Evidence map›Paper›PMID 27149165›Full record

ArticleScientific reports2016

Identifying novel genes and chemicals related to nasopharyngeal cancer in a heterogeneous network.

Zhandong Li, Lifeng An, Hao Li, ShaoPeng Wang, You Zhou, Fei Yuan, Lin Li

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Excavation of attractor modules for nasopharyngeal carcinoma via integrating systemic module inference with attract method.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2017
    Article
  3. Article
  4. 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

7 authors at 5 institutions in 1 country.

Zhandong LiCollege of Biology and Food Engineering, Jilin Engineering Normal University, Changchun, China.
Lifeng AnDepartment of Otorhinolaryngology and Head &Neck, China-Japan Union Hospital attached to Jilin University, Changchun, China.
Hao LiCollege of Biology and Food Engineering, Jilin Engineering Normal University, Changchun, China.
ShaoPeng WangSchool of Life Sciences, Shanghai University, Shanghai, China.
You ZhouInstitute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences &Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Fei YuanInstitute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences &Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lin LiDepartment of Otorhinolaryngology and Head &Neck, China-Japan Union Hospital attached to Jilin University, Changchun, China.
Jilin Engineering Normal University · CNUnion Hospital · CNChinese Academy of Sciences · CNShanghai Institutes for Biological Sciences · CNShanghai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nasopharyngeal cancer or nasopharyngeal carcinoma (NPC) is the most common cancer originating in the nasopharynx. The factors that induce nasopharyngeal cancer are still not clear. Additional information about the chemicals or genes related to nasopharyngeal cancer will promote a better understanding of the pathogenesis of this cancer and the factors that induce it. Thus, a computational method NPC-RGCP was proposed in this study to identify the possible relevant chemicals and genes based on the presently known chemicals and genes related to nasopharyngeal cancer. To extensively utilize the functional associations between proteins and chemicals, a heterogeneous network was constructed based on interactions of proteins and chemicals. The NPC-RGCP included two stages: the searching stage and the screening stage. The former stage is for finding new possible genes and chemicals in the heterogeneous network, while the latter stage is for screening and removing false discoveries and selecting the core genes and chemicals. As a result, five putative genes, CXCR3, IRF1, CDK1, GSTP1, and CDH2, and seven putative chemicals, iron, propionic acid, dimethyl sulfoxide, isopropanol, erythrose 4-phosphate, β-D-Fructose 6-phosphate, and flavin adenine dinucleotide, were identified by NPC-RGCP. Extensive analyses provided confirmation that the putative genes and chemicals have significant associations with nasopharyngeal cancer.

Indexed as

Gene-Environment InteractionGene Expression Regulation, Neoplastic2-PropanolAntigens, CDCadherinsCarcinomaCDC2 Protein KinaseComputational BiologyDimethyl SulfoxideFlavin-Adenine DinucleotideFructosephosphatesGene Expression ProfilingGlutathione S-Transferase piHumansInterferon Regulatory Factor-1Iron2-PropanolAntigens, CDCadherinsCDC2 Protein KinaseCDH2 protein, humanCDK1 protein, humanCXCR3 protein, humanDimethyl Sulfoxideerythrose 4-phosphateFlavin-Adenine Dinucleotidefructose-6-phosphateFructosephosphatesGlutathione S-Transferase piGSTP1 protein, humanInterferon Regulatory Factor-1IRF1 protein, humanIronPropionatespropionic acidReceptors, CXCR3Sugar Phosphates

Identifiers

PMID27149165
PMCPMC4857740
OpenAlexW2409847192

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.