Evidence map›Paper›PMID 40248703›Full record

ArticleFrontiers in immunology2025

Neoantigen peptide-pulsed dendritic cell vaccine therapy after surgical treatment of pancreatic cancer: a retrospective study.

Koki Oyama, Kohei Nakata, Toshiya Abe, Kento Hirotaka, Nao Fujimori, Kazuma Kiyotani, Chika Iwamoto, Naoki Ikenaga, Shinji Morisaki, Masayo Umebayashi and 9 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

19 authors.

Koki OyamaDepartment of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Kohei NakataDepartment of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Toshiya AbeDepartment of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Kento HirotakaDepartment of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Nao FujimoriDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Kazuma KiyotaniLaboratory of Immunogenomics, Center for Intractable Diseases and ImmunoGenomics, National Institute of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
Chika IwamotoDepartment of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Naoki IkenagaDepartment of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Shinji MorisakiDepartment of Cancer Immunotherapy, Fukuoka General Cancer Clinic, Fukuoka, Japan.
Masayo UmebayashiDepartment of Cancer Immunotherapy, Fukuoka General Cancer Clinic, Fukuoka, Japan.
Hiroto TanakaDepartment of Cancer Immunotherapy, Fukuoka General Cancer Clinic, Fukuoka, Japan.
Norihiro KoyaDepartment of Cancer Immunotherapy, Fukuoka General Cancer Clinic, Fukuoka, Japan.
Shinichiro NakagawaDepartment of Cancer Immunotherapy, Fukuoka General Cancer Clinic, Fukuoka, Japan.
Kenta TsujimuraDepartment of Cancer Immunotherapy, Fukuoka General Cancer Clinic, Fukuoka, Japan.
Sachiko YoshimuraCorporate Headquarters, Cancer Precision Medicine Inc., Kawasaki, Japan.
Hideya OnishiDepartment of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Yusuke NakamuraLaboratory of Immunogenomics, Center for Intractable Diseases and ImmunoGenomics, National Institute of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
Masafumi NakamuraDepartment of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Takashi MorisakiDepartment of Cancer Immunotherapy, Fukuoka General Cancer Clinic, Fukuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Pancreatic cancer shows very poor prognosis and high resistance to conventional standard chemotherapy and immunotherapy; therefore, the development of new breakthrough therapies is highly desirable. Method: We retrospectively evaluated the safety and efficacy of neoantigen peptide-pulsed dendritic cell (Neo-P DC) vaccine therapy after surgical treatment of pancreatic cancer. Result: The result showed induction of neoantigen-specific T cells in 13 (81.3%) of the 16 patients who received Neo-P DC vaccines. In survival analysis of the nine patients who received Neo-P DC vaccines after recurrence, longer overall survival was observed in patients with neoantigen-specific T cell induction than those without T cell induction. Notably, only one of the seven patients who received Neo-P DC vaccines as adjuvant setting developed recurrence, and no patient died during median follow-up 61 months after surgery (range, 25-70 months). Furthermore, TCR repertoire analyses were performed in a case treated with Neo-P DC vaccine combined with long and short peptides, and one significantly dominant clone induced by the long peptide was detected among CD4 Discussion: The present study suggests the feasibility and efficacy of Neo-P DC vaccine therapy after surgical treatment of pancreatic cancer in both postoperative recurrence cases and adjuvant setting. A case analysis suggests the importance of combination with long peptides targeting CD4

Indexed as

Antigens, NeoplasmCancer VaccinesDendritic CellsImmunotherapy, AdoptivePancreatic NeoplasmsAgedFemaleHumansMaleMiddle AgedPeptidesRetrospective StudiesTreatment OutcomeAntigens, NeoplasmCancer VaccinesPeptidesDC vaccineimmunotherapyneoantigenpancreatic cancerPDAC

Identifiers

PMID40248703
PMCPMC12004129

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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.