医学
乳腺癌
肿瘤科
内科学
化疗
疾病
雌激素受体
仿形(计算机编程)
生物信息学
癌症
操作系统
生物
计算机科学
作者
Ari Rephael,Amir Sonnenblick
出处
期刊:PubMed
[National Institutes of Health]
日期:2022-02-01
卷期号:161 (2): 104-109
被引量:1
摘要
Genomic profiling of breast cancer, with the use of microarrays shows that breast cancer is a group of different diseases. For example, estrogen receptor (ER) positive breast cancer is composed of two different subtypes (luminal A and luminal B) with different biologic processes and distinct prognosis. Based on this profiling, five commercial assays were developed (Oncotype Dx, Mamaprint, Prosigna, Endopredict and Breast Cancer Index) and are currently in clinical use, helping the oncologist and the patient to better understand the chances of recurrence of the disease, the expected benefit from complementary chemotherapy treatments and at the bottom line - who can omit chemotherapy. In this review, we summarize the clinical and scientific background of these genomic tests and the differences between them and their clinical use.
科研通智能强力驱动
Strongly Powered by AbleSci AI