Evidence map›Paper›PMID 32116234›Full record

ArticleCancer biomarkers : section A of Disease markers2020

Identification of hub genes and pathways in cholangiocarcinoma by coexpression analysis.

Junjie Kong, Shu Shen, Zifei Zhang, Wentao Wang

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Placental-Cadherin, a biomarker for local immune status and poor prognosis among patients with tongue squamous cell carcinoma.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2022
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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

4 authors.

Junjie Kong
Shu Shen
Zifei Zhang
Wentao Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCholangiocarcinoma (CCA) is the most common biliary malignancy worldwide. However, the molecular mechanisms of its tumorigenesis and progression are still largely unclear.

objectiveThis study aimed to explore the hub genes and pathways associated with CCA prognosis by coexpression analysis.

methodsA coexpression network complex was constructed using the top 20% most variant genes in the GSE89748 dataset to find modules associated with prognosis related clinical trait-histology. The hub genes in the clinically significant modules were defined as candidates if they were common in both the coexpression network and protein-protein interaction (PPI) network. Afterwards, survival analysis, expression level analysis and a series of bioinformatic analysis were used to validate the hub genes.

resultsTwenty-five modules were obtained, and the cyan, light cyan and red modules regarded as closely associated with histology were selected. Subsequently, combining the PPI network complexes and coexpression networks, we screened 20 candidates. After expression and survival analysis, 10 real hub genes (LIMA1, HDAC1, ITGA3, ACTR3, GSK3B, ITGA2, THOC2, PTGES3, HEATR1 and ILF2) were finally identified. Additionally, functional enrichment analysis revealed that the hub genes were mainly enriched in cell cycle-related pathways.

conclusionsOverall, this study identified 10 hub genes and cell cycle-related pathways were closely related to CCA development, progression and prognosis, which may contribute to CCA diagnosis and treatment.

Indexed as

Bile Duct NeoplasmsBiomarkers, TumorCell CycleCholangiocarcinomaComputational BiologyDatabases, GeneticDisease ProgressionGene Expression ProfilingGene Regulatory NetworksHumansPrognosisProtein Interaction MapsSurvival RateBiomarkers, Tumorbioinformatics analysisCholangiocarcinomaprognosisweighted gene coexpression network analysis (WGCNA)

Identifiers

PMID32116234
PMCPMC12662316
OpenAlexW3006892165

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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.