Key Laboratory of Cancer Proteomics of Chinese Ministry of HealthXiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Hunan Engineering Laboratory for Structural Biology and Drug DesignXiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Endocr Relat Cancer. 2018 Oct;25(10):909-931. doi: 10.1530/ERC-18-0243. Epub 2018 Jul 11.
Mitochondria play important roles in growth, signal transduction, division, tumorigenesis and energy metabolism in epithelial ovarian carcinomas (EOCs) without an effective biomarker. To investigate the proteomic profile of EOC mitochondrial proteins, a 6-plex isobaric tag for relative and absolute quantification (iTRAQ) proteomics was used to identify mitochondrial expressed proteins (mtEPs) in EOCs relative to controls, followed by an integrative analysis of the identified mtEPs and the Cancer Genome Atlas (TCGA) data from 419 patients. A total of 5115 quantified proteins were identified from purified mitochondrial samples, and 262 proteins were significantly related to overall survival in EOC patients. Furthermore, 63 proteins were identified as potential biomarkers for the development of an EOC, and our findings were consistent with previous reports on a certain extent. Pathway network analysis identified 70 signaling pathways. Interestingly, the results demonstrated that cancer cells exhibited an increased dependence on mitophagy, such as peroxisome, phagosome, lysosome, valine, leucine and isoleucine degradation and fatty acid degradation pathways, which might play an important role in EOC invasion and metastasis. Five proteins (GLDC, PCK2, IDH2, CPT2 and HMGCS2) located in the mitochondrion and enriched pathways were selected for further analysis in an EOC cell line and tissues, and the results confirmed reliability of iTRAQ proteomics. These findings provide a large-scale mitochondrial proteomic profiling with quantitative information, a certain number of potential protein biomarkers and a novel vision in the mitophagy bio-mechanism of a human ovarian carcinoma.
线粒体在没有有效生物标志物的情况下,在卵巢上皮性癌(EOC)的生长、信号转导、分裂、肿瘤发生和能量代谢中发挥重要作用。为了研究 EOC 线粒体蛋白的蛋白质组学特征,使用 6 种相对和绝对定量(iTRAQ)蛋白质组学技术来鉴定 EOC 相对于对照的线粒体表达蛋白(mtEP),然后对鉴定的 mtEP 与来自 419 名患者的癌症基因组图谱(TCGA)数据进行综合分析。从纯化的线粒体样本中鉴定出 5115 种定量蛋白,其中 262 种蛋白与 EOC 患者的总生存率显著相关。此外,鉴定出 63 种蛋白作为 EOC 发生的潜在生物标志物,我们的研究结果在一定程度上与之前的报道一致。通路网络分析确定了 70 个信号通路。有趣的是,结果表明癌细胞对自噬的依赖性增加,例如过氧化物酶体、吞噬体、溶酶体、缬氨酸、亮氨酸和异亮氨酸降解以及脂肪酸降解途径,这可能在 EOC 的侵袭和转移中发挥重要作用。在 EOC 细胞系和组织中进一步分析了位于线粒体中并富集途径的 5 种蛋白(GLDC、PCK2、IDH2、CPT2 和 HMGCS2),结果证实了 iTRAQ 蛋白质组学的可靠性。这些发现提供了具有定量信息、一定数量的潜在蛋白质生物标志物和人类卵巢癌自噬生物机制的新视角的大规模线粒体蛋白质组学特征。