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Phase 1 trial of gavocabtagene autoleucel (gavo-cel, TC-210) in patients (pts) with treatment refractory mesothelioma and other mesothelin-expressing solid tumors.

2023· article· en· W4379281047 on OpenAlexaff
Raffit Hassan, Marcus O. Butler, David Y. Oh, Roisin E. O’Cearbhaill, Lauren MacMullen, Erin Jeter, Udayan Guha, Viera P. Muzithras, Kevin Zikaras, Melissa L. Johnson, János L. Tanyi, Azam Ghafoor, Robert M. Tighe, Munisha Smalley, Alfonso Quintás‐Cardama, David S. Hong

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMesothelinMedicineMesotheliomaCancer researchOncologyOvarian cancerInternal medicineCancerGastroenterologyImmunologyPathology

Abstract

fetched live from OpenAlex

8537 Background: We have conducted a Phase 1 trial of gavo-cel, an autologous genetically engineered anti-mesothelin T cell receptor fusion construct (TRuC™) cell therapy in pts with refractory mesothelin-expressing mesothelioma (MPM), ovarian cancer (OvC), cholangiocarcinoma (CHO), or non-small cell lung cancer (NCT03907852). Methods: T cells were engineered with a lentiviral vector to express an anti-mesothelin single domain antibody fused to the CD3ε subunit, which upon translation, integrated into and reprogrammed native T cell receptors to target mesothelin-expressing cancer cells in an HLA-independent manner. Eligibility required central laboratory confirmation of 2+ or 3+ mesothelin expression by IHC in ≥50% of tumor cells. Dose escalation followed a modified 3+3 design. Results: At data cut-off date (January 17th, 2023), 32 pts (23 MPM, 8 OvC, 1 CHO) received a gavo-cel infusion at one of 7 dose levels (DL): DL0 (n = 1, no lymphodepletion [LD]) and DL1 (n = 8), 5x107 transduced cells/m2; DL2 (n = 1, no LD) and DL3 (n = 13), 1x108 transduced cells/m2; DL3.5 (n = 5), 3x108 transduced cells/m2; DL4 (n = 1, no LD) and DL5 (n = 3), 5x108 transduced cells/m2. Median number of prior therapies was 5 (range, 1-13), including immune checkpoint inhibitors (ICI) in 87% of MPM pts. Bridging therapy was required in 24 (75%) pts. Two DLTs were reported: grade (gr) 3 pneumonitis at DL1 and gr5 bronchoalveolar hemorrhage at DL5. At the RP2D (1x108/m2 after LD) 2/13 (15%) pts had reversible gr≥3 CRS. The ORR and disease control rate was 20% and 77%, respectively. The 6-month OS rate was 70.2%. The ORR of pts with MPM or OvC receiving gavo-cel after LD was 21% and 29%, respectively. The median PFS and OS in MPM was 5.6 and 11.1 mos and in OvC was 5.8 and 9.4 mos. Responses correlated with declines in soluble mesothelin related peptides. Peak expansion and persistence correlated with dose and LD administration. At the RP2D, the median Cmax was 14,385 copies/ug gDNA (range, 64.4–100,782) and the median peripheral blood (PB) persistence was 84 days (range: 0-170). Consistent elevation in IL-6 and IFN-γ levels but minimal IL-8 and TNF-α were observed. Gavo-cel expanded preferentially in cancerous tissues, where it was detected long after becoming undetectable in PB. Gavo-cel therapy led to increased CD3+CD8+ T cell tumor infiltration. Non-responders exhibited upregulation of immunoinhibitory ligands (CD155, PDL1), indicating potential resistance mechanisms. Conclusions: A single IV gavo-cel infusion at the RP2D was associated with a manageable toxicity profile and high rates of disease control, including objective responses in pts with refractory MPM and OvC. A phase 2 study is underway testing the safety and efficacy of gavo-cel in combination with checkpoint inhibitors in pts with mesothelin-expressing solid tumors. Clinical trial information: NCT03907852 .

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)0.000
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.168
GPT teacher head0.508
Teacher spread0.340 · 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

Citations5
Published2023
Admission routes1
Has abstractyes

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