Using a novel panel of drug-resistant triple-negative breast cancer cell lines to identify candidate therapeutic targets and biomarkers

三阴性乳腺癌 药品 乳腺癌 医学 癌症研究 肿瘤科 癌症 药理学 计算生物学 生物 内科学
作者
Helen E. Grimsley,Magdalena Antczak,Ian Reddin,Nina Weiler,Katie-May McLaughlin,Florian Rothweiler,Johannes Haas,Andrea Nist,Marco Mernberger,Thorsten Stiewe,Tim R. Fenton,Daniel Speidel,Catherine Harper‐Wynne,Karina Cox,Dirk Heckl,Jindrich Cínatl,Mark N. Wass,Michelle D. Garrett,Martin Michaelis
出处
期刊:Cancer Letters [Elsevier BV]
卷期号:: 217754-217754
标识
DOI:10.1016/j.canlet.2025.217754
摘要

Here, we introduce a novel set of triple-negative breast cancer (TNBC) cell lines consisting of MDA-MB-468, HCC38, and HCC1806 and their sublines adapted to cisplatin, doxorubicin, eribulin, paclitaxel, gemcitabine, or 5-fluorouracil. Whole exome sequencing combined with TCGA-derived patient data resulted in the identification of 682 biomarker candidates in a pan-cancer analysis. Thirty-five genes were considered the most promising candidates because they harbored resistance-associated variants in at least two resistant sublines, and their expression correlated with TNBC patient survival. Exome sequencing and response profiles to cytotoxic drugs and DNA damage response inhibitors identified revealed remarkably little overlap between the resistant sublines, suggesting that each resistance formation process follows a unique route. This reflects recent findings on cancer cell evolution in patients, supporting the relevance of drug-adapted cancer cell lines as preclinical models of acquired resistance. Moreover, all of the drug-resistant TNBC sublines remained sensitive or even displayed collateral sensitivity to a range of tested compounds. Cross-resistance levels were lowest for the CHK2 inhibitor CCT241533, the PLK1 inhibitor SBE13, and the RAD51 recombinase inhibitor B02, suggesting that CHK2, PLK1, and RAD51 are potential drug targets for therapy-refractory TNBC. In conclusion, we present novel preclinical models of acquired drug resistance in TNBC and the identification of novel candidate therapeutic targets and biomarkers for this disease.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
欧斌完成签到,获得积分10
1秒前
1秒前
陈焰完成签到,获得积分10
2秒前
xmuchem发布了新的文献求助10
2秒前
酷波er应助Ruhe采纳,获得10
3秒前
Loik完成签到,获得积分20
4秒前
smile发布了新的文献求助10
4秒前
善良青筠发布了新的文献求助10
4秒前
bkagyin应助Lam采纳,获得10
5秒前
Lucas应助Cici采纳,获得10
6秒前
王哪跑12完成签到,获得积分10
7秒前
鲤鱼迎南完成签到 ,获得积分10
7秒前
8秒前
Andrewlabeth完成签到,获得积分10
8秒前
CodeCraft应助gaozx123采纳,获得10
9秒前
迷路秋荷发布了新的文献求助10
9秒前
10秒前
11秒前
DR.V完成签到,获得积分10
12秒前
整齐哑铃发布了新的文献求助10
12秒前
哈哈发布了新的文献求助10
12秒前
今天要睡觉完成签到,获得积分20
12秒前
13秒前
juajin发布了新的文献求助10
13秒前
smile完成签到,获得积分10
13秒前
小马发布了新的文献求助20
14秒前
Ava应助Hcoojzk采纳,获得10
14秒前
15秒前
15秒前
limeng完成签到,获得积分10
15秒前
Ruhe发布了新的文献求助10
15秒前
爆米花应助jack采纳,获得10
17秒前
LEI完成签到,获得积分10
17秒前
17秒前
TJ发布了新的文献求助10
17秒前
2799发布了新的文献求助10
18秒前
18秒前
高贵的雅山完成签到,获得积分10
19秒前
20秒前
简之宁发布了新的文献求助20
20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
Treatise on Geochemistry (Third edition) 1600
Разработка технологических основ обеспечения качества сборки высокоточных узлов газотурбинных двигателей,2000 1000
Benefit of Whole-Pelvis Radiation for Patients With Muscle-Invasive Bladder Cancer: An Inverse Probability Treatment Weighted Analysis 510
Vertebrate Palaeontology, 5th Edition 500
ISO/IEC 24760-1:2025 Information security, cybersecurity and privacy protection — A framework for identity management 500
Optimization and Learning via Stochastic Gradient Search 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 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4703051
求助须知:如何正确求助?哪些是违规求助? 4070728
关于积分的说明 12586947
捐赠科研通 3771109
什么是DOI,文献DOI怎么找? 2082773
邀请新用户注册赠送积分活动 1110175
科研通“疑难数据库(出版商)”最低求助积分说明 988155