Department of Obstetrics & Gynecology, Beijing TianTan Hospital, Capital Medical University, Bejing, 100050, China.
The Fifth Medical Center of Chinese PLA General Hospital, Beijing, 100039, China.
J Ovarian Res. 2020 Mar 11;13(1):27. doi: 10.1186/s13048-020-00627-6.
Platinum resistance is an important cause of clinical recurrence and death for ovarian cancer. This study tries to systematically explore the molecular mechanisms for platinum resistance in ovarian cancer and identify regulatory genes and pathways via text mining and other methods.
Genes in abstracts of associated literatures were identified. Gene ontology and protein-protein interaction (PPI) network analysis were performed. Then co-occurrence between genes and ovarian cancer subtypes were carried out followed by cluster analysis.
Genes with highest frequencies are mostly involved in DNA repair, apoptosis, metal transport and drug detoxification, which are closely related to platinum resistance. Gene ontology analysis confirms this result. Some proteins such as TP53, HSP90, ESR1, AKT1, BRCA1, EGFR and CTNNB1 work as hub nodes in PPI network. According to cluster analysis, specific genes were highlighted in each subtype of ovarian cancer, indicating that various subtypes may have different resistance mechanisms respectively.
Platinum resistance in ovarian cancer involves complicated signaling pathways and different subtypes may have specific mechanisms. Text mining, combined with other bio-information methods, is an effective way for systematic analysis.
铂耐药是卵巢癌临床复发和死亡的重要原因。本研究试图通过文本挖掘等方法系统地探讨卵巢癌铂耐药的分子机制，鉴定调控基因和通路。
鉴定相关文献摘要中的基因。进行基因本体论和蛋白质-蛋白质相互作用（PPI）网络分析。然后进行基因与卵巢癌亚型之间的共现分析，并进行聚类分析。
出现频率最高的基因主要涉及 DNA 修复、细胞凋亡、金属转运和药物解毒，这些都与铂耐药密切相关。基因本体论分析证实了这一结果。一些蛋白质，如 TP53、HSP90、ESR1、AKT1、BRCA1、EGFR 和 CTNNB1，在 PPI 网络中作为枢纽节点发挥作用。根据聚类分析，在每种卵巢癌亚型中都突出了特定的基因，表明不同亚型可能分别具有不同的耐药机制。
卵巢癌的铂耐药涉及复杂的信号通路，不同亚型可能具有特定的机制。文本挖掘结合其他生物信息学方法是系统分析的有效途径。
