Evidence map›Paper›PMID 33025856›Full record

ArticleTechnology in cancer research & treatment

Identification of Hub Genes in Anaplastic Thyroid Carcinoma: Evidence From Bioinformatics Analysis.

Liqi Li, Mingjie Zhu, Hu Huang, Junqiang Wu, Dong Meng

Open access · goldAbstract read
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. The role and therapeutic value of NUSAP1 in human cancers.Journal of translational medicine · 2025
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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

5 authors at 1 institution in 1 country.

Liqi LiDepartment of Thyroid and Breast Surgery, the Affiliated Hospital of Jiangnan University, Wuxi, People's Republic of China.
Mingjie ZhuDepartment of Thyroid and Breast Surgery, the Affiliated Hospital of Jiangnan University, Wuxi, People's Republic of China.
Hu HuangDepartment of Thyroid and Breast Surgery, the Affiliated Hospital of Jiangnan University, Wuxi, People's Republic of China.
Junqiang WuDepartment of Thyroid and Breast Surgery, the Affiliated Hospital of Jiangnan University, Wuxi, People's Republic of China.ORCID 0000-0003-2659-4516
Dong MengDepartment of Thyroid and Breast Surgery, the Affiliated Hospital of Jiangnan University, Wuxi, People's Republic of China.ORCID 0000-0001-9622-1737
Jiangnan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anaplastic thyroid carcinoma (ATC) is a rare type of thyroid cancer that results in fatal clinical outcomes; the pathogenesis of this life-threatening disease has yet to be fully elucidated. This study aims to identify the hub genes of ATC that may play key roles in ATC development and could serve as prognostic biomarkers or therapeutic targets. Two microarray datasets (GSE33630 and GSE53072) were obtained from the Gene Expression Omnibus database; these sets included 16 ATC and 49 normal thyroid samples. Differential expression analyses were performed for each dataset, and 420 genes were screened as common differentially expressed genes using the robust rank aggregation method. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were conducted to explore the potential bio-functions of these differentially expressed genes (DEGs). The terms and enriched pathways were primarily associated with cell cycle, cell adhesion, and cancer-related signaling pathways. Furthermore, a protein-protein interaction network of DEG expression products was constructed using Cytoscape. Based on the whole network, we identified 7 hub genes that included

Indexed as

Biomarkers, TumorCell Cycle ProteinsComputational BiologyGene Expression Regulation, NeoplasticGene OntologyGene Regulatory NetworksHumansMicroarray AnalysisProtein Interaction MapsSignal TransductionThyroid Carcinoma, AnaplasticTranscriptomeBiomarkers, TumorCell Cycle Proteinsanaplastic thyroid carcinomabioinformaticsexpression profilingGEOprotein-protein interaction

Identifiers

PMID33025856
PMCPMC7545761
OpenAlexW3092423807

What OpenQuestion holds

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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.