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验证一种临床病理和基因表达谱模型,以识别无需进行前哨淋巴结活检的皮肤黑色素瘤患者。

Validation of a clinicopathological and gene expression profile model to identify patients with cutaneous melanoma where sentinel lymph node biopsy is unnecessary.

机构信息

Department of Pathology, Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden.

SkylineDx, Rotterdam, the Netherlands.

出版信息

Eur J Surg Oncol. 2022 Feb;48(2):320-325. doi: 10.1016/j.ejso.2021.11.010. Epub 2021 Nov 10.

Abstract

BACKGROUND

In patients with cutaneous melanoma, sentinel lymph node biopsy (SLNB) serves as an important technique to asses disease stage and to guide adjuvant systemic therapy. A model using clinicopathologic and gene expression variables (CP-GEP; Merlin Assay) has recently been introduced to identify patients that may safely forgo SLNB. Herein we present data from an independent validation cohort of the CP-GEP model in Swedish patients.

METHODS

Archival histological material (primary melanoma tissue) from a prospectively collected cohort of 421 consecutive patients with pT1-T4 melanoma undergoing SLNB between 2006 and 2014 was analyzed using the CP-GEP model. CP-GEP combines Breslow thickness and patient age with the expression levels of eight genes from the primary melanoma. Stratification is based on their risk for nodal metastasis: CP-GEP Low Risk or CP-GEP High Risk.

RESULTS

The SLNB positivity rate was 13%. Of 421 primary melanomas, the CP-GEP model identified 86 patients as having a low risk for nodal metastasis. In patients with pT1-2 melanomas, the SLNB reduction rate was 35.4% (95% CI: 29.4-41.8) with a negative predictive value (NPV) of 96.5% (95% CI: 90.0-99.3). Among patients with pT1-3 melanomas, CP-GEP suggested a SLNB reduction rate of 24.0% (95% CI: 19.7-28.8) and a NPV of 96.5% (95% CI: 90.1-99.3). Only one of 118 pT3 tumors was classified as CP-GEP Low Risk, and all pT4 tumors were classified as being high risk for nodal metastasis.

CONCLUSION

This study demonstrates that CP-GEP can identify patients with a low risk for nodal metastasis. Patients with pT1-2 melanomas have the highest clinical benefit from using the test, where 35% of the patients could forgo a SLNB procedure.

摘要

背景

在患有皮肤黑色素瘤的患者中,前哨淋巴结活检(SLNB)是评估疾病分期和指导辅助全身治疗的重要技术。最近引入了一种使用临床病理和基因表达变量(CP-GEP;梅林检测)的模型,用于识别可以安全避免 SLNB 的患者。在此,我们报告了 CP-GEP 模型在瑞典患者的独立验证队列中的数据。

方法

使用 CP-GEP 模型分析了 2006 年至 2014 年间连续 421 例接受 SLNB 的 pT1-T4 黑色素瘤患者的前瞻性收集队列的存档组织学材料(原发性黑色素瘤组织)。CP-GEP 将 Breslow 厚度和患者年龄与原发性黑色素瘤的 8 个基因的表达水平相结合。分层基于其淋巴结转移的风险:CP-GEP 低风险或 CP-GEP 高风险。

结果

SLNB 阳性率为 13%。在 421 个原发性黑色素瘤中,CP-GEP 模型确定了 86 例具有淋巴结转移低风险的患者。在 pT1-2 黑色素瘤患者中,SLNB 减少率为 35.4%(95%CI:29.4-41.8),阴性预测值(NPV)为 96.5%(95%CI:90.0-99.3)。在 pT1-3 黑色素瘤患者中,CP-GEP 提示 SLNB 减少率为 24.0%(95%CI:19.7-28.8),NPV 为 96.5%(95%CI:90.1-99.3)。118 例 pT3 肿瘤中仅有 1 例被归类为 CP-GEP 低风险,所有 pT4 肿瘤均被归类为淋巴结转移高风险。

结论

本研究表明,CP-GEP 可以识别淋巴结转移低风险的患者。pT1-2 黑色素瘤患者从使用该检测中获益最大,其中 35%的患者可以避免 SLNB 手术。

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