Research Paper Volume 14, Issue 3 pp 1529—1548
Construction and validation of a prognostic risk model of angiogenesis factors in skin cutaneous melanoma
- 1 Department of Burn and Plastic Surgery, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, China
- 2 Department of Clinical Laboratory, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, China
- 3 Oncology Department, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, China
- 4 Office of Medical Ethics, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, China
Received: October 12, 2021 Accepted: February 8, 2022 Published: February 14, 2022https://doi.org/10.18632/aging.203895
How to Cite
Copyright: © 2022 Zou et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Melanoma can secrete tumor angiogenesis factors, which is the essential factor for tumor growth and metastasis. However, there are few reports on the relationship between angiogenesis factors and prognosis risk in melanoma. This study aimed to develop a prognostic risk model of angiogenesis for melanoma. Forty-nine differentially expressed angiogenesis were identified from the TCGA database, which were mainly involved in PI3K/Akt pathway, focal adhesion, and MAPK signaling pathway. We then establish an eleven-gene signature. The model indicated a strong prognostic capability in both the discovery cohort and the validation cohort. Patients of smaller height (<170 cm) and lower weight (<80 kg) and those with advanced-stage and ulcerated melanoma had higher risk scores. The risk score was positively correlated with mutation load, homologous recombination defect, neoantigen load and chromosome instability. In addition, the high-risk group had a higher degree of immune cell infiltration, better response to immunotherapy and lower immune score. Therefore, these results indicate that the risk model is an effective method to predict the prognosis of melanoma.