Oral Oncology Reports最新文献_第6页

Crosstalk between cancer-associated fibroblasts (CAF) and tumour cells in head and neck cancer - Unraveling the complex pathway and CAF-targeted therapy 头颈癌中癌症相关成纤维细胞（CAF）和肿瘤细胞之间的串扰——揭示复杂通路和CAF靶向治疗

Oral Oncology Reports Pub Date : 2024-12-01 DOI: 10.1016/j.oor.2024.100690

Nandhini J., Karthikeyan E.

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Confronting the demonization of AI writing: Reevaluating its role in upholding scientific integrity 面对人工智能写作的妖魔化：重新评估其在维护科学诚信方面的作用

Oral Oncology Reports Pub Date : 2024-12-01 DOI: 10.1016/j.oor.2024.100685

Luca Fiorillo

{"title":"Confronting the demonization of AI writing: Reevaluating its role in upholding scientific integrity","authors":"Luca Fiorillo","doi":"10.1016/j.oor.2024.100685","DOIUrl":"10.1016/j.oor.2024.100685","url":null,"abstract":"<div><div>The advent of AI-assisted writing tools, such as ChatGPT, has generated significant debate within scientific communities, primarily regarding their influence on the rigor and integrity of academic writing. While critics argue that reliance on these tools could dilute analytical depth or introduce biases, a balanced perspective suggests that AI-driven writing can enhance clarity, structure complex arguments, and improve the efficiency of scientific communication. This manuscript addresses the controversies surrounding AI writing by analyzing historical precedents of methodological errors in published research, highlighting the need for error-minimizing tools during manuscript preparation. Case studies of notable retractions and methodological critiques reveal that inaccuracies in scientific literature are not unique to the era of AI. These issues underscore the need for stringent ethical practices and critical evaluation, regardless of technological advancements. AI writing tools, when employed responsibly, serve as valuable assets to researchers by supporting precision and transparency in scholarly communication. Thus, embracing AI tools, rather than demonizing them, may contribute positively to the goals of reproducibility and trustworthiness in academic publications. Ethical guidelines and a commitment to integrity remain paramount as these tools evolve.</div></div>","PeriodicalId":94378,"journal":{"name":"Oral Oncology Reports","volume":"12 ","pages":"Article 100685"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142746697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Letter to the Editor: Comment on “Advanced oral squamous cell carcinoma arising in verrucous carcinoma with nodal and pulmonary metastasis: Exemplifying patient negligence and impact of alternative medicine” 致编辑的信：评论“晚期口腔鳞状细胞癌起源于疣状癌并结和肺转移：例证患者的疏忽和替代医学的影响”

Oral Oncology Reports Pub Date : 2024-12-01 DOI: 10.1016/j.oor.2024.100693

Siva Annamalai, Vinodini Ramamoorthy, Mangaleshwari Baskaran

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Preliminary analysis of incidence, risk factors, and management of medication-related osteonecrosis of the jaw in cancer patients 癌症患者药物相关性颌骨骨坏死的发生率、危险因素及处理的初步分析

Oral Oncology Reports Pub Date : 2024-12-01 DOI: 10.1016/j.oor.2024.100686

P.J. Nagarathna , Santosh R. Patil

{"title":"Preliminary analysis of incidence, risk factors, and management of medication-related osteonecrosis of the jaw in cancer patients","authors":"P.J. Nagarathna , Santosh R. Patil","doi":"10.1016/j.oor.2024.100686","DOIUrl":"10.1016/j.oor.2024.100686","url":null,"abstract":"<div><h3>Background</h3><div>Medication-related osteonecrosis of the jaw (MRONJ) is a severe complication associated with antiresorptive and antiangiogenic therapies commonly used to manage bone metastasis and improve bone density in cancer patients. This study aimed to investigate MRONJ's incidence, risk factors, and outcomes of MRONJ in patients receiving these therapies.</div></div><div><h3>Methods</h3><div>A retrospective cohort study was conducted involving 98 patients who had received antiresorptive or antiangiogenic medications for at least one year. Data were collected from the electronic health records, focusing on demographics, medication details, comorbidities, dental history, and MRONJ status. Logistic regression analysis was used to identify predictors of MRONJ, and Kaplan-Meier survival analysis was used to assess treatment outcomes, comparing surgical and conservative management approaches.</div></div><div><h3>Results</h3><div>The incidence of MRONJ was 21.4 % among the study cohort. Logistic regression identified prolonged medication duration (odds ratio [OR] = 2.5; p = 0.01), comorbidities (OR = 3.2; p = 0.003), and prior dental procedures (OR = 2.1; p = 0.02) as significant predictors of MRONJ. Kaplan-Meier analysis showed that surgical intervention resulted in longer survival (median 24.5 Â months) than conservative management (median 12.8 months; p < 0.01). Despite the high rates of healing (71.4 %) and pain management success (85.7 %), a recurrence rate of 23.8 % indicated MRONJ's chronic nature of MRONJ.</div></div><div><h3>Conclusion</h3><div>This study underscores the importance of early identification and interdisciplinary management of MRONJ risk factors, particularly in patients with prolonged antiresorptive or antiangiogenic therapy. Surgical intervention appears beneficial; however, high recurrence rates emphasize the need for vigilant monitoring and patient-specific treatment strategies.</div></div>","PeriodicalId":94378,"journal":{"name":"Oral Oncology Reports","volume":"12 ","pages":"Article 100686"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142746696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Customized immunotherapy in OSCC: Leveraging neoantigens for precision medicine OSCC的定制免疫治疗：利用新抗原进行精准医疗

Oral Oncology Reports Pub Date : 2024-12-01 DOI: 10.1016/j.oor.2024.100687

Dr. Nitya Krishnasamy, Dr. Vikram S. Amberkar, Dr. Kochli Channapa Niranjan

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Erratum regarding previously published article 关于以前发表的文章的勘误

Oral Oncology Reports Pub Date : 2024-12-01 DOI: 10.1016/j.oor.2023.100138

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Erratum regarding previously published article 关于以前发表的文章的勘误

Oral Oncology Reports Pub Date : 2024-12-01 DOI: 10.1016/j.oor.2023.100137

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Optimizing PD-L1/PD-1 therapies: Immune checkpoint inhibitors in nasopharyngeal carcinoma 优化PD-L1/PD-1疗法：鼻咽癌免疫检查点抑制剂

Oral Oncology Reports Pub Date : 2024-12-01 DOI: 10.1016/j.oor.2024.100675

Madhan Krishnan, Gayathri Sekar

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Computational biology approach to predict molecular mechanism in cancer 计算生物学方法预测癌症分子机制

Oral Oncology Reports Pub Date : 2024-12-01 DOI: 10.1016/j.oor.2024.100651

Ansari Vikhar Danish Ahmad, Subur W. Khan, Qazi Yasar, Mohd Sayeed Shaikh, Mohd Mukhtar Khan

{"title":"Computational biology approach to predict molecular mechanism in cancer","authors":"Ansari Vikhar Danish Ahmad, Subur W. Khan, Qazi Yasar, Mohd Sayeed Shaikh, Mohd Mukhtar Khan","doi":"10.1016/j.oor.2024.100651","DOIUrl":"10.1016/j.oor.2024.100651","url":null,"abstract":"<div><div>The field of biology offers a complete structure for studying intricate molecular interactions and the strength of bonding between molecules but with an emphasis on developing treatments and discovering markers in medicine research that hold promise for targeting specific diseases like cancer subtypes effectively by pinpointing crucial signals and pathways crucial for tumor development growth, alongside network analysis as a potent tool to foresee how small molecules interact with proteins linked to cancer and determine promising new treatments. This methodical strategy enables the evaluation of potential medications by assessing their capacity to bind effectively to cancer causing targets for enhanced treatment accuracy.\" Additionally integrating machine learning methods with multi dataset analyses greatly enhances the thorough examination of cancer associated molecular connections ultimately streamlining drug development and biomarker discovery. This underscores the importance of molecular docking in forecasting interactions, between drugs and their targets within the realm of cancer bioinformatics.</div></div>","PeriodicalId":94378,"journal":{"name":"Oral Oncology Reports","volume":"12 ","pages":"Article 100651"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Erratum regarding previously published article 关于以前发表的文章的勘误

Oral Oncology Reports Pub Date : 2024-12-01 DOI: 10.1016/j.oor.2023.100136

引用次数: 0