癌症治疗和生物标志物:过去、现在和未来的方法。

IF 1.8 Q3 ONCOLOGY Breast Cancer : Basic and Clinical Research Pub Date : 2021-03-24 eCollection Date: 2021-01-01 DOI:10.1177/1178223421995854
Jason Schick, Raquel P Ritchie, Carolina Restini
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引用次数: 26

摘要

癌症(BC)是癌症女性死亡的主要原因,也是癌症第二常见的原因。估计281 美国将在女性中诊断出550例新的侵袭性BC病例,约43例 2021年将有600人死亡。持续的研究揭示了所有疾病领域,包括肿瘤分类和诊断/预后的生物标志物。随着研究的发展,新的药物种类正在出现,这些药物在不列颠哥伦比亚省的治疗中具有潜在的益处。最初的部分介绍了用于诊断和预后的最新分类和术语,从而引出了以下主题,讨论了过去和现在可用于BC的治疗方法。我们的综述将引起人们对探索细胞周期的复杂性及其与癌症生物学的关系的兴趣,这是开发新药物和有效治疗BC的众多靶因素的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Breast Cancer Therapeutics and Biomarkers: Past, Present, and Future Approaches.

Breast cancer (BC) is the leading cause of cancer death in women and the second-most common cancer. An estimated 281 550 new cases of invasive BC will be diagnosed in women in the United States, and about 43 600 will die during 2021. Continual research has shed light on all disease areas, including tumor classification and biomarkers for diagnosis/prognosis. As research investigations evolve, new classes of drugs are emerging with potential benefits in BC treatment that are covered in this manuscript. The initial sections present updated classification and terminology used for diagnosis and prognosis, which leads to the following topics, discussing the past and present treatments available for BC. Our review will generate interest in exploring the complexity of the cell cycle and its association with cancer biology as part of the plethora of target factors toward developing newer drugs and effective therapeutic management of BC.

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来源期刊
CiteScore
5.10
自引率
3.40%
发文量
22
审稿时长
8 weeks
期刊介绍: Breast Cancer: Basic and Clinical Research is an international, open access, peer-reviewed, journal which considers manuscripts on all areas of breast cancer research and treatment. We welcome original research, short notes, case studies and review articles related to breast cancer-related research. Specific areas of interest include, but are not limited to, breast cancer sub types, pathobiology, metastasis, genetics and epigenetics, mammary gland biology, breast cancer models, prevention, detection, therapy and clinical interventions, and epidemiology and population genetics.
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