细胞癌分子亚型对免疫疗法和向治疗结果的影响
Renée Maria Saliby1, Chris Labaki2, Tejas R Jammihal3
1Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Center of Molecular and Cellular Oncology (CMCO), Yale University, New Haven, CT, USA.
Cancer cell
|April 5, 2024
概括
机器学习使用转录基因数据准确地将清细胞细胞癌 (RCC) 分类为分子亚型. 在JAVELIN脏101试验中,免疫检查点抑制剂疗法在所有亚型中都显示出好处.
科学领域:
- 在瘤学瘤学.
- 生物信息学是一种生物信息学.
- 基因组学就是基因组学.
背景情况:
- 清细胞细胞癌 (ccRCC) 是一种复杂的疾病,具有多样化的分子形状.
- 转录组数据为剖析瘤异质性提供了一个强大的工具.
- 机器学习 (ML) 算法可以识别高维生物数据中的复杂模式.
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