{"title":"Revolutionizing Oral Cancer Treatment: Immunotherapeutic Approaches","authors":"Md Moidul Islam, Sarjana Raikwar","doi":"10.2174/0115733947290954240402060311","DOIUrl":"https://doi.org/10.2174/0115733947290954240402060311","url":null,"abstract":"\u0000\u0000Immunotherapy is a promising addition to the cancer treatment arsenal, with\u0000the potential to be an effective adjuvant therapy. In the ever-changing landscape of cancer care, it\u0000appears as a potential fourth pillar, supplementing surgery, chemotherapy, and radiation. The key to\u0000effective immunotherapy is cautious patient selection, which is based on a thorough study of the\u0000unique immune makeup of each patient.\u0000\u0000\u0000\u0000This review article aims to provide a comprehensive understanding of the fundamental principles\u0000of tumor immunity and immunotherapy, with a specific focus on oral squamous cell carcinoma.\u0000\u0000\u0000\u0000The review involved a thorough investigation of scientific databases and relevant publications,\u0000including studies conducted up to the present date obtained from PubMed, Science Direct, and\u0000Google Scholar Key. The selected studies underwent careful evaluation for methodological rigor and\u0000the significance of their findings.\u0000\u0000\u0000\u0000Checkpoint inhibitors, targeted monoclonal antibodies, adoptive cell transfer, cancer vaccines,\u0000biomarkers and prediction tools, and cytokine immunotherapy are all promising treatments for\u0000oral cancer.\u0000\u0000\u0000\u0000In recent decades, there has been a substantial increase in interest and study in cancer\u0000immunotherapy, indicating a turning point in our approach to cancer treatment. While significant\u0000progress has been made, major hurdles remain across a range of cancers.\u0000","PeriodicalId":503819,"journal":{"name":"Current Cancer Therapy Reviews","volume":" 33","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140687558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Breast Cancer Diagnosis Using Computational Model: Recent Advancement","authors":"Rishav Sharma, R. Malviya, Prerna Uniyal","doi":"10.2174/0115733947288059240405041146","DOIUrl":"https://doi.org/10.2174/0115733947288059240405041146","url":null,"abstract":"\u0000\u0000Since breast cancer affects one in every four women, it is of the utmost need to investigate\u0000novel diagnostic technologies and treatment techniques. This requires the development of diagnostic\u0000techniques to simplify the identification of cancer cells, which helps monitor the success of cancer\u0000therapy. One of the most significant obstacles that chemotherapy must overcome is the absence of\u0000technologies that can measure its effectiveness while it is being administered. Additionally, due to its\u0000steadily expanding prevalence and mortality rate, cancer has surpassed AIDS as the world's secondlargest\u0000killer. Breast cancer accounts for a disproportionately high number of cancer-related deaths\u0000among women worldwide, making precise, sensitive imaging a necessity for this disease. When\u0000breast cancer is diagnosed early it can be treated successfully. As an alternate strategy, the use of cutting-\u0000edge computational methodologies has been advocated for creating innovative breast cancer diagnostic\u0000imaging techniques. The following article provides an overview of the traditional diagnostic\u0000procedures that have historically been employed for the detection of breast carcinoma, as well as the\u0000current methods that are being utilized. Furthermore, the investigators provided a comprehensive\u0000overview of various mathematical frameworks, including Machine Learning, Deep Learning, Artificial\u0000Neural Networks, and Robotics, highlighting their progress and potential applications in the field\u0000of breast cancer diagnostic imaging.\u0000","PeriodicalId":503819,"journal":{"name":"Current Cancer Therapy Reviews","volume":"159 8‐10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140698563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shikha Sharma, Anurag Agrawal, Anuj Kumar Singh, B. Banik
{"title":"Clinical Efficacy and Mechanism of Action of Recently FDA Approved\u0000Anticancer Drugs: An Updated Review","authors":"Shikha Sharma, Anurag Agrawal, Anuj Kumar Singh, B. Banik","doi":"10.2174/0115733947301362240330090709","DOIUrl":"https://doi.org/10.2174/0115733947301362240330090709","url":null,"abstract":"\u0000\u0000Since the beginning of the 21st century, there have been significant advancements in the\u0000field of cancer treatment, resulting in markedly improved outcomes for patients. This review provides\u0000an updated view of some recently developed and FDA-approved small molecules that have been used\u0000to treat various types of cancer on different indications and targets. Some popular search engines,\u0000such as Pubmed, Google Scholar, etc., were considered for the literature review, and drugs approved\u0000by the FDA from 2019 to 2023 were considered for study in this review. This review focuses on the\u0000mechanism of actions and targets via which these FDA-approved small molecules could demonstrate\u0000their clinical efficacy. Moreover, this review would pave the way for the scientific community to look\u0000into the chemical structures of these small molecules to discover more small synthetic compounds\u0000after modification based on structural activity that might be useful in treating various types of cancer.\u0000However, much attention is being paid to how new therapies and tools will change how cancer is\u0000treated in the coming years. This review indicated the increased rate of approvals by the FDA for oncology\u0000treatment during 2019-2023. This surge is primarily driven by the approval of targeted therapies\u0000and the introduction of novel therapeutic approaches.\u0000","PeriodicalId":503819,"journal":{"name":"Current Cancer Therapy Reviews","volume":"58 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140727558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}