乳腺癌;流行病学、诊断障碍以及乳腺纳米otheranostics 和靶向机制的当代趋势。

Mohamed Ibrahim, Zeinab Fathalla, Adel Al Fatease, Ali H Alamri, Hamdy Abdelkader
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引用次数: 0

摘要

导言:乳腺癌是全球妇女死亡的主要原因之一。早期准确诊断是癌症治疗的一个里程碑。目前已有多种乳腺癌诊断试剂。许多传统剂型的化疗药物已获批准,但它们缺乏癌细胞特异性,导致治疗不当和不良副作用。最近,纳米otheranostics 成为实现安全有效的癌症诊断和管理的新范例:本综述深入探讨了乳腺癌的流行病学、阻碍早期诊断的障碍以及化疗药物的有效输送。此外,还介绍了用于乳腺癌的传统诊断药物和最新纳米治疗平台。此外,还回顾了癌细胞靶向机制和纳米载体表面功能化作为化疗靶向的有效方法,并展望了未来前景:我们提出,改性纳米载体可为乳腺癌药物靶向提供一种有效的方法。这些纳米otheranostics需要更多的临床评估来确认其在癌症治疗中的疗效。此外,我们还建议使用人工智能(AI)作为早期有效评估乳腺病变的有效方法。人工智能可以更好地解释和分析纳米otheranostics数据,从而最大限度地减少误诊,避免医疗服务提供者姗姗来迟的干预。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Breast cancer epidemiology, diagnostic barriers, and contemporary trends in breast nanotheranostics and mechanisms of targeting.

Introduction: Breast cancer is one of the main causes of mortality in women globally. Early and accurate diagnosis represents a milestone in cancer management. Several breast cancer diagnostic agents are available. Many chemotherapeutic agents in conventional dosage forms are approved; nevertheless, they lack cancer cell specificity, resulting in improper treatment and undesirable side effects. Recently, nanotheranostics has emerged as a new paradigm to achieve safe and effective cancer diagnosis and management.

Area covered: This review provides insight into breast cancer epidemiology, barriers hindering the early diagnosis, and effective delivery of chemotherapeutics. Also, conventional diagnostic agents and recent nanotheranostic platforms have been used in breast cancer. In addition, mechanisms of cancer cell targeting and nano-carrier surface functionalization as an effective approach for chemotherapeutic targeting were reviewed along with future perspectives.

Expert opinion: We proposed that modified nano-carriers may provide an efficacious approach for breast cancer drug targeting. These nanotheranostics need more clinical evaluations to confirm their efficacy in cancer management. In addition, we recommend the use of artificial intelligence (AI) as a promising approach for early and efficient assessment of breast lesions. AI allows better interpretation and analysis of nanotheranostic data, which minimizes misdiagnosis and avoids the belated intervention of health care providers.

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