Archives of pharmacology and therapeutics最新文献

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Integrating Mathematical Models in Clinical Oncology: Enhancing Therapeutic Strategies 整合数学模型在临床肿瘤:提高治疗策略
Archives of pharmacology and therapeutics Pub Date : 2025-01-01 DOI: 10.33696/pharmacol.7.060
Gobinda Debnath, B. Vasu, Rama Subba Reddy Gorla, O. Anwar Bég, Tasveer A. Bég
{"title":"Integrating Mathematical Models in Clinical Oncology: Enhancing Therapeutic Strategies","authors":"Gobinda Debnath, B. Vasu, Rama Subba Reddy Gorla, O. Anwar Bég, Tasveer A. Bég","doi":"10.33696/pharmacol.7.060","DOIUrl":"https://doi.org/10.33696/pharmacol.7.060","url":null,"abstract":"Cancer remains a formidable challenge in the field of medical research, necessitating novel approaches to better comprehend its complex dynamics and develop effective treatment strategies. This article presents a comprehensive review of the latest mathematical models employed in the study of tumor growth dynamics and its treatment. The heterogeneous nature of cancer poses unique complexities, requiring interdisciplinary efforts involving mathematics and other relevant domains. Through an extensive examination of the literature, various mathematical frameworks ranging from ordinary differential equation systems to stochastic hybrid multiscale models are discussed. It highlights the crucial role played by mathematical modeling in understanding the diverse characteristics of tumors, including growth patterns, angiogenesis, cell-cell interactions, and the effects of treatment. These models facilitate a deeper comprehension of cancer progression, resistance mechanisms, and the influence of microenvironmental factors. The review emphasizes the importance of combining multiple therapeutic approaches to overcome treatment resistance and optimize patient outcomes. By exploring the synergistic effects of combining different therapies, mathematical models assist in identifying optimal treatment sequences, minimizing side effects, and improving overall treatment efficacy. In conclusion, this review contributes to the growing body of knowledge in mathematical oncology and highlights the vital role of mathematical modeling in comprehending tumor dynamics and guiding treatment decisions.","PeriodicalId":516557,"journal":{"name":"Archives of pharmacology and therapeutics","volume":"7 1","pages":"1-27"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.scientificarchives.com/public/assets/articles/article-pdf-1750222671-1453.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147914222","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: 2
Targeted Therapy in Non-Muscle Invasive Bladder Cancer-Clinical Updates. 非肌肉浸润性膀胱癌的靶向治疗
Archives of pharmacology and therapeutics Pub Date : 2024-01-01 DOI: 10.33696/pharmacol.6.056
Rachel Passarelli, John Pfail, David Golombos, Thomas L Jang, Vignesh T Packiam, Saum Ghodoussipour
{"title":"Targeted Therapy in Non-Muscle Invasive Bladder Cancer-Clinical Updates.","authors":"Rachel Passarelli, John Pfail, David Golombos, Thomas L Jang, Vignesh T Packiam, Saum Ghodoussipour","doi":"10.33696/pharmacol.6.056","DOIUrl":"10.33696/pharmacol.6.056","url":null,"abstract":"<p><p>Non muscle invasive bladder cancer (NMIBC) comprises almost 75% of all bladder cancer (BC) diagnoses. Longstanding intravesical treatment options include chemotherapy or Bacillus Calmette-Guerin (BCG). However, despite these treatment options, there is a high rate of relapse for NMIBC patients, reaching up to 40-50% for patients with high risk disease. Radical cystectomy is recommended by guideline committees for patients with high risk NMIBC and for patients who fail intravesical treatment options however this is a procedure with high morbidity and many patients are not good candidates or prefer more conservative treatment approaches. Given this and the high failure rates of current therapies, much ongoing research in NMIBC is focused on other bladder sparing treatment modalities. There have been new advances in molecular features of BC with findings of genetic alterations in NMIBC leading way to a rise in precision medicine targeting a patient's individual gene mutation. While data surrounding these targeted therapies in NMIBC specifically are all preliminary, many trials are currently underway derived from success in targeted treatments for locally advanced or metastatic BC. Preliminary results are promising and the targeted therapies for NMIBC are increasing. We performed a PubMed and Medline (OVID) literature review assessing recently published studies on targeted therapy on NMIBC, and an additional search on clinicaltrials.gov for active clinical trials. We report on preliminary outcomes and ongoing later stage trials for targeted therapies in NMIBC and anticipate upcoming promising changes to the treatment landscape.</p>","PeriodicalId":516557,"journal":{"name":"Archives of pharmacology and therapeutics","volume":"6 1","pages":"43-49"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12439848/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145082998","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
Why Can Modulation of α6-Containing GABAA Receptors Reduce the Symptoms of Multiple Neuropsychiatric Disorders? 为什么调节含 α6 的 GABAA 受体能减轻多种神经精神疾病的症状?
Archives of pharmacology and therapeutics Pub Date : 2024-01-01 DOI: 10.33696/Pharmacol.6.047
Werner Sieghart
{"title":"Why Can Modulation of α6-Containing GABA<sub>A</sub> Receptors Reduce the Symptoms of Multiple Neuropsychiatric Disorders?","authors":"Werner Sieghart","doi":"10.33696/Pharmacol.6.047","DOIUrl":"10.33696/Pharmacol.6.047","url":null,"abstract":"<p><p>α6-containing GABA<sub>A</sub> receptors (α6GABA<sub>A</sub>Rs) are strongly expressed in cerebellar granule cells, where they mediate a correctly timed and precise coordination of all muscle groups that execute behavior and protect the brain from information overflow. Recently, it was demonstrated that positive modulators with a high selectivity for α6GABA<sub>A</sub>Rs (α6-modulators) can reduce the symptoms of multiple neuropsychiatric disorders in respective animal models to an extent comparable with established clinical therapeutics. Here, these incredible findings are discussed and explained. So far, the beneficial actions of α6-modulators and their lack of side effects have only been demonstrated in animal models of the respective disorders. Preclinical studies have demonstrated their suitability for further drug development. Future human studies have to investigate their safety and possible side effects, and to clarify to which extent individual symptoms of the respective disorders can be reduced by α6-modulators in patients during acute and chronic dosing. Due to their broad therapeutic potential, α6-modulators might become a valuable new treatment option for multiple neuropsychiatric disorders.</p>","PeriodicalId":516557,"journal":{"name":"Archives of pharmacology and therapeutics","volume":"6 1","pages":"047"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7615572/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139572528","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
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