| Literature DB >> 29113365 |
Jian Liu1, Yongquan Dong1, Chao Lu2, Yina Wang1, Ling Peng1, Mengjie Jiang3, Yemin Tang1, Qiong Zhao1.
Abstract
In this meta-analysis, we analyzed the association between vitamin D levels and lung carcinoma risk and outcomes. Two authors independently searched the Web of Science, Pubmed, EBSCO and Ovid MEDLINE resources with the key words "vitamin D, lung cancer, solar and latitude" and enrolled 22 studies that satisfied the inclusion criteria. The summary odds ratios (ORs) with 95% confidence intervals (CIs) were calculated using the random (or fixed)-effects model. Potential confounders were carefully adjusted. High vitamin D (or calcium) intake and serum 25(OH)D levels each correlated inversely with lung cancer risk [OR = 0.72 (95% CI: 0.61-0.85, p < 0.001) and OR = 0.89 (95% CI: 0.83-0.97, p < 0.05)]. High circulating 25(OH)D levels also reduced lung cancer mortality with the pooled OR reached 0.39 (95% CI: 0.28-0.54, p < 0.001)]. A positive trend was presented in the relationship between serum 25(OH) D and survival (OR = 1.01, 95% CI: 0.87-1.18, p = 0.87). Subgroup analysis revealed that nonsmokers had higher vitamin D levels, which correlated negatively with lung cancer risk (OR = 0.76, 95% CI: 0.65-0.88, p < 0.01). Moreover, lower sun exposure and high latitude associated with lower vitamin D levels. This meta-analysis shows that high vitamin D (or calcium) intake and serum 25(OH)D levels correlate with lower lung cancer risk and better prognosis. UVB and latitude may play a vital role in lung cancer occurrence and progression, although a direct evidence hasn't been obtained.Entities:
Keywords: lung cancer; risk; survival; vitamin D
Year: 2017 PMID: 29113365 PMCID: PMC5655260 DOI: 10.18632/oncotarget.18766
Source DB: PubMed Journal: Oncotarget ISSN: 1949-2553
Figure 1Flow diagram of study selection process
Characteristics of the selected studies
| OR | 95% CI | Country | Follow-up period | Age (years) | Sex | Smokers (%) | Partipants | Lung cancer cases | Measurement | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kilkkinen, A. 2008 [ | 0.72 | 0.43 | 1.19 | Finland | 24 y | 49.6 | Both | NG | C:29.6 | NG | 6,937 | 122 | RIA |
| Weinstein, S.J. 2011 [ | 0.91 | 0.48 | 1.72 | Finland | 20 y | 59 | Male | NG | C:100 | NG | 29,133 | 500 | CLIA |
| Afzal, S. 2013 [ | 0.57 | 0.43 | 0.75 | Denmark | 28 y | 58 | Both | Ever smoker: 3.3 | 9,791 | 507 | CLIA | ||
| Skaaby, T. 2014 (Monica10) [ | 40-71 | Both | F:27.4 | C:45.2 | O:0.9 | 2,649 | 84 | CTIA | |||||
| Skaaby, T. 2014 (Inter99) [ | 0.91 | 0.51 | 1,62 | Denmark | 11.3 y | 30-60 | Both | F:25.5 | C:35.2 | O:3.5 | 6,146 | 36 | HPLC |
| Skaaby, T. 2014 (Health2006) [ | 18-69 | Both | F:32.3 | C:22.2 | O:3.2 | 3,409 | 6 | ECLIA | |||||
| Wong, Y.Y. 2014 [ | 0.99 | 0.59 | 1,68 | Australia | 6.7 y | 77.9 | Male | F:61.4 | C:5.04 | NG | 4,208 | 101 | CLIA |
| Wang, X. 2015 [ | 0.41 | 0.19 | 0.91 | China | NG | 57.1 | Both | F:20 | C:48 | NG | 200 | 100 | LC/MS/MS |
| Ordonez-Mena, J.M. 2016 (ESTHER) [ | 1.07 | 0.64 | 1.78 | Germany | 10 y | 63 | Both | F:31.6 | C:16.5 | NG | 8,928 | 134 | CLIA |
| Ordonez-Mena, J.M. 2016 (TROMSØ) [ | 1.07 | 0.64 | 1.78 | Germany | 10 y | 63 | Both | F:31.6 | C:16.5 | NG | 8,928 | 134 | CLIA |
| Wu, X. 2016 [ | 0.74 | 0.51 | 1.19 | China | NG | 57.4 | Both | NG | C:59.1 | NG | 871 | 426 | RIA |
| Yumie Takata 2012 [ | 0.66 | 0.48 | 0.91 | China | 11.2 y | 59.1 | Female | NG | NG | NG | 71,267 | 428 | NG |
| Cheng, T. Y. 2013 [ | 0.92 | 0.69 | 1.21 | USA | 7 y | 63 | Female | F:40.3 | C:7.3 | NG | 128,779 | 1,771 | NG |
| Cheng, T. Y. 2014 [ | 0.67 | 0.32 | 1.39 | USA | 4 y | 60.8 | Both | F:70.4 | C29.6 | NG | 1,428 | 749 | NG |
| Redaniel, M. T. 2014 [ | 0.89 | 0.7 | 1.13 | UK | 5 y | > 55 | Female | F:23.3 | C:58.1 | NG | 6,750 | 484 | NG |
| Mahabir, S. 2010 [ | 0.92 | 0.84 | 1.01 | USA | 7 y | 50-71 | Both | F:49.0 | C:12 | NG | 482,875 | 7,052 | NG |
| Li, K. 2011 [ | 0.71 | 0.14 | 1.21 | German | 11 y | 35-64 | Both | NG | NG | NG | 24,323 | 147 | NG |
| Zhou, Wei 2005 [ | 1.64 | 1.17 | 2.29 | USA | NG | 66 | NG | F:5.7 | C:4.4 | NG | 2,048 | 923 | NG |
| Zhou, W. 2007 [ | 0.74 | 0.5 | 1.1 | USA | 72 m | 68.6 | Both | F:48.8 | C:33.8 | NG | NG | 447 | RIA |
| Heist, R. S. 2008 [ | 1.08 | 0.75 | 1.57 | USA | 42 m | 62 | Both | F:45 | C:47 | NG | NG | 294 | RIA |
| Anic, G. M. 2014 [ | 1.18 | 0.89 | 1.56 | Finland | NG | 58.6 | Male | NG | C:100 | NG | NG | 500 | CLIA |
| Vashi, P. G. 2015 [ | 0.99 | 0.78 | 1.26 | USA | 10.8 m | 57.4 | Both | F:39.8 | C:39.8 | NG | NG | 359 | CLIA |
| Liu, Y. 2011 [ | 2.54 | 1.01 | 6.41 | China | 72 m | NG | Both | NG | NG | NG | NG | 568 | ELISA |
| Cheng, T. Y. 2012 [ | 0.53 | 0.31 | 0.92 | USA | 12 y | 43.7 | Both | F:23.7 | C:25.0 | NG | 16,693 | 258 | RIA |
| Tretli, S. 2012 [ | 0.18 | 0.11 | 0.29 | Norwegian | NG | 56.5 | Both | NG | NG | NG | 658 | 210 | RIA |
NG: not given; RIA: radio-immunoassay; CLIA: chemiluminescent immunoassay; HPLC: high-performance liquid chromatography; ECLIA: electroluminescence immunoassay; ELISA: enzyme-linked immunosorbent assay; LCMS/MS: liquid chromatography tandem mass spectrometry; USA: United States; UK: United Kingdom; C: Current smoker; F: Former smoker; O: Occasional smoker; y: year; m: month.
Figure 2Forest plots analyzing (A) serum vitamin D levels and lung cancer risk; and (B) vitamin D dietary intake and lung cancer risk.
Figure 3Forest plots of subgroup analysis of vitamin D intake and lung cancer risk in (A) nonsmokers; (B) former smokers and (C) current smokers.
Figure 4Forest plots analyzing (A) serum vitamin D values and lung cancer survival; and (B) serum vitamin D values and lung cancer mortality.