Mitosis, Cytoskeleton Regulation, and Drug Resistance in Receptor Triple Negative Breast Cancer

Alexandre Matov
{"title":"Mitosis, Cytoskeleton Regulation, and Drug Resistance in Receptor Triple Negative Breast Cancer","authors":"Alexandre Matov","doi":"arxiv-2407.19112","DOIUrl":null,"url":null,"abstract":"Methods for personalizing medical treatment are the focal point of\ncontemporary biomedical research. In cancer care, we can analyze the effects of\ntherapies at the level of individual cells. Quantitative characterization of\ntreatment efficacy and evaluation of why some individuals respond to specific\nregimens, whereas others do not, requires additional approaches to genetic\nsequencing at single time points. Methods for the continuous analysis of\nchanges in phenotype, such as in vivo and ex vivo morphology and motion\ntracking of cellular proteins and organelles, over time-frames spanning the\nminute-hour scales, can provide important insights into patient treatment\noptions. Despite improvements in the diagnosis and therapy of many types of breast\ncancer (BC), many aggressive forms, such as receptor triple-negative cancers,\nare associated with the worst patient outcomes; though initially effective in\nreducing tumor burden for some patients, acquired resistance to cytotoxic\nchemotherapy is almost universal, and there is no rationale for identifying\nintrinsically drug-resistant and drug-sensitive patient populations before\ninitiating therapy. During cell division, the receptor triple-negative\nMDA-MB-231 mitotic spindles are the largest in comparison to other BC cell\nlines. Many of the MDA-MB-231 spindles exhibit rapid lateral twisting during\nmetaphase, which remains unaffected by knockdown of the oncogene Myc and\ntreatment with inhibitors of the serine/threonine-protein kinase B-Raf and the\nepidermal growth factor receptor (EGFR), alone or in any combination. In this manuscript, we outline a strategy for the selection of the most\noptimal tubulin inhibitor based on the ability to affect MT dynamics.","PeriodicalId":501266,"journal":{"name":"arXiv - QuanBio - Quantitative Methods","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Quantitative Methods","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.19112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Methods for personalizing medical treatment are the focal point of contemporary biomedical research. In cancer care, we can analyze the effects of therapies at the level of individual cells. Quantitative characterization of treatment efficacy and evaluation of why some individuals respond to specific regimens, whereas others do not, requires additional approaches to genetic sequencing at single time points. Methods for the continuous analysis of changes in phenotype, such as in vivo and ex vivo morphology and motion tracking of cellular proteins and organelles, over time-frames spanning the minute-hour scales, can provide important insights into patient treatment options. Despite improvements in the diagnosis and therapy of many types of breast cancer (BC), many aggressive forms, such as receptor triple-negative cancers, are associated with the worst patient outcomes; though initially effective in reducing tumor burden for some patients, acquired resistance to cytotoxic chemotherapy is almost universal, and there is no rationale for identifying intrinsically drug-resistant and drug-sensitive patient populations before initiating therapy. During cell division, the receptor triple-negative MDA-MB-231 mitotic spindles are the largest in comparison to other BC cell lines. Many of the MDA-MB-231 spindles exhibit rapid lateral twisting during metaphase, which remains unaffected by knockdown of the oncogene Myc and treatment with inhibitors of the serine/threonine-protein kinase B-Raf and the epidermal growth factor receptor (EGFR), alone or in any combination. In this manuscript, we outline a strategy for the selection of the most optimal tubulin inhibitor based on the ability to affect MT dynamics.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
受体三阴性乳腺癌的有丝分裂、细胞骨架调节和耐药性
个性化医疗方法是当代生物医学研究的焦点。在癌症治疗中,我们可以从单个细胞的层面分析治疗效果。要定量分析治疗效果,评估为什么有些人对特定的治疗方案有反应,而有些人则没有,这需要在单个时间点进行基因测序的基础上采取更多的方法。对表型变化进行连续分析的方法,如体内和体外形态学以及细胞蛋白质和细胞器的运动追踪,其时间跨度可达几分钟至几小时,可为患者的治疗选择提供重要启示。尽管许多类型乳腺癌(BC)的诊断和治疗都有所改进,但许多侵袭性乳腺癌(如受体三阴性癌)的患者预后最差;虽然最初能有效减轻一些患者的肿瘤负担,但后天对细胞毒化疗的耐药性几乎是普遍现象,而且没有理由在开始治疗前鉴别本质上耐药和对药物敏感的患者群体。在细胞分裂过程中,与其他 BC 细胞相比,受体三阴性的 MDA-MB-231 有丝分裂轴是最大的。MDA-MB-231的许多纺锤体在有丝分裂期表现出快速的横向扭转,这种扭转不受癌基因Myc基因敲除以及丝氨酸/苏氨酸蛋白激酶B-Raf和表皮生长因子受体(EGFR)抑制剂单独或联合使用的影响。在本手稿中,我们概述了根据影响MT动态的能力来选择最佳微管蛋白抑制剂的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities Automating proton PBS treatment planning for head and neck cancers using policy gradient-based deep reinforcement learning A computational framework for optimal and Model Predictive Control of stochastic gene regulatory networks Active learning for energy-based antibody optimization and enhanced screening Comorbid anxiety symptoms predict lower odds of improvement in depression symptoms during smartphone-delivered psychotherapy
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1