Identification of two molecularly and prognostically distinct subtypes in acral melanoma using network prediction method
Our findings significantly enhance the understanding of the molecular landscape of acral melanoma and offer novel insights into its clinical management by identifying distinct subtypes and potential therapeutic targets. The findings have to be confirmed in different cohorts in the future for full validation.
Authors
- Wenhua Wang
- Mingzhu Yin (ORCID: https://orcid.org/0000-0002-6964-7131)
- Shuang Zhao (ORCID: https://orcid.org/0000-0001-7081-6177)
- Yiding Zhang (ORCID: https://orcid.org/0000-0001-9833-1729)
- Shao Li (ORCID: https://orcid.org/0000-0002-8709-9167)
- Xiang Chen (ORCID: https://orcid.org/0000-0001-8187-636X)
- Juan Su (ORCID: https://orcid.org/0000-0001-7035-2560)
Institutions
- Central South University (CN)
- Chongqing University (CN)
- Hunan Cancer Hospital (CN)
- Xiangya Hospital Central South University (CN)
- Chongqing Three Gorges University (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Journal of the European Academy of Dermatology and Venereology
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1111/jdv.20335
- Citations
- 2
- Primary Topic
- Cutaneous Melanoma Detection and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.57
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China