• 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

在雌激素受体阳性乳腺癌的系统治疗背景下,在线预测工具能否有效替代基因谱分析?

Are online prediction tools a valid alternative to genomic profiling in the context of systemic treatment of ER-positive breast cancer?

作者信息

Wazir Umar, Mokbel Kinan, Carmichael Amtul, Mokbel Kefah

机构信息

The London Breast Institute, Princess Grace Hospital, 45 Nottingham Place, London, W1U 5NY UK.

出版信息

Cell Mol Biol Lett. 2017 Sep 4;22:20. doi: 10.1186/s11658-017-0049-x. eCollection 2017.

DOI:10.1186/s11658-017-0049-x
PMID:28878809
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5583984/
Abstract

BACKGROUND

Clinicians use clinical and pathological parameters, such as tumour size, grade and nodal status, to make decisions on adjuvant treatments for breast cancer. However, therapeutic decisions based on these features tend to vary due to their subjectivity. Computational and mathematical algorithms were developed using clinical outcome data from breast cancer registries, such as Adjuvant! Online and NHS PREDICT. More recently, assessments of molecular profiles have been applied in the development of better prognostic tools.

METHODS

Based on the available literature on online registry-based tools and genomic assays, we evaluated whether these online tools could be valid and accurate alternatives to genomic and molecular profiling of the individual breast tumour in aiding therapeutic decisions, particularly in patients with early ER-positive breast cancer.

RESULTS AND CONCLUSIONS

Early breast cancer is currently considered a systemic disease and a complex ecosystem with behaviour determined by the complex genetic and molecular signatures of the tumour cells, mammary stem cells, microenvironment and host immune system. We anticipate that molecular profiling will continue to evolve, expanding beyond the primary tumour to include the tumour microenvironment, cancer stem cells and host immune system. This should further refine therapeutic decisions and optimise clinical outcome. This article was specially invited by the editors and represents work by leading researchers.

摘要

背景

临床医生使用临床和病理参数,如肿瘤大小、分级和淋巴结状态,来做出乳腺癌辅助治疗的决策。然而,基于这些特征的治疗决策往往因主观性而有所不同。利用乳腺癌登记处的临床结果数据开发了计算和数学算法,如辅助在线工具(Adjuvant! Online)和英国国家医疗服务体系预测工具(NHS PREDICT)。最近,分子谱评估已应用于更好的预后工具的开发。

方法

基于有关基于在线登记处的工具和基因组检测的现有文献,我们评估了这些在线工具是否可以成为个体乳腺肿瘤基因组和分子谱分析的有效且准确的替代方法,以辅助治疗决策,特别是在早期雌激素受体阳性乳腺癌患者中。

结果与结论

早期乳腺癌目前被认为是一种全身性疾病和一个复杂的生态系统,其行为由肿瘤细胞、乳腺干细胞、微环境和宿主免疫系统的复杂基因和分子特征决定。我们预计分子谱分析将继续发展,从原发肿瘤扩展到包括肿瘤微环境、癌症干细胞和宿主免疫系统。这应能进一步优化治疗决策并改善临床结果。本文由编辑特邀撰写,代表了顶尖研究人员的工作。

相似文献

1
Are online prediction tools a valid alternative to genomic profiling in the context of systemic treatment of ER-positive breast cancer?在雌激素受体阳性乳腺癌的系统治疗背景下,在线预测工具能否有效替代基因谱分析?
Cell Mol Biol Lett. 2017 Sep 4;22:20. doi: 10.1186/s11658-017-0049-x. eCollection 2017.
2
Do online prognostication tools represent a valid alternative to genomic profiling in the context of adjuvant treatment of early breast cancer? A systematic review of the literature.在早期乳腺癌辅助治疗背景下,在线预后评估工具能否成为基因谱分析的有效替代方法?一项文献系统综述。
Am J Surg. 2018 Jan;215(1):171-178. doi: 10.1016/j.amjsurg.2017.05.006. Epub 2017 Jun 3.
3
Use of 70-gene signature to predict prognosis of patients with node-negative breast cancer: a prospective community-based feasibility study (RASTER).使用70基因特征预测淋巴结阴性乳腺癌患者的预后:一项基于社区的前瞻性可行性研究(RASTER)
Lancet Oncol. 2007 Dec;8(12):1079-1087. doi: 10.1016/S1470-2045(07)70346-7. Epub 2007 Nov 26.
4
bc-GenExMiner: an easy-to-use online platform for gene prognostic analyses in breast cancer.bc-GenExMiner:一个易于使用的在线平台,用于乳腺癌的基因预后分析。
Breast Cancer Res Treat. 2012 Feb;131(3):765-75. doi: 10.1007/s10549-011-1457-7. Epub 2011 Mar 31.
5
Genomics of adjuvant therapy for breast cancer.乳腺癌辅助治疗的基因组学。
Cancer J. 2011 Nov-Dec;17(6):500-4. doi: 10.1097/PPO.0b013e31823e5370.
6
Elucidating prognosis and biology of breast cancer arising in young women using gene expression profiling.利用基因表达谱阐明年轻女性乳腺癌的预后和生物学特性。
Clin Cancer Res. 2012 Mar 1;18(5):1341-51. doi: 10.1158/1078-0432.CCR-11-2599. Epub 2012 Jan 18.
7
Multigene prognostic tests in breast cancer: past, present, future.乳腺癌中的多基因预后检测:过去、现在与未来。
Breast Cancer Res. 2015 Jan 27;17(1):11. doi: 10.1186/s13058-015-0514-2.
8
Prognostic and predictive indicators in early-stage breast cancer and the role of genomic profiling: Focus on the Oncotype DX Breast Recurrence Score Assay.早期乳腺癌的预后和预测指标以及基因组分析的作用:聚焦Oncotype DX乳腺癌复发评分检测
Eur J Surg Oncol. 2017 May;43(5):921-930. doi: 10.1016/j.ejso.2016.11.016. Epub 2016 Dec 14.
9
Clinical utility of gene-expression signatures in early stage breast cancer.早期乳腺癌中基因表达谱的临床实用性。
Nat Rev Clin Oncol. 2017 Oct;14(10):595-610. doi: 10.1038/nrclinonc.2017.74. Epub 2017 May 31.
10
Integrating clinicopathologic and genomic tools in chemotherapy decision-making for early stage breast cancer.将临床病理和基因组工具整合到早期乳腺癌化疗决策中。
Future Oncol. 2017 Dec;13(28):2507-2510. doi: 10.2217/fon-2017-0452. Epub 2017 Nov 23.

引用本文的文献

1
A comparative analysis of recurrence risk predictions in ER+/HER2- early breast cancer using NHS Nottingham Prognostic Index, PREDICT, and CanAssist Breast.使用 NHS 诺丁汉预后指数、PREDICT 和 CanAssist Breast 对 ER+/HER2- 早期乳腺癌的复发风险预测进行比较分析。
Breast Cancer Res Treat. 2022 Nov;196(2):299-310. doi: 10.1007/s10549-022-06729-7. Epub 2022 Sep 10.
2
Stratification Using hTERT and Stem Cell Markers Confers a Good Prognosis in Invasive Breast Cancer.使用端粒酶和干细胞标志物进行分层可改善浸润性乳腺癌的预后。
Cancer Genomics Proteomics. 2020 Mar-Apr;17(2):169-174. doi: 10.21873/cgp.20177.
3
Clinical Decision Support Systems in Breast Cancer: A Systematic Review.乳腺癌临床决策支持系统:一项系统综述。
Cancers (Basel). 2020 Feb 6;12(2):369. doi: 10.3390/cancers12020369.
4
Panoptic View of Prognostic Models for Personalized Breast Cancer Management.个性化乳腺癌管理预后模型全景视图
Cancers (Basel). 2019 Sep 7;11(9):1325. doi: 10.3390/cancers11091325.
5
Correlation of and Stem Cell Markers in the Context of Human Breast Cancer.和干细胞标志物在人乳腺癌中的相关性。
Cancer Genomics Proteomics. 2019 Mar-Apr;16(2):121-127. doi: 10.21873/cgp.20117.

本文引用的文献

1
Internet tools to enhance breast cancer care.用于改善乳腺癌护理的互联网工具。
NPJ Breast Cancer. 2016 Apr 27;2:16011. doi: 10.1038/npjbcancer.2016.11. eCollection 2016.
2
Algorithms for prediction of the Oncotype DX recurrence score using clinicopathologic data: a review and comparison using an independent dataset.使用临床病理数据预测Oncotype DX复发评分的算法:一项使用独立数据集的综述与比较
Breast Cancer Res Treat. 2017 Feb;162(1):1-10. doi: 10.1007/s10549-016-4093-4. Epub 2017 Jan 7.
3
Early dissemination seeds metastasis in breast cancer.早期播散种子导致乳腺癌转移。
Nature. 2016 Dec 22;540(7634):552-558. doi: 10.1038/nature20785. Epub 2016 Dec 14.
4
70-Gene Signature as an Aid to Treatment Decisions in Early-Stage Breast Cancer.70 基因特征作为早期乳腺癌治疗决策的辅助手段。
N Engl J Med. 2016 Aug 25;375(8):717-29. doi: 10.1056/NEJMoa1602253.
5
Comparison of EndoPredict and EPclin With Oncotype DX Recurrence Score for Prediction of Risk of Distant Recurrence After Endocrine Therapy.比较EndoPredict和EPclin与Oncotype DX复发评分在预测内分泌治疗后远处复发风险方面的效果
J Natl Cancer Inst. 2016 Jul 10;108(11). doi: 10.1093/jnci/djw149. Print 2016 Nov.
6
Use of Biomarkers to Guide Decisions on Adjuvant Systemic Therapy for Women With Early-Stage Invasive Breast Cancer: American Society of Clinical Oncology Clinical Practice Guideline.利用生物标志物指导早期浸润性乳腺癌女性辅助性全身治疗决策:美国临床肿瘤学会临床实践指南
J Clin Oncol. 2016 Apr 1;34(10):1134-50. doi: 10.1200/JCO.2015.65.2289. Epub 2016 Feb 8.
7
Evolutionary determinants of cancer.癌症的进化决定因素。
Cancer Discov. 2015 Aug;5(8):806-20. doi: 10.1158/2159-8290.CD-15-0439. Epub 2015 Jul 20.
8
The predictive accuracy of PREDICT: a personalized decision-making tool for Southeast Asian women with breast cancer.PREDICT的预测准确性:一种用于东南亚乳腺癌女性的个性化决策工具。
Medicine (Baltimore). 2015 Feb;94(8):e593. doi: 10.1097/MD.0000000000000593.
9
Emerging gene-based prognostic tools in early breast cancer: First steps to personalised medicine.早期乳腺癌中新兴的基于基因的预后工具:迈向个性化医疗的第一步。
World J Clin Oncol. 2014 Dec 10;5(5):795-9. doi: 10.5306/wjco.v5.i5.795.
10
Chemosensitivity predicted by BluePrint 80-gene functional subtype and MammaPrint in the Prospective Neoadjuvant Breast Registry Symphony Trial (NBRST).在前瞻性新辅助乳腺癌注册研究交响乐试验(NBRST)中,由Blueprint 80基因功能亚型和MammaPrint预测的化疗敏感性。
Ann Surg Oncol. 2014 Oct;21(10):3261-7. doi: 10.1245/s10434-014-3908-y. Epub 2014 Aug 7.