• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

癌症对靶向联合治疗反应的进化动力学

Evolutionary dynamics of cancer in response to targeted combination therapy.

作者信息

Bozic Ivana, Reiter Johannes G, Allen Benjamin, Antal Tibor, Chatterjee Krishnendu, Shah Preya, Moon Yo Sup, Yaqubie Amin, Kelly Nicole, Le Dung T, Lipson Evan J, Chapman Paul B, Diaz Luis A, Vogelstein Bert, Nowak Martin A

机构信息

Program for Evolutionary Dynamics , Harvard University , Cambridge , United States ; Department of Mathematics , Harvard University , Cambridge , United States.

出版信息

Elife. 2013 Jun 25;2:e00747. doi: 10.7554/eLife.00747.

DOI:10.7554/eLife.00747
PMID:23805382
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3691570/
Abstract

In solid tumors, targeted treatments can lead to dramatic regressions, but responses are often short-lived because resistant cancer cells arise. The major strategy proposed for overcoming resistance is combination therapy. We present a mathematical model describing the evolutionary dynamics of lesions in response to treatment. We first studied 20 melanoma patients receiving vemurafenib. We then applied our model to an independent set of pancreatic, colorectal, and melanoma cancer patients with metastatic disease. We find that dual therapy results in long-term disease control for most patients, if there are no single mutations that cause cross-resistance to both drugs; in patients with large disease burden, triple therapy is needed. We also find that simultaneous therapy with two drugs is much more effective than sequential therapy. Our results provide realistic expectations for the efficacy of new drug combinations and inform the design of trials for new cancer therapeutics. DOI:http://dx.doi.org/10.7554/eLife.00747.001.

摘要

在实体瘤中,靶向治疗可导致肿瘤显著消退,但由于耐药癌细胞的出现,疗效往往是短暂的。为克服耐药性而提出的主要策略是联合治疗。我们提出了一个数学模型,用于描述肿瘤病灶对治疗的进化动力学。我们首先研究了20名接受维莫非尼治疗的黑色素瘤患者。然后,我们将我们的模型应用于一组独立的患有转移性疾病的胰腺癌、结直肠癌和黑色素瘤患者。我们发现,如果不存在对两种药物都产生交叉耐药性的单一突变,双重治疗可使大多数患者实现长期疾病控制;对于疾病负担较大的患者,则需要三联治疗。我们还发现,两种药物同时治疗比序贯治疗有效得多。我们的结果为新药联合治疗的疗效提供了现实的预期,并为新的癌症治疗试验设计提供了参考。DOI:http://dx.doi.org/10.7554/eLife.00747.001 。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acdc/3691570/90b9ff0c4dc0/elife00747fs001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acdc/3691570/73e40155cd44/elife00747f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acdc/3691570/e848dbefdba6/elife00747f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acdc/3691570/54e336470b30/elife00747f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acdc/3691570/c1be209b2817/elife00747f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acdc/3691570/f069ba523de2/elife00747f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acdc/3691570/90b9ff0c4dc0/elife00747fs001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acdc/3691570/73e40155cd44/elife00747f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acdc/3691570/e848dbefdba6/elife00747f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acdc/3691570/54e336470b30/elife00747f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acdc/3691570/c1be209b2817/elife00747f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acdc/3691570/f069ba523de2/elife00747f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acdc/3691570/90b9ff0c4dc0/elife00747fs001.jpg

相似文献

1
Evolutionary dynamics of cancer in response to targeted combination therapy.癌症对靶向联合治疗反应的进化动力学
Elife. 2013 Jun 25;2:e00747. doi: 10.7554/eLife.00747.
2
Evolutionary analysis of replicator dynamics about anti-cancer combination therapy.抗癌联合治疗复制者动力学的进化分析
Math Biosci Eng. 2023 Jan;20(1):656-682. doi: 10.3934/mbe.2023030. Epub 2022 Oct 13.
3
Overcoming acquired BRAF inhibitor resistance in melanoma via targeted inhibition of Hsp90 with ganetespib.通过使用ganetespib靶向抑制Hsp90克服黑色素瘤中获得性BRAF抑制剂耐药性。
Mol Cancer Ther. 2014 Feb;13(2):353-63. doi: 10.1158/1535-7163.MCT-13-0481. Epub 2014 Jan 7.
4
BRAF inhibitors in cancer therapy.BRAF 抑制剂在癌症治疗中的应用。
Pharmacol Ther. 2014 May;142(2):176-82. doi: 10.1016/j.pharmthera.2013.11.011. Epub 2013 Dec 8.
5
Stochastic modeling of drug resistance in cancer.癌症耐药性的随机建模
J Theor Biol. 2006 Apr 7;239(3):351-66. doi: 10.1016/j.jtbi.2005.08.003. Epub 2005 Sep 27.
6
Mathematical modeling of drug resistance due to KRAS mutation in colorectal cancer.结直肠癌中KRAS突变导致的耐药性的数学建模
J Theor Biol. 2016 Jan 21;389:263-73. doi: 10.1016/j.jtbi.2015.10.019. Epub 2015 Nov 6.
7
Phase IB Study of Vemurafenib in Combination with Irinotecan and Cetuximab in Patients with Metastatic Colorectal Cancer with BRAFV600E Mutation.维莫非尼联合伊立替康和西妥昔单抗治疗BRAFV600E突变转移性结直肠癌患者的I B期研究
Cancer Discov. 2016 Dec;6(12):1352-1365. doi: 10.1158/2159-8290.CD-16-0050. Epub 2016 Oct 11.
8
[Current Progress and Feasibility of Using Molecular-Targeted Agent Combinations for Metastatic Colorectal Cancer].[分子靶向药物联合治疗转移性结直肠癌的研究现状与可行性]
Gan To Kagaku Ryoho. 2016 Apr;43(4):408-12.
9
Mathematical Modeling of Therapy-induced Cancer Drug Resistance: Connecting Cancer Mechanisms to Population Survival Rates.治疗诱导的癌症药物耐药性的数学建模:将癌症机制与人群生存率联系起来。
Sci Rep. 2016 Mar 1;6:22498. doi: 10.1038/srep22498.
10
Optimal Therapy Scheduling Based on a Pair of Collaterally Sensitive Drugs.基于一对具有协同作用的药物的最佳治疗方案安排。
Bull Math Biol. 2018 Jul;80(7):1776-1809. doi: 10.1007/s11538-018-0434-2. Epub 2018 May 7.

引用本文的文献

1
PanThera: predictive analysis of higher-order combination therapies using deep neural networks.PanThera:使用深度神经网络对高阶联合疗法进行预测分析。
Brief Bioinform. 2025 Jul 2;26(4). doi: 10.1093/bib/bbaf406.
2
Longitudinal Circulating Tumor DNA-Guided Resistance Analysis During Second-Line Osimertinib Treatment.二线奥希替尼治疗期间的纵向循环肿瘤DNA引导的耐药性分析
JTO Clin Res Rep. 2025 May 26;6(9):100853. doi: 10.1016/j.jtocrr.2025.100853. eCollection 2025 Sep.
3
The maintenance and de-mixing of extrachromosomal DNA variants in single cells.

本文引用的文献

1
Chimeric antigen receptor-modified T cells for acute lymphoid leukemia.嵌合抗原受体修饰的 T 细胞治疗急性淋巴细胞白血病。
N Engl J Med. 2013 Apr 18;368(16):1509-1518. doi: 10.1056/NEJMoa1215134. Epub 2013 Mar 25.
2
BCR-ABL1 compound mutations in tyrosine kinase inhibitor-resistant CML: frequency and clonal relationships.酪氨酸激酶抑制剂耐药 CML 中的 BCR-ABL1 复合突变:频率和克隆关系。
Blood. 2013 Jan 17;121(3):489-98. doi: 10.1182/blood-2012-05-431379. Epub 2012 Dec 5.
3
Clinical opportunities and challenges in targeting tumour dormancy.
单细胞中染色体外DNA变体的维持与分离
bioRxiv. 2025 Jul 26:2024.10.22.619675. doi: 10.1101/2024.10.22.619675.
4
Personalized cancer treatment strategies incorporating irreversible and reversible drug resistance mechanisms.纳入不可逆和可逆耐药机制的个性化癌症治疗策略。
NPJ Syst Biol Appl. 2025 Jul 3;11(1):70. doi: 10.1038/s41540-025-00547-5.
5
Tumor microenvironment governs the prognostic landscape of immunotherapy for head and neck squamous cell carcinoma: A computational model-guided analysis.肿瘤微环境决定头颈部鳞状细胞癌免疫治疗的预后格局:一项计算模型引导的分析
PLoS Comput Biol. 2025 Jun 3;21(6):e1013127. doi: 10.1371/journal.pcbi.1013127. eCollection 2025 Jun.
6
On the patterns of genetic intra-tumour heterogeneity before and after treatment.关于治疗前后肿瘤内部基因异质性的模式。
Genetics. 2025 May 29. doi: 10.1093/genetics/iyaf101.
7
Evolutionary rescue by aneuploidy in tumors exposed to anticancer drugs.非整倍体在暴露于抗癌药物的肿瘤中的进化拯救作用。
Genetics. 2025 Jul 9;230(3). doi: 10.1093/genetics/iyaf098.
8
Synergistic Antibacterial Effect of Mucus Fraction from and Cirpofloxacin Against Pathogenic Bacteria Isolated from Wounds of Diabetic Patients.糖尿病患者伤口分离出的病原菌对环丙沙星与黏液成分的协同抗菌作用
Antibiotics (Basel). 2025 Mar 4;14(3):260. doi: 10.3390/antibiotics14030260.
9
A Model of Intratumor and Interpatient Heterogeneity Explains Clinical Trials of Curative Combination Therapy for Lymphoma.一种肿瘤内和患者间异质性模型解释了淋巴瘤治愈性联合治疗的临床试验
Blood Cancer Discov. 2025 May 5;6(3):254-269. doi: 10.1158/2643-3230.BCD-24-0230.
10
In-silico tool based on Boolean networks and meshless simulations for prediction of reaction and transport mechanisms in the systemic administration of chemotherapeutic drugs.基于布尔网络和无网格模拟的计算机工具,用于预测化疗药物全身给药中的反应和转运机制。
PLoS One. 2025 Feb 7;20(2):e0315194. doi: 10.1371/journal.pone.0315194. eCollection 2025.
靶向肿瘤休眠的临床机遇与挑战
Nat Rev Clin Oncol. 2013 Jan;10(1):41-51. doi: 10.1038/nrclinonc.2012.207. Epub 2012 Nov 27.
4
Impact of genetic dynamics and single-cell heterogeneity on development of nonstandard personalized medicine strategies for cancer.遗传动力学和单细胞异质性对非标准个体化癌症医学策略发展的影响。
Proc Natl Acad Sci U S A. 2012 Sep 4;109(36):14586-91. doi: 10.1073/pnas.1203559109. Epub 2012 Aug 13.
5
Widespread potential for growth-factor-driven resistance to anticancer kinase inhibitors.广泛存在生长因子驱动的抗癌症激酶抑制剂耐药性的潜力。
Nature. 2012 Jul 26;487(7408):505-9. doi: 10.1038/nature11249.
6
Tumour micro-environment elicits innate resistance to RAF inhibitors through HGF secretion.肿瘤微环境通过分泌 HGF 引发对 RAF 抑制剂的先天抵抗。
Nature. 2012 Jul 26;487(7408):500-4. doi: 10.1038/nature11183.
7
The molecular evolution of acquired resistance to targeted EGFR blockade in colorectal cancers.结直肠癌中针对 EGFR 阻断的获得性耐药的分子进化。
Nature. 2012 Jun 28;486(7404):537-40. doi: 10.1038/nature11219.
8
Emergence of KRAS mutations and acquired resistance to anti-EGFR therapy in colorectal cancer.结直肠癌中 KRAS 突变的出现和抗 EGFR 治疗的获得性耐药。
Nature. 2012 Jun 28;486(7404):532-6. doi: 10.1038/nature11156.
9
Whole-genome analysis informs breast cancer response to aromatase inhibition.全基因组分析揭示了乳腺癌对芳香酶抑制的反应。
Nature. 2012 Jun 10;486(7403):353-60. doi: 10.1038/nature11143.
10
Safety, activity, and immune correlates of anti-PD-1 antibody in cancer.抗 PD-1 抗体在癌症中的安全性、活性和免疫相关性。
N Engl J Med. 2012 Jun 28;366(26):2443-54. doi: 10.1056/NEJMoa1200690. Epub 2012 Jun 2.