Evidence map›Paper›PMID 42265301›Full record

ArticleScientific reports2026

Therapeutic potential of photoimmunotherapy in solid tumors expressing CD98 heavy chain.

Citra R A P Palangka, Naoya Kondo, Ayaka Kanai, Hirofumi Hanaoka

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Citra R A P PalangkaFundamental Technology Development Division, Near InfraRed Photo-Immunotherapy Institute, Kansai Medical University, Osaka, 573-1010, Japan.
Naoya KondoFundamental Technology Development Division, Near InfraRed Photo-Immunotherapy Institute, Kansai Medical University, Osaka, 573-1010, Japan.
Ayaka KanaiFundamental Technology Development Division, Near InfraRed Photo-Immunotherapy Institute, Kansai Medical University, Osaka, 573-1010, Japan.
Hirofumi HanaokaFundamental Technology Development Division, Near InfraRed Photo-Immunotherapy Institute, Kansai Medical University, Osaka, 573-1010, Japan. hanaokah@hirakata.kmu.ac.jp.

Funding

JST FOREST Program JPMJFR205I
6 · The paper itself

Abstract

Near-infrared photoimmunotherapy (NIR-PIT) is an emerging targeted cancer therapy that uses an antibody-photoabsorber conjugate. In this study, we evaluated the therapeutic potential of NIR-PIT targeting CD98 heavy chain (CD98hc), a transmembrane glycoprotein that is highly expressed in various solid tumors and is associated with poor prognosis. We prepared a conjugate of the clinically tested anti-CD98hc antibody IGN523 and photoabsorber IRDye700DX (IGN523-IR700). The therapeutic efficacy was assessed in vitro using four CD98hc-expressing cancer cell lines and in an in vivo tumor xenograft mouse model. In vitro, IGN523-IR700 binds to cancer cells and induces rapid and light dose-dependent cell death upon near-infrared light exposure. In the in vivo model, intravenous administration of IGN523-IR700 followed by tumor-directed light irradiation resulted in significant tumor growth inhibition compared with that in the control groups. These results demonstrate that CD98hc is a viable and effective target for NIR-PIT. Given its widespread expression, targeting CD98hc may significantly broaden the applicability of NIR-PIT to diverse cancer types.

Indexed as

Fusion Regulatory Protein 1, Heavy ChainImmunotherapyNeoplasmsPhototherapyAnimalsCell Line, TumorHumansIndolesMiceMice, NudeXenograft Model Antitumor AssaysFusion Regulatory Protein 1, Heavy ChainIndolesCD98hcIGN523-IR700Near-infrared photoimmunotherapySolid tumors

Identifiers

PMID42265301
PMCPMC13490449

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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.