Evidence map›Paper›PMID 17230600›Full record

ArticleWorld journal of gastroenterology2007

Identification of the differential expressive tumor associated genes in rectal cancers by cDNA microarray.

Xue-Qin Gao, Jin-Xiang Han, Zhong-Fa Xu, Wei-Dong Zhang, Hua-Ning Zhang, Hai-Yan Huang

Abstract read
In one paragraph

Article in World journal of gastroenterology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Cell surface markers in colorectal cancer prognosis.International journal of molecular sciences · 2010
    Review
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

6 authors at 1 institution in 1 country.

Xue-Qin GaoKey Laboratory for Biotech-Drug, Ministry of Health, Key Laboratory of Modern Drugs and Technology of Shandong Province, Shandong Medical and Biotechnology Center, Shandong Academy of Medical Sciences, Jinan 250062, Shandong Province, China.
Jin-Xiang Han
Zhong-Fa Xu
Wei-Dong Zhang
Hua-Ning Zhang
Hai-Yan Huang
Shandong First Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo identify tumor associated genes of rectal cancer and to probe the application possibility of gene expression profiles for the classification of tumors.

methodsRectal cancer tissues and their paired normal mucosa were obtained from patients undergoing surgical resection of rectal cancer. Total RNA was extracted using Trizol reagents. First strand cDNA synthesis was indirectly labeled with aminoallyl-dUTP and coupled with Cy3 or Cy5 dye NHS mono-functional ester. After normalization to total spots, the genes which background subtracted intensity did not exceed 2 SD above the mean blank were excluded. The data were then sorted to obtain genes differentially expressed by >or= 2 fold up or down in at least 5 of the 21 patients.

resultsIn the 21 rectal cancer patients, 23 genes were up-regulated in at least 5 samples and 15 genes were down-regulated in at least 5 patients. Hierachical cluster analysis classified the patients into two groups according to the clinicopathological stage, with one group being all above stage II and one group all below stage II.

conclusionThe up-regulated genes and down-regulated genes may be molecular markers of rectal cancer. The expression profiles can be used for classification of rectal cancer.

Indexed as

Biomarkers, TumorAdenocarcinomaAdultAgedExpressed Sequence TagsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedOligonucleotide Array Sequence AnalysisRectal NeoplasmsBiomarkers, Tumor

Identifiers

PMID17230600
PMCPMC4065886
OpenAlexW2041287467

What OpenQuestion holds

Textmetadata
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.