Zhao Min, Li Xiaoyang, Zhang Yunxiang, Zhu Hongming, Han Zhaoqing, Kang Yan
School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
State Key Laboratory of Medical Genomics Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
PPAR Res. 2020 Apr 26;2020:6287468. doi: 10.1155/2020/6287468. eCollection 2020.
Previous studies showed that low PPARG expression was associated with poor prognosis of lung adenocarcinoma (LA) with limited mechanisms identified. We first conducted a large-scale literature-based data mining to identify potential molecular pathways where PPARG could exert influence on the pathological development of LA. Then a mega-analysis using 13 independent LA expression datasets and a Pathway Enrichment Analysis (PEA) was conducted to study the gene expression levels and the functionalities of PPARG and the PPARG-driven triggers within the molecular pathways. Finally, a protein-protein interaction (PPI) network was established to reveal the functional connection between PPARG and its driven molecules. We identified 25 PPARG-driven molecule triggers forming multiple LA-regulatory pathways. Mega-analysis using 13 LA datasets supported these pathways and confirmed the downregulation of PPARG in the case of LA ( = 1.07 ). Results from the PEA and PPI analysis suggested that PPARG might inhibit the development of LA through the regulation of tumor cell proliferation and transmission-related molecules, including an LA tumor cell suppressor MIR145. Our results suggested that increased expression of PPARG could drive multiple molecular triggers against the pathologic development and prognosis of LA, indicating PPARG as a valuable therapeutic target for LA treatment.
先前的研究表明,PPARG低表达与肺腺癌(LA)的不良预后相关,但相关机制尚不明确。我们首先进行了大规模的基于文献的数据挖掘,以确定PPARG可能影响LA病理发展的潜在分子途径。然后,使用13个独立的LA表达数据集进行了荟萃分析和通路富集分析(PEA),以研究PPARG及其在分子途径中驱动的触发因子的基因表达水平和功能。最后,建立了蛋白质-蛋白质相互作用(PPI)网络,以揭示PPARG与其驱动分子之间的功能联系。我们确定了25个由PPARG驱动的分子触发因子,它们形成了多个LA调控途径。使用13个LA数据集进行的荟萃分析支持了这些途径,并证实了LA患者中PPARG的下调( = 1.07)。PEA和PPI分析结果表明,PPARG可能通过调节肿瘤细胞增殖和转移相关分子(包括LA肿瘤细胞抑制因子MIR145)来抑制LA的发展。我们的结果表明,PPARG表达增加可能驱动多种分子触发因子对抗LA的病理发展和预后,表明PPARG是LA治疗的一个有价值的治疗靶点。