the safety, tolerability, pharmacokinetics, pharmacodynamics, and efficacy (objective response rate [ORR]) of molibresib combined with fulvestrant in women with HR+/HER2− mBC. The association between early ctDNA dynamics and clinical outcomes was also assessed. Methods: In this phase I/II dose-escalation and expansion study, patients received oral molibresib 60 mg or 80 mg once daily in combination with intramuscular fulvestrant. Patients enrolled had relapsed/refractory, advanced/metastatic HR+/HER2− BC with disease progression on prior treatment with an aromatase inhibitor, with or without a cyclin-dependent kinase 4/6 (CDK4/6) inhibitor. Baseline and week 4 plasma samples were collected and tested using a 74-gene ctDNA panel. Molecular response (MR) was defined as at least 50% reduction of baseline ctDNA level calculated as the average allele frequency of detected single nucleotide variants or indels. Results: The study included 123 patients. The 3 most common molibresib-related adverse events (AEs) were nausea (52%), dysgeusia (49%), and fatigue (44%). At molibresib 60 mg, >90% patients experienced treatment-related AEs, with varying incidence of Grade ≥3 AEs (17%–71%) amongst subgroups. The ORR was 13% (95% confidence interval [CI], 8–20), not meeting the 25% threshold for proceeding to phase II. Among 82 patients with detected baseline circulating tumor DNA, a strong association was observed between baseline copy number amplification (CNA) presence and poor progression-free survival (PFS) with hazard ratio (HR) of 2.89 (95% CI, 1.73–4.83; P < 0.0001). MR was significantly correlated with better PFS (HR=0.38; 95% CI, 0.19–0.75; P = 0.0037), which was further improved when MR was refined as no baseline CNA (HR=0.22; 95% CI, 0.09–0.54; P = 0.0003). Conclusions: Molibresib in combination with fulvestrant did not demonstrate clinically meaningful activity in this study. Copy number adjusted ctDNA MR is a promising early marker for clinical benefit. Clinical trial information: NCT02964507 .

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 score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.393
Teacher spread0.356 · 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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Citations0
Published2023
Admission routes1
Has abstractyes

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