Arcolia Vanessa, Journe Fabrice, Renaud Florence, Leteurtre Emmanuelle, Gabius Hans-Joachim, Remmelink Myriam, Saussez Sven
Laboratory of Human Anatomy and Experimental Oncology, Faculty of Medicine and Pharmacy, University of Mons, B-7000 Mons, Belgium.
Laboratory of Oncology and Experimental Surgery, Jules Bordet Institute, Free University of Brussels, B-1000 Brussels, Belgium.
Oncol Lett. 2017 Oct;14(4):4183-4189. doi: 10.3892/ol.2017.6719. Epub 2017 Aug 4.
Currently, fine-needle aspiration is the most frequently used pre-operative technique for diagnosis of malignant thyroid tumors, however, pathologists are unable to reach efficient and accurate differential diagnoses between benign and malignant thyroid nodules. To aid in resolving this issue, immunohistochemistry for galectins (gal)-1, -3, -7, -8, cytokeratin 19 (CK19), Hector Battifora Mesothelial Epitope-1 (HBME-1) and thyroid peroxidase (TPO) was performed on two tissue microarrays composed of 66 follicular adenomas (FA) and 66 papillary carcinomas (PC). The identification of optimal cut-off levels and the diagnostic value of single immunomarkers or combinations were evaluated using the receiver operating characteristic curve analysis. Signal intensities for gal-1, gal-3, CK19 and HBME-1 were significantly greater in PC compared with FA (P<0.001). Conversely, expression levels of TPO were significantly increased in FA compared with PC (P<0.001). Gal-3 and CK19 appeared to be the most sensitive markers (97 and 98%, respectively), whereas galectin-1 was the most specific (97%). The combination of gal-3, CK19 and HBME-1 acted as the most efficient and informative marker panel reaching the greatest specificity (97%) and sensitivity (95%) for the diagnosis of PCs. The findings suggest that this combination of markers may improve the reliability of diagnosis of thyroid cancer.
目前,细针穿刺是诊断甲状腺恶性肿瘤最常用的术前技术,然而,病理学家无法对甲状腺良性和恶性结节进行高效且准确的鉴别诊断。为解决这一问题,对由66个滤泡性腺瘤(FA)和66个乳头状癌(PC)组成的两个组织芯片进行了半乳糖凝集素(gal)-1、-3、-7、-8、细胞角蛋白19(CK19)、赫克托·巴蒂福拉间皮表位-1(HBME-1)和甲状腺过氧化物酶(TPO)的免疫组织化学检测。使用受试者工作特征曲线分析评估了最佳临界值的确定以及单一免疫标志物或组合的诊断价值。与FA相比,PC中gal-1、gal-3、CK19和HBME-1的信号强度显著更高(P<0.001)。相反,与PC相比,FA中TPO的表达水平显著升高(P<0.001)。Gal-3和CK19似乎是最敏感的标志物(分别为97%和98%),而半乳糖凝集素-1是最特异的(97%)。Gal-3、CK19和HBME-1的组合作为最有效且信息丰富的标志物组合,对PC诊断的特异性最高(97%),敏感性最高(95%)。研究结果表明,这种标志物组合可能提高甲状腺癌诊断的可靠性。