Abstract 1972
Background
Diet is an important risk factor of colorectal cancer (CRC) and affects cancer risk through its effects on colonic microbial metabolism. Few population-based studies have examined the relationship between diet-derived metabolites and the risk of CRC in the context of Asian diet, microbiota composition and anatomical subsite.
Methods
We conducted a nested case-control study of 350 incident CRC (211 colon and 139 rectal) cases and 350 matched controls within the Singapore Chinese Health Study, a prospective cohort of 63,257 men and women. Liquid and gas chromatography-mass spectrometries were used to quantify 61 plasma metabolites, including amino acids, carnitine, acylcarnitines, short chain fatty acids, bile acids, monosaccharides and organic compounds. Conditional logistic regression models were used to estimate odds ratio (OR) and 95% confidence interval (CI).
Results
Compared to controls, colon cancer cases had statistically significant higher mean levels of glutamine, arginine, tauroursodeoxycholic acid (TUDCA), taurodeoxycholic acid (TDCA), glycodeoxycholic acid (GDCA), and lower mean levels of leucine and valine. Rectal cancer cases had statistically significant higher mean levels of mannose, glucose and isobutyric acid than controls. 9 metabolites [arginine, glutamine, mannose, deoxycholic acid (DCA), GDCA, taurochenodeoxycholic acid (TCDCA), TDCA, TUDCA and betaine] were associated with an increased risk of colon cancer (all p < 0.05). Valine was inversely associated with colon cancer (OR3rd vs 1st tertile 0.45; 95% CI, 0.25-0.81). 7 metabolites (glucose, mannose, propionic acid, DCA, GDCA, TDCA and glycolate) were associated with an increased risk of rectal cancer (all p < 0.05). Only glucose significantly improved the risk prediction of rectal cancer. No metabolites led to an improvement in the predictive model for colon cancer.
Conclusions
Dysregulation of secondary bile acids, monosaccharides, amino acids and short chain fatty acids may play a role in CRC development. Further studies are required to validate our findings.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
National Medical Research Council.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
3392 - Post-hoc analysis of the nintedanib exposure-response relationships in the CHIVA trial in advanced ovarian cancer: (a GINECO study)
Presenter: Skerdi HAVIARI
Session: Poster Display session 2
Resources:
Abstract
714 - The feasibility and efficacy of gonadotropin-releasing hormone agonists for prevention of chemotherapy-induced ovarian insufficiency in patient with malignant ovarian germ cell tumors
Presenter: Min Kyu Kim
Session: Poster Display session 2
Resources:
Abstract
1753 - Ex vivo cytotoxicity and in vivo antitumor activity of a novel highly selective STAT3 inhibitor YHO-1701 for ovarian and endometrial cancer
Presenter: Kosei Hasegawa
Session: Poster Display session 2
Resources:
Abstract
3739 - Mutational landscapes and tumor mutational burden expression in endometrial cancer
Presenter: Yingli Zhang
Session: Poster Display session 2
Resources:
Abstract
2109 - Clinical features and frequency of mismatch repair protein deficiency in ovarian clear cell and endometrioid carcinoma patients.
Presenter: Kazuhiro Takehara
Session: Poster Display session 2
Resources:
Abstract
4554 - Prospective study evaluating white adipose tissue inflammation and clinicopathologic features in endometrial cancer
Presenter: Lea Moukarzel
Session: Poster Display session 2
Resources:
Abstract
3645 - Cancer-specific survival with or without adjuvant chemotherapy in high-risk stage I endometrial cancer
Presenter: Jenny Ko
Session: Poster Display session 2
Resources:
Abstract
3394 - Pembrolizumab in Patients with MSI-H Advanced Endometrial Cancer from the KEYNOTE-158 Study
Presenter: David Omalley
Session: Poster Display session 2
Resources:
Abstract
3388 - Who drops out of cervical cancer screening? Results from the EDIFICE 6 survey
Presenter: Thibault de La Motte Rouge
Session: Poster Display session 2
Resources:
Abstract
2485 - Identification of a RNA-Seq Based Signature to Improve Prognostic for Uterine Sarcoma
Presenter: Jian-Guo Zhou
Session: Poster Display session 2
Resources:
Abstract