Molecular landscape of acute myeloid leukemia in younger adults and its clinical relevance

髓系白血病 医学 白血病 疾病 内科学 计算生物学 生物 生物信息学 癌症研究 遗传学
作者
David Grimwade,Adam Ivey,Brian J.P. Huntly
出处
期刊:Blood [Elsevier BV]
卷期号:127 (1): 29-41 被引量:398
标识
DOI:10.1182/blood-2015-07-604496
摘要

Abstract Recent major advances in understanding the molecular basis of acute myeloid leukemia (AML) provide a double-edged sword. Although defining the topology and key features of the molecular landscape are fundamental to development of novel treatment approaches and provide opportunities for greater individualization of therapy, confirmation of the genetic complexity presents a huge challenge to successful translation into routine clinical practice. It is now clear that many genes are recurrently mutated in AML; moreover, individual leukemias harbor multiple mutations and are potentially composed of subclones with differing mutational composition, rendering each patient’s AML genetically unique. In order to make sense of the overwhelming mutational data and capitalize on this clinically, it is important to identify (1) critical AML-defining molecular abnormalities that distinguish biological disease entities; (2) mutations, typically arising in subclones, that may influence prognosis but are unlikely to be ideal therapeutic targets; (3) mutations associated with preleukemic clones; and (4) mutations that have been robustly shown to confer independent prognostic information or are therapeutically relevant. The reward of identifying AML-defining molecular lesions present in all leukemic populations (including subclones) has been exemplified by acute promyelocytic leukemia, where successful targeting of the underlying PML-RARα oncoprotein has eliminated the need for chemotherapy for disease cure. Despite the molecular heterogeneity and recognizing that treatment options for other forms of AML are limited, this review will consider the scope for using novel molecular information to improve diagnosis, identify subsets of patients eligible for targeted therapies, refine outcome prediction, and track treatment response.

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
科研通AI2S应助蓝天采纳,获得30
刚刚
33发布了新的文献求助10
刚刚
梓曦完成签到 ,获得积分10
刚刚
咕咕咕发布了新的文献求助10
1秒前
椋梦发布了新的文献求助10
1秒前
henxi发布了新的文献求助10
3秒前
lane完成签到 ,获得积分10
3秒前
luohao发布了新的文献求助10
5秒前
跳跃的萧完成签到,获得积分10
5秒前
6秒前
英俊的铭应助科研通管家采纳,获得10
7秒前
YWY应助科研通管家采纳,获得10
7秒前
咿呀喂发布了新的文献求助10
7秒前
在水一方应助科研通管家采纳,获得10
8秒前
小小哒发布了新的文献求助30
8秒前
浮游应助科研通管家采纳,获得10
8秒前
深情安青应助科研通管家采纳,获得10
8秒前
彭于晏应助科研通管家采纳,获得10
8秒前
Ronggaz应助科研通管家采纳,获得20
9秒前
顾矜应助科研通管家采纳,获得20
9秒前
领导范儿应助科研通管家采纳,获得10
9秒前
彭于晏应助科研通管家采纳,获得10
9秒前
arniu2008应助科研通管家采纳,获得20
9秒前
传奇3应助科研通管家采纳,获得10
10秒前
FashionBoy应助科研通管家采纳,获得10
10秒前
昆明官渡酒店应助与你采纳,获得30
10秒前
10秒前
10秒前
10秒前
清野应助科研通管家采纳,获得10
11秒前
领导范儿应助科研通管家采纳,获得10
11秒前
曾恒敬完成签到,获得积分10
11秒前
草拟大坝完成签到 ,获得积分0
11秒前
搜集达人应助科研通管家采纳,获得10
11秒前
兵王应助科研通管家采纳,获得10
11秒前
兵王应助科研通管家采纳,获得10
11秒前
浮游应助科研通管家采纳,获得10
12秒前
CipherSage应助科研通管家采纳,获得10
12秒前
UN完成签到,获得积分10
12秒前
NexusExplorer应助科研通管家采纳,获得10
12秒前
高分求助中
液晶指向矢仿真分析数据集 8888
Invited Discussant 63O and 64O 1000
Ideology and Meaning-Making under the Putin Regime 750
Petrology and Plate Tectonics 500
Writing Systems 500
A Handbook of User Experience Research & Design in Libraries 400
Understanding Modeling and Simulation of Polymerization Reactions 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 计算机科学 化学工程 生物化学 物理 内科学 复合材料 催化作用 光电子学 物理化学 电极 细胞生物学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6881657
求助须知:如何正确求助?哪些是违规求助? 8581097
关于积分的说明 18230921
捐赠科研通 6265885
什么是DOI,文献DOI怎么找? 3055466
关于科研通互助平台的介绍 2066483
邀请新用户注册赠送积分活动 2033135