Vincenzo Sabatino, Alma Pignata, Marvi Valentini, Carmen Fantò, Irene Leonardi, Michela Campora
{"title":"乳腺癌新辅助治疗的评估和反应:当前实践、反应监测、未来方法和前景。","authors":"Vincenzo Sabatino, Alma Pignata, Marvi Valentini, Carmen Fantò, Irene Leonardi, Michela Campora","doi":"10.1007/978-3-031-33602-7_5","DOIUrl":null,"url":null,"abstract":"<p><p>Neoadjuvant treatments (NAT) for breast cancer (BC) consist in the administration of chemotherapy-more rarely endocrine therapy-before surgery. Firstly, it was introduced 50 years ago to downsize locally advanced (inoperable) BCs. NAT are now widespread and so effective to be used also at the early stage of the disease. NAT are heterogeneous in terms of therapeutic patterns, class of used drugs, dosage, and duration. The poly-chemotherapy regimen and administration schedule are established by a multi-disciplinary team, according to the stage of disease, the tumor subtype and the age, the physical status, and the drug sensitivity of BC patients. Consequently, an accurate monitoring of treatment response can provide significant clinical advantages, such as the treatment de-escalation in case of early recognition of complete response or, on the contrary, the switch to an alternative treatment path in case of early detection of resistance to the ongoing therapy. Future is going toward increasingly personalized therapies and the prediction of individual response to treatment is the key to practice customized care pathways, preserving oncological safety and effectiveness. To gain such goal, the development of an accurate monitoring system, reproducible and reliable alone or as part of more complex diagnostic algorithms, will be promising.</p>","PeriodicalId":9486,"journal":{"name":"Cancer treatment and research","volume":"188 ","pages":"105-147"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment and Response to Neoadjuvant Treatments in Breast Cancer: Current Practice, Response Monitoring, Future Approaches and Perspectives.\",\"authors\":\"Vincenzo Sabatino, Alma Pignata, Marvi Valentini, Carmen Fantò, Irene Leonardi, Michela Campora\",\"doi\":\"10.1007/978-3-031-33602-7_5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Neoadjuvant treatments (NAT) for breast cancer (BC) consist in the administration of chemotherapy-more rarely endocrine therapy-before surgery. Firstly, it was introduced 50 years ago to downsize locally advanced (inoperable) BCs. NAT are now widespread and so effective to be used also at the early stage of the disease. NAT are heterogeneous in terms of therapeutic patterns, class of used drugs, dosage, and duration. The poly-chemotherapy regimen and administration schedule are established by a multi-disciplinary team, according to the stage of disease, the tumor subtype and the age, the physical status, and the drug sensitivity of BC patients. Consequently, an accurate monitoring of treatment response can provide significant clinical advantages, such as the treatment de-escalation in case of early recognition of complete response or, on the contrary, the switch to an alternative treatment path in case of early detection of resistance to the ongoing therapy. Future is going toward increasingly personalized therapies and the prediction of individual response to treatment is the key to practice customized care pathways, preserving oncological safety and effectiveness. To gain such goal, the development of an accurate monitoring system, reproducible and reliable alone or as part of more complex diagnostic algorithms, will be promising.</p>\",\"PeriodicalId\":9486,\"journal\":{\"name\":\"Cancer treatment and research\",\"volume\":\"188 \",\"pages\":\"105-147\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer treatment and research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/978-3-031-33602-7_5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer treatment and research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/978-3-031-33602-7_5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
摘要
乳腺癌(BC)的新辅助治疗(NAT)是指在手术前进行化疗,更罕见的是内分泌治疗。首先,新辅助治疗是在 50 年前引入的,用于缩小局部晚期(无法手术)乳腺癌的范围。现在,非化疗性癌症疗法已得到广泛应用,而且在疾病早期阶段也非常有效。NAT 在治疗模式、所用药物类别、剂量和持续时间方面各不相同。多化疗方案和用药计划是由多学科团队根据 BC 患者的疾病分期、肿瘤亚型、年龄、身体状况和药物敏感性制定的。因此,对治疗反应的准确监测能带来显著的临床优势,例如在早期发现完全反应时,可降低治疗等级;或者相反,在早期发现对正在进行的治疗产生耐药性时,可转而采用其他治疗方法。未来的治疗将越来越趋向于个性化,而预测个体对治疗的反应是实施个性化治疗方案、保持肿瘤安全性和有效性的关键。为了实现这一目标,开发一种精确的、可重复的、可靠的监测系统,无论是单独使用还是作为更复杂的诊断算法的一部分,都将大有可为。
Assessment and Response to Neoadjuvant Treatments in Breast Cancer: Current Practice, Response Monitoring, Future Approaches and Perspectives.
Neoadjuvant treatments (NAT) for breast cancer (BC) consist in the administration of chemotherapy-more rarely endocrine therapy-before surgery. Firstly, it was introduced 50 years ago to downsize locally advanced (inoperable) BCs. NAT are now widespread and so effective to be used also at the early stage of the disease. NAT are heterogeneous in terms of therapeutic patterns, class of used drugs, dosage, and duration. The poly-chemotherapy regimen and administration schedule are established by a multi-disciplinary team, according to the stage of disease, the tumor subtype and the age, the physical status, and the drug sensitivity of BC patients. Consequently, an accurate monitoring of treatment response can provide significant clinical advantages, such as the treatment de-escalation in case of early recognition of complete response or, on the contrary, the switch to an alternative treatment path in case of early detection of resistance to the ongoing therapy. Future is going toward increasingly personalized therapies and the prediction of individual response to treatment is the key to practice customized care pathways, preserving oncological safety and effectiveness. To gain such goal, the development of an accurate monitoring system, reproducible and reliable alone or as part of more complex diagnostic algorithms, will be promising.