Gene expression profiling identifies potential molecular markers of papillary thyroid carcinoma.

IF 1.9 4区医学 Q3 ONCOLOGY Cancer Biomarkers Pub Date : 2019-01-01 DOI:10.3233/CBM-181758

Ismael Reyes, Niradiz Reyes, Robert Suriano, Codrin Iacob, Nina Suslina, Anthony Policastro, Augustine Moscatello, Stimson Schantz, Raj K Tiwari, Jan Geliebter

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引用次数: 19

Abstract

Background: Thyroid cancer is the most common endocrine malignancy worldwide, with the predominant form papillary thyroid carcinoma (PTC) representing approximately 80% of cases.

Objective: This study was addressed to identify potential genes and pathways involved in the pathogenesis of PTC and potential novel biomarkers for this disease.

Methods: Gene expression profiling was carried out by DNA microarray technology. Validation of microarray data by qRT-PCR, western blot, and enzyme linked immunosorbent assay was also performed in a selected set of genes and gene products, with the potential to be used as diagnostic or prognostic biomarkers, such as those associated with cell adhesion, extracellular matrix (ECM) remodeling and immune/inflammatory response.

Results: In this study we found that upregulation of extracellular activities, such as proteoglycans, ECM-receptor interaction, and cell adhesion molecules, were the most prominent feature of PTC. Significantly over-expressed genes included SDC1 (syndecan 1), SDC4 (syndecan 4), KLK7 (kallikrein-related peptidase 7), KLK10 (kallikrein-related peptidase 10), SLPI (secretory leukocyte peptidase inhibitor), GDF15 (growth/differentiation factor-15), ALOX5 (arachidonate 5-lipoxygenase), SFRP2 (secreted Frizzled-related protein 2), among others. Further, elevated KLK10 levels were detected in patients with PTC. Many of these genes belong to KEGG pathway "Proteoglycans in cancer".

Conclusions: Using DNA microarray analysis allowed the identification of genes and pathways with known important roles in malignant transformation, and also the discovery of novel genes that may be potential biomarkers for PTC.

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基因表达谱鉴定甲状腺乳头状癌的潜在分子标记。

背景:甲状腺癌是世界范围内最常见的内分泌恶性肿瘤，主要形式甲状腺乳头状癌(PTC)约占80%的病例。目的:本研究旨在确定参与PTC发病机制的潜在基因和途径以及该疾病潜在的新生物标志物。方法:采用DNA芯片技术进行基因表达谱分析。通过qRT-PCR、western blot和酶联免疫吸附试验验证微阵列数据，还对选定的一组基因和基因产物进行了验证，这些基因和基因产物有可能被用作诊断或预后生物标志物，例如与细胞粘附、细胞外基质(ECM)重塑和免疫/炎症反应相关的生物标志物。结果:在本研究中，我们发现细胞外活动的上调，如蛋白聚糖、ecm受体相互作用和细胞粘附分子，是PTC最突出的特征。显著过表达的基因包括SDC1 (syndecan 1)、SDC4 (syndecan 4)、KLK7 (kallikrein相关肽酶7)、KLK10 (kallikrein相关肽酶10)、SLPI(分泌性白细胞肽酶抑制剂)、GDF15(生长/分化因子-15)、ALOX5(花生四烯酸5-脂氧合酶)、SFRP2(分泌性卷曲相关蛋白2)等。此外，在PTC患者中检测到KLK10水平升高。这些基因中有许多属于KEGG途径“癌症中的蛋白多糖”。结论:利用DNA微阵列分析可以识别已知在恶性转化中起重要作用的基因和途径，并发现可能成为PTC潜在生物标志物的新基因。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cancer Biomarkers ONCOLOGY-

CiteScore

5.20

自引率

3.20%

发文量

195

审稿时长

3 months

期刊介绍： Concentrating on molecular biomarkers in cancer research, Cancer Biomarkers publishes original research findings (and reviews solicited by the editor) on the subject of the identification of markers associated with the disease processes whether or not they are an integral part of the pathological lesion. The disease markers may include, but are not limited to, genomic, epigenomic, proteomics, cellular and morphologic, and genetic factors predisposing to the disease or indicating the occurrence of the disease. Manuscripts on these factors or biomarkers, either in altered forms, abnormal concentrations or with abnormal tissue distribution leading to disease causation will be accepted.