• 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

肿瘤大小能否预测在生物治疗时代新辅助化疗的反应?一项全美范围内的美国乳腺癌患者研究。

Does Tumor Size Predict Response to Neoadjuvant Chemotherapy in the Modern Era of Biologically Driven Treatment? A Nationwide Study of US Breast Cancer Patients.

机构信息

Division of Surgical Oncology, Department of Surgery, University of Wisconsin, Madison, WI; Wisconsin Institute for Surgical Outcomes Research, Department of Surgery, University of Wisconsin, Madison, WI.

Wisconsin Institute for Surgical Outcomes Research, Department of Surgery, University of Wisconsin, Madison, WI.

出版信息

Clin Breast Cancer. 2019 Dec;19(6):e741-e747. doi: 10.1016/j.clbc.2019.05.014. Epub 2019 Jun 6.

DOI:10.1016/j.clbc.2019.05.014
PMID:31300338
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6888946/
Abstract

BACKGROUND

Tumor size has historically been used to stage breast cancer and guide treatment recommendations. The importance of tumor biology in long-term outcomes is increasingly being acknowledged. No large studies have examined the relative roles of tumor size and receptor status on response to neoadjuvant chemotherapy (NAC) in breast cancer.

PATIENTS AND METHODS

The National Cancer Database was queried for women who underwent NAC and surgery for unilateral clinical stage I to III (cT1-3) invasive breast cancer from 2010 to 2013. Multivariable logistic regression models were used to assess the relation between receptor status, tumor size, and pathologic complete response (pCR) while controlling for other biologic, sociodemographic, diagnosis, and treatment factors.

RESULTS

We included 38,864 women in this study, most presented with cT2 disease (55%). Patients predominantly had estrogen receptor (ER)/progesterone receptor (PR)-positive (ER/PR) HER2 (45%) or ER/PR HER2 (28%) disease. Nineteen percent (7432 patients) had a pCR. cT3 (odds ratio [OR], 0.64; 95% confidence interval [CI], 0.59-0.70) but not cT2 cancers (OR, 0.95; 95% CI, 0.89-1.02) were associated with lower pCR rates compared with cT1 disease. HER2 (ER/PR HER2: OR, 2.94; 95% CI, 2.72-3.18; ER/PR HER2: OR, 6.45; 95% CI, 5.92-7.02) and ER/PR HER2 cancers (OR, 3.94; 95% CI, 3.68-4.22) were more likely to experience pCR than those with ER/PR HER2 cancers. Receptor status was more strongly associated with pCR than tumor size.

CONCLUSION

Tumor size is independently associated with pCR after NAC after controlling for receptor status, although the effect of receptor status is stronger. These data reinforce the importance of receptor status as well as tumor size, each of which might act as surrogates for tumor biology, in setting expectations for outcomes in patients who undergo NAC.

摘要

背景

肿瘤大小一直被用于分期乳腺癌并指导治疗建议。肿瘤生物学在长期预后中的重要性日益得到认可。目前尚无大型研究探讨肿瘤大小和受体状态对乳腺癌新辅助化疗(NAC)反应的相对作用。

方法

本研究利用国家癌症数据库,检索了 2010 年至 2013 年期间接受单侧临床 I 期至 III 期(cT1-3)浸润性乳腺癌 NAC 及手术治疗的女性患者。采用多变量逻辑回归模型,在控制其他生物学、社会人口统计学、诊断和治疗因素的情况下,评估受体状态、肿瘤大小与病理完全缓解(pCR)之间的关系。

结果

本研究共纳入 38864 例女性患者,多数为 cT2 疾病(55%)。患者主要为雌激素受体(ER)/孕激素受体(PR)阳性(ER/PR)HER2(45%)或 ER/PR HER2(28%)疾病。19%(7432 例)患者获得 pCR。与 cT1 疾病相比,cT3(比值比 [OR],0.64;95%置信区间 [CI],0.59-0.70)而不是 cT2 癌症(OR,0.95;95%CI,0.89-1.02)与较低的 pCR 率相关。与 ER/PR HER2 阳性癌症(OR,2.94;95%CI,2.72-3.18;ER/PR HER2 阳性癌症:OR,6.45;95%CI,5.92-7.02)相比,HER2(ER/PR HER2 阳性癌症:OR,2.94;95%CI,2.72-3.18;ER/PR HER2 阳性癌症:OR,6.45;95%CI,5.92-7.02)和 ER/PR HER2 阳性癌症(OR,3.94;95%CI,3.68-4.22)更有可能获得 pCR。受体状态与 pCR 的相关性强于肿瘤大小。

结论

在控制受体状态后,肿瘤大小与 NAC 后 pCR 独立相关,尽管受体状态的影响更强。这些数据进一步证实了受体状态和肿瘤大小的重要性,两者均可能作为肿瘤生物学的替代指标,为接受 NAC 的患者设定预后期望。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e492/6888946/8a446dea6e1f/nihms-1531139-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e492/6888946/8a446dea6e1f/nihms-1531139-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e492/6888946/8a446dea6e1f/nihms-1531139-f0001.jpg

相似文献

1
Does Tumor Size Predict Response to Neoadjuvant Chemotherapy in the Modern Era of Biologically Driven Treatment? A Nationwide Study of US Breast Cancer Patients.肿瘤大小能否预测在生物治疗时代新辅助化疗的反应?一项全美范围内的美国乳腺癌患者研究。
Clin Breast Cancer. 2019 Dec;19(6):e741-e747. doi: 10.1016/j.clbc.2019.05.014. Epub 2019 Jun 6.
2
Retrospective analysis of neoadjuvant chemotherapy for breast cancer in Turkish patients.土耳其患者乳腺癌新辅助化疗的回顾性分析。
Asian Pac J Cancer Prev. 2012;13(8):4119-23.
3
Impact of Neoadjuvant Chemotherapy on Nodal Disease and Nodal Surgery by Tumor Subtype.新辅助化疗对肿瘤亚型的淋巴结疾病和淋巴结手术的影响。
Ann Surg Oncol. 2018 Feb;25(2):482-493. doi: 10.1245/s10434-017-6263-y. Epub 2017 Nov 27.
4
The Prognostic Effect of Changes in Tumor Stage and Nodal Status After Neoadjuvant Chemotherapy in Each Primary Breast Cancer Subtype.新辅助化疗后每个原发性乳腺癌亚型肿瘤分期和淋巴结状态变化的预后影响。
Clin Breast Cancer. 2018 Apr;18(2):e219-e229. doi: 10.1016/j.clbc.2017.09.013. Epub 2017 Oct 3.
5
Triple-Positive Breast Carcinoma: Histopathologic Features and Response to Neoadjuvant Chemotherapy.三阳型乳腺癌:组织病理学特征及新辅助化疗的反应。
Arch Pathol Lab Med. 2021 Jun 1;145(6):728-735. doi: 10.5858/arpa.2020-0293-OA.
6
Common and discriminative clinicopathological features between breast cancers with pathological complete response or progressive disease in response to neoadjuvant chemotherapy.新辅助化疗后病理完全缓解或疾病进展的乳腺癌的常见和鉴别临床病理特征。
J Cancer Res Clin Oncol. 2010 Feb;136(2):233-41. doi: 10.1007/s00432-009-0654-9. Epub 2009 Aug 14.
7
Standard Pathologic Features Can Be Used to Identify a Subset of Estrogen Receptor-Positive, HER2 Negative Patients Likely to Benefit from Neoadjuvant Chemotherapy.标准的病理特征可用于识别雌激素受体阳性、HER2 阴性患者亚组,这些患者可能从新辅助化疗中获益。
Ann Surg Oncol. 2017 Sep;24(9):2556-2562. doi: 10.1245/s10434-017-5898-z. Epub 2017 May 30.
8
Neoadjuvant Chemotherapy and Pathologic Complete Response in HR+/HER2- Breast Cancer: Impact of Tumor Ki67 and ER Status.激素受体阳性/人表皮生长因子受体 2 阴性乳腺癌的新辅助化疗与病理完全缓解:肿瘤 Ki67 和 ER 状态的影响。
Chemotherapy. 2024;69(3):141-149. doi: 10.1159/000537874. Epub 2024 Feb 16.
9
MRI staging after neoadjuvant chemotherapy for breast cancer: does tumor biology affect accuracy?乳腺癌新辅助化疗后 MRI 分期:肿瘤生物学是否影响准确性?
Ann Surg Oncol. 2011 Oct;18(11):3149-54. doi: 10.1245/s10434-011-1912-z. Epub 2011 Sep 27.
10
Evaluation of changes of biologic markers ER, PR, HER 2 and Ki-67 in breast cancer with administration of neoadjuvant dose-dense doxorubicin, cyclophosphamide followed by paclitaxel.新辅助剂量密集阿霉素、环磷酰胺序贯紫杉醇治疗乳腺癌时生物标志物ER、PR、HER 2和Ki-67变化的评估
J BUON. 2013 Jan-Mar;18(1):57-63.

引用本文的文献

1
Survival Benefits and Less Intensive Treatment for Women with Early-Stage Breast Cancer Diagnosed While Participating in Population-Based Screening.参与人群筛查时被诊断为早期乳腺癌的女性的生存获益及低强度治疗
Ann Surg Oncol. 2025 Jul 25. doi: 10.1245/s10434-025-17845-1.
2
Genomic and transcriptomic profiling of pre- and postneoadjuvant chemotherapy triple negative breast cancer tumors.新辅助化疗前后三阴性乳腺癌肿瘤的基因组和转录组分析
Cancer Sci. 2024 Dec;115(12):3928-3942. doi: 10.1111/cas.16339. Epub 2024 Oct 7.
3
Tumor enhancement and shrinkage pattern in dynamic contrast-enhanced magnetic resonance imaging for predicting pathologic complete response after human epidermal growth factor receptor 2 (HER2)-targeted therapy in breast cancer.

本文引用的文献

1
Axillary Pathologic Complete Response to Neoadjuvant Chemotherapy in Clinically Node-Positive Breast Cancer Patients: A Predictive Model Integrating the Imaging Characteristics of Ultrasound Restaging with Known Clinicopathologic Characteristics.临床淋巴结阳性乳腺癌患者新辅助化疗腋窝病理完全缓解:整合超声再分期的影像学特征与已知临床病理特征的预测模型。
Ultrasound Med Biol. 2019 Mar;45(3):702-709. doi: 10.1016/j.ultrasmedbio.2018.10.026. Epub 2018 Dec 17.
2
Trastuzumab Emtansine for Residual Invasive HER2-Positive Breast Cancer.曲妥珠单抗-美坦新偶联物用于治疗残留浸润性 HER2 阳性乳腺癌。
N Engl J Med. 2019 Feb 14;380(7):617-628. doi: 10.1056/NEJMoa1814017. Epub 2018 Dec 5.
3
动态对比增强磁共振成像中肿瘤强化及缩小模式用于预测乳腺癌人表皮生长因子受体2(HER2)靶向治疗后的病理完全缓解
Quant Imaging Med Surg. 2024 Sep 1;14(9):6734-6744. doi: 10.21037/qims-24-447. Epub 2024 Aug 19.
4
Comprehensive evaluation of the relationship between biomarker profiles and neoadjuvant chemotherapy outcomes for breast cancer patients.综合评估生物标志物谱与乳腺癌患者新辅助化疗疗效的关系。
Diagn Pathol. 2024 Mar 20;19(1):53. doi: 10.1186/s13000-024-01451-y.
5
Machine learning prediction of pathological complete response and overall survival of breast cancer patients in an underserved inner-city population.机器学习预测服务不足的市中心内城人群中乳腺癌患者的病理完全缓解和总生存期。
Breast Cancer Res. 2024 Jan 10;26(1):7. doi: 10.1186/s13058-023-01762-w.
6
Expression of Soluble Form of Aurora A as a Predictive Factor for Neoadjuvant Therapy in Breast Cancer Patients: A Single-Center Pilot Study.可溶性Aurora A作为乳腺癌患者新辅助治疗预测因子的表达:一项单中心初步研究
Cancers (Basel). 2023 Nov 16;15(22):5446. doi: 10.3390/cancers15225446.
7
Changing the role of pCR in breast cancer treatment - an unjustifiable interpretation of a good prognostic factor as a "factor for a good prognosis".改变pCR在乳腺癌治疗中的作用——将一个良好的预后因素不合理地解读为“良好预后的因素”。
Front Oncol. 2023 Jul 18;13:1207948. doi: 10.3389/fonc.2023.1207948. eCollection 2023.
8
Exploring the added value of pretherapeutic MR descriptors in predicting breast cancer pathologic complete response to neoadjuvant chemotherapy.探讨治疗前磁共振描述符在预测乳腺癌新辅助化疗病理完全缓解方面的附加价值。
Eur Radiol. 2023 Nov;33(11):8142-8154. doi: 10.1007/s00330-023-09797-5. Epub 2023 Jun 15.
9
Development and Assessment of a Novel Core Biopsy-Based Prediction Model for Pathological Complete Response to Neoadjuvant Chemotherapy in Women with Breast Cancer.开发和评估一种基于核心活检的新型预测模型,用于预测乳腺癌女性新辅助化疗的病理完全缓解。
Int J Environ Res Public Health. 2023 Jan 16;20(2):1617. doi: 10.3390/ijerph20021617.
10
Surgical options of the breast and clinical outcomes of breast cancer patients after neoadjuvant chemotherapy: A single-center retrospective study.乳腺癌患者新辅助化疗后的乳房手术选择及临床结局:一项单中心回顾性研究。
Front Oncol. 2022 Oct 27;12:984587. doi: 10.3389/fonc.2022.984587. eCollection 2022.
Incorporating Biologic Factors into the American Joint Committee on Cancer Breast Cancer Staging System: Review of the Supporting Evidence.
将生物学因素纳入美国癌症联合委员会乳腺癌分期系统:支持证据的回顾。
Surg Clin North Am. 2018 Aug;98(4):687-702. doi: 10.1016/j.suc.2018.03.005. Epub 2018 May 21.
4
Circulating Tumor Cells in Breast Cancer Patients Treated by Neoadjuvant Chemotherapy: A Meta-analysis.新辅助化疗治疗的乳腺癌患者循环肿瘤细胞:荟萃分析。
J Natl Cancer Inst. 2018 Jun 1;110(6):560-567. doi: 10.1093/jnci/djy018.
5
A Predictive Model for Axillary Node Pathologic Complete Response after Neoadjuvant Chemotherapy for Breast Cancer.乳腺癌新辅助化疗后腋窝淋巴结病理完全缓解的预测模型。
Ann Surg Oncol. 2018 May;25(5):1304-1311. doi: 10.1245/s10434-018-6345-5. Epub 2018 Jan 24.
6
Improved Model for Predicting Axillary Response to Neoadjuvant Chemotherapy in Patients with Clinically Node-Positive Breast Cancer.预测临床淋巴结阳性乳腺癌患者新辅助化疗腋窝反应的改良模型
J Breast Cancer. 2017 Dec;20(4):378-385. doi: 10.4048/jbc.2017.20.4.378. Epub 2017 Dec 19.
7
Evaluation of Discordance in Primary Tumor and Lymph Node Response After Neoadjuvant Therapy in Breast Cancer.乳腺癌新辅助治疗后原发灶和淋巴结反应不一致的评估。
Clin Breast Cancer. 2018 Apr;18(2):e255-e261. doi: 10.1016/j.clbc.2017.11.016. Epub 2017 Nov 23.
8
Adjuvant Capecitabine for Breast Cancer after Preoperative Chemotherapy.卡培他滨辅助治疗新辅助化疗后的乳腺癌。
N Engl J Med. 2017 Jun 1;376(22):2147-2159. doi: 10.1056/NEJMoa1612645.
9
Preoperative Prediction of Node-Negative Disease After Neoadjuvant Chemotherapy in Patients Presenting with Node-Negative or Node-Positive Breast Cancer.新辅助化疗后原发灶阴性或阳性乳腺癌患者的阴性淋巴结疾病术前预测。
Ann Surg Oncol. 2017 Sep;24(9):2518-2525. doi: 10.1245/s10434-017-5872-9. Epub 2017 May 8.
10
Clinical tumor stage is the most important predictor of pathological complete response rate after neoadjuvant chemotherapy in breast cancer patients.临床肿瘤分期是乳腺癌患者新辅助化疗后病理完全缓解率的最重要预测指标。
Breast Cancer Res Treat. 2017 May;163(1):83-91. doi: 10.1007/s10549-017-4155-2. Epub 2017 Feb 15.