de Souza Vinícius Gonçalves, de Lourdes Carvalho Aparecida, Miranda Carla Silva Siqueira, Cardoso Ludimila Paula Vaz
Medicine course, Federal University of Jataí, JataíBrazil.
J Oral Maxillofac Res. 2022 Dec 31;13(4):e3. doi: 10.5037/jomr.2022.13403. eCollection 2022 Oct-Dec.
The presented case-control study was developed to characterize the clinical, histopathological and immunological profile of patients with traumatic injuries, benign neoplasms, potentially malignant oral disorders and malignant neoplasms of the oral cavity, in order to identify biomarkers of malignancy.
Clinical information was collected from dental records and several techniques were performed, including histopathological evaluation in sections stained with haematoxylin and eosin, immunohistochemistry for programmed death ligand-1 and measurement of serum levels of interferon-gamma, interleukin-6, -10 and -12. Statistical analysis was performed using IBM SPSS Statistics software.
This study included 8 patients with traumatic injuries, 8 with benign neoplasms, 6 with potentially malignant oral disorders and 11 with malignant neoplasms. An association was observed between the classification of the lesion and smoking (P < 0.05), the size of the lesion (P < 0.05), the density of the inflammatory infiltrate (P < 0.001), the degree of dysplasia (P < 0.01) and programmed death ligand-1 expression (P < 0.01).
Therefore, it is suggested that smoking, the size of the lesion, the inflammatory infiltrate and the programmed death ligand-1 expression can be considered potential biomarkers of oral malignancy.
开展本病例对照研究，以描述口腔创伤性损伤、良性肿瘤、潜在恶性口腔疾病及恶性肿瘤患者的临床、组织病理学和免疫学特征，从而确定恶性肿瘤的生物标志物。
从牙科记录中收集临床信息，并进行了多种技术检测，包括苏木精和伊红染色切片的组织病理学评估、程序性死亡配体-1的免疫组织化学检测以及血清γ-干扰素、白细胞介素-6、-10和-12水平的测定。使用IBM SPSS Statistics软件进行统计分析。
本研究纳入8例创伤性损伤患者、8例良性肿瘤患者、6例潜在恶性口腔疾病患者和11例恶性肿瘤患者。观察到病变分类与吸烟（P < 0.05）、病变大小（P < 0.05）、炎症浸润密度（P < 0.001）、发育异常程度（P < 0.01）和程序性死亡配体-1表达（P < 0.01）之间存在关联。
因此，提示吸烟、病变大小、炎症浸润和程序性死亡配体-1表达可被视为口腔恶性肿瘤的潜在生物标志物。
