Non-targeted metabolomics screening for serum biomarkers in colorectal cancer patients
Objective To identify potential serum metabolic biomarkers in colorectal cancer (CRC) patients using untargeted metabolomics and to evaluate their diagnostic and staging value. Methods Serum samples from 100 healthy controls and 100 CRC patients were analyzed by ultra-performance liquid chromatograp...
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| Format: | Article |
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Institute of Basic Medical Sciences and Peking Union Medical College Hospital, Chinese Academy of Medical Sciences / Peking Union Medical College.
2025-06-01
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| Series: | Jichu yixue yu linchuang |
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| Online Access: | https://journal11.magtechjournal.com/Jwk_jcyxylc/fileup/1001-6325/PDF/1001-6325-2025-45-6-793.pdf |
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| author | WANG Aiwei, LIU Jiaqi, LIU Xiaoyan, SUN Haidan, GUO Zhengguang, HE Chengyan, SUN Wei |
| author_facet | WANG Aiwei, LIU Jiaqi, LIU Xiaoyan, SUN Haidan, GUO Zhengguang, HE Chengyan, SUN Wei |
| author_sort | WANG Aiwei, LIU Jiaqi, LIU Xiaoyan, SUN Haidan, GUO Zhengguang, HE Chengyan, SUN Wei |
| collection | DOAJ |
| description | Objective To identify potential serum metabolic biomarkers in colorectal cancer (CRC) patients using untargeted metabolomics and to evaluate their diagnostic and staging value. Methods Serum samples from 100 healthy controls and 100 CRC patients were analyzed by ultra-performance liquid chromatography-mass spectrometry (UPLC-MS). After data normalization, differential metabolites were screened using multivariate statistical analyses (PCA, OPLS-DA) and subjected to pathway enrichment analysis. Diagnostic performance was assessed via univariate and multivariate regression, while Mfuzz clustering was applied to analyze stage-related metabolites (Ⅰ-Ⅳ). Results A total of 432 metabolites were identified with 59 showing significant alterations. Starch and sucrose metabolism and glycerophospholipid metabolism pathways were significantly enriched. A three-metabolite panel (4,8- dimethylnonanoyl carnitine, 9,13-dihydroxy-4-megastigmen-3-one 9-glucoside and C17 sphingosine-1-phosphate) achieved a diagnostic AUC of 0.907, while L-Carnitine and L-Norleucine showed an AUC of 0.776 in staging analysis. Conclusions Specific serum metabolite panel exhibit high diagnostic accuracy, and dysregulated metabolic pathways are associated with CRC progression, suggesting their potential value as biomarkers. |
| format | Article |
| id | doaj-art-2afd131da8e842c8b75045b194e6cda7 |
| institution | Kabale University |
| issn | 1001-6325 |
| language | zho |
| publishDate | 2025-06-01 |
| publisher | Institute of Basic Medical Sciences and Peking Union Medical College Hospital, Chinese Academy of Medical Sciences / Peking Union Medical College. |
| record_format | Article |
| series | Jichu yixue yu linchuang |
| spelling | doaj-art-2afd131da8e842c8b75045b194e6cda72025-08-20T03:28:26ZzhoInstitute of Basic Medical Sciences and Peking Union Medical College Hospital, Chinese Academy of Medical Sciences / Peking Union Medical College.Jichu yixue yu linchuang1001-63252025-06-0145679379910.16352/j.issn.1001-6325.2025.06.0793Non-targeted metabolomics screening for serum biomarkers in colorectal cancer patientsWANG Aiwei, LIU Jiaqi, LIU Xiaoyan, SUN Haidan, GUO Zhengguang, HE Chengyan, SUN Wei01. Department of Pharmacology, Institute of Basic Medical Sciences CAMS, School of Basic Medicine PUMC, Beijing 100005;;2. Department of Clinical Laboratory, China-Japan Union Hospital of Jilin University, Changchun 130033, ChinaObjective To identify potential serum metabolic biomarkers in colorectal cancer (CRC) patients using untargeted metabolomics and to evaluate their diagnostic and staging value. Methods Serum samples from 100 healthy controls and 100 CRC patients were analyzed by ultra-performance liquid chromatography-mass spectrometry (UPLC-MS). After data normalization, differential metabolites were screened using multivariate statistical analyses (PCA, OPLS-DA) and subjected to pathway enrichment analysis. Diagnostic performance was assessed via univariate and multivariate regression, while Mfuzz clustering was applied to analyze stage-related metabolites (Ⅰ-Ⅳ). Results A total of 432 metabolites were identified with 59 showing significant alterations. Starch and sucrose metabolism and glycerophospholipid metabolism pathways were significantly enriched. A three-metabolite panel (4,8- dimethylnonanoyl carnitine, 9,13-dihydroxy-4-megastigmen-3-one 9-glucoside and C17 sphingosine-1-phosphate) achieved a diagnostic AUC of 0.907, while L-Carnitine and L-Norleucine showed an AUC of 0.776 in staging analysis. Conclusions Specific serum metabolite panel exhibit high diagnostic accuracy, and dysregulated metabolic pathways are associated with CRC progression, suggesting their potential value as biomarkers.https://journal11.magtechjournal.com/Jwk_jcyxylc/fileup/1001-6325/PDF/1001-6325-2025-45-6-793.pdfcolorectal cancer|untargeted metabolomics|uplc-ms|serum biomarkers |
| spellingShingle | WANG Aiwei, LIU Jiaqi, LIU Xiaoyan, SUN Haidan, GUO Zhengguang, HE Chengyan, SUN Wei Non-targeted metabolomics screening for serum biomarkers in colorectal cancer patients Jichu yixue yu linchuang colorectal cancer|untargeted metabolomics|uplc-ms|serum biomarkers |
| title | Non-targeted metabolomics screening for serum biomarkers in colorectal cancer patients |
| title_full | Non-targeted metabolomics screening for serum biomarkers in colorectal cancer patients |
| title_fullStr | Non-targeted metabolomics screening for serum biomarkers in colorectal cancer patients |
| title_full_unstemmed | Non-targeted metabolomics screening for serum biomarkers in colorectal cancer patients |
| title_short | Non-targeted metabolomics screening for serum biomarkers in colorectal cancer patients |
| title_sort | non targeted metabolomics screening for serum biomarkers in colorectal cancer patients |
| topic | colorectal cancer|untargeted metabolomics|uplc-ms|serum biomarkers |
| url | https://journal11.magtechjournal.com/Jwk_jcyxylc/fileup/1001-6325/PDF/1001-6325-2025-45-6-793.pdf |
| work_keys_str_mv | AT wangaiweiliujiaqiliuxiaoyansunhaidanguozhengguanghechengyansunwei nontargetedmetabolomicsscreeningforserumbiomarkersincolorectalcancerpatients |