Evidence map›Paper›PMID 38180524›Full record

ArticleCancer immunology, immunotherapy : CII2024

Oncolytic adenovirus coding for shedding-resistant MICA enhances immune responses against tumors.

M Costa-Garcia, J J Rojas, M D Ramos, P Barlabé, P Calvo, J Navas, R Alemany, R Moreno

Open access · goldAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
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  4. Review
  5. 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

8 authors at 1 institution in 1 country.

M Costa-GarciaCancer Immunotherapy Group, Oncobell and iProCURE programs, IDIBELL-Institut Català d'Oncologia, l'Hospitalet de Llobregat, Barcelona, Spain.ORCID http://orcid.org/0000-0002-1930-6048
J J RojasImmunology Unit, Department of Pathology and Experimental Therapies, School of Medicine, University of Barcelona-UB, Barcelona, Spain.ORCID http://orcid.org/0000-0002-3705-6767
M D RamosCancer Immunotherapy Group, Oncobell and iProCURE programs, IDIBELL-Institut Català d'Oncologia, l'Hospitalet de Llobregat, Barcelona, Spain.
P BarlabéCancer Immunotherapy Group, Oncobell and iProCURE programs, IDIBELL-Institut Català d'Oncologia, l'Hospitalet de Llobregat, Barcelona, Spain.ORCID http://orcid.org/0000-0002-1559-6498
P CalvoCancer Immunotherapy Group, Oncobell and iProCURE programs, IDIBELL-Institut Català d'Oncologia, l'Hospitalet de Llobregat, Barcelona, Spain.
J NavasCancer Immunotherapy Group, Oncobell and iProCURE programs, IDIBELL-Institut Català d'Oncologia, l'Hospitalet de Llobregat, Barcelona, Spain.
R AlemanyCancer Immunotherapy Group, Oncobell and iProCURE programs, IDIBELL-Institut Català d'Oncologia, l'Hospitalet de Llobregat, Barcelona, Spain.ORCID http://orcid.org/0000-0001-8660-550X
R MorenoCancer Immunotherapy Group, Oncobell and iProCURE programs, IDIBELL-Institut Català d'Oncologia, l'Hospitalet de Llobregat, Barcelona, Spain. rafamoreno@iconcologia.net.ORCID http://orcid.org/0000-0001-9957-3105
Institut d'Investigació Biomédica de Bellvitge · ES

Funding

Fundación Científica Asociación Española Contra el Cáncer IDEAS21912MOREGeneralitat de Cataluña 2021SGR00895Instituto de Salud Carlos III RD21/0017/0032
6 · The paper itself

Abstract

Cancer immunotherapies strive to overcome tumor-induced immune suppression and activate antitumor immune responses. Although cytotoxic T lymphocytes (CTLs) play a pivotal role in this process, natural killer (NK) cells have also demonstrated remarkable tumor-killing abilities, given their ability to discriminate tumor cells from normal cells and mediate specific antitumoral cytotoxicity. NK cells activation depends on a balance between activation and inhibition signals from several ligands/receptors. Among them, MICA/NKG2D axis is a master regulator of NK activation. MHC class I chain-related polypeptide A (MICA) expression is upregulated by many tumor cell lines and primary tumors and serves as a ligand for the activating NK group 2D (NKG2D) receptor on NK cells and subpopulations of T cells. However, cancer cells can cleave MICA, making it soluble and de-targeting tumor cells from NK cells, leading to tumor immune escape.In this study, we present ICOVIR15KK-MICAMut, an oncolytic adenovirus (OAdv) armed with a transgene encoding a non-cleavable MICA to promote NK-mediated cell-killing capacity and activate the immune response against cancer cells. We first demonstrated the correct MICA overexpression from infected cells. Moreover, our MICA-expressing OAdv promotes higher NK activation and killing capacity than the non-armed virus in vitro. In addition, the armed virus also demonstrated significant antitumor activity in immunodeficient mice in the presence of human PBMCs, indicating the activation of human NK cells. Finally, OAdv-MICA overexpression in immunocompetent tumor-bearing mice elicits tumor-specific immune response resulting in a greater tumor growth control.In summary, this study highlights the significance of NK cells in cancer immunotherapy and presents an innovative approach using a modified oncolytic virus to enhance NK cell activation and antitumor immune response. These findings suggest promising potential for future research and clinical applications.

Indexed as

AdenoviridaeNK Cell Lectin-Like Receptor Subfamily KAnimalsGenes, MHC Class IHumansLymphocyte ActivationMiceTumor EscapeNK Cell Lectin-Like Receptor Subfamily KCancerImmunotherapyMICANK cellsOncolytic adenovirus

Identifiers

PMID38180524
PMCPMC10770194
OpenAlexW4390614203

What OpenQuestion holds

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LicenceCC BY
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.