Podoplanin immunoexpression in odontogenic lesions: a systematic review, meta-analysis, and integrated bioinformatic analysis.

IF 2.4 3区医学 Q2 PATHOLOGY Diagnostic Pathology Pub Date : 2024-08-24 DOI:10.1186/s13000-024-01540-y

Mario Alberto Alarcón-Sánchez, Getsemani Luna-Bonilla, Selenne Romero-Servin, Artak Heboyan

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Abstract

Background: Podoplanin (PDPN) is a transmembrane glycoprotein implicated in the pathogenesis of odontogenic lesions (OL). It is localized at the membrane and cytoplasmic level, and its interaction with other proteins could trigger cell proliferation, invasion and migration. The main objective of this systematic review is to explore the immunoexpression pattern of podoplanin in OL. In addition, as secondary objectives, we aimed to compare the immunostaining intensity of PDPN in OL, to analyze its interaction networks by bioinformatic analysis and to highlight its importance as a potential diagnostic marker useful in the pathogenesis of OL.

Methods: The protocol was developed following PRISMA and Cochrane guidelines. The digital search was performed in the databases: PubMed/MEDLINE, ScienceDirect, Scopus, Web of Science and Google Schoolar from August 15, 2010 to June 15, 2023. We included cross-sectional and cohort studies that will analyze the pattern of PDPN immunoexpression in OL. Two investigators independently searched for eligible articles, selected titles and abstracts, analyzed full text, conducted data collection, and performed assessment of study quality and risk of bias. In addition, part of the results were summarized through a random-effects meta-analysis. STRING database was used for protein-protein interaction analysis.

Results: Twenty-nine relevant studies were included. The ages of the subjects ranged from 2 to 89 years, with a mean age of 33.41 years. Twenty-two point two percent were female, 21.4% were male, and in 56.4% the gender of the participants was not specified. A total of 1,337 OL samples were analyzed for PDPN immunoexpression pattern. Ninety-four (7.03%) were dental follicles and germs, 715 (53.47%) were odontogenic cysts, and 528 (39.49%) were odontogenic tumors. Meta-analysis indicated that the immunostaining intensity was significantly stronger in odontogenic keratocysts compared to dentigerous cysts (SMD=3.3(CI=1.85-4.82, p=0.000*). Furthermore, bioinformatic analysis revealed that PECAM-1, TNFRF10B, MSN, EZR and RDX interact directly with PDPN and their expression in OL was demonstrated.

Conclusions: The results of the present systematic review support the unique immunoexpression of PDPN as a potential useful diagnostic marker in the pathogenesis of OL.

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牙源性病变中 Podoplanin 的免疫表达：系统综述、荟萃分析和综合生物信息学分析。

背景：Podoplanin（PDPN）是一种跨膜糖蛋白，与牙源性病变（OL）的发病机制有关。它定位于膜和细胞质水平，其与其他蛋白的相互作用可引发细胞增殖、侵袭和迁移。本系统综述的主要目的是探讨 podoplanin 在 OL 中的免疫表达模式。此外，作为次要目标，我们还旨在比较 PDPN 在 OL 中的免疫染色强度，通过生物信息学分析来分析其相互作用网络，并强调其作为潜在诊断标志物在 OL 发病机制中的重要性：研究方案的制定遵循了 PRISMA 和 Cochrane 指南。方法：研究方案的制定遵循了 PRISMA 和 Cochrane 指南：PubMed/MEDLINE、ScienceDirect、Scopus、Web of Science 和 Google Schoolar。我们纳入了将分析 OL 中 PDPN 免疫表达模式的横断面研究和队列研究。两名研究人员独立检索符合条件的文章，选择标题和摘要，分析全文，进行数据收集，并对研究质量和偏倚风险进行评估。此外，还通过随机效应荟萃分析总结了部分结果。STRING 数据库用于蛋白质-蛋白质相互作用分析：结果：共纳入 29 项相关研究。研究对象的年龄从 2 岁到 89 岁不等，平均年龄为 33.41 岁。女性占 22.2%，男性占 21.4%，56.4%的受试者未注明性别。共对 1337 份 OL 样本进行了 PDPN 免疫表达模式分析。其中 94 例（7.03%）为牙泡和牙菌斑，715 例（53.47%）为牙源性囊肿，528 例（39.49%）为牙源性肿瘤。元分析表明，与牙源性囊肿相比，牙源性角化囊肿的免疫染色强度明显更强（SMD=3.3（CI=1.85-4.82，P=0.000*）。此外，生物信息学分析表明，PECAM-1、TNFRF10B、MSN、EZR和RDX与PDPN直接相互作用，它们在OL中的表达也得到了证实：本系统综述的结果支持将 PDPN 的独特免疫表达作为 OL 发病机制中潜在的有用诊断标志物。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Diagnostic Pathology 医学-病理学

CiteScore

4.60

自引率

0.00%

发文量

审稿时长

1 months

期刊介绍： Diagnostic Pathology is an open access, peer-reviewed, online journal that considers research in surgical and clinical pathology, immunology, and biology, with a special focus on cutting-edge approaches in diagnostic pathology and tissue-based therapy. The journal covers all aspects of surgical pathology, including classic diagnostic pathology, prognosis-related diagnosis (tumor stages, prognosis markers, such as MIB-percentage, hormone receptors, etc.), and therapy-related findings. The journal also focuses on the technological aspects of pathology, including molecular biology techniques, morphometry aspects (stereology, DNA analysis, syntactic structure analysis), communication aspects (telecommunication, virtual microscopy, virtual pathology institutions, etc.), and electronic education and quality assurance (for example interactive publication, on-line references with automated updating, etc.).