State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, 100050 Beijing, China.
Department of Radiation Oncology, Cancer Institute, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021 Beijing, China.
Proc Natl Acad Sci U S A. 2019 Jan 2;116(1):52-57. doi: 10.1073/pnas.1808950116. Epub 2018 Dec 17.
Characterization of tumor metabolism with spatial information contributes to our understanding of complex cancer metabolic reprogramming, facilitating the discovery of potential metabolic vulnerabilities that might be targeted for tumor therapy. However, given the metabolic variability and flexibility of tumors, it is still challenging to characterize global metabolic alterations in heterogeneous cancer. Here, we propose a spatially resolved metabolomics approach to discover tumor-associated metabolites and metabolic enzymes directly in their native state. A variety of metabolites localized in different metabolic pathways were mapped by airflow-assisted desorption electrospray ionization mass spectrometry imaging (AFADESI-MSI) in tissues from 256 esophageal cancer patients. In combination with in situ metabolomics analysis, this method provided clues into tumor-associated metabolic pathways, including proline biosynthesis, glutamine metabolism, uridine metabolism, histidine metabolism, fatty acid biosynthesis, and polyamine biosynthesis. Six abnormally expressed metabolic enzymes that are closely associated with the altered metabolic pathways were further discovered in esophageal squamous cell carcinoma (ESCC). Notably, pyrroline-5-carboxylate reductase 2 (PYCR2) and uridine phosphorylase 1 (UPase1) were found to be altered in ESCC. The spatially resolved metabolomics reveal what occurs in cancer at the molecular level, from metabolites to enzymes, and thus provide insights into the understanding of cancer metabolic reprogramming.
肿瘤代谢的空间信息特征有助于我们理解复杂的癌症代谢重编程,有助于发现可能成为肿瘤治疗靶点的潜在代谢弱点。然而,鉴于肿瘤的代谢可变性和灵活性,在异质癌症中准确描述全局代谢变化仍然具有挑战性。在这里,我们提出了一种基于空间分辨的代谢组学方法,直接在其天然状态下发现与肿瘤相关的代谢物和代谢酶。通过气流辅助解吸电喷雾电离质谱成像(AFADESI-MSI),在 256 名食管癌患者的组织中绘制了不同代谢途径中定位的各种代谢物。结合原位代谢组学分析,该方法为肿瘤相关代谢途径提供了线索,包括脯氨酸生物合成、谷氨酰胺代谢、尿苷代谢、组氨酸代谢、脂肪酸生物合成和多胺生物合成。在食管鳞状细胞癌(ESCC)中还发现了 6 种与改变的代谢途径密切相关的异常表达的代谢酶。值得注意的是,吡咯啉-5-羧酸还原酶 2(PYCR2)和尿苷磷酸化酶 1(UPase1)在 ESCC 中发生改变。空间分辨代谢组学揭示了癌症在分子水平上发生的情况,从代谢物到酶,从而深入了解癌症代谢重编程。