Zhu Guoxue, Wang Yi, Wang Wang, Shang Fang, Pei Bin, Zhao Yang, Kong Desong, Fan Zhimin
Department of Neurology, Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
Department of Anorectal Medicine, Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
Front Oncol. 2021 Nov 4;11:729512. doi: 10.3389/fonc.2021.729512. eCollection 2021.
Colorectal cancer (CRC) is one of the most common malignant gastrointestinal cancers in the world with a 5-year survival rate of approximately 68%. Although researchers accumulated many scientific studies, its pathogenesis remains unclear yet. Detecting and removing these malignant polyps promptly is the most effective method in CRC prevention. Therefore, the analysis and disposal of malignant polyps is conducive to preventing CRC.
In the study, metabolic profiling as well as diagnostic biomarkers for CRC was investigated using untargeted GC-MS-based metabolomics methods to explore the intervention approaches. In order to better characterize the variations of tissue and serum metabolic profiles, orthogonal partial least-square discriminant analysis was carried out to further identify significant features. The key differences in t-m/z pairs were screened by the S-plot and VIP value from OPLS-DA. Identified potential biomarkers were leading in the KEGG in finding interactions, which show the relationships among these signal pathways.
Finally, 17 tissue and 13 serum candidate ions were selected based on their corresponding retention time, p-value, m/z, and VIP value. Simultaneously, the most influential pathways contributing to CRC were inositol phosphate metabolism, primary bile acid biosynthesis, phosphatidylinositol signaling system, and linoleic acid metabolism.
The preliminary results suggest that the GC-MS-based method coupled with the pattern recognition method and understanding these cancer-specific alterations could make it possible to detect CRC early and aid in the development of additional treatments for the disease, leading to improvements in CRC patients' quality of life.
结直肠癌（CRC）是世界上最常见的恶性胃肠道癌症之一，5年生存率约为68%。尽管研究人员积累了许多科学研究，但结直肠癌的发病机制仍不清楚。及时检测和切除这些恶性息肉是预防结直肠癌最有效的方法。因此，对恶性息肉的分析和处理有助于预防结直肠癌。
在本研究中，使用基于非靶向气相色谱 - 质谱联用的代谢组学方法研究结直肠癌的代谢谱及诊断生物标志物，以探索干预方法。为了更好地表征组织和血清代谢谱的变化，进行了正交偏最小二乘判别分析以进一步识别显著特征。通过S图和来自OPLS - DA的VIP值筛选t - m/z对中的关键差异。在KEGG中对鉴定出的潜在生物标志物进行通路分析，以揭示这些信号通路之间的关系。
最后，根据相应的保留时间、p值、m/z和VIP值，选择了17种组织和13种血清候选离子。同时，对结直肠癌影响最大的通路是磷酸肌醇代谢、初级胆汁酸生物合成、磷脂酰肌醇信号系统和亚油酸代谢。
初步结果表明，基于气相色谱 - 质谱联用的方法结合模式识别方法以及了解这些癌症特异性改变，有可能早期检测结直肠癌，并有助于开发该疾病的其他治疗方法，从而改善结直肠癌患者的生活质量。
