改善副神经节瘤遗传和转移性疾病预测的生物标志物:一项前瞻性研究的启示。

IF 5 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Tom Drossart, Alexandre Buffet, Ali Janbain, Chris Ottolenghi, Laurence Amar, Rossella Libé, Delphine Drui, Charlotte Lussey-Lepoutre, Maxence Mancini, Timgad Lounis, Armelle Guénégou-Arnoux, Tchao Méatchi, Jérôme Bertherat, Nelly Burnichon, Judith Favier, Anne-Paule Gimenez-Roqueplo
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引用次数: 0

摘要

背景和目的:确定原发性副神经节瘤或嗜铬细胞瘤(PPGL)的恶性风险和遗传状态是一项关键挑战。目的是评估基因组、代谢组和组织病理学生物标志物在预测转移和遗传状态方面的诊断准确性:COMETE-TACTIC是一项前瞻性研究(NCT02672020),于2015年11月至2019年3月在16个转诊中心进行。收集了231名连续PPGL患者的肿瘤样本和液体活检样本:通过NGS确定种系和体细胞遗传状态。对肿瘤组织进行 SDHB、SDHA 和 CA9 免疫组化检测。通过热测序评估TERT启动子甲基化。通过气相色谱 MS/MS 和液滴数字 PCR 定量的 TaqMan 分析,分别测定了液体活检组织的代谢组学特征和循环 miRNA:在确定遗传状态方面,肿瘤分析优于种系分析。SDHA和SDHB染色阳性结合CA9标记阴性表明不存在SDHx和VHL变异。血浆中琥珀酸含量超过4.94µM可确定SDHx基因突变携带者,灵敏度为65%,特异性为92%(AUC-ROC为0.82,95%CI为0.70-0.93)。在循环 miRNA 中,miR-483-5p 是转移状态的最佳分类器(AUC-ROC 0.64,95%CI 0.52-0.77)。TERT启动子CpGs的二核苷酸甲基化率总和超过42%可预测转移状态(AUC-ROC 0.75,95%CI 0.65-0.85)。多变量分析显示,生物标志物组合可显著预测SDHx状态(AUC-ROC 0.99,95%CI 0.98-1.00)和转移潜力(AUC-ROC 0.93,95%CI 0.84-1):结论:循环miR-483-5p、血浆琥珀酸盐、TERT启动子甲基化和SDHB免疫染色对PPGL风险分层很有价值。将生物标记物与临床数据相结合可为转移性患者提供极佳的诊断准确性(AUC-ROC 0.97,95%CI 0.93-1)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biomarkers improving genetic and metastatic disease prediction in paraganglioma: insights from a prospective study.

Context and objective: Identifying the risk of malignancy and genetic status in primary paraganglioma or pheochromocytoma (PPGL) is a key challenge. The aim was to assess the diagnostic accuracy of genomic, metabolomic and histopathological biomarkers for predicting metastatic and genetic status.

Design, setting, and patients: COMETE-TACTIC is a prospective study (NCT02672020) conducted from November 2015 to March 2019 across 16 referral centers. Tumor samples and liquid biopsies from 231 consecutive patients with PPGL were collected.

Main outcome measures: Germline and somatic genetic status were determined by NGS. SDHB, SDHA and CA9 immunohistochemistries were performed on tumor tissues. TERT promoter methylation was assessed by pyrosequencing. Metabolomic profile and circulating miRNAs were measured in liquid biopsies by gas chromatography MS/MS and TaqMan assay quantified by droplet digital PCR, respectively.

Results: Tumor analysis outperformed germline analysis for determining genetic status. Positive SDHA and SDHB staining combined with negative CA9 labeling indicated the absence of SDHx and VHL variants. Plasma succinate levels above 4.94µM identified SDHx mutation carriers with 65% sensitivity and 92% specificity (AUC-ROC 0.82, 95%CI 0.70-0.93). Among circulating miRNAs, miR-483-5p was the best classifier of metastatic status (AUC-ROC 0.64, 95%CI 0.52-0.77). A sum of dinucleotide methylation rate of TERT promoter CpGs above 42% predicted metastatic status (AUC-ROC 0.75, 95%CI 0.65-0.85). Multivariate analyses showed that biomarker combinations significantly predicted SDHx status (AUC-ROC 0.99, 95%CI 0.98-1.00) and metastatic potential (AUC-ROC 0.93, 95%CI 0.84-1).

Conclusions: Circulating miR-483-5p, plasma succinate, TERT promoter methylation, and SDHB immunostaining are valuable for PPGL risk stratification. Combining biomarkers with clinical data provides excellent diagnostic accuracy for metastatic patients (AUC-ROC 0.97, 95%CI 0.93-1).

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来源期刊
Journal of Clinical Endocrinology & Metabolism
Journal of Clinical Endocrinology & Metabolism 医学-内分泌学与代谢
CiteScore
11.40
自引率
5.20%
发文量
673
审稿时长
1 months
期刊介绍: The Journal of Clinical Endocrinology & Metabolism is the world"s leading peer-reviewed journal for endocrine clinical research and cutting edge clinical practice reviews. Each issue provides the latest in-depth coverage of new developments enhancing our understanding, diagnosis and treatment of endocrine and metabolic disorders. Regular features of special interest to endocrine consultants include clinical trials, clinical reviews, clinical practice guidelines, case seminars, and controversies in clinical endocrinology, as well as original reports of the most important advances in patient-oriented endocrine and metabolic research. According to the latest Thomson Reuters Journal Citation Report, JCE&M articles were cited 64,185 times in 2008.
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