Molecular Classifiers in Skin Cancers: Challenges and Promises

Skin cancers are common and heterogenous malignancies affecting up to two in three Australians before age 70. Despite recent developments in diagnosis and therapeutic strategies, the mortality rate and costs associated with managing patients with skin cancers remain high. The lack of well-defined cl...

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Main Authors: Ali Azimi, Pablo Fernandez-Peñas
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/15/18/4463
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author Ali Azimi
Pablo Fernandez-Peñas
author_facet Ali Azimi
Pablo Fernandez-Peñas
author_sort Ali Azimi
collection DOAJ
description Skin cancers are common and heterogenous malignancies affecting up to two in three Australians before age 70. Despite recent developments in diagnosis and therapeutic strategies, the mortality rate and costs associated with managing patients with skin cancers remain high. The lack of well-defined clinical and histopathological features makes their diagnosis and classification difficult in some cases and the prognostication difficult in most skin cancers. Recent advancements in large-scale “omics” studies, including genomics, transcriptomics, proteomics, metabolomics and imaging-omics, have provided invaluable information about the molecular and visual landscape of skin cancers. On many occasions, it has refined tumor classification and has improved prognostication and therapeutic stratification, leading to improved patient outcomes. Therefore, this paper reviews the recent advancements in omics approaches and appraises their limitations and potential for better classification and stratification of skin cancers.
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spelling doaj.art-838f741ffaf44df396671a6f3d27cc292023-11-19T09:54:09ZengMDPI AGCancers2072-66942023-09-011518446310.3390/cancers15184463Molecular Classifiers in Skin Cancers: Challenges and PromisesAli Azimi0Pablo Fernandez-Peñas1Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Westmead, NSW 2145, AustraliaWestmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Westmead, NSW 2145, AustraliaSkin cancers are common and heterogenous malignancies affecting up to two in three Australians before age 70. Despite recent developments in diagnosis and therapeutic strategies, the mortality rate and costs associated with managing patients with skin cancers remain high. The lack of well-defined clinical and histopathological features makes their diagnosis and classification difficult in some cases and the prognostication difficult in most skin cancers. Recent advancements in large-scale “omics” studies, including genomics, transcriptomics, proteomics, metabolomics and imaging-omics, have provided invaluable information about the molecular and visual landscape of skin cancers. On many occasions, it has refined tumor classification and has improved prognostication and therapeutic stratification, leading to improved patient outcomes. Therefore, this paper reviews the recent advancements in omics approaches and appraises their limitations and potential for better classification and stratification of skin cancers.https://www.mdpi.com/2072-6694/15/18/4463skin cancermolecular classifiermelanomabasal cell carcinomacutaneous squamous-cell carcinoma
spellingShingle Ali Azimi
Pablo Fernandez-Peñas
Molecular Classifiers in Skin Cancers: Challenges and Promises
Cancers
skin cancer
molecular classifier
melanoma
basal cell carcinoma
cutaneous squamous-cell carcinoma
title Molecular Classifiers in Skin Cancers: Challenges and Promises
title_full Molecular Classifiers in Skin Cancers: Challenges and Promises
title_fullStr Molecular Classifiers in Skin Cancers: Challenges and Promises
title_full_unstemmed Molecular Classifiers in Skin Cancers: Challenges and Promises
title_short Molecular Classifiers in Skin Cancers: Challenges and Promises
title_sort molecular classifiers in skin cancers challenges and promises
topic skin cancer
molecular classifier
melanoma
basal cell carcinoma
cutaneous squamous-cell carcinoma
url https://www.mdpi.com/2072-6694/15/18/4463
work_keys_str_mv AT aliazimi molecularclassifiersinskincancerschallengesandpromises
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