Gandhi Piyush, Kaur Manmeet, Punia Ramandeep Singh, Halappa Thippeswamy Shamenahalli, Singh Harkanwal Preet
Department of Oral Pathology and Microbiology, Dasmesh Institute of Research and Dental Sciences, Faridkot, Punjab, India.
Department of Pathology/Lab Medicine, AIIMS, Bathinda, Punjab, India.
J Oral Maxillofac Pathol. 2022 Apr-Jun;26(2):156-160. doi: 10.4103/jomfp.jomfp_389_20. Epub 2022 Jun 28.
Oral squamous cell carcinoma (OSCC) is the most common malignancy of the oral cavity, with multifactorial etiopathogenesis. Data from the past literature suggest that myofibroblasts (MFs) can also contribute significantly to the pathogenesis of the disease. Hence, the present study was undertaken for assessing the expression of MF in well-differentiated OSCC (WDOSCC), moderately differentiated OSCC (MDOSCC), poorly differentiated OSCC (PDOSCC) and healthy controls by immunohistochemistry using alpha-smooth muscle actin (α-SMA) antibody.
Forty cases each of WDOSCC, MDOSCC, PDOSCC and healthy controls were included. 4-μm thick sections from each tissue sample were stained with routine hematoxylin and eosin as well as immunohistochemically using α-SMA. Among different grades of OSCC, expression of MFs was compared. All the results were subjected to statistical analysis.
While comparing the expression of MFs in between different grades of OSCC, nonsignificant results were obtained. While comparing the expression of MF in between OSCC cases and normal controls, significant results were obtained.
MFs are one of the vital pathogenetic components in OSCC cases in predicting their invasive behaviors. We advocate the use of MFs as a stromal marker for visualizing invasion and progression in OSCC patients.
口腔鳞状细胞癌(OSCC)是口腔最常见的恶性肿瘤,其发病机制具有多因素性。过去文献的数据表明,肌成纤维细胞(MFs)在该疾病的发病机制中也可发挥重要作用。因此,本研究采用α-平滑肌肌动蛋白(α-SMA)抗体免疫组化法评估MFs在高分化OSCC(WDOSCC)、中分化OSCC(MDOSCC)、低分化OSCC(PDOSCC)及健康对照中的表达情况。
纳入WDOSCC、MDOSCC、PDOSCC各40例及健康对照。每个组织样本的4μm厚切片进行常规苏木精和伊红染色以及使用α-SMA进行免疫组化染色。比较不同分级OSCC中MFs的表达情况。所有结果均进行统计学分析。
比较不同分级OSCC之间MFs的表达时,结果无统计学意义。比较OSCC病例与正常对照之间MFs的表达时,结果具有统计学意义。
MFs是预测OSCC病例侵袭行为的重要发病机制组成部分之一。我们提倡将MFs用作一种基质标志物,以观察OSCC患者的侵袭和进展情况。