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The impact of vitamin D pathway genetic variation and circulating 25-hydroxyvitamin D on cancer outcome: systematic review and meta-analysis

P G Vaughan-Shaw, F O'Sullivan, S M Farrington and 4 more

British Journal of Cancer · 2017 · Meta-analysis

doi:10.1038/bjc.2017.44

Abstract

Background:. Vitamin D has been linked with improved cancer outcome. This systematic review and meta-analysis investigates the relationship between cancer outcomes and both vitamin D-related genetic variation and circulating 25-hydroxyvitamin D (25OHD) concentration.

Methods:. A systematic review and meta-analysis of papers until November 2016 on PubMed, EMBASE and Web of Science pertaining to association between circulating vitamin D level, functionally relevant vitamin D receptor genetic variants and variants within vitamin D pathway genes and cancer survival or disease progression was performed.

Results:. A total of 44 165 cases from 64 studies were included in meta-analyses. Higher 25OHD was associated with better overall survival (hazard ratio (HR=0.74, 95% CI: 0.66–0.82) and progression-free survival (HR=0.84, 95% CI: 0.77–0.91). The rs1544410 (BsmI) variant was associated with overall survival (HR=1.40, 95% CI: 1.05–1.75) and rs7975232 (ApaI) with progression-free survival (HR=1.29, 95% CI: 1.02–1.56). The rs2228570 (FokI) variant was associated with overall survival in lung cancer patients (HR=1.29, 95% CI: 1.0–1.57), with a suggestive association across all cancers (HR=1.26, 95% CI: 0.96–1.56).

Conclusions:. Higher 25OHD concentration is associated with better cancer outcome, and the observed association of functional variants in vitamin D pathway genes with outcome supports a causal link. This analysis provides powerful background rationale to instigate clinical trials to investigate the potential beneficial effect of vitamin D in the context of stratification by genotype.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 25, 2026. Paragraph numbers are ours, so an answer can point at one.

The importance of vitamin D for bone health is well established, but the role of vitamin D beyond the skeletal system has been under debate for decades. In recent years, it has become apparent that the vitamin D receptor (VDR) is expressed in most cells, and that multiple tissues have the ability to convert the primary circulating form of vitamin D into the active form, implying that extra-skeletal effects of vitamin D are likely.

While typically thought of as ‘vitamin', it may be more appropriate to regard the primary circulating form, 25-hydroxyvitamin D (25OHD), as a pre-hormone and the primary active form, 1,25-dihydroxyvitamin D (1,25(OH)2D), as a hormone. It has been previously recognised that mutations in genes involved in response to hormones, their metabolism or actions may affect the prognosis of disease and thus act as modifiers. Correspondingly, 1,25(OH)2D binds to the VDR (a ligand-dependent transcription factor) and polymorphisms in the VDR gene have been shown to modify the activity of this VitD–VDR complex: for example, rs11568820 is situated in the VDR promoter region and can influence transcriptional activity, while rs2228570 affects the translational start site. Therefore, it is hypothesised that not only vitamin D status but also expression and structure of VDR determine molecular actions, and can potentially modify cancer risk and survival. The VitD–VDR complex has the ability to exert downstream biological effects; amongst others, it can regulate the expression of multiple target genes, including several with anti-tumour properties. Moreover, polymorphisms in the VDR gene have been linked to cancer risk, including prostate, breast, skin and bowel, and VDR expression has been linked to survival in prostate and breast cancer. Unlike highly variable environmental exposures (sunlight, diet and supplements) or seasonally varying 25OHD levels, genetic variants are constant, present since conception and cannot be modified by the disease; thereby removing reverse causation concerns.

Three aspects further strengthen the case for understanding the associations between vitamin D and cancer outcomes: first, cancer incidence and mortality are increasing; second, vitamin D deficiency is common worldwide among otherwise healthy individuals, and particularly among cancer patients, and third, vitamin D deficiency is a modifiable risk factor; based on the studies that report an association between vitamin D deficiency and poorer cancers outcomes. Unsurprisingly, it has been proposed that vitamin D may have potential value as an adjuvant chemotherapeutic agent, particularly since vitamin D supplements are cheap, safe and readily available.

Here we present a systematic review and meta-analysis examining the role of vitamin D on cancer progression and survival. We conducted a comprehensive evaluation of the literature that examines the associations between cancer outcomes and genetic factors involved in the vitamin D pathway, in addition to circulating 25OHD concentration. Focus on vitamin D-related genetic variation allowed us to partially mitigate against potential confounding or reverse causation, biases that typically limit implications of findings from observational vitamin D studies.

Literature search

We performed a systematic literature review and meta-analysis following PRISMA guidelines. The electronic databases PubMed, EMBASE, and Web of Science were searched up to week 3, November 2015. We searched for studies that examined the association between cancer outcomes and (i) measured vitamin D levels and (ii) genetic factors known to affect vitamin D metabolism or pathways. A list of search terms was compiled using a number of core papers in the field. For cancer outcomes, we included a combination of terms: cancer, neoplasm, malignant, malignancy with survival, outcome, prognosis, mortality, death, recurrence. For vitamin D levels, we included terms: 25-hydroxyvitamin D, calcidiol and 25OHD; for vitamin D receptor, and for commonly studied variants, we searched for: vitamin D receptor, VDR, rs1544410, BsmI, rs10735810, rs2228570, FokI, rs7975232, ApaI, rs11568820, Cdx-2, rs2282679, rs12785878, rs10741657 and rs6013897. Finally, we also included variation in genes related to vitamin D synthesis, transport or metabolism: 1-α-hydroxylase, CYP27B1, 25-hydroxylase, CYP2R1, 24-hydroxylase, CYP24A1, vitamin D binding protein, 27-hydroxlyase and CYP27A1. Genetic variants beyond those explicitly searched for were only included if previously shown to affect vitamin D metabolism. We considered all human research full text articles, with no restriction on language or article type. Bibliographies of retrieved papers and previous reviews were hand-searched to identify other relevant studies.

Selection criteria and selection of relevant studies

Study inclusion ‘PICO' criteria were as follows: (i) participants: individuals of any age who received a diagnosis of cancer; (ii) intervention/Exposures: assessment of vitamin D status or genetic factors known to affect vitamin D concentration, metabolism or pathways; (iii) comparators: study reports a quantitative association between cancer outcome and either vitamin D status (e.g., concentration, quartiles, low/high levels) sampled at most 1 year prior to the diagnosis, or any germline genetic variation or gene expression in normal tissue; and (iv) Outcome: cancer-specific or all-cause mortality, or disease progression (e.g., disease-free survival, local recurrence or metastasis). Observational retrospective and prospective cohorts were included.

In relation to patients, exclusion criteria were: (i) pre-cancerous lesions, and (ii) mixed-cancer cohort without site-specific reporting; in relation to exposures: (iii) vitamin D intake and supplementation, (iv) acquired non-germline mutations or tumour gene expression, and (v) predicted vitamin D status; in relation to outcomes: (vi) prognostic markers such as Prostate Specific Antigen or Breslow thickness, (vii) population cancer mortality rates; in relation to study/publication type: (viii) ecological studies, and (ix) reviews, editorials, case reports, conference abstracts and nonclinical publications. If the same patient cohort was reported on more than once, we used the highest quality, largest sample size or most recent publication. Article titles and abstracts were screened for eligibility, independently by two authors (PVS and LZ or FOS). Disagreements were resolved by discussion and review of full text.

Data extraction

The data extraction was performed by a single investigator (PVS or FOS) using the predefined data fields and extraction was cross-checked by a second investigator in its entirety (FOS or PVS). The data from eligible studies were extracted using a tailored data extraction form that included the following information: first author, publication year, location or ethnicity of patients, sample size, mean age, gender, cancer site (subtype/histology where relevant), cancer stage, any interventions (e.g., chemotherapy), vitamin D exposure studied and important meta-data (time of sampling, mean/median 25OHD values or range for categories being compared; SNP position, name and rs ID, genotypes compared and model: additive, recessive or dominant), covariates considered, details of outcomes studied, and follow-up time. Finally, hazard ratios (HR) and 95% confidence intervals (95% CIs) adjusted for the maximum number of confounding variables were extracted. We preferentially focused on cancer-specific mortality, but if these data were not available, all-cause mortality was used instead. Relative risk estimates (RR) or adjusted odds ratios (OR) were extracted where HR were not given and used in meta-analysis. Study authors were contacted to provide additional information where needed.

Quality assessment

The methodological quality of all studies included in the systematic review was performed using the Newcastle-Ottawa Quality Assessment Scale (NOS; ). Two investigators (PVS and FOS) applied predefined NOS criteria to each study to generate summary quality judgement. The risk of bias was considered ‘low' for studies with score of 7 or 8; ‘unclear' for score of 5 or 6, and ‘high' for score of 4 or lower.

Exposure assessment

The association between circulating 25OHD and outcomes was summarised in meta-analyses by comparing the risk in the highest to the lowest reported category. The majority of studies used vitamin D categories such as quartiles or tertiles. To enable inclusion of studies that used 25OHD as a continuous variable, we sought to transform the ‘continuous HR' into a ‘HR per 10 ng ml−1' (Box 1).

Genetic factors

For SNPs, the rs number naming convention was typically used in the paper and some recoding was needed to ensure that uniform reference system was followed. For example, where a restriction fragment length polymorphism was referenced, the mutation and risk allele were recoded (e.g., FokI f allele was converted to the rs2228570 T allele). The genome browser ENSEMBL (80 GRCh38.p2) was used to determine if alias names existed (e.g., FokI, rs10735810 and rs2228570 are the same variant). HR values were inverted where needed, so that the same allele acted as the reference. Where additive models were used, the HR values were squared in order to approximate the HR value for comparison between two homozygotes.

Statistical analysis

We conducted meta-analyses for a range of exposure-outcome pairs by cancer site and across all sites. A meta-analysis was performed if at least two studies considered the same exposure-outcome pair. The same study may have been included multiple times in different meta-analyses if it reported on multiple subpopulations, outcomes, and/or exposures. The extracted HRs and 95% CIs were used to calculate the pooled HR estimates. The standard errors (s.e.) were used to calculate weighting for each study. The DerSimonian and Laird random-effects model was used to calculate pooled HR because of the a priori expected heterogeneity between studies, due to differences among populations and methodological dissimilarities between studies; most notably, different definition of 25OHD categories. All analyses were performed in R, and the R-package ‘metafor' was used for meta-analyses. P-value <0.05 was considered statistically significant.

In order to assess the impact of study quality on results, meta-analyses were rerun (i) after exclusion of studies at high risk of bias, (ii) limited to studies at low risk of bias only, (iii) limited to studies that looked at cancer-specific mortality, (iv) excluding studies that used 25OHD as a continuous variable, and (v) excluding studies that reported RR or OR. The I2 statistic was calculated to quantify the degree of heterogeneity between studies and assess impact on the meta-analysis. To further explore this issues arising due to the striking differences in 25OHD category definition, we conducted a stratified analysis according to: (vi) the difference in mean/median 25OHD between ‘high' and ‘low' categories compared (below or ⩾20 ng ml−1), and (vii) the degree of deficiency in ‘low' category (mean/median 25OHD concentration below or ⩾12.5 ng ml−1). Publication and selection bias was investigated by checking for asymmetry in the funnel plots and running the Egger's regression test.

Results

A flowchart illustrating study selection is shown in Figure 1. After removal of duplicates, the search yielded 3070 potential articles. Irrelevant articles were eliminated after screening titles (N=2708) or abstracts (N=262). One hundred full-texts were considered for inclusion and assessed for eligibility and 19 were excluded. Finally, 81 articles were kept for the systematic review and 64 of these were included in the meta-analysis. The main characteristics of included studies are summarised in Table 1 and Table 2.

Assessment of included studies

The risk of bias assessment revealed that 35 studies (43%) had a low risk of bias, 35 (43%) had an uncertain, and 11 (14%) had a high risk of bias. The risk of bias assessment summary per each domain is shown in Supplementary Figure S1 and individual study scores in Supplementary Figure S2. Sixty-four studies were included in the meta-analysis, with a total of 44 165 patients. Most studies were conducted in the USA (N=24) and Europe; breast cancer was most commonly studied (N=15), followed by nine studies (each) on prostate cancer and colorectal cancer. In total, 157 HR estimates for a range of exposure-outcome pairs were included in meta-analyses: 77 estimates (from 41 studies) for association with 25OHD, and 80 estimates (from 27 studies) relating to genetic factors. Separate estimates were extracted for different patient subgroups (e.g., different type of haematological malignancy), different exposures (e.g., multiple polymorphisms), or different outcome (i.e., survival or disease progression). No patients were included more than once in meta-analysis, as separate meta-analyses have been conducted for each exposure-outcome pair. Very large differences were observed in definition of vitamin D categories being compared. For example, the median 25OHD concentration was 18.26 ng ml−1 in the ‘high' category in one study, yet this was actually lower than the median (19.7 ng ml−1) in the ‘low' category in another study. The variety of vitamin D categories, cutoffs and means/medians used are presented in Figure 2 and Supplementary Figure S3.

Circulating vitamin D and survival

Forty-eight estimates from 38 studies were included in the meta-analysis of 25OHD and survival (17 studies (45%) examined cancer-specific mortality), comprising in total 24 013 cancer patients. Twelve cancer types were represented: breast, haematological, head and neck, colorectal, lung, prostate, skin, pancreatic liver, gastric, kidney and ovarian cancers. Overall, a significantly reduced risk of death was observed when comparing those with high to those with low vitamin D levels; meta-analysis HR=0.74, 95% CI=0.66 to 0.82 (Figure 3). The same significant trend was also observed in subgroup meta-analysis for breast (HR=0.75, 95% CI=0.56–0.95), haematological (HR=0.59, 95% CI=0.42–0.77) and colorectal cancers (HR=0.75, 95% CI=0.60–0.90). There was also a non-significant trend towards better survival with increased 25OHD observed in the subgroup analysis for prostate, skin, head and neck cancers. Virtually no change in direction or significance in overall effect was observed in sensitivity analyses when excluding studies at high risk of bias (HR=0.73, 95% CI=0.65–0.80), focusing on the studies at low risk of bias only (HR=0.72, 95% CI=0.63–0.81), excluding studies that used continuous 25OHD (HR=0.73, 95% CI=0.65–0.80), limited to cancer-specific mortality studies only (HR=0.75, 95% CI=0.65–0.84), or to studies that strictly reported HR (HR=0.74, 95% CI=0.66–0.82). The same was true after selection of studies where the difference in mean/median between high and low categories being compared was over or below 20 ng ml−1; (HR=0.70, 95% CI=0.60–0.81, and HR=0.71, 95% CI=0.55–0.87, respectively), or when stratifying by the lower category mean/median below or greater than 12.5 ng ml−1 (HR=0.76, 95% CI=0.64–0.88, and HR=0.61, 95% CI=0.47–0.75, respectively) (for sensitivity analysis please see supplementary material).

The relationship between circulating vitamin D level and disease progression

Twenty-three studies investigated the association between circulating 25OHD and disease progression; from these studies 29 estimates were included in our meta-analysis comprising in total 14 307 patients with breast, haematological, head and neck, colorectal, prostate, skin, pancreatic, or ovarian cancer. Higher circulating vitamin D was associated with a significant reduction in disease progression for all cancers combined (HR=0.84, 95% CI=0.77–0.91; Figure 4); this was also observed in subgroup meta-analysis of breast (HR=0.66, 95% CI=0.45–0.88), haematological (HR=0.75, 95% CI=0.61–0.88) and skin cancer (HR=0.77, 95% CI=0.58–0.97). Findings remain fundamentally unchanged after exclusion of studies at high risk of bias (HR=0.82, 95% CI=0.74–0.90), limited to studies at low risk of bias only (HR=0.80, 95% CI=0.70–0.90) or excluding studies that used continuous 25OHD (HR=0.81, 95% CI=0.73–0.90), or limited to studies that strictly reported HR (HR=0.84, 95% CI=0.77–0.91). The same was true after selection of studies where the difference in mean/median between high and low categories being compared was over or below 20 ng ml−1; (HR=0.81, 95% CI=0.72–0.90, and HR=0.75, 95% CI=0.55–0.95, respectively), or when stratifying by the lower category mean/median below or greater than 12.5 ng ml−1 (HR=0.84, 95% CI=0.71–0.97, and HR=0.77, 95% CI=0.62–0.92, respectively) (for sensitivity analysis please see supplementary material.

VDR and other vitamin D pathway SNPs and survival

Twenty-one studies investigated the association between vitamin-D-related genetic variation and survival; 10 (48%) examined cancer-specific mortality. By far, the most commonly studied were polymorphisms in VDR gene, particularly rs2228570 (FokI), rs1544410 (BsmI), rs731236 (TaqI), rs11568820 (Cdx2), and rs7975232 (ApaI). In meta-analysis, rs1544410 TT/TC genotypes were associated with worse survival compared to CC genotype (HR=1.40, 95% CI=1.05–1.75; Figure 5). The same direction of the effect was observed in the sensitivity analyses after exclusion of studies with NOS<7 (Supplementary Figure S4) and those reporting on cancer-specific mortality, but the association was no longer significant (Supplementary Figure S5). In lung cancer patients, a poorer outcome was observed to be associated with rs2228570 TT/TC carriers (HR=1.29, 95% CI=1.00–1.57) and a consistent albeit non-significant association was found across all cancers (HR=1.26, 95% CI=0.96–1.56). A significant association was observed with rs731236 (Taq1) variant when limited to studies at low risk of bias (NOS score ⩾7; HR=0.79, 95% CI=0.62–0.95, Supplementary Figure S4). Other genetic factors were investigated in at most three original studies and no other statistically significant results were observed.

VDR and vitamin D pathway SNPs and disease progression

Ten studies examined the effect of genetic variation on disease progression (Figure 6; for sensitivity analysis see Supplementary Figure S6). In meta-analysis of three studies with a total of 1588 patients, it was observed that rs7975232 AA carriers had significantly worse survival than CC carriers (HR=1.29, 95% CI=1.02–1.56). Additionally, a suggestive association was observed for vitamin D binding protein variant rs2282679 (HR=1.22, 95% CI=0.99–1.46) in meta-analysis of two studies.

Testing for publication bias and study heterogeneity

There was some evidence of heterogeneity between studies in meta-analysis of 25OHD and some evidence of publication bias (Supplementary Figures S7 and S8). A non-insignificant degree of heterogeneity and evidence of publication bias were observed in some subgroup analysis. Heterogeneity was observed for subgroup analysis of rs1544410, rs7975232, rs2228570 and rs731236, as well as for some individual cancer types while publication bias was observed for rs1544410, rs2228570 and rs731236 (Supplementary Figures S7 and S8).

Studies not included in meta-analysis

Seventeen papers were excluded from the meta-analysis, but their findings were nonetheless considered (Table 2). Eight studies report improved overall and/or progression-free survival among those with higher 25OHD concentration and one study found no association between 25OHD and incidence of metastases. Seven studies investigated genetic variants and outcome (median sample size: 66). One study reported that the rs731236/rs2228570 (TaqI-FokI, TTFf/TtFf) haplotype was significantly associated with reduced overall survival (HR=1.81, 95% CI=1.23–3.48, P=0.04): suggestive associations were reported between progression-free survival and rs731236 (AA) genotype in prostate cancer and rs2228570 TT genotype in breast cancer, while there was no association found between rs2228570 and paediatric ALL. No association was observed between rs1544410 and breast cancer outcome. There was a suggestive association between platelet VDR expression and survival in ovarian cancer. Finally, low vitamin D binding protein (DBP) levels were found to be predictive of lung cancer death.

Discussion

This is the first systematic review with meta-analysis that examines the relationship between cancer outcomes and variation in vitamin D pathway genes, and also by far the largest review on vitamin D status and cancer outcome. Our review suggests that higher circulating vitamin D in cancer patients is associated with a 26% lower rate of death and a 16% lower rate of disease progression. The clear association with survival was also observed in site-specific analyses of breast, haematological and colorectal cancers, while an association with reduction in disease progression was also found in those diagnosed with breast, haematological and skin cancer.

Establishing a causal relationship between vitamin D status and cancer progression is challenging because risk factors associated with cancer outcome are often also associated with vitamin D deficiency. For example, the association between 25OHD and improved survival observed in the original studies might be due to 25OHD being a marker of healthier lifestyle (i.e., healthier diet containing more fish; physical activity and spending time outdoors). However, evidence that genetic factors linked to vitamin D metabolism and pathways impact upon cancer survival may be used to counter such concerns and support a causal link. In our meta-analysis, we found evidence of an association between the VDR gene variants with functionally characterised effects and cancer outcome. Forty percent higher rate of death was observed in TT carriers at rs1544410 locus and 26% higher rate in TT carriers at rs2228570, while 29% increased risk of disease progression was observed in AA carriers at rs7975232 and 22% in GG carriers at GC locus.

Evidence from biological studies support a role for these polymorphisms in modulating vitamin D biology. For example, rs2228570 has been shown to affect the translational start site of 1,25(OH)2D and hence its downstream effects, while rs1544410 and rs7975232 have been associated with changes in VDR messenger RNA expression. We hypothesise that interactions between mutations in the vitamin D pathway and vitamin D status exist, and that this interaction could have a critical role in cancer prognosis. Indeed, Han et al have shown an interaction between vitamin D intake and rs1544410 polymorphism on cancer risk, and we and others have previously shown a modification of the relationship between vitamin D intake or status and cancer outcome by other VDR variants, thus suggesting an interaction of genetic and environmental factors. In conjunction with the strong associations observed for vitamin D status, evidence from genetic studies further supports an important role of vitamin D in cancer progression.

Few studies to date have analysed the associations between VDR or vitamin D pathway genetic variants and cancer outcomes, and no meta-analyses have been published to date. A review by Kostner et al concluded that associations between VDR polymorphisms and cancer prognosis are strongest for prostate cancer (rs2228570), breast cancer (rs1544410, rs731236) malignant melanoma (rs1544410), and renal cell carcinoma (rs731236) but did not perform meta-analysis on these data.

Interestingly, Afzal et al have employed principles of Mendelian randomization in a study comprising 95 766 participants and found that variation in genes involved in vitamin D and 25OHD synthesis (DHCR7 and CYP2R1) were associated with both all-cause and cancer mortality, supporting a causal role of vitamin D. To date, there are no published findings from randomised controlled trials (RCT) assessing the effect of vitamin D supplementation. Meanwhile, the data on cancer mortality from RCTs conducted in the general population can offer some insight; most notably, a Cochrane review of randomised studies comparing vitamin D supplements to placebo identified a significant reduction in cancer mortality in those taking vitamin D supplements (HR=0.88, 95% CI=0.78–0.98; ).

A major issue that is typically taken poor notice of in vitamin D meta-analyses—namely, a very large variability in vitamin D category definition amongst studies, is for the first time being highlighted and transparently shown in our review. Vitamin D categories differed in level as well as range—as a result, large heterogeneity in exposure definition occurred and study point-estimates are difficult to compare: it is, for example, unsurprising that the reported effect per 20 ng ml−1 is greater than effect per 5 ng ml−1 increase. Therefore, there is a need for a consensus in category definition and reporting of effect sizes: future original studies should report effect sizes using internationally agreed cutoffs, such as those given by the Institute of Medicine, solely or in addition to study-specific cutoff values chosen. Generally, variability in exposure categories results in a more heterogeneous estimates and is likely to increase statistical uncertainty and hence bias results towards the null. Nonetheless, our summary findings remain largely unchanged when the analysis was limited according to the difference in 25OHD between the compared groups.

There are some additional limitations of the present work. First, a number of relevant studies were published after the time limits stipulated in our search strategy and so are not included in our meta-analysis. Some such papers support the conclusions presented here, while others reported no association between circulating vitamin D and cancer outcome.

Second, various assays were used for 25OHD measurement in the different studies, while 25OHD was also sampled at variable timepoints, including pre-diagnosis, before treatment and after treatment, which may impact the results. Also, in disease progression studies, different outcome definitions were used for example, disease-free survival, local or distant recurrence.

In the present study, results for all cancers combined are given, in addition to site-specific findings, we yet fully acknowledge that cancer is a heterogeneous disease. However, numerous studies have shown involvement of vitamin D on key hallmarks of cancer, many of which are common to all cancers; preclinical studies demonstrate effects on cell cycle arrest, cell adhesion, differentiation, proliferation, tumour angiogenesis, and apoptosis in human cancer cell lines, while reduction in cancer proliferation has been shown in carcinogen-exposed rats and cancer phenotypes are more commonly observed in vitamin D receptor (VDR) knockout mice. Nevertheless, the heterogeneity in pooled results between different cancer types and the small number of studies for certain cancers limits the strength of the current study in demonstrating an association between circulating 25-hydroxyvitamin D and total cancer survival.

Next, in reporting the impact of genetic variation on outcome, we acknowledge that ethnic differences in VDR variation exist, which might interfere with the findings from genetic studies, as ethnicity is directly linked to the skin type and vitamin D synthesis. Meanwhile, VDR variants may interact with circulating 25OHD to impact outcome, yet only a small number of studies examined these putative gene–environment interactions. Finally, we observed some evidence of heterogeneity and publication bias overall; however, findings from sensitivity analysis were highly consistent and supportive of main findings.

Despite these limitations, the present work includes a novel meta-analysis, investigating the association between vitamin D-related genetic variation and cancer outcome, in addition to a ∼50% larger meta-analysis of circulating 25OHD and cancer outcome compared to a previous review. Moreover, stringent quality assessment of original studies and corresponding sensitivity analysis were conducted and strikingly inconsistent 25OHD category definitions were addressed in stratified analysis.

In conclusion, the consistent evidence across the studies presented in the current review demonstrates a clear and strong association between low baseline vitamin D levels and poorer cancer survival. The associations between vitamin D-related genetic variants and cancer survival support an interpretation that vitamin D may play an important role in influencing cancer outcome. However, a causal link cannot be conclusively established from observational studies; hence, well-designed and adequately powered RCTs are needed to evaluate the clinical application of vitamin D in augmenting standard follow-up and adjuvant chemotherapy regimens. Understanding the mechanism of action of genetic factors promises to provide further insight into biological determinants of response to treatment and could help inform prognosis.

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    Not in our library10.1186/1479-5876-11-206

  16. 16.

    Clark AS, Chen J, Kapoor S, Friedman C, Mies C, Esserman L, DeMichele A, Investigators IS (2014 ) Pretreatment vitamin D level and response to neoadjuvant chemotherapy in women with breast cancer on the I-SPY trial (CALGB 150007/150015/ACRIN6657). Cancer Med 3: 693–701.

    Not in our library10.1002/cam4.235

  17. 17.

    Cochrane (2011 ) Cochrane Handbook for Systematic Reviews of Interventions. Version 5.1.0Higgins JPT GS (ed) The Cochrane Collaboration.

    Not in our library

  18. 18.

    Crew KD, Shane E, Cremers S, McMahon DJ, Irani D, Hershman DL (2009 ) High prevalence of vitamin D deficiency despite supplementation in premenopausal women with breast cancer undergoing adjuvant chemotherapy. J Clin Oncol 27(13): 2151–2156.

    Not in our library10.1200/jco.2008.19.6162

  19. 19.

    CRUK (2015 ) Worldwide Cancer Mortality Statistics, Vol. 2015 Available at: http://www.cancerresearchuk.org/health-professional/cancer-statistics/worldwide-cancer/mortality.

    Not in our library

  20. 20.

    Davies JR, Field S, Randerson-Moor J, Harland M, Kumar R, Anic GM, Nagore E, Hansson J, Hoeiom V, Joensson G, Gruis NA, Park JY, Guan J, Rachakonda PS, Wendt J, Pjanova D, Puig S, Schadendorf D, Okamoto I, Olsson H, Affleck P, Garcia-Casado Z, Anton Puig-Butille J, Stratigos AJ, Kodela E, Donina S, Sucker A, Hosen I, Egan KM, Barrett JH, van Doorn R, Bishop DT, Newton-Bishop J (2014 ) An inherited variant in the gene coding for vitamin D-binding protein and survival from cutaneous melanoma: a BioGenoMEL study. Pigment Cell Melanoma Res 27(2): 234–243.

    Not in our library10.1111/pcmr.12193

  21. 21.
  22. 22.

    Deeb KK, Trump DL, Johnson CS (2007 ) Vitamin D signalling pathways in cancer: potential for anticancer therapeutics. Nat Rev Cancer 7(9): 684–700.

    Not in our library10.1038/nrc2196

  23. 23.

    Der T, Bailey BA, Youssef D, Manning T, Grant WB, Peiris AN (2014 ) Vitamin D and prostate cancer survival in veterans. Mil Med 179(1): 81–84.

    Not in our library10.7205/milmed-d-12-00540

  24. 24.

    Dickinson AM, Pearce KF, Norden J, O'Brien SG, Holler E, Bickeböller H, Balavarca Y, Rocha V, Kolb HJ, Hromadnikova I, Sedlacek P, Niederwieser D, Brand R, Ruutu T, Apperley J, Szydlo R, Goulmy E, Siegert W, de Witte T, Gratwohl A (2010 ) Impact of genomic risk factors on outcome after hematopoietic stem cell transplantation for patients with chronic myeloid leukemia. Haematologica 95(6): 922–927.

    Not in our library10.3324/haematol.2009.016220

  25. 25.

    Ditsch N, Toth B, Mayr D, Lenhard M, Gallwas J, Weissenbacher T, Dannecker C, Friese K, Jeschke U (2012 ) The association between vitamin D receptor expression and prolonged overall survival in breast cancer. J Histochem Cytochem 60(2): 121–129.

    Not in our library10.1369/0022155411429155

  26. 26.

    Drake MT, Maurer MJ, Link BK, Habermann TM, Ansell SM, Micallef IN, Kelly JL, Macon WR, Nowakowski GS, Inwards DJ, Johnston PB, Singh RJ, Allmer C, Slager SL, Weiner GJ, Witzig TE, Cerhan JR (2010 ) Vitamin D insufficiency and prognosis in non-Hodgkin's lymphoma. J Clin Oncol 28(27): 4191–4198.

    Not in our library10.1200/jco.2010.28.6674

  27. 27.

    EMBASE (2015 ) EMBASE, Vol. 2015. Available at: https://www.embase.com.

    Not in our library

  28. 28.

    Fakih MG, Trump DL, Johnson CS, Tian L, Muindi J, Sunga AY (2009 ) Chemotherapy is linked to severe vitamin D deficiency in patients with colorectal cancer. Int J Colorectal Dis 24(2): 219–224.

    Not in our library10.1007/s00384-008-0593-y

  29. 29.

    Fang F, Kasperzyk JL, Shui I, Hendrickson W, Hollis BW, Fall K, Ma J, Gaziano JM, Stampfer MJ, Mucci LA, Giovannucci E (2011 ) Prediagnostic plasma vitamin D metabolites and mortality among patients with prostate cancer. PLoS One 6(4): e18625.

    Not in our library10.1371/journal.pone.0018625

  30. 30.

    Fang S, Sui D, Wang Y, Liu H, Chiang YJ, Ross MI, Gershenwald JE, Cormier JN, Royal RE, Lucci A, Wargo J, Hu MI, Gardner JM, Reveille JD, Bassett RL, Wei Q, Amos CI, Lee JE (2016 ) Association of vitamin D levels with outcome in patients with melanoma after adjustment for C-reactive protein. J Clin Oncol 34(15): 1741–1747.

    Not in our library10.1200/jco.2015.64.1357

  31. 31.

    Fanidi A, Muller DC, Midttun O, Ueland PM, Vollset SE, Relton C, Vineis P, Weiderpass E, Skeie G, Brustad M, Palli D, Tumino R, Grioni S, Sacerdote C, Bueno-de-Mesquita HB, Peeters PH, Boutron-Ruault MC, Kvaskoff M, Cadeau C, Huerta JM, Sanchez MJ, Agudo A, Lasheras C, Quiros JR, Chamosa S, Riboli E, Travis RC, Ward H, Murphy N, Khaw KT, Trichopoulou A, Lagiou P, Papatesta EM, Boeing H, Kuehn T, Katzke V, Steffen A, Johansson A, Brennan P, Johansson M (2016 ) Circulating vitamin D in relation to cancer incidence and survival of the head and neck and oesophagus in the EPIC cohort. Sci Rep 6: 36017.

    Not in our library10.1038/srep36017

  32. 32.

    Fedirko V, Riboli E, Tjonneland A, Ferrari P, Olsen A, Bueno-de-Mesquita HB, van Duijnhoven FJB, Norat T, EHJM Jansen, Dahm CC, Overvad K, Boutron-Ruault M-C, Clavel-Chapelon F, Racine A, Lukanova A, Teucher B, Boeing H, Aleksandrova K, Trichopoulou A, Benetou V, Trichopoulos D, Grioni S, Vineis P, Panico S, Palli D, Tumino R, Siersema PD, Peeters PH, Skeie G, Brustad M, Chirlaque M-D, Barricarte A, Ramon Quiros J, Jose Sanchez M, Dorronsoro M, Bonet C, Palmqvist R, Hallmans G, Key TJ, Crowe F, Khaw K-T, Wareham N, Romieu I, McKay J, Wark PA, Romaguera D, Jenab M (2012 ) Prediagnostic 25-hydroxyvitamin D, VDR and CASR polymorphisms, and survival in patients with colorectal cancer in western European populations. Cancer Epidemiol Biomarkers Prev 21(4): 582–593.

    Not in our library10.1158/1055-9965.epi-11-1065

  33. 33.

    Field S, Elliott F, Randerson-Moor J, Kukalizch K, Barrett JH, Bishop DT, Newton-Bishop JA (2013 ) Do vitamin A serum levels moderate outcome or the protective effect of vitamin D on outcome from malignant melanoma? Clin Nutr 32(6): 1012–1016.

    Not in our library10.1016/j.clnu.2013.04.006

  34. 34.

    Finkelmeier F, Kronenberger B, Koeberle V, Bojunga J, Zeuzem S, Trojan J, Piiper A, Waidmann O (2014 ) Severe 25-hydroxyvitamin D deficiency identifies a poor prognosis in patients with hepatocellular carcinoma - a prospective cohort study. Aliment Pharmacol Ther 39(10): 1204–1212.

    Not in our library10.1111/apt.12731

  35. 35.

    Flugge J, Krusekopf S, Goldammer M, Osswald E, Terhalle W, Malzahn U, Roots I (2007 ) Vitamin D receptor haplotypes protect against development of colorectal cancer. Eur J Clin Pharmacol 63(11): 997–1005.

    Not in our library10.1007/s00228-007-0367-4

  36. 36.

    Furuya Y, Akakura K, Masai M, Ito H (1999 ) Vitamin D receptor gene polymorphism in Japanese patients with prostate cancer. Endocr J 46(3): 467–470.

    Not in our library10.1507/endocrj.46.467

  37. 37.

    Goode EL, Dunning AM, Kuschel B, Healey CS, Day NE, Ponder BAJ, Easton DF, Pharoah PPD (2002 ) Effect of germ-line genetic variation on breast cancer survival in a population-based study. Cancer Res 62(11): 3052–3057.

    Not in our library

  38. 38.

    Goodwin PJ, Ennis M, Pritchard KI, Koo J, Hood N (2009 ) Prognostic effects of 25-hydroxyvitamin D levels in early breast cancer. J Clin Oncol 27(23): 3757–3763.

    Not in our library10.1200/jco.2008.20.0725

  39. 39.

    Gugatschka M, Kiesler K, Obermayer-Pietsch B, Groselj-Strele A, Griesbacher A, Friedrich G (2011 ) Vitamin D status is associated with disease-free survival and overall survival time in patients with squamous cell carcinoma of the upper aerodigestive tract. Eur Arch Otorhinolaryngol 268(8): 1201–1204.

    Not in our library10.1007/s00405-010-1481-y

  40. 40.

    Gupta D, Trukova K, Popiel B, Lammersfeld C, Vashi PG (2015 ) The association between pre-treatment serum 25-hydroxyvitamin D and survival in newly diagnosed stage IV prostate cancer. PLoS One 10(3): e0119690.

    Not in our library10.1371/journal.pone.0119690

  41. 41.

    Halsall JA, Osborne JE, Potter L, Pringle JH, Hutchinson PE (2004 ) A novel polymorphism in the 1A promoter region of the vitamin D receptor is associated with altered susceptibilty and prognosis in malignant melanoma. Br J Cancer 91(4): 765–770.

    Not in our library10.1038/sj.bjc.6602006

  42. 42.

    Hama T, Norizoe C, Suga H, Mimura T, Kato T, Moriyama H, Urashima M (2011 ) Prognostic significance of vitamin D receptor polymorphisms in head and neck squamous cell carcinoma. PLoS One 6(12): e29634.

    Not in our library10.1371/journal.pone.0029634

  43. 43.

    Han J, Colditz GA, Hunter DJ (2007 ) Polymorphisms in the MTHFR and VDR genes and skin cancer risk. Carcinogenesis 28(2): 390–397.

    Not in our library10.1093/carcin/bgl156

  44. 44.

    Hansson MEA, Norlin A-C, Omazic B, Wikstrom A-C, Bergman P, Winiarski J, Remberger M, Sundin M (2014 ) Vitamin D levels affect outcome in pediatric hematopoietic stem cell transplantation. Biol Blood Marrow Transplant 20(10): 1537–1543.

    Not in our library10.1016/j.bbmt.2014.05.030

  45. 45.

    Hatse S, Lambrechts D, Verstuyf A, Smeets A, Brouwers B, Vandorpe T, Brouckaert O, Peuteman G, Laenen A, Verlinden L, Kriebitzsch C, Dieudonne AS, Paridaens R, Neven P, Christiaens MR, Bouillon R, Wildiers H (2012 ) Vitamin D status at breast cancer diagnosis: correlation with tumor characteristics, disease outcome, and genetic determinants of vitamin D insufficiency. Carcinogenesis 33(7): 1319–1326.

    Not in our library10.1093/carcin/bgs187

  46. 46.

    Heist RS, Zhou W, Wang Z, Liu G, Neuberg D, Su L, Asomaning K, Hollis BW, Lynch TJ, Wain JC, Giovannucci E, Christiani DC (2008 ) Circulating 25-hydroxyvitamin D, VDR polymorphisms, and survival in advanced non-small-cell lung cancer. J Clin Oncol 26(34): 5596–5602.

    Not in our library10.1200/jco.2008.18.0406

  47. 47.

    Hendrickson WK, Flavin R, Kasperzyk JL, Fiorentino M, Fang F, Lis R, Fiore C, Penney KL, Ma J, Kantoff PW, Stampfer MJ, Loda M, Mucci LA, Giovannucci E (2011 ) Vitamin D receptor protein expression in tumor tissue and prostate cancer progression. J Clin Oncol 29(17): 2378–2385.

    Not in our library10.1200/jco.2010.30.9880

  48. 48.

    Higgins JP, Thompson SG, Deeks JJ, Altman DG (2003 ) Measuring inconsistency in meta-analyses. Bmj 327(7414): 557–560.

    Not in our library10.1136/bmj.327.7414.557

  49. 49.

    Holick MF (2007 ) Vitamin D deficiency. N Engl J Med 357(3): 266–281.

    Not in our library10.1056/nejmra070553

  50. 50.

    Holt SK, Kolb S, Fu R, Horst R, Feng Z, Stanford JL (2013 ) Circulating levels of 25-hydroxyvitamin D and prostate cancer prognosis. Cancer Epidemiol 37(5): 666–670.

    Not in our library10.1016/j.canep.2013.07.005

  51. 51.

    Holt SK, Kwon EM, Koopmeiners JS, Lin DW, Feng Z, Ostrander EA, Peters U, Stanford JL (2010 ) Vitamin D pathway gene variants and prostate cancer prognosis. Prostate 70(13): 1448–1460.

    Not in our library10.1002/pros.21180

  52. 52.

    Hsu JW, Yasmin-Karim S, King MR, Wojciechowski JC, Mickelsen D, Blair ML, Ting HJ, Ma WL, Lee YF (2011 ) Suppression of prostate cancer cell rolling and adhesion to endothelium by 1alpha,25-dihydroxyvitamin D3. Am J Pathol 178(2): 872–880.

    Not in our library10.1016/j.ajpath.2010.10.036

  53. 53.

    Ingles SA, Wang J, Coetzee GA, Lee ER, Frankl HD, Haile RW (2001 ) Vitamin D receptor polymorphisms and risk of colorectal adenomas (United States). Cancer Causes Control 12(7): 607–614.

    Not in our library10.1023/a:1011292002475

  54. 54.

    Jacobs ET, Thomson CA, Flatt SW, Al-Delaimy WK, Hibler EA, Jones LA, LeRoy EC, Newman VA, Parker BA, Rock CL, Pierce JP (2011 ) Vitamin D and breast cancer recurrence in the Women's Healthy Eating and Living (WHEL) study. Am J Clin Nutr 93(1): 108–117.

    Not in our library10.3945/ajcn.2010.30009

  55. 55.

    JISC (2015 ) Web of Science Available at: http://www.webofknowledge.com.

    Not in our library

  56. 56.

    Kelly D, Theodoratou E, Farrington S, Fraser R, Campbell H, Dunlop MG, Zgaga L (2015 ) The Contributions of adjusted ambient UVB at the place of residence and other determinants to serum 25-hydroxyvitamin d concentrations. Br J Dermatol 174(5): 1068–1078.

    Not in our library10.1111/bjd.14296

  57. 57.

    Kelly JL, Salles G, Goldman B, Fisher RI, Brice P, Press O, Casasnovas O, Maloney DG, Soubeyran P, Rimsza L, Haioun C, Xerri L, LeBlanc M, Tilly H, Friedberg JW (2015 ) Low serum vitamin D levels are associated with inferior survival in follicular lymphoma: aprospective evaluation in SWOG and LYSA studies. J Clin Oncol 33(13): 1482–1490.

    Not in our library10.1200/jco.2014.57.5092

  58. 58.

    Kim H, Kang HJ, Kim HJ, Jang MK, Kim NH, Oh Y, Han B-D, Choi J-Y, Kim CW, Lee JW, Park KD, Shin HY, Ahn HS (2012 ) Pharmacogenetic analysis of pediatric patients with acute lymphoblastic leukemia: a possible association between survival rate and ITPA polymorphism. PLoS One 7(9): e45558.

    Not in our library10.1371/journal.pone.0045558

  59. 59.

    Kim HJ, Lee YM, Ko BS, Lee JW, Yu JH, Son BH, Gong G-Y, Kim SB, Ahn SH (2011 ) Vitamin D deficiency is correlated with poor outcomes in patients with luminal-type breast cancer. Ann Surg Oncol 18(7): 1830–1836.

    Not in our library10.1245/s10434-010-1465-6

  60. 60.

    Kizildag S, Ates H, Kizildag S (2010 ) Treatment of K562 cells with 1,25-dihydroxyvitamin D3 induces distinct alterations in the expression of apoptosis-related genes BCL2, BAX, BCLXL, and p21. Ann Hematol 89(1): 1–7.

    Not in our library10.1007/s00277-009-0766-y

  61. 61.

    Kostner K, Denzer N, Muller CS, Klein R, Tilgen W, Reichrath J (2009 ) The relevance of vitamin D receptor (VDR) gene polymorphisms for cancer: a review of the literature. Anticancer Res 29(9): 3511–3536.

    Not in our library

  62. 62.

    Krishnan AV, Peehl DM, Feldman D (2003 ) Inhibition of prostate cancer growth by vitamin D: Regulation of target gene expression. J Cell Biochem 88(2): 363–371.

    Not in our library10.1002/jcb.10334

  63. 63.

    Lee HJ, Muindi JR, Tan W, Hu Q, Wang D, Liu S, Wilding GE, Ford LA, Sait SNJ, Block AW, Adjei AA, Barcos M, Griffiths EA, Thompson JE, Wang ES, Johnson CS, Trump DL, Wetzler M (2014 ) Low 25(OH) vitamin D-3 levels are associated with adverse outcome in newly diagnosed, intensively treated adult acute myeloid leukemia. Cancer 120(4): 521–529.

    Not in our library10.1002/cncr.28368

  64. 64.
  65. 65.

    Li M, Chen P, Li J, Chu R, Xie D, Wang H (2014 ) Review: the impacts of circulating 25-hydroxyvitamin D levels on cancer patient outcomes: a systematic review and meta-analysis. J Clin Endocrinol Metab 99(7): 2327–2336.

    Not in our library10.1210/jc.2013-4320

  66. 66.

    Lim ST, Jeon YW, Suh YJ (2015 ) Association between alterations in the serum 25-hydroxyvitamin d status during follow-up and breast cancer patient prognosis. Asian Pac J Cancer Prev 16(6): 2507–2513.

    Not in our library10.7314/apjcp.2015.16.6.2507

  67. 67.

    Liu Y, Chen W, Hu Z-b Xu L, Shu Y-q Pan S-y, Dai J-c, Jin G-f, Ma H-x Shen H-b (2011 ) Plasma vitamin D levels and vitamin D receptor polymorphisms are associated with survival of non-small cell lung cancer. Chin J Cancer Res 23(1): 33–37.

    Not in our library10.1007/s11670-011-0033-3

  68. 68.

    Lohmann AE, Chapman J-AW, Burnell MJ, Levine MN, Tsvetkova E, Pritchard KI, Gelmon KA, O'Brien P, Han L, Rugo HS, Albain KS, Perez EA, Vandenberg TA, Chalchal HI, Sawhney RPS, Shepherd LE, Goodwin PJ (2015 ) Prognostic associations of 25 hydroxy vitamin D in NCIC CTG MA.21, a phase III adjuvant randomized clinical trial of three chemotherapy regimens in high-risk breast cancer. Breast Cancer Res Treat 150(3): 605–611.

    Not in our library10.1007/s10549-015-3355-x

  69. 69.

    Lowe LC, Guy M, Mansi JL, Peckitt C, Bliss J, Wilson RG, Colston KW (2005 ) Plasma 25-hydroxy vitamin D concentrations, vitamin D receptor genotype and breast cancer risk in a UK Caucasian population. Eur J Cancer 41(8): 1164–1169.

    Not in our library10.1016/j.ejca.2005.01.017

  70. 70.

    Lundin AC, Soderkvist P, Eriksson B, Bergman-Jungestrom M, Wingren S Grp SESBC (1999 ) Association of breast cancer progression with a vitamin D receptor gene polymorphism. Cancer Res 59(10): 2332–2334.

    Not in our library

  71. 71.

    McGovern EM, Lewis ME, Niesley ML, Huynh N, Hoag JB (2016 ) Retrospective analysis of the influence of 25-hydroxyvitamin D on disease progression and survival in pancreatic cancer. Nutr J 15: 17.

    Not in our library10.1186/s12937-016-0135-3

  72. 72.

    Meyer F, Liu G, Douville P, Samson E, Xu W, Adjei A, Bairati I (2011 ) Dietary vitamin D intake and serum 25-hydroxyvitamin D level in relation to disease outcomes in head and neck cancer patients. Int J Cancer 128(7): 1741–1746.

    Not in our library10.1002/ijc.25496

  73. 73.

    Mezawa H, Sugiura T, Watanabe M, Norizoe C, Takahashi D, Shimojima A, Tamez S, Tsutsumi Y, Yanaga K, Urashima M (2010 ) Serum vitamin D levels and survival of patients with colorectal cancer: post-hoc analysis of a prospective cohort study. BMC Cancer 10: 347.

    Not in our library10.1186/1471-2407-10-347

  74. 74.

    Mishra DK, Wu Y, Sarkissyan M, Sarkissyan S, Chen Z, Shang X, Ong M, Heber D, Koeffler HP, Vadgama JV (2013 ) Vitamin D receptor gene polymorphisms and prognosis of breast cancer among African-American and Hispanic women. PLoSOne 8(3): e57967.

    Not in our library10.1371/journal.pone.0057967

  75. 75.
  76. 76.

    Mokady E, Schwartz B, Shany S, Lamprecht SA (2000 ) A protective role of dietary vitamin D3 in rat colon carcinogenesis. Nutr Cancer 38(1): 65–73.

    Not in our library10.1207/s15327914nc381_10

  77. 77.

    Mondul AM, Weinstein SJ, Moy KA, Mannisto S, Albanes D (2016 ) Circulating 25-hydroxyvitamin D and prostate cancer survival. Cancer Epidemiol Biomarkers Prev 25(4): 665–669.

    Not in our library10.1158/1055-9965.epi-15-0991

  78. 78.

    Muller DC, Scelo G, Zaridze D, Janout V, Holcatova I, Navratilova M, Mates D, Midttun O, Ueland PM, Brennan P, Johansson M (2015 ) Circulating 25-hydroxyvitamin D-3 and survival after diagnosis with kidney cancer. Cancer Epidemiol Biomarkers Prev 24(8): 1277–1281.

    Not in our library10.1158/1055-9965.epi-14-1351

  79. 79.

    NCBI (2015 ) PUBMED, Information NNCfB (ed). National Center for Biotechnology Information, vol 2015. Available at: PUBMED. https://www.ncbi.nlm.nih.gov/pubmed.

    Not in our library

  80. 80.

    Newton-Bishop JA, Beswick S, Randerson-Moor J, Chang YM, Affleck P, Elliott F, Chan M, Leake S, Karpavicius B, Haynes S, Kukalizch K, Whitaker L, Jackson S, Gerry E, Nolan C, Bertram C, Marsden J, Elder DE, Barrett JH, Bishop DT (2009 ) Serum 25-hydroxyvitamin D3 levels are associated with breslow thickness at presentation and survival from melanoma. J Clin Oncol 27(32): 5439–5444.

    Not in our library10.1200/jco.2009.22.1135

  81. 81.

    Newton-Bishop JA, Davies JR, Latheef F, Randerson-Moor J, Chan M, Gascoyne J, Waseem S, Haynes S, O'Donovan C, Bishop DT (2015 ) 25-Hydroxyvitamin D2 /D3 levels and factors associated with systemic inflammation and melanoma survival in the Leeds Melanoma Cohort. Int J Cancer 136(12): 2890–2899.

    Not in our library10.1002/ijc.29334

  82. 82.

    Ng K, Meyerhardt JA, Wu K, Feskanich D, Hollis BW, Giovannucci EL, Fuchs CS (2008 ) Circulating 25-hydroxyvitamin D levels and survival in patients with colorectal cancer. J Clin Oncol 26(18): 2984–2991.

    Not in our library10.1200/jco.2007.15.1027

  83. 83.

    Ng K, Sargent DJ, Goldberg RM, Meyerhardt JA, Green EM, Pitot HC, Hollis BW, Pollak MN, Fuchs CS (2011 ) Vitamin D status in patients with stage IV colorectal cancer: findings from intergroup trial N9741. J Clin Oncol 29(12): 1599–1606.

    Not in our library10.1200/jco.2010.31.7255

  84. 84.

    Nurnberg B, Graber S, Gartner B, Geisel J, Pfohler C, Schadendorf D, Tilgen W, Reichrath J (2009 ) Reduced serum 25-hydroxyvitamin D levels in stage IV melanoma patients. Anticancer Res 29(9): 3669–3674.

    Not in our library

  85. 85.

    Obara W, Suzuki Y, Kato K, Tanji S, Konda R, Fujioka T (2007 ) Vitamin D receptor gene polymorphisms are associated with increased risk and progression of renal cell carcinoma in a Japanese population. Int J Urol 14(6): 483–487.

    Not in our library10.1111/j.1442-2042.2007.01771.x

  86. 86.

    Obermannova R, Dusek L, Greplova K, Jarkovsky J, Sterba J, Vyzula R, Demlova R, Zdrazilova-Dubska L, Valik D (2015 ) Time-course pattern of blood 25-hydroxycholecalciferol is a significant predictor of survival outcome in metastatic colorectal cancer: a clinical practice-based study. Neoplasma 62(6): 958–965.

    Not in our library10.4149/neo_2015_116

  87. 87.

    Orlow I, Reiner AS, Thomas NE, Roy P, Kanetsky PA, Luo L, Paine S, Armstrong BK, Kricker A, Marrett LD, Rosso S, Zanetti R, Gruber SB, Anton-Culver H, Gallagher RP, Dwyer T, Busam K, Begg CB, Berwick M Group GEMS (2016 ) Vitamin D receptor polymorphisms and survival in patients with cutaneous melanoma: a population-based study. Carcinogenesis 37(1): 30–38.

    Not in our library10.1093/carcin/bgv157

  88. 88.

    Pande M, Thompson PA, Do K-A, Sahin AA, Amos CI, Frazier ML, Bondy ML, Brewster AM (2013 ) Genetic variants in the vitamin D pathway and breast cancer disease-free survival. Carcinogenesis 34(3): 587–594.

    Not in our library10.1093/carcin/bgs369

  89. 89.

    Pao J-B, Yang Y-P, Huang C-N, Huang S-P, Hour T-C, Chang T-Y, Lan Y-H, Lu T-L, Lee H-Z, Juang S-H, Huang C-Y, Bao B-Y (2013 ) Vitamin D receptor gene variants and clinical outcomes after androgen-deprivation therapy for prostate cancer. World JUrol 31(2): 281–287.

    Not in our library10.1007/s00345-011-0813-x

  90. 90.

    Pardanani A, Drake MT, Finke C, Lasho TL, Rozell SA, Jimma T, Tefferi A (2011 ) Vitamin D insufficiency in myeloproliferative neoplasms and myelodysplastic syndromes: clinical correlates and prognostic studies. Am J Hematol 86(12): 1013–1016.

    Not in our library10.1002/ajh.22181

  91. 91.

    Peiris AN, Bailey BA, Manning T (2013 ) Relationship of vitamin D monitoring and status to bladder cancer survival in veterans. South Med J 106(2): 126–130.

    Not in our library10.1097/smj.0b013e3182824d00

  92. 92.

    Penney KL, Pyne S, Schumacher FR, Sinnott JA, Mucci LA, Kraft PL, Ma J, Oh WK, Kurth T, Kantoff PW, Giovannucci EL, Stampfer MJ, Hunter DJ, Freedman ML (2010 ) Genome-wide association study of prostate cancer mortality. Cancer Epidemiol Biomarkers Prev 19(11): 2869–2876.

    Not in our library10.1158/1055-9965.epi-10-0601

  93. 93.

    Perna L, Butterbach K, Haug U, Schoettker B, Mueller H, Arndt V, Holleczek B, Burwinkel B, Brenner H (2013 a) Vitamin D receptor genotype rs731236 (Taq1) and breast cancer prognosis. Cancer Epidemiol Biomarkers Prev 22(3): 437–442.

    Not in our library10.1158/1055-9965.epi-12-0970-t

  94. 94.

    Perna L, Hoffmeister M, Schoettker B, Arndt V, Haug U, Holleczek B, Burwinkel B, Ordonez-Mena JM, Brenner H (2013 b) Vitamin D receptor polymorphism and colorectal cancer-specific and all-cause mortality. Cancer Epidemiol 37(6): 905–907.

    Not in our library10.1016/j.canep.2013.09.007

  95. 95.

    R Core Team (2013 ) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/.

    Not in our library

  96. 96.

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