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First-in-human (FIH) phase I study of the highly selective phosphoinositide 3-kinase inhibitor delta (PI3Kδ) inhibitor IOA-244 in patients with advanced cancer: Safety, activity, pharmacokinetic (PK), and pharmacodynamic (PD) results.

2022· article· en· W4281710573 on OpenAlexaff
Anna Maria Di Giacomo, Federica Santangelo, Giovanni Amato, Elena Simonetti, Jill Graham, Michael Lahn, Lars Anders van der Veen, Zoë Johnson, Catherine Anne Pickering, Marco Durini, Ziyang Tan, Tadepally Lakshmikanth, Petter Brodin, Mariaelena Occhipinti, Matteo Simonelli, Carmelo Carlo‐Stella, Armando Santoro, Pavlina Spiliopoulou, T.R. Jeffry Evans, Michele Maio

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineAdverse effectPharmacodynamicsPharmacokineticsMelanomaImmune systemDiscontinuationCancerPharmacologyOncologyToxicityInternal medicineImmunologyCancer research

Abstract

fetched live from OpenAlex

3107 Background: T regulatory (Tregs) cells contribute to immune suppression in cancer. The highly selective inhibitor of PI3Kδ, IOA-244, blocks the activity of Tregs among other things, thus reprograms the anti-tumor immune response. Methods: IOA-244 was investigated in a two-part FIH study. Part A explored the continuous daily dosing of IOA-244 at 10, 20, 40 and 80 mg. Part B consists of expansion cohorts of specific tumor indications, including pre-treated uveal melanoma patients (pts). Primary objective: safety of the anticipated biologically effective dose (BED), or the recommended phase 2 dose (RP2D). Secondary objectives: PK; PD (e.g., inhibition of CD63 expression on basophils, changes in immune cell subsets in peripheral blood); RECIST 1.1.-based responses; PFS and OS. Exploratory studies: changes in circulating immune cells by Cytometry by Time of Flight (CyTOF); response assessments by radiomics Results: Part A Solid Tumor (completed): Sixteen pts were treated in 4 cohorts each with 4 pts. Pts characteristics: uveal melanoma (9/16; 56%), cutaneous melanoma (5/16; 31%) and pleural mesothelioma (2/16; 13%). Four pts had at least one serious TEAE, none considered related to IOA-244. There was no treatment-emergent adverse events (TEAE) leading to study drug discontinuation, immune related toxicity or Dose Limiting Toxicity. CTCAE v5 Grade 1 and 2 were observed, including 2 cases of transient diarrhoea and 2 of AST/ALT elevation. Part A (Completed) – Subgroup Uveal Melanoma Pts (progressed ≥1 line prior therapy): 9 pts treated (3/9 pts ongoing). Mean time on treatment: 7.7 mo (range: 1.8-16.0 mo with 3 pts ongoing). ORR (RECIST 1.1): CR+PR: 0/9 (0%); SD: 6/9 (67%). Median OS: 5.4 mo - not determined (% alive at 1 year: 44% with 3 pts ongoing). CT images from 7/9 patients were assessed for changes in their metastatic lesions by radiomics (baseline and Week 8). Based on 147 matched lesions, 19% had complete responses and 16% had new lesions. In the liver, non-progressive disease was observed in 61% of all lesions, including 42% with either complete response or volume reduction of more than 30%. Using CyTOF, circulating Tregs were reduced while CD8 and NK cells were increased. Part B Uveal Melanoma Expansion Cohort (ongoing): 7 patients (7/7 pts ongoing); mean time on treatment 3.7 mo. ORR (RECIST 1.1): SD in 4/7 pts (57%). Part A Follicular Lymphoma Cohort (ongoing): At 20 mg: 4/4 pts. No DLT. At 80 mg: recruiting. Conclusions: In addition to being well tolerated, IOA-244 at the 80 mg dose shows reduction in peripheral blood Tregs and anti-tumor responses based on radiomics. Therefore, RECIST 1.1.-derived SD may underestimate anti-tumor activity of IOA-244 in treatment-resistant uveal melanoma. Additional patients will be treated to further refine this radiomics-based observation. Clinical trial information: NCT04328844.

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 head0.031
GPT teacher head0.402
Teacher spread0.371 · 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

Citations7
Published2022
Admission routes1
Has abstractyes

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