Evidence map›Paper›PMID 41486584›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Metabolic Reprogramming of T Cells by Dual UCP2 and IL-17 Blockade Enhances Immunity Against Pancreatic Cancer.

Chuan-Teng Liu, Chun-Chieh Yeh, Tsai-Chen Wu, Chia-Hsin Lin, Yi-Ting Kuo, Yoichiro Iwakura, Yuan-Ji Day, Charles Drake, Vedran Radojcic, Ying-Chyi Song and 2 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Chuan-Teng LiuResearch Center for Traditional Chinese Medicine, Department of Medical Research, China Medical University, Taichung, Taiwan.
Chun-Chieh YehDepartment of Surgery, Organ Transplantation Center, China Medical University Hospital, Taichung, Taiwan.
Tsai-Chen WuResearch Center for Traditional Chinese Medicine, Department of Medical Research, China Medical University, Taichung, Taiwan.
Chia-Hsin LinResearch Center for Traditional Chinese Medicine, Department of Medical Research, China Medical University, Taichung, Taiwan.
Yi-Ting KuoResearch Center for Traditional Chinese Medicine, Department of Medical Research, China Medical University, Taichung, Taiwan.
Yoichiro IwakuraResearch Institute For Biomedical Sciences, Tokyo University of Science, Tokyo, Japan.
Yuan-Ji DayDepartment of Anesthesiology, Tung's Taichung Metroharbor Hospital, Taichung, Taiwan.
Charles DrakeColumbia Center For Translational Immunology, Columbia University Irving Medical Center, New York, USA.
Vedran RadojcicDivision of Hematology & Hematologic Malignancies, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.
Ying-Chyi SongResearch Center for Traditional Chinese Medicine, Department of Medical Research, China Medical University, Taichung, Taiwan.ORCID https://orcid.org/0000-0003-0279-4652
Heng-Hsiung WuResearch Center For Cancer Biology, China Medical University, Taichung, Taiwan.ORCID https://orcid.org/0000-0002-7220-8519
Hung-Rong YenResearch Center for Traditional Chinese Medicine, Department of Medical Research, China Medical University, Taichung, Taiwan.ORCID https://orcid.org/0000-0002-0131-1658

Funding

China Medical University Hospital DMR-110-186China Medical University Hospital DMR-111-192China Medical University Hospital Cancer Research Center of Excellence, Ministry of Health and Welfare MOHW110-TDU-B-212-144024China Medical University, Taiwan CMU107-TU-04Chinese Medicine Research Center, China Medical University" from the Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education, Taiwan CMRC-CHM-2Ministry of Science and Technology, Taiwan MOST106-2811-B-039-023Ministry of Science and Technology, Taiwan MOST108-2320-B-039-024-MY3Ministry of Science and Technology, Taiwan MOST109-2811-B-039-500Ministry of Science and Technology, Taiwan MOST109-2811-B-039-509
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) remains resistant to immunotherapy due to its immunosuppressive tumor microenvironment (TME) and impaired metabolic fitness of effector T cells. Here, we show that targeting UCP2 reprograms T-cell metabolism, and that dual blockade with IL-17 further enhance antitumor responses in PDAC. Pharmacologic UCP2 inhibition with genipin increases IFN-γ production by CD8⁺ T cells through IL-12R/STAT4/mTOR signaling and enhanced mitochondrial oxidative phosphorylation, promoting a T-bet-driven cytotoxic program. However, UCP2 inhibition alone does not suppress tumor growth. Accordingly, combination with IL-17 depletion synergistically augments Tc1/Th1 responses, reduces myeloid-derived suppressor cells (MDSCs), and improves survival across multiple PDAC models, including genetically engineered and orthotopic systems. CD8⁺ T-cell depletion abrogates these effects. Moreover, UCP2 inhibition enhances IFN-γ production in patient-derived PBMCs and tumor-infiltrating lymphocytes. These findings identify UCP2 as a metabolic checkpoint in cytotoxic T cells and support dual UCP2/IL-17 blockade as a promising immunotherapeutic strategy for PDAC.

Indexed as

Carcinoma, Pancreatic DuctalInterleukin-17Pancreatic NeoplasmsT-LymphocytesUncoupling Protein 2AnimalsCD8-Positive T-LymphocytesCell Line, TumorHumansImmunotherapyMetabolic ReprogrammingMiceTumor MicroenvironmentInterleukin-17UCP2 protein, humanUcp2 protein, mouseUncoupling Protein 2cytotoxic T cellimmunotherapyinterleukin‐17pancreatic canceruncoupling protein 2

Identifiers

PMID41486584
PMCPMC13042516

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Registered trials

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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.