Humoral immune disorders affect clinical outcomes of oral lichen planus

作者全名："Qing, Maofeng; Yang, Dan; Shang, Qianhui; Li, Weiqi; Zhou, Yu; Xu, Hao; Chen, Qianming"

作者地址："[Qing, Maofeng; Yang, Dan; Shang, Qianhui; Li, Weiqi; Zhou, Yu; Xu, Hao] Sichuan Univ, Chinese Acad Med Sci, West China Hosp Stomatol,Res Unit Oral Carcinogene, Natl Clin Res Ctr Oral Dis,State Key Lab Oral Dis, Chengdu, Peoples R China; [Qing, Maofeng] Chongqing Med Univ, Dept Stomatol, Affiliated Hosp 2, Chongqing, Peoples R China; [Chen, Qianming] Zhejiang Univ, Affiliated Stomatol Hosp, Key Lab Oral Biomed Res Zhejiang Prov, Sch Stomatol, Hangzhou, Peoples R China; [Xu, Hao] Sichuan Univ, Chinese Acad Med Sci, West China Hosp Stomatol,Res Unit Oral Carcinogene, Natl Clin Res Ctr Oral Dis,State Key Lab Oral Dis, Chengdu 610041, Sichuan, Peoples R China; [Chen, Qianming] Zhejiang Univ, Affiliated Stomatol Hosp, Key Lab Oral Biomed Res Zhejiang Prov, Sch Stomatol, Hangzhou 310006, Zhejiang, Peoples R China"

通信作者："Xu, H (通讯作者)，Sichuan Univ, Chinese Acad Med Sci, West China Hosp Stomatol,Res Unit Oral Carcinogene, Natl Clin Res Ctr Oral Dis,State Key Lab Oral Dis, Chengdu 610041, Sichuan, Peoples R China.; Chen, QM (通讯作者)，Zhejiang Univ, Affiliated Stomatol Hosp, Key Lab Oral Biomed Res Zhejiang Prov, Sch Stomatol, Hangzhou 310006, Zhejiang, Peoples R China."

来源：ORAL DISEASES

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001021962500001

JCR分区：Q1

影响因子：2.9

年份：2023

卷号：　

期号：　

开始页：　

结束页：　

文献类型：Article; Early Access

关键词：clinical outcome; immunity; molecular typing; oral lichen planus

摘要："Objectives: The molecular characteristics of oral lichen planus (OLP) are still unclear, and it is not possible to distinguish the clinical outcome of OLP patients in a short period of time for follow-up. Here, we investigate the molecular characteristics of lesions in patients with stable lichen planus (SOLP) and recalcitrant erosive oral lichen planus (REOLP).Methods: Our clinical follow-up cohort was split into SOLP and REOLP groups based on the follow-up clinical data. The core modules associated with the clinical information were identified by weighted gene co-expression network analysis (WGCNA). The OLP cohort samples were divided into two groups by molecular typing, and a prediction model for OLP was created by training neural networks with the neuralnet package.Results: We screened 546 genes in five modules. After doing a molecular type of OLP, it was determined that B cells might have a significant impact on the clinical outcome of OLP. In addition, by means of machine learning, a prediction model was developed to predict the clinical regression of OLP with greater accuracy than the existing clinical diagnostic.Conclusions: Our study revealed humoral immune disorders may make an important contribution to the clinical outcome of OLP."

基金机构："National Natural Science Foundation of China [81730030, 82001059, 81771086]; Sichuan Provincial Department of Science and Technology [2022YFS0039]; CAMS Innovation Fund for Medical Sciences (CIFMS) [2019-I2M-5-004]"

基金资助正文："CAMS Innovation Fund for Medical Sciences, Grant/Award Number: CIFMS, 2019-I2M-5-004; National Natural Science Foundation of China, Grant/Award Number: 81730030, 82001059 and 81771086; Sichuan Provincial Department of science and technology, Grant/Award Number: 2022YFS0039"