Evidence map›Paper›PMID 38992782›Full record

ArticleStem cell research & therapy2024

Modified mesenchymal stromal cells by in vitro transcribed mRNA: a therapeutic strategy for hepatocellular carcinoma.

María José Cantero, Barbara Bueloni, Lucrecia Gonzalez Llamazares, Esteban Fiore, Lucia Lameroli, Catalina Atorrasagasti, Guillermo Mazzolini, Mariana Malvicini, Juan Bayo, Mariana G García

Abstract read
In one paragraph

Article in Stem cell research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  6. 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

10 authors.

María José CanteroExperimental Hepatology and Gene Therapy Program, Instituto de Investigaciones en Medicina Traslacional (IIMT), Universidad Austral - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
Barbara BueloniExperimental Hepatology and Gene Therapy Program, Instituto de Investigaciones en Medicina Traslacional (IIMT), Universidad Austral - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
Lucrecia Gonzalez LlamazaresExperimental Hepatology and Gene Therapy Program, Instituto de Investigaciones en Medicina Traslacional (IIMT), Universidad Austral - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
Esteban FioreExperimental Hepatology and Gene Therapy Program, Instituto de Investigaciones en Medicina Traslacional (IIMT), Universidad Austral - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
Lucia LameroliExperimental Hepatology and Gene Therapy Program, Instituto de Investigaciones en Medicina Traslacional (IIMT), Universidad Austral - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
Catalina AtorrasagastiExperimental Hepatology and Gene Therapy Program, Instituto de Investigaciones en Medicina Traslacional (IIMT), Universidad Austral - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
Guillermo MazzoliniExperimental Hepatology and Gene Therapy Program, Instituto de Investigaciones en Medicina Traslacional (IIMT), Universidad Austral - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
Mariana Malvicini *Cancer Immunobiology Laboratory, IIMT, Universidad Austral - CONICET, Buenos Aires, Argentina.
Juan Bayo *Experimental Hepatology and Gene Therapy Program, Instituto de Investigaciones en Medicina Traslacional (IIMT), Universidad Austral - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
Mariana G García *Experimental Hepatology and Gene Therapy Program, Instituto de Investigaciones en Medicina Traslacional (IIMT), Universidad Austral - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina. margarci@austral.edu.ar.ORCID 0000-0001-8999-5347

Funding

Agencia Nacional de Promoción Científica y Tecnológica PICT2018-1036Agencia Nacional de Promoción Científica y Tecnológica PICT2018-4053Agencia Nacional de Promoción Científica y Tecnológica PICT2019-01716Agencia Nacional de Promoción Científica y Tecnológica PICT2019-3282Agencia Nacional de Promoción Científica y Tecnológica PICT2021-0164Agencia Nacional de Promoción Científica y Tecnológica PICT2021-GRF-TI-00397Agencia Nacional de Promoción Científica y Tecnológica PICT2021-GRF-TII-00283Agencia Nacional de Promoción Científica y Tecnológica PICT2021-I-A-00975Consejo Nacional de Investigaciones Científicas y Técnicas PIBAA 2022-2023
6 · The paper itself

Abstract

backgroundMesenchymal stromal cells (MSCs) tropism for tumours allows their use as carriers of antitumoural factors and in vitro transcribed mRNA (IVT mRNA) is a promising tool for effective transient expression without insertional mutagenesis risk. Granulocyte-macrophage colony-stimulating factor (GM-CSF) is a cytokine with antitumor properties by stimulating the specific immune response. The aim of this work was to generate modified MSCs by IVT mRNA transfection to overexpress GM-CSF and determine their therapeutic effect alone or in combination with doxorubicin (Dox) in a murine model of hepatocellular carcinoma (HCC).

methodsDsRed or GM-CSF IVT mRNAs were generated from a cDNA template designed with specific primers followed by reverse transcription. Lipofectamine was used to transfect MSCs with DsRed (MSC/DsRed) or GM-CSF IVT mRNA (MSC/GM-CSF). Gene expression and cell surface markers were determined by flow cytometry. GM-CSF secretion was determined by ELISA. For in vitro experiments, the J774 macrophage line and bone marrow monocytes from mice were used to test GM-CSF function. An HCC model was developed by subcutaneous inoculation (s.c.) of Hepa129 cells into C3H/HeN mice. After s.c. injection of MSC/GM-CSF, Dox, or their combination, tumour size and mouse survival were evaluated. Tumour samples were collected for mRNA analysis and flow cytometry.

resultsDsRed expression by MSCs was observed from 2 h to 15 days after IVT mRNA transfection. Tumour growth remained unaltered after the administration of DsRed-expressing MSCs in a murine model of HCC and MSCs expressing GM-CSF maintained their phenotypic characteristic and migration capability. GM-CSF secreted by modified MSCs induced the differentiation of murine monocytes to dendritic cells and promoted a proinflammatory phenotype in the J774 macrophage cell line. In vivo, MSC/GM-CSF in combination with Dox strongly reduced HCC tumour growth in C3H/HeN mice and extended mouse survival in comparison with individual treatments. In addition, the tumours in the MSC/GM-CSF + Dox treated group exhibited elevated expression of proinflammatory genes and increased infiltration of CD8 + T cells and macrophages.

conclusionsOur results showed that IVT mRNA transfection is a suitable strategy for obtaining modified MSCs for therapeutic purposes. MSC/GM-CSF in combination with low doses of Dox led to a synergistic effect by increasing the proinflammatory tumour microenvironment, enhancing the antitumoural response in HCC.

Indexed as

Carcinoma, HepatocellularDoxorubicinGranulocyte-Macrophage Colony-Stimulating FactorLiver NeoplasmsMesenchymal Stem CellsRNA, MessengerAnimalsCell Line, TumorHumansMesenchymal Stem Cell TransplantationMiceMice, Inbred C3HTransfectionDoxorubicinGranulocyte-Macrophage Colony-Stimulating FactorRNA, MessengerGranulocyte-macrophage colony-stimulating factorHepatocellular carcinomaImmunogenic cell deathImmunotherapyIn vitro transcribed mRNAMesenchymal stromal cell

Identifiers

PMID38992782
PMCPMC11241816

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Registered trials

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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.