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A phase 1/2 dose escalation study of the oral DNA polymerase theta inhibitor (POLQi) GSK4524101 ± niraparib in adults with advanced or metastatic solid tumors.

2025· article· en· W4410822217 on OpenAlexaffabout
Vivek Samnotra, J Belotte, V. V. Moroz, Luda Shtessel, Patrick Hanafin, Malar Pannirselvam, Aishwarya Bhaskar, Anu Shilpa Krishnatry, Debra Rogan, Haluk Yuzugullu, Minal Barve, Philippe L. Bédard, Quincy S. Chu, Pamela N. Münster, Alexander I. Spira, Ramy Saleh, David Sommerhalder, Timothy A. Yap, Brian Andrew Van Tine, Michele Sanicola-Nadel

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsMcGill University Health CentrePrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsMedicineCancer researchInternal medicineOncology

Abstract

fetched live from OpenAlex

TPS3174 Background: In homologous recombination-deficient (HRd) tumors, use of a PARP inhibitor (PARPi) leads to generation of DNA breaks that cannot be effectively repaired, thus selectively killing cancer cells via synthetic lethality. An alternative DNA repair mechanism, microhomology-mediated end joining, is mediated by DNA polymerase theta (encoded by POLQ ). In preclinical studies, POLQi + PARPi demonstrated superior efficacy vs PARPi alone in preventing HRd tumor growth. To evaluate the clinical potential of this combination, this first-in-human study investigates treatment with GSK4524101, an investigational POLQi, and niraparib, a PARPi, in patients with solid tumors. Methods: This open-label, phase 1/2, multicenter study opened in October 2023 and includes a phase 1a/b, dose-escalation portion (part 1; potential enrollment to n≈75). Sites in the US and Canada are enrolling patients for part 1, which aims to assess the maximum tolerated dose, pharmacokinetics (PK), and safety of oral GSK4524101 ± oral niraparib. Eligibility criteria include age ≥18 years, Eastern Cooperative Oncology Group performance status of 0–2, life expectancy ≥3 months, and diagnosis of advanced or metastatic solid tumor with all standard-of-care treatment options exhausted. Exclusion criteria include unresolved chemotherapy-induced adverse events (AEs) or symptomatic uncontrolled brain or leptomeningeal metastases, uncontrolled hypertension, history of myelodysplastic syndrome or acute myeloid leukemia, or another malignancy that has progressed or required active treatment in the past 2 years. Outcome measures include dose-limiting toxicity (DLT) incidence during the DLT observation periods (up to 28 days; primary); treatment-emergent AEs (TEAEs) and serious AEs (SAEs); percentage of patients receiving all planned doses; and percentage of patients requiring AE-related dose interruptions, reductions, and discontinuations in the DLT observation period. Secondary endpoints include the PK of niraparib and the metabolite of GSK4524101 and incidence and duration of TEAEs and SAEs beyond the DLT observation period. The study is currently recruiting, with 17 patients having received doses across 9 sites in 2 countries as of January 10, 2025. Clinical trial information: NCT06077877 .

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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.095
GPT teacher head0.508
Teacher spread0.413 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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