Evidence map›Paper›PMID 14606066›Full record

ArticleWorld journal of gastroenterology2003

Flow cytometric analysis of DNA, telomerase content and multi-gene expression in esophageal epithelial dysplasia.

Lian-Fu Zuo, Pei-Zhong Lin, Fing-Ying Qi, Jian-Wen Guo, Jiang-Hui Liu

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 2 institutions in 1 country.

Lian-Fu ZuoHebei Provincial Tumor Institute, Shijiazhuang 050011, Hebei Province, China. zuolianfu@sina.com
Pei-Zhong Lin
Fing-Ying Qi
Jian-Wen Guo
Jiang-Hui Liu
Hebei Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the alteration of molecular events and the early carcinogenesis mechanism of esophageal epithelial cells in the high incidence area of esophageal cancer.

methodsEsophageal epithelial cells of esophageal cancer patients were collected from the high incidence area in China. Content of DNA and telomerase as well as multi-gene expressions such as p53, p21 and cyclin D1 in esophageal precancer cells were quantitatively analysed by flow cytometry (FCM) with indirect immunofluorescence technique and DNA propidium iodide fluorescence staining.

resultsFCM analysis results showed the DNA content increased significantly and the heteroploid rate was 87.9% in occurred carcinogenesis. P53 protein accumulation and ras p21 increase were seen in the early carcinogenesis of the esophagus. The positive rate of p53 and ras p21 was 100% (5/5, 4/4 respectively) in the cancer group. Telomerase and oncogene cyclin D1 were over- expressed in all of the cancer patients.

conclusionIncreased DNA content and heteroploid rate, accumulation of p53 protein, and over-expression of p21, telomerase and cyclin D1 proteins were early molecular events during the development of esophageal cancer.

Indexed as

Gene Expression Regulation, NeoplasticCarrier ProteinsCyclin D1DNAEpithelial CellsEsophageal NeoplasmsFlow CytometryHumansProto-Oncogene Proteins p21(ras)RNA-Binding ProteinsTelomeraseTumor Suppressor Protein p53Carrier ProteinsCyclin D1DNAHRAS protein, humanProto-Oncogene Proteins p21(ras)RNA-Binding ProteinsTelomeraseTEP1 protein, humanTumor Suppressor Protein p53

Identifiers

PMID14606066
PMCPMC4656511
OpenAlexW139009205

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.