| Literature DB >> 26321888 |
Alicia Garcia-Anguita1, Artemisia Kakourou1, Konstantinos K Tsilidis2.
Abstract
A substantial number of prospective epidemiological studies have been conducted to investigate the association between biomarkers of inflammation and immune function and risk of colorectal cancer. Although pre-diagnostic concentrations of these biomarkers, especially C-reactive protein, have been associated with a higher risk of colorectal cancer in some studies, this association does not seem to have a robust support without hints of bias. Future prospective studies should evaluate multiple inflammatory biomarkers with longitudinal measures over the follow-up taking advantage of new multiplex cytokine quantification arrays and use more sophisticated joint or biomarker pattern statistical approaches to capture the complex and dynamic interplay between biomarkers and risk of colorectal cancer. Large collaborative consortia and Mendelian randomization studies should be encouraged to diminish the threat of biases and improve the reliability of this literature.Entities:
Keywords: Biomarkers; C-reactive protein; Cohort studies; Colorectal cancer; Genetic polymorphisms; Inflammation; Interleukin 6; Risk of bias; Tumor necrosis factor α
Year: 2015 PMID: 26321888 PMCID: PMC4550652 DOI: 10.1007/s11888-015-0282-5
Source DB: PubMed Journal: Curr Colorectal Cancer Rep ISSN: 1556-3790
Characteristics of studies investigating the association between circulating concentrations of inflammatory biomarkers (per one unit change in the ln-transformed concentrations of CRP, IL-6, and TNF-α) and the risk of colorectal cancer
| Author, year | Country | Population | Study design | No. of cases | No. of controls/population | Inflammatory biomarkers | RR (95 % CI) |
|---|---|---|---|---|---|---|---|
| Erlinger, 2004 [ | USA | CLUE II | NCC | 172 | 342 | CRP | Colorectum 1.27 (1.03–1.57) |
| Zhang, 2005 [ | USA | WHS | Cohort | 169 | 27,913 | CRP | Colorectum 0.89 (0.76–1.04) |
| Ito, 2005 [ | Japan | JACC | NCC | 141 | 327 | CRP | Colorectum 1.11 (0.94–1.31) |
| Il’yasova, 2005 [ | USA | HABCS | Cohort | 41 | 2438 | CRP IL-6 TNF-α | Colorectum 1.44 (1.03–2.02) |
| Trichopoulos, 2006 [ | Greece | EPIC-Greece | NCC | 48 | 996 | CRP | Colorectum 1.19 (0.81–1.74) |
| Siemes, 2006 [ | Netherlands | Rotterdam Study | Cohort | 189 | 6273 | CRP | Colorectum 1.04 (0.88–1.22) |
| Otani, 2006 [ | Japan | JPHC | NCC | 375 | 750 | CRP | Colorectum 1.11 (0.95–1.30) |
| Gunter, 2006 [ | Finland | ATBC | NCC | 130 | 260 | CRP | Colorectum 1.33 (1.05–1.69) |
| Heikkila, 2009 [ | UK | BWHHS | Cohort | 32 | 3274 | CRP IL-6 | Colorectum 0.97 (0.70–1.34) |
| Heikkila, 2009 [ | UK | Caerphilly | Cohort | 41 | 1144 | CRP IL-6 | Colorectum 0.89 (0.66–1.22) |
| Allin, 2009 [ | Denmark | CCHS | Cohort | 191 | 10,082 | CRP | Colorectum 1.52 (0.86–2.67) |
| Aleksandrova, 2010 [ | Europe | EPIC | NCC | 1096 | 1096 | CRP | Colorectum 1.06 (0.99–1.13) |
| Chan, 2011 [ | USA | NHS | NCC | 280 | 555 | CRP IL-6 | Colorectum 0.85 (0.67–1.09) |
| Lee, 2011 [ | Korea | Health exam records | Cohort | 158 | 80,781 | CRP | Colorectum 1.59 (1.13–2.22) |
| Prizment, 2011 [ | USA | ARIC | Cohort | 166 | 9836 | CRP | Colorectum 1.36 (1.06–1.75) |
| Van Hemelrijck, 2011 [ | Sweden | AMORIS | Cohort | 480 | 102,749 | CRP | Colon 1.00 (0.92–1.07) |
| Ho, 2012 [ | USA | WHI-OS | NCC | 457 | 841 | IL-6 TNF-α | Colorectum 0.91 (0.60–1.38) |
| Toriola, 2013 [ | USA | WHI-OS | NCC | 988 | 988 | CRP | Colorectum 1.09 (0.97–1.24) |
| Song, 2013 [ | USA | HPFS | NCC | 274 | 532 | CRP IL-6 | Colorectum 1.25 (0.94–1.67) |
| Wu, 2013 [ | China | SMHS | NCC | 288 | 576 | CRP | Colorectum 1.65 (1.10–2.48) |
CRP C-reactive protein; IL-6 interleukin-6; TNF-α tumor necrosis factor alpha; NCC nested case-control study; RR relative risk; WHS Women’s Health Study; JACC Japan Collaborative Cohort Study; JPHC The Japan Public Health Center-based Prospective Study; ATBC Alpha-Tocopherol Beta-Carotene Cancer Prevention Study; CCHS Copenhagen City Heart Study; EPIC European Prospective Investigation into Cancer and Nutrition; AMORIS Apolipoprotein Mortality RISk study; ARIC Atherosclerosis Risk in Communities study; NHS Nurses’ Health Study; BWHHS British Women’s Heart and Health Study; HPFS Health Professionals Follow-up Study; HABCS Health, Aging and Body Composition cohort; WHI-OS Women’s Health Initiative Observational Study; SMHS Shanghai Men’s Health Study
aAssociation reported for top vs. bottom quartile