Evidence map›Paper›PMID 35445836›Full record

ArticleCancer immunology, immunotherapy : CII2022

Opening up new VISTAs: V-domain immunoglobulin suppressor of T cell activation (VISTA) targeted near-infrared photoimmunotherapy (NIR-PIT) for enhancing host immunity against cancers.

Hiroaki Wakiyama, Aki Furusawa, Ryuhei Okada, Fuyuki Inagaki, Takuya Kato, Hideyuki Furumoto, Hiroshi Fukushima, Shuhei Okuyama, Peter L Choyke, Hisataka Kobayashi

Open access · greenAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2022. 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
1.1field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

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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

10 authors at 1 institution in 2 countries.

Hiroaki WakiyamaMolecular Imaging Branch, Center for Cancer Research, National Cancer Institute, NIH, 10 Center Drive, Bethesda, MD, 20892, USA.
Aki FurusawaMolecular Imaging Branch, Center for Cancer Research, National Cancer Institute, NIH, 10 Center Drive, Bethesda, MD, 20892, USA.
Ryuhei OkadaMolecular Imaging Branch, Center for Cancer Research, National Cancer Institute, NIH, 10 Center Drive, Bethesda, MD, 20892, USA.
Fuyuki InagakiMolecular Imaging Branch, Center for Cancer Research, National Cancer Institute, NIH, 10 Center Drive, Bethesda, MD, 20892, USA.
Takuya KatoMolecular Imaging Branch, Center for Cancer Research, National Cancer Institute, NIH, 10 Center Drive, Bethesda, MD, 20892, USA.
Hideyuki FurumotoMolecular Imaging Branch, Center for Cancer Research, National Cancer Institute, NIH, 10 Center Drive, Bethesda, MD, 20892, USA.
Hiroshi FukushimaMolecular Imaging Branch, Center for Cancer Research, National Cancer Institute, NIH, 10 Center Drive, Bethesda, MD, 20892, USA.
Shuhei OkuyamaMolecular Imaging Branch, Center for Cancer Research, National Cancer Institute, NIH, 10 Center Drive, Bethesda, MD, 20892, USA.
Peter L ChoykeMolecular Imaging Branch, Center for Cancer Research, National Cancer Institute, NIH, 10 Center Drive, Bethesda, MD, 20892, USA.
Hisataka KobayashiMolecular Imaging Branch, Center for Cancer Research, National Cancer Institute, NIH, 10 Center Drive, Bethesda, MD, 20892, USA. kobayash@mail.nih.gov.ORCID http://orcid.org/0000-0003-1019-4112
Université Bourgogne Franche-Comté · FR

Funding

Growth Factor Imaging and PhotoimmunotherapyZIABC010656 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHOYKE, PETER L · 2009 to 2024
$31.6M
Cancer-cell specific therapy: photo-immunotherapyZIABC011513 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI KOBAYASHI, HISATAKA · 2013 to 2025
$15.5M
Intramural NIH HHS ZIA BC011513NCI NIH HHS ZIA BC011513
6 · The paper itself

Abstract

V-domain immunoglobulin suppressor of T cell activation (VISTA) is an inhibitory immune checkpoint molecule that is broadly expressed on lymphoid and myeloid cells, including regulatory T cells (Tregs) and myeloid-derived suppressor cells (MDSCs). Near-infrared photoimmunotherapy (NIR-PIT) is a cancer treatment that utilizes an antibody-photoabsorber (IRDye 700DX NHS ester) conjugate to selectively kill target cells after the local application of NIR light. Depletion of VISTA-expressing cells in the tumor microenvironment (TME) using NIR-PIT could enhance anti-tumor immune responses by removing immune suppressive cells. The purpose of this study was to evaluate the anti-tumor efficacy of VISTA-targeted NIR-PIT using two murine tumor models, MC38-luc and LL2-luc. VISTA was expressed on T cells including Tregs and MDSCs in the TME of these tumors. In contrast, CD45 - cells, including cancer cells, did not express VISTA. VISTA-targeted NIR-PIT depleted VISTA-expressing cells ex vivo. In vivo VISTA-targeted NIR-PIT inhibited tumor progression and prolonged survival in both models. After VISTA-targeted NIR-PIT, augmented CD8 + T cell and dendritic cell activation were observed in regional lymph nodes. In conclusion, VISTA-targeted NIR-PIT can effectively treat tumors by decreasing VISTA-expressing immune suppressor cells in the TME. Local depletion of VISTA-expressing cells in the tumor bed using NIR-PIT is a promising new cancer immunotherapy for treating various types of tumors.

Indexed as

NeoplasmsT-Lymphocytes, RegulatoryAnimalsCell Line, TumorEstersHumansImmune Checkpoint ProteinsImmunotherapyMiceXenograft Model Antitumor AssaysEstersImmune Checkpoint ProteinsMyeloid-derived suppressor cell (MDSC)Near-infrared photoimmunotherapy (NIR-PIT)Regulatory T cell (Treg)V-domain immunoglobulin suppressor of T cell activation (VISTA)

Identifiers

PMID35445836
PMCPMC10673684
OpenAlexW4224242527

What OpenQuestion holds

Textmetadata
LicenceTDM
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.