已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Single-cell analysis of treatment-resistant prostate cancer: Implications of cell state changes for cell surface antigen–targeted therapies

前列腺癌 细胞 谱系(遗传) 癌症研究 前列腺 癌症 组织微阵列 生物 基因 遗传学
作者
Samir Zaidi,Jooyoung Park,Joseph M. Chan,Martine P. Roudier,Jimmy L. Zhao,Anuradha Gopalan,Kristine M. Wadosky,Radhika A. Patel,Erolcan Sayar,Wouter R. Karthaus,D. Henry Kates,Ojasvi Chaudhary,Tianhao Xu,Ignas Masilionis,Linas Mažutis,Ronan Chaligné,Aleksandar Z. Obradovic,Irina Linkov,Afşar Barlas,Achim A. Jungbluth,Natasha Rekhtman,Joachim Silber,Katia Manova–Todorova,Philip A. Watson,Lawrence D. True,Colm Morrissey,Howard I. Scher,Dana E. Rathkopf,Michael J. Morris,David W. Goodrich,Jungmin Choi,Peter S. Nelson,Michael C. Haffner,Charles L. Sawyers
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [Proceedings of the National Academy of Sciences]
卷期号:121 (28) 被引量:2
标识
DOI:10.1073/pnas.2322203121
摘要

Targeting cell surface molecules using radioligand and antibody-based therapies has yielded considerable success across cancers. However, it remains unclear how the expression of putative lineage markers, particularly cell surface molecules, varies in the process of lineage plasticity, wherein tumor cells alter their identity and acquire new oncogenic properties. A notable example of lineage plasticity is the transformation of prostate adenocarcinoma (PRAD) to neuroendocrine prostate cancer (NEPC)—a growing resistance mechanism that results in the loss of responsiveness to androgen blockade and portends dismal patient survival. To understand how lineage markers vary across the evolution of lineage plasticity in prostate cancer, we applied single-cell analyses to 21 human prostate tumor biopsies and two genetically engineered mouse models, together with tissue microarray analysis on 131 tumor samples. Not only did we observe a higher degree of phenotypic heterogeneity in castrate-resistant PRAD and NEPC than previously anticipated but also found that the expression of molecules targeted therapeutically, namely PSMA , STEAP1 , STEAP2 , TROP2, CEACAM5 , and DLL3 , varied within a subset of gene-regulatory networks (GRNs). We also noted that NEPC and small cell lung cancer subtypes shared a set of GRNs, indicative of conserved biologic pathways that may be exploited therapeutically across tumor types. While this extreme level of transcriptional heterogeneity, particularly in cell surface marker expression, may mitigate the durability of clinical responses to current and future antigen-directed therapies, its delineation may yield signatures for patient selection in clinical trials, potentially across distinct cancer types.
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
小文子完成签到 ,获得积分10
1秒前
wait完成签到 ,获得积分10
3秒前
beichuanheqi完成签到,获得积分10
4秒前
Demi_Ming完成签到,获得积分10
5秒前
SciGPT应助doge采纳,获得10
5秒前
5秒前
XiaoQ关注了科研通微信公众号
5秒前
5秒前
6秒前
Owen应助dogontree采纳,获得10
8秒前
qwerty123完成签到,获得积分10
9秒前
xyzlancet发布了新的文献求助10
9秒前
洛圻发布了新的文献求助10
11秒前
11秒前
范垂钦发布了新的文献求助10
12秒前
qwerty123发布了新的文献求助10
13秒前
QXS完成签到 ,获得积分10
15秒前
pgjwl应助认真的新筠采纳,获得10
18秒前
du完成签到 ,获得积分10
18秒前
Jing完成签到,获得积分10
18秒前
小卒完成签到,获得积分10
21秒前
Dobby完成签到,获得积分10
21秒前
21秒前
22秒前
yxm完成签到 ,获得积分10
22秒前
www268完成签到 ,获得积分10
22秒前
GarAnr完成签到,获得积分10
22秒前
24秒前
dogontree发布了新的文献求助10
25秒前
瓷小碗发布了新的文献求助10
25秒前
奋斗的绝悟完成签到,获得积分10
26秒前
28秒前
whujiege完成签到,获得积分10
28秒前
哀泣魅影发布了新的文献求助10
28秒前
内向南风完成签到 ,获得积分10
29秒前
30秒前
30秒前
33秒前
dogontree完成签到,获得积分20
33秒前
杨晓柳发布了新的文献求助50
34秒前
高分求助中
System in Systemic Functional Linguistics A System-based Theory of Language 1000
Дружба 友好报 (1957-1958) 1000
The Data Economy: Tools and Applications 1000
Essentials of thematic analysis 700
Mantiden - Faszinierende Lauerjäger – Buch gebraucht kaufen 600
PraxisRatgeber Mantiden., faszinierende Lauerjäger. – Buch gebraucht kaufe 600
A Dissection Guide & Atlas to the Rabbit 600
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 3117368
求助须知:如何正确求助?哪些是违规求助? 2767490
关于积分的说明 7690829
捐赠科研通 2422835
什么是DOI,文献DOI怎么找? 1286437
科研通“疑难数据库(出版商)”最低求助积分说明 620404
版权声明 599856