The mutational landscape of mucosal melanoma

粘膜黑色素瘤 黑色素瘤 神经母细胞瘤RAS病毒癌基因同源物 外显子组测序 癌症研究 医学 生物 突变 基因 遗传学 克拉斯
作者
Kelsey W. Nassar,Aik Choon Tan
出处
期刊:Seminars in Cancer Biology [Elsevier BV]
卷期号:61: 139-148 被引量:223
标识
DOI:10.1016/j.semcancer.2019.09.013
摘要

Mucosal melanoma is a rare and aggressive subtype of melanoma that has a less favorable prognosis due to the lack of understanding and identification of oncogenic drivers. Recently, whole genome and whole exome sequencing have unveiled the molecular landscape and potential oncogenic drivers of mucosal melanoma, which remains distinct from cutaneous melanoma. In this review, we provide an overview of the genomic landscape of mucosal melanoma, with a focus on molecular studies identifying potential oncogenic drivers allowing for a better mechanistic understanding of the biology of mucosal melanoma. We summarized the published genomics and clinical data supporting the observations that mucosal melanoma harbors distinct genetic alterations and oncogenic drivers from cutaneous melanoma, and thus should be treated accordingly. The common drivers (BRAF and NRAS) found in cutaneous melanoma have lower mutation rate in mucosal melanoma. In contrast, SF3B1 and KIT have higher mutation rate in mucosal melanoma as compared to cutaneous melanoma. From the meta-analysis, we also observed that the mutational profiles are slightly different between the "upper" and "lower" regions of mucosal melanoma, providing new insights and therapeutic options for the mucosal melanoma patients. Mutations identified in mucosal melanoma should be incorporated into routine clinical testing, as there are targeted therapies already developed for treating patients with these mutations in the precision medicine era.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
梦梦发布了新的文献求助10
刚刚
1秒前
Ava的应助被SJ_Wang采纳,获得10
2秒前
吉克完成签到,获得积分10
3秒前
欢呼亦竹完成签到,获得积分10
4秒前
4秒前
Siran发布了新的文献求助10
5秒前
慕青的应助被初景采纳,获得10
5秒前
草原狼完成签到,获得积分10
5秒前
郑舒心呀完成签到 ,获得积分20
5秒前
5秒前
专一的访卉完成签到,获得积分10
5秒前
6秒前
6秒前
byejack发布了新的文献求助10
6秒前
7秒前
7秒前
科研通AI6.2的应助被曾年珍采纳,获得10
7秒前
9秒前
10秒前
完美世界的应助被DINASO采纳,获得10
10秒前
111完成签到,获得积分20
11秒前
yuhui发布了新的文献求助10
12秒前
wurao发布了新的文献求助10
12秒前
12秒前
daomaihu发布了新的文献求助100
12秒前
13秒前
13秒前
丘比特的应助被mamahaha采纳,获得10
14秒前
mdea发布了新的文献求助10
14秒前
沉静蛟凤发布了新的文献求助10
15秒前
111发布了新的文献求助10
15秒前
16秒前
16秒前
16秒前
17秒前
Kenzonvay发布了新的文献求助10
17秒前
研友_Ze2oV8完成签到 ,获得积分10
18秒前
天天快乐的应助被隔壁阿周采纳,获得10
18秒前
CipherSage的应助被左江夜渔人采纳,获得10
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Linear Model and Extensions 5000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 1000
Электротехническая система магнитожидкостной герметизации валов регулируемых электродвигателей 800
Holistic Discourse Analysis, Second Edition by Robert E. Longacre 666
Guidelines for fracture-safe and fatigue-reliable design of steel structures 600
The Basics of Practical Optimization, Second Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 7983329
求助须知:如何正确求助?哪些是违规求助? 9443640
关于积分的说明 21086932
捐赠科研通 7558193
什么是DOI,文献DOI怎么找? 3376467
关于科研通互助平台的介绍 2510676
邀请新用户注册赠送积分活动 2409709