Evidence map›Paper›PMID 35193929›Full record

ArticleJournal for immunotherapy of cancer2022

Oncolytic adenovirus decreases the proportion of TIM-3

Ilkka Liikanen, Saru Basnet, Dafne C A Quixabeira, Kristian Taipale, Otto Hemminki, Minna Oksanen, Matti Kankainen, Juuso Juhila, Anna Kanerva, Timo Joensuu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 19 citations in OpenAlex.

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  13. Viral Vector-Based Gene Therapy.International journal of molecular sciences · 2023
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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

12 authors at 2 institutions in 3 countries.

Ilkka LiikanenDivision of Biological Sciences, Section of Molecular Biology, University of California San Diego, San Diego, California, USA.ORCID 0000-0002-0669-3587
Saru BasnetTranslational Immunology Research Program, Cancer Gene Therapy Group, University of Helsinki, Helsinki, Finland.
Dafne C A QuixabeiraTranslational Immunology Research Program, Cancer Gene Therapy Group, University of Helsinki, Helsinki, Finland.
Kristian TaipaleCancer Gene Therapy Group, Translational Immunology Research Program, University of Helsinki, Helsinki, Finland.
Otto HemminkiDivision of Urologic Oncology, Department of Surgical Oncology, University of Toronto, Toronto, Ontario, Canada.
Minna OksanenCancer Gene Therapy Group, Translational Immunology Research Program, University of Helsinki, Helsinki, Finland.
Matti KankainenMedical and Clinical Genetics, Helsinki University Hospital, University of Helsinki, Helsinki, Finland.
Juuso JuhilaCancer Gene Therapy Group, Translational Immunology Research Program, University of Helsinki, Helsinki, Finland.
Anna KanervaCancer Gene Therapy Group, Translational Immunology Research Program, University of Helsinki, Helsinki, Finland.
Timo JoensuuDocrates Cancer Hospital, Helsinki, Finland.
Siri TähtinenCancer Gene Therapy Group, Translational Immunology Research Program, University of Helsinki, Helsinki, Finland.
Akseli HemminkiDepartment of Oncology, Helsinki University Hospital Comprehensive Cancer Center, University of Helsinki, Helsinki, Finland akseli.hemminki@helsinki.fi.ORCID 0000-0001-7103-8530
University of Helsinki · FIDocrates Cancer Center · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOncolytic viruses are a potent form of active immunotherapy, capable of invoking antitumor T-cell responses. Meanwhile, less is known about their effects on immune checkpoints, the main targets for passive immunotherapy of cancer. T-cell immunoglobulin and mucin domain-3 (TIM-3) is a coinhibitory checkpoint driving T-cell exhaustion in cancer. Here we investigated the effects of oncolytic adenovirus on the TIM-3 checkpoint on tumor-infiltrating immune cells and clinical impact in patients with cancer receiving oncolytic immunotherapy.

methodsModulation of TIM-3 expression on tumor-infiltrating immune cells was studied preclinically in B16 melanoma following intratumoral treatment with Ad5/3∆24-granulocyte-macrophage colony-stimulating factor oncolytic adenovirus. We conducted a retrospective longitudinal analysis of 15 patients with advanced-stage cancer with tumor-site biopsies before and after oncolytic immunotherapy, treated in the Advanced Therapy Access Program (ISRCTN10141600, April 5, 2011). Following patient stratification with regard to TIM-3 (increase vs decrease in tumors), overall survival and imaging/marker responses were evaluated by log-rank and Fisher's test, while coinhibitory receptors/ligands, transcriptomic changes and tumor-reactive and tumor-infltrating immune cells in biopsies and blood samples were studied by microarray rank-based statistics and immunoassays.

resultsPreclinically, TIM-3

conclusionsOur results indicate a key role for the TIM-3 immune checkpoint in oncolytic adenoviral immunotherapy. Moreover, our results identify TIM-3 as a potential biomarker for oncolytic adenoviruses and create rationale for combination with passive immunotherapy for a subset of patients.

Indexed as

AdenoviridaeAdultAgedAnimalsBiomarkers, TumorCD8-Positive T-LymphocytesFemaleHepatitis A Virus Cellular Receptor 2HumansImmunotherapyMaleMiceMiddle AgedNeoplasmsOncolytic VirusesT-LymphocytesBiomarkers, TumorHAVCR2 protein, humanHepatitis A Virus Cellular Receptor 2adaptive immunitybiomarkersimmunotherapyoncolytic virusestranslational medical researchtumor

Identifiers

PMID35193929
PMCPMC8867324
OpenAlexW4212834341

What OpenQuestion holds

Textmetadata
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.