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Identification of shared immune infiltration characteristic molecules in dermatomyositis and nasopharyngeal carcinoma using bioinformatics: Traits in dermatomyositis and nasopharyngeal cancer.
Kai, Jinyan; Huang, Haitao; Su, Jiaqi; Chen, Qiong.
Affiliation
  • Kai J; Department of Clinical Medical Laboratory, The Affiliated Second Hospital of Xiamen Medical College, Xiamen, Fujian, China.
  • Huang H; Department of Microbiology, Guilin Medical University, Guilin, Guangxi, China.
  • Su J; Department of Clinical Medical Laboratory, The Affiliated Second Hospital of Xiamen Medical College, Xiamen, Fujian, China.
  • Chen Q; Department of Traditional Chinese Medicine, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Skin Res Technol ; 30(8): e13871, 2024 Aug.
Article in En | MEDLINE | ID: mdl-39081134
ABSTRACT

BACKGROUND:

Dermatomyositis (DM) is a kind of dermatologically associated autoimmune disease that is notably associated with an increased risk of concurrent malignancies, although the underlying mechanisms remain to be fully elucidated. The purpose of this investigation was to examine the immunological parallels between DM and nasopharyngeal carcinoma (NPC), with the aim of identifying pivotal biomarkers that could facilitate a deeper understanding and enhance the predictive capabilities of NPC in DM patients.

METHOD:

Data for DM and NPC were sourced from the Gene Expression Omnibus (GEO) database. Immune infiltration was analyzed using the "cibersort" R package, differentially expressed genes (DEGs) were identified with the "limma" package, and functional pathways were investigated through Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses. Characteristic genes were determined by Utilizing Protein-Protein Interaction (PPI) and Least Absolute Shrinkage and Selection Operator (LASSO), and their features were validated using the GSE53819 dataset.

RESULTS:

In comparison to normal samples, significant infiltration of macrophage M1 was observed in both DM and NPC. The analysis revealed 77 DEGs in DM and 1051 DEGs in NPC, with 22 genes found to be co-DEGs. Following PPI and LASSO analysis, six distinctive genes were retained. Notably, CCL8, IFIH1, CXCL10, and CXCL11 exhibited optimal diagnostic efficacy for NPC and displayed significant correlation with macrophage M1 infiltration within the carcinoma.

CONCLUSION:

Four characteristic genes, CCL8, IFIH1, CXCL10, and CXCL11 are risk factors for both DM and NPC. They exhibit a robust correlation with the incidence of NPC and offer a commendable diagnostic efficacy. Furthermore, they may serve as prospective predictive biomarkers for the emergence of NPC in DM.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Nasopharyngeal Neoplasms / Computational Biology / Dermatomyositis / Nasopharyngeal Carcinoma Limits: Humans Language: En Journal: Skin Res Technol Journal subject: DERMATOLOGIA Year: 2024 Document type: Article Affiliation country: China Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Nasopharyngeal Neoplasms / Computational Biology / Dermatomyositis / Nasopharyngeal Carcinoma Limits: Humans Language: En Journal: Skin Res Technol Journal subject: DERMATOLOGIA Year: 2024 Document type: Article Affiliation country: China Country of publication: United kingdom