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RET、BRAF 与人口统计学数据的联合可识别侵袭性甲状腺乳头状癌的亚组患者。

The Combination of RET, BRAF and Demographic Data Identifies Subsets of Patients with Aggressive Papillary Thyroid Cancer.

机构信息

Department of Surgical Oncology, Faculty of Medicine - Pontificia Universidad Católica de Chile, Diagonal Paraguay 362, Piso 3, Santiago, Chile.

Department of Endocrinology, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.

出版信息

Horm Cancer. 2019 Jun;10(2-3):97-106. doi: 10.1007/s12672-019-0359-8. Epub 2019 Mar 22.

Abstract

The use of BRAFV600E and RET/PTC1 as biomarkers to guide the extent of surgery in patients with papillary thyroid cancer (PTC) remains controversial. We assessed the combined use of demographic data (sex and age) with mRNA expression levels and/or mutational status (BRAFV600E and RET/PTC1) to identify potential subsets of patients with aggressive histopathological features (lymph node metastases and extrathyroidal extension). In a cohort of 126 consecutive patients, BRAFV600E and RET/PTC1 mutations were found in 52 and 18%, respectively. By conditional bivariate analysis (CBVA), a 'high activity' profile of BRAF (BRAFV600E positive or high expression) and 'low activity' profile of RET (RET/PTC1 negative or low expression) was associated with extrathyroidal extension (ETE) (OR 4.48). Alternatively, a 'high activity' profile of RET (RET/PTC1 positive or high expression) and 'low activity' profile of BRAF (BRAFV600E negative or low expression) were associated with lymph node metastasis (LNM) (OR 12.80). Furthermore, in patients younger than 55 years, a low expression of BRAF was associated with LNM (OR 17.65) and the presence of BRAFV600E mutation was associated with ETE (OR 2.76). Our results suggest that the analysis of demographic and molecular variables by CBVA could contribute to identify subsets of patients with aggressive histopathologic features, providing a potential guide to personalised surgical management of PTC.

摘要

BRAFV600E 和 RET/PTC1 作为生物标志物指导甲状腺乳头状癌 (PTC) 患者手术范围的应用仍存在争议。我们评估了将人口统计学数据(性别和年龄)与 mRNA 表达水平和/或突变状态(BRAFV600E 和 RET/PTC1)相结合,以确定具有侵袭性组织病理学特征(淋巴结转移和甲状腺外侵犯)的潜在亚组患者。在 126 例连续患者的队列中,分别发现 BRAFV600E 和 RET/PTC1 突变 52%和 18%。通过条件二元分析 (CBVA),BRAF 的“高活性”谱(BRAFV600E 阳性或高表达)和 RET 的“低活性”谱(RET/PTC1 阴性或低表达)与甲状腺外侵犯 (ETE) 相关(OR 4.48)。或者,RET 的“高活性”谱(RET/PTC1 阳性或高表达)和 BRAF 的“低活性”谱(BRAFV600E 阴性或低表达)与淋巴结转移 (LNM) 相关(OR 12.80)。此外,在年龄小于 55 岁的患者中,BRAF 低表达与 LNM 相关(OR 17.65),BRAFV600E 突变与 ETE 相关(OR 2.76)。我们的结果表明,通过 CBVA 分析人口统计学和分子变量可能有助于识别具有侵袭性组织病理学特征的患者亚组,为 PTC 的个体化手术管理提供潜在指导。

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