Predicting the Risk of Melanoma Metastasis Using an Immune Risk Score in the Melanoma Cohort.

ABSTRACT: Melanoma is a highly aggressive cancer, attracting increasing attention worldwide. The 5-year survival rate of patients with metastatic melanoma is low. Therefore, it is critical to identify potential effective biomarkers for diagnosis of melanoma metastasis. In the present study, the melanoma cohort and immune genes were obtained from the Cancer Genome Atlas (TCGA) database and the ImmPort database, respectively. Then, we constructed the immune risk score (IRS) using univariate and multivariate logistic analysis. The area under the curve (AUC) of IRS in sequencing samples and the initial diagnosis patients was 0.90 and 0.80, respectively. Besides, IRS could add benefits for metastasis diagnosis. For sequencing samples, IRS (OR = 16.35, 95% CI = 8.74-30.59) increased the odds for melanoma

SUBMITTER: Sheng Y 

PROVIDER: S-EPMC7136491 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature