Irene Soler-Sáez, Alcida Karz, Marta R Hidalgo, Borja Gómez-Cabañes, Adolfo López-Cerdán, José F Català-Senent, Kylie Prutisto-Chang, Nicole M Eskow, Benjamin Izar, Torben Redmer, Swaminathan Kumar, Michael A Davies, María de la Iglesia-Vayá, Eva Hernando, Francisco García-García
{"title":"Unveiling Common Transcriptomic Features between Melanoma Brain Metastases and Neurodegenerative Diseases.","authors":"Irene Soler-Sáez, Alcida Karz, Marta R Hidalgo, Borja Gómez-Cabañes, Adolfo López-Cerdán, José F Català-Senent, Kylie Prutisto-Chang, Nicole M Eskow, Benjamin Izar, Torben Redmer, Swaminathan Kumar, Michael A Davies, María de la Iglesia-Vayá, Eva Hernando, Francisco García-García","doi":"10.1016/j.jid.2024.09.005","DOIUrl":null,"url":null,"abstract":"<p><p>Melanoma represents a critical clinical challenge owing to its unfavorable outcomes. This type of skin cancer exhibits unique adaptability to the brain microenvironment, but its underlying molecular mechanisms are poorly understood. Recent findings have suggested that melanoma brain metastases may share biological processes similar to those found in various neurodegenerative diseases. To further characterize melanoma brain metastasis development, we explore the relationship between the transcriptional profiles of melanoma brain metastases and the neurodegenerative diseases Alzheimer's disease, Parkinson's disease, and multiple sclerosis. We take an in silico approach to unveil a neurodegenerative signature of melanoma brain metastases compared with those of melanoma nonbrain metastasis (53 dysregulated genes were enriched in 11 functional terms, such as associated terms to the extracellular matrix and development) and with those of nontumor-bearing brain controls (195 dysregulated genes, mostly involved in development and cell differentiation, chromatin remodeling and nucleosome organization, and translation). Two genes, ITGA10 and DNAJC6, emerged as key potential markers being dysregulated in both scenarios. Finally, we developed an open-source, user-friendly web tool (https://bioinfo.cipf.es/metafun-mbm/) that allows interactive exploration of the complete results.</p>","PeriodicalId":94239,"journal":{"name":"The Journal of investigative dermatology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of investigative dermatology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.jid.2024.09.005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Melanoma represents a critical clinical challenge owing to its unfavorable outcomes. This type of skin cancer exhibits unique adaptability to the brain microenvironment, but its underlying molecular mechanisms are poorly understood. Recent findings have suggested that melanoma brain metastases may share biological processes similar to those found in various neurodegenerative diseases. To further characterize melanoma brain metastasis development, we explore the relationship between the transcriptional profiles of melanoma brain metastases and the neurodegenerative diseases Alzheimer's disease, Parkinson's disease, and multiple sclerosis. We take an in silico approach to unveil a neurodegenerative signature of melanoma brain metastases compared with those of melanoma nonbrain metastasis (53 dysregulated genes were enriched in 11 functional terms, such as associated terms to the extracellular matrix and development) and with those of nontumor-bearing brain controls (195 dysregulated genes, mostly involved in development and cell differentiation, chromatin remodeling and nucleosome organization, and translation). Two genes, ITGA10 and DNAJC6, emerged as key potential markers being dysregulated in both scenarios. Finally, we developed an open-source, user-friendly web tool (https://bioinfo.cipf.es/metafun-mbm/) that allows interactive exploration of the complete results.