Evidence map›Paper›PMID 28859241›Full record

Trial reportCancer science2017

miR-125b-1 and miR-378a are predictive biomarkers for the efficacy of vaccine treatment against colorectal cancer.

Hironori Tanaka, Shoichi Hazama, Michihisa Iida, Ryouichi Tsunedomi, Hiroko Takenouchi, Masao Nakajima, Yukio Tokumitsu, Shinsuke Kanekiyo, Yoshitaro Shindo, Shinobu Tomochika and 17 more

Abstract readClinical Trial, Phase IClinical Trial, Phase II
In one paragraph

Trial report in Cancer science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 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

27 authors.

Hironori TanakaDepartment of Gastroenterological, Breast and Endocrine Surgery, Yamaguchi University Graduate School of Medicine, Ube, Japan.
Shoichi HazamaDepartment of Gastroenterological, Breast and Endocrine Surgery, Yamaguchi University Graduate School of Medicine, Ube, Japan.ORCID http://orcid.org/0000-0002-5239-8570
Michihisa IidaDepartment of Gastroenterological, Breast and Endocrine Surgery, Yamaguchi University Graduate School of Medicine, Ube, Japan.
Ryouichi TsunedomiDepartment of Gastroenterological, Breast and Endocrine Surgery, Yamaguchi University Graduate School of Medicine, Ube, Japan.ORCID http://orcid.org/0000-0003-4251-1936
Hiroko TakenouchiDepartment of Gastroenterological, Breast and Endocrine Surgery, Yamaguchi University Graduate School of Medicine, Ube, Japan.
Masao NakajimaDepartment of Gastroenterological, Breast and Endocrine Surgery, Yamaguchi University Graduate School of Medicine, Ube, Japan.
Yukio TokumitsuDepartment of Gastroenterological, Breast and Endocrine Surgery, Yamaguchi University Graduate School of Medicine, Ube, Japan.
Shinsuke KanekiyoDepartment of Gastroenterological, Breast and Endocrine Surgery, Yamaguchi University Graduate School of Medicine, Ube, Japan.
Yoshitaro ShindoDepartment of Gastroenterological, Breast and Endocrine Surgery, Yamaguchi University Graduate School of Medicine, Ube, Japan.
Shinobu TomochikaDepartment of Gastroenterological, Breast and Endocrine Surgery, Yamaguchi University Graduate School of Medicine, Ube, Japan.
Yoshihiro TokuhisaDepartment of Gastroenterological, Breast and Endocrine Surgery, Yamaguchi University Graduate School of Medicine, Ube, Japan.
Kazuhiko SakamotoDepartment of Gastroenterological, Breast and Endocrine Surgery, Yamaguchi University Graduate School of Medicine, Ube, Japan.
Nobuaki SuzukiDepartment of Gastroenterological, Breast and Endocrine Surgery, Yamaguchi University Graduate School of Medicine, Ube, Japan.
Shigeru TakedaDepartment of Gastroenterological, Breast and Endocrine Surgery, Yamaguchi University Graduate School of Medicine, Ube, Japan.
Shigeru YamamotoDepartment of Gastroenterological, Breast and Endocrine Surgery, Yamaguchi University Graduate School of Medicine, Ube, Japan.
Shigefumi YoshinoOncology Center, Yamaguchi University Hospital, Ube, Japan.
Tomio UenoDepartment of Gastroenterological, Breast and Endocrine Surgery, Yamaguchi University Graduate School of Medicine, Ube, Japan.
Yoshihiko HamamotoDivision of Electrical, Electronic and Information Engineering, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, Japan.
Yusuke FujitaDivision of Electrical, Electronic and Information Engineering, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, Japan.
Hiroaki TanakaDepartment of Surgical Oncology, Osaka City University Graduate School of Medicine, Osaka, Japan.
Ko TaharaDepartment of Surgery, Kure-Kyosai Hospital, Kure, Japan.
Ryoichi ShimizuDepartment of Surgery, Ogori Daiichi General Hospital, Yamaguchi, Japan.
Kiyotaka OkunoDepartment of Surgery, Kinki University Faculty of Medicine, Osaka-Sayama, Japan.
Koji FujitaDepartment of Molecular Pathology, Tokyo Medical University, Tokyo, Japan.
Masahiko KurodaDepartment of Molecular Pathology, Tokyo Medical University, Tokyo, Japan.
Yusuke NakamuraDepartment of Medicine and Surgery, The University of Chicago, Chicago, USA.
Hiroaki NaganoDepartment of Gastroenterological, Breast and Endocrine Surgery, Yamaguchi University Graduate School of Medicine, Ube, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many clinical trials of peptide vaccines have been conducted. However, these vaccines have provided clinical benefits in only a small fraction of patients. The purpose of the present study was to explore microRNAs (miRNAs) as novel predictive biomarkers for the efficacy of vaccine treatment against colorectal cancer. First, we carried out microarray analysis of pretreatment cancer tissues in a phase I study, in which peptide vaccines alone were given. Candidate miRNAs were selected by comparison of the better prognosis group with the poorer prognosis group. Next, we conducted microarray analysis of cancer tissues in a phase II study, in which peptide vaccines combined with chemotherapy were given. Candidate miRNAs were further selected by a similar comparison of prognosis. Subsequently, we carried out reverse-transcription PCR analysis of phase II cases, separating cancer tissues into cancer cells and stromal tissue using laser capture microdissection. Treatment effect in relation to overall survival (OS) and miRNA expression was analyzed. Three miRNA predictors were negatively associated with OS: miR-125b-1 in cancer cells (P = 0.040), and miR-378a in both cancer cells (P = 0.009) and stromal cells (P < 0.001). Multivariate analysis showed that expression of miR-378a in stromal cells was the best among the three predictors (HR, 2.730; 95% CI, 1.027-7.585; P = 0.044). In conclusion, miR-125b-1 and miR-378a expression might be considered as novel biomarkers to predict the efficacy of vaccine treatment against colorectal cancer.

Indexed as

AnimalsBiomarkers, TumorCancer VaccinesColorectal NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansLaser Capture MicrodissectionMaleMiceMicroarray AnalysisMicroRNAsPrognosisVaccines, SubunitBiomarkers, TumorCancer VaccinesMicroRNAsMIRN125 microRNA, humanMIRN378 microRNA, humanVaccines, SubunitBiomarkercolorectal cancermiR-125b-1miR-378apeptide vaccine

Identifiers

PMID28859241
PMCPMC5666028

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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.