{"title":"进一步了解多柔比星对乳腺癌的治疗效果。","authors":"Ziye Zhuang, Rui Wang, Hao Chi","doi":"10.1007/s12032-024-02565-5","DOIUrl":null,"url":null,"abstract":"<p><p>In this letter, we extend our commendation to the authors of the study titled \"Doxorubicin downregulates cell cycle regulatory hub genes in breast cancer cells\" for their insightful work. However, we also propose several areas for potential enhancement. We identify the study's limitations, such as a focus on the effects of doxorubicin treatment over a limited 48-h period, potential biases due to algorithmic and database constraints, and the absence of in vivo model validation. We advocate for the application of machine learning to identify biomarkers, the use of molecular docking for target selection, and the incorporation of animal models and patient-derived samples to bolster the study's clinical significance. Our recommendations are intended to refine the research and deepen the comprehension of doxorubicin's therapeutic role in the treatment of breast cancer.</p>","PeriodicalId":18433,"journal":{"name":"Medical Oncology","volume":"42 1","pages":"3"},"PeriodicalIF":2.8000,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing the understanding of doxorubicin's therapeutic impact in breast cancer.\",\"authors\":\"Ziye Zhuang, Rui Wang, Hao Chi\",\"doi\":\"10.1007/s12032-024-02565-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In this letter, we extend our commendation to the authors of the study titled \\\"Doxorubicin downregulates cell cycle regulatory hub genes in breast cancer cells\\\" for their insightful work. However, we also propose several areas for potential enhancement. We identify the study's limitations, such as a focus on the effects of doxorubicin treatment over a limited 48-h period, potential biases due to algorithmic and database constraints, and the absence of in vivo model validation. We advocate for the application of machine learning to identify biomarkers, the use of molecular docking for target selection, and the incorporation of animal models and patient-derived samples to bolster the study's clinical significance. Our recommendations are intended to refine the research and deepen the comprehension of doxorubicin's therapeutic role in the treatment of breast cancer.</p>\",\"PeriodicalId\":18433,\"journal\":{\"name\":\"Medical Oncology\",\"volume\":\"42 1\",\"pages\":\"3\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2024-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Medical Oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s12032-024-02565-5\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medical Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12032-024-02565-5","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
Enhancing the understanding of doxorubicin's therapeutic impact in breast cancer.
In this letter, we extend our commendation to the authors of the study titled "Doxorubicin downregulates cell cycle regulatory hub genes in breast cancer cells" for their insightful work. However, we also propose several areas for potential enhancement. We identify the study's limitations, such as a focus on the effects of doxorubicin treatment over a limited 48-h period, potential biases due to algorithmic and database constraints, and the absence of in vivo model validation. We advocate for the application of machine learning to identify biomarkers, the use of molecular docking for target selection, and the incorporation of animal models and patient-derived samples to bolster the study's clinical significance. Our recommendations are intended to refine the research and deepen the comprehension of doxorubicin's therapeutic role in the treatment of breast cancer.
期刊介绍:
Medical Oncology (MO) communicates the results of clinical and experimental research in oncology and hematology, particularly experimental therapeutics within the fields of immunotherapy and chemotherapy. It also provides state-of-the-art reviews on clinical and experimental therapies. Topics covered include immunobiology, pathogenesis, and treatment of malignant tumors.