Evidence map›Paper›PMID 24954627›Full record

ArticleScientific reports2014

Network based analyses of gene expression profile of LCN2 overexpression in esophageal squamous cell carcinoma.

Bingli Wu, Chunquan Li, Zepeng Du, Qianlan Yao, Jianyi Wu, Li Feng, Pixian Zhang, Shang Li, Liyan Xu, Enmin Li

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. 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

10 authors at 4 institutions in 1 country.

Bingli Wu1] Department of Biochemistry and Molecular Biology, Shantou University Medical College, Shantou515041, China [2].
Chunquan Li1] Department of Biochemistry and Molecular Biology, Shantou University Medical College, Shantou515041, China [2] College of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing163319, China [3].
Zepeng DuDepartment of Pathology, Shantou Central Hospital, Shantou515041, China.
Qianlan YaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin150081, China.
Jianyi WuDepartment of Biochemistry and Molecular Biology, Shantou University Medical College, Shantou515041, China.
Li FengCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin150081, China.
Pixian ZhangDepartment of Biochemistry and Molecular Biology, Shantou University Medical College, Shantou515041, China.
Shang LiCollege of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing163319, China.
Liyan XuInstitute of Oncologic Pathology, Shantou University Medical College, Shantou515041, China.
Enmin LiDepartment of Biochemistry and Molecular Biology, Shantou University Medical College, Shantou515041, China.
Shantou University Medical College · CNHarbin Medical University · CNShantou University · CNShantou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

LCN2 (lipocalin 2) is a member of the lipocalin family of proteins that transport small, hydrophobic ligands. LCN2 is elevated in various cancers including esophageal squamous cell carcinoma (ESCC). In this study, LCN2 was overexpressed in the EC109 ESCC cell line and we applied integrated analyses of the gene expression data to identify protein-protein interactions (PPI) network to enhance our understanding of the role of LCN2 in ESCC. Through further mining of PPI sub-networks, hundreds of differentially expressed genes (DEGs) were identified to interact with thousands of other proteins. Subcellular localization analyses found the DEGs and their directly or indirectly interacting proteins distributed in multiple layers, which was applied to analyze the possible paths between two DEGs. Gene Ontology annotation generated a functional annotation map and found hundreds of significant terms, especially those associated with the known and potential roles of LCN2 protein. The algorithm of Random Walk with Restart was applied to prioritize the DEGs and identified several cancer-related DEGs ranked closest to LCN2 protein. These analyses based on PPI network have greatly expanded our understanding of the mRNA expression profile of LCN2 overexpression for future examination of the roles and mechanisms of LCN2.

Indexed as

Gene Expression Regulation, NeoplasticModels, BiologicalAcute-Phase ProteinsAlgorithmsCarcinoma, Squamous CellComputer SimulationEsophageal NeoplasmsGene Expression ProfilingHumansLipocalin-2LipocalinsNeoplasm ProteinsProto-Oncogene ProteinsSignal TransductionUp-RegulationAcute-Phase ProteinsLCN2 protein, humanLipocalin-2LipocalinsNeoplasm ProteinsProto-Oncogene Proteins

Identifiers

PMID24954627
PMCPMC4066265
OpenAlexW2014116656

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.