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口腔癌前病变的遗传学/表观遗传学:现状与未来研究。

Genetics/epigenetics of oral premalignancy: current status and future research.

机构信息

Department of Pathology, The University of Chicago Pritzker School of Medicine, Chicago, IL, USA.

出版信息

Oral Dis. 2011 Apr;17 Suppl 1:7-22. doi: 10.1111/j.1601-0825.2011.01789.x.

Abstract

Squamous cell carcinoma (SCC) of the oral and oropharyngeal region is the sixth most common malignancy in the world today. Despite numerous advances in treatment, long-term survival from this disease remains poor. Early detection can decrease both morbidity and mortality associated with this neoplasm. However, screening for potentially malignant disease is typically confounded by difficulty in discriminating between reactive/inflammatory lesions vs those lesions that are premalignant in nature. Furthermore, the histologic diagnosis of dysplasia can be subjective and is thus prone to a considerable range of interpretation. Similarly, no definitive, validated criteria exist for predicting which dysplastic lesions are most likely to progress to cancer over time. Given this state of science, the presence of dysplasia can only be used to indicate that an oral lesion may have an increased risk of malignant transformation. Molecular biomarkers capable of identifying the subset of lesions likely to progress to cancer are required to eliminate this clinical diagnostic dilemma. The purpose of this review is to assess the current state of knowledge regarding genetic/epigenetic alterations observed in oral mucosal premalignancy. In addition, recommendations for future research studies directed at defining the predictive capacity of specific biomarkers in this modeling are presented.

摘要

口腔和口咽区域的鳞状细胞癌(SCC)是当今世界第六大常见恶性肿瘤。尽管在治疗方面取得了许多进展,但这种疾病的长期生存率仍然很差。早期发现可以降低与这种肿瘤相关的发病率和死亡率。然而,对潜在恶性疾病的筛查通常因难以区分反应性/炎症性病变与本质上具有癌前特征的病变而变得复杂。此外,发育不良的组织学诊断可能具有主观性,因此容易产生相当大的解释范围。同样,不存在用于预测哪些发育不良病变随着时间的推移最有可能进展为癌症的确切、经过验证的标准。鉴于这种科学现状,发育不良的存在只能表明口腔病变可能具有恶性转化的风险增加。需要能够识别可能进展为癌症的病变亚群的分子生物标志物来消除这种临床诊断困境。本综述的目的是评估目前关于口腔黏膜癌前病变中观察到的遗传/表观遗传改变的知识状况。此外,还提出了针对特定生物标志物在该模型中的预测能力的未来研究建议。

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