Concolino Antonio, Olivo Erika, Tammè Laura, Fiumara Claudia Vincenza, De Angelis Maria Teresa, Quaresima Barbara, Agosti Valter, Costanzo Francesco Saverio, Cuda Giovanni, Scumaci Domenica
Laboratory of Proteomics, Research Center of Advanced Biochemistry and Molecular Biology, Department of Experimental and Clinical Medicine, Magna Græcia University of Catanzaro, Catanzaro 88100, Italy.
Stem Cell Laboratory, Research Center of Advanced Biochemistry and Molecular Biology, Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, Salvatore Venuta University Campus, Catanzaro 88100, Italy.
Proteomes. 2018 Mar 27;6(2):16. doi: 10.3390/proteomes6020016.
Mitochondria are the organelles deputed to energy production, but they are also involved in carcinogenesis, cancer progression, and metastasis, playing a role in altered energy metabolism in cancer cells. Mitochondrial metabolism is connected with several mitochondrial pathways such as ROS signaling, Ca homeostasis, mitophagy, and mitochondrial biogenesis. These pathways are merged in an interactive super-network that seems to play a crucial role in cancer. Germline mutations of the gene account for 5-10% of breast cancers and confer a risk of developing the disease 10- to 20-fold much higher than in non-carriers. By considering metabolic networks that could reconcile both genetic and non-genetic causal mechanisms in driven tumorigenesis, we herein based our study on the hypothesis that haploinsufficiency might drive metabolic rewiring in breast epithelial cells, acting as a push toward malignant transformation. Using 2D-DIGE we analyzed and compared the mitochondrial proteomic profile of sporadic breast cancer cell line (MCF7) and mutated breast cancer cell line (HCC1937). Image analysis was carried out with Decider Software, and proteins differentially expressed were identified by LC-MS/MS on a quadrupole-orbitrap mass spectrometer Q-Exactive. Ingenuity pathways analysis software was used to analyze the fifty-three mitochondrial proteins whose expression resulted significantly altered in response to mutation status. Mitochondrial Dysfunction and oxidative phosphorylation, and energy production and nucleic acid metabolism were, respectively, the canonical pathway and the molecular function mainly affected. Western blotting analysis was done to validate the expression and the peculiar mitochondrial compartmentalization of specific proteins such us HSP60 and HIF-1α. Particularly intriguing is the correlation between mutation status and HIF-1α localization into the mitochondria in a dependent manner. Data obtained led us to hypothesize an interesting connection between and mitochondria pathways, capable to trigger metabolic changes, which, in turn, sustain the high energetic and anabolic requirements of the malignant phenotype.
线粒体是负责能量产生的细胞器,但它们也参与致癌作用、癌症进展和转移,在癌细胞能量代谢改变中发挥作用。线粒体代谢与多种线粒体途径相关,如活性氧信号传导、钙稳态、线粒体自噬和线粒体生物发生。这些途径整合在一个相互作用的超级网络中,该网络似乎在癌症中起着关键作用。该基因的种系突变占乳腺癌的5%-10%,患该病的风险比非携带者高10至20倍。通过考虑能够协调驱动肿瘤发生的遗传和非遗传因果机制的代谢网络,我们在此基于这样的假设进行研究:该基因单倍体不足可能驱动乳腺上皮细胞的代谢重编程,推动恶性转化。我们使用二维差异凝胶电泳(2D-DIGE)分析并比较了散发性乳腺癌细胞系(MCF7)和该基因发生突变的乳腺癌细胞系(HCC1937)的线粒体蛋白质组图谱。使用Decider软件进行图像分析,并通过四极杆-轨道阱质谱仪Q-Exactive上的液相色谱-串联质谱(LC-MS/MS)鉴定差异表达的蛋白质。使用 Ingenuity 通路分析软件分析了53种线粒体蛋白质,其表达因该基因突变状态而发生显著改变。线粒体功能障碍和氧化磷酸化以及能量产生和核酸代谢分别是主要受影响的经典通路和分子功能。进行蛋白质免疫印迹分析以验证特定蛋白质(如HSP60和HIF-1α)的表达及其特殊的线粒体定位。特别有趣的是该基因突变状态与HIF-1α以该基因依赖的方式定位于线粒体之间的相关性。获得的数据使我们推测该基因与线粒体途径之间存在有趣的联系,能够引发代谢变化,进而维持恶性表型对高能量和合成代谢的需求。