高级检索
当前位置: 首页 > 详情页

Potential predictive value of SCN4A mutation status for immune checkpoint inhibitors in melanoma.

文献详情

资源类型:
WOS体系:
Pubmed体系:

收录情况: ◇ SCIE

机构: [1]Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, People’s Republic of China [2]Central Sterile Supply Department, Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangzhou, Guangdong, People’s Republic of [3]Department of Information, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, People’s Republic of China [4]Guangdong Fusion Application Engineering Center of Medical Big Data, Guangzhou, Guangdong, People’s Republic of China
出处:
ISSN:

关键词: SCN4A TMB DDR Melanoma Immune checkpoint inhibitor

摘要:
Melanoma refers to a pigmented nevus with malignant changes. The preferred treatment for primary melanoma is surgical excision and postoperative radiotherapy, but the prognosis is poor. Immune checkpoint inhibitors (ICIs) have been remarkably successful in different types of cancers, but not all cancer patients can benefit from it. Therefore, it is essential to find predictable biomarkers and improve the accuracy of treatment. In this study, we used survival analysis, gene panorama analysis, immune cell enrichment analysis, TMB analysis, and GSEA to demonstrate that SCN4A gene mutations may be used as one of the indicators to predict the prognosis of melanoma patients undergoing ICI treatment. The research further indicates that SCN4A gene mutations improve the prognosis of ICI treatment. It is hoped that the effect of SCN4A on immunogenicity and tumor immunity can be demonstrated to further suggest the effect of this gene on the efficacy of ICIs. Copyright © 2020 The Author(s). Published by Elsevier Masson SAS.. All rights reserved.

基金:
语种:
WOS:
PubmedID:
中科院(CAS)分区:
出版当年[2019]版:
大类 | 3 区 医学
小类 | 3 区 医学:研究与实验 3 区 药学
最新[2025]版:
大类 | 2 区 医学
小类 | 2 区 医学:研究与实验 2 区 药学
JCR分区:
出版当年[2018]版:
Q1 PHARMACOLOGY & PHARMACY Q2 MEDICINE, RESEARCH & EXPERIMENTAL
最新[2023]版:
Q1 MEDICINE, RESEARCH & EXPERIMENTAL Q1 PHARMACOLOGY & PHARMACY

影响因子: 最新[2023版] 最新五年平均 出版当年[2018版] 出版当年五年平均 出版前一年[2017版] 出版后一年[2019版]

第一作者:
第一作者机构: [1]Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, People’s Republic of China
共同第一作者:
通讯作者:
通讯机构: [1]Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, People’s Republic of China [3]Department of Information, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, People’s Republic of China [4]Guangdong Fusion Application Engineering Center of Medical Big Data, Guangzhou, Guangdong, People’s Republic of China [*1]Department of Oncology, Zhujiang Hospital, Southern Medical University, 253 Industry Road, Guangzhou, 510282, People’s Republic [*2]Department of Information, Zhujiang Hospital, Southern Medical University, 253 Industry Road, Guangzhou, 510282, People’s Republic of China.
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:2018 今日访问量:0 总访问量:645 更新日期:2024-07-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 广东省中医院 技术支持:重庆聚合科技有限公司 地址:广州市越秀区大德路111号