Evidence map›Paper›PMID 21483631›Full record

ArticleWorld journal of gastroenterology2011

Discovery and validation of prognostic markers in gastric cancer by genome-wide expression profiling.

Yue-Zheng Zhang, Lian-Hai Zhang, Yang Gao, Chao-Hua Li, Shu-Qin Jia, Ni Liu, Feng Cheng, De-Yun Niu, William Cs Cho, Jia-Fu Ji and 1 more

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2011. 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
2.3field-weighted citation impact, top 12% 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

25 citing papers in PubMed, 54 citations in OpenAlex.

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  15. Molecular classification and prediction in gastric cancer.Computational and structural biotechnology journal · 2015
    Review
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  18. Expression characteristics of CDC20 in gastric cancer and its correlation with poor prognosis.International journal of clinical and experimental pathology · 2014
    Article
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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

11 authors at 1 institution in 1 country.

Yue-Zheng ZhangBeijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100029, China.
Lian-Hai Zhang
Yang Gao
Chao-Hua Li
Shu-Qin Jia
Ni Liu
Feng Cheng
De-Yun Niu
William Cs Cho
Jia-Fu Ji
Chang-Qing Zeng
PLA 306 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo develop a prognostic gene set that can predict patient overall survival status based on the whole genome expression analysis.

methodsUsing Illumina HumanWG-6 BeadChip followed by semi-supervised analysis, we analyzed the expression of 47,296 transcripts in two batches of gastric cancer patients who underwent surgical resection. Thirty-nine samples in the first batch were used as the training set to discover candidate markers correlated to overall survival, and thirty-three samples in the second batch were used for validation.

resultsA panel of ten genes were identified as prognostic marker in the first batch samples and classified patients into a low- and a high-risk group with significantly different survival times (P = 0.000047). This prognostic marker was then verified in an independent validation sample batch (P = 0.0009). By comparing with the traditional Tumor-node-metastasis (TNM) staging system, this ten-gene prognostic marker showed consistent prognosis results. It was the only independent prognostic value by multivariate Cox regression analysis (P = 0.007). Interestingly, six of these ten genes are ribosomal proteins, suggesting a possible association between the deregulation of ribosome related gene expression and the poor prognosis.

conclusionA ten-gene marker correlated with overall prognosis, including 6 ribosomal proteins, was identified and verified, which may complement the predictive value of TNM staging system.

Indexed as

AgedBiomarkers, TumorFemaleGene Expression ProfilingGenome, HumanGenome-Wide Association StudyHumansKaplan-Meier EstimateMaleMiddle AgedOligonucleotide Array Sequence AnalysisPrognosisReproducibility of ResultsStomach NeoplasmsBiomarkers, TumorGastric cancerGene expression profilingPrognosisRibosomal proteinsSurvival markers

Identifiers

PMID21483631
PMCPMC3072635
OpenAlexW2158472843

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.