肿瘤科
医学
医学物理学
优势和劣势
匹配(统计)
选择(遗传算法)
分子肿瘤学
精确肿瘤学
精密医学
个性化医疗
计算生物学
内科学
癌症
生物信息学
计算机科学
病理
心理学
生物
机器学习
社会心理学
细胞周期
作者
Qiong Gan,Sinchita Roy‐Chowdhuri
标识
DOI:10.1016/j.cll.2022.04.002
摘要
Proper treatment of the patient with cancer depends on an accurate diagnosis of the tumor and is further directed by prognostic and more recently therapeutic molecular signatures in the era of precision medicine. Molecular oncology testing provides diagnostic, prognostic, and therapeutic information derived from the tumor genome. The aim of this review is to provide valuable information to laboratories for choosing optimal clinical specimens for molecular oncology testing by evaluating the strengths and weaknesses of different sample types from the procurement, processing, and pre-analytic selection matching to different test platforms.
科研通智能强力驱动
Strongly Powered by AbleSci AI