Evidence map›Paper›PMID 26325075›Full record

ArticleHuman vaccines & immunotherapeutics2015

Evaluation of prognostic significance of granulocyte-related factors in cancer patients undergoing personalized peptide vaccination.

Shinjiro Sakamoto, Munehiro Yoshitomi, Shigeru Yutani, Yasuhiro Terazaki, Koichi Yoshiyama, Tetsuya Ioji, Satoko Matsueda, Akira Yamada, Shinzo Takamori, Kyogo Itoh and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2015. 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
0.1field-weighted citation impact, top 47% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

13 authors at 4 institutions in 2 countries.

Shinjiro Sakamotoa Research Center for Innovative Cancer Therapy; Kurume University ; Kurume , Japan.
Munehiro Yoshitomid Department of Surgery ; Kurume University School of Medicine ; Kurume , Japan.
Shigeru Yutanib Cancer Vaccine Center; Kurume University ; Kurume , Japan.
Yasuhiro Terazakid Department of Surgery ; Kurume University School of Medicine ; Kurume , Japan.
Koichi Yoshiyamad Department of Surgery ; Kurume University School of Medicine ; Kurume , Japan.
Tetsuya Iojib Cancer Vaccine Center; Kurume University ; Kurume , Japan.
Satoko Matsuedab Cancer Vaccine Center; Kurume University ; Kurume , Japan.
Akira Yamadaa Research Center for Innovative Cancer Therapy; Kurume University ; Kurume , Japan.
Shinzo Takamorid Department of Surgery ; Kurume University School of Medicine ; Kurume , Japan.
Kyogo Itohb Cancer Vaccine Center; Kurume University ; Kurume , Japan.
Noboru Hattoric Department of Molecular and Internal Medicine ; Institute of Biomedical & Health Sciences; Hiroshima University ; Hiroshima , Japan.
Nobuoki Kohnoc Department of Molecular and Internal Medicine ; Institute of Biomedical & Health Sciences; Hiroshima University ; Hiroshima , Japan.
Tetsuro Sasadab Cancer Vaccine Center; Kurume University ; Kurume , Japan.
Kurume University · JPInstitute of Biomedical Science · GBHiroshima University · JPKanagawa Cancer Center

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since cancer vaccines do not always elicit beneficial effects in treated patients, identification of biomarkers for predicting clinical outcomes would be highly desirable. We previously reported that abnormal granulocytes present in peripheral blood mononuclear cells (PBMC) may contribute to poor prognosis in advanced prostate cancer patients receiving personalized peptide vaccination (PPV). In the current study, we examined whether soluble factors derived from granulocytes, such as matrix metalloproteinase 9 (MMP-9), myeloperoxidase (MPO), and arginase 1 (ARG1), and inhibitory cytokine TGFβ in pre-vaccination plasma were useful for predicting prognosis after PPV in advanced cancer patients. In biliary tract cancer (n=25), multivariate Cox regression analysis demonstrated that patients with higher plasma MMP-9 levels had a significantly worse overall survival (OS) [hazard ratio (HR) = 4.637, 95% confidence interval (CI) = 1.670 - 12.877, P = 0.003], whereas MPO, ARG1, or TGFβ levels were not correlated with OS. Similarly, patients with higher MMP-9 levels showed worse prognosis than those with lower MMP-9 levels in other types of advanced cancers, including non-small cell lung cancer (n=32, P = 0.037 by log-rank test), and pancreatic cancer (n=41, P = 0.042 by log-rank test). Taken together, plasma MMP-9 levels before vaccination might be potentially useful as a biomarker for selecting advanced cancer patients who would benefit from PPV.

Indexed as

ArginaseBiliary Tract NeoplasmsBiomarkers, TumorCancer VaccinesGranulocytesHumansLeukocytes, MononuclearMaleMatrix Metalloproteinase 9PeroxidasePrecision MedicinePrognosisProstatic NeoplasmsTransforming Growth Factor betaVaccines, SubunitArginaseBiomarkers, TumorCancer VaccinesMatrix Metalloproteinase 9MMP9 protein, humanPeroxidaseTransforming Growth Factor betaVaccines, SubunitARG1biomarkerMMP-9MPOmultivariate Cox regression analysispersonalized peptide vaccine

Identifiers

PMID26325075
PMCPMC5054776
OpenAlexW1267630568

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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.