Advances in melanoma: epidemiology, diagnosis, and prognosis
Unraveling the multidimensional complexities of melanoma has required concerted efforts by dedicated community of researchers and clinicians battling against this deadly form of skin cancer. Remarkable advances have been made in the realm of epidemiology, classification, diagnosis, and therapy of me...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-11-01
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| Series: | Frontiers in Medicine |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2023.1268479/full |
| _version_ | 1797488806488702976 |
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| author | Shayan Waseh Jason B. Lee |
| author_facet | Shayan Waseh Jason B. Lee |
| author_sort | Shayan Waseh |
| collection | DOAJ |
| description | Unraveling the multidimensional complexities of melanoma has required concerted efforts by dedicated community of researchers and clinicians battling against this deadly form of skin cancer. Remarkable advances have been made in the realm of epidemiology, classification, diagnosis, and therapy of melanoma. The treatment of advanced melanomas has entered the golden era as targeted personalized therapies have emerged that have significantly altered the mortality rate. A paradigm shift in the approach to melanoma classification, diagnosis, prognosis, and staging is underway, fueled by discoveries of genetic alterations in melanocytic neoplasms. A morphologic clinicopathologic classification of melanoma is expected to be replaced by a more precise molecular based one. As validated, convenient, and cost-effective molecular-based tests emerge, molecular diagnostics will play a greater role in the clinical and histologic diagnosis of melanoma. Artificial intelligence augmented clinical and histologic diagnosis of melanoma is expected to make the process more streamlined and efficient. A more accurate model of prognosis and staging of melanoma is emerging based on molecular understanding melanoma. This contribution summarizes the recent advances in melanoma epidemiology, classification, diagnosis, and prognosis. |
| first_indexed | 2024-03-10T00:08:27Z |
| format | Article |
| id | doaj.art-bfe26890907c4003951ed32f71a825cc |
| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-03-10T00:08:27Z |
| publishDate | 2023-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj.art-bfe26890907c4003951ed32f71a825cc2023-11-23T16:05:22ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2023-11-011010.3389/fmed.2023.12684791268479Advances in melanoma: epidemiology, diagnosis, and prognosisShayan Waseh0Jason B. Lee1Department of Dermatology, Temple University Hospital, Philadelphia, PA, United StatesDepartment of Dermatology, Thomas Jefferson University, Philadelphia, PA, United StatesUnraveling the multidimensional complexities of melanoma has required concerted efforts by dedicated community of researchers and clinicians battling against this deadly form of skin cancer. Remarkable advances have been made in the realm of epidemiology, classification, diagnosis, and therapy of melanoma. The treatment of advanced melanomas has entered the golden era as targeted personalized therapies have emerged that have significantly altered the mortality rate. A paradigm shift in the approach to melanoma classification, diagnosis, prognosis, and staging is underway, fueled by discoveries of genetic alterations in melanocytic neoplasms. A morphologic clinicopathologic classification of melanoma is expected to be replaced by a more precise molecular based one. As validated, convenient, and cost-effective molecular-based tests emerge, molecular diagnostics will play a greater role in the clinical and histologic diagnosis of melanoma. Artificial intelligence augmented clinical and histologic diagnosis of melanoma is expected to make the process more streamlined and efficient. A more accurate model of prognosis and staging of melanoma is emerging based on molecular understanding melanoma. This contribution summarizes the recent advances in melanoma epidemiology, classification, diagnosis, and prognosis.https://www.frontiersin.org/articles/10.3389/fmed.2023.1268479/fullmelanomamelanoma epidemiologymelanoma genomicsmelanoma diagnosismelanoma classification |
| spellingShingle | Shayan Waseh Jason B. Lee Advances in melanoma: epidemiology, diagnosis, and prognosis Frontiers in Medicine melanoma melanoma epidemiology melanoma genomics melanoma diagnosis melanoma classification |
| title | Advances in melanoma: epidemiology, diagnosis, and prognosis |
| title_full | Advances in melanoma: epidemiology, diagnosis, and prognosis |
| title_fullStr | Advances in melanoma: epidemiology, diagnosis, and prognosis |
| title_full_unstemmed | Advances in melanoma: epidemiology, diagnosis, and prognosis |
| title_short | Advances in melanoma: epidemiology, diagnosis, and prognosis |
| title_sort | advances in melanoma epidemiology diagnosis and prognosis |
| topic | melanoma melanoma epidemiology melanoma genomics melanoma diagnosis melanoma classification |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2023.1268479/full |
| work_keys_str_mv | AT shayanwaseh advancesinmelanomaepidemiologydiagnosisandprognosis AT jasonblee advancesinmelanomaepidemiologydiagnosisandprognosis |