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通过基因表达鉴定的新的 Hurthle 腺瘤诊断标志物 PVALB。

PVALB, a new Hürthle adenoma diagnostic marker identified through gene expression.

机构信息

Genetic Bases of Thyroid Tumor Laboratory, Federal University of São Paulo, São Paulo, SP, Brazil.

出版信息

J Clin Endocrinol Metab. 2011 Jan;96(1):E151-60. doi: 10.1210/jc.2010-1318. Epub 2010 Oct 6.

Abstract

CONTEXT

A better means to accurately identify malignant thyroid nodules and to distinguish them from benign tumors is needed. We previously identified markers for detecting thyroid malignancy, with sensitivity estimated at or close to 100%. One lingering problem with these markers was that false positives occurred with Hürthle cell adenomas (HCA) which lowered test specificity.

METHODS

To locate accurate diagnostic markers, we profiled in depth the transcripts of a HCA and a Hürthle cell carcinoma (HCC). From 1146 differentially expressed genes, 18 transcripts specifically expressed in HCA were tested by quantitative PCR in a wide range of thyroid tumors (n = 76). Sensibility and specificity were calculated using receiver operating characteristic (ROC). Selected markers were further validated in an independent set of thyroid tumors (n = 82) by immunohistochemistry. To define the panel that would yield best diagnostic accuracy, these markers were tested in combination with our previous identified markers.

RESULTS

Seventeen of the 18 genes showed statistical significance based on a mean relative level of expression (P < 0.05). KLK1 (sensitivity = 0.97) and PVALB (sensitivity = 0.94) were the best candidate markers. The combination of PVALB and C1orf24 increased specificity to >97% and maintained sensitivity for detection of carcinoma.

CONCLUSION

We identified tumor markers that can be used in combination for a more accurate preoperative diagnosis of thyroid nodules and for postoperative diagnosis of thyroid carcinoma in tumor sections. This improved test would help physicians rapidly focus treatment on true malignancies and avoid unnecessary treatment of benign tumors, simultaneously improving medical care and reducing costs.

摘要

背景

需要更好的方法来准确识别恶性甲状腺结节并将其与良性肿瘤区分开来。我们之前已经确定了用于检测甲状腺恶性肿瘤的标志物,其敏感性估计为 100%或接近 100%。这些标志物的一个遗留问题是,Hürthle 细胞腺瘤(HCA)会出现假阳性,从而降低了测试的特异性。

方法

为了找到准确的诊断标志物,我们对 HCA 和 Hürthle 细胞癌(HCC)的转录本进行了深入分析。在 1146 个差异表达基因中,通过定量 PCR 在广泛的甲状腺肿瘤(n = 76)中测试了 18 个在 HCA 中特异性表达的转录本。使用接收者操作特征(ROC)计算敏感性和特异性。在另一组独立的甲状腺肿瘤(n = 82)中,通过免疫组织化学进一步验证了选定的标志物。为了确定能产生最佳诊断准确性的面板,我们将这些标志物与我们之前确定的标志物组合进行了测试。

结果

根据平均相对表达水平,18 个基因中有 17 个具有统计学意义(P < 0.05)。KLK1(敏感性 = 0.97)和 PVALB(敏感性 = 0.94)是最佳候选标志物。PVALB 和 C1orf24 的组合可将特异性提高到>97%,同时保持对癌的检测敏感性。

结论

我们确定了可以组合使用的肿瘤标志物,以便更准确地对甲状腺结节进行术前诊断,并在肿瘤切片中对甲状腺癌进行术后诊断。这种改进后的测试将有助于医生快速将治疗重点放在真正的恶性肿瘤上,避免对良性肿瘤进行不必要的治疗,同时改善医疗保健并降低成本。

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