Cancer Research Program 6, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India.
Cancer Research Program 6, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India; Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702, United States.
Crit Rev Oncol Hematol. 2020 Jul;151:102964. doi: 10.1016/j.critrevonc.2020.102964. Epub 2020 May 15.
Breast Cancer is the most predominant female cancer in developed as well as developing countries. The treatment strategies of breast cancers depends on an array of factors like age at diagnosis, menstrual status, dietary pattern, immunological response, genetic variations of the cancer cells etc. Recent technological advancements in cancer diagnosis lead to the emergence of gene expression pattern for better understanding of the tumor behavior. It has not only bolstered the prognosis, but also the early diagnosis and therapy. The accuracy in disease prognosis can be boosted when gene expression signatures are combined with traditional clinicopathological features. This review explains how the evolution of gene expression signatures for breast cancers, its advantages and future prospects. In addition, an overview of currently available gene expression signature analysis tools and consolidated information on their current status and specific benefits, that can be availed for breast cancer diagnosis are also discussed.
乳腺癌是发达国家和发展中国家女性最常见的癌症。乳腺癌的治疗策略取决于一系列因素，如诊断时的年龄、月经状况、饮食模式、免疫反应、癌细胞的遗传变异等。癌症诊断的最新技术进步导致了基因表达模式的出现，以更好地了解肿瘤的行为。它不仅提高了预后，还提高了早期诊断和治疗的效果。当基因表达特征与传统临床病理特征相结合时，疾病预后的准确性可以得到提高。本综述解释了乳腺癌基因表达特征的演变、它的优点和未来的前景。此外，还讨论了目前可用的基因表达特征分析工具的概述，以及它们当前状态和特定优势的综合信息，这些信息可用于乳腺癌的诊断。
