Recent advances in next-generation sequencing (NGS) technology are revolutionizing approaches to genomic and epigenomic studies of the skin. Deep sequencing of cutaneous malignancies revealed mutagenized genomes with a large number of low-prevalence pathogenic variants and multiple resistance mechanisms to targeted therapies. Likewise, a predominant role of epigenetic regulators in the pathogenic scenario of several melanoma and non-melanoma skin cancers has been demonstrated.
This Research Topic aims to discuss novel evidence and summarize existing data on the genetics and epigenetics of both melanoma and non-melanoma skin cancers, including the genetic/epigenetic impact on treatment of these cutaneous disorders, pharmacogenomics and implementation of genetic/epigenetic diagnostics in clinical practice.
We encourage researchers to use single-cell, high-throughput omics and other new technologies to explore molecular mechanisms underlying these diseases and other models to explore new targets for promising therapeutic management.
Submissions of the following types of prospective articles are welcomed: Original Research, Reviews, Systematic Reviews, Protocols, Perspectives, and Opinions.
The topics of interest will comprise of (but will not be limited to) the following:
1. Diagnostic yield of next-generation sequencing in patients with melanoma and non-melanoma skin cancer.
2. Identification of novel genes/pathogenic variants involved in these skin disorders including exome/whole genome sequencing and single nucleotide peptide (SNP)-based approaches.
3. Implementation of genetic tools in clinical dermatological practice
4. State of art and novel insights into the epigenetic landscape underlying melanoma and non-melanoma skin cancers.
5. Artificial intelligence, machine and deep learning approaches for skin cancer detection.
Bioinformatic studies are welcome, however, these should not be based solely on analysis of publicly available datasets such as TCGA. It is essential to have an independent validation cohort for statistically significant confirmation of the findings communicated.
Keywords:
Genetics, DNA sequencing, Next-generation sequencing, Genome-wide association study, Epigenetics, Melanoma skin cancer, Non-melanoma skin cancer, Health outcomes, Precision medicine, Molecular Dynamics, drug discovery, Artificial Intelligence
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Recent advances in next-generation sequencing (NGS) technology are revolutionizing approaches to genomic and epigenomic studies of the skin. Deep sequencing of cutaneous malignancies revealed mutagenized genomes with a large number of low-prevalence pathogenic variants and multiple resistance mechanisms to targeted therapies. Likewise, a predominant role of epigenetic regulators in the pathogenic scenario of several melanoma and non-melanoma skin cancers has been demonstrated.
This Research Topic aims to discuss novel evidence and summarize existing data on the genetics and epigenetics of both melanoma and non-melanoma skin cancers, including the genetic/epigenetic impact on treatment of these cutaneous disorders, pharmacogenomics and implementation of genetic/epigenetic diagnostics in clinical practice.
We encourage researchers to use single-cell, high-throughput omics and other new technologies to explore molecular mechanisms underlying these diseases and other models to explore new targets for promising therapeutic management.
Submissions of the following types of prospective articles are welcomed: Original Research, Reviews, Systematic Reviews, Protocols, Perspectives, and Opinions.
The topics of interest will comprise of (but will not be limited to) the following:
1. Diagnostic yield of next-generation sequencing in patients with melanoma and non-melanoma skin cancer.
2. Identification of novel genes/pathogenic variants involved in these skin disorders including exome/whole genome sequencing and single nucleotide peptide (SNP)-based approaches.
3. Implementation of genetic tools in clinical dermatological practice
4. State of art and novel insights into the epigenetic landscape underlying melanoma and non-melanoma skin cancers.
5. Artificial intelligence, machine and deep learning approaches for skin cancer detection.
Bioinformatic studies are welcome, however, these should not be based solely on analysis of publicly available datasets such as TCGA. It is essential to have an independent validation cohort for statistically significant confirmation of the findings communicated.
Keywords:
Genetics, DNA sequencing, Next-generation sequencing, Genome-wide association study, Epigenetics, Melanoma skin cancer, Non-melanoma skin cancer, Health outcomes, Precision medicine, Molecular Dynamics, drug discovery, Artificial Intelligence
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.