• 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

我们如何将乳腺癌细胞休眠的生物学特性融入临床实践?

How can we integrate the biology of breast cancer cell dormancy into clinical practice?

机构信息

Gerald Bronfman Department of Oncology, McGill University, Montreal, QC, Canada; Lady Davis Institute, Sir Mortimer B. Davis Jewish General Hospital, Montreal, QC, Canada; Montreal Clinical Research Institute (IRCM), Montreal, QC, Canada; Molecular Biology Programs, Université de Montréal, Montreal, QC, Canada.

Gerald Bronfman Department of Oncology, McGill University, Montreal, QC, Canada; Lady Davis Institute, Sir Mortimer B. Davis Jewish General Hospital, Montreal, QC, Canada.

出版信息

Cancer Cell. 2024 Jul 8;42(7):1147-1151. doi: 10.1016/j.ccell.2024.05.023. Epub 2024 Jun 20.

DOI:10.1016/j.ccell.2024.05.023
PMID:38906154
Abstract

Clinical practice and clinical research heavily rely on primary tumors, circulating tumor DNA, and/or overt metastases as sources of material for predicting or investigating breast cancer metastatic relapses. However, these approaches do not consider emerging fundamentals in the biology of metastatic dormancy and relapse. Conversely, the field of metastatic dormancy often discounts key clinical factors influencing relapse dynamics (e.g., patient's age and overall health condition). Here, we delineate these disparities into four gaps and propose a framework to bridge them.

摘要

临床实践和临床研究主要依赖原发性肿瘤、循环肿瘤 DNA 和/或明显转移作为预测或研究乳腺癌转移复发的材料来源。然而,这些方法并未考虑转移休眠和复发生物学中的新兴基础。相反,转移休眠领域通常忽略了影响复发动态的关键临床因素(例如,患者的年龄和整体健康状况)。在这里,我们将这些差异划分为四个差距,并提出了一个框架来弥合这些差距。

相似文献

1
How can we integrate the biology of breast cancer cell dormancy into clinical practice?我们如何将乳腺癌细胞休眠的生物学特性融入临床实践?
Cancer Cell. 2024 Jul 8;42(7):1147-1151. doi: 10.1016/j.ccell.2024.05.023. Epub 2024 Jun 20.
2
Long non-coding NR2F1-AS1 is associated with tumor recurrence in estrogen receptor-positive breast cancers.长链非编码 NR2F1-AS1 与雌激素受体阳性乳腺癌的肿瘤复发相关。
Mol Oncol. 2020 Sep;14(9):2271-2287. doi: 10.1002/1878-0261.12704. Epub 2020 Jun 8.
3
A quantitative insight into metastatic relapse of breast cancer.对乳腺癌转移复发的定量洞察。
J Theor Biol. 2016 Apr 7;394:172-181. doi: 10.1016/j.jtbi.2016.01.014. Epub 2016 Jan 19.
4
Inter-tumor genomic heterogeneity of breast cancers: comprehensive genomic profile of primary early breast cancers and relapses.乳腺癌的肿瘤间基因组异质性:原发性早期乳腺癌和复发的综合基因组特征。
Breast Cancer Res. 2020 Oct 15;22(1):107. doi: 10.1186/s13058-020-01345-z.
5
Mechanisms governing metastatic dormancy in breast cancer.乳腺癌转移休眠的调控机制。
Semin Cancer Biol. 2017 Jun;44:72-82. doi: 10.1016/j.semcancer.2017.03.006. Epub 2017 Mar 23.
6
Targeted next-generation sequencing assays using triplet samples of normal breast tissue, primary breast cancer, and recurrent/metastatic lesions.使用正常乳腺组织、原发性乳腺癌和复发性/转移性病变的三联体样本进行靶向下一代测序检测。
BMC Cancer. 2020 Oct 1;20(1):944. doi: 10.1186/s12885-020-07432-w.
7
Bmi-1, c-myc, and Snail expression in primary breast cancers and their metastases--elevated Bmi-1 expression in late breast cancer relapses.原发性乳腺癌及其转移灶中的 BMI-1、c-myc 和 Snail 表达——晚期乳腺癌复发中 BMI-1 表达升高。
Virchows Arch. 2011 Jul;459(1):31-9. doi: 10.1007/s00428-011-1096-8. Epub 2011 Jun 3.
8
How to Predict Metastasis in Luminal Breast Cancer? Current Solutions and Future Prospects.如何预测 Luminal 型乳腺癌的转移?当前的解决方案和未来的展望。
Int J Mol Sci. 2020 Nov 9;21(21):8415. doi: 10.3390/ijms21218415.
9
Circulating microRNAs in the early prediction of disease recurrence in primary breast cancer.循环 microRNAs 在原发性乳腺癌疾病复发的早期预测中的作用。
Breast Cancer Res. 2018 Jul 11;20(1):72. doi: 10.1186/s13058-018-1001-3.
10
Cellular dormancy in minimal residual disease following targeted therapy.靶向治疗后微小残留病灶中的细胞休眠。
Breast Cancer Res. 2021 Jun 4;23(1):63. doi: 10.1186/s13058-021-01416-9.

引用本文的文献

1
Bridging the Gap in Breast Cancer Dormancy: Models, Mechanisms, and Translational Challenges.弥合乳腺癌休眠的差距:模型、机制及转化挑战
Pharmaceuticals (Basel). 2025 Jun 26;18(7):961. doi: 10.3390/ph18070961.
2
Targeting the Dependence on PIK3C3-mTORC1 Signaling in Dormancy-Prone Breast Cancer Cells Blunts Metastasis Initiation.靶向易休眠乳腺癌细胞中对PIK3C3-mTORC1信号通路的依赖性可抑制转移起始。
Cancer Res. 2025 Jun 16;85(12):2179-2198. doi: 10.1158/0008-5472.CAN-23-2654.