Oral diseasesPub Date : 2025-04-02DOI: 10.1111/odi.15336
Bo Li, Zhang Zhao, Yu Huang, Hanchen Zhou, Xue Zhang, Chuanbin Guo, Wei Wei, Na Ge, Wei Cao, Zhien Feng
{"title":"The Application of Adjuvant Radiotherapy in pN1 OSCC Patients Without Adverse Pathologic Features.","authors":"Bo Li, Zhang Zhao, Yu Huang, Hanchen Zhou, Xue Zhang, Chuanbin Guo, Wei Wei, Na Ge, Wei Cao, Zhien Feng","doi":"10.1111/odi.15336","DOIUrl":"https://doi.org/10.1111/odi.15336","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to assess the necessity of adjuvant radiotherapy for oral squamous cell carcinoma patients with a pN1 stage and no adverse pathological features.</p><p><strong>Patients and methods: </strong>This was a multicenter cohort study including 231 patients.</p><p><strong>Results: </strong>Among the enrolled patients, 171 received adjuvant radiotherapy, and 60 did not. According to the Kaplan-Meier survival analysis, there were no significant differences between the two groups in terms of disease-free survival (59.5% vs. 58.3%, p = 0.938), overall survival (73.1% vs. 75.0%, p = 0.936), and disease-specific survival (74.9% vs. 76.7%, p = 0.914). In patients with local/regional recurrence after surgery, after-recurrence survival (34.8% vs. 44.0%, p = 0.197) was not significantly different. Analysis by T stage revealed no significant differences in disease-free survival (60.9% vs. 75.0%, p = 0.084), overall survival (73.6% vs. 90.6%, p = 0.053) and disease-specific survival (75.8% vs. 90.6%, p = 0.072) for T1-2 patients between the radiotherapy and non-radiotherapy groups. The results revealed statistically significant differences in disease-free survival (57.9% vs. 39.3%, p = 0.030), overall survival (72.4% vs. 57.1%, p = 0.034) and disease-specific survival (73.7% vs. 60.7%, p = 0.049) between the two groups.</p><p><strong>Conclusions: </strong>Adjuvant radiotherapy does not improve the prognosis of T1-2N1M0 patients without adverse pathological features; however, adjuvant radiotherapy should be recommended for T3-4aN1M0 patients.</p>","PeriodicalId":19615,"journal":{"name":"Oral diseases","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143772828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oral diseasesPub Date : 2025-03-31DOI: 10.1111/odi.15322
Hye-Kyoung Kim, Insoon Chang, Sung-Hoon Lee
{"title":"Serum Biomarkers and Their Clinical Correlates in Traumatic Trigeminal Neuropathy: A Pilot Study.","authors":"Hye-Kyoung Kim, Insoon Chang, Sung-Hoon Lee","doi":"10.1111/odi.15322","DOIUrl":"https://doi.org/10.1111/odi.15322","url":null,"abstract":"<p><strong>Objectives: </strong>This study aims to investigate the serum biomarker levels in patients with painful post-traumatic trigeminal neuropathy (PPTTN) and explore the associations between these biomarkers and the clinical and psychological characteristics of the patients.</p><p><strong>Materials and methods: </strong>A total of 32 patients with PPTTN were included. Serum levels of various cytokines and neurotrophic factors were measured. Patients were assessed for clinical and psychological characteristics, including pain severity, pain interference, numbness severity, and symptom duration as well as psychological factors using validated questionnaires.</p><p><strong>Results: </strong>No significant differences in serum biomarker levels were found based on age, sex, pain severity, pain interference, or type of injured nerve after adjusting multiple comparisons. Significant differences were observed in interleukin-8 (IL-8) and brain-derived neurotrophic factor (BDNF) levels based on symptom duration, with higher levels in patients whose symptoms lasted for more than 6 months. Spearman correlation analysis revealed strong relationships between clinical and psychological variables. Pain outcomes were more strongly associated with psychological factors than with serum biomarkers.</p><p><strong>Conclusion: </strong>IL-8 and BDNF may be biomarkers for disease progression in PPTTN based on symptom duration, with pain outcomes more related to psychological factors rather than serum biomarker levels, highlighting the need for psychological support in management.</p>","PeriodicalId":19615,"journal":{"name":"Oral diseases","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143753404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oral diseasesPub Date : 2025-03-31DOI: 10.1111/odi.15332
Brunno Santos de Freitas Silva, Lucila Valadão Sant'ana Tertuliano Trovão, Eleazar Mezaiko, Tiago Paiva Prudente, Reuber Mendes Rocha, Alan Roger Santos-Silva, Saman Warnakulasuriya, Fernanda Paula Yamamoto-Silva
{"title":"Trends in the Adoption of Terminology for Oral Potentially Malignant Disorders.","authors":"Brunno Santos de Freitas Silva, Lucila Valadão Sant'ana Tertuliano Trovão, Eleazar Mezaiko, Tiago Paiva Prudente, Reuber Mendes Rocha, Alan Roger Santos-Silva, Saman Warnakulasuriya, Fernanda Paula Yamamoto-Silva","doi":"10.1111/odi.15332","DOIUrl":"https://doi.org/10.1111/odi.15332","url":null,"abstract":"","PeriodicalId":19615,"journal":{"name":"Oral diseases","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143753589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oral diseasesPub Date : 2025-03-31DOI: 10.1111/odi.15330
Michele Nieri, Lapo Serni, Tommaso Clauser, Costanza Paoletti, Lorenzo Franchi
{"title":"Diagnosis of Oral Cancer With Deep Learning. A Comparative Test Accuracy Systematic Review.","authors":"Michele Nieri, Lapo Serni, Tommaso Clauser, Costanza Paoletti, Lorenzo Franchi","doi":"10.1111/odi.15330","DOIUrl":"https://doi.org/10.1111/odi.15330","url":null,"abstract":"<p><strong>Objective: </strong>To directly compare the diagnostic accuracy of deep learning models with human experts and other diagnostic methods used for the clinical detection of oral cancer.</p><p><strong>Methods: </strong>Comparative diagnostic studies involving patients with photographic images of oral mucosal lesions (cancer or non-cancer) were included. Only studies using deep learning methods were eligible. Medline, EMBASE, Scopus, Google Scholar, and ClinicalTrials.gov were searched until September 2024. QUADAS-C assessed the risk of bias. A Bayesian meta-analysis compared diagnostic test accuracy.</p><p><strong>Results: </strong>Eight studies were included, none of which had a low risk of bias. Three studies compared deep learning versus human experts. The difference in sensitivity favored deep learning by 0.024 (95% CI: -0.093, 0.206), while the difference in specificity favored human experts by -0.041 (95% CI: -0.218, 0.038). Two studies compared deep learning versus postgraduate medical students. The differences in sensitivity and specificity favored deep learning by 0.108 (95% CI: -0.038, 0.324) and by 0.010 (95% CI: -0.119, 0.111), respectively. Both comparisons provided low-level evidence.</p><p><strong>Conclusions: </strong>Deep learning models showed comparable sensitivity and specificity to human experts. These models outperformed postgraduate medical students in terms of sensitivity. Prospective clinical trials are needed to evaluate the real-world performance of deep learning models.</p>","PeriodicalId":19615,"journal":{"name":"Oral diseases","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143753422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oral diseasesPub Date : 2025-03-27DOI: 10.1111/odi.15328
Giovanna P Florezi, Mônica Teresa Veneziano Labate, Carlos Alberto Labate, Felippe P Barone, Silvia Vanessa Lourenço
{"title":"Functional Genomics Using High-Throughput Methods for Salivary Analysis in Sjögren's Disease.","authors":"Giovanna P Florezi, Mônica Teresa Veneziano Labate, Carlos Alberto Labate, Felippe P Barone, Silvia Vanessa Lourenço","doi":"10.1111/odi.15328","DOIUrl":"https://doi.org/10.1111/odi.15328","url":null,"abstract":"<p><strong>Objectives: </strong>Primary Sjögren's disease (SjD) is a slow-progressing autoimmune disease that affects salivary and lacrimal glands, causing dry eyes (xerophthalmia) and dry mouth (xerostomia). Diagnosing SjD involves clinical, serological, and histological assessments, but reliable biomarkers are lacking.</p><p><strong>Methods: </strong>This study analyzed the metabolic and proteomic profiles of 19 female SjD patients (based on ACR-EULAR criteria) compared to 20 healthy individuals. Saliva and blood samples were analyzed using mass spectrometry and chromatography. Proteomic analysis was performed with the nanoElute nanoflow system coupled to a timsTof-Pro mass spectrometer, and metabolic profiling with a GC-TOF/MS Pegasus HT.</p><p><strong>Results: </strong>Statistical tests identified significant differences in metabolites and proteins between SjD patients and controls. Metabolome analysis revealed changes in amino acid synthesis, purine and lipid metabolism, and exposure to external compounds. Proteomic analysis indicated immune-related proteins and inflammatory lipid metabolism. GNAI2, B2MG, NGAL, SLUR2, HS90, SODC, and A2GL emerged as potential biomarkers for SjD.</p><p><strong>Conclusion: </strong>This study demonstrates the potential of high-performance techniques in identifying biomarkers for SjD diagnosis and prognosis. Data are available via ProteomeXchange (PXD055629).</p>","PeriodicalId":19615,"journal":{"name":"Oral diseases","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143720844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"P. gingivalis OMVs Attenuate the Osteogenesis of PDLSCs by Activating PERK Signaling.","authors":"Yingying Huang, Xiaoning He, Jiangwei Liao, Dihao Tao, Hanzhe Wang, Bei Li, Zhiwei Dong, Junjie Wu","doi":"10.1111/odi.15320","DOIUrl":"https://doi.org/10.1111/odi.15320","url":null,"abstract":"<p><strong>Objective: </strong>The Porphyromonas gingivalis outer membrane vesicles (P. gingivalis OMVs) carry toxins that contribute to the onset and progression of periodontitis. These OMVs have been implicated in host cell invasion and damage. This study aimed to determine the role and potential mechanisms of P. gingivalis OMVs on periodontal inflammation.</p><p><strong>Methods: </strong>A model of PDLSCs induced by P. gingivalis OMVs was developed, and changes in their biological functions were examined. We established a rat periodontitis model to confirm whether P. gingivalis OMV promotes the periodontal inflammatory phenotype. Additionally, the potential mechanisms by which P. gingivalis OMVs impair the osteogenic differentiation capacity of PDLSCs were investigated.</p><p><strong>Results: </strong>P. gingivalis OMVs inhibited the proliferation, promoted apoptosis and suppressed the osteogenesis of PDLSCs, while promoting periodontal inflammatory phenotype in vivo. Furthermore, mechanistic studies revealed that pretreatment of PDLSCs with 4-phenylbutyric acid (4-PBA) prevented the P. gingivalis OMVs-induced activation of the PERK pathway and restored the osteogenesis of PDLSCs.</p><p><strong>Conclusions: </strong>We demonstrate that P. gingivalis OMV exacerbates the periodontitis phenotype and inhibits the regenerative function of PDLSCs, potentially through mechanisms involving endoplasmic reticulum dysfunction.</p>","PeriodicalId":19615,"journal":{"name":"Oral diseases","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143720849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oral diseasesPub Date : 2025-03-27DOI: 10.1111/odi.15331
Hye Kyoung Kim
{"title":"Statistical Validation of Unsupervised Clustering for Adolescent TMD: A Cross-Sectional Study.","authors":"Hye Kyoung Kim","doi":"10.1111/odi.15331","DOIUrl":"https://doi.org/10.1111/odi.15331","url":null,"abstract":"<p><strong>Objective: </strong>This study employs unsupervised clustering to identify Temporomandibular disorders (TMD) phenotypes in adolescents, aiming to identify distinct clusters based on biopsychosocial features. It compares these clusters with conventional TMD classifications to assess if this method offers enhanced insights into TMD diagnosis.</p><p><strong>Methods: </strong>Data from 662 adolescent patients with TMD were analyzed using unsupervised clustering and classified into four groups based on DC/TMD Axis I: 1 (disc displacement), 2 (joint pain), 3 (muscle pain), and 4 (combined joint and muscle pain). Patient-reported outcomes were measured with instruments including the Brief Pain Inventory, the Pain Catastrophizing Scale, the Symptom Checklist-90-Revised, and the Pittsburgh Sleep Quality Index. Statistical analyses validated the clusters against conventional classifications.</p><p><strong>Results: </strong>Three distinct clusters were identified: High Impact (n = 70), Mild Symptoms (n = 423), and High Catastrophizing (n = 169), each displaying unique patterns in pain severity, pain catastrophizing, psychological distress, and sleep disturbances. Multinomial logistic regression of conventional TMD classifications revealed that only pain severity significantly differentiated the subcategories among these biopsychosocial factors.</p><p><strong>Conclusions: </strong>The findings underscore the variability in TMD presentations among adolescents and suggest that integrating phenotyping into the conventional diagnostic approach could significantly improve diagnostic accuracy and treatment outcomes, facilitating better management of high-risk adolescent patients.</p>","PeriodicalId":19615,"journal":{"name":"Oral diseases","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143720782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oral diseasesPub Date : 2025-03-27DOI: 10.1111/odi.15329
Márcio Diniz-Freitas, Pedro Diz-Dios
{"title":"Physicians, Dentists, and Oral Diseases: The Never-Ending Story.","authors":"Márcio Diniz-Freitas, Pedro Diz-Dios","doi":"10.1111/odi.15329","DOIUrl":"https://doi.org/10.1111/odi.15329","url":null,"abstract":"","PeriodicalId":19615,"journal":{"name":"Oral diseases","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143720850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"FTO Promotes Osteogenic Differentiation of Human BMSCs via Demethylation of TGFB2 m<sup>6</sup>A Modifications.","authors":"Xingyang Li, Wanyi Chen, Wenchao Zhong, Lecheng Tan, Kaitong Deng, Wei Cao, Mingjing Zhu, Antong Wu, Ziyi Zhang, Yuzhuo Hei, Siqing Jiang, Xin Li, Rui Li, Wenyi Cai, Janak L Pathak, Qingbin Zhang","doi":"10.1111/odi.15324","DOIUrl":"https://doi.org/10.1111/odi.15324","url":null,"abstract":"<p><strong>Objective: </strong>To elucidate the role of m<sup>6</sup>A modification in the osteogenic differentiation of human BMSCs (hBMSCs) and the underlying mechanisms.</p><p><strong>Materials & methods: </strong>In this research, we analyzed the m<sup>6</sup>A modification and its impact on mRNA expression and osteogenic differentiation of hBMSCs. FTO was knocked down in hBMSCs using shRNAs, and the effect on osteogenic differentiation was evaluated. m<sup>6</sup>A-seq was performed to identify key m<sup>6</sup>A-methylation mRNAs during osteogenic differentiation. TGFB2 was knocked down to validate its role in FTO-regulated m<sup>6</sup>A-methylation-mediated osteogenesis.</p><p><strong>Results: </strong>We found downregulated global m<sup>6</sup>A modification in osteogenically differentiating hBMSCs. m<sup>6</sup>A eraser FTO expression was upregulated during the osteogenic differentiation of hBMSCs. FTO knockdown inhibited the osteogenic differentiation of hBMSCs. Downregulation of mRNA m<sup>6</sup>A modification was prominent in osteogenically differentiating hBMSCs. mRNA m<sup>6</sup>A modifications in osteogenically differentiating hBMSCs were mainly attributed to MAPK, focal adhesion, and TGFβ signaling. Finally, we revealed that FTO demethylates m<sup>6</sup>A abundance of TGFB2, promoting the TGFB2 expression in hBMSCs. Knockdown of TGFB2 inhibited the osteogenic differentiation of hBMSCs.</p><p><strong>Conclusion: </strong>These results indicate that upregulated m<sup>6</sup>A eraser FTO downregulates m<sup>6</sup>A modifications promoting TGFB2 expression in hBMSCs that trigger osteogenic differentiation, suggesting activation of FTO or TGFB2 as a strategy to promote hBMSC-based bone defect repair.</p>","PeriodicalId":19615,"journal":{"name":"Oral diseases","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143700616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oral diseasesPub Date : 2025-03-24DOI: 10.1111/odi.15319
Gennaro Musella, Martina Coppini, Fábio França Vieira E Silva, Giuseppina Campisi, Mario Pérez-Sayáns, Vito Carlo Alberto Caponio, Alejandro I Lorenzo-Pouso
{"title":"Tumor-Stroma Ratio in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis.","authors":"Gennaro Musella, Martina Coppini, Fábio França Vieira E Silva, Giuseppina Campisi, Mario Pérez-Sayáns, Vito Carlo Alberto Caponio, Alejandro I Lorenzo-Pouso","doi":"10.1111/odi.15319","DOIUrl":"https://doi.org/10.1111/odi.15319","url":null,"abstract":"<p><strong>Background: </strong>Tumor-stroma ratio (TSR) has been recognized as a significant prognostic factor in various cancers. This systematic review evaluates the role of TSR in head and neck squamous cell carcinoma (HNSCC) and its association with patient outcomes such as overall survival (OS), disease-free survival (DFS), disease-specific survival (DSS), and lymph node metastasis (LNM).</p><p><strong>Methods: </strong>A comprehensive search was conducted across Scopus, Embase, PubMed, and Web of Science. Nineteen studies were included. Data extraction and quality assessment were performed progressively, with meta-analyses. All studies assessed TSR using hematoxylin and eosin staining of tissue samples. The meta-analyses focused on the impact of TSR on OS, DFS, DSS, and LNM, providing pooled hazard ratios (HRs) and odds ratios (ORs) with corresponding confidence intervals (CIs).</p><p><strong>Results: </strong>Meta-analysis revealed a significant association between TSR and OS (HR 1.99, 95% CI 1.71-2.32, p < 0.001), DFS (HR 2.07, 95% CI 1.80-2.39, p < 0.001), DSS (HR 2.33, 95% CI 1.95-2.78, p < 0.001), and LNM (OR 1.76, 95% CI 1.15-2.70, p = 0.01). Minimal to low heterogeneity was detected among studies, and no publication bias was observed.</p><p><strong>Conclusions: </strong>TSR can effectively identify high-risk patients, being a reliable prognostic marker that could be readily integrated into routine pathology practice for HNSCC.</p>","PeriodicalId":19615,"journal":{"name":"Oral diseases","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143700833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}