Predicting PTEN mutations: an evaluation of Cowden syndrome and Bannayan-Riley-Ruvalcaba syndrome clinical features

巨头畸形 PTEN公司 考登综合征 医学 乳腺癌 病理 内科学 癌症 皮肤病科 生物 遗传学 细胞凋亡 PI3K/AKT/mTOR通路
作者
Robert Pilarski,Julie Stephens,Ryan Noss,James L. Fisher,T. Prior
出处
期刊:Journal of Medical Genetics [BMJ]
卷期号:48 (8): 505-512 被引量:157
标识
DOI:10.1136/jmg.2011.088807
摘要

Cowden syndrome (CS) is associated with benign hamartomatous lesions and risks for thyroid, breast and endometrial cancers. Bannayan-Riley-Ruvalcaba syndrome is an allelic disorder characterised by macrocephaly, intestinal polyps, lipomas, and pigmented penile macules. Diagnostic criteria for CS are based on the presence of a range of clinical features. However, prior data on the component clinical features have been based primarily on compilations of cases reported before development of consensus diagnostic criteria.This study sought to determine the clinical features most predictive of a mutation in the largest single cohort of patients with clinical testing for PTEN mutations reported to date.Molecular and clinical data were reviewed on 802 patients referred for PTEN analysis by a single laboratory.Deleterious mutations were found in 172 (21.4%) subjects. Among mutation carriers significant differences from previous reports were found for the frequencies of several clinical features, including macrocephaly, uterine fibroids, benign breast disease, and endometrial cancer. Logistic regression analyses indicated that female mutation carriers were best identified by the presence of macrocephaly, endometrial cancer, trichilemmomas, papillomatous papules, breast cancer, benign thyroid disease, and benign gastrointestinal (GI) lesions. For males, the most discriminating features were macrocephaly, lipomas, papillomatous papules, penile freckling, benign GI lesions, and benign thyroid disease. Age related differences were also identified.The mutation frequency in patients meeting CS diagnostic criteria (34%) was significantly lower than previously reported, suggesting a need for reevaluation of these criteria. A mutation prediction model has been developed which can help identify patients appropriate for PTEN testing in clinical practice.

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
顾矜应助mg采纳,获得50
1秒前
新晴山月发布了新的文献求助10
1秒前
无极微光应助你快睡吧采纳,获得20
2秒前
2秒前
having发布了新的文献求助10
2秒前
我是125完成签到,获得积分10
2秒前
Ava应助maliwen采纳,获得10
3秒前
睿0924发布了新的文献求助10
3秒前
无语的镜子关注了科研通微信公众号
3秒前
jiangwei完成签到,获得积分10
4秒前
印第安老斑鸠应助Li梨采纳,获得10
5秒前
Orange应助碧蓝访风采纳,获得10
6秒前
英俊的铭应助你们才来采纳,获得10
6秒前
nenoaowu发布了新的文献求助10
6秒前
妩媚的寻琴关注了科研通微信公众号
7秒前
芽芽豆发布了新的文献求助10
7秒前
7秒前
8秒前
标致水之完成签到,获得积分10
8秒前
balance完成签到,获得积分10
10秒前
10秒前
嗷嗷嗷后完成签到 ,获得积分10
10秒前
hmgdktf完成签到,获得积分10
10秒前
10秒前
科研通AI6.2应助having采纳,获得10
11秒前
11秒前
11秒前
哎呀哎呀呀完成签到,获得积分10
12秒前
迅速的星月完成签到,获得积分20
12秒前
ablesic.rong发布了新的文献求助10
13秒前
未酱发布了新的文献求助10
13秒前
不动僧完成签到,获得积分10
14秒前
15秒前
科研通AI6.2应助依古比古采纳,获得10
15秒前
15秒前
CodeCraft应助H123采纳,获得10
16秒前
16秒前
hlt发布了新的文献求助10
16秒前
MiyaGuo发布了新的文献求助10
17秒前
17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
Developing Genetic Editing Tools for Lysobacter 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, 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 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 6528272
求助须知:如何正确求助?哪些是违规求助? 8321362
关于积分的说明 17813807
捐赠科研通 5629908
什么是DOI,文献DOI怎么找? 2930672
邀请新用户注册赠送积分活动 1907425
关于科研通互助平台的介绍 1766795