A Nomogram Combining a Four-Gene Biomarker and Clinical Factors for Predicting Survival of Melanoma.

ABSTRACT:

Background

Currently there is no effective prognostic indicator for melanoma, the deadliest skin cancer. Thus, we aimed to develop and validate a nomogram predictive model for predicting survival of melanoma.

Methods

Four hundred forty-nine melanoma cases with RNA sequencing (RNA-seq) data from TCGA were randomly divided into the training set I (n = 224) and validation set I (n = 225), 210 melanoma cases with RNA-seq data from Lund cohort of Lund University (available in GSE65904) were used as an external test set. The prognostic gene biomarker was developed and validated based on the above three sets. The developed gene biomarker combined with clinical characteristics was used as variables to develop and validate a nomogram predictive model based on 379 patients with comple

SUBMITTER: Zhang C 

PROVIDER: S-EPMC8047639 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature