Evidence map›Paper›PMID 42072056›Full record

ArticleAntioxidants (Basel, Switzerland)2026

Alpha-Lipoic Acid Inhibits IFN-γ-Induced PD-L1 Expression in Prostate Cancer Cells and Enhances T-Cell-Mediated Anti-Tumor Cytotoxicity.

Yi-Jan Hsia, Zhang-Min Lin, Tien-Sheng Tseng, Tz-Chong Chou

Abstract read
In one paragraph

Article in Antioxidants (Basel, Switzerland), 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
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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.

Yi-Jan HsiaDental Department, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City 23142, Taiwan.
Zhang-Min LinCathay Medical Research Institute, Cathay General Hospital, New Taipei City 22174, Taiwan.ORCID 0009-0007-1378-9978
Tien-Sheng TsengInstitute of Molecular Biology, National Chung Hsing University, Taichung 402805, Taiwan.ORCID 0000-0003-0515-1855
Tz-Chong ChouCathay Medical Research Institute, Cathay General Hospital, New Taipei City 22174, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The programmed death-ligand 1 (PD-L1) plays a critical role for promoting cancer immune evasion. However, the resistance to PD-L1-targeted immunotherapy greatly limits its application. α-lipoic acid (ALA) is an endogenous antioxidant, while whether ALA affects PD-L1 expression remains unknown. In IFN-γ-stimulated castration-resistant prostate cancer (CRPC)-mimicking PC3 and DU145 cells, the expression of PD-L1 and its regulatory genes was determined by Western blotting, RT-PCR, and immunofluorescence. The T-cell-mediated tumor-killing activity was evaluated in a co-culture system of cancer cells and Jurkat T cells. ALA significantly inhibits IFN-γ-induced PD-L1 protein and mRNA expression without affecting its degradation. The upstream genes accounting for PD-L1 induction, including JAK1/STAT1/IRF-1 cascade, c-Myc, HIF-1α, and GSK3β activity, were markedly suppressed by ALA. The decreased expression of PD-L1 and these regulators by ALA is also modulated by attenuation of mTOR/p70S6K/4EBP1-dependent protein translation and ROS production. In the co-culture system, ALA markedly increased T-cell-mediated tumor-killing activity compared to that of ALA treatment alone, suggesting that ALA may augment the antitumor immunity. Collectively, we demonstrated that ALA-mediated inhibition of PD-L1 expression is regulated by multiple mechanisms, which indicates that ALA may be a potential agent to enhance cancer immunotherapy, particularly in CRPC.

Indexed as

c-Mycinterferon-γoxidative stressPD-L1prostate cancerSTAT1α-lipoic acid

Identifiers

PMID42072056
PMCPMC13113987

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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.