Identification of a Diagnostic Signature and Immune Cell Infiltration Characteristics in Keloids

被引:5
|
作者
Xia, Yijun [1 ]
Wang, Youbin [2 ]
Xiao, Yingjie [3 ]
Shan, Mengjie [1 ]
Hao, Yan [1 ]
Zhang, Lingyun [4 ]
机构
[1] Chinese Acad Med Sci, Peking Union Med Coll Hosp, Peking Union Med Coll, Dept Plast Surg, Beijing, Peoples R China
[2] Peking Union Med Coll Hosp, Dept Plast Surg, Beijing, Peoples R China
[3] Zhejiang Univ, Affiliated Hosp 2, Sch Med, Dept Cardiothorac Surg, Hangzhou, Peoples R China
[4] Heze Municipal Hosp, Dept Plast Surg, Heze, Peoples R China
基金
中国国家自然科学基金;
关键词
keloid; diagnostic signature; immune cell infiltration; ssGSEA; TGM2; TRANSGLUTAMINASE; 2; EXPRESSION; PROLIFERATION; ASSOCIATION; MICRORNA-29; FIBROSIS; ADHESION; DATABASE; PLAYER;
D O I
10.3389/fmolb.2022.879461
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Background: Keloid disorder is a recurrent fibroproliferative cutaneous tumor. Due to the lack of early identification of keloid patients before the formation of keloids, it is impossible to carry out pre-traumatic intervention and prevention for these patients. This led us to identify and determine signatures with diagnostic significance for keloids.Methods: Public series of matrix files were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were calculated from expression profiling data, and the diagnostic signature was identified by constructing a protein-protein interaction (PPI) network. The diagnostic efficacy of the screened signature was assessed by employing receiver operating characteristic (ROC) curves. Furthermore, we calculated the proportion of different immune cells in the gene expression matrix microenvironment by the "ssGSEA" algorithm, and assessed the difference in immune cell abundance between keloids and control groups and the relationship between the signature and immune cell infiltration. Clinical keloid and normal skin tissues were collected, and the expression of the screened diagnostic signature was validated by RT-qPCR and immunohistochemical assay.Results: By screening the key genes in PPI, TGM2 was recognized and validated as a diagnostic signature and the infiltrating abundance of 10 immune cells was significantly correlated with TGM2 expression. Gene ontology enrichment analysis demonstrated that TGM2 and molecules interacting with it were mainly enriched in processes involving wound healing and collagen fiber organization. TGM2 correlated positively with HIF-1A (R = 0.82, p-value = 1.4e-05), IL6 (R = 0.62, p-value = 0.0053), and FN1 (R = 0.66, p-value = 0.0019). Besides, TGM2 was significantly upregulated in clinical keloid samples compared to normal skin tissues.Conclusion: TGM2 may serve as an auxiliary diagnostic indicator for keloids. However, the role of TGM2 in keloids has not been adequately reported in the current literature, which may provide a new direction for molecular studies of keloids.
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页数:12
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