Evidence map›Paper›PMID 33093158›Full record

ArticleJournal for immunotherapy of cancer2020

Deep immunophenotyping at the single-cell level identifies a combination of anti-IL-17 and checkpoint blockade as an effective treatment in a preclinical model of data-guided personalized immunotherapy.

Koji Nagaoka, Masataka Shirai, Kiyomi Taniguchi, Akihiro Hosoi, Changbo Sun, Yukari Kobayashi, Kazuhiro Maejima, Masashi Fujita, Hidewaki Nakagawa, Sachiyo Nomura and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
3.7field-weighted citation impact, top 5% of its field
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

48 citing papers in PubMed, 67 citations in OpenAlex.

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  8. CCL20 in the tumor microenvironment: implications for cancer progression and therapeutic approaches.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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  12. Janus kinase inhibitor overcomes resistance to immune checkpoint inhibitor treatment in peritoneal dissemination of gastric cancer in C57BL/6 J mice.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024
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  18. IL-17A in gastric carcinogenesis: good or bad?Frontiers in immunology · 2024
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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

11 authors at 4 institutions in 1 country.

Koji NagaokaDepartment of Immunotherapeutics, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan.
Masataka ShiraiResearch and Development Group, Hitachi Ltd, Chiyoda-ku, Tokyo, Japan.
Kiyomi TaniguchiResearch and Development Group, Hitachi Ltd, Chiyoda-ku, Tokyo, Japan.
Akihiro HosoiDepartment of Immunotherapeutics, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan.
Changbo SunDepartment of Immunotherapeutics, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan.
Yukari KobayashiDepartment of Immunotherapeutics, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan.
Kazuhiro MaejimaLaboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan.
Masashi FujitaLaboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan.
Hidewaki NakagawaLaboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan.
Sachiyo NomuraDepartment of Gastrointestinal Surgery, The University of Tokyo Graduate School of Medicine Faculty of Medicine, Bunkyo-ku, Tokyo, Japan.
Kazuhiro KakimiDepartment of Immunotherapeutics, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan kakimi@m.u-tokyo.ac.jp.ORCID 0000-0003-2631-3040
University of Tokyo Hospital · JPRIKEN Center for Integrative Medical Sciences · JPHitachi (Japan) · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough immune checkpoint blockade is effective for several malignancies, a substantial number of patients remain refractory to treatment. The future of immunotherapy will be a personalized approach adapted to each patient's cancer-immune interactions in the tumor microenvironment (TME) to prevent suppression of antitumor immune responses. To demonstrate the feasibility of this kind of approach, we developed combination therapy for a preclinical model guided by deep immunophenotyping of the TME.

methodsGastric cancer cell lines YTN2 and YTN16 were subcutaneously inoculated into C57BL/6 mice. YTN2 spontaneously regresses, while YTN16 grows progressively. Bulk RNA-Seq, single-cell RNA-Seq (scRNA-Seq) and flow cytometry were performed to investigate the immunological differences in the TME of these tumors.

resultsBulk RNA-Seq demonstrated that YTN16 tumor cells produced CCL20 and that CD8

conclusionsDeep phenotyping of YTN16 tumors identified a sequence of events on the axis CCL20->IL-17-producing cells->IL-17-neutrophil-angiogenesis->suppression of neoantigen-specific CD8

Indexed as

AnimalsCell Line, TumorDisease Models, AnimalFemaleHumansImmune Checkpoint InhibitorsImmunophenotypingImmunotherapyInterleukin-17MiceTreatment OutcomeIL17A protein, humanImmune Checkpoint InhibitorsInterleukin-17cytokinesgene expression profilingtumor microenvironment

Identifiers

PMID33093158
PMCPMC7583806
OpenAlexW3093762626

What OpenQuestion holds

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LicenceCC BY-NC
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.