• 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

PREDICT 2.1 结果的预先可获取性是否改变了 Oncotype DX 的检测实践?一项多中心前瞻性队列研究。

Does Pre-Emptive Availability of PREDICT 2.1 Results Change Ordering Practices for Oncotype DX? A Multi-Center Prospective Cohort Study.

机构信息

Division of Medical Oncology and Department of Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada.

Cancer Therapeutics Program, Ottawa Hospital Research Institute and Ottawa Hospital, Ottawa, ON K1H 8L6, Canada.

出版信息

Curr Oncol. 2024 Feb 27;31(3):1278-1290. doi: 10.3390/curroncol31030096.

DOI:10.3390/curroncol31030096
PMID:38534929
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10969492/
Abstract

For early-stage hormone receptor (HR)-positive and HER2-negative breast cancer, tools to estimate treatment benefit include free and publicly available algorithms (e.g., PREDICT 2.1) and expensive molecular assays (e.g., Oncotype DX). There remains a need to identify patients who de-rive the most benefit from molecular assays and where this test may be of poor value. In this multicenter prospective cohort study, we evaluated whether use of PREDICT 2.1 would impact physician decision making. For the first 6 months of the study, data on physician use of both PREDICT 2.1 and Oncotype DX ordering were collected on all newly diagnosed patients eligible for molecular testing. After 6 months, an educational intervention was undertaken to see if providing physicians with PREDICT 2.1 results affects the frequency of Oncotype DX requests. A total of 602 patients across six cancer centers in Ontario, Canada were recruited between March 2020 and November 2021. Providing PREDICT 2.1 results and an educational intervention did not alter the ordering of an Oncotype DX. For patients with low clinical risk, either by clinico-pathologic features or by PREDICT 2.1, the probability of obtaining a high Oncotype DX recurrence score was substantially lower compared to patients with high-clinical-risk disease. The introduction of an educational intervention had no impact on molecular assay requests. However, routine ordering of molecular assays for patients with low-clinical-risk disease is of poor value.

摘要

对于早期激素受体(HR)阳性和 HER2 阴性乳腺癌,评估治疗获益的工具包括免费且公开的算法(如 PREDICT 2.1)和昂贵的分子检测(如 Oncotype DX)。仍需要确定从分子检测中获益最多的患者,以及该检测可能价值较低的患者。在这项多中心前瞻性队列研究中,我们评估了使用 PREDICT 2.1 是否会影响医生的决策。在研究的前 6 个月,对所有符合分子检测条件的新诊断患者,收集了医生使用 PREDICT 2.1 和 Oncotype DX 检测的相关数据。在 6 个月后,开展了一项教育干预,以确定提供 PREDICT 2.1 检测结果是否会影响 Oncotype DX 请求的频率。2020 年 3 月至 2021 年 11 月,在加拿大安大略省的 6 个癌症中心共招募了 602 名患者。提供 PREDICT 2.1 结果和教育干预并没有改变 Oncotype DX 的检测顺序。对于临床低危患者(通过临床病理特征或 PREDICT 2.1 预测),与临床高危疾病患者相比,获得高 Oncotype DX 复发评分的可能性要低得多。引入教育干预对分子检测请求没有影响。然而,对于临床低危疾病患者,常规进行分子检测的价值较低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1118/10969492/cc9e2f0befc9/curroncol-31-00096-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1118/10969492/3e7749cf4bcf/curroncol-31-00096-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1118/10969492/fa50933ceb61/curroncol-31-00096-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1118/10969492/7a76d2e54768/curroncol-31-00096-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1118/10969492/cc9e2f0befc9/curroncol-31-00096-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1118/10969492/3e7749cf4bcf/curroncol-31-00096-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1118/10969492/fa50933ceb61/curroncol-31-00096-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1118/10969492/7a76d2e54768/curroncol-31-00096-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1118/10969492/cc9e2f0befc9/curroncol-31-00096-g004.jpg

相似文献

1
Does Pre-Emptive Availability of PREDICT 2.1 Results Change Ordering Practices for Oncotype DX? A Multi-Center Prospective Cohort Study.PREDICT 2.1 结果的预先可获取性是否改变了 Oncotype DX 的检测实践?一项多中心前瞻性队列研究。
Curr Oncol. 2024 Feb 27;31(3):1278-1290. doi: 10.3390/curroncol31030096.
2
Gene expression profiling for guiding adjuvant chemotherapy decisions in women with early breast cancer: an evidence-based and economic analysis.用于指导早期乳腺癌女性辅助化疗决策的基因表达谱分析:基于证据的经济分析
Ont Health Technol Assess Ser. 2010;10(23):1-57. Epub 2010 Dec 1.
3
Impact of Genomic Assay Testing and Clinical Factors on Chemotherapy Use After Implementation of Standardized Testing Criteria.基于基因组检测与临床因素对实施标准化检测标准后化疗应用的影响
Oncologist. 2019 May;24(5):595-602. doi: 10.1634/theoncologist.2018-0154. Epub 2018 Aug 3.
4
Does integration of Magee equations into routine clinical practice affect whether oncologists order the Oncotype DX test? A prospective randomized trial.将马吉方程整合到常规临床实践中是否会影响肿瘤学家开具Oncotype DX检测的情况?一项前瞻性随机试验。
J Eval Clin Pract. 2019 Apr;25(2):196-204. doi: 10.1111/jep.13094. Epub 2019 Jan 23.
5
Factors influencing Oncotype DX use in the management of early breast cancer: a single centre experience.影响Oncotype DX在早期乳腺癌管理中应用的因素:单中心经验
Eur J Cancer. 2014 Oct;50(15):2544-9. doi: 10.1016/j.ejca.2014.07.010. Epub 2014 Aug 13.
6
The impact of Oncotype DX testing on breast cancer management and chemotherapy prescribing patterns in a tertiary referral centre.Oncotype DX检测对三级转诊中心乳腺癌管理及化疗处方模式的影响。
Eur J Cancer. 2014 Nov;50(16):2763-70. doi: 10.1016/j.ejca.2014.08.002. Epub 2014 Sep 15.
7
Oncotype DX in breast cancer patients: clinical experience, outcome and follow-up-a case-control study.乳腺癌患者的Oncotype DX检测:临床经验、结果及随访——一项病例对照研究
Arch Gynecol Obstet. 2018 Feb;297(2):443-447. doi: 10.1007/s00404-017-4618-z. Epub 2017 Dec 13.
8
Results of PONDx, a prospective multicenter study of the Oncotype DX breast cancer assay: Real-life utilization and decision impact in French clinical practice.PONDx 研究结果:Oncotype DX 乳腺癌检测的前瞻性多中心研究:法国临床实践中的实际应用和决策影响。
Breast. 2019 Apr;44:39-45. doi: 10.1016/j.breast.2018.12.015. Epub 2019 Jan 3.
9
A cost-consequence model of using the 21-gene assay to identify patients with early-stage node-positive breast cancer who benefit from adjuvant chemotherapy in the Netherlands.使用 21 基因检测来识别荷兰早期淋巴结阳性乳腺癌患者中从辅助化疗中获益的患者的成本-后果模型。
J Med Econ. 2024 Jan-Dec;27(1):445-454. doi: 10.1080/13696998.2024.2324612. Epub 2024 Mar 12.
10
Can features evaluated in the routine pathologic assessment of lymph node-negative estrogen receptor-positive stage I or II invasive breast cancer be used to predict the Oncotype DX recurrence score?在常规病理评估中评估的淋巴结阴性、雌激素受体阳性的Ⅰ期或Ⅱ期浸润性乳腺癌的特征能否用于预测 Oncotype DX 复发评分?
Arch Pathol Lab Med. 2010 Nov;134(11):1697-701. doi: 10.5858/2009-0439-OAR.1.

引用本文的文献

1
The REthinking Clinical Trials Program Retreat 2023: Creating Partnerships to Optimize Quality Cancer Care.2023 年重新思考临床试验计划务虚会:建立合作关系以优化癌症护理质量。
Curr Oncol. 2024 Mar 6;31(3):1376-1388. doi: 10.3390/curroncol31030104.

本文引用的文献

1
Assessment of Ki67 in Breast Cancer: Updated Recommendations From the International Ki67 in Breast Cancer Working Group.乳腺癌中 Ki67 的评估:国际乳腺癌 Ki67 工作组的最新建议。
J Natl Cancer Inst. 2021 Jul 1;113(7):808-819. doi: 10.1093/jnci/djaa201.
2
Development and Validation of a Tool Integrating the 21-Gene Recurrence Score and Clinical-Pathological Features to Individualize Prognosis and Prediction of Chemotherapy Benefit in Early Breast Cancer.开发和验证一种整合 21 基因复发评分和临床病理特征的工具,以个体化早期乳腺癌的预后和化疗获益预测。
J Clin Oncol. 2021 Feb 20;39(6):557-564. doi: 10.1200/JCO.20.03007. Epub 2020 Dec 11.
3
Clinical and Genomic Risk to Guide the Use of Adjuvant Therapy for Breast Cancer.
临床和基因组风险指导乳腺癌辅助治疗的应用。
N Engl J Med. 2019 Jun 20;380(25):2395-2405. doi: 10.1056/NEJMoa1904819. Epub 2019 Jun 3.
4
Adjuvant Chemotherapy Guided by a 21-Gene Expression Assay in Breast Cancer.基于 21 基因表达检测的乳腺癌辅助化疗。
N Engl J Med. 2018 Jul 12;379(2):111-121. doi: 10.1056/NEJMoa1804710. Epub 2018 Jun 3.
5
A Comparison of the Performance of EndoPredict Clinical and NHS PREDICT in 120 Patients Treated for ER-positive Breast Cancer.120例雌激素受体阳性乳腺癌患者中EndoPredict Clinical与英国国家医疗服务体系(NHS)PREDICT性能比较
Anticancer Res. 2017 Dec;37(12):6863-6869. doi: 10.21873/anticanres.12148.
6
An updated PREDICT breast cancer prognostication and treatment benefit prediction model with independent validation.一种经过更新且具有独立验证的PREDICT乳腺癌预后及治疗获益预测模型。
Breast Cancer Res. 2017 May 22;19(1):58. doi: 10.1186/s13058-017-0852-3.
7
Oncotype DX breast cancer recurrence score can be predicted with a novel nomogram using clinicopathologic data.利用临床病理数据,通过一种新型列线图可以预测Oncotype DX乳腺癌复发评分。
Breast Cancer Res Treat. 2017 May;163(1):51-61. doi: 10.1007/s10549-017-4170-3. Epub 2017 Feb 27.
8
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.
9
A Validated Model for Identifying Patients Unlikely to Benefit From the 21-Gene Recurrence Score Assay.一种用于识别不太可能从21基因复发评分检测中获益的患者的验证模型。
Clin Breast Cancer. 2015 Dec;15(6):467-72. doi: 10.1016/j.clbc.2015.04.006. Epub 2015 Apr 23.
10
Prediction of late disease recurrence and extended adjuvant letrozole benefit by the HOXB13/IL17BR biomarker.HOXB13/IL17BR 生物标志物预测晚期疾病复发和延长辅助来曲唑获益。
J Natl Cancer Inst. 2013 Jul 17;105(14):1036-42. doi: 10.1093/jnci/djt146. Epub 2013 Jun 28.