Unknown

Dataset Information

0

A Novel Signature of 23 Immunity-Related Gene Pairs Is Prognostic of Cutaneous Melanoma.


ABSTRACT: In this study, we aimed to identify an immune-related signature for predicting prognosis in cutaneous melanoma (CM). Sample data from The Cancer Genome Atlas (TCGA; n = 460) were used to develop a prognostic signature with 23 immune-related gene pairs (23 IRGPs) for CM. Patients were divided into high- and low-risk groups using the TCGA and validation datasets GSE65904 (n = 214), GSE59455 (n = 141), and GSE22153 (n = 79). The ability of the 23-IRGP signature to predict CM was precise, with the stratified high-risk groups showing a poor prognosis, and it had a significant predictive power when used for immune microenvironment and biological analyses. We subsequently established a novel promising prognostic model in CM to determine the association between the immune microenvironment and CM patient results. This approach may be used to discover signatures in other diseases while avoiding the technical biases associated with other platforms.

SUBMITTER: Xue YN 

PROVIDER: S-EPMC7604355 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

altmetric image

Publications

A Novel Signature of 23 Immunity-Related Gene Pairs Is Prognostic of Cutaneous Melanoma.

Xue Ya-Nan YN   Xue Yi-Nan YN   Wang Zheng-Cai ZC   Mo Yong-Zhen YZ   Wang Pin-Yan PY   Tan Wei-Qiang WQ  

Frontiers in immunology 20201019


In this study, we aimed to identify an immune-related signature for predicting prognosis in cutaneous melanoma (CM). Sample data from The Cancer Genome Atlas (TCGA; n = 460) were used to develop a prognostic signature with 23 immune-related gene pairs (23 IRGPs) for CM. Patients were divided into high- and low-risk groups using the TCGA and validation datasets GSE65904 (n = 214), GSE59455 (n = 141), and GSE22153 (n = 79). The ability of the 23-IRGP signature to predict CM was precise, with the s  ...[more]

Similar Datasets

| S-EPMC7509113 | biostudies-literature
| S-EPMC9701680 | biostudies-literature
| S-EPMC9358033 | biostudies-literature
| S-EPMC9309482 | biostudies-literature
| S-EPMC9834281 | biostudies-literature
| S-EPMC8373953 | biostudies-literature
| S-EPMC10839877 | biostudies-literature
| S-EPMC9201746 | biostudies-literature
| S-EPMC7544036 | biostudies-literature
| S-EPMC8785661 | biostudies-literature