ArticleOncology letters2017
Bioinformatics analysis of key genes and latent pathway interactions based on the anaplastic thyroid carcinoma gene expression profile.
Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 27 citations in OpenAlex.
- Prediction of novel target genes and pathways involved in tall cell variant papillary thyroid carcinoma.Medicine · 2018Trial
- Integrated bioinformatics and molecular docking identify novel key genes, pathways, and potential candidate drugs in papillary thyroid carcinoma.Journal, genetic engineering & biotechnology · 2026Article
- NF-κB in Thyroid Cancer: An Update.International journal of molecular sciences · 2024Review
- Selected using bioinformatics and molecular docking analyses, PHA-793887 is effective against osteosarcoma.Aging · 2021Article
- Identification of a Six Gene Prognosis Signature for Papillary Thyroid Cancer Using Multi-Omics Methods and Bioinformatics Analysis.Frontiers in oncology · 2021Article
- Identification of the EMT-Related Genes Signature for Predicting Occurrence and Progression in Thyroid Cancer.OncoTargets and therapy · 2021Article
- TMEM158 May Serve as a Diagnostic Biomarker for Anaplastic Thyroid Carcinoma: An Integrated Bioinformatic Analysis.Current medical science · 2020Article
- TPX2 Promotes Metastasis and Serves as a Marker of Poor Prognosis in Non-Small Cell Lung Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- Article
- Identifying 8-mRNAsi Based Signature for Predicting Survival in Patients With Head and Neck Squamous Cell Carcinoma via Machine Learning.Frontiers in genetics · 2020Article
- Effects of resveratrol on reducing spermatogenic dysfunction caused by high-intensity exercise.Reproductive biology and endocrinology : RB&E · 2019Article
- CCL28 Is Involved in Mucosal IgA Responses, Olfaction, and Resistance to Enteric Infections.Journal of interferon & cytokine research : the official journal of the International Society for Interferon and Cytokine Research · 2019Article
- Integrated Bioinformatics Analysis of Hub Genes and Pathways in Anaplastic Thyroid Carcinomas.International journal of endocrinology · 2019Article
- Genetic expression profile-based screening of genes and pathways associated with papillary thyroid carcinoma.Oncology letters · 2018Article
- Fold change based approach for identification of significant network markers in breast, lung and prostate cancer.IET systems biology · 2018Article
- Identification of common key genes in breast, lung and prostate cancer and exploration of their heterogeneous expression.Oncology letters · 2018Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Anaplastic thyroid carcinoma (ATC) is an aggressive malignant disease in older adults with a high mortality rate. The present study aimed to examine several key genes and pathways, which are associated with ATC. The GSE33630 gene expression profile was downloaded from the Gene Expression Omnibus database, which included 11 ATC and 45 normal thyroid samples. The differentially expressed genes (DEGs) in ATC were identified using the Limma package in R. The Gene Ontology functions and Kyoto Encyclopedia of Genes and Genomes pathways of the selected DEGs were enriched using the Database for Annotation, Visualization and Integrated Discovery. A protein-protein interaction (PPI) network of the DEGs was constructed to select significant modules. Furthermore, a latent pathway interactive network was constructed to select the significant pathways associated with ATC. A total of 665 DEGs in the ATC samples were screened, and four significant modules were selected from the PPI network. The DEGs in the four modules were enriched in several functions and pathways. In addition, 29 significant pathways associated with ATC were selected, and he Toll-like receptor (TLR) signaling pathway, extracellular matrix (ECM)-receptor interaction and cytokine-cytokine interaction pathway were identified as important pathways. FBJ murine osteosarcoma viral oncogene homolog (FOS), chemokine C-X-C motif ligand 10 (CXCL10), collagen type V α1 (COL5A1) and chemokine (C-C motif) ligand 28 (CCL28) were the key DEGs involved in these significant pathways. The data obtained in the present study revealed that the TLR signaling pathway, ECM-receptor interaction and cytokine-cytokine receptor interaction pathway, and the FOS, CXCL10, COL5A1, COL11A1 and CCL28 genes have different roles in the progression of ATC, and these may be used as therapeutic targets for ATC.
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