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结肠癌和直肠癌中改变的代谢谱。

Altered metabolic profiles in colon and rectal cancer.

作者信息

Wu Xue, Yang Qi, Leng Li, Yang Peng, Zhu Zhitu

机构信息

Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, Guizhou, China.

The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, 550003, Guizhou, China.

出版信息

Sci Rep. 2025 Apr 2;15(1):11310. doi: 10.1038/s41598-025-96004-8.

DOI:10.1038/s41598-025-96004-8
PMID:40175601
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11965280/
Abstract

Colorectal cancer (CRC) is the third most commonly diagnosed malignant tumour in worldwide populations. Although colon cancer (CC) and rectal cancer (RC) are often discussed together, there is a global trend towards considering them as two separate disease entities. It is necessary to choice the appropriate treatment for CC and RC based on their own characteristics. Hence, it is a great importance to find effective biomarkers to distinguish CC from RC. In the present study, a total of 343 participants were recruited, including 132 healthy individuals, 101 patients with CC, and 110 patients with RC. The concentrations of 93 metabolites were determined by using a combination of dried blood spot sampling and direct infusion mass spectrometry technology. Multiple algorithms were applied to characterize altered metabolic profiles in CC and RC. Significantly altered metabolites were screened for distinguishing RC from CC in training set. A biomarker panel including Glu, C0, C8, C20, Gly/Ala, and C10:1 was tested with tenfold cross-validation and an independent test set, and showed the potential to distinguish between RC and CC. The metabolomics analysis makes contribution to summarize the metabolic differences in RC and CC, which might provide further guidance on novel clinical designs for the two diseases.

摘要

结直肠癌(CRC)是全球人群中第三大最常被诊断出的恶性肿瘤。尽管结肠癌(CC)和直肠癌(RC)常被一起讨论,但全球有将它们视为两种不同疾病实体的趋势。有必要根据CC和RC自身的特征选择合适的治疗方法。因此,找到有效的生物标志物以区分CC和RC非常重要。在本研究中,共招募了343名参与者,包括132名健康个体、101名CC患者和110名RC患者。通过采用干血斑采样和直接进样质谱技术相结合的方法测定了93种代谢物的浓度。应用多种算法来表征CC和RC中改变的代谢谱。在训练集中筛选出显著改变的代谢物以区分RC和CC。一个包括Glu、C0、C(8)、C(20)、Gly/Ala和C(10:1)的生物标志物组合在十折交叉验证和独立测试集中进行了测试,并显示出区分RC和CC的潜力。代谢组学分析有助于总结RC和CC中的代谢差异,这可能为这两种疾病的新型临床设计提供进一步指导。 (注:原文中C8、C20、C10:1括号为翻译时补充完整格式,因为原文表述不完整,实际应用中需确认其准确表述)

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e80/11965280/1d2ac956c7d9/41598_2025_96004_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e80/11965280/858d2b762d00/41598_2025_96004_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e80/11965280/06cd7310512c/41598_2025_96004_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e80/11965280/980d687a88eb/41598_2025_96004_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e80/11965280/fb2b7c692aa6/41598_2025_96004_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e80/11965280/1d2ac956c7d9/41598_2025_96004_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e80/11965280/858d2b762d00/41598_2025_96004_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e80/11965280/06cd7310512c/41598_2025_96004_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e80/11965280/980d687a88eb/41598_2025_96004_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e80/11965280/fb2b7c692aa6/41598_2025_96004_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e80/11965280/1d2ac956c7d9/41598_2025_96004_Fig5_HTML.jpg

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Colorectal cancer statistics, 2023.2023 年结直肠癌统计数据。
CA Cancer J Clin. 2023 May-Jun;73(3):233-254. doi: 10.3322/caac.21772. Epub 2023 Mar 1.
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Identification of CPT2 as a prognostic biomarker by integrating the metabolism-associated gene signature in colorectal cancer.
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BMC Cancer. 2022 Oct 4;22(1):1038. doi: 10.1186/s12885-022-10126-0.
4
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Metabolic Reprogramming and Its Relationship to Survival in Hepatocellular Carcinoma.代谢重编程及其与肝细胞癌生存的关系。
Cells. 2022 Mar 22;11(7):1066. doi: 10.3390/cells11071066.
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