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Pharmacokinetic (PK) and pharmacodynamic (PD) findings from a phase 1b study of ATR inhibitor tuvusertib + anti-PD-L1 avelumab in patients with advanced unresectable solid tumors.

2024· article· en· W4399662535 on OpenAlexaff
Anthony W. Tolcher, Lillian L. Siu, Elena Garralda, Valentina Boni, Enrique Sanz Garcia, Jesús Fuentes‐Antrás, Omar Saavedra, Anna Coenen-Stass, Giuseppe Locatelli, Deepthi S. Vagge, Burak Kürsad Günhan, Gregory Pennock, Jatinder Kaur Mukker, Ioannis Gounaris, Timothy A. Yap

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicCancer Mechanisms and Therapy
Canadian institutionsPrincess Margaret Cancer Centre
FundersEMD Serono
KeywordsMedicinePharmacokineticsAvelumabPharmacodynamicsPharmacologySolid tumorOncologyInternal medicineCancerPembrolizumabImmunotherapy

Abstract

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2614 Background: Ataxia telangiectasia and Rad3-related protein (ATR) kinase is critical in the DNA damage response, and its inhibition modulates antitumor immunity. The combination of ATR inhibitor (ATRi) + immune checkpoint inhibitor (ICI) has shown activity in patients with ICI-resistant tumors and may have the potential to overcome ICI resistance and induce antitumor immune responses. Methods: Part B1 of the open-label, multicenter study DDRiver Solid Tumors 320 investigated safety, tolerability, PK, and PD, including effects on immune cells, of ATRi tuvusertib in combination with the ICI avelumab (anti-PD-L1) in patients with advanced unresectable solid tumors. Flow cytometry was used to analyze tuvusertib target inhibition via γ-H2AX modulation in the CD45+ fraction of ex-vivo stimulated peripheral blood mononuclear cells, and to explore the effect on the peripheral immunophenotype. Tuvusertib PK samples were analyzed by a validated bioanalytical liquid chromatography/mass spectrometry method. Results: 22 patients were enrolled and treated with tuvusertib 180 mg once daily on a schedule of 2 weeks (w) on treatment followed by a treatment break of 1 or 2 w, and avelumab 800 mg once every 2 weeks (Q2W). The 2 w on/1 w off schedule, corresponding to the recommended dose for expansion (RDE) for tuvusertib monotherapy, was chosen for further exploration. At this schedule, 2 of 9 patients evaluable for dose-limiting toxicity (DLT) experienced DLTs: Grade 3 ALT and Grade 3 AST increase (n=1), and Grade 3 anemia requiring transfusion (n=1). A patient with chordoma experienced a RECIST v1.1 partial response. Preliminary PK data for tuvusertib suggested rapid absorption with median Tmax range of ~2–3 h and mean elimination half-life range of ~2.93 to 4.23 h, with ~2-fold accumulation of steady-state area-under-the-curve following multiple doses. Exposure of tuvusertib in combination with avelumab was consistent with tuvusertib monotherapy exposure (1). PD showed complete or almost complete target inhibition at 1–6 h after tuvusertib 180 mg followed by rebound above baseline after 24 h on days 1 and 8 of cycle 1. No clear trend of variation in absolute counts of myeloid-derived suppressor cells, T and B lymphocytes, monocytes, and natural killer cell subtypes was detected. Conclusions: Tuvusertib and avelumab were combined at established monotherapy doses with no new safety findings. Tuvusertib PD and exposure data were in line with monotherapy observations. The combination did not cause any consistent change of the immunophenotype. Given the accumulating evidence of ATRi as an immunosensitiser (2), further evaluation of this combination in patients with ICI-resistant advanced solid tumors is warranted. 1. Yap T et al., Ann Oncol 2022;33(suppl_7):S197–S224. 2. Besse B et al., JTO 2022;17(suppl_9):S41–S42. Clinical trial information: NCT05396833 .

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.038
GPT teacher head0.455
Teacher spread0.416 · 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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Citations2
Published2024
Admission routes1
Has abstractyes

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