Development of an IFNγ response‐related signature for predicting the survival of cutaneous melanoma

Autor: Baohui Hu, Qian Wei, Xueping Li, Mingyi Ju, Lin Wang, Chenyi Zhou, Lianze Chen, Zinan Li, Minjie Wei, Miao He, Lin Zhao
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Cancer Medicine, Vol 9, Iss 21, Pp 8186-8201 (2020)
Druh dokumentu: article
ISSN: 2045-7634
65621247
DOI: 10.1002/cam4.3438
Popis: Abstract Background The tumor microenvironment (TME) plays a critical role in tumorigenesis, development, and therapeutic efficacy. Major advances have been achieved in the treatment of various cancers through immunotherapy. Nevertheless, only a minority of patients have positive responses to immunotherapy, which is partly due to conditions of the immunosuppressive microenvironment. Therefore, it is essential to identify prognostic biomarkers that reflect heterogeneous landscapes of the TME. Methods and materials Based upon the ESTIMATE algorithm, we evaluated the infiltrating levels of immune and stromal components derived from patients afflicted by various types of cancer from The Cancer Genome Atlas database (TCGA). According to respective patient immune and stromal scores, we categorized cases into high‐ and low‐scoring subgroups for each cancer type to explore associations between TME and patient prognosis. Gene Set Enrichment Analyses (GSEA) were conducted and genes enriched in IFNγ response signaling pathway were selected to facilitate establishment of a risk model for predicting overall survival (OS). Furthermore, we investigated the associations between the prognostic signature and tumor immune infiltration landscape by using CIBERSORT algorithm and TIMER database. Results Among the cancers assessed, the immune scores for skin cutaneous melanoma (SKCM) were the most significantly correlated with patients' survival time (P
Databáze: Directory of Open Access Journals
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