A Leukocyte Infiltration Score Defined by a Gene Signature Predicts Melanoma Patient Prognosis

Molecular Cancer Research : MCR
Yanding ZhaoChao Cheng

Abstract

Melanoma is the most aggressive type of skin cancer in the United States with an increasing incidence. Melanoma lesions often exhibit high immunogenicity, with infiltrating immune cells playing important roles in regression of tumors occurring spontaneously or caused by therapeutic treatment. Computational and experimental methods have been used to estimate the abundance of immune cells in tumors, but their applications are limited by the requirement of large gene sets or multiple antibodies. Although the prognostic role of immune cells has been appreciated, a systematic investigation of their association with clinical factors, genomic features, prognosis and treatment response in melanoma is still lacking. This study, identifies a 25-gene signature based on RNA-seq data from The Cancer Genome Atlas (TCGA)-Skin Cutaneous Melanoma (TCGA-SKCM) dataset. This signature was used to calculate sample-specific Leukocyte Infiltration Scores (LIS) in six independent melanoma microarray datasets and scores were found to vary substantially between different melanoma lesion sites and molecular subtypes. For metastatic melanoma, LIS was prognostic in all datasets with high LIS being associated with good survival. The current approach provide...Continue Reading

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Citations

Feb 6, 2020·The British Journal of Dermatology·A E Cust
May 23, 2020·Nucleic Acids Research·Taiwen LiX Shirley Liu
Dec 18, 2020·Frontiers in Oncology·Jie YuJing Ruan
Feb 23, 2019·Cancer Discovery·Grant M FischerMichael A Davies
Aug 19, 2021·Gastric Cancer : Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association·Ziyu LiJiafu Ji

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