scholarly journals High plasma levels of pro-NT are associated with increased colon cancer risk

2020 ◽  
Vol 27 (11) ◽  
pp. 641-646
Author(s):  
Li Li ◽  
Heidi L Weiss ◽  
Jing Li ◽  
Zhengyi Chen ◽  
Leslie Donato ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Cancer Risk ◽  
Plasma Levels ◽  
Significant Risk ◽  
High Plasma ◽  
Population Based ◽  
Continuous Measure ◽  
Logistic Regression Models ◽  
Colon Cancer Risk ◽  
History Of

Emerging data supports a potential role of neurotensin (NT) in the development of obesity, obesity-associated comorbidities, and certain cancers. The association of NT with colon cancer risk has not been explicitly explored. We determined plasma levels of pro-NT, a stable NT precursor fragment, in 223 incident colon cancer patients and 223 age-, gender-, BMI-matched population controls participating in a population-based case–control study of colon cancer. On average, the cases have significantly higher levels of pro-NT than the controls (median = 205.6 pmol/L vs 183.1 pmol/L, respectively; P = 0.02). Multivariate logistic regression models, adjusted for age, gender, BMI, family history of colorectal cancer, smoking, diabetes mellitus, alcohol, and non-steroidal anti-inflammatory drugs use, show statistically significant risk associations: for continuous measure of pro-NT, the OR estimate was 1.30 (95% CI =1.03–1.64; P = 0.026) for each increment of 175 pmol/L; for dichotomized measure of pro-NT, the OR estimate was 1.75 (95% CI = 1.12–2.74; P = 0.025) for those in the top quartile comparing to the other participants. Our results support circulating levels of pro-NT as a novel risk biomarker for colon cancer.

scholarly journals Adult BMI Change and Risk of Colon Cancer in Postmenopausal Women

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Lyla Blake-Gumbs ◽  
Zhengyi Chen ◽  
Cheryl L. Thompson ◽  
Nathan A. Berger ◽  
Thomas C. Tucker ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Weight Gain ◽  
Cancer Risk ◽  
Postmenopausal Women ◽  
Early Adulthood ◽  
Population Based ◽  
Colon Cancer Risk ◽  
Increased Risk ◽  
Study Population ◽  
Control Study

Purpose. We recently reported an association of adult BMI change with colon cancer risk. Here, we sought to further explore this association with respect to postmenopausal HRT use in a larger study population.Methods. We included 1,457 postmenopausal women participating in an ongoing population-based case-control study of colon cancer.Results. We confirmed a previously reported association of adulthood weight gain and increased risk of colon cancer: compared to those with <5 kg/m2change of BMI, women who reported moderate (5–10 kg/m2) and large (>10 kg/m2) BMI changes since their 20s had OR estimates of 1.54 (95% CI = 1.09–2.19) and 1.45 (95% CI = 0.90–2.33), respectively (Pfor trend = 0.05). Stratified analyses showed that this association was limited to HRT nonusers: ORs were 1.77 (95% CI = 1.02–3.05) and 2.21 (95% CI = 1.09–4.45), respectively (Pfor trend = 0.03), for BMI changes occurring between the 20s decade and time of recruitment among non-users. Similar associations were observed for BMI changes since the 30s decade. There was no association among HRT users.Conclusion. Our results suggest early adulthood weight gain increases colon cancer risk in postmenopausal women who do not use HRT.

Factors Influencing Intention to Obtain a Genetic Test for Colon Cancer Risk: A Population-Based Study

2002 ◽  
Vol 34 (6) ◽  
pp. 567-577 ◽  
Author(s):  
Janice Yanushka Bunn ◽  
Kwadwo Bosompra ◽  
Takamaru Ashikaga ◽  
Brian S. Flynn ◽  
John K. Worden
Keyword(s):  
Colon Cancer ◽  
Cancer Risk ◽  
Genetic Test ◽  
Population Based ◽  
Population Based Study ◽  
Colon Cancer Risk ◽  
Factors Influencing

scholarly journals Prediagnostic Plasma Bile Acid Levels and Colon Cancer Risk: A Prospective Study

2019 ◽  
Vol 112 (5) ◽  
pp. 516-524 ◽  
Author(s):  
Tilman Kühn ◽  
Magdalena Stepien ◽  
Marina López-Nogueroles ◽  
Antje Damms-Machado ◽  
Disorn Sookthai ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Bile Acid ◽  
Cancer Risk ◽  
Prospective Study ◽  
Bile Acids ◽  
Plasma Levels ◽  
Colon Cancer Risk ◽  
Acid Metabolites ◽  
A Prospective Study ◽  
Secondary Bile Acids

Abstract Background Bile acids have been proposed to promote colon carcinogenesis. However, there are limited prospective data on circulating bile acid levels and colon cancer risk in humans. Methods Associations between prediagnostic plasma levels of 17 primary, secondary, and tertiary bile acid metabolites (conjugated and unconjugated) and colon cancer risk were evaluated in a nested case-control study within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Bile acid levels were quantified by tandem mass spectrometry in samples from 569 incident colon cancer cases and 569 matched controls. Multivariable logistic regression analyses were used to estimate odds ratios (ORs) for colon cancer risk across quartiles of bile acid concentrations. Results Positive associations were observed between colon cancer risk and plasma levels of seven conjugated bile acid metabolites: the primary bile acids glycocholic acid (ORquartile 4 vs quartile 1= 2.22, 95% confidence interval [CI] = 1.52 to 3.26), taurocholic acid (OR = 1.78, 95% CI = 1.23 to 2.58), glycochenodeoxycholic acid (OR = 1.68, 95% CI = 1.13 to 2.48), taurochenodeoxycholic acid (OR = 1.62, 95% CI = 1.11 to 2.36), and glycohyocholic acid (OR = 1.65, 95% CI = 1.13 to 2.40), and the secondary bile acids glycodeoxycholic acid (OR = 1.68, 95% CI = 1.12 to 2.54) and taurodeoxycholic acid (OR = 1.54, 95% CI = 1.02 to 2.31). By contrast, unconjugated bile acids and tertiary bile acids were not associated with risk. Conclusions This prospective study showed that prediagnostic levels of certain conjugated primary and secondary bile acids were positively associated with risk of colon cancer. Our findings support experimental data to suggest that a high bile acid load is colon cancer promotive.

scholarly journals Comparison of Performance Between a Short Categorized Lifestyle Exposure-based Colon Cancer Risk Prediction Tool and a Model Using Continuous Measures

2018 ◽  
Vol 11 (12) ◽  
pp. 841-848 ◽  
Author(s):  
Ying Liu ◽  
Graham A. Colditz ◽  
Bernard A. Rosner ◽  
Hank Dart ◽  
Esther Wei ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Cancer Risk ◽  
Risk Prediction ◽  
Prediction Tool ◽  
Colon Cancer Risk ◽  
Continuous Measures
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