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分析和临床验证成对 microRNA 表达分析在甲状腺细针抽吸样本中识别甲状腺髓样癌的应用。

Analytical and clinical validation of pairwise microRNA expression analysis to identify medullary thyroid cancer in thyroid fine-needle aspiration samples.

机构信息

Interpace Diagnostics Laboratory, Interpace Biosciences Inc, New Haven, Connecticut.

Interpace Diagnostics, Interpace Biosciences Inc, Pittsburgh, Pennsylvania, United States.

出版信息

Cancer Cytopathol. 2021 Mar;129(3):239-249. doi: 10.1002/cncy.22365. Epub 2020 Oct 5.

Abstract

BACKGROUND

Medullary thyroid carcinoma (MTC) is an aggressive malignancy originating from the parafollicular C cells. Preoperatively, thyroid nodule fine-needle aspiration cytology (FNAC) and pathogenic gene mutations are definitive in approximately one-half of cases. MicroRNAs (miRNAs) are endogenous, noncoding, single-stranded RNAs that regulate gene expression, a characteristic that confers the potential for identifying malignancy. In the current study, the authors hypothesized that differential pairwise (diff-pair) analysis of miRNA expression levels would reliably identify MTC in FNA samples.

METHODS

The relative abundance of 10 different miRNAs in total nucleic acids was obtained from ThyraMIR test results. Diff-pair analysis was performed by subtracting the critical threshold value of one miRNA from the critical threshold values of other miRNAs. Next-generation sequencing with the ThyGeNEXT panel identified oncogenic gene alterations. The discovery cohort consisted of 30 formalin-fixed, paraffin-embedded benign and malignant thyroid neoplasms, including 4 cases of MTC. After analytical validation, clinical validation was performed using 3 distinct cohorts (total of 7557 specimens).

RESULTS

In the discovery cohort, 9 diff-pairs were identified as having significant power using the Kruskal-Wallis test (P < .0001) to distinguish MTC samples from non-MTC samples. The assay correctly classified all MTC and non-MTC samples in the analytical validation study and in the 3 clinical validation cohorts. The overall test accuracy was 100% (95% confidence interval, 99%-100%). In indeterminate FNAC samples, the sensitivity of the diff-pair analysis was greater than that of the MTC-specific mutation analysis (100% vs 25%; P = .03).

CONCLUSIONS

Pairwise miRNA expression analysis of ThyraMIR results were found to accurately predict MTC in thyroid FNA samples, including those with indeterminate FNAC findings.

摘要

背景

甲状腺髓样癌(MTC)是一种源自滤泡旁 C 细胞的侵袭性恶性肿瘤。术前,甲状腺结节细针穿刺细胞学(FNAC)和致病基因突变在大约一半的病例中是明确的。微小 RNA(miRNA)是内源性的、非编码的、单链 RNA,可调节基因表达,这一特性使其具有识别恶性肿瘤的潜力。在本研究中,作者假设 miRNA 表达水平的差异成对(diff-pair)分析可以可靠地识别 FNAC 样本中的 MTC。

方法

从 ThyraMIR 检测结果中获得总核酸中 10 种不同 miRNA 的相对丰度。通过从一个 miRNA 的临界阈值中减去其他 miRNA 的临界阈值来进行 diff-pair 分析。使用 ThyGeNEXT 面板进行下一代测序,鉴定致癌基因突变。发现队列由 30 例福尔马林固定、石蜡包埋的良性和恶性甲状腺肿瘤组成,包括 4 例 MTC 病例。在分析验证后,使用 3 个不同的队列(共 7557 个标本)进行临床验证。

结果

在发现队列中,使用 Kruskal-Wallis 检验(P<.0001)发现 9 个 diff-pair 具有显著的区分能力,可将 MTC 样本与非 MTC 样本区分开来。该检测在分析验证研究和 3 个临床验证队列中正确地对所有 MTC 和非 MTC 样本进行了分类。总体检测准确率为 100%(95%置信区间,99%-100%)。在不确定的 FNAC 样本中,diff-pair 分析的敏感性高于 MTC 特异性突变分析(100%比 25%;P=.03)。

结论

ThyraMIR 结果的 miRNA 表达差异分析被发现可准确预测甲状腺 FNAC 样本中的 MTC,包括那些 FNAC 结果不确定的样本。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40d1/7984450/33827f204197/CNCY-129-239-g001.jpg

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