FANCI serve as a prognostic biomarker correlated with immune infiltrates in skin cutaneous melanoma

被引:3
|
作者
Cai, Zhenguo [1 ,2 ]
Duan, Yanjuan [3 ]
Li, Wen [1 ]
Liu, Zhuohang [4 ]
Gong, Zijun [5 ]
Hong, Sheng [2 ]
He, Xu [2 ]
Xuanyuan, Xinyang [2 ]
Chen, Youdong [6 ]
Bi, Xinling [2 ]
Wang, Wuqing [1 ]
机构
[1] Shanghai Univ Tradit Chinese Med, Shuguang Hosp, Dept Dermatol, Shanghai, Peoples R China
[2] Naval Med Univ, Changhai Hosp, Dept Dermatol, Shanghai, Peoples R China
[3] Shanghai Univ Tradit Chinese Med, Peoples Hosp 7, Dept Dermatol, Shanghai, Peoples R China
[4] Fudan Univ, Cent Hosp Minhang Dist, Minhang Hosp, Dept Neurol, Shanghai, Peoples R China
[5] Fudan Univ, Zhongshan Hosp, Dept Gen Surg, Shanghai, Peoples R China
[6] Fudan Univ, Huashan Hosp, Dept Dermatol, Shanghai, Peoples R China
来源
FRONTIERS IN IMMUNOLOGY | 2023年 / 14卷
基金
上海市自然科学基金;
关键词
FANCI; skin cutaneous melanoma; prognostic biomarker; immune infiltrates; immunotherapy; CANCER;
D O I
10.3389/fimmu.2023.1295831
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
BackgroundAs a member of tumor, Skin cutaneous melanoma (SKCM) poses a serious threat to people's health because of its strong malignancy. Unfortunately, effective treatment methods for SKCM remain lacking. FANCI plays a vital role in the occurrence and metastasis of various tumor types. However, its regulatory role in SKCM is unclear. The purpose of this study was to explore the association of FANCI with SKCM.MethodsThis study investigated the expression of FANCI in GSE46517, GSE15605, and GSE114445 from the Gene Expression Omnibus database and The Cancer Genome Atlas (TCGA)-SKCM datasets using the package "limma" or "DESeq2" in R environment and also investigated the prognostic significance of FANCI by utilizing the GEPIA database. Additionally, our research made use of real-time quantitative polymerase chain reaction (RT-qPCR) and immunohistochemical (IHC) staining to verify FANCI expression between SKCM and normal tissues and developed the knockdown of FANCI in A375 and A875 cells to further analyze the function of FANCI. Finally, this study analyzed the correlation of FANCI and tumor-infiltrating immune cells by CIBERSORT, ESTIMATE, and ssGSEA algorithms.ResultsThe FANCI level was increasing in SKCM tissues from GSE46517, GSE15605, GSE114445, and TCGA-SKCM. However, high FANCI expression correlated with poor overall survival. The RT-qPCR and IHC confirmed the accuracy of bioinformatics. Knocking down FANCI suppresses A375 and A875 cell proliferation, migration, and invasion. FANCI could be involved in the immunological milieu of SKCM by regulating immune responses and infiltrating numerous immune cells, particularly neutrophils, CD8+ T cells, and B cells. Furthermore, patients with SKCM who have a high FANCI expression level are reported to exhibit immunosuppression, whereas those with a low FANCI expression level are more likely to experience positive outcomes from immunotherapy.ConclusionsThe increased FANCI expression in SKCM can be a prognostic biomarker. Knockdown FANCI can reduce the occurrence and progression of SKCM. The FANCI expression provides a foundation for predicting the immune status and treatment of SKCM.
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收藏
页数:14
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