FLG Is a Potential Biomarker of Prognosis and Immunotherapy in Skin Cutaneous Melanoma

Shaobo Wu; Yuxia Liang; Qijuan Zang; Zixuan Xing; Pan Yin; Ruifang Sun; Bingling Dai

doi:10.1155/2022/5160748

FLG Is a Potential Biomarker of Prognosis and Immunotherapy in Skin Cutaneous Melanoma

Appl Bionics Biomech. 2022 May 14:2022:5160748. doi: 10.1155/2022/5160748. eCollection 2022.

Authors

Shaobo Wu¹, Yuxia Liang², Qijuan Zang¹, Zixuan Xing¹, Pan Yin¹, Ruifang Sun³, Bingling Dai⁴

Affiliations

¹ Health Science Center, Xi'an Jiaotong University, Shaanxi, Xi'an 710061, China.
² Department of Imaging, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, Xi'an 710061, China.
³ Department of Pathology, School of Basic Medical Sciences, Xi'an Jiaotong University, Shaanxi, Xi'an 710061, China.
⁴ School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Shaanxi, Xi'an 710061, China.

Abstract

Background: Skin cutaneous melanoma is one of most aggressive type of cancers worldwide. Therefore, the identification of SKCM biomarkers is of great importance. FLG gene is one of the genes that encode proteins involved in epidermal formation. This was the first time to study the role of FLG in the prognosis and immune infiltrates of skin cutaneous melanoma.

Methods: We downloaded the somatic mutation data of 471 SKCM patients from the Cancer Genome Atlas (TCGA) database and analyzed the mutation profiles with "MafTools" package. The expression of FLG and the overall survival in SKCM were analyzed by GEPIA. Additionally, univariate and multivariate Cox analyses were used to compare several clinical features with survival rates. We used TIMER to investigate FLG expression and collection of immune infiltration levels in SKCM, as well as cumulative survival in SKCM. Meanwhile, we also used CIBERSORT to investigate the association between FLG and cancer immune infiltration. In addition, gene set enrichment analysis (GSEA) was performed using the TCGA dataset. Furthermore, data from GEO and HPA was used to validate the results.

Results: Single nucleotide polymorphism (SNP) happened more frequently than insertion or deletion, and C > T was the most common of SNV in SKCM. We selected the first 15 mutated genes by analyzing 471 melanoma samples, and the prognosis analysis showed that only the high expression of mutated FLG gene was significantly correlated with the poor prognosis of SKCM. Multivariate Cox analysis showed that age, the worse tumor status, less lymph node metastasis, and FLG expression were independent factors for prognosis. Specifically, lower infiltration levels of B cell, CD8+ T cells, neutrophils, and dendritic cells correlated with poor survival outcomes in SKCM. GSEA revealed that FLG is closely related to cancer pathways and epidermal cell proliferation. In addition, the previous conclusions can be verified from external data from GEO and HPA.

Conclusion: The discovery of mutant gene FLG as a biomarker of SKCM helps elucidate how changes in the immune environment promote the occurrence of cutaneous melanoma. Further analysis suggested that FLG might be a new predictor of SKCM prognosis.

Publication types

Retracted Publication