Literature DB >> 30466690

Updates in Melanoma.

Elisabeth Hamelin Tracey1, Alok Vij2.   

Abstract

Skin cancer is reaching epidemic levels in the United States. Recent advances in the understanding of the pathophysiology of melanoma have allowed improved risk stratification in the revised American Joint Committee on Cancer (AJCC) criteria, new tests to capture patients at higher risk than their stage may indicate, and new treatments to offer hope and cures to patients with advanced disease.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Gene expression profiling; Immunotherapy; Melanoma; Melanoma staging; Skin cancer; Targeted therapy for melanoma

Mesh：

Substances：

Year:  2019        PMID： 30466690     DOI： 10.1016/j.det.2018.08.003

Source DB:  PubMed          Journal:  Dermatol Clin        ISSN： 0733-8635            Impact factor:   3.478


  9 in total

1.  Comprehensive Analysis of a Competing Endogenous RNA Network Identifies Seven-lncRNA Signature as a Prognostic Biomarker for Melanoma.

Authors:  Nian Liu; Zijian Liu; Xinxin Liu; Hongxiang Chen
Journal:  Front Oncol       Date:  2019-10-03       Impact factor: 6.244

2.  Melanoma Following In Vitro Fertilization: Co-incident or Coincidence?

Authors:  Philip R Cohen; Christof P Erickson; Brooke R Sateesh; Nathan S Uebelhoer; Antoanella Calame
Journal:  Cureus       Date:  2019-06-07

3.  Cutaneous melanoma: cost of illness under Brazilian health system perspectives.

Authors:  Cassia Rita Pereira da Veiga; Claudimar Pereira da Veiga; Alceu Souza; Alberto Julius Alves Wainstein; Andreia Cristina de Melo; Ana Paula Drummond-Lage
Journal:  BMC Health Serv Res       Date:  2021-03-29       Impact factor: 2.655

4.  M6A-Related Bioinformatics Analysis Reveals a New Prognostic Risk Signature in Cutaneous Malignant Melanoma.

Authors:  Qingxiong Yu; Hainan Zhu; Huijing Wang; Rehanguli Aimaier; Manhon Chung; Zhichao Wang; Qingfeng Li
Journal:  Dis Markers       Date:  2022-06-06       Impact factor: 3.464

5.  Predicting the Risk of Melanoma Metastasis Using an Immune Risk Score in the Melanoma Cohort.

Authors:  Yang Sheng; Cheng Yanping; Liu Tong; Liu Ning; Liu Yufeng; Liang Geyu
Journal:  Front Bioeng Biotechnol       Date:  2020-03-31

6.  Curcumol inhibits the proliferation and metastasis of melanoma via the miR-152-3p/PI3K/AKT and ERK/NF-κB signaling pathways.

Authors:  Ning Ning; Sulai Liu; Xiehong Liu; Zeyu Tian; Yu Jiang; Nanhui Yu; Boyu Tan; Hao Feng; Xing Feng; Lianhong Zou
Journal:  J Cancer       Date:  2020-01-14       Impact factor: 4.207

7.  Bioinformatics Analysis Identifies MicroRNAs and Target Genes Associated with Prognosis in Patients with Melanoma.

Authors:  Qiao Li; Li-Yu Zhang; Shuang Wu; Chen Huang; Juan Liu; Ping Wang; Yuan Cao
Journal:  Med Sci Monit       Date:  2019-10-17

8.  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

9.  Tre2-Bub2-Cdc16 Family Proteins Based Nomogram Serve as a Promising Prognosis Predicting Model for Melanoma.

Authors:  Ling Tang; Cong Peng; Su-Si Zhu; Zhe Zhou; Han Liu; Quan Cheng; Xiang Chen; Xiao-Ping Chen
Journal:  Front Oncol       Date:  2020-10-28       Impact factor: 6.244
  9 in total

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