Implications of TP53 allelic state for genome stability, clinical presentation and outcomes in myelodysplastic syndromes

骨髓增生异常综合症 PTEN公司 等位基因 国际预后积分系统 髓系白血病 医学 肿瘤科 表型 遗传学 内科学 癌症 生物 基因 癌症研究 骨髓 细胞凋亡 PI3K/AKT/mTOR通路
作者
Elsa Bernard,Yasuhito Nannya,Robert P. Hasserjian,Sean M. Devlin,Heinz Tuechler,Juan S. Medina-Martínez,Tetsuichi Yoshizato,Yusuke Shiozawa,Ryunosuke Saiki,Luca Malcovati,Max F. Levine,Juan E. Arango,Yangyu Zhou,Françesc Solé,Catherine Cargo,Detlef Haase,Maria Creignou,Ulrich Germing,Yanming Zhang,Gunes Gundem
出处
期刊:Nature Medicine [Nature Portfolio]
卷期号:26 (10): 1549-1556 被引量:626
标识
DOI:10.1038/s41591-020-1008-z
摘要

Tumor protein p53 (TP53) is the most frequently mutated gene in cancer1,2. In patients with myelodysplastic syndromes (MDS), TP53 mutations are associated with high-risk disease3,4, rapid transformation to acute myeloid leukemia (AML)5, resistance to conventional therapies6-8 and dismal outcomes9. Consistent with the tumor-suppressive role of TP53, patients harbor both mono- and biallelic mutations10. However, the biological and clinical implications of TP53 allelic state have not been fully investigated in MDS or any other cancer type. We analyzed 3,324 patients with MDS for TP53 mutations and allelic imbalances and delineated two subsets of patients with distinct phenotypes and outcomes. One-third of TP53-mutated patients had monoallelic mutations whereas two-thirds had multiple hits (multi-hit) consistent with biallelic targeting. Established associations with complex karyotype, few co-occurring mutations, high-risk presentation and poor outcomes were specific to multi-hit patients only. TP53 multi-hit state predicted risk of death and leukemic transformation independently of the Revised International Prognostic Scoring System (IPSS-R)11. Surprisingly, monoallelic patients did not differ from TP53 wild-type patients in outcomes and response to therapy. This study shows that consideration of TP53 allelic state is critical for diagnostic and prognostic precision in MDS as well as in future correlative studies of treatment response.
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
1秒前
共享精神应助佳佳采纳,获得10
1秒前
wuqs发布了新的文献求助10
1秒前
酷波er应助小培子采纳,获得10
2秒前
姜延峰发布了新的文献求助10
2秒前
4秒前
4秒前
chengmin发布了新的文献求助10
5秒前
wanci应助阿胡采纳,获得10
6秒前
日富一日的fighter完成签到,获得积分10
7秒前
syyy完成签到,获得积分10
7秒前
8秒前
风起雁南下完成签到,获得积分10
8秒前
9秒前
大个应助luo采纳,获得30
10秒前
pluto应助觅柔采纳,获得10
10秒前
11秒前
ZKcrane完成签到,获得积分10
12秒前
怀民完成签到 ,获得积分10
13秒前
雨霧雲完成签到,获得积分10
13秒前
15秒前
DJC完成签到,获得积分10
16秒前
张章发布了新的文献求助10
18秒前
芋泥奶盖发布了新的文献求助20
18秒前
19秒前
燃斧辉光完成签到,获得积分10
21秒前
22秒前
斯文败类应助灰灰采纳,获得10
23秒前
龍Ryu完成签到,获得积分10
24秒前
xjs发布了新的文献求助10
25秒前
chengmin完成签到,获得积分10
25秒前
omega发布了新的文献求助10
25秒前
25秒前
觅柔完成签到,获得积分10
27秒前
28秒前
老八发布了新的文献求助10
29秒前
余南发布了新的文献求助10
30秒前
30秒前
32秒前
追梦小帅完成签到,获得积分10
32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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
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 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6358039
求助须知:如何正确求助?哪些是违规求助? 8172517
关于积分的说明 17208791
捐赠科研通 5413439
什么是DOI,文献DOI怎么找? 2865108
邀请新用户注册赠送积分活动 1842634
关于科研通互助平台的介绍 1690720