柠檬酸循环
代谢组学
三羧酸
转录组
前列腺癌
生物
生物化学
代谢组
医学
计算生物学
前列腺
癌症研究
基因
基因表达
内科学
癌症
新陈代谢
生物信息学
作者
Yaping Shao,Guozhu Ye,Shancheng Ren,Hai‐long Piao,Xinjie Zhao,Xin Lu,Fubo Wang,Wang Ma,Jia Li,Peiyuan Yin,Tian Xia,Chuanliang Xu,Jane Yu,Yinghao Sun,Guowang Xu
摘要
Genetic alterations drive metabolic reprograming to meet increased biosynthetic precursor and energy demands for cancer cell proliferation and survival in unfavorable environments. A systematic study of gene-metabolite regulatory networks and metabolic dysregulation should reveal the molecular mechanisms underlying prostate cancer (PCa) pathogenesis. Herein, we performed gas chromatography-mass spectrometry (GC-MS)-based metabolomics and RNA-seq analyses in prostate tumors and matched adjacent normal tissues (ANTs) to elucidate the molecular alterations and potential underlying regulatory mechanisms in PCa. Significant accumulation of metabolic intermediates and enrichment of genes in the tricarboxylic acid (TCA) cycle were observed in tumor tissues, indicating TCA cycle hyperactivation in PCa tissues. In addition, the levels of fumarate and malate were highly correlated with the Gleason score, tumor stage and expression of genes encoding related enzymes and were significantly related to the expression of genes involved in branched chain amino acid degradation. Using an integrated omics approach, we further revealed the potential anaplerotic routes from pyruvate, glutamine catabolism and branched chain amino acid (BCAA) degradation contributing to replenishing metabolites for TCA cycle. Integrated omics techniques enable the performance of network-based analyses to gain a comprehensive and in-depth understanding of PCa pathophysiology and may facilitate the development of new and effective therapeutic strategies.
科研通智能强力驱动
Strongly Powered by AbleSci AI