Spatially-resolved characterization of the metabolic and N-glycan alterations in colorectal cancer using matrix-assisted laser desorption/ionization mass spectrometry imaging†

IF 3.9 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY RSC Advances Pub Date : 2025-01-21 DOI:10.1039/D4RA08100E
Yaqi Zhang, Qiangjun Chen, Lei Wang, Haoyuan Geng, Zihan Zhu, Cancan Lv, Yisheng Zhao, Xiao Wang, Chenglong Sun, Panpan Chen and Chao Zhang
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Abstract

Colorectal cancer is the second leading cause of cancer-related deaths worldwide, and its development typically involves complex metabolic reprogramming. By mapping the spatial distributions of metabolites and N-glycans in heterogeneous colorectal cancer tissues, we can elucidate cancer-associated metabolic and N-glycan changes. Herein, we combine mass spectrometry imaging-based metabolomics and N-glycomics to characterize the spatially resolved reprogramming of metabolites and N-glycans in colorectal cancer tissues. The metabolic characteristics of different regions of colorectal cancer were evaluated through the utilization of orthogonal partial least squares discriminant analysis. In combination with metabolic pathway enrichment analysis, significant alterations were identified in the fatty acid metabolism, arginine and proline metabolism of colorectal cancer. Cancer cell regions exhibited a marked upregulation of saturated fatty acids, monounsaturated fatty acids, polyamines, and histidine. Additionally, we discovered that the high-mannose N-glycans were predominantly distributed in tumor tissue regions, whereas complex N-glycans were more commonly found in the normal tissue regions adjacent to the tumor. Such findings provide new insights into the spatial signatures of metabolites and N-glycans in colorectal cancer, thereby offering a crucial basis for the diagnosis of colorectal cancer and potential vulnerabilities that might be targeted for cancer therapy.

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利用基质辅助激光解吸/电离质谱成像技术研究结直肠癌中代谢和n -聚糖变化的空间分辨表征
结直肠癌是全球癌症相关死亡的第二大原因,其发展通常涉及复杂的代谢重编程。通过绘制异质性结直肠癌组织中代谢物和n -聚糖的空间分布,我们可以阐明癌症相关的代谢和n -聚糖的变化。在此,我们结合基于质谱成像的代谢组学和n -糖组学来表征结直肠癌组织中代谢物和n -聚糖的空间分辨重编程。利用正交偏最小二乘判别分析评价结直肠癌不同区域的代谢特征。结合代谢途径富集分析,发现结直肠癌的脂肪酸代谢、精氨酸和脯氨酸代谢发生了显著变化。癌细胞区域表现出饱和脂肪酸、单不饱和脂肪酸、多胺和组氨酸的显著上调。此外,我们发现高甘露糖n -聚糖主要分布在肿瘤组织区域,而复杂的n -聚糖更常见于肿瘤附近的正常组织区域。这些发现为了解结直肠癌中代谢物和n -聚糖的空间特征提供了新的见解,从而为结直肠癌的诊断和可能针对癌症治疗的潜在脆弱性提供了重要依据。
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来源期刊
RSC Advances
RSC Advances chemical sciences-
CiteScore
7.50
自引率
2.60%
发文量
3116
审稿时长
1.6 months
期刊介绍: An international, peer-reviewed journal covering all of the chemical sciences, including multidisciplinary and emerging areas. RSC Advances is a gold open access journal allowing researchers free access to research articles, and offering an affordable open access publishing option for authors around the world.
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