Speciality Dentist in Oral Medicine, Glasgow Dental Hospital, Glasgow, UK.
Dental Core Trainee 2 in Oral and Maxillofacial Surgery, Queen Elizabeth University Hospital, Glasgow, UK.
Evid Based Dent. 2022 Mar;23(1):18-19. doi: 10.1038/s41432-022-0254-y. Epub 2022 Mar 25.
Design Systematic review looking at published studies which aimed to identify human tissue biomarkers which could predict malignant transformation of oral leukoplakia (OL) lesions.Case/control selection Articles were identified from PubMed, EBSCO and Cochrane library databases using combinations of keywords. Randomised clinical trials, case-control studies and prospective and retrospective cohort studies were included. All studies had to include follow-up data. There were no restrictions regarding gender, age groups, geographic origin, or year of publication. The selection process involved two of the researchers independently analysing titles and abstracts to identify articles for full-text reading. The same authors then read the articles identified for full-text reading, applying the eligibility criteria. If there was a disagreement with regards to the selection, a discussion was had until a consensus was reached.Data analysis Qualitative data was presented as reported from the primary studies. Quantitative analysis was not carried out due to the high heterogeneity across the studies.Results Forty-six studies were included within the systematic review. These studies identified a total of 3,783 patients with OL, of which 1,047 went on to develop oral cancer, giving an average malignant transformation incidence of 27.6%. Forty-nine different tissue biomarkers were evaluated among the included studies, with the p53 and podoplanin proteins and loss of heterozygosity the most frequently discussed.Conclusions Of the biomarkers studied, podoplanin and chromosomal loci abnormalities (such as loss of heterozygosity) would appear the most promising in being able to predict malignant transformation of OL lesions; however, further research is required.
设计系统评价,研究已发表的文献,旨在确定可预测口腔白斑(OL)病变恶性转化的人体组织生物标志物。
病例对照选择
使用关键词组合,从 PubMed、EBSCO 和 Cochrane 图书馆数据库中确定文章。纳入随机临床试验、病例对照研究以及前瞻性和回顾性队列研究。所有研究都必须包括随访数据。研究对象无性别、年龄组、地理来源或发表年份限制。选择过程涉及两位研究人员独立分析标题和摘要,以确定全文阅读的文章。然后,同一作者阅读确定的全文阅读文章,并应用入选标准。如果在选择方面存在分歧,则进行讨论,直到达成共识。
数据分析
定性数据按主要研究报告呈现。由于研究之间存在高度异质性,因此未进行定量分析。
结果
系统评价中纳入了 46 项研究。这些研究共纳入了 3783 例 OL 患者,其中 1047 例发展为口腔癌,平均恶性转化率为 27.6%。纳入的研究中评估了 49 种不同的组织生物标志物,其中 p53 和 podoplanin 蛋白以及杂合性丢失讨论最多。
结论
在所研究的生物标志物中,podoplanin 和染色体基因座异常(如杂合性丢失)似乎最有希望能够预测 OL 病变的恶性转化;然而,还需要进一步的研究。