Evidence map›Paper›PMID 39627822›Full record

ArticleJournal of translational medicine2024

Repurposing anti-mesothelin CAR-NK immunotherapy against colorectal cancer.

Erica Torchiaro, Marco Cortese, Consalvo Petti, Marco Basirico', Federica Invrea, Alice D'Andrea, Letizia Franco, Dario Sangiolo, Enzo Medico

Abstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Erica Torchiaro *Candiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy. erica.torchiaro@ircc.it.
Marco Cortese *Candiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy.
Consalvo PettiCandiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy.
Marco Basirico'Candiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy.
Federica InvreaCandiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy.
Alice D'AndreaCandiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy.
Letizia FrancoCandiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy.
Dario SangioloDepartment of Oncology, University of Turin, Candiolo, TO, Italy.
Enzo MedicoCandiolo Cancer Institute, FPO-IRCCS, Candiolo, TO, Italy. enzo.medico@ircc.it.ORCID 0000-0002-3917-2438

Funding

Associazione Italiana per la Ricerca sul Cancro 5 per Mille Metastasis - ID 21091CAR T Italia Project CAR-T Italian Project RCR-2019-23669115Fondazione Piemontese per la Ricerca sul Cancro-ONLUS 5x1000 Ministero della Salute 2015 "ImmunogenomicsFondazione Piemontese per la Ricerca sul Cancro-ONLUS CARESS 2024Fondazione Piemontese per la Ricerca sul Cancro-ONLUS SEE-HER 2017Ministero della Salute Progetto di Rete ACC 2019 - RCR 2020Progetto CAR-T_2 Progetto CAR-T_2 - RCR-2023-23684268
6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is the third most common cancer worldwide, with highly variable prognosis and response to treatment. A large subset of patients does not respond to standard treatments or develops resistance. As an alternative, adoptive immunotherapy based on chimeric antigen receptor (CAR)-transduced immune cells has been proposed, however with significant adverse events. We therefore evaluated alternative CAR targets already tested in other tumour types and employed the natural killer cell line NK-92 for CAR transduction because of its more favourable toxicity profile.

methodsAs an alternative antigen, we considered mesothelin (MSLN), the most represented target in CAR-based clinical studies for solid tumours. MSLN RNA expression was analysed in large series of CRC tumours (n = 640) and cell lines (n = 150), to evaluate its distribution and to identify MSLN-overexpressing models. NK-92 cells were transduced with anti-MSLN CAR, and subsequently sorted and cloned. Activity of CAR-NK-92 cells against target-expressing ovarian and CRC cells was assessed in vitro and in vivo. Statistical significance of efficacy was evaluated by t-test and log-rank test.

resultsLarge-scale expression analysis highlighted that about 10% of CRCs overexpress MSLN at levels comparable to those of ovarian cancer, a typical target of MSLN-CAR-based therapy. Intriguingly, MSLN overexpression is more frequent in poor prognosis and KRAS/BRAF-mutant CRC. Lentiviral transduction of NK-92 cells with the MSLN-CAR, followed by sorting and cloning, led to the identification of one clone, MSLN.CAR.NK-92.cl45, stably expressing the CAR and retaining the NK phenotype. As expected, the clone demonstrated significant in vitro and in vivo activity against ovarian cancer cells. When repurposed against models of CRC expressing high MSLN levels, it displayed comparable efficacy, both in vitro and in vivo. Specificity of the clone was confirmed by the absence of activity on control models with low or absent MSLN.

conclusionsOur results provide preclinical evidence that a subset of colorectal cancers expressing high mesothelin levels can be effectively targeted by MSLN-CAR-based immunotherapy. The potential therapeutic impact of these findings is enhanced by the fact that frequently MSLN-overexpressing CRCs display worse prognosis and resistance to standard care.

Indexed as

Colorectal NeoplasmsGPI-Linked ProteinsKiller Cells, NaturalMesothelinReceptors, Chimeric AntigenAnimalsCell Line, TumorDrug RepositioningFemaleGene Expression Regulation, NeoplasticHumansImmunotherapyImmunotherapy, AdoptiveGPI-Linked ProteinsMesothelinMSLN protein, humanReceptors, Chimeric Antigen

Identifiers

PMID39627822
PMCPMC11616334

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.