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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.

DOI:10.1016/j.ejso.2021.11.010
PMID:34794843
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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