Evidence map›Paper›PMID 26064257›Full record

ArticleInternational journal of clinical and experimental medicine2015

Interaction network analysis of differentially expressed genes and screening of cancer marker in the urine of patients with invasive bladder cancer.

Baihong Guo, Tuanjie Che, Baoguang Shi, Lijun Guo, Zhihua Zhang, Lin Li, Chuanyong Cai, Yirong Chen

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. 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

8 authors at 1 institution in 1 country.

Baihong GuoDepartment of Urology, People's Hospital of Gansu Province Lanzhou 730000, China.
Tuanjie CheSchool of Life Science, Lanzhou University Lanzhou 730000, China.
Baoguang ShiDepartment of Urology, People's Hospital of Gansu Province Lanzhou 730000, China.
Lijun GuoDepartment of Urology, People's Hospital of Gansu Province Lanzhou 730000, China.
Zhihua ZhangDepartment of Urology, People's Hospital of Gansu Province Lanzhou 730000, China.
Lin LiSchool of Life Science, Lanzhou University Lanzhou 730000, China.
Chuanyong CaiSchool of Life Science, Lanzhou University Lanzhou 730000, China.
Yirong ChenDepartment of Urology, People's Hospital of Gansu Province Lanzhou 730000, China.
Lanzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo detect the expression profile of bladder cancer and to delineate the interaction network of these genes in invasive bladder cancer.

methodsA total of 126 differentially expressed genes were identified, and input into STRING online database to delineate interaction network. The network data were screened with central nodes. The expression of genes with the most evident change in the exfoliated cells of urine was detected. RNA markers with over-expression in stage Ta tumor and/or T1 to T4 tumors but low expression in blood or inflammatory cells were characterized.

resultsOn the basis of assay of 21,639 whole-genome oligonucleotide microarray, a total of 126 differentially expressed genes were identified, of which 69 had up-regulated expression and 57 had down-regulated expression. STRING screening showed there were interactions among 103 genes in the bladder cancer which formed a complex network. A total of 23 central nodes were screened with Cytoscape and are involved in multiple signaling pathways related to tumorigenesis. The test specificity was 80% for the 30 control patients with urinary tract infections. The combination of BLCA-4 and HOXA13 could distinguish between low and high grade tumors, with specificity and sensitivity of 80%.

conclusionThe interaction network of differentially expressed genes, especially the central nodes of this network, can provide evidence for the early diagnosis and molecular targeted therapy of invasive bladder cancer, and combined detection of IGF-1, hTERT, BLCA-4 and HOXA13 genes is helpful to evaluate BTCC at different stages.

Indexed as

Bladder transitional cell carcinomacentral nodesinteraction networkquantitative real-time PCRurine marker

Identifiers

PMID26064257
PMCPMC4443091
OpenAlexW2416544285

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.