Abstract 913: Tert mutant promoter mouse model induces cancer progression in BrafV600E-driven thyroid tumors: A novel tool to understand the biology of telomerase-reactivated cancers

端粒酶 癌症研究 端粒酶逆转录酶 甲状腺癌 生物 甲状腺乳突癌 曲美替尼 甲状腺间变性癌 突变体 癌症 分子生物学 MAPK/ERK通路 基因 细胞生物学 遗传学 磷酸化
作者
Iñigo Landa,Jingzhu Hao,Bin Xu,Joseph C. Giacalone,Zach Herbert,María A. Blasco,Jeffrey A. Knauf,Ronald Ghossein,James A. Fagin
出处
期刊:Cancer Research [American Association for Cancer Research]
卷期号:82 (12_Supplement): 913-913 被引量:1
标识
DOI:10.1158/1538-7445.am2022-913
摘要

Abstract Hotspot mutations in the proximal promoter of the telomerase reverse transcriptase (TERT) gene are the first cross-cancer alterations lying in a gene regulatory region. TERT promoter mutations (TPMs) are enriched in advanced thyroid tumors and constitute markers of disease severity. TPMs enhance TERT transcription, which is otherwise silenced in adult tissues, thus reactivating a bone fide oncoprotein. To study TERT deregulation and its downstream consequences in a biologically accurate model, we generated a Tert-mutant promoter mouse model via CRISPR/Cas9 editing of the equivalent murine locus and crossed these animals with thyroid-specific BrafV600E-mutant mice. BrafV600E animals develop highly penetrant papillary thyroid tumors (PTC) by week 5, but do not progress. In contrast, BrafV600E+TertMUT animals showed an increased incidence of poorly differentiated thyroid cancers (PDTC) by 20 weeks (30% vs. 0% in BrafV600E; chi-squared P= 0.03), mimicking those exhibited by an alternative transgenic model of Tert overexpression (BrafV600E+K5-Tert; 36% PDTCs). Mouse Tert promoter mutation increased Tert transcription in vitro and in vivo, as reported in patients’ tumors carrying TPMs. Braf+Tert animals partially responded to MAPK pathway inhibition (dabrafenib plus trametinib), showing that MAPK signaling remains relevant in these specimens. Interestingly, RNA sequencing of Tert-reactivated murine thyroid tumors showed unique transcriptomic profiles (compared to BrafV600E alone), suggesting that downstream effects, other than the canonical Tert-mediated telomere maintenance, operate in cancers harboring TPMs. These cancer models of telomerase reactivation provide excellent pre-clinical settings to understand the regulatory mechanisms and biological underpinnings of TPM-induced progression of thyroid and other tumors, and to explore novel therapeutic strategies. Citation Format: Inigo Landa, Jingzhu Hao, Bin Xu, Joseph Giacalone, Zach Herbert, Maria A. Blasco, Jeffrey A. Knauf, Ronald Ghossein, James A. Fagin. Tert mutant promoter mouse model induces cancer progression in BrafV600E-driven thyroid tumors: A novel tool to understand the biology of telomerase-reactivated cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 913.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
所所应助鸽子采纳,获得10
刚刚
2秒前
5秒前
5秒前
5秒前
6秒前
8秒前
科研小白发布了新的文献求助10
10秒前
小北应助zhumengyu采纳,获得10
11秒前
guygun发布了新的文献求助10
11秒前
脑洞疼应助weiliaier采纳,获得20
13秒前
111发布了新的文献求助10
13秒前
Asteroid完成签到,获得积分10
14秒前
kid1912应助冷静的白菜采纳,获得10
14秒前
顾矜应助鱼鱼鱼KYSL采纳,获得10
14秒前
15秒前
16秒前
16秒前
乐乐应助故意的白开水采纳,获得10
17秒前
吐泡泡的奇异果完成签到,获得积分10
18秒前
18秒前
冷艳的凝荷完成签到,获得积分10
19秒前
酷酷诗蕾发布了新的文献求助30
20秒前
danti发布了新的文献求助10
21秒前
21秒前
22秒前
了了发布了新的文献求助10
22秒前
完美的以寒完成签到 ,获得积分10
23秒前
啦啦发布了新的文献求助10
24秒前
万能图书馆应助左手树采纳,获得10
26秒前
李健应助YY采纳,获得10
28秒前
28秒前
30秒前
31秒前
31秒前
鳗鱼涔雨完成签到,获得积分20
32秒前
北海未暖发布了新的文献求助10
32秒前
Lucas应助无心的寻云采纳,获得10
32秒前
danti完成签到,获得积分10
34秒前
李爱国应助了了采纳,获得30
34秒前
高分求助中
Rock-Forming Minerals, Volume 3C, Sheet Silicates: Clay Minerals 2000
The late Devonian Standard Conodont Zonation 2000
Nickel superalloy market size, share, growth, trends, and forecast 2023-2030 2000
The Lali Section: An Excellent Reference Section for Upper - Devonian in South China 1500
The Healthy Socialist Life in Maoist China 600
The Vladimirov Diaries [by Peter Vladimirov] 600
Data Structures and Algorithms in Java 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3268165
求助须知:如何正确求助?哪些是违规求助? 2907679
关于积分的说明 8342753
捐赠科研通 2578067
什么是DOI,文献DOI怎么找? 1401654
科研通“疑难数据库(出版商)”最低求助积分说明 655107
邀请新用户注册赠送积分活动 634186