Machine learning algorithm-generated and multi-center validated melanoma prognostic signature with inspiration for treatment management-Reference-Cited by-同舟云学术

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Machine learning algorithm-generated and multi-center validated melanoma prognostic signature with inspiration for treatment management

Published:2022-08-23 Issue:3 Volume:72 Page:599-615
ISSN:0340-7004
Container-title:Cancer Immunology, Immunotherapy
language:en
Short-container-title:Cancer Immunol Immunother

Author:

Liu Zaoqu,Xu Hui,Weng Siyuan,Guo Chunguang,Dang Qin,Zhang Yuyuan,Ren Yuqing,Liu Long,Wang Libo,Ge Xiaoyong,Xing Zhe,Zhang Jian,Luo Peng,Han Xinwei

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology,Immunology,Immunology and Allergy

Link

https://link.springer.com/content/pdf/10.1007/s00262-022-03279-1.pdf

Reference41 articles.

1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F (2021) Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 Countries. CA Cancer J Clin 71:209–249. https://doi.org/10.3322/caac.21660

2. Gershenwald Jeffrey E, Scolyer Richard A, Hess Kenneth R (2017) Melanoma staging: Evidence-based changes in the American Joint committee on cancer eighth edition cancer staging manual: melanoma staging: AJCC 8th Edition. CA: A Cancer J Clin 67(6):472–492. https://doi.org/10.3322/caac.21409

3. Garg M, Couturier DL, Nsengimana J et al (2021) Tumour gene expression signature in primary melanoma predicts long-term outcomes. Nat Commun 12:1137. https://doi.org/10.1038/s41467-021-21207-2

4. Keung EZ, Gershenwald JE (2020) Clinicopathological features, staging, and current approaches to treatment in high-risk resectable melanoma. J Natl Cancer Inst 112:875–885. https://doi.org/10.1093/jnci/djaa012

5. Whiteman DC, Green AC, Olsen CM (2016) The Growing Burden of Invasive Melanoma: projections of incidence rates and numbers of new cases in six susceptible populations through 2031. J Invest Dermatol 136:1161–1171. https://doi.org/10.1016/j.jid.2016.01.035

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