• 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

PAM50 复发风险评分可预测丹麦绝经后激素受体阳性早期乳腺癌女性内分泌治疗 5 年后 10 年远处复发的风险。

PAM50 Risk of Recurrence Score Predicts 10-Year Distant Recurrence in a Comprehensive Danish Cohort of Postmenopausal Women Allocated to 5 Years of Endocrine Therapy for Hormone Receptor-Positive Early Breast Cancer.

机构信息

Anne-Vibeke Lænkholm, Jens Ole Eriksen, and Torben Kibøl, Zealand University Hospital, Slagelse; Maj-Britt Jensen, Ann S. Knoop, Maj-Lis Møller Talman, and Bent Ejlertsen, Rigshospitalet, Copenhagen; Birgitte Bruun Rasmussen, Herlev Hospital, Herlev; Anne Marie Bak Jylling, Odense University Hospital, Odense; Tomasz Piotr Tabor, Vejle Hospital, Vejle, Denmark; Wesley Buckingham, Sean Ferree, Carl Schaper, and Taryn Haffner, NanoString Technologies, Seattle, WA; and Torsten O. Nielsen, University of British Columbia, Vancouver, British Columbia, Canada.

出版信息

J Clin Oncol. 2018 Mar 10;36(8):735-740. doi: 10.1200/JCO.2017.74.6586. Epub 2018 Jan 25.

DOI:10.1200/JCO.2017.74.6586
PMID:29369732
Abstract

Purpose The PAM50-based Prosigna risk of recurrence (ROR) score has been validated in randomized clinical trials to predict 10-year distant recurrence (DR). The value of Prosigna for predicting DR was examined in a comprehensive nationwide Danish cohort consisting of postmenopausal women with hormone receptor-positive early breast cancer treated with 5 years of endocrine therapy alone. Patients and Methods Using the population-based Danish Breast Cancer Cooperative Group database, follow-up data were collected on all patients diagnosed from 2000 through 2003 who, by nationwide guidelines, were treated with endocrine therapy for 5 years. Primary tumor blocks from 2,740 patients were tested with Prosigna and, after determination of human epidermal growth factor receptor 2 (HER2) status, data from 2,558 hormone receptor-positive/HER2-negative samples were analyzed, including 1,395 node-positive patients. Fine and Gray models were applied to determine the prognostic value of ROR for DR. Results Median follow-up for recurrence was 9.2 years. Twenty-six percent of the node-positive patients were classified as low ROR (n = 359) with a DR risk of 3.5% (95% confidence interval [CI], 1.9% to 6.1%) versus a DR risk of 22.1% (95% CI, 18.6% to 25.8%) at 10 years for patients classified as high ROR (n = 648). Node-negative patients classified as low and high ROR had a risk of DR of 5.0% (95% CI, 2.9% to 8.0%) and 17.8% (95% CI, 14.0% to 22.0%), respectively. Luminal B tumors (n = 947; DR risk, 18.4% [95% CI: 15.7% to 21.3%]) had a significantly worse outcome than luminal A tumors (n = 1,474,;DR risk, 7.6% [95% CI: 6.1% to 9.2%]; P < .001). Conclusion Prosigna ROR score improved the prediction of outcome in this nationwide Danish population. In a real-world setting, Prosigna can reliably identify node-negative patients and a significant proportion of patients with one to three positive nodes who can be spared treatment with adjuvant chemotherapy.

摘要

目的

基于 PAM50 的 Prosigna 复发风险 (ROR) 评分已在随机临床试验中得到验证,可预测 10 年远处复发 (DR)。本研究旨在全面考察 Prosigna 在丹麦全国激素受体阳性早期乳腺癌队列中的预测价值,该队列患者接受单纯内分泌治疗 5 年。

方法

使用基于人群的丹麦乳腺癌合作组数据库,收集了 2000 年至 2003 年期间诊断的所有患者的随访数据。根据全国指南,这些患者接受了 5 年的内分泌治疗。对 2740 例患者的原发性肿瘤块进行了 Prosigna 检测,在确定人表皮生长因子受体 2 (HER2) 状态后,对 2558 例激素受体阳性/HER2 阴性样本(包括 1395 例淋巴结阳性患者)的数据进行了分析。应用 Fine 和 Gray 模型确定 ROR 对 DR 的预后价值。

结果

中位随访时间为复发时间 9.2 年。26%的淋巴结阳性患者被分为低 ROR(n=359),10 年时 DR 风险为 3.5%(95%CI,1.9%至 6.1%),而高 ROR(n=648)患者的 DR 风险为 22.1%(95%CI,18.6%至 25.8%)。淋巴结阴性患者分为低和高 ROR 后,DR 风险分别为 5.0%(95%CI,2.9%至 8.0%)和 17.8%(95%CI,14.0%至 22.0%)。Luminal B 型肿瘤(n=947;DR 风险,18.4%[95%CI:15.7%至 21.3%])的结局明显差于 Luminal A 型肿瘤(n=1474;DR 风险,7.6%[95%CI:6.1%至 9.2%];P<.001)。

结论

在本丹麦全国人群中,Prosigna ROR 评分提高了对结局的预测。在实际环境中,Prosigna 可以可靠地识别淋巴结阴性患者和相当比例的 1 至 3 个阳性淋巴结患者,使这些患者避免接受辅助化疗。

相似文献

1
PAM50 Risk of Recurrence Score Predicts 10-Year Distant Recurrence in a Comprehensive Danish Cohort of Postmenopausal Women Allocated to 5 Years of Endocrine Therapy for Hormone Receptor-Positive Early Breast Cancer.PAM50 复发风险评分可预测丹麦绝经后激素受体阳性早期乳腺癌女性内分泌治疗 5 年后 10 年远处复发的风险。
J Clin Oncol. 2018 Mar 10;36(8):735-740. doi: 10.1200/JCO.2017.74.6586. Epub 2018 Jan 25.
2
The ability of PAM50 risk of recurrence score to predict 10-year distant recurrence in hormone receptor-positive postmenopausal women with special histological subtypes.PAM50复发风险评分预测激素受体阳性绝经后特殊组织学亚型女性10年远处复发的能力。
Acta Oncol. 2018 Jan;57(1):44-50. doi: 10.1080/0284186X.2017.1403044. Epub 2017 Dec 4.
3
Population-based Study of Prosigna-PAM50 and Outcome Among Postmenopausal Women With Estrogen Receptor-positive and HER2-negative Operable Invasive Lobular or Ductal Breast Cancer.基于人群的Prosigna-PAM50研究及雌激素受体阳性、人表皮生长因子受体2阴性的可手术浸润性小叶或导管性绝经后乳腺癌患者的预后
Clin Breast Cancer. 2020 Aug;20(4):e423-e432. doi: 10.1016/j.clbc.2020.01.013. Epub 2020 Feb 4.
4
Predicting distant recurrence in receptor-positive breast cancer patients with limited clinicopathological risk: using the PAM50 Risk of Recurrence score in 1478 postmenopausal patients of the ABCSG-8 trial treated with adjuvant endocrine therapy alone.预测受体阳性乳腺癌患者中具有有限临床病理风险的远处复发:在 ABCSG-8 试验中,对单独接受辅助内分泌治疗的 1478 例绝经后患者使用 PAM50 复发风险评分。
Ann Oncol. 2014 Feb;25(2):339-45. doi: 10.1093/annonc/mdt494. Epub 2013 Dec 16.
5
Prognostic value of PAM50 and risk of recurrence score in patients with early-stage breast cancer with long-term follow-up.PAM50 和复发风险评分在长期随访的早期乳腺癌患者中的预后价值。
Breast Cancer Res. 2017 Nov 14;19(1):120. doi: 10.1186/s13058-017-0911-9.
6
Identifying clinically relevant prognostic subgroups of postmenopausal women with node-positive hormone receptor-positive early-stage breast cancer treated with endocrine therapy: a combined analysis of ABCSG-8 and ATAC using the PAM50 risk of recurrence score and intrinsic subtype.识别接受内分泌治疗的绝经后激素受体阳性早期乳腺癌淋巴结阳性患者的临床相关预后亚组:使用 PAM50 复发风险评分和内在亚型对 ABCSG-8 和 ATAC 进行联合分析。
Ann Oncol. 2015 Aug;26(8):1685-91. doi: 10.1093/annonc/mdv215. Epub 2015 May 1.
7
The PAM50 risk-of-recurrence score predicts risk for late distant recurrence after endocrine therapy in postmenopausal women with endocrine-responsive early breast cancer.PAM50 复发风险评分可预测绝经后激素受体阳性早期乳腺癌内分泌治疗后晚期远处复发风险。
Clin Cancer Res. 2014 Mar 1;20(5):1298-305. doi: 10.1158/1078-0432.CCR-13-1845. Epub 2014 Feb 11.
8
Prediction of late distant recurrence after 5 years of endocrine treatment: a combined analysis of patients from the Austrian breast and colorectal cancer study group 8 and arimidex, tamoxifen alone or in combination randomized trials using the PAM50 risk of recurrence score.内分泌治疗 5 年后远处复发的预测:使用 PAM50 复发风险评分对奥地利乳腺癌和结直肠癌研究组 8 号和阿那曲唑、他莫昔芬单独或联合随机试验患者的联合分析。
J Clin Oncol. 2015 Mar 10;33(8):916-22. doi: 10.1200/JCO.2014.55.6894. Epub 2014 Oct 20.
9
Limitations in predicting PAM50 intrinsic subtype and risk of relapse score with Ki67 in estrogen receptor-positive HER2-negative breast cancer.雌激素受体阳性、人表皮生长因子受体2阴性乳腺癌中,利用Ki67预测PAM50内在亚型及复发风险评分的局限性。
Oncotarget. 2017 Mar 28;8(13):21930-21937. doi: 10.18632/oncotarget.15748.
10
Prognostic ability of EndoPredict compared to research-based versions of the PAM50 risk of recurrence (ROR) scores in node-positive, estrogen receptor-positive, and HER2-negative breast cancer. A GEICAM/9906 sub-study.与基于研究的PAM50复发风险(ROR)评分版本相比,EndoPredict在淋巴结阳性、雌激素受体阳性且人表皮生长因子受体2阴性乳腺癌中的预后预测能力。一项GEICAM/9906子研究。
Breast Cancer Res Treat. 2016 Feb;156(1):81-9. doi: 10.1007/s10549-016-3725-z. Epub 2016 Feb 24.

引用本文的文献

1
Luminal and Basal Subtypes Across Carcinomas: Molecular Programs Beyond Tissue of Origin.跨癌种的管腔型和基底型亚型:超越组织起源的分子程序
Cancers (Basel). 2025 Aug 21;17(16):2720. doi: 10.3390/cancers17162720.
2
Impact of the Prosigna assay on neoadjuvant treatment decision-making in patients with early-stage HR-positive/HER2-negative breast cancer: a single-center prospective observational study.Prosigna检测对早期激素受体阳性/人表皮生长因子受体2阴性乳腺癌患者新辅助治疗决策的影响:一项单中心前瞻性观察研究
ESMO Open. 2025 Jul 25;10(8):105521. doi: 10.1016/j.esmoop.2025.105521.
3
Machine learning combined with multi-omics to identify immune-related LncRNA signature as biomarkers for predicting breast cancer prognosis.
机器学习结合多组学技术以识别免疫相关长链非编码RNA特征作为预测乳腺癌预后的生物标志物。
Sci Rep. 2025 Jul 4;15(1):23863. doi: 10.1038/s41598-025-10186-9.
4
Proteomics in Diagnostic Evaluation and Treatment of Breast Cancer: A Scoping Review.蛋白质组学在乳腺癌诊断评估与治疗中的应用:一项范围综述
J Pers Med. 2025 Apr 27;15(5):177. doi: 10.3390/jpm15050177.
5
Development and validation of a 10-gene signature for predicting recurrence risk in HR+/HER2- early breast cancer undergoing chemo-endocrine therapy.用于预测接受化疗-内分泌治疗的HR+/HER2-早期乳腺癌复发风险的10基因特征的开发与验证
Breast. 2025 Apr 24;82:104484. doi: 10.1016/j.breast.2025.104484.
6
Development and validation of a 14-CpG DNA methylation signature and drug targets for prognostic prediction in breast cancer.用于乳腺癌预后预测的14个CpG DNA甲基化特征及药物靶点的开发与验证
Front Med (Lausanne). 2025 Mar 19;12:1548726. doi: 10.3389/fmed.2025.1548726. eCollection 2025.
7
Clinicopathological and molecular features of HR /HER2 breast cancer patients with distinct endocrine resistance patterns.具有不同内分泌抵抗模式的HR/HER2乳腺癌患者的临床病理及分子特征
Chin J Cancer Res. 2025 Jan 30;37(1):48-65. doi: 10.21147/j.issn.1000-9604.2025.01.04.
8
Prosigna Risk of Recurrence score and intrinsic subtypes are associated with adjuvant anthracycline chemotherapy benefit in high-risk breast cancer.Prosigna复发风险评分和内在亚型与高危乳腺癌辅助蒽环类化疗获益相关。
NPJ Breast Cancer. 2025 Mar 10;11(1):26. doi: 10.1038/s41523-025-00738-7.
9
Validation of the CTS5 in four prospective, multicenter, randomized ABCSG trials.CTS5在四项前瞻性、多中心、随机的ABCSG试验中的验证。
Breast. 2025 Apr;80:104415. doi: 10.1016/j.breast.2025.104415. Epub 2025 Feb 19.
10
Gene expression profiling tests to guide adjuvant chemotherapy decisions in lymph node-positive early breast cancer: a systematic review.指导淋巴结阳性早期乳腺癌辅助化疗决策的基因表达谱检测:一项系统评价
Breast Cancer Res Treat. 2025 Apr;210(2):229-247. doi: 10.1007/s10549-024-07596-0. Epub 2025 Feb 3.