Targeting DNA methylation and B7-H3 in RB1-deficient and neuroendocrine prostate cancer

癸他滨 前列腺癌 癌症研究 DNA甲基化 组蛋白H3 表观遗传学 甲基转移酶 生物 EZH2型 DNA甲基转移酶 癌症 甲基化 医学 基因表达 基因 遗传学
作者
Yasutaka Yamada,Varadha Balaji Venkadakrishnan,Kei Mizuno,Martin Bakht,Sheng-Yu Ku,Maria Mica Garcia,Himisha Beltran
出处
期刊:Science Translational Medicine [American Association for the Advancement of Science (AAAS)]
卷期号:15 (722)
标识
DOI:10.1126/scitranslmed.adf6732
摘要

Aberrant DNA methylation has been implicated as a key driver of prostate cancer lineage plasticity and histologic transformation to neuroendocrine prostate cancer (NEPC). DNA methyltransferases (DNMTs) are highly expressed, and global DNA methylation is dysregulated in NEPC. We identified that deletion of DNMT genes decreases expression of neuroendocrine lineage markers and substantially reduced NEPC tumor development and metastasis in vivo. Decitabine, a pan-DNMT inhibitor, attenuated tumor growth in NEPC patient–derived xenograft models, as well as retinoblastoma gene ( RB1 )–deficient castration-resistant prostate adenocarcinoma (CRPC) models compared with RB1 -proficient CRPC. We further found that DNMT inhibition increased expression of B7 homolog 3 (B7-H3), an emerging druggable target, via demethylation of B7-H3. We tested DS-7300a (i-DXd), an antibody-drug conjugate targeting B7-H3, alone and in combination with decitabine in models of advanced prostate cancer. There was potent single-agent antitumor activity of DS-7300a in both CRPC and NEPC bearing high expression of B7-H3. In B7-H3–low models, combination therapy of decitabine plus DS-7300a resulted in enhanced response. DNMT inhibition may therefore be a promising therapeutic target for NEPC and RB1-deficient CRPC and may sensitize B7-H3–low prostate cancer to DS-7300a through increasing target expression. NEPC and RB1-deficient CRPC represent prostate cancer subgroups with poor prognosis, and the development of biomarker-driven therapeutic strategies for these populations may ultimately help improve patient outcomes.
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
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
lisa完成签到,获得积分10
2秒前
万能图书馆应助wushuo采纳,获得10
2秒前
潘潘发布了新的文献求助30
3秒前
4秒前
Maestro_S应助科研通管家采纳,获得10
4秒前
科研通AI2S应助科研通管家采纳,获得10
4秒前
852应助科研通管家采纳,获得10
4秒前
4秒前
iVANPENNY应助科研通管家采纳,获得10
4秒前
Maestro_S应助科研通管家采纳,获得10
4秒前
在水一方应助科研通管家采纳,获得50
4秒前
天天快乐应助科研通管家采纳,获得10
4秒前
汉堡包应助科研通管家采纳,获得10
4秒前
思源应助科研通管家采纳,获得10
4秒前
bkagyin应助科研通管家采纳,获得10
4秒前
xiaoqi应助科研通管家采纳,获得10
4秒前
4秒前
所所应助科研通管家采纳,获得10
4秒前
丘比特应助科研通管家采纳,获得10
4秒前
Maestro_S应助科研通管家采纳,获得10
4秒前
等你来应助魏煜佳采纳,获得10
6秒前
平淡豁发布了新的文献求助10
7秒前
linhuafeng完成签到,获得积分20
8秒前
毛毛发布了新的文献求助10
13秒前
齐天大圣发布了新的文献求助50
13秒前
14秒前
李爱国应助潘潘采纳,获得10
15秒前
16秒前
LJM完成签到,获得积分10
16秒前
领导范儿应助wanjingwan采纳,获得10
19秒前
CodeCraft应助雨无意采纳,获得10
20秒前
完美世界应助南宫士晋采纳,获得10
24秒前
飘逸的天空完成签到,获得积分10
24秒前
不安青牛应助yuyang031985采纳,获得10
27秒前
三巡完成签到,获得积分10
29秒前
wushuo完成签到,获得积分10
30秒前
30秒前
星辰大海应助圈圈采纳,获得10
31秒前
lxy完成签到,获得积分10
33秒前
34秒前
高分求助中
The Illustrated History of Gymnastics 800
The Bourse of Babylon : market quotations in the astronomical diaries of Babylonia 680
Herman Melville: A Biography (Volume 1, 1819-1851) 600
Division and square root. Digit-recurrence algorithms and implementations 500
機能營養學前瞻(3 Ed.) 300
Improving the ductility and toughness of Fe-Cr-B cast irons 300
Problems of transcultural communication 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2507699
求助须知:如何正确求助?哪些是违规求助? 2158992
关于积分的说明 5526643
捐赠科研通 1879337
什么是DOI,文献DOI怎么找? 934954
版权声明 564069
科研通“疑难数据库(出版商)”最低求助积分说明 499308