Evidence map›Paper›PMID 30160049›Full record

ArticleCancer medicine2018

Identification of a high-risk subtype of intestinal-type Japanese gastric cancer by quantitative measurement of the luminal tumor proportion.

Toru Aoyama, Gordon Hutchins, Tomio Arai, Kentaro Sakamaki, Yohei Miyagi, Akira Tsuburaya, Takashi Ogata, Takashi Oshima, Sophie Earle, Takaki Yoshikawa and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. The relationship between the gastric cancer microbiome and clinicopathological factors: a metagenomic investigation from the 100,000 genomes project and The Cancer Genome Atlas.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025
    Article
  2. Gastric Cancer Genetics and Its Implications for Diagnosis, Prognosis, and Treatment of the Disease.The Korean journal of helicobacter and upper gastrointestinal research · 2024
    Review
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  9. Identification ofFrontiers in oncology · 2020
    Article
  10. Article
  11. [Bioinformatics analysis of expression and function of EXD3 gene in gastric cancer].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2019
    Article
  12. Article
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 6 institutions in 3 countries.

Toru AoyamaDepartment of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan.ORCID 0000-0001-6803-3800
Gordon HutchinsSection of Pathology and Tumour Biology, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK.ORCID 0000-0002-1707-4415
Tomio AraiDepartment of Pathology, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan.
Kentaro SakamakiDepartment of Biostatistics and Bioinformatics, The University of Tokyo, Tokyo, Japan.
Yohei MiyagiMolecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan.
Akira TsuburayaDepartment of Surgery, Tsuboi Cancer Center Hospital, Koriyama, Japan.
Takashi OgataDepartment of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan.ORCID 0000-0002-6453-6408
Takashi OshimaDepartment of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan.
Sophie EarleSection of Pathology and Tumour Biology, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK.
Takaki YoshikawaDepartment of Gastric Surgery, National Cancer Center Hospital, Tokyo, Japan.ORCID 0000-0003-1936-9484
Heike I GrabschSection of Pathology and Tumour Biology, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK.ORCID 0000-0001-9520-6228
Kanagawa Prefectural Hospital Organization · JPUniversity of Leeds · GBGunma Children's Medical Center · JPThe University of Tokyo · JPTokyo Metropolitan Geriatric Hospital · JPTokyo National Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe hypothesized that the relative proportion of tumor (PoT) at the luminal surface can predict gastric cancer (GC) patient survival.

methodsWe measured the luminal PoT in resection specimens from 231 GC patients with stage II/III disease who had surgery at the Kanagawa Cancer Center, Yokohama, Japan. Tissue microarrays were used to assess the extent of immune cell infiltration by CD45 immunohistochemistry. Results were related to histopathological features and patient overall survival (OS).

resultsPoT was significantly lower in diffuse-type (30%) compared to intestinal-type GC (41%), P = 0.03. Patients with low PoT intestinal-type GC survived significantly longer than patients with high PoT intestinal-type GC (5 years OS: 78% vs 47%, P = 0.0112). Low PoT was an independent favorable prognostic factor in multivariate analysis in intestinal-type GC. Low PoT was correlated with high content of CD45-positive immune cells (P = 0.035). There was no relationship between PoT and survival in diffuse-type GC.

conclusionsThis is the first study to identify a subgroup of patients with stage II/III intestinal-type GC at high risk of recurrence by measuring PoT at the luminal surface. The relationship between PoT and immune cell content provides an initial insight into potential underlying biological mechanisms.

Indexed as

AdultAgedAged, 80 and overDigestive System Surgical ProceduresFemaleHumansIntestinesJapanLeukocyte Common AntigensMaleMiddle AgedNeoplasm StagingPrognosisStomach NeoplasmsSurvival AnalysisTissue Array AnalysisLeukocyte Common AntigensPTPRC protein, humangastric cancerintestinal-typetumor proportion

Identifiers

PMID30160049
PMCPMC6198215
OpenAlexW2889028490

What OpenQuestion holds

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LicenceCC BY
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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.