Background
Methods
Obesity and cancer
Obesity and vitamin D: a meta-analysis
Literature search strategy
Inclusion criteria
Data extraction
Statistical methods
Vitamin D and cancer
Results
Obesity and cancer
Author/Year
|
Pooled RR (95% CI)
|
Number and type of studies included
|
---|---|---|
Colorectal
| ||
Ma Y et al., 2013 | 1.334 (1.253-1.420) | 41 prospective studies |
Matsuo K et al., 2012 | Per 1 kg/m2: 1.03 (1.02-1.04); Males: 1.02 (1.00-1.03); Females: 1.02 (1.00-1.03) | 8 cohort studies |
Ning Y et al., 2010 | Per 5 kg/m2: 18% increased risk | 56 studies |
Harriss DJ et al., 2009 | Per 5 kg/m2: 1.24 (1.20-1.28) | 3 ca/co and 26 cohort studies |
Moghaddam AA et al., 2007 | 1.19 (1.11-1.29) | 23 cohort and 8 ca/co studies |
Dai Z et al., 2007 | Males: 1.37 (1.21-1.56); Females: 1.07 (0.97-1.18) | 15 cohort studies |
Larsson SC et al., 2007 (Am J Clin Nutr)
| Per 5 kg/m2: Males: 1.30 (1.25-1.35); Females 1.12 (1.07-1.18) | 30 prospective studies |
Upper Gastrointestinal
| ||
Hoyo C et al., 2012 | 2.39 (1.86-3.06) | 12 ca/co studies |
Yang P et al., 2009 | 1.22 (1.06-1.41) | 10 cohort studies |
Larsson SC et al., 2007 (Br J Cancer, Vol.96)
| 1.66 ( 1.47-1.88) | 3 ca/co and 8 cohort studies |
Kubo A et al., 2006 | Males: 2.40 (1.90-3.20); Females: 2.10 (1.40-3.20) | 2 cohort and 12 ca/co studies |
Liver
| ||
Rui R et al., 2012 | 1.35 (1.24-1.47) | 12 prospective studies |
Chen Y et al., 2012 | 1.83 (1.59-2.11) | 26 prospective studies |
Larsson SC et al., 2007 (Br J Cancer, Vol.97)
| 1.89 (1.51-2.36) | 11 cohort studies |
Wang Y et al., 2012 | Per 5 kg/m2: 1.39 (1.25-1.55) | 21 prospective studies |
Lung
| ||
Yang Y et al., 2013 | 0.79 (0.73-0.85) | 20 cohort and 11 ca/co studies |
Pancreatic
| ||
Aune D et al., 2012 | Per 5 kg/m2: 1.10 (1.07-1.14) | 23 prospective studies |
Genkinger JM et al., 2011 | 1.30 (1.09-1.56) | 14 cohort studies |
Jiao L et al., 2010 | 1.19 (1.05-1.35) | 7 prospective cohorts |
Berrington de Gonzalez A et al., 2003 | 1.19 (1.10-1.29) | 8 cohort and 6 ca/co studies |
Kidney
| ||
Mathew A et al., 2009 | Per unit BMI: Cohorts: 1.06 (1.05-1.07); ca/co: 1.07 (1.06-1.08) | 15 cohort and 13 ca/co studies |
Bergström A et al., 2001 | Per unit BMI: 1.07 (1.05-1.09) | 6 cohort and 22 ca/co studies |
Bladder
| ||
Qin Q et al., 2013 | 1.10 (1.06-1.16) | 11 cohort studies |
Prostate
| ||
Discacciati A et al., 2012 | Locally advanced per 5kg/m2 0.94 (0.91-0.99); Advanced 1.09 (1.02-1.16) | 25 prospective studies |
MacInnis RJ et al., 2006 | Per 5 kg/m2: 1.05 (1.01-1.08) | 31 cohort and 25 ca/co studies |
Breast
| ||
Cheraghi Z et al., 2012 | Pre-menopausal: 0.93 (0.86-1.02); Post-menopausal: 1.15 (1.07-1.24) | 50 studies |
Pierobon M et al., 2013 | 1.20 (1.03-1.40); Pre-menopausal: 1.43 (1.23-1.65); Post–menopausal: 0.99 (0.79-1.24) | 11 ca/co studies |
Key TJ et al., 2003 | 1.36 (1.10-1.85) | 8 prospective studies |
Ovarian
| ||
Olsen CM et al., 2007 | 1.30 (1.10-1.50) | 13 ca/co and 12 cohort studies |
Endometrial
| ||
Esposito K et al., 2014 | 2.21 (1.50-3.24) | 4 ca/co and 1 cohort studies |
Melanoma
| ||
Sergentanis TN et al., 2013 | Males: 1.31 (1.19-1.44); Females: 0.99 (0.83-1.18) | 11 ca/co and 10 cohort studies |
All cancers
| ||
Renehan AG et al., 2008 | Per 5kg/m2: Men: Oesophageal: 1.52 (1.33-1.74); Thyroid: 1.33 (1.04-1.70); Colon: 1.24 (1.20-1.28); Renal: 1.24 (1.15-1.34) | 141 studies |
Per 5kg/m2: Women: Endometrial: 1.59 (1.50-1.68); Gallbladder: 1.59 (1.02-2.47); Oesophageal: 1.51 (1.31-1.74); Renal: 1.34 (1.25-1.43) |
Obesity and vitamin D
Author/ Year | Country | Sex | Type of study | Study size |
---|---|---|---|---|
Mai XM et al., 2012 | Norway | Both | Cohort | 2460 subjects |
Goldner WS et al., 2008 | USA | Both | Case/control | 41 cases/41 controls |
Hyppönen E et al., 2006 | UK | Both | Cohort | 7,198 subjects |
Al-Sultan AI et al., 2011 | Saudi Arabia | Both | Case/control | 76 cases / 84 controls |
Campagna AM et al., 2013 | USA | Both | Cohort | 1,378 subjects |
Turer CB et al., 2013 | USA | Both | Cross-sectional | 12,292 subjects |
Guasch A et al., 2012 | Spain | Both | Cross-sectional | 316 subjects |
Poomthavorn P et al., 2012 | Thailand | Both | Cross-sectional | 179 subjects |
Olson ML et al., 2012 | USA | Both | Cross-sectional | 411 cases/ 87 controls |
Shea MK et al., 2011 | USA | Both | Cross-sectional | 2581 subjects |
Elizondo-Montemayor L et al., 2010 | Mexico | Both | Cross-sectional | 198 subjects |
Cizmecioglu FM et al., 2008 | Turkey | Both | Cross-sectional | 301 subjects |
Vitamin D and cancer
Cancer | Study, publication year | Country | No. of subjects; Type of study | RR (95% CI) | Notes | Measure/Range of vitamin D |
---|---|---|---|---|---|---|
Breast
| Bauer SR et al., 2013 | USA | 11,656; 9 prospective | 0.99 (0.97-1.04) | Pre-menopausal | 17-33.1 ng/mL (Mean) |
Bauer SR et al., 2013 | USA | 11,656; 9 prospective | 0.97 (0.93-1.00) | Post-menopausal | 17-33.1 ng/mL (Mean) | |
Yin L et al., 2010 | Germany | Case-control | 0.74 (0.69-0.80) | By 20 ng/mL increase | ||
Chen P et al., 2010 | China | 11,330; 4 case-control/3 nested case-control | 0.55 (0.38-0.80) | Top vs. bottom quantiles (varies) | ||
Gandini S et al., 2011 | France | 10 studies | 0.89 (0.81-0.98) | By 10 ng/mL increase | ||
Chen P et al., 2013 | China | 26,317; 21 studies | 0.52 (0.40-0.68) | By 1 ng/mL increase | ||
Kidney
| Gallicchio L et al., 2010 | USA | 1,550; 8 cohorts | 1.12 (0.79-1.59) | Low <37.5 nmol/L | <37.5 vs. 50-<75 (ref) nmol/L |
Gallicchio L et al., 2010 | USA | 1,550; 8 cohorts | 1.01 (0.65-1.58) | High ≥75 nmol/L | ≥75 vs. 50-<75 (ref) nmol/L | |
Pancreatic
| Stolzenberg-Solomon RZ et al., 2010 | USA | 2,285; 8 cohorts | 0.96 (0.66-1.40) | Low <25 nmol/L | <25 vs. 50-<75 (ref) nmol/L |
Stolzenberg-Solomon RZ et al., 2010 | USA | 2,285; 8 cohorts | 2.14 (0.93-4.92) | High ≥100 nmol/L | ≥100 vs. 50-<75 (ref) nmol/L | |
Colorectal
| Touvier M et al., 2011 | UK | 6 studies | 0.96 (0.94-0.97) | 200-1,800 IU/L | |
Lee JE et al., 2011 | USA | 8 prospective | 0.66 (0.54-0.81) | Top vs. bottom quantiles (varies) | ||
Ma Y et al., 2011 | China | 6,715; 9 studies | 0.67 (0.54-0.80) | Top vs. bottom categories (varies) | ||
Yin L et al., 2009 (Aliment Pharmacol Ther)
| Germany | 3,556; 8 studies | 0.57 (0.43-0.76) | By 20 ng/mL increase | ||
Gorham ED et al., 2007 | USA | 1,448; 5 nested case–control | 0.49 (0.35-0.68) | Top vs. bottom quintile (varies) | ||
Gandini S et al., 2011 | France | 9 studies | 0.85 (0.79-0.91) | By 10 ng/mL increase | ||
Prostate
| Gilbert R et al., 2011 | UK | 14 cohort/nested case–control | 1.04 (0.99-1.10) | By 10 ng/mL increase | |
Yin L et al., 2009 (Cancer Epidemiol)
| Germany | 7,806; 11 studies | 1.03 (0.96-1.11) | By 10 ng/mL increase | ||
Gandini S et al., 2011 | France | 11 studies | 0.99 (0.95-1.03) | By 10 ng/mL increase | ||
Ovarian
| Yin L et al., 2011 | Germany | 2,488; 10 longitudinal | 0.83 (0.63-1.08) | By 20 ng/mL increase | |
All Cancers
| Yin L et al., 2013 | Germany | 5 studies | 0.89 (0.81-0.97) | Total cancer incidence | Per 50nmol/L increase |
13 studies | 0.83 (0.71-0.96) | Total cancer mortality | Per 50nmol/L increase | |||
3 studies | 0.76 (0.60-0.98) | Total cancer mortality (women) | Per 50nmol/L increase | |||
5 studies | 0.92 (0.65-1.32) | Total cancer mortality (men) | Per 50nmol/L increase |
Cancer | NCT# | Country | No. of subjects | Intervention | Status | Main finding |
---|---|---|---|---|---|---|
Colorectal | NCT00870961 | USA | 22 | VDS | Terminated | Not reported |
Colon | NCT00470353 | USA | 8 | VDS, CaCO3
| Terminated | Not reported |
Lung | NCT01631526 | Canada | 80 | VDS | Active recruitment | |
Colorectal | NCT01074216 | USA | 49 | VDS | Active, not recruiting | |
Not specified | NCT01169259 | USA | 20,000 | VDS, fish oil | Active recruitment | |
Not specified | NCT01463813 | Finland | 18,000 | VDS | Active recruitment | |
Prostate | NCT0887432 | USA | 100 | VDS | Active recruitment | |
Colorectal | NCT01516216 | USA | 120 | VDS, folfox, bevacizumab | Active recruitment | |
Ovarian | NCT01744821 | USA | 80 | VDS | Active recruitment | |
Breast | NCT01224678 | USA | 180 | VDS | Active, not recruiting | |
Colon, prostate | NCT00585637 | USA | 328 | VDS | Active, not recruiting | |
Lymphoma, leukaemia, colon, breast, rectal | NCT01787409 | USA | 956 | VDS | Active, not recruiting | |
Breast | NCT01747720 | Canada | 376 | VDS | Active recruitment | |
Breast, leukaemia, colon, lymphoma, lung, myeloma | NCT01052051 | USA | 2,300 | VDS | Active, not recruiting | |
Prostate | NCT01325311 | USA | 50 | VDS, genistein | Active recruitment | |
Prostate | NCT00022412 | USA | 60 | VDS | Active, not recruiting | |
Breast | NCT01097278 | USA | 200 | VDS | Active recruitment | |
Breast | NCT01816555 | USA | 20 | VDS | Active recruitment | |
Leukaemia | NCT01521936 | USA | 4 | VDS | Active, not recruiting | |
Solid tumours | NCT00004926 | USA | NA | VDS | Completed | Not reported |
Leukaemia, myeloma | NCT00068276 | USA | NA | VDS | Completed | Not reported |
Prostate | NCT00004928 | USA | NA | VDS, zoledronate | Completed | Not reported |
Colorectal | NCT01574027 | USA | 55 | VDS | Completed | Not reported |
Breast | NCT01240213 | USA | 218 | VDS | Completed | Not reported |
Colorectal | NCT00208793 | USA | 92 | VDS | Completed | Not reported |
Colon | NCT00298545 | USA | 10 | VDS, calcium | Completed | Not reported |
Prostate | NCT01045108 | USA | 52 | VDS | Completed | Not reported |
Prostate | NCT00524680 | USA | 128 | VDS | Completed | Not reported |
Pancreatic | NCT00238199 | USA | 25 | VDS, docetaxel | Completed | Not reported |
Prostate | NCT00004043 | USA | 25 | VDS | Completed | Not reported |
Breast, colon | NCT00000611 | USA | 18,176 | VDS, CaCO3
| Completed | No effect |
Not specified | NCT00352170 | USA | 1,179 | VDS, CaCO3
| Completed | All-cancer risk reduction |
Colorectal | NCT01150877 | Canada | 40 | VDS | Unknown | |
Prostate | NCT00741364 | Canada | 90 | VDS | Unknown | |
Prostate | NCT00482157 | USA | 24 | VDS | Unknown | |
Colorectal | NCT01403103 | NA | 0 | VDS | Withdrawn |