Literature DB >> 30195813

Multidisciplinary treatment strategies in high-risk resectable melanoma: Role of adjuvant and neoadjuvant therapy.

Meredith A McKean1, Rodabe N Amaria2.   

Abstract

Stage III melanoma encompasses a range of disease burdens, including microscopic foci of metastatic melanoma in a sentinel lymph node; bulky, clinically detected lymphadenopathy; and in-transit dermal metastases. After initial surgical management, patients with stage III melanoma at highest risk for recurrence are most likely to benefit from adjuvant therapy. Novel therapies that have improved the disease response rates and long-term survival of patients with advanced or metastatic melanoma have now been evaluated in the adjuvant setting, with the goal of eliminating residual microscopic disease to improve relapse-free and overall survival. Alternatively, implementing systemic therapies in the neoadjuvant setting for bulky, clinically detected disease can potentially limit surgical morbidity and improve understanding of an individual's response to applied therapy. With multiple therapeutic approaches currently under evaluation for adjuvant and neoadjuvant treatment of high-risk melanoma, establishing optimal treatment regimens, appropriate clinical endpoints, and treatment risk-benefit profiles has become increasingly challenging. There is also a critical need to identify and validate biomarkers predictive of melanoma patient outcomes or treatment efficacy. This article provides an overview of current clinical evidence and ongoing trials of targeted therapy and immunotherapy in this rapidly evolving area of oncology.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Adjuvant; Immunotherapy; Melanoma; Neoadjuvant; Targeted therapy

Mesh:

Year:  2018        PMID: 30195813     DOI: 10.1016/j.ctrv.2018.08.011

Source DB:  PubMed          Journal:  Cancer Treat Rev        ISSN: 0305-7372            Impact factor:   12.111


  7 in total

1.  Potential use of kiwifruit extract for treatment of melanoma.

Authors:  Leon Kou; Ziwen Zhu; Chase Redington; Qian Bai; Mark Wakefield; Marco Lequio; Yujiang Fang
Journal:  Med Oncol       Date:  2021-02-14       Impact factor: 3.064

2.  Synergistic antitumor effect of a penicillin derivative combined with thapsigargin in melanoma cells.

Authors:  Yanina Bellizzi; Patricia G Cornier; Carina M L Delpiccolo; Ernesto G Mata; Viviana Blank; Leonor P Roguin
Journal:  J Cancer Res Clin Oncol       Date:  2022-06-25       Impact factor: 4.322

3.  ASO Author Reflections: Hematological Biomarkers of Survival in Cutaneous Melanoma.

Authors:  Alyss V Robinson; Howard Peach; Ryckie G Wade
Journal:  Ann Surg Oncol       Date:  2018-10-15       Impact factor: 5.344

Review 4.  Holistic view of patients with melanoma of the skin: how can health systems create value and achieve better clinical outcomes?

Authors:  Patrícia Redondo; Matilde Ribeiro; Machado Lopes; Marina Borges; Francisco Rocha Gonçalves
Journal:  Ecancermedicalscience       Date:  2019-08-27

5.  Machine Learning Analysis of Immune Cells for Diagnosis and Prognosis of Cutaneous Melanoma.

Authors:  Huibin Du; Yan He; Wei Lu; Yu Han; Qi Wan
Journal:  J Oncol       Date:  2022-01-27       Impact factor: 4.375

6.  Mapping the single-cell landscape of acral melanoma and analysis of the molecular regulatory network of the tumor microenvironments.

Authors:  Zan He; Zijuan Xin; Qiong Yang; Chen Wang; Meng Li; Wei Rao; Zhimin Du; Jia Bai; Zixuan Guo; Xiuyan Ruan; Zhaojun Zhang; Xiangdong Fang; Hua Zhao
Journal:  Elife       Date:  2022-07-27       Impact factor: 8.713

7.  Immune Microenvironment Related Competitive Endogenous RNA Network as Powerful Predictors for Melanoma Prognosis Based on WGCNA Analysis.

Authors:  Yaqi Cheng; Chengxiu Liu; Yurun Liu; Yaru Su; Shoubi Wang; Lin Jin; Qi Wan; Ying Liu; Chaoyang Li; Xuan Sang; Liu Yang; Chang Liu; Xiaoran Wang; Zhichong Wang
Journal:  Front Oncol       Date:  2020-10-27       Impact factor: 6.244

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.