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A four-DNA methylation biomarker is a superior predictor of survival of patients with cutaneous melanoma
by
Guo, Wenna
, Zhu, Liucun
, Wang, Qiang
, Chen, Jian-Qun
, Chen, Qihan
, Zhu, Rui
in
Adolescent
/ Adult
/ Aged
/ Aged, 80 and over
/ Biological markers
/ Biomarkers
/ Biomarkers, Tumor - genetics
/ Cancer
/ Cancer Biology
/ Cancer therapies
/ cutaneous melanoma
/ Deoxyribonucleic acid
/ DNA
/ DNA methylation
/ DNA Methylation - genetics
/ DNA sequencing
/ Female
/ Gene expression
/ Gene Expression Regulation, Neoplastic
/ Genetic aspects
/ Genomes
/ Genomics
/ Health aspects
/ Humans
/ Immune checkpoint
/ immune-checkpoint blockade
/ Immunotherapy
/ Kaplan-Meier Estimate
/ Life sciences
/ Lymphatic system
/ Male
/ Medical prognosis
/ Melanoma
/ Melanoma - epidemiology
/ Melanoma - genetics
/ Melanoma - pathology
/ Melanoma, Cutaneous Malignant
/ Metastasis
/ Methods
/ Methylation
/ Middle Aged
/ Patients
/ Prognosis
/ prognostic biomarker
/ Proportional Hazards Models
/ risk stratification
/ Skin
/ Skin cancer
/ Skin Neoplasms - epidemiology
/ Skin Neoplasms - genetics
/ Skin Neoplasms - pathology
/ Survival
/ Transcriptome - genetics
/ Young Adult
2019
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A four-DNA methylation biomarker is a superior predictor of survival of patients with cutaneous melanoma
by
Guo, Wenna
, Zhu, Liucun
, Wang, Qiang
, Chen, Jian-Qun
, Chen, Qihan
, Zhu, Rui
in
Adolescent
/ Adult
/ Aged
/ Aged, 80 and over
/ Biological markers
/ Biomarkers
/ Biomarkers, Tumor - genetics
/ Cancer
/ Cancer Biology
/ Cancer therapies
/ cutaneous melanoma
/ Deoxyribonucleic acid
/ DNA
/ DNA methylation
/ DNA Methylation - genetics
/ DNA sequencing
/ Female
/ Gene expression
/ Gene Expression Regulation, Neoplastic
/ Genetic aspects
/ Genomes
/ Genomics
/ Health aspects
/ Humans
/ Immune checkpoint
/ immune-checkpoint blockade
/ Immunotherapy
/ Kaplan-Meier Estimate
/ Life sciences
/ Lymphatic system
/ Male
/ Medical prognosis
/ Melanoma
/ Melanoma - epidemiology
/ Melanoma - genetics
/ Melanoma - pathology
/ Melanoma, Cutaneous Malignant
/ Metastasis
/ Methods
/ Methylation
/ Middle Aged
/ Patients
/ Prognosis
/ prognostic biomarker
/ Proportional Hazards Models
/ risk stratification
/ Skin
/ Skin cancer
/ Skin Neoplasms - epidemiology
/ Skin Neoplasms - genetics
/ Skin Neoplasms - pathology
/ Survival
/ Transcriptome - genetics
/ Young Adult
2019
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A four-DNA methylation biomarker is a superior predictor of survival of patients with cutaneous melanoma
by
Guo, Wenna
, Zhu, Liucun
, Wang, Qiang
, Chen, Jian-Qun
, Chen, Qihan
, Zhu, Rui
in
Adolescent
/ Adult
/ Aged
/ Aged, 80 and over
/ Biological markers
/ Biomarkers
/ Biomarkers, Tumor - genetics
/ Cancer
/ Cancer Biology
/ Cancer therapies
/ cutaneous melanoma
/ Deoxyribonucleic acid
/ DNA
/ DNA methylation
/ DNA Methylation - genetics
/ DNA sequencing
/ Female
/ Gene expression
/ Gene Expression Regulation, Neoplastic
/ Genetic aspects
/ Genomes
/ Genomics
/ Health aspects
/ Humans
/ Immune checkpoint
/ immune-checkpoint blockade
/ Immunotherapy
/ Kaplan-Meier Estimate
/ Life sciences
/ Lymphatic system
/ Male
/ Medical prognosis
/ Melanoma
/ Melanoma - epidemiology
/ Melanoma - genetics
/ Melanoma - pathology
/ Melanoma, Cutaneous Malignant
/ Metastasis
/ Methods
/ Methylation
/ Middle Aged
/ Patients
/ Prognosis
/ prognostic biomarker
/ Proportional Hazards Models
/ risk stratification
/ Skin
/ Skin cancer
/ Skin Neoplasms - epidemiology
/ Skin Neoplasms - genetics
/ Skin Neoplasms - pathology
/ Survival
/ Transcriptome - genetics
/ Young Adult
2019
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A four-DNA methylation biomarker is a superior predictor of survival of patients with cutaneous melanoma
Journal Article
A four-DNA methylation biomarker is a superior predictor of survival of patients with cutaneous melanoma
2019
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Overview
Cutaneous melanoma (CM) is a life-threatening form of skin cancer. Prognostic biomarkers can reliably stratify patients at initial melanoma diagnosis according to risk, and may inform clinical decisions. Here, we performed a retrospective, cohort-based study analyzing genome-wide DNA methylation of 461 patients with CM from the TCGA database. Cox regression analyses were conducted to establish a four-DNA methylation signature that was significantly associated with the overall survival (OS) of patients with CM, and that was validated in an independent cohort. Corresponding Kaplan–Meier analysis displayed a distinct separation in OS. The ROC analysis confirmed that the predictive signature performed well. Notably, this signature exhibited much higher predictive accuracy in comparison with known biomarkers. This signature was significantly correlated with immune checkpoint blockade (ICB) immunotherapy-related signatures, and may have potential as a guide for measures of responsiveness to ICB immunotherapy.
Publisher
eLife Science Publications, Ltd,eLife Sciences Publications Ltd,eLife Sciences Publications, Ltd
Subject
/ Adult
/ Aged
/ Biomarkers, Tumor - genetics
/ Cancer
/ DNA
/ Female
/ Gene Expression Regulation, Neoplastic
/ Genomes
/ Genomics
/ Humans
/ Male
/ Melanoma
/ Melanoma, Cutaneous Malignant
/ Methods
/ Patients
/ Skin
/ Skin Neoplasms - epidemiology
/ Survival
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