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A novel risk score predicts prognosis in melanoma: The combination of three tumor-infiltrating immune cells and four immune-related genes.
Wu, Pin; Cai, Jiaying; Fan, Shengjun; Liu, Qian; Huyan, Tianru; He, Yao; Li, Xuejun; Zhang, Long; Su, Jing; Tie, Lu.
Afiliação
  • Wu P; Department of Pharmacology and Department of Pathology, School of Basic Medical Sciences, Peking University, Beijing 100191, China; Beijing Key Laboratory of Tumor Systems Biology, Peking University, Beijing 100191, China.
  • Cai J; Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
  • Fan S; Department of Pharmacology and Department of Pathology, School of Basic Medical Sciences, Peking University, Beijing 100191, China; Beijing Key Laboratory of Tumor Systems Biology, Peking University, Beijing 100191, China.
  • Liu Q; Department of Pharmacology and Department of Pathology, School of Basic Medical Sciences, Peking University, Beijing 100191, China; Beijing Key Laboratory of Tumor Systems Biology, Peking University, Beijing 100191, China.
  • Huyan T; Department of Pharmacology and Department of Pathology, School of Basic Medical Sciences, Peking University, Beijing 100191, China; Beijing Key Laboratory of Tumor Systems Biology, Peking University, Beijing 100191, China.
  • He Y; Department of Pharmacology and Department of Pathology, School of Basic Medical Sciences, Peking University, Beijing 100191, China; Beijing Key Laboratory of Tumor Systems Biology, Peking University, Beijing 100191, China.
  • Li X; Department of Pharmacology and Department of Pathology, School of Basic Medical Sciences, Peking University, Beijing 100191, China; Beijing Key Laboratory of Tumor Systems Biology, Peking University, Beijing 100191, China.
  • Zhang L; Department of Pathology and Department of Interventional Radiology and Vascular Surgery and Wound Healing Center, Peking University Third Hospital, Beijing 100191, China.
  • Su J; Department of Pharmacology and Department of Pathology, School of Basic Medical Sciences, Peking University, Beijing 100191, China; Department of Pathology and Department of Interventional Radiology and Vascular Surgery and Wound Healing Center, Peking University Third Hospital, Beijing 100191, Chin
  • Tie L; Department of Pharmacology and Department of Pathology, School of Basic Medical Sciences, Peking University, Beijing 100191, China; Beijing Key Laboratory of Tumor Systems Biology, Peking University, Beijing 100191, China. Electronic address: tielu@bjmu.edu.cn.
Clin Immunol ; 228: 108751, 2021 07.
Article em En | MEDLINE | ID: mdl-33974996
ABSTRACT
Tumor-infiltrating immune cells (TIICs) and immune-related genes (IRGs) of melanoma are associated with prognosis. However, whether the combination of TIICs and IRGs can be used as prognostic clinical biomarkers are still unknown. Here, we downloaded transcription profile of melanoma from TCGA. Then, three TIICs and four IRGs that associated with the overall survival were used to constructed the Immune Cell Score (ICS) and Immune Gene Score (IGS) respectively. Next, to improve the accuracy of ICS and IGS for melanoma prognostic, we combined the ICS and IGS constructed the Immune Cell and Gene Score (ICGS) model. ICGS had higher accuracy and predictive ability than ICS or IGS. Meanwhile, ICGS model reliability was validated by two independent datasets of melanoma. Functional enrichment and protein-protein interaction network analysis based on ICGS were performed to identify T cell mediated immune and inflammatory response are highly associated with melanoma.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biomarcadores / Melanoma Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biomarcadores / Melanoma Idioma: En Ano de publicação: 2021 Tipo de documento: Article