MétaCan
Menu
Back to cohort

Abstract CT169: First-in-human, phase 1/2 study of GSK4524101, an oral DNA polymerase theta inhibitor (POLQi), alone or combined with the poly(ADP-ribose) polymerase (PARP) inhibitor (PARPi) niraparib in adults with solid tumors

2024· article· en· W4393989000 on OpenAlexaboutno aff
Vivek Samnotra, V. V. Moroz, Luda Shtessel, Mita Kuchimanchi, Patrick Hanafin, Malar Pannirselvam, Aishwarya Bhaskar, Andrew W. Liu, Haluk Yuzugullu, Minal Barve, David Sommerhalder, Timothy A. Yap, Michele Sanicola-Nadel

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsnot available
Fundersnot available
KeywordsPARP inhibitorPoly ADP ribose polymerasePolymeraseMolecular biologyDNAChemistryBiologyBiochemistry

Abstract

fetched live from OpenAlex

Abstract Background: Double-stranded DNA breaks (DSBs) in human cells are typically repaired via nonhomologous end joining (NHEJ) or homologous recombination (HR). Deficiency of HR-mediated DNA repair plays a role in the initiation and progression of many tumor types. In tumors with HR deficiency, PARP inhibition leads to generation of DSBs that cannot be effectively repaired because of the HR defect, resulting in synthetic lethality. This finding has led to the clinical development and approval of several PARPi for the treatment of various tumors including certain ovarian, breast, prostate, and pancreatic cancers that are prone to display HR deficiency (HRd). DNA polymerase theta (encoded by POLQ) mediates an alternative DNA repair mechanism, microhomology-mediated end joining (MMEJ). DNA polymerase theta is generally not detectable in normal tissues but is upregulated in many tumor types. In preclinical studies, POLQi plus PARPi treatment demonstrated superior efficacy to PARPi alone in preventing the growth of HRd tumors. To evaluate the clinical potential of combining POLQi and PARPi, this first-in-human study investigates treatment with GSK4524101, an investigational POLQi, with or without the PARPi niraparib, in patients with solid tumors. Methods: This open-label, multicenter, phase 1/2 study (NCT06077877) opened in October 2023 and comprises dose-finding (part 1, including a food-effect cohort) and dose-expansion (part 2) parts. This trial aims to assess the maximum-tolerated dose, pharmacokinetics, safety, and preliminary antitumor activity of oral GSK4524101 with or without niraparib. The primary endpoints are safety (part 1) and confirmed objective response rate (part 2). Secondary endpoints include pharmacokinetics, safety, progression-free survival (part 2), and response duration (part 2). Up to 135 patients may be enrolled. To be eligible, patients must be aged ≥18 years; have an advanced or metastatic solid tumor, an Eastern Cooperative Oncology Group performance status score of 0-2, and a life expectancy of ≥3 months; and have exhausted all standard treatment options. Individuals are ineligible if they have not recovered from chemotherapy-associated adverse events or have symptomatic uncontrolled brain or leptomeningeal metastases, a history of myelodysplastic syndrome or acute myeloid leukemia, uncontrolled hypertension, or a second malignancy that has progressed or required active treatment in the previous 2 years. The study is actively recruiting in the US and Canada; as of January 1, 2024, 1 patient has been dosed. Patients enrolled in part 1 will receive GSK4524101 alone or GSK4524101 plus niraparib; patients enrolled in part 2 will be randomized to either GSK4524101 plus niraparib or niraparib alone. Part 1 of this study is expected to complete in 2025. Citation Format: Vivek Samnotra, Veronica Moroz, Luda Shtessel, Mita Kuchimanchi, Patrick Hanafin, Malar Pannirselvam, Aishwarya Bhaskar, Andrew Liu, Haluk Yuzugullu, Minal Barve, David Sommerhalder, Timothy Yap, Michele Sanicola-Nadel. First-in-human, phase 1/2 study of GSK4524101, an oral DNA polymerase theta inhibitor (POLQi), alone or combined with the poly(ADP-ribose) polymerase (PARP) inhibitor (PARPi) niraparib in adults with solid tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr CT169.

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 score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0110.002

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 head0.065
GPT teacher head0.419
Teacher spread0.354 · 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

Citations6
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCancer ResearchSame topicPARP inhibition in cancer therapyFrench-language works237,207