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Identification and validation of a prognostic index based on a metabolic-genomic landscape analysis of ovarian cancer.
Bioscience Reports ( IF 4 ) Pub Date : 2020-09-03 , DOI: 10.1042/bsr20201937 Qun-Feng Zhang 1 , Yu-Kun Li 2, 3 , Chang-Ye Chen 4, 5, 6 , Xiao-di Zhang 1 , Lu Cao 1 , Fei-Fei Quan 7 , Xin Zeng 2 , Juan Wang 2 , Jue Liu 1
Bioscience Reports ( IF 4 ) Pub Date : 2020-09-03 , DOI: 10.1042/bsr20201937 Qun-Feng Zhang 1 , Yu-Kun Li 2, 3 , Chang-Ye Chen 4, 5, 6 , Xiao-di Zhang 1 , Lu Cao 1 , Fei-Fei Quan 7 , Xin Zeng 2 , Juan Wang 2 , Jue Liu 1
Affiliation
Tumour metabolism has become a novel factor targeted by personalized cancer drugs. This research evaluated the prognostic significance of metabolism-related genes (MRGs) in ovarian serous cystadenocarcinoma (OSC).
中文翻译：
基于卵巢癌的代谢基因组景观分析，确定和验证预后指标。
肿瘤代谢已成为个性化抗癌药物靶向的新因素。这项研究评估了卵巢浆液性囊性腺癌（OSC）的代谢相关基因（MRG）的预后意义。
更新日期：2020-09-08
中文翻译：
基于卵巢癌的代谢基因组景观分析，确定和验证预后指标。
肿瘤代谢已成为个性化抗癌药物靶向的新因素。这项研究评估了卵巢浆液性囊性腺癌（OSC）的代谢相关基因（MRG）的预后意义。
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