National Medical Research Center for Obstetrics Gynecology and Perinatology Named after Academician V.I. Kulakov of the Ministry of Healthcare of Russian Federation, Moscow, Russia.
Department of Chemical Physics, The Moscow Institute of Physics and Technology, Moscow, Russia.
Front Immunol. 2024 Jan 8;14:1332043. doi: 10.3389/fimmu.2023.1332043. eCollection 2023.
Immunometabolism is essential factor of tumor progression, and tumor-associated macrophages are characterized by substantial changes in their metabolic status. In this study for the first time, we applied targeted amino acid LC-MS/MS analysis to compare amino acid metabolism of circulating monocytes isolated from patients with breast, ovarian, lung, and colorectal cancer.
Monocyte metabolomics was analyzed by liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/ MS) analysis of amino acid extracts. The targeted analysis of 26 amino acids was conducted by LCMS/MS on an Agilent 6460 triple quadrupole mass spectrometer equipped with an electrospray ionization source and an Agilent 1260 II liquid chromatograph.
Comparison of monocytes of cancer patients with monocytes of healthy control individuals demonstrated that in breast cancer most pronounced changes were identified for tryptophan (AUC = 0.76); for ovarian cancer, aminobutyric acid was significantly elevated (AUC= 1.00); for lung cancer significant changes we indented for citrulline (AUC = 0.70). In order to identify key amino acids that are characteristic for monocytes in specific cancer types, we compared each individual cancer with other 3 types of cancer. We found, that aspartic acid and citrulline are specific for monocytes of patients with colorectal cancer (p<0.001, FC = 1.40 and p=0.003, FC = 1.42 respectively). Citrulline, sarcosine and glutamic acid are ovarian cancer-specific amino acids (p = 0.003, FC = 0.78, p = 0.003, FC = 0.62, p = 0.02, FC = 0.78 respectively). Glutamine, methionine and phenylalanine (p = 0.048, FC = 1.39. p = 0.03, FC = 1.27 and p = 0.02, FC = 1.41) are lung cancer-specific amino acids. Ornithine in monocytes demonstrated strong positive correlation (r = 0.63) with lymph node metastasis incidence in breast cancer patients. Methyl histidine and cysteine in monocytes had strong negative correlation with lymph node metastasis in ovarian cancer patients (r = -0.95 and r = -0.95 respectively). Arginine, citrulline and ornithine have strong negative correlation with tumor size (r = -0.78, citrulline) and lymph node metastasis (r = -0.63 for arginine and r = -0.66 for ornithine).
These alterations in monocyte amino acid metabolism can reflect the reaction of systemic innate immunity on the growing tumor. Our data indicate that this metabolic programming is cancer specific and can be inhibiting cancer progression. Cancer-specific differences in citrulline, as molecular link between metabolic pathways and epigenetic programing, provide new option for the development and validation of anti-cancer therapies using inhibitors of enzymes catalyzing citrullination.
免疫代谢是肿瘤进展的重要因素,肿瘤相关巨噬细胞的代谢状态发生了显著变化。在这项研究中,我们首次应用靶向氨基酸 LC-MS/MS 分析方法,比较了来自乳腺癌、卵巢癌、肺癌和结直肠癌患者的循环单核细胞的氨基酸代谢。
通过液相色谱-质谱/质谱(LC-MS/MS)分析氨基酸提取物对单核细胞代谢组学进行分析。使用配备电喷雾电离源和安捷伦 1260 II 液相色谱仪的安捷伦 6460 三重四极杆质谱仪对 26 种氨基酸进行靶向分析。
与健康对照组个体的单核细胞相比,癌症患者的单核细胞显示,在乳腺癌中,色氨酸的变化最为明显(AUC=0.76);在卵巢癌中,γ-氨基丁酸显著升高(AUC=1.00);在肺癌中,瓜氨酸的变化显著(AUC=0.70)。为了鉴定特定癌症类型中单核细胞特有的关键氨基酸,我们将每种癌症与其他 3 种癌症进行了比较。我们发现,天冬氨酸和瓜氨酸是结直肠癌患者单核细胞的特异性氨基酸(p<0.001,FC=1.40 和 p=0.003,FC=1.42)。瓜氨酸、肌氨酸和谷氨酸是卵巢癌特异性氨基酸(p=0.003,FC=0.78,p=0.003,FC=0.62,p=0.02,FC=0.78)。谷氨酰胺、蛋氨酸和苯丙氨酸(p=0.048,FC=1.39,p=0.03,FC=1.27,p=0.02,FC=1.41)是肺癌特异性氨基酸。乳腺癌患者的单核细胞中鸟氨酸与淋巴结转移发生率呈强正相关(r=0.63)。单核细胞中的甲基组氨酸和半胱氨酸与卵巢癌患者的淋巴结转移呈强负相关(r=-0.95 和 r=-0.95)。精氨酸、瓜氨酸和鸟氨酸与肿瘤大小(r=-0.78,瓜氨酸)和淋巴结转移(精氨酸 r=-0.63 和鸟氨酸 r=-0.66)呈强负相关。
单核细胞氨基酸代谢的这些改变可以反映系统固有免疫对生长肿瘤的反应。我们的数据表明,这种代谢编程是癌症特异性的,可以抑制癌症进展。作为代谢途径和表观遗传编程之间的分子联系,瓜氨酸的癌症特异性差异为使用催化瓜氨酸化的酶抑制剂开发和验证抗癌疗法提供了新的选择。