Zhang Yaqi, Chen Qiangjun, Wang Lei, Geng Haoyuan, Zhu Zihan, Lv Cancan, Zhao Yisheng, Wang Xiao, Sun Chenglong, Chen Panpan, Zhang Chao
Shandong Engineering Research Center for Innovation and Application of General Technology for Separation of Natural Products, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences) Jinan 250014 China
Key Laboratory for Natural Active Pharmaceutical Constituents Research in Universities of Shandong Province, School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences) Jinan 250014 China.
RSC Adv. 2025 Jan 21;15(3):1838-1845. doi: 10.1039/d4ra08100e. eCollection 2025 Jan 16.
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 -glycans in heterogeneous colorectal cancer tissues, we can elucidate cancer-associated metabolic and -glycan changes. Herein, we combine mass spectrometry imaging-based metabolomics and -glycomics to characterize the spatially resolved reprogramming of metabolites and -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 -glycans were predominantly distributed in tumor tissue regions, whereas complex -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 -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.
结直肠癌是全球癌症相关死亡的第二大主要原因,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聚糖的空间分布,我们可以阐明与癌症相关的代谢和聚糖变化。在此,我们结合基于质谱成像的代谢组学和糖组学来表征结直肠癌组织中代谢物和聚糖的空间分辨重编程。通过使用正交偏最小二乘法判别分析评估结直肠癌不同区域的代谢特征。结合代谢途径富集分析,在结直肠癌的脂肪酸代谢、精氨酸和脯氨酸代谢中发现了显著变化。癌细胞区域的饱和脂肪酸、单不饱和脂肪酸、多胺和组氨酸明显上调。此外,我们发现高甘露糖聚糖主要分布在肿瘤组织区域,而复杂聚糖更常见于肿瘤相邻的正常组织区域。这些发现为结直肠癌中代谢物和聚糖的空间特征提供了新的见解,从而为结直肠癌的诊断以及可能作为癌症治疗靶点的潜在弱点提供了关键依据。