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A phase I/II trial investigating safety and efficacy of autologous TAC01-HER2 in relapsed or refractory solid tumors.

2024· article· en· W4391091436 on OpenAlexaff
Benjamin L. Schlechter, Ecaterina E. Dumbrava, Mridula George, Samuel D. Saibil, Marcus O. Butler, Antonio Giordano, Rishi Surana, Chih‐Yi Liao, Jordan Weiss, Brooke Pieke, Miriam Gavriliuc, Emily Lichtenstein, Maria Apostolopoulou, Courtney Burke, Bushra Qureshi, Deyaa R Adib, Daniel J. Olson

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineCytokine release syndromeChimeric antigen receptorInternal medicineImmunotherapyRefractory (planetary science)T cellOncologyPharmacokineticsChemotherapyLeukapheresisGastroenterologyImmunologyImmune systemCancerStem cellCD34

Abstract

fetched live from OpenAlex

747 Background: Despite therapeutic developments for patients with advanced HER2+ solid tumors, significant unmet medical needs still exist. The T cell antigen coupler (TAC) technology is an approach to modifying T cells ex vivo, which allows recognition and cytotoxicity of tumor cells by co-opting the natural T cell receptor. TAC T cells demonstrate a safer profile than chimeric antigen receptor T cells. TAC01-HER2 is an autologous T-cell product comprising T cells expressing HER2 TAC. Methods: The ongoing clinical trial (NCT04727151) is evaluating the safety and preliminary anti-tumor activity of TAC01-HER2 treatment of HER2+ solid tumors. Subjects undergo leukapheresis followed by low-intensity lymphodepletion chemotherapy prior to TAC01-HER2 infusion. In phase I dose escalation, TAC01-HER2 is administered at increasing doses (Cohorts 1-4) in adult subjects after ≥2 lines of therapy. Dose limiting toxicities (DLT) are assessed up to 28 days from TAC01-HER2 infusion. In Phase II, dose expansion groups will further evaluate the efficacy, safety, and pharmacokinetics of the optimal TAC01-HER2 dose in gastric/GEJ tumors. Results: As of 31 August 2023, 20 patients with solid tumors have been treated in Cohorts 1-4. Subjects had a median of 4 prior therapies (2-12) and all had maintained HER2 expression on central review at enrollment. Three subjects were HER2 1+ or 2+/FISH-. One DLT event of grade 3 (G3) pneumonitis has been reported in 1 subject in Cohort 4. No neurotoxicity has been reported. Most subjects treated at Cohorts 3-4 experienced cytokine release syndrome (CRS) which resolved with supportive therapy. Fifteen subjects have reported a total of 31 serious adverse events, with 1 G3 pneumonitis and 5 CRS (one G1, three G2 and one G3) related to TAC01-HER2. A 68.8% disease control rate (DCR) was observed in Cohorts 2-4 at first restaging after TAC01-HER2 infusion. For gastric/GEJ subjects of the same Cohorts, DCR was 85.7%. 3 months after TAC01-HER2 infusion, DCR was 30.8% for all subjects of Cohorts 2-4 and 28.6% for gastric/GEJ subjects. Two patients had a partial response (PR). At Cohort 4, a PR was observed in a subject with GEJ (HER2 2+, FISH+) with 100% reduction of target lesion. This patient had progressed on 4 prior lines of therapy including trastuzumab and trastuzumab deruxtecan. Conclusions: Treatment with TAC01-HER2 showed manageable safety and promising clinical activity in a heavily pre-treated cancer population. The recommended phase 2 dose was identified as dose level 4 (6-8 x 106 cells/kg). Clinical trial information: NCT04727151 .

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)0.002
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 score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
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 head0.187
GPT teacher head0.537
Teacher spread0.351 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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