Evidence map›Paper›PMID 20205286›Full record

ArticleWorld journal of gastroenterology2010

Alterations of tumor-related genes do not exactly match the histopathological grade in gastric adenocarcinomas.

Guo-Yan Liu, Kun-Hong Liu, Yong Zhang, Yu-Zhi Wang, Xiao-Hong Wu, Yi-Zhuo Lu, Chao Pan, Ping Yin, Hong-Feng Liao, Ji-Qin Su and 3 more

Open access · bronzeAbstract 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
0.1field-weighted citation impact, top 45% 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, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Molecular classification and prediction in gastric cancer.Computational and structural biotechnology journal · 2015
    Review
  5. Article
  6. 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

13 authors at 1 institution in 1 country.

Guo-Yan LiuDepartment of General Surgery, The Affiliated Zhongshan Hospital of Xiamen University, The Digestive Disease Research Institute of Xiamen University, Xiamen 361004, Fujian Province, China.
Kun-Hong Liu
Yong Zhang
Yu-Zhi Wang
Xiao-Hong Wu
Yi-Zhuo Lu
Chao Pan
Ping Yin
Hong-Feng Liao
Ji-Qin Su
Qing Ge
Qi Luo
Bin Xiong
Zhongshan Hospital of Xiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the diverse characteristics of different pathological gradings of gastric adenocarcinoma (GA) using tumor-related genes.

methodsGA tissues in different pathological gradings and normal tissues were subjected to tissue arrays. Expressions of 15 major tumor-related genes were detected by RNA in situ hybridization along with 3' terminal digoxin-labeled anti-sense single stranded oligonucleotide and locked nucleic acid modifying probe within the tissue array. The data obtained were processed by support vector machines by four different feature selection methods to discover the respective critical gene/gene subsets contributing to the GA activities of different pathological gradings.

resultsIn comparison of poorly differentiated GA with normal tissues, tumor-related gene TP53 plays a key role, although other six tumor-related genes could also achieve the Area Under Curve (AUC) of the receiver operating characteristic independently by more than 80%. Comparing the well differentiated GA with normal tissues, we found that 11 tumor-related genes could independently obtain the AUC by more than 80%, but only the gene subsets, TP53, RB and PTEN, play a key role. Only the gene subsets, Bcl10, UVRAG, APC, Beclin1, NM23, PTEN and RB could distinguish between the poorly differentiated and well differentiated GA. None of a single gene could obtain a valid distinction.

conclusionDifferent from the traditional point of view, the well differentiated cancer tissues have more alterations of important tumor-related genes than the poorly differentiated cancer tissues.

Indexed as

AdenocarcinomaAdultAgedBiomarkers, TumorCell DifferentiationFemaleGene Expression Regulation, NeoplasticHumansIn Situ HybridizationMaleMiddle AgedNeoplasm StagingPredictive Value of TestsRNA, MessengerROC CurveStomach NeoplasmsBiomarkers, TumorRNA, Messenger

Identifiers

PMID20205286
PMCPMC2835792
OpenAlexW2117917133

What OpenQuestion holds

Textmetadata
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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.