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PAM50 预测 ER 阳性乳腺癌新辅助化疗的反应。

PAM50 for prediction of response to neoadjuvant chemotherapy for ER-positive breast cancer.

机构信息

Department of Breast and Endocrine Surgery, Osaka University Graduate School of Medicine, 2-2-E10 Yamadaoka, Suita-shi, 565-0871, Osaka, Japan.

出版信息

Breast Cancer Res Treat. 2019 Feb;173(3):533-543. doi: 10.1007/s10549-018-5020-7. Epub 2018 Oct 25.


DOI:10.1007/s10549-018-5020-7
PMID:30361874
Abstract

PURPOSE: There is an urgent need for the development of a predictor of response to chemotherapy for ER-positive breast cancer which is less chemosensitive than for ER-negative breast cancer in order to avoid unnecessary chemotherapy. In the present study, intrinsic subtyping by PAM50 was evaluated for its ability to predict a response to chemotherapy. PATIENTS AND METHODS: For this study, 124 patients with ER-positive breast cancer treated with neoadjuvant sequential paclitaxel and FEC (NAC) were evaluated. Tumor biopsy specimens obtained before NAC were subjected to intrinsic subtyping (IS) by gene expression (GE) using PAM50 (PAM50-IS) or immunohistochemistry (IHC-IS). RESULTS: Of the PAM50-ISs (Luminal A, Luminal B, HER2-enriched, and Basal-like), GE-Luminal A showed the lowest pCR rate (1.9%), and multivariate analysis revealed that GE-Luminal A was a significant (P = 0.031) predictor of non-pCR independently of other clinicopathological parameters, including Ki67, and tumor-infiltrating lymphocytes. Of the IHC-ISs, on the other hand, IHC-Luminal A was not significantly associated with pCR. We also found that breast tumors with low ER levels (1-9%), like ER-negative tumors, were mostly GE-HER2-enriched and GE-Basal-like, and more sensitive to NAC than those with high ER levels (≥ 10%). CONCLUSIONS: GE-Luminal A intrinsically subtyped by PAM50 was the least sensitive to NAC and very unlikely to attain pCR. IHC-Luminal A identified by IHC, on the other hand, was not significantly predictive of pCR. In addition, PAM50 revealed that tumors with low ER (1-9%) were more like ER-negative tumors than ER-positive tumors, and most such cases should therefore would better be treated with chemotherapy.

摘要

目的:为了避免不必要的化疗,迫切需要开发一种预测 ER 阳性乳腺癌化疗反应的方法,这种方法比 ER 阴性乳腺癌的化疗反应要差。在本研究中,评估了 PAM50 的内在亚型分类,以预测对化疗的反应。

患者和方法:本研究评估了 124 例接受新辅助序贯紫杉醇和 FEC(NAC)治疗的 ER 阳性乳腺癌患者。在 NAC 之前,采集肿瘤活检标本,通过基因表达(GE)使用 PAM50(PAM50-IS)或免疫组织化学(IHC-IS)进行内在亚型分类(IS)。

结果:在 PAM50-IS(Luminal A、Luminal B、HER2 富集和基底样)中,GE-Luminal A 的 pCR 率最低(1.9%),多变量分析显示,GE-Luminal A 是独立于其他临床病理参数(包括 Ki67 和肿瘤浸润淋巴细胞)的非 pCR 的显著预测因子(P = 0.031)。另一方面,在 IHC-IS 中,IHC-Luminal A 与 pCR 无显著相关性。我们还发现,ER 水平低(1-9%)的乳腺肿瘤,如 ER 阴性肿瘤,主要是 GE-HER2 富集和 GE 基底样,对 NAC 更敏感。

结论:PAM50 基因分型的 GE-Luminal A 对 NAC 最不敏感,极不可能达到 pCR。另一方面,通过 IHC 鉴定的 IHC-Luminal A 对 pCR 无显著预测作用。此外,PAM50 表明 ER(1-9%)低的肿瘤比 ER 阳性肿瘤更像 ER 阴性肿瘤,因此大多数此类病例最好用化疗治疗。

相似文献

[1]
PAM50 for prediction of response to neoadjuvant chemotherapy for ER-positive breast cancer.

Breast Cancer Res Treat. 2018-10-25

[2]
Prognostic significance of pathologic complete response and Ki67 expression after neoadjuvant chemotherapy in breast cancer.

Breast Cancer. 2015-3

[3]
Integrated evaluation of PAM50 subtypes and immune modulation of pCR in HER2-positive breast cancer patients treated with chemotherapy and HER2-targeted agents in the CherLOB trial.

Ann Oncol. 2016-8-2

[4]
Neoadjuvant chemotherapy in ER+ HER2- breast cancer: response prediction based on immunohistochemical and molecular characteristics.

Breast Cancer Res Treat. 2011-4-7

[5]
Research-based PAM50 subtype predictor identifies higher responses and improved survival outcomes in HER2-positive breast cancer in the NOAH study.

Clin Cancer Res. 2014-1-15

[6]
Chemosensitivity predicted by BluePrint 80-gene functional subtype and MammaPrint in the Prospective Neoadjuvant Breast Registry Symphony Trial (NBRST).

Ann Surg Oncol. 2014-10

[7]
Molecular subtype profiling of invasive breast cancers weakly positive for estrogen receptor.

Breast Cancer Res Treat. 2016-2

[8]
FOXA1 expression after neoadjuvant chemotherapy is a prognostic marker in estrogen receptor-positive breast cancer.

Breast Cancer. 2015-5

[9]
The triple negative paradox: primary tumor chemosensitivity of breast cancer subtypes.

Clin Cancer Res. 2007-4-15

[10]
Triple-negative phenotype is of adverse prognostic value in patients treated with dose-dense sequential adjuvant chemotherapy: a translational research analysis in the context of a Hellenic Cooperative Oncology Group (HeCOG) randomized phase III trial.

Cancer Chemother Pharmacol. 2011-9-8

引用本文的文献

[1]
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.

ESMO Open. 2025-7-25

[2]
Gene Expression Signatures for Guiding Initial Therapy in ER+/HER2- Early Breast Cancer.

Cancers (Basel). 2025-4-28

[3]
Molecular characterisation of the residual disease after neoadjuvant endocrine therapy in ER+/HER2- breast cancer uncovers biomarkers of tumour response.

Transl Oncol. 2025-7

[4]
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Breast. 2025-4

[5]
Cilengitide sensitivity is predicted by overall integrin expression in breast cancer.

Breast Cancer Res. 2024-12-20

[6]
Comparison of neoadjuvant chemotherapy response and prognosis among pegylated liposomal doxorubicin, epirubicin and pirarubicin in HR ⩽ 10%/HER2-negative breast cancer: an exploratory real-world multicentre cohort study.

Ther Adv Med Oncol. 2024-9-23

[7]
Major pathologic response and long-term clinical benefit in hormone receptor-positive, human epidermal growth factor receptor 2-negative breast cancer after neoadjuvant chemotherapy.

Breast. 2024-12

[8]
Predicting invasive disease-free survival in ER-positive, HER2-negative early breast cancer using the PAM50 risk-of-recurrence score: a retrospective analysis using single-center long-term follow-up data of postmenopausal Japanese patients.

Int J Clin Oncol. 2024-11

[9]
Immune and gene-expression profiling in estrogen receptor low and negative early breast cancer.

J Natl Cancer Inst. 2024-12-1

[10]
Deep learning-based risk stratification of preoperative breast biopsies using digital whole slide images.

Breast Cancer Res. 2024-6-3

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