Evidence map›Paper›PMID 20965966›Full record

ArticleNucleic acids research2011

An integrated transcriptomic and computational analysis for biomarker identification in gastric cancer.

Juan Cui, Yunbo Chen, Wen-Chi Chou, Liankun Sun, Li Chen, Jian Suo, Zhaohui Ni, Ming Zhang, Xiaoxia Kong, Lisabeth L Hoffman and 10 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
136citing papers in PubMed, 1 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

136 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. FMRP promotes gastric cancer progression via mJournal of translational medicine · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. SENP1 drives glycolysis and cisplatin resistance in gastric cancer via desumoylating ENO1.Journal of experimental & clinical cancer research : CR · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

76 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

20 authors.

Juan CuiDepartment of Biochemistry and Molecular Biology and Institute of Bioinformatics, University of Georgia, Athens, GA 30602, USA.
Yunbo Chen
Wen-Chi Chou
Liankun Sun
Li Chen
Jian Suo
Zhaohui Ni
Ming Zhang
Xiaoxia Kong
Lisabeth L Hoffman
Jinsong Kang
Yingying Su
Victor Olman
Darryl Johnson
Daniel W Tench
I Jonathan Amster
Ron Orlando
David Puett
Fan Li
Ying Xu

Funding

Structure Prediction of Helical Transmembrane ProteinsR01GM075331 · NIGMS · UNIVERSITY OF GEORGIA · PI XU, YING · 2007 to 2010
$1.2M
NIGMS NIH HHS 1R01GM075331NIGMS NIH HHS R01 GM075331
6 · The paper itself

Abstract

This report describes an integrated study on identification of potential markers for gastric cancer in patients' cancer tissues and sera based on: (i) genome-scale transcriptomic analyses of 80 paired gastric cancer/reference tissues and (ii) computational prediction of blood-secretory proteins supported by experimental validation. Our findings show that: (i) 715 and 150 genes exhibit significantly differential expressions in all cancers and early-stage cancers versus reference tissues, respectively; and a substantial percentage of the alteration is found to be influenced by age and/or by gender; (ii) 21 co-expressed gene clusters have been identified, some of which are specific to certain subtypes or stages of the cancer; (iii) the top-ranked gene signatures give better than 94% classification accuracy between cancer and the reference tissues, some of which are gender-specific; and (iv) 136 of the differentially expressed genes were predicted to have their proteins secreted into blood, 81 of which were detected experimentally in the sera of 13 validation samples and 29 found to have differential abundances in the sera of cancer patients versus controls. Overall, the novel information obtained in this study has led to identification of promising diagnostic markers for gastric cancer and can benefit further analyses of the key (early) abnormalities during its development.

Indexed as

AdultAgedAge FactorsBiomarkers, TumorComputational BiologyGene Expression ProfilingHumansMaleMiddle AgedSex FactorsStomach NeoplasmsBiomarkers, Tumor

Identifiers

PMID20965966
PMCPMC3045610

What OpenQuestion holds

Textmetadata
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.