Evidence map›Paper›PMID 41213887›Full record

ArticleCancer science2026

A Combinatorial Effect of Immune Checkpoint Inhibitors and CD40 Agonistic Antibody in Murine Pancreatic Cancer Model.

Juri Ichikawa, Hiroshi Okuda, Kuniyuki Kawano, Shingo Kato, Shinya Sato, Ryo Kuroishikawa, Daisuke Kurotaki, Wataru Kawase, Haruka Yoshida, Yukihiko Hiroshima and 3 more

Abstract read
In one paragraph

Article in Cancer science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

13 authors.

Juri IchikawaDepartment of Immunology, Yokohama City University Graduate School of Medicine, Kanagawa, Japan.
Hiroshi OkudaDepartment of Immunology, Yokohama City University Graduate School of Medicine, Kanagawa, Japan.ORCID https://orcid.org/0000-0002-5747-8086
Kuniyuki KawanoDepartment of Immunology, Yokohama City University Graduate School of Medicine, Kanagawa, Japan.
Shingo KatoDepartment of Clinical Cancer Genomics, Yokohama City University Hospital, Kanagawa, Japan.ORCID https://orcid.org/0000-0003-4785-5543
Shinya SatoMolecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Kanagawa, Japan.ORCID https://orcid.org/0000-0002-2155-2379
Ryo KuroishikawaDepartment of Immunology, Yokohama City University Graduate School of Medicine, Kanagawa, Japan.
Daisuke KurotakiLaboratory of Chromatin Organization in Immune Cell Development, International Research Center for Medical Sciences, Kumamoto University, Kumamoto, Japan.
Wataru KawaseAdvanced Cancer Therapeutics Division, Kanagawa Cancer Center Research Institute, Kanagawa, Japan.
Haruka YoshidaDepartment of Immunology, Yokohama City University Graduate School of Medicine, Kanagawa, Japan.
Yukihiko HiroshimaAdvanced Cancer Therapeutics Division, Kanagawa Cancer Center Research Institute, Kanagawa, Japan.
Itaru EndoDepartment of Gastrological Surgery, Yokohama City University Graduate School of Medicine, Kanagawa, Japan.
Shin MaedaDepartment of Gastroenterology, Yokohama City University Graduate School of Medicine, Kanagawa, Japan.ORCID https://orcid.org/0000-0002-0246-1594
Tomohiko TamuraDepartment of Immunology, Yokohama City University Graduate School of Medicine, Kanagawa, Japan.ORCID https://orcid.org/0000-0002-9664-1747

Funding

Japan Agency for Medical Research and Development JP22ama221310Japan Society for the Promotion of Science JP22K08035Japan Society for the Promotion of Science JP25K22579Strategic Research Promotion at Yokohama City University SK2803Support for Pioneering Research Initiated by the Next Generation JPMJSP2179The research fund from Eisai Co., Ltd.Yokohama City University research grant "KAMOME Project"
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) has one of the poorest prognoses of all cancer types. Immune checkpoint inhibitors (ICIs) are currently not indicated for patients with PDAC except for those with high microsatellite instability. In this study, we developed an immunocompetent orthotopic transplant mouse model with Kras and Trp53 mutations, characterized by high fibrosis and an immunosuppressive tumor microenvironment, closely mimicking human PDAC lesions. This model provides a robust platform for investigating strategies for improving ICI efficacy. We observed that ICI monotherapy yielded minimal efficacy, whereas anti-CD40 agonist antibody (aCD40) monotherapy prolonged survival despite its low impact on primary tumor volume. Moreover, ICIs + aCD40 combination therapy not only extended survival but also significantly reduced tumor burden. These effects were accompanied by enhanced dendritic cell migration to the lymph nodes and T cell priming and activation. Moreover, the expression of immunosuppressive markers in tumor-associated macrophages was decreased. Indeed, gene expression analyses of infiltrating immune cells have revealed a shift in the tumor microenvironment from an immune-tolerant state to an immune-activated state. Our findings suggest that combination therapy with ICIs and aCD40 is a promising treatment strategy for patients with PDAC.

Indexed as

Antineoplastic Agents, ImmunologicalAntineoplastic Combined Chemotherapy ProtocolsCD40 AntigensImmune Checkpoint InhibitorsPancreatic Intraductal NeoplasmsAnimalsDendritic CellsDisease Models, AnimalMicePancreatic DuctsTumor-Associated MacrophagesTumor BurdenTumor MicroenvironmentAntineoplastic Agents, ImmunologicalCD40 AntigensImmune Checkpoint InhibitorsanimalCD40 antigendisease modelsimmune checkpoint inhibitorspancreatic cancertumor microenvironment

Identifiers

PMID41213887
PMCPMC12775589

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.