Evidence map›Paper›PMID 20533596›Full record

ArticleWorld journal of gastroenterology2010

Relationship between clinicopathological features and mucin phenotypes of advanced gastric adenocarcinoma.

Fumiaki Toki, Atsushi Takahashi, Ryusuke Aihara, Kyoichi Ogata, Hiroyuki Ando, Tetsuro Ohno, Erito Mochiki, Hiroyuki Kuwano

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Fumiaki TokiDepartment of General Surgical Science (Surgery I), Gunma University Graduate School of Medicine, 3-39-15 Showa-machi, Maebashi, Gunma 371-8511, Japan. ftoki@gcmc.pref.gunma.jp
Atsushi Takahashi
Ryusuke Aihara
Kyoichi Ogata
Hiroyuki Ando
Tetsuro Ohno
Erito Mochiki
Hiroyuki Kuwano
Gunma University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate a relationship between the clinicopathological features and mucin phenotypes in advanced gastric adenocarcinoma (AGA).

methodsImmunohistochemical staining was performed to determine the mucin phenotypes in 38 patients with differentiated adenocarcinomas (DACs), 9 with signet-ring cell carcinomas (SIGs), and 48 with other diffuse-type adenocarcinomas (non-SIGs) of AGA. The mucin phenotypes were classified into 4 types: gastric (G), gastrointestinal (GI), intestinal, and unclassified.

resultsThe G-related mucin phenotypes were highly expressed in all the histological subtypes of AGA. The expression of the GI phenotype in SIG patients was lower than that in DAC patients (P = 0.02), and this phenotype was observed in 56% of the non-SIG patients in the intramucosal layer. Among non-SIG cases, the expression of the GI phenotype was significantly higher in patients with extended adenocarcinomas and those with positive rates of lymph node metastasis. There was no difference between the expressions of the G and other GI phenotypes factors. Among DAC and non-SIG patients, there were no differences between the survival rates of the corresponding patient groups.

conclusionThe GI phenotype might possess more invasive characteristics than the G phenotype in non-SIG. Neither of the phenotypes indicated a poor prognosis of DAC and non-SIG.

Indexed as

AdenocarcinomaCarcinoma, Signet Ring CellStomach NeoplasmsAgedBiomarkers, TumorFemaleHumansMaleMiddle AgedMucinsPhenotypeProtein IsoformsSurvival RateBiomarkers, TumorMucinsProtein Isoforms

Identifiers

PMID20533596
PMCPMC2883132
OpenAlexW1979118877

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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.