Emerging research has identified the N6-methyladenosine (m6A) modification and its regulatory enzymes, including methyltransferase 5 (METTL5), as critical players in cancer biology. However, the role of METTL5 in oral squamous cell carcinoma (OSCC) remains poorly understood.
Materials and Methods
We conducted a comprehensive study to investigate the expression and implications of METTL5 in OSCC. We recruited 76 OSCC patients to analyze METTL5 mRNA and protein expression using RT-qPCR and western blot. Additionally, we analyzed METTL5 expression and its correlation with clinical features, patient prognosis, immune cell infiltration, and biological pathways using the TCGA-HNSCC dataset, which primarily consists of OSCC samples.
Results
Our findings revealed significant overexpression of METTL5 in OSCC tissues compared to normal tissues. The high expression of METTL5 is associated with advanced cancer stages, higher tumor grades, nodal metastasis, and poorer patient outcomes, indicating its involvement in cancer progression. In silico functional analysis revealed that METTL5 plays a role in multiple biological pathways, highlighting its importance in cancer biology. Moreover, METTL5 has complex relationships with immune regulatory genes, suggesting its potential role in shaping the tumor immune microenvironment.
Conclusion
METTL5 is a promising candidate for the prognosis and therapeutic intervention of OSCC. Its overexpression in cancer tissues, association with clinical features, and intricate links to immune regulatory networks underscore its significance in this malignancy. This study contributes to a deeper understanding of the complex factors influencing OSCC, and provides a foundation for future research and potential clinical applications.
{"title":"The novel m6A writer methyltransferase 5 is a promising prognostic biomarker and associated with immune cell infiltration in oral squamous cell carcinoma","authors":"Priyadharshini Muthumanickam, Abilasha Ramasubramanian, Chandra Pandi, Balachander Kannan, Anitha Pandi, Pratibha Ramani, Vijayashree Priyadharsini Jayaseelan, Paramasivam Arumugam","doi":"10.1111/jop.13568","DOIUrl":"10.1111/jop.13568","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Emerging research has identified the N6-methyladenosine (m6A) modification and its regulatory enzymes, including methyltransferase 5 (METTL5), as critical players in cancer biology. However, the role of METTL5 in oral squamous cell carcinoma (OSCC) remains poorly understood.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>We conducted a comprehensive study to investigate the expression and implications of METTL5 in OSCC. We recruited 76 OSCC patients to analyze METTL5 mRNA and protein expression using RT-qPCR and western blot. Additionally, we analyzed METTL5 expression and its correlation with clinical features, patient prognosis, immune cell infiltration, and biological pathways using the TCGA-HNSCC dataset, which primarily consists of OSCC samples.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Our findings revealed significant overexpression of METTL5 in OSCC tissues compared to normal tissues. The high expression of METTL5 is associated with advanced cancer stages, higher tumor grades, nodal metastasis, and poorer patient outcomes, indicating its involvement in cancer progression. In silico functional analysis revealed that METTL5 plays a role in multiple biological pathways, highlighting its importance in cancer biology. Moreover, METTL5 has complex relationships with immune regulatory genes, suggesting its potential role in shaping the tumor immune microenvironment.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>METTL5 is a promising candidate for the prognosis and therapeutic intervention of OSCC. Its overexpression in cancer tissues, association with clinical features, and intricate links to immune regulatory networks underscore its significance in this malignancy. This study contributes to a deeper understanding of the complex factors influencing OSCC, and provides a foundation for future research and potential clinical applications.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16588,"journal":{"name":"Journal of Oral Pathology & Medicine","volume":"53 8","pages":"521-529"},"PeriodicalIF":2.7,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141468792","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}
The challenges faced by the massive increase in scientific publications draw parallels to the Larsen effect, where an amplified sound loop leads to escalating noise. This phenomenon has resulted in information overload, making it difficult for researchers to stay updated and identify significant findings. To address this, knowledge synthesis techniques are recommended. These methods help synthesize and visualize large bodies of literature, aiding researchers in navigating the expanding information landscape. Furthermore, artificial intelligence (AI) and natural language processing tools, such as text summarization, offer innovative solutions for managing information overload. However, the overuse of AI in producing scientific literature raises concerns about the quality and integrity of research. This manuscript highlights the need for balanced use of AI tools and collaborative efforts to maintain high-quality scientific output while leveraging the benefits of extensive research.
{"title":"Unveiling the Larsen effect in the scientific literature domain: Navigating quality amidst the artificial intelligence-driven deluge","authors":"Luca D'Aniello","doi":"10.1111/jop.13569","DOIUrl":"10.1111/jop.13569","url":null,"abstract":"<p>The challenges faced by the massive increase in scientific publications draw parallels to the Larsen effect, where an amplified sound loop leads to escalating noise. This phenomenon has resulted in information overload, making it difficult for researchers to stay updated and identify significant findings. To address this, knowledge synthesis techniques are recommended. These methods help synthesize and visualize large bodies of literature, aiding researchers in navigating the expanding information landscape. Furthermore, artificial intelligence (AI) and natural language processing tools, such as text summarization, offer innovative solutions for managing information overload. However, the overuse of AI in producing scientific literature raises concerns about the quality and integrity of research. This manuscript highlights the need for balanced use of AI tools and collaborative efforts to maintain high-quality scientific output while leveraging the benefits of extensive research.</p>","PeriodicalId":16588,"journal":{"name":"Journal of Oral Pathology & Medicine","volume":"53 6","pages":"331-333"},"PeriodicalIF":2.7,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141457495","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}
Wang XJ, Xu SJ, Fu T, Wu Y, Sun WL. Combination of downregulating FEN1 and PD-1 blockade enhances antitumor activity of CD8+ T cells against HNSCC cells in vitro. J Oral Pathol Med. 2023;52(9):834–842.
We apologize for this error.
Wang XJ, Xu SJ, Fu T, Wu Y, Sun WL.联合下调 FEN1 和 PD-1 阻断可增强体外 CD8+ T 细胞对 HNSCC 细胞的抗肿瘤活性J Oral Pathol Med.2023;52(9):834-842.We apologize for this error.
{"title":"Corrigendum to “Combination of downregulating FEN1 and PD-1 blockade enhances antitumor activity of CD8+ T cells against HNSCC cells in vitro”","authors":"","doi":"10.1111/jop.13571","DOIUrl":"10.1111/jop.13571","url":null,"abstract":"<p>Wang XJ, Xu SJ, Fu T, Wu Y, Sun WL. Combination of downregulating FEN1 and PD-1 blockade enhances antitumor activity of CD8+ T cells against HNSCC cells in vitro. J Oral Pathol Med. 2023;52(9):834–842.</p><p>We apologize for this error.</p>","PeriodicalId":16588,"journal":{"name":"Journal of Oral Pathology & Medicine","volume":"53 6","pages":"414"},"PeriodicalIF":2.7,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jop.13571","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141457494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The incidence of oral squamous cell carcinoma (OSCC) is increasing, and more effective treatment protocols must rapidly be developed to prevent the death of patients and ensure favorable outcomes. CircRNAs are a unique class of noncoding ribonucleic acid (RNA) molecules unaffected by RNA exonucleases. CircRNAs have more stable expression than linear RNAs and are not readily degraded; therefore, they are the newest focus of RNA research. Here, we analyze the mechanism of hsa_circ_0004771 (circ_0004771) in OSCC to provide a clinical reference.
Methods
Circ_0004771 expression was measured in peripheral blood, cancerous tissues and adjacent tissues of OSCC patients. Patients were followed up for 3 years. The diagnostic value of circ_0004771 for OSCC occurrence, prognosis, recurrence and survival was analyzed with receiver operating characteristic (ROC) curves. OSCC cells were lentivirally transduced with a circ_0004771-silencing or an empty vector to evaluate alterations in cell growth, invasion, and apoptosis. Apoptosis-related and epithelial–mesenchymal transition (EMT)-related protein expression was quantified. BALB/c nude mice were used for tumorigenesis experiments to evaluate tumor growth in vivo after silencing circ_0004771.
Results
Circ_0004771 expression was higher in peripheral blood and cancerous tissue of OSCC patients than in control peripheral blood and paracancerous tissue, respectively, exhibiting excellent predictive value for OSCC occurrence, prognosis, recurrence and survival. Silencing circ_0004771 decreased the growth, invasiveness, and EMT capacity and increased the apoptosis of OCC cells. In mice implanted with OSCC cells transduced with the circ_0004771-silencing lentiviral vector, the tumor growth capacity was obviously decreased.
Conclusion
Silencing circ_0004771 inhibits the malignant growth of OSCC.
{"title":"Circ_0004771 regulates malignant biological behaviors and has clinical significance in oral squamous cell carcinoma","authors":"Rongji Shi, Lei Zhang","doi":"10.1111/jop.13566","DOIUrl":"10.1111/jop.13566","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>The incidence of oral squamous cell carcinoma (OSCC) is increasing, and more effective treatment protocols must rapidly be developed to prevent the death of patients and ensure favorable outcomes. CircRNAs are a unique class of noncoding ribonucleic acid (RNA) molecules unaffected by RNA exonucleases. CircRNAs have more stable expression than linear RNAs and are not readily degraded; therefore, they are the newest focus of RNA research. Here, we analyze the mechanism of hsa_circ_0004771 (circ_0004771) in OSCC to provide a clinical reference.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Circ_0004771 expression was measured in peripheral blood, cancerous tissues and adjacent tissues of OSCC patients. Patients were followed up for 3 years. The diagnostic value of circ_0004771 for OSCC occurrence, prognosis, recurrence and survival was analyzed with receiver operating characteristic (ROC) curves. OSCC cells were lentivirally transduced with a circ_0004771-silencing or an empty vector to evaluate alterations in cell growth, invasion, and apoptosis. Apoptosis-related and epithelial–mesenchymal transition (EMT)-related protein expression was quantified. BALB/c nude mice were used for tumorigenesis experiments to evaluate tumor growth in vivo after silencing circ_0004771.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Circ_0004771 expression was higher in peripheral blood and cancerous tissue of OSCC patients than in control peripheral blood and paracancerous tissue, respectively, exhibiting excellent predictive value for OSCC occurrence, prognosis, recurrence and survival. Silencing circ_0004771 decreased the growth, invasiveness, and EMT capacity and increased the apoptosis of OCC cells. In mice implanted with OSCC cells transduced with the circ_0004771-silencing lentiviral vector, the tumor growth capacity was obviously decreased.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Silencing circ_0004771 inhibits the malignant growth of OSCC.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16588,"journal":{"name":"Journal of Oral Pathology & Medicine","volume":"53 8","pages":"502-510"},"PeriodicalIF":2.7,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141419591","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}
Chao-Fan Bao, Fang Wang, Dong-Yang Zhou, Gang Zhou
Background
Oral lichen planus (OLP) is a common T cell-mediated oral mucosal immune inflammatory disease. Intraepithelial lymphocytes (IELs) are a unique subset of T cells that play an important role in regulating immune response. This study aims to investigate the phenotype and the differentiation mechanism of IELs in OLP.
Methods
The expression of CD4, CD8α, CD8β, T-helper-inducing POZ/Krueppel-like factor (ThPOK), and RUNX family transcription factor 3 (Runx3) in the epithelium and peripheral blood mononuclear cells (PBMCs) of OLP was determined by immunofluorescence and immunohistochemistry. Then, the correlations among them were analyzed. Naïve CD4+ T cells were sorted from blood of OLP patients and stimulated with retinoic acid (RA) and transforming growth factor-β1 (TGF-β1). Then the expression of CD4, CD8α, CD8β, ThPOK, and Runx3 was investigated by immunocytochemistry.
Results
CD8α expression and CD8αα+ cells were upregulated in the epithelium of OLP, whereas they were downregulated in PBMCs of OLP. CD8β was not expressed in the epithelium of OLP. CD4, CD8α, and Runx3 expression and CD4+CD8α+ cells were increased, whereas ThPOK expression was decreased in the epithelium of OLP. CD8α expression was positively correlated with Runx3 expression, whereas ThPOK expression was negatively correlated with Runx3 expression. After RA and TGF-β1 stimulation, CD8α and Runx3 expression was upregulated, and ThPOK expression was downregulated in naïve CD4+ T cells.
Conclusion
CD4+CD8αα+ IELs may be the dominant phenotype of IELs in OLP, and the differentiation of CD4+CD8αα+ IELs in OLP is negatively regulated by ThPOK and positively regulated by Runx3.
{"title":"CD4+CD8αα+ is the dominant phenotype of intraepithelial lymphocytes and regulated by ThPOK and Runx3 in oral lichen planus","authors":"Chao-Fan Bao, Fang Wang, Dong-Yang Zhou, Gang Zhou","doi":"10.1111/jop.13564","DOIUrl":"10.1111/jop.13564","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Oral lichen planus (OLP) is a common T cell-mediated oral mucosal immune inflammatory disease. Intraepithelial lymphocytes (IELs) are a unique subset of T cells that play an important role in regulating immune response. This study aims to investigate the phenotype and the differentiation mechanism of IELs in OLP.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The expression of CD4, CD8α, CD8β, T-helper-inducing POZ/Krueppel-like factor (ThPOK), and RUNX family transcription factor 3 (Runx3) in the epithelium and peripheral blood mononuclear cells (PBMCs) of OLP was determined by immunofluorescence and immunohistochemistry. Then, the correlations among them were analyzed. Naïve CD4<sup>+</sup> T cells were sorted from blood of OLP patients and stimulated with retinoic acid (RA) and transforming growth factor-β<sub>1</sub> (TGF-β<sub>1</sub>). Then the expression of CD4, CD8α, CD8β, ThPOK, and Runx3 was investigated by immunocytochemistry.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>CD8α expression and CD8αα<sup>+</sup> cells were upregulated in the epithelium of OLP, whereas they were downregulated in PBMCs of OLP. CD8β was not expressed in the epithelium of OLP. CD4, CD8α, and Runx3 expression and CD4<sup>+</sup>CD8α<sup>+</sup> cells were increased, whereas ThPOK expression was decreased in the epithelium of OLP. CD8α expression was positively correlated with Runx3 expression, whereas ThPOK expression was negatively correlated with Runx3 expression. After RA and TGF-β<sub>1</sub> stimulation, CD8α and Runx3 expression was upregulated, and ThPOK expression was downregulated in naïve CD4<sup>+</sup> T cells.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>CD4<sup>+</sup>CD8αα<sup>+</sup> IELs may be the dominant phenotype of IELs in OLP, and the differentiation of CD4<sup>+</sup>CD8αα<sup>+</sup> IELs in OLP is negatively regulated by ThPOK and positively regulated by Runx3.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16588,"journal":{"name":"Journal of Oral Pathology & Medicine","volume":"53 7","pages":"480-490"},"PeriodicalIF":2.7,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141310878","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}
Jelena Carkic, Nadja Nikolic, Violeta Sango, Nicole Riberti, Boban Anicic, Jelena Milasin
Background
Salivary gland tumors (SGTs) are a heterogenous group of pathologies, which still represents a challenge regarding differential diagnosis and therapy. Although histological findings govern SGTs management, detection of molecular alterations is emerging as an effective additional tool. The aim of this study was to analyze the relative expression levels of three micro RNAs (miR-26a, miR-26b, and miR-191), and three pro-oncogenic molecular markers (PLAG1, MTDH, and HIF2) in SGTs and normal salivary gland (NSG) tissues and evaluate them as potential differential diagnosis markers.
Methods
This cross-sectional study included 58 patients with SGTs (23 pleomorphic adenomas, 27 Warthin tumors, and 8 malignant SGTs) and 10 controls (normal salivary gland tissues). Relative gene expression levels of all investigated molecules were determined by reverse transcriptase-real-time polymerase chain reaction.
Results
All three micro RNAs exhibited highest expression levels in benign SGTs, whereas miR-26a And miR-191 were significantly more expressed in PAs compared to WTs (p = 0.045 and p = 0.029, respectively). PLAG1 And HIF2 were both overexpressed in WTs compared to PAs (p = 0.048 and p = 0.053, respectively). Bioinformatic analysis suggested that all investigated micro RNAs function as negative regulators of MTDH.
Conclusion
The results of this study suggest that all three micro RNAs have a considerable negative impact on MTDH oncogene expression in malignant tumors, while the differences between levels of miR-26a, miR-191, PLAG1, and HIF2 in PA and WT represent possible differential diagnosis markers.
背景：唾液腺肿瘤（SGTs）是一类异质性病变，在鉴别诊断和治疗方面仍是一项挑战。尽管组织学检查结果决定着 SGTs 的治疗，但分子改变的检测正成为一种有效的补充工具。本研究旨在分析三种微RNA（miR-26a、miR-26b和miR-191）和三种促癌分子标记物（PLAG1、MTDH和HIF2）在SGTs和正常唾液腺（NSG）组织中的相对表达水平，并评估它们作为潜在鉴别诊断标记物的作用：这项横断面研究包括 58 名 SGT 患者（23 名多形性腺瘤患者、27 名 Warthin 肿瘤患者和 8 名恶性 SGT 患者）和 10 名对照组（正常唾液腺组织）。通过逆转录酶实时聚合酶链反应测定了所有研究分子的相对基因表达水平：结果：所有三种微小 RNA 在良性 SGTs 中的表达水平最高，而 miR-26a 和 miR-191 在 PAs 中的表达明显高于 WTs（分别为 p = 0.045 和 p = 0.029）。与 PAs 相比，PLAG1 和 HIF2 在 WTs 中均表达过高（分别为 p = 0.048 和 p = 0.053）。生物信息学分析表明，所有研究的微RNA都是MTDH的负调控因子：本研究结果表明，所有三种微小 RNA 对恶性肿瘤中 MTDH 致癌基因的表达都有相当大的负面影响，而 PA 和 WT 中 miR-26a、miR-191、PLAG1 和 HIF2 水平的差异是可能的鉴别诊断标志物。
{"title":"MiR-26a and miR-191 are upregulated while PLAG1 and HIF2 are downregulated in pleomorphic adenomas of the salivary glands compared to Warthin tumors","authors":"Jelena Carkic, Nadja Nikolic, Violeta Sango, Nicole Riberti, Boban Anicic, Jelena Milasin","doi":"10.1111/jop.13565","DOIUrl":"10.1111/jop.13565","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Salivary gland tumors (SGTs) are a heterogenous group of pathologies, which still represents a challenge regarding differential diagnosis and therapy. Although histological findings govern SGTs management, detection of molecular alterations is emerging as an effective additional tool. The aim of this study was to analyze the relative expression levels of three micro RNAs (miR-26a, miR-26b, and miR-191), and three pro-oncogenic molecular markers (<i>PLAG1</i>, <i>MTDH</i>, and <i>HIF2</i>) in SGTs and normal salivary gland (NSG) tissues and evaluate them as potential differential diagnosis markers.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This cross-sectional study included 58 patients with SGTs (23 pleomorphic adenomas, 27 Warthin tumors, and 8 malignant SGTs) and 10 controls (normal salivary gland tissues). Relative gene expression levels of all investigated molecules were determined by reverse transcriptase-real-time polymerase chain reaction.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>All three micro RNAs exhibited highest expression levels in benign SGTs, whereas miR-26a And miR-191 were significantly more expressed in PAs compared to WTs (<i>p</i> = 0.045 and <i>p</i> = 0.029, respectively). <i>PLAG1</i> And <i>HIF2</i> were both overexpressed in WTs compared to PAs (<i>p</i> = 0.048 and <i>p</i> = 0.053, respectively). Bioinformatic analysis suggested that all investigated micro RNAs function as negative regulators of <i>MTDH</i>.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The results of this study suggest that all three micro RNAs have a considerable negative impact on <i>MTDH</i> oncogene expression in malignant tumors, while the differences between levels of miR-26a, miR-191, <i>PLAG1</i>, and <i>HIF2</i> in PA and WT represent possible differential diagnosis markers.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16588,"journal":{"name":"Journal of Oral Pathology & Medicine","volume":"53 7","pages":"451-457"},"PeriodicalIF":2.7,"publicationDate":"2024-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141296277","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}
Yeliz Ekici, Merva Soluk-Tekkesin, Umut Can Küçüksezer, Hazal Banu Olgun Celebioglu, Erman Bulent Tuncer, Elcin Bedeloglu, Feyza Nur Tuncer
Background
Recent studies suggest that enoxaparin may have therapeutic effects on oral squamous cell carcinoma. We aimed to assess this effect utilizing xenograft mouse model through evaluations of proliferation and angiogenesis markers at the RNA and protein levels.
Methods
Mice were divided into enoxaparin treatment (n = 4), positive control (n = 4) and negative control (n = 3) groups. Immunohistochemical analyses were performed utilizing Bcl-2, Bax and Ki-67 antibodies. Expression levels of proliferation and apoptosis related genes were calculated utilizing qRT-PCR. Time-dependent proliferation assays were performed in OSC-19 and HEK293 cell-lines.
Results
Bax antibody showed positive staining in the cytoplasm and nuclei of tumor cells, while Bcl-2 antibody displayed staining only in the cytoplasm. A proliferation index of 15%–20% was found in all groups with the Ki-67 marker indicating no metastasis. Enoxaparin treatment caused decrease in BCL2, BAX and CCNB1 genes' expressions. Compared to HEK293, proliferation assays demonstrated higher division rates in OSC-19 with a significant decrease in viability after 96 h.
Conclusion
Reduced BCL-2 expression indicates a regression of tumor growth, but reduced BAX expression is not correlated with increased apoptosis. Despite the aggressive nature of OSC-19, our results showed a low cell viability with a high division rate when compared with the control HEK293. This paralleled our in vivo findings that showed absence of lymph node metastasis across all mice groups. This discrepancy with the literature suggests that further investigations of the underlying mechanisms and protein-level analyses are needed to draw definitive conclusions about the effect of enoxaparin on OSC-19 behavior.
{"title":"The effects of enoxaparin treatment in a xenograft mouse model of oral squamous cell carcinoma: A pilot study","authors":"Yeliz Ekici, Merva Soluk-Tekkesin, Umut Can Küçüksezer, Hazal Banu Olgun Celebioglu, Erman Bulent Tuncer, Elcin Bedeloglu, Feyza Nur Tuncer","doi":"10.1111/jop.13563","DOIUrl":"10.1111/jop.13563","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Recent studies suggest that enoxaparin may have therapeutic effects on oral squamous cell carcinoma. We aimed to assess this effect utilizing xenograft mouse model through evaluations of proliferation and angiogenesis markers at the RNA and protein levels.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Mice were divided into enoxaparin treatment (<i>n</i> = 4), positive control (<i>n</i> = 4) and negative control (<i>n</i> = 3) groups. Immunohistochemical analyses were performed utilizing Bcl-2, Bax and Ki-67 antibodies. Expression levels of proliferation and apoptosis related genes were calculated utilizing qRT-PCR. Time-dependent proliferation assays were performed in OSC-19 and HEK293 cell-lines.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Bax antibody showed positive staining in the cytoplasm and nuclei of tumor cells, while Bcl-2 antibody displayed staining only in the cytoplasm. A proliferation index of 15%–20% was found in all groups with the Ki-67 marker indicating no metastasis. Enoxaparin treatment caused decrease in <i>BCL2</i>, <i>BAX</i> and <i>CCNB1</i> genes' expressions. Compared to HEK293, proliferation assays demonstrated higher division rates in OSC-19 with a significant decrease in viability after 96 h.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Reduced <i>BCL-2</i> expression indicates a regression of tumor growth, but reduced <i>BAX</i> expression is not correlated with increased apoptosis. Despite the aggressive nature of OSC-19, our results showed a low cell viability with a high division rate when compared with the control HEK293. This paralleled our <i>in vivo</i> findings that showed absence of lymph node metastasis across all mice groups. This discrepancy with the literature suggests that further investigations of the underlying mechanisms and protein-level analyses are needed to draw definitive conclusions about the effect of enoxaparin on OSC-19 behavior.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16588,"journal":{"name":"Journal of Oral Pathology & Medicine","volume":"53 7","pages":"491-494"},"PeriodicalIF":2.7,"publicationDate":"2024-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141296278","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}
Giovanna Calabrese dos Santos, Anna Luíza Damaceno Araújo, Henrique Alves de Amorim, Daniela Giraldo-Roldán, Sebastião Silvério de Sousa-Neto, Pablo Agustin Vargas, Luiz Paulo Kowalski, Alan Roger Santos-Silva, Marcio Ajudarte Lopes, Matheus Cardoso Moraes
Background
Neural tumors are difficult to distinguish based solely on cellularity and often require immunohistochemical staining to aid in identifying the cell lineage. This article investigates the potential of a Convolutional Neural Network for the histopathological classification of the three most prevalent benign neural tumor types: neurofibroma, perineurioma, and schwannoma.
Methods
A model was developed, trained, and evaluated for classification using the ResNet-50 architecture, with a database of 30 whole-slide images stained in hematoxylin and eosin (106, 782 patches were generated from and divided among the training, validation, and testing subsets, with strategies to avoid data leakage).
Results
The model achieved an accuracy of 70% (64% normalized), and showed satisfactory results for differentiating two of the three classes, reaching approximately 97% and 77% as true positives for neurofibroma and schwannoma classes, respectively, and only 7% for perineurioma class. The AUROC curves for neurofibroma and schwannoma classes was 0.83%, and 0.74% for perineurioma. However, the specificity rate for the perineurioma class was greater (83%) than in the other two classes (neurofibroma with 61%, and schwannoma with 60%).
Conclusion
This investigation demonstrated significant potential for proficient performance with a limitation regarding the perineurioma class (the limited feature variability observed contributed to a lower performance).
{"title":"Feasibility study of ResNet-50 in the distinction of intraoral neural tumors using histopathological images","authors":"Giovanna Calabrese dos Santos, Anna Luíza Damaceno Araújo, Henrique Alves de Amorim, Daniela Giraldo-Roldán, Sebastião Silvério de Sousa-Neto, Pablo Agustin Vargas, Luiz Paulo Kowalski, Alan Roger Santos-Silva, Marcio Ajudarte Lopes, Matheus Cardoso Moraes","doi":"10.1111/jop.13560","DOIUrl":"10.1111/jop.13560","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Neural tumors are difficult to distinguish based solely on cellularity and often require immunohistochemical staining to aid in identifying the cell lineage. This article investigates the potential of a Convolutional Neural Network for the histopathological classification of the three most prevalent benign neural tumor types: neurofibroma, perineurioma, and schwannoma.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A model was developed, trained, and evaluated for classification using the ResNet-50 architecture, with a database of 30 whole-slide images stained in hematoxylin and eosin (106, 782 patches were generated from and divided among the training, validation, and testing subsets, with strategies to avoid data leakage).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The model achieved an accuracy of 70% (64% normalized), and showed satisfactory results for differentiating two of the three classes, reaching approximately 97% and 77% as true positives for neurofibroma and schwannoma classes, respectively, and only 7% for perineurioma class. The AUROC curves for neurofibroma and schwannoma classes was 0.83%, and 0.74% for perineurioma. However, the specificity rate for the perineurioma class was greater (83%) than in the other two classes (neurofibroma with 61%, and schwannoma with 60%).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This investigation demonstrated significant potential for proficient performance with a limitation regarding the perineurioma class (the limited feature variability observed contributed to a lower performance).</p>\u0000 </section>\u0000 </div>","PeriodicalId":16588,"journal":{"name":"Journal of Oral Pathology & Medicine","volume":"53 7","pages":"444-450"},"PeriodicalIF":2.7,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141237371","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}
Kelly Y. P. Liu, Samson Ng, Maryam Taleghani, Sarah Y. Zhu, Anita Carraro, Zhaoyang Chen, Branko Palcic, Catherine F. Poh, Martial Guillaud
Background
Despite the oral cavity being readily accessible, oral cancer (OC) remains a significant burden. The objective of this study is to develop a DNA ploidy-based cytology test for early detection of high-risk oral lesions.
Methods
This retrospective study was conducted using 569 oral brushing samples collected from 95 normal and 474 clinically abnormal mucosa with biopsy diagnosis of reactive, low-grade or high-grade precancer or cancers. Brushing cells were processed to characterize DNA ploidy. A two-step DNA ploidy-based algorithm, the DNA ploidy oral cytology (DOC) test, was developed using a training set, and verified in test and validation sets to differentiate high-grade lesions (HGLs) from normal. The prognostic value of the test was evaluated by an independent outcome cohort, including progressed and non-progressing normal, reactive and low-grade lesions. Classification performance was assessed by accuracy, sensitivity, and specificity, while the prognostic value was evaluated by using the Cox proportional hazards analysis on 3-year progression-free survival (PFS).
Results
The developed DOC test exhibited high accuracy for detecting HGLs in the test and validation sets, with a sensitivity of 0.97 and 0.96, respectively. Its application to the Outcome cohort demonstrated significant prognostic value for 3-year PFS (log rank, p < 0.001). Multivariate analysis showed that high-grade pathology was the only variable explaining positive DOC test, not age, smoking, or lesional site.
Conclusion
Clinical implementation of the DOC test could provide an effective screening method for detecting HGLs for biopsy and lesions at risk of progression.
{"title":"Oral cancer detection and progression prediction using noninvasive cytology-based DNA ploidy approach","authors":"Kelly Y. P. Liu, Samson Ng, Maryam Taleghani, Sarah Y. Zhu, Anita Carraro, Zhaoyang Chen, Branko Palcic, Catherine F. Poh, Martial Guillaud","doi":"10.1111/jop.13562","DOIUrl":"10.1111/jop.13562","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Despite the oral cavity being readily accessible, oral cancer (OC) remains a significant burden. The objective of this study is to develop a DNA ploidy-based cytology test for early detection of high-risk oral lesions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This retrospective study was conducted using 569 oral brushing samples collected from 95 normal and 474 clinically abnormal mucosa with biopsy diagnosis of reactive, low-grade or high-grade precancer or cancers. Brushing cells were processed to characterize DNA ploidy. A two-step DNA ploidy-based algorithm, the DNA ploidy oral cytology (DOC) test, was developed using a training set, and verified in test and validation sets to differentiate high-grade lesions (HGLs) from normal. The prognostic value of the test was evaluated by an independent outcome cohort, including progressed and non-progressing normal, reactive and low-grade lesions. Classification performance was assessed by accuracy, sensitivity, and specificity, while the prognostic value was evaluated by using the Cox proportional hazards analysis on 3-year progression-free survival (PFS).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The developed DOC test exhibited high accuracy for detecting HGLs in the test and validation sets, with a sensitivity of 0.97 and 0.96, respectively. Its application to the Outcome cohort demonstrated significant prognostic value for 3-year PFS (log rank, <i>p</i> < 0.001). Multivariate analysis showed that high-grade pathology was the only variable explaining positive DOC test, not age, smoking, or lesional site.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Clinical implementation of the DOC test could provide an effective screening method for detecting HGLs for biopsy and lesions at risk of progression.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16588,"journal":{"name":"Journal of Oral Pathology & Medicine","volume":"53 7","pages":"434-443"},"PeriodicalIF":2.7,"publicationDate":"2024-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jop.13562","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141200135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daniela Giraldo-Roldán, Anna Luíza Damaceno Araújo, Matheus Cardoso Moraes, Viviane Mariano da Silva, Erin Crespo Cordeiro Ribeiro, Matheus Cerqueira, Cristina Saldivia-Siracusa, Sebastião Silvério Sousa-Neto, Maria Eduarda Pérez-de-Oliveira, Marcio Ajudarte Lopes, Luiz Paulo Kowalski, André Carlos Ponce de Leon Ferreira de Carvalho, Alan Roger Santos-Silva, Pablo Agustin Vargas
Background
The purpose of this systematic review (SR) is to gather evidence on the use of machine learning (ML) models in the diagnosis of intraosseous lesions in gnathic bones and to analyze the reliability, impact, and usefulness of such models. This SR was performed in accordance with the PRISMA 2022 guidelines and was registered in the PROSPERO database (CRD42022379298).
Methods
The acronym PICOS was used to structure the inquiry-focused review question “Is Artificial Intelligence reliable for the diagnosis of intraosseous lesions in gnathic bones?” The literature search was conducted in various electronic databases, including PubMed, Embase, Scopus, Cochrane Library, Web of Science, Lilacs, IEEE Xplore, and Gray Literature (Google Scholar and ProQuest). Risk of bias assessment was performed using PROBAST, and the results were synthesized by considering the task and sampling strategy of the dataset.
Results
Twenty-six studies were included (21 146 radiographic images). Ameloblastomas, odontogenic keratocysts, dentigerous cysts, and periapical cysts were the most frequently investigated lesions. According to TRIPOD, most studies were classified as type 2 (randomly divided). The F1 score was presented in only 13 studies, which provided the metrics for 20 trials, with a mean of 0.71 (±0.25).
Conclusion
There is no conclusive evidence to support the usefulness of ML-based models in the detection, segmentation, and classification of intraosseous lesions in gnathic bones for routine clinical application. The lack of detail about data sampling, the lack of a comprehensive set of metrics for training and validation, and the absence of external testing limit experiments and hinder proper evaluation of model performance.
{"title":"Artificial intelligence and radiomics in the diagnosis of intraosseous lesions of the gnathic bones: A systematic review","authors":"Daniela Giraldo-Roldán, Anna Luíza Damaceno Araújo, Matheus Cardoso Moraes, Viviane Mariano da Silva, Erin Crespo Cordeiro Ribeiro, Matheus Cerqueira, Cristina Saldivia-Siracusa, Sebastião Silvério Sousa-Neto, Maria Eduarda Pérez-de-Oliveira, Marcio Ajudarte Lopes, Luiz Paulo Kowalski, André Carlos Ponce de Leon Ferreira de Carvalho, Alan Roger Santos-Silva, Pablo Agustin Vargas","doi":"10.1111/jop.13548","DOIUrl":"10.1111/jop.13548","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>The purpose of this systematic review (SR) is to gather evidence on the use of machine learning (ML) models in the diagnosis of intraosseous lesions in gnathic bones and to analyze the reliability, impact, and usefulness of such models. This SR was performed in accordance with the PRISMA 2022 guidelines and was registered in the PROSPERO database (CRD42022379298).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The acronym PICOS was used to structure the inquiry-focused review question “Is Artificial Intelligence reliable for the diagnosis of intraosseous lesions in gnathic bones?” The literature search was conducted in various electronic databases, including PubMed, Embase, Scopus, Cochrane Library, Web of Science, Lilacs, IEEE Xplore, and Gray Literature (Google Scholar and ProQuest). Risk of bias assessment was performed using PROBAST, and the results were synthesized by considering the task and sampling strategy of the dataset.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Twenty-six studies were included (21 146 radiographic images). Ameloblastomas, odontogenic keratocysts, dentigerous cysts, and periapical cysts were the most frequently investigated lesions. According to TRIPOD, most studies were classified as type 2 (randomly divided). The F1 score was presented in only 13 studies, which provided the metrics for 20 trials, with a mean of 0.71 (±0.25).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>There is no conclusive evidence to support the usefulness of ML-based models in the detection, segmentation, and classification of intraosseous lesions in gnathic bones for routine clinical application. The lack of detail about data sampling, the lack of a comprehensive set of metrics for training and validation, and the absence of external testing limit experiments and hinder proper evaluation of model performance.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16588,"journal":{"name":"Journal of Oral Pathology & Medicine","volume":"53 7","pages":"415-433"},"PeriodicalIF":2.7,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141161596","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}
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