Clinical and Histopathological Factors Associated with the Tumoral Expression of TGF-β1, MED15, CD16, and CD57 in Oral Squamous Cell Carcinoma.

Advances in Preventive Medicine Pub Date : 2022-10-27 eCollection Date: 2022-01-01 DOI:10.1155/2022/3145117
Maryam Elahi, Vahid Rakhshan
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引用次数: 0

Abstract

Introduction: Factors associated with the expression of oral squamous cell carcinoma (OSCC) biomarkers "CD16, CD57, TGF-β1, and MED15" are not assessed, except in few controversial studies of some of these biomarkers. This study aimed to highlight factors that can correlate with tumoral overexpression of these biomarkers.

Methods: In this genetically-matched case-control study, biomarker expressions in all available OSCC tissues and their adjacent normal tissues at the National Tumor Center (n = 384 (4 biomarkers × (48 cancers + 48 controls))) were measured using qRT-PCR. Factors associated with tumoral overexpression of CD16, CD57, TGF-β1, and MED15 (compared to the benign control) were evaluated, using log-level multiple linear regressions and Spearman (α = 0.05).

Results: Tumoral CD16 upregulation was observed in younger patients (β = -0.284, P=0.040) and cigarette smokers (β = 0.397, P=0.005). Tumoral CD57 was upregulated in males (β = 0.341, P=0.008), smokers (β = 0.401, P=0.002), and cases without vascular invasion (β = -0.242, P=0.042). Tumoral TGF-β1 was elevated in smokers (β = 0.452, P=0.001) and smaller tumors (β = -0.322, P=0.045). Tumoral MED15 was overexpressed in smokers (β = 0.295, P=0.036) and cases lacking perineural invasion (β = -0.394, P=0.007).

Conclusion: As the most consistent finding, smoking might be positively associated with tumoral overexpression of all biomarkers. Tumoral increase in CD57 might be positively associated with metastasis while being negatively correlated with vascular and lymphatic invasion. Tumor size might be negatively associated with tumoral TGF-β1 expression.

Abstract Image

TGF-β1、MED15、CD16和CD57在口腔鳞状细胞癌中表达的临床和组织病理学因素
引言:与口腔鳞状细胞癌(OSCC)生物标志物“CD16、CD57、TGF-β1和MED15”表达相关的因素没有被评估,除了少数有争议的研究中一些这些生物标志物。本研究旨在强调与这些生物标志物的肿瘤过表达相关的因素。方法:在这项基因匹配的病例对照研究中,使用qRT-PCR检测国家肿瘤中心所有可用的OSCC组织及其邻近正常组织(n = 384(4个生物标志物×(48例癌症+ 48例对照)))中生物标志物的表达。采用对数水平多元线性回归和Spearman (α = 0.05)评估与肿瘤中CD16、CD57、TGF-β1和MED15过表达相关的因素(与良性对照相比)。结果:年轻患者(β = -0.284, P=0.040)和吸烟患者(β = 0.397, P=0.005)肿瘤CD16表达上调。肿瘤CD57在男性(β = 0.341, P=0.008)、吸烟者(β = 0.401, P=0.002)和无血管侵犯患者(β = -0.242, P=0.042)中表达上调。肿瘤TGF-β1在吸烟者(β = 0.452, P=0.001)和较小肿瘤(β = -0.322, P=0.045)中升高。肿瘤MED15在吸烟者(β = 0.295, P=0.036)和没有神经周围浸润的患者(β = -0.394, P=0.007)中过表达。结论:作为最一致的发现,吸烟可能与肿瘤中所有生物标志物的过表达呈正相关。肿瘤中CD57的增加可能与转移呈正相关,而与血管和淋巴浸润呈负相关。肿瘤大小可能与肿瘤TGF-β1表达呈负相关。
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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