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pmid:35782055

Recognition of Key Genes in Human Anaplastic Thyroid Cancer via the Weighing Gene Coexpression Network.

Yun Gong · Fanghua Xu · Lifei Deng · Lifen Peng

BioMed research international · 2022 doi:10.1155/2022/2244228

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:35782055
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science-record
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sha256:fff4b9b2c64eca8bccd309bb020535e46d17e2ef35c09f16e63a475187e4bb51
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2026-11-01T18:14:48Z
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2026-11-01T22:49:26Z
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paper object · 10 fields
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title
Recognition of Key Genes in Human Anaplastic Thyroid Cancer via the Weighing Gene Coexpression Network.
doi
10.1155/2022/2244228
pmid
35782055
authors array · 4 items
[0]
Yun Gong
[1]
Fanghua Xu
[2]
Lifei Deng
[3]
Lifen Peng
journal
BioMed research international
year
2022
abstract
Methods: For determining pathways and key genes that have relation with development of ATC, differentially expressed genes (DEGs) from GSE33630 as well as GSE65144 expression microarray were screened. Furthermore, we also worked on carrying out the task of constructing a protein-protein interaction (PPI) network and the work of weighing gene coexpression network (WGCNA). DAVID was utilized for the performance of the Gene Ontology (GO) as well as KEGG pathway enrichment analyses for DEGs. We used TCGA THCA data and GSE53072 to further verify the hub gene and hub pathway. Results: We came to the conclusion of the recognition of a total of 1063 genes as DEGs. Analysis regarding functional and pathway enrichment showed that there existed a notable enrichment of upregulated DEGs in the organization of extracellular structure and matrix organization, as well as in organelle fission and nuclear division. The downregulated DEG was markedly gathered in the thyroid hormone metabolic process and generation, as well as in the metabolic process of cellular modified amino acid. We identified 10 hub genes (CXCL8, CDH1, AURKA, CCNA2, FN1, CDK1, ITGAM, CDC20, MMP9, and KIF11) through the PPI network, which might be strongly linked to the carcinogenesis and the development of ATC. In the coexpression network, 6 modules that were relevant to ATC were recognized. The modules were related to the interaction of signaling pathway of p53, Hippo, PI3K/Akt, and ECM-receptor. This hub genes and hub pathway were further successfully validated as a potential biomarker for carcinogenesis and prediction in another database GSE53072. Conclusion: To summarize, this research displayed an illustration of hub genes and pathways that had relation with ATC development, which suggested that DEGs and hub genes, recognized on the basis of bioinformatics analyses, were valuable in the diagnosis for patients with ATC.
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For the further step, the “limma” R package was performed as the assistance of recognizing differentially expressed genes (DEGs) between anaplastic thyroid carcinoma's and normal thyroid's samples [15].
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sections[4] "2.2. DEG Screening" paragraph 2
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For the further step, the “limma” R package was performed as the assistance of recognizing differentially expressed genes (DEGs) between anaplastic thyroid carcinoma's and normal thyroid's samples [15].
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sections[18] "Data Availability" paragraph 2
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The data used to support the findings of this research can be obtained from the corresponding author upon request.
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1063 genes were recognized as differentially expressed between ATC tissues and normal thyroid tissues, comprising 447 upregulated and 616 downregulated genes.
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sections[11] "3.1. Identification of DEGs in ATC Tissues" paragraph 2
quote
After conducting gene differential expression analysis of microarray data, 1063 genes in all were recognized as DEGs, 447 genes that were upregulated and 616 genes that were downregulated in tumor tissues (Supplementary Table S1).
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1063 genes were recognized as differentially expressed between ATC tissues and normal thyroid tissues, comprising 447 upregulated and 616 downregulated genes.
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Gene expression profilling of anaplastic thyroid carcinomas (ATC) and normal thyroid tissues
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Gene array analysis of anaplastic thyroid carcinoma tissue versus matched and unmatched normal thyroid tissue
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For the further step, the “limma” R package was performed as the assistance of recognizing differentially expressed genes (DEGs) between anaplastic thyroid carcinoma's and normal thyroid's samples [15].
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35782055", "kind": "science-record", "revision": 5, "content_hash": "sha256:fff4b9b2c64eca8bccd309bb020535e46d17e2ef35c09f16e63a475187e4bb51", "created_at": "2026-11-01T18:14:48Z", "updated_at": "2026-11-01T22:49:26Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Recognition of Key Genes in Human Anaplastic Thyroid Cancer via the Weighing Gene Coexpression Network.", "doi": "10.1155/2022/2244228", "pmid": "35782055", "authors": ["Yun Gong", "Fanghua Xu", "Lifei Deng", "Lifen Peng"], "journal": "BioMed research international", "year": 2022, "abstract": "Methods: For determining pathways and key genes that have relation with development of ATC, differentially expressed genes (DEGs) from GSE33630 as well as GSE65144 expression microarray were screened. Furthermore, we also worked on carrying out the task of constructing a protein-protein interaction (PPI) network and the work of weighing gene coexpression network (WGCNA). DAVID was utilized for the performance of the Gene Ontology (GO) as well as KEGG pathway enrichment analyses for DEGs. We used TCGA THCA data and GSE53072 to further verify the hub gene and hub pathway.\nResults: We came to the conclusion of the recognition of a total of 1063 genes as DEGs. Analysis regarding functional and pathway enrichment showed that there existed a notable enrichment of upregulated DEGs in the organization of extracellular structure and matrix organization, as well as in organelle fission and nuclear division. The downregulated DEG was markedly gathered in the thyroid hormone metabolic process and generation, as well as in the metabolic process of cellular modified amino acid. We identified 10 hub genes (CXCL8, CDH1, AURKA, CCNA2, FN1, CDK1, ITGAM, CDC20, MMP9, and KIF11) through the PPI network, which might be strongly linked to the carcinogenesis and the development of ATC. In the coexpression network, 6 modules that were relevant to ATC were recognized. The modules were related to the interaction of signaling pathway of p53, Hippo, PI3K/Akt, and ECM-receptor. This hub genes and hub pathway were further successfully validated as a potential biomarker for carcinogenesis and prediction in another database GSE53072.\nConclusion: To summarize, this research displayed an illustration of hub genes and pathways that had relation with ATC development, which suggested that DEGs and hub genes, recognized on the basis of bioinformatics analyses, were valuable in the diagnosis for patients with ATC.", "claims": [{"id": "claim-method", "statement": "For the further step, the “limma” R package was performed as the assistance of recognizing differentially expressed genes (DEGs) between anaplastic thyroid carcinoma's and normal thyroid's samples [15].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35782055", "locator": "sections[4] \"2.2. DEG Screening\" paragraph 2", "quote": "For the further step, the “limma” R package was performed as the assistance of recognizing differentially expressed genes (DEGs) between anaplastic thyroid carcinoma's and normal thyroid's samples [15]."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data used to support the findings of this research can be obtained from the corresponding author upon request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35782055", "locator": "sections[18] \"Data Availability\" paragraph 2", "quote": "The data used to support the findings of this research can be obtained from the corresponding author upon request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "1063 genes were recognized as differentially expressed between ATC tissues and normal thyroid tissues, comprising 447 upregulated and 616 downregulated genes.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35782055", "locator": "sections[11] \"3.1. Identification of DEGs in ATC Tissues\" paragraph 2", "quote": "After conducting gene differential expression analysis of microarray data, 1063 genes in all were recognized as DEGs, 447 genes that were upregulated and 616 genes that were downregulated in tumor tissues (Supplementary Table S1)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "1063 genes were recognized as differentially expressed between ATC tissues and normal thyroid tissues, comprising 447 upregulated and 616 downregulated genes.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:35782055"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE33630"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE33630"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35782055", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2022/2244228", "sha256": 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