Gowthami J, Gururaj N, Mahalakshmi V, Sathya R, Sabarinath T R, Doss Daffney Mano
Department of Oral and Maxillofacial Pathology and Microbiology, CSI College of Dental Sciences and Research, Madurai, Tamil Nadu, India.
J Oral Maxillofac Pathol. 2020 May-Aug;24(2):293-307. doi: 10.4103/jomfp.JOMFP_348_19. Epub 2020 Sep 9.
Epithelial neoplasm is an important global health-care problem, with high morbidity and mortality rates. Early diagnosis and appropriate treatment are essential for increased life survival. Prediction of occurrence of malignancy in a disease-free individual by any means will be a great breakthrough for healthy living.
The aims and objectives were to predict the genetic predisposition and propose a prediction protocol for epithelial malignancy of various systems in our body, in a disease-free individual.
We have searched databases both manually and electronically, published in English language in Cochrane group, Google search, MEDLINE and PubMed from 2000 to 2019. We have included all the published, peer-reviewed, narrative reviews; randomized controlled trials; case-control studies; and cohort studies and excluded the abstract-only articles and duplicates. Specific words such as "etiological factors," "pathology and mutations," "signs and symptoms," "genetics and IHC marker," and "treatment outcome" were used for the search. A total of 1032 citations were taken, and only 141 citations met the inclusion criteria and were analyzed.
After analyzing various articles, the etiological factors, clinical signs and symptoms, genes and the pathology involved and the commonly used blood and tissue markers were analyzed. A basic investigation strategy using immunohistochemistry markers was established.
The set of proposed biomarkers should be studied in future to predict genetic predisposition in disease-free individuals.
上皮性肿瘤是一个重要的全球卫生保健问题，发病率和死亡率都很高。早期诊断和适当治疗对于提高生存率至关重要。通过任何手段预测无病个体发生恶性肿瘤的情况，将是健康生活的一大突破。
目的是预测遗传易感性，并为无病个体体内各系统的上皮性恶性肿瘤提出一种预测方案。
我们通过手动和电子方式检索了2000年至2019年在Cochrane协作网、谷歌搜索、MEDLINE和PubMed上以英文发表的数据库。我们纳入了所有已发表的、经过同行评审的叙述性综述、随机对照试验、病例对照研究和队列研究，并排除了仅为摘要的文章和重复文章。搜索时使用了“病因学因素”“病理学与突变”“体征和症状”“遗传学与免疫组化标志物”以及“治疗结果”等特定词汇。共获取1032条引文，只有141条引文符合纳入标准并进行了分析。
在分析了各种文章后，对病因学因素、临床体征和症状、相关基因和病理学以及常用的血液和组织标志物进行了分析。建立了一种使用免疫组化标志物的基本调查策略。
未来应研究这套提出的生物标志物，以预测无病个体的遗传易感性。
