Suppr超能文献

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。

Standard Pathologic Features Can Be Used to Identify a Subset of Estrogen Receptor-Positive, HER2 Negative Patients Likely to Benefit from Neoadjuvant Chemotherapy.

机构信息

Breast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.

Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

出版信息

Ann Surg Oncol. 2017 Sep;24(9):2556-2562. doi: 10.1245/s10434-017-5898-z. Epub 2017 May 30.

Abstract

BACKGROUND

The benefit of neoadjuvant chemotherapy (NAC) in patients with estrogen receptor-positive (ER+)/human epidermal growth factor receptor 2-negative (HER2-) breast cancers and in invasive lobular carcinoma (ILC) is uncertain due to the low rates of pathologic complete response (pCR).

OBJECTIVE

The aim of this study was to determine if pathologic features can identify subsets likely to benefit from NAC.

METHODS

Patients with stage I-III ER+, HER2- breast cancer receiving NAC were retrospectively reviewed. Endpoints were downstaging to breast-conserving surgery (BCS) and nodal pCR after NAC. Patients were grouped by progesterone receptor (PR) status and grade/differentiation (high grade or poor [HP] vs. non-HP).

RESULTS

From 2007 to 2016, 402 ER+/HER2- cancers in patients receiving NAC were identified. Median age was 50 years, 98% were clinical stage II-III, and 75% were cN+. Overall pCR rate was 5%; breast pCR in 7% and nodal pCR in 15% of cN+ patients (p < 0.0001). Patients with ILC initially ineligible for BCS (n = 56) were less likely to downstage than those with invasive ductal carcinoma (IDC; n = 183, 16 vs. 48%, p ≤ 0.0001), with a similar trend in the axilla (p = 0.086). The rates of BCS eligibility after NAC were highest in PR-/HP patients (62%) and lowest in PR+/non-HP patients (29%) [p = 0.005]. In the axilla, nodal pCR among cN+ patients (n = 301) ranged from 0 to 35% (p < 0.0001) within these groups, and was most frequent in PR-/HP patients.

CONCLUSIONS

ER+/HER2- patients most likely to benefit from NAC are those with PR- and HP tumors. Patients with ILC are unlikely to downstage in the breast or axilla compared with IDC. The use of these criteria can assist in defining the initial treatment approach.

摘要

背景

由于病理完全缓解(pCR)率较低,新辅助化疗(NAC)在雌激素受体阳性(ER+)/人表皮生长因子受体 2 阴性(HER2-)乳腺癌和浸润性小叶癌(ILC)患者中的获益尚不确定。

目的

本研究旨在确定病理特征是否可以确定可能从 NAC 中获益的亚组。

方法

回顾性分析接受 NAC 的 I-III 期 ER+、HER2-乳腺癌患者。终点是 NAC 后降期为保乳手术(BCS)和淋巴结 pCR。根据孕激素受体(PR)状态和分级/分化(高级别或差[HP]与非-HP)对患者进行分组。

结果

2007 年至 2016 年,共确定了 402 例接受 NAC 的 ER+/HER2-癌症患者。中位年龄为 50 岁,98%为临床 II-III 期,75%为 cN+。总体 pCR 率为 5%;7%的患者出现乳腺 pCR,15%的 cN+患者出现淋巴结 pCR(p<0.0001)。最初不符合 BCS 条件的 ILC 患者(n=56)比浸润性导管癌(IDC;n=183)更不可能降期(16%对 48%,p≤0.0001),腋窝的趋势相似(p=0.086)。NAC 后 BCS 适应证率最高的是 PR-/HP 患者(62%),最低的是 PR+/非-HP 患者(29%)[p=0.005]。在腋窝中,cN+患者(n=301)的淋巴结 pCR 率在这些组内从 0 到 35%(p<0.0001),PR-/HP 患者中最常见。

结论

最有可能从 NAC 中获益的 ER+/HER2-患者是那些具有 PR-和 HP 肿瘤的患者。与 IDC 相比,ILC 患者在乳腺或腋窝降期的可能性较小。这些标准的使用可以帮助确定初始治疗方法。

相似文献

2
Differences in Response and Surgical Management with Neoadjuvant Chemotherapy in Invasive Lobular Versus Ductal Breast Cancer.
Ann Surg Oncol. 2016 Jan;23(1):51-7. doi: 10.1245/s10434-015-4603-3. Epub 2015 May 16.
3
A Predictive Model for Axillary Node Pathologic Complete Response after Neoadjuvant Chemotherapy for Breast Cancer.
Ann Surg Oncol. 2018 May;25(5):1304-1311. doi: 10.1245/s10434-018-6345-5. Epub 2018 Jan 24.
8
Changes in ER, PR and HER2 receptors status after neoadjuvant chemotherapy in breast cancer.
Pathol Res Pract. 2013 Dec;209(12):797-802. doi: 10.1016/j.prp.2013.08.012. Epub 2013 Sep 26.
9
Lobular histology and response to neoadjuvant chemotherapy in invasive breast cancer.
Breast Cancer Res Treat. 2012 Nov;136(1):35-43. doi: 10.1007/s10549-012-2233-z. Epub 2012 Sep 8.

引用本文的文献

1
Research progress on estrogen receptor-positive/progesterone receptor-negative breast cancer.
Transl Oncol. 2025 Jun;56:102387. doi: 10.1016/j.tranon.2025.102387. Epub 2025 Apr 14.
6
Conventional Tools for Predicting Satisfactory Response to Neoadjuvant Chemotherapy in HR+/HER2- Breast Cancer Patients.
Breast Care (Basel). 2023 Oct;18(5):344-353. doi: 10.1159/000531117. Epub 2023 May 20.
7
Nodal pCR and overall survival following neoadjuvant chemotherapy for node positive ER+/Her2- breast cancer.
Breast Cancer Res Treat. 2024 Feb;203(3):419-428. doi: 10.1007/s10549-023-07152-2. Epub 2023 Oct 25.
8
Neoadjuvant systemic therapy for breast cancer.
Br J Surg. 2023 Jun 12;110(7):765-772. doi: 10.1093/bjs/znad103.
9
Do non-classic invasive lobular carcinomas derive a benefit from neoadjuvant chemotherapy?
Breast Cancer Res Treat. 2023 Jan;197(2):417-423. doi: 10.1007/s10549-022-06813-y. Epub 2022 Nov 17.
10
Molecular Mechanisms of Anti-Estrogen Therapy Resistance and Novel Targeted Therapies.
Cancers (Basel). 2022 Oct 24;14(21):5206. doi: 10.3390/cancers14215206.

本文引用的文献

2
Breast conservation following neoadjuvant therapy for breast cancer in the modern era: Are we losing the opportunity?
Eur J Surg Oncol. 2016 Dec;42(12):1780-1786. doi: 10.1016/j.ejso.2016.10.011. Epub 2016 Oct 29.
3
Biomarkers Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer.
Am J Clin Pathol. 2016 Jun;145(6):871-8. doi: 10.1093/ajcp/aqw045. Epub 2016 Jun 12.
5
Differences in Response and Surgical Management with Neoadjuvant Chemotherapy in Invasive Lobular Versus Ductal Breast Cancer.
Ann Surg Oncol. 2016 Jan;23(1):51-7. doi: 10.1245/s10434-015-4603-3. Epub 2015 May 16.
6
Sentinel node biopsy after neoadjuvant chemotherapy in biopsy-proven node-positive breast cancer: the SN FNAC study.
J Clin Oncol. 2015 Jan 20;33(3):258-64. doi: 10.1200/JCO.2014.55.7827. Epub 2014 Dec 1.
8
Pathological complete response and long-term clinical benefit in breast cancer: the CTNeoBC pooled analysis.
Lancet. 2014 Jul 12;384(9938):164-72. doi: 10.1016/S0140-6736(13)62422-8. Epub 2014 Feb 14.
9
Response and prognosis after neoadjuvant chemotherapy in 1,051 patients with infiltrating lobular breast carcinoma.
Breast Cancer Res Treat. 2014 Feb;144(1):153-62. doi: 10.1007/s10549-014-2861-6. Epub 2014 Feb 7.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验