Evidence map›Paper›PMID 30018477›Full record

ReviewWorld journal of gastroenterology2018

Biomarkers of gastric cancer: Current topics and future perspective.

Tasuku Matsuoka, Masakazu Yashiro

Abstract readReview
In one paragraph

Review in World journal of gastroenterology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 278 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
278citing papers in PubMed, 4 pooled it
–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

278 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. HER2 discordance between primary and metastatic gastric cancer: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  9. Development and validation of a cuproptosis-related gene signature for predicting prognosis and drug sensitivity in gastric cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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218 more citing papers are in PubMed but not listed here.

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

2 authors.

Tasuku MatsuokaDepartment of Surgical Oncology, Osaka City University Graduate School of Medicine, Osaka 545-8585, Japan. m4808279@med.osaka-cu.ac.jp.
Masakazu YashiroOncology Institute of Geriatrics and Medical Science, Osaka City University Graduate School of Medicine, Osaka 545-8585, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) is one of the most prevalent malignant types in the world and an aggressive disease with a poor 5-year survival. This cancer is biologically and genetically heterogeneous with a poorly understood carcinogenesis at the molecular level. Although the incidence is declining, the outcome of patients with GC remains dismal. Thus, the detection at an early stage utilizing useful screening approaches, selection of an appropriate treatment plan, and effective monitoring is pivotal to reduce GC mortalities. Identification of biomarkers in a basis of clinical information and comprehensive genome analysis could improve diagnosis, prognosis, prediction of recurrence and treatment response. This review summarized the current status and approaches in GC biomarker, which could be potentially used for early diagnosis, accurate prediction of therapeutic approaches and discussed the future perspective based on the molecular classification and profiling.

Indexed as

Antineoplastic AgentsBiomarkers, TumorBody FluidsCarcinogenesisEarly Detection of CancerGastrectomyGene Expression ProfilingGene Expression Regulation, NeoplasticHumansIncidenceLiquid BiopsyNeoplasm Recurrence, LocalPrevalencePrognosisStomachStomach NeoplasmsAntineoplastic AgentsBiomarkers, TumorBiomarkersCcancer diagnosisGastric cancerPredictive markerPrognostic marker

Identifiers

PMID30018477
PMCPMC6048430

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.