Evidence map›Paper›PMID 42380903›Full record

ArticleMolecular cancer2026

IL-17-driven tumor cell-intrinsic inflammatory programming creates an immunotherapy-permissive microenvironment.

Kosuke Murakami, Shiki Takamura, Chiho Miyagawa, Shiro Takamatsu, Yoko Kashima, Koji Nagaoka, Yukari Kobayashi, Yoshiyuki Hakata, Shigeki Kato, Sachiyo Tsuji-Kawahara and 6 more

Abstract read
In one paragraph

Article in Molecular cancer, 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

16 authors.

Kosuke Murakami *Department of Obstetrics and Gynecology, Kindai University Faculty of Medicine, 1-14-1, Miharadai, Minami-Ku, Sakai, Osaka, 590-0197, Japan.
Shiki Takamura *Laboratory for Immunological Memory, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Chiho MiyagawaDepartment of Obstetrics and Gynecology, Kindai University Faculty of Medicine, 1-14-1, Miharadai, Minami-Ku, Sakai, Osaka, 590-0197, Japan.
Shiro TakamatsuDepartment of Obstetrics and Gynecology, Kindai University Faculty of Medicine, 1-14-1, Miharadai, Minami-Ku, Sakai, Osaka, 590-0197, Japan.
Yoko KashimaDepartment of Obstetrics and Gynecology, Kindai University Faculty of Medicine, 1-14-1, Miharadai, Minami-Ku, Sakai, Osaka, 590-0197, Japan.
Koji NagaokaDepartment of Immunology, Kindai University Faculty of Medicine, Sakai, Japan.
Yukari KobayashiDepartment of Immunology, Kindai University Faculty of Medicine, Sakai, Japan.
Yoshiyuki HakataDepartment of Arts and Sciences, Kindai University Faculty of Medicine, Sakai, Japan.
Shigeki KatoDepartment of Immunology, Kindai University Faculty of Medicine, Sakai, Japan.
Sachiyo Tsuji-KawaharaDepartment of Immunology, Kindai University Faculty of Medicine, Sakai, Japan.
Ding NanDepartment of Obstetrics and Gynecology, Kindai University Faculty of Medicine, 1-14-1, Miharadai, Minami-Ku, Sakai, Osaka, 590-0197, Japan.
Ronald ChandlerDepartment of Obstetrics, Gynecology and Reproductive Biology, College of Human Medicine, Michigan State University, East Lansing, USA.
Satoru TakahashiDepartment of Anatomy and Embryology and Laboratory Animal Resource Center in Transborder Medical Research Center, Institute of Medicine, University of Tsukuba, Tsukuba, Japan.
Masaaki MiyazawaDepartment of Immunology, Kindai University Faculty of Medicine, Sakai, Japan.
Kazuhiro KakimiDepartment of Immunology, Kindai University Faculty of Medicine, Sakai, Japan.
Noriomi MatsumuraDepartment of Obstetrics and Gynecology, Kindai University Faculty of Medicine, 1-14-1, Miharadai, Minami-Ku, Sakai, Osaka, 590-0197, Japan. noriomi@med.kindai.ac.jp.

Funding

Japan Society for the Promotion of Science 19K18684Japan Society for the Promotion of Science 20K21665Japan Society for the Promotion of Science 23K08879Japan Society for the Promotion of Science 23K27431
6 · The paper itself

Abstract

backgroundWhile immune checkpoint inhibitors (ICIs) have failed to improve outcomes in unselected ovarian cancer populations, objective responses are observed in a minority of ovarian clear cell carcinoma (OCCC) cases, implying biological heterogeneity and a yet-undefined immunologically responsive subset within this histotype.

methodsWe performed immunohistochemical profiling of tumor-infiltrating immune cells and analyzed transcriptomic data from human OCCC cohorts. Functional studies were conducted using an immunocompetent syngeneic OCCC mouse model to assess the effects of IL-17 on tumor cell inflammatory signaling, immune microenvironment remodeling, and responsiveness to immune checkpoint blockade, including single-cell RNA sequencing of tumor-infiltrating T cells.

resultsOCCC exhibited an immune-sparse tumor microenvironment with relative enrichment of CD4⁺ T cells. RORC expression was elevated in OCCC but showed intertumoral heterogeneity. In the transcriptome data (n = 180), an IL17A

conclusionsIL-17-responsive, tumor cell-intrinsic inflammatory programming remodels the tumor immune microenvironment toward an immunotherapy-permissive state. These findings establish IL-17-responsive tumor cell inflammatory programming as a mechanistic axis shaping immune checkpoint sensitivity and provide a rationale for biomarker-guided immunotherapy strategies.

Indexed as

ImmunotherapyInflammationInterleukin-17Ovarian NeoplasmsTumor MicroenvironmentAnimalsCell Line, TumorDisease Models, AnimalFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLymphocytes, Tumor-InfiltratingMiceInterleukin-17CD4Clear cell carcinomaIL-17ImmunotherapyNF-κBOvarian cancerRORCTh17

Identifiers

PMID42380903
PMCPMC13348758

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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.