Integrated genomic analysis identifies a genetic mutation model predicting response to immune checkpoint inhibitors in melanoma.

doi:10.1002/cam4.3481

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Article

Integrated genomic analysis identifies a genetic mutation model predicting response to immune checkpoint inhibitors in melanoma.

Cancer medicine - 1 Nov 2020

Jiang Junjie, Ding Yongfeng, Wu Mengjie, Chen Yanyan, Lyu Xiadong, Lu Jun, Wang Haiyong, Teng Lisong

Abstract excerpt

Several biomarkers such as tumor mutation burden (TMB), neoantigen load (NAL), programmed cell-death receptor 1 ligand (PD-L1) expression, and lactate dehydrogenase (LDH) have been developed for predicting response to immune checkpoint inhibitors (ICIs) in melanoma. However, some limitations including the undefined cut-off value, poor uniformity of test platform, and weak reliability of prediction have restricted...

Topics

Adolescent
Adult
Aged
Aged, 80 and over
Biomarkers, Tumor
DNA Mutational Analysis
Decision Support Techniques
Female
Humans
Immune Checkpoint Inhibitors
Immunogenetic Phenomena

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Male

Melanoma

Middle Aged

Models, Genetic

Mutation

Predictive Value of Tests

Progression-Free Survival

Source

Open in PubMed Open full text

Identifiers

PMID: 32969604
DOI: 10.1002/cam4.3481
PMCID: PMC7666739

Genes

NF1
SERPINB3

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 31 Aug 2026.

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