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评价 95 基因分类器在 ER 阳性、HER2 阴性、淋巴结阴性乳腺癌中的应用。

Evaluation of 95-Gene Classifier of Formalin-fixed Paraffin-embedded Tissues in ER-positive, HER2-negative, and Node-negative Breast Cancer.

机构信息

Department of Breast Surgery, Hokkaido University Hospital, Sapporo, Japan;

Center for Development of Advanced Diagnostics, Hokkaido University Hospital, Sapporo, Japan.

出版信息

Anticancer Res. 2023 Feb;43(2):707-711. doi: 10.21873/anticanres.16209.

DOI:10.21873/anticanres.16209
PMID:36697064
Abstract

BACKGROUND/AIM: A subset of patients with estrogen receptor (ER)-positive, HER2-negative, and node-negative breast cancer experience recurrences. Predicting patients who will have recurrences within 5 years of surgery is essential so that patients can be selected to receive adjuvant chemotherapy. The 95-gene classifier (95-GC) has been validated as a method to differentiate patients into high and low-risk groups for early recurrence.

PATIENTS AND METHODS

In this study, we performed 95-GC analysis on 56 formalin-fixed paraffin-embedded (FFPE) tissue samples from patients who underwent surgery for ER-positive, HER2-negative, and node-negative breast cancer and did not receive adjuvant chemotherapy. We associated the obtained high- and low-risk groups with clinicopathological characteristics and recurrence-free survival (RFS).

RESULTS

We classified 12 out of 56 patients into the high-risk recurrence group. We found significantly higher KI67 scores in patients in the high-risk group. Other clinicopathological characteristics were not associated with the 95-GC risk groups. Patients in the 95-GC low-risk group had a significantly better prognosis than those in the high-risk group (p=0.0387). The 5-year RFS rate was 97.6% in the low-risk group and 74.1% in the high-risk group, while the 10-year RFS rates were 90.1% and 74.1%, respectively.

CONCLUSION

The 95-GC score can accurately predict RFS within 5 years of surgery for ER-positive, HER2-negative, and node-negative breast cancer using FFPE tissue samples. These prediction models could help assign patients to the most effective treatment regimen.

摘要

背景/目的:一部分雌激素受体(ER)阳性、HER2 阴性、淋巴结阴性的乳腺癌患者会出现复发。预测术后 5 年内复发的患者至关重要,以便选择患者接受辅助化疗。95 基因分类器(95-GC)已被验证为区分早期复发高风险和低风险患者的方法。

患者和方法

本研究对 56 例接受 ER 阳性、HER2 阴性、淋巴结阴性乳腺癌手术且未接受辅助化疗的患者的 56 例福尔马林固定石蜡包埋(FFPE)组织样本进行了 95-GC 分析。我们将获得的高风险和低风险组与临床病理特征和无复发生存(RFS)相关联。

结果

我们将 56 例患者中的 12 例分类为高风险复发组。我们发现高风险组患者的 KI67 评分显著更高。其他临床病理特征与 95-GC 风险组无关。95-GC 低风险组患者的预后明显优于高风险组(p=0.0387)。低风险组的 5 年 RFS 率为 97.6%,高风险组为 74.1%,而 10 年 RFS 率分别为 90.1%和 74.1%。

结论

使用 FFPE 组织样本,95-GC 评分可准确预测 ER 阳性、HER2 阴性、淋巴结阴性乳腺癌术后 5 年内的 RFS。这些预测模型可以帮助为患者分配最有效的治疗方案。

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引用本文的文献

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Validation of late recurrence prediction by gene expression profiles and clinicopathological factors in estrogen receptor-positive breast cancer.验证基因表达谱和临床病理因素在雌激素受体阳性乳腺癌中的晚期复发预测。
Breast Cancer. 2024 Sep;31(5):898-908. doi: 10.1007/s12282-024-01602-5. Epub 2024 Jun 11.
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