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

2023· article· en· W4379283040 on OpenAlexaff
Benjamin L. Schlechter, Daniel J. Olson, Mridula George, Sam Saibil, Antonio Giordano, Riemke Bouvier, Miriam Gavriliuc, Brooke Pieke, Kelly Gruber, Emily Lichtenstein, Maria Apostolopoulou, Kara M. Moss, Nathan Ternus, Deyaa R Adib, Ecaterina E. Dumbrava

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineChimeric antigen receptorBreast cancerImmunotherapyCancerCancer researchLeukapheresisT cellOncologyInternal medicineImmunologyImmune systemStem cellCD34

Abstract

fetched live from OpenAlex

2519 Background: Despite recent therapeutic developments for patients with advanced, metastatic, unresectable HER2+ solid cancers, significant unmet medical needs still exist, especially in tumors other than breast and gastric. The T cell antigen coupler (TAC) technology is a novel approach to modifying T cells, allowing them to recognize and treat HER2+ solid tumors. The TAC receptor redirects T cells to tumor cells, and upon tumor cell recognition, co-opts the natural T cell receptor (TCR) to yield safer anti-tumor responses versus chimeric antigen receptor (CAR) T cells. In preclinical studies, TAC T cells led to complete tumor clearance in mouse models of human cancer, without any TAC-related toxicities. Methods: In the ongoing clinical trial (NCT04727151), TAC01-HER2 treatment of HER2+ solid tumors is hypothesized to result in safe and effective anti-tumor responses. Subjects undergo leukapheresis, bridging therapy (if needed) while their TAC01-HER2 are engineered, lymphodepletion chemotherapy (LDC), and finally TAC01-HER2 infusion. In phase I dose escalation, the primary objective is to evaluate the safety of TAC01-HER2 at increasing doses of 0.3, 0.8, 3, and 8 x 106 cells/kg in HER2+ solid tumors (1+, 2+ or 3+ as identified by immunohistochemistry) in adult subjects who have progressed after ≥2 lines of systemic therapy. Dose limiting toxicities (DLTs) are assessed up to 28 days from cell infusion. In Phase II, dose expansion groups will further evaluate the safety, efficacy, and pharmacokinetics of the optimal TAC01-HER2 dose in HER2+ breast and other solid tumor types. Results: As of 10 Feb 2023, 18 patients have been treated in Cohorts 1-4 with breast, colorectal, gall bladder, gastroesophageal junction, gastric, esophageal, lung, and ovarian cancers. One DLT event of grade 3 pneumonitis has been reported in one subject in Cohort 4 (8 x 106 cells/kg). No neurotoxicity has been reported. Most subjects treated at Cohorts 3 and 4 experienced Grade ≤2 CRS which resolved with standard therapy. Twelve subjects have reported a total of 21 serious adverse events, 17 unrelated to TAC01-HER2 except for one Grade 3 pneumonitis, one Grade 1 and two Grade 2 CRS. Most adverse events were related to LDC or the underlying malignancy. At Cohort 2 (0.8 x 106 cells/kg), a partial response was observed in a subject with refractory metastatic gastric adenocarcinoma (3+ HER2) at 1st scan, with a 35% reduction in measurable disease and clinical benefit was maintained for 4 months. A 55% disease control rate was observed at Cohorts 2-4 at 1st scan. Conclusions: Dose escalation of TAC01-HER2 is ongoing, with seven subjects treated and three more scheduled in Cohort 4. These results in a heavily pre-treated cancer population show manageable safety and promising clinical activity with a novel T cell therapy that may have broad clinical applicability in HER+ cancers. 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 score0.017

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 integrity0.0020.003
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 head0.225
GPT teacher head0.541
Teacher spread0.317 · 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
Published2023
Admission routes1
Has abstractyes

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