Your browser doesn't support javascript.
loading
A CD8+ T cell-associated immune gene panel for prediction of the prognosis and immunotherapeutic effect of melanoma.
Sun, Shanwen; Zhi, Zhengke; Su, Yang; Sun, Jingxian; Li, Qianjun.
Affiliation
  • Sun S; Department of Medical Oncology, The Affiliated Huai'an Hospital of Xuzhou Medical University and The Second People's Hospital of Huai'an, Huaian, China.
  • Zhi Z; Department of Pediatric Surgery, Children's Hospital of Nanjing Medical University, Nanjing, China.
  • Su Y; Jiangsu Center for the Collaboration and Innovation of Cancer Biotherapy, Cancer Institute, Xuzhou Medical University, Xuzhou, China.
  • Sun J; Hypertension Research Institute of Geriatric Hospital of Nanjing Medical University, Jiangsu Province Official Hospital, Nanjing, China.
  • Li Q; Department of Gastroenterology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, China.
Front Immunol ; 13: 1039565, 2022.
Article in En | MEDLINE | ID: mdl-36341357
ABSTRACT

Background:

Skin cutaneous melanoma (SKCM) is the most frequently encountered tumor of the skin. Immunotherapy has opened a new horizon in melanoma treatment. We aimed to construct a CD8+ T cell-associated immune gene prognostic model (CDIGPM) for SKCM and unravel the immunologic features and the benefits of immunotherapy in CDIGPM-defined SKCM groups.

Method:

Single-cell SKCM transcriptomes were utilized in conjunction with immune genes for the screening of CD8+ T cell-associated immune genes (CDIGs) for succeeding assessment. Thereafter, through protein-protein interaction (PPI) networks analysis, univariate COX analysis, and multivariate Cox analysis, six genes (MX1, RSAD2, IRF2, GBP2, IFITM1, and OAS2) were identified to construct a CDIGPM. We detected cell proliferation of SKCM cells transfected with IRF2 siRNA. Then, we analyzed the immunologic features and the benefits of immunotherapy in CDIGPM-defined groups.

Results:

The overall survival (OS) was much better in low-CDIGPM group versus high CDIGPM group in TCGA dataset and GSE65904 dataset. On the whole, the results unfolded that a low CDIGPM showed relevance to immune response-correlated pathways, high expressions of CTLA4 and PD-L1, a high infiltration rate of CD8+ T cells, and more benefits from immunotherapy.

Conclusion:

CDIGPM is an good model to predict the prognosis, the potential immune escape from immunotherapy for SKCM, and define immunologic and molecular features.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Skin Neoplasms / Melanoma Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Front Immunol Year: 2022 Document type: Article Affiliation country: Publication country: CH / SUIZA / SUÍÇA / SWITZERLAND

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Skin Neoplasms / Melanoma Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Front Immunol Year: 2022 Document type: Article Affiliation country: Publication country: CH / SUIZA / SUÍÇA / SWITZERLAND