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Intratumoral INT230-6 (cisplatin, vinblastine, shao) alone or with ipilimumab prolonged survival with favorable safety in adults with refractory sarcomas.

2023· article· en· W4379644950 on OpenAlexaff
Christian F. Meyer, Matthew Ingham, James Hu, Giles F. Whalen, Jacob Thomas, Anthony B. El-Khoueiry, Diana L. Hanna, Luis H. Camacho, Anthony J. Olszanski, Nilofer S. Azad, Ian Walters, Lewis H. Bender, Lillian L. Siu, Albiruni Ryan Abdul Razak

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineCommon Terminology Criteria for Adverse EventsInternal medicineSarcomaOncologyVinblastineLeiomyosarcomaAdverse effectChemotherapyGastroenterologyPathology

Abstract

fetched live from OpenAlex

11568 Background: Sarcomas are a rare and diverse group of solid tumors from mesenchymal cells; chemotherapy provides limited benefit for metastatic disease. INT230-6 is a novel formulation of cisplatin (CIS), vinblastine (VIN) and a tissue dispersion enhancer (SHAO) designed for intratumoral (IT) delivery. The drug diffuses into cancer cells, causes apoptosis and recruits dendritic and T-cells to the tumor. Adding ipilimumab (IPI) appears to improve INT230-6 responses in models and clinically. The study evaluated INT230-6 for safety and efficacy alone and with intravenous (IV) IPI. Previously reported results showed INT230-6 alone induced tumor regression, T-cell influx and abscopal effects in uninjected lesions1,2. Methods: IT-01 is an open-label phase1/2 study in adults with locally advanced, unresectable or metastatic solid tumors, including sarcoma. INT230-6 dose was set by tumor diameter or volume. INT230-6 was dosed IT Q2W for up to 5 doses alone or with IPI at 3mg/kg Q3 weeks for 4 doses. Maintenance INT230-6 dosing was Q9W. Results: The study enrolled 29 sarcoma patients with 11 subtypes (mainly leiomyosarcoma, liposarcoma, pleomorphic, chondrosarcoma and chordoma). The maximum INT230-6 dose at a single visit was 175 mL (87.5 mg of CIS, 17.5 mg VIN) in 1 or more tumors, an amount that exceeds an IV dose of VIN or CIS. PK analysis shows that >95% of VIN stays in the tumor. The >20% treatment-related adverse events (TRAEs) in evaluable monotherapy patients (n=15) were localized pain (80%), nausea (40%), fatigue (33%), decreased appetite (27%), and vomiting (20%). The >20% TRAEs in evaluable IPI/INT230-6 patients (n=14) were fatigue (39%), localized pain (39%), nausea (31%), pruritus (23%), rash (23%) and vomiting. G3 TRAEs occurred in 20% and 7% of patients in the INT230-6 and combination arms respectively with no grade 4 or 5 events in either arm. RECIST metrics are confounded by IT injections due to the large volume of highly retained INT230-6 and the influx of immune infiltrates. Analysis of median overall survival (mOS) for INT230-6 alone (n=15) was 649 days. For INT230-6 dosed at a volume/total tumor burden (TTB) ratio of ≥40%, the mOS was 715 days. The mOS of the combination has not been reached with over 1 year of median follow-up. OS data compare favorably to a synthetic control (mOS of 205 days) based on historical data3. The hazard ratios of INT230-6 alone or with IPI for OS to the synthetic control were 0.446 and 0.270, p-values <0.01. Conclusions: INT230-6 dosed IT alone or with IPI was well-tolerated in diverse sarcomas. INT230-6 use was associated with immune infiltration and favorable mOS as compared to a synthetic control, particularly when ≥40% of the TTB was injected. A randomized phase 3 trial vs. SOC in selected sarcoma subtypes with an OS endpoint is planned. References: 1. Oncoimmunology. 2019 Jul 16;8(10). 2. ASCO 6/2022. 3. Sci Rep. 2016;6:35448. Clinical trial information: NCT03058289 .

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)0.000
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.083
GPT teacher head0.403
Teacher spread0.321 · 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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Citations4
Published2023
Admission routes1
Has abstractyes

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