A conjunctive lipidomic approach reveals plasma ethanolamine plasmalogens and fatty acids as early diagnostic biomarkers for colorectal cancer patients

SummaryBackground: Polyunsaturated fatty acids (PUFAs) play a role in the development/progression of colon cancer. The aim of the study was to assess the relation between serum phospholipids PUFAs, colorectal tumour localization and disease progression. Methods: A total of 67 patients (18 with proximal colon, 17 with distal colon and 32 with rectal tumour localization) as well as 16 controls were studied. One year after surgery, 33 patients had disease progression. Serum levels of C16:1(n-7), C18:1(n-9), C18:3(n-3), C20:5(n-3), C22:6(n- 3), C18:2(n-6), C20:2(n-6), C20:4(n-6) fatty acids of se - rum phospholipids were quantitatively measured before surgery by gas-chromatography. Results: Significantly higher mean value of C18:2, as compared to control, has been noted only for patients with proximal (p<0.05) and distal tumour (p<0.03) localization. The lower mean level of C20:5 and unsaturation index (UI) were observed in colorectal cancer patients regardless the tumour localization, but the statistical difference was noted only for patients with proximal tumours (p<0.05, p<0.03). In patients with proximal tumours, significantly lower mean level of C20:4 and UI were noted in patients with disease progression, as compared to patients with proximal tumours without disease progression (p<0.05). Conclusion: The evaluation of PUFAs as a risk/prognostic factor in colorectal cancer patients should take into account tumour localization as a dependent variable.

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Fecal metabolome and microflora differences between colorectal cancer patients and healthy adults.

Journal of Clinical Oncology ◽

10.1200/jco.2013.31.15_suppl.11050 ◽

2013 ◽

Vol 31 (15_suppl) ◽

pp. 11050-11050 ◽

Cited By ~ 1

Author(s):

Tiffany Weir ◽

Robert Frederick Marschke ◽

Regina J. Brown ◽

Joanne O'Malia ◽

Erica Dickson ◽

...

Keyword(s):

Colorectal Cancer ◽

Fatty Acids ◽

Cancer Patients ◽

454 Pyrosequencing ◽

Monounsaturated Fatty Acids ◽

Short Chain Fatty Acids ◽

Healthy Adults ◽

Gas Chromatography Mass Spectrometry ◽

Stool Samples ◽

Colorectal Cancer Patients

11050 Background: High throughput genomic technologies such as 454 pyrosequencing and metabolomics platforms are now available to explore the relationships between gastrointestinal microflora, metabolism and colorectal cancer (CRC). Recent efforts to characterize the colorectal cancer microbiome have led to the identification of numerous bacteria whose presence or absence is associated with diseased tissue. Methods: Stool samples were collected from 10 healthy adults and 11 colorectal cancer patients prior to surgery at the University of Colorado Health-Poudre Valley Hospital in Fort Collins, CO. Fecal samples were processed for isolation of microbial DNA and sequenced using the 454 pyrosequencing platform. Metabolites were extracted using acidified water for short chain fatty acids (SCFA) and 3:2:2 isopropanol:acetonitrile:water to obtain global metabolite profiles utilizing Gas Chromatography-Mass Spectrometry (GC-MS). Results: There were no significant differences in the overall microbial community structure associated with disease state, but several bacterial genera, particularly butyrate-producing species, were under-represented in the CRC samples, while a mucin-degrading species, Akkermansia muciniphila, was about 4-fold higher in CRC (p<0.01). Consequently, the chemoprotective SCFA, butyrate, was significantly lower in CRC samples than in those from healthy adults (p<0.0001) and GC-MS profiling revealed that there were higher levels of amino acids in stool samples from CRC patients and higher poly and monounsaturated fatty acids in stool from healthy adults (p<0.01). Conclusions: This systems biology approach may allow us to identify functional groups of gastrointestinal bacteria and their associated metabolites as novel therapeutic and chemopreventive targets. The Colorado Agricultural Experiment Station, Shipley Foundation and the NIH R03CA150070 supported this work.

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W1915 Omega-3 and Omega-6 Fatty Acids in Colorectal Cancer Patients in Relation to Tumor Localization

Gastroenterology ◽

10.1016/s0016-5085(09)63474-0 ◽

2009 ◽

Vol 136 (5) ◽

pp. A-753

Author(s):

Krystyna Sztefko ◽

Diana M. Hodorowicz-Zaniewska ◽

Jolanta Bugajska ◽

Joanna Berska ◽

Piotr Richter ◽

...

Keyword(s):

Colorectal Cancer ◽

Fatty Acids ◽

Cancer Patients ◽

Tumor Localization ◽

Omega 3 ◽

Omega 6 ◽

Colorectal Cancer Patients

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Metabolomics Analysis for Defining Serum Biochemical Markers in Colorectal Cancer Patients with Qi Deficiency Syndrome or Yin Deficiency Syndrome

Evidence-based Complementary and Alternative Medicine ◽

10.1155/2017/7382752 ◽

2017 ◽

Vol 2017 ◽

pp. 1-10 ◽

Cited By ~ 8

Author(s):

Fangfang Tao ◽

Ping Lü ◽

Chunbo Xu ◽

Mengmeng Zheng ◽

Wenhong Liu ◽

...

Keyword(s):

Colorectal Cancer ◽

Amino Acids ◽

Fatty Acids ◽

Cancer Patients ◽

Biochemical Markers ◽

Deficiency Syndrome ◽

Metabolic Profiles ◽

Yin Deficiency ◽

Colorectal Cancer Patients ◽

Metabolomics Analysis

Colorectal cancer is one of the leading causes of tumor-associated death, and traditional Chinese medicine (TCM) classifies colorectal cancer into various subtypes mainly according to the symptomatic pattern identification (ZHENG). Here, we investigated the difference in metabolic profiles of serum by comparing colorectal cancer subjects with Nondeficiency (ND), Qi deficiency (QD), and Yin deficiency (YD). The ratio of subjects with carcinoembryonic antigen (CEA) was higher in YD pattern, and the ratio of subjects with carbohydrate antigen 19-9 (CA19-9) was higher both in YD and in QD, compared with ND. As a result of metabolomics analysis, twenty-five metabolites displayed differences between QD and ND, while twenty-eight metabolites displayed differences between YD and ND. The downregulated metabolites in QD/ND and YD/ND mainly include carbohydrates and the upregulated metabolites mainly include amino acids and fatty acids, suggesting conversion obstruction of carbohydrates, fatty acids, and amino acids occurs in patients with QD and YD compared with ND. Our results demonstrate that colorectal cancer patients with QD or YD were associated with metabolic disorders and the variations of serum metabolic profiles may serve as potential biochemical markers for diagnosis and prognosis of colorectal cancer patients displayed QD or YD patterns.

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