Literature DB >> 31496824

Serum 25-hydroxyvitamin D levels predict cancer survival: a prospective cohort with measurements prior to and at the time of cancer diagnosis.

Trude Eid Robsahm1, Steinar Tretli1, Peter Abusdal Torjesen2, Ronnie Babigumira1, Gary G Schwartz3.   

Abstract

PURPOSE: Circulating 25-hydroxyvitamin D (25-OHD) levels have been inversely associated with cancer death, but the nature of this relationship is unclear. We investigated this association using repeated measurements of serum 25-OHD. PATIENTS AND METHODS: Pre-diagnostic serum samples were collected in population health surveys in Norway (1973-2004). Participants who subsequently developed cancer (1984-2004) provided a second serum sample at the time of cancer diagnosis. Samples were stored in the Janus Serum Bank. Repeated samples existed from 202 breast cancers, 193 lung cancers, 124 lymphomas, and 37 colon cancers. Serum 25-OHD was measured via competitive radioimmunoassay. Cox regression models assessed associations between 25-OHD and cancer-specific death (case fatality) through 2012, given as hazard ratios (HRs) with 95% confidence intervals (CIs).
RESULTS: The median time between pre-diagnostic and diagnostic samples was 14.4 years. The median 25-OHD levels were 63.3 and 62.5 nmol/L, respectively. During follow-up, 313 cancer deaths occurred. Compared to low pre-diagnostic 25-OHD levels (<46 nmol/L), higher levels (≥46 nmol/L) had significantly lower HRs (39-54%) of case fatality. This result was also seen for the diagnostic samples. Donors who had both samples at high (≥62 nmol/L) levels had 59% lower HR of case fatality, compared to those for whom both samples were at low levels (<46 nmol/L). Furthermore, versus a decline in serum 25-OHD (median -22.4 nmol/L) from pre-diagnostic to diagnostic samples, a rise (median 22.3 nmol/L) was associated with lower case fatality (HR 0.57, 95% CI 0.43-0.75).
CONCLUSION: Our findings suggest a causal relationship between vitamin D and cancer case fatality.

Entities:  

Keywords:  cancer case fatality; longitudinally; repeated measurement; serum 25-OHD

Year:  2019        PMID: 31496824      PMCID: PMC6690592          DOI: 10.2147/CLEP.S207230

Source DB:  PubMed          Journal:  Clin Epidemiol        ISSN: 1179-1349            Impact factor:   4.790


Introduction

Over the last 30 years, vitamin D metabolites have received increasing attention for their potential to prevent and/or retard cancer development. Laboratory studies have shown pleitropic anti-cancer effects of the hormonal form of vitamin D, 1,25-dihydroxycholecalciferol (1,25(OH)2D), including control of cell differentiation, proliferation, and metastasis.1 Associations between vitamin D and the natural history of cancer also have been observed in epidemiologic studies, which often preceded the laboratory studies.2 Most seroepidemiological studies have used measurements of the pro-hormonal form of vitamin D, 25-hydroxyvitamin D (25-OHD), the accepted marker of an individual’s vitamin D status.1,3 25-OHD is formed by hydroxylation of vitamin D in the liver after vitamin D is synthesized in the skin from exposure to sunlight (vitamin D3) or is obtained from the diet (vitamins D2 or D3). In addition to the “classical” endocrine synthesis of 1,25(OH)2D in the kidney, many non-renal cells convert 25-OHD intracellularly to 1,25(OH)2D in an autocrine manner (non-classical synthesis).4–8 Recognition of non-classical 1,25(OH)2D synthesis established a mechanism for vitamin D in cancer prevention. Several studies have reported improved survival for cancer patients with higher circulating 25-OHD levels at the time of diagnosis.9,10 However, the nature of that relationship is unclear. At least two explanations are possible: (A) High circulating 25-OHD inhibits the process of the cancer disease via biological mechanisms;1 (B) The processes and/or consequences of cancer cause serum 25-OHD levels to fall (ie, reverse causality). The latter could occur through several mechanisms, including reduced sunlight exposure among cancer patients.11 One way to discriminate between these explanations is by using repeated measurements of 25-OHD obtained at different time points with respect to the time of cancer diagnosis. For example, observing a lower rate of cancer death among cases whose pre-diagnostic and diagnostic levels of 25-OHD were high would favor explanation A, as would a lower rate of cancer death among cases with increasing 25-OHD levels across the two samples. Conversely, a higher rate of cancer death among cases with continuously low 25-OHD levels as well as among cases with a temporal decline in 25-OHD levels across the two samples could be more consistent with explanation B. We previously reported that 25-OHD levels below 50 nmol/L at the time of diagnosis were associated with elevated case fatality in individuals with cancer of the prostate,12 breast, colon, lung, and lymphoma.13 For the cases with cancer of breast, colon, lung, and lymphoma, we were now able to investigate serum levels of 25-OHD longitudinally. We examined the effects of the following conditions on cancer case fatality: low serum 25-OHD years prior to cancer diagnosis, longitudinally low serum 25-OHD, years prior to and at the time of the cancer diagnosis, and changes in serum 25-OHD levels from pre-diagnostic to diagnostic samples.

Materials and methods

The Janus Serum Bank in Norway is a population-based biobank established in 1973 that includes more than 450,000 serum samples from approximately 317,000 adult donors. Ninety-one percent (91%) of the donors were recruited from population-based health surveys for the 35−49 year age group in the period 1973−2004 (attendance rate 88%). The remainder (9%) were recruited among blood donors. A detailed description of the Janus Serum Bank cohort is published elsewhere.14 Donors who subsequently developed cancer and were admitted to the Norwegian Radium Hospital for cancer treatment donated an additional serum sample. All serum samples were stored at −25°C. In a previous study,13 we identified Janus Serum Bank donors with a diagnostic serum sample collected on average 38 days from diagnosis, prior to cancer treatment, who were alive at least 30 days after serum collection. Cases with histologically verified invasive cancer were identified via linkage with the Cancer Registry of Norway. Based on the World Health Organization’s International Classification of Diseases codes for cancer, 10th edition (ICD-10), cases with cancer of breast (C50), colon (C18), lung (C33−34), and lymphoma (C81−86, C96) were selected, giving a study cohort of 658 cancer cases. Data from the study cohort were re-linked to the Janus Serum Bank in order to identify cases with an available serum sample from the initial health surveys. Among these 658 cases, 102 had insufficient serum volume in their health survey sample for 25-OHD assessment, resulting in a study cohort of 556 cases.

National health registries

The Cancer Registry of Norway has recorded cancer diagnoses compulsorily by law since 1953. The completeness of registration is estimated to exceed 98%.15 Since 1951, all deaths of Norwegian citizens have been recorded by the national Cause of Death Registry. Linkages between these registries and the Janus Serum Bank are possible by the unique 11-digit personal identification number assigned to all Norwegian citizens. The study file provided information about the cancer diagnoses, age, sex, vital status, date, and cause of death, and date of migration, throughout 2012.

25-OHD assessment and categorization

For analysis of 25-OHD, 75 μL of serum was drawn from each sample. The analysis was performed via a competitive radioimmunoassay (DiaSorin, Stillwater, MN) at the National Hormone Laboratory (at Oslo University Hospital), according to standard procedure for the laboratory. All serum samples were analyzed in August 2015. For reproducibility, serum 25-OHD levels, both the pre-diagnostic and diagnostic samples, were categorized according to quartile limits (nmol/L) used in our previous study (<46, 46−61, 62−81, ≥82).13 In analyses by cancer site, we used cancer-specific category limits of 25-OHDas previously used (breast (≤50, 51−67, 68−86, >86), colon (≤44, 45−56, 57−77, >77), lung (≤41, 42−56, 57−76, >76), lymphoma (≤44, 45−60, 61−77, >77)).13 To account for variability in 25-OHD levels due to seasonal variation in ultraviolet radiation in Norway,16 date of blood sampling was categorized as Winter (December–February), Spring (March–May), Summer (June–August), and Fall (September–November). Moreover, to account for seasonal variability in analyses based on combinations of the repeated serum samples, the pre-diagnostic and diagnostic 25-OHD values were season-standardized using a seasonal variation factor, defined as the ratio of the 25-OHD average to the monthly 25-OHD average. Using the season-standardized 25-OHD values in both samples, we defined subgroups of all possible combinations of low (<46 nmol/L), intermediate (46–61 nmol/L), and high (>62 nmol/L) levels in the two samples. Finally, season-standardized change in serum 25-OHD was calculated and categorized by tertiles (T): T1=loss (range −84.2 to −8.6 nmol/L); T2=stable (range −8.5 to +9.5 nmol/L); T3=rise (range +10.0 to +110.9 nmol/L). The outcome, case fatality, was defined by the main cause of death reported on the death certificate (true if death from specific cancer).

Statistical analysis

Cases were followed from the date of diagnosis until the date of death, migration, or end of follow-up (31.12.2012), whichever came first. Descriptive analyses were conducted for patient characteristics. Cox proportional hazard regression models were used to assess associations between circulating 25-OHD and case fatality. First, separate analyses, adjusted for sex, age, season of serum sampling, and serum storage time, were conducted for pre-diagnostic and diagnostic samples. Second, stratified analyses were conducted by cancer site. Third, longitudinal analysis was conducted using categories of the season-standardized 25-OHD values, from the pre-diagnostic and the diagnostic samples combined; low/low versus all possible combinations of low, intermediate, and high levels, adjusted for sex age and serum storage time. Last, analysis was conducted using tertiles of season-standardized change in 25-OHD values (between pre-diagnostic and diagnostic samples), adjusted for sex and age. Because the processes of carcinogenesis, from initial lesion to clinical detection, typically take years,17 we reasoned that if ongoing cancer processes or its consequences cause low serum 25-OHD (explanation B), this would be most apparent for cases for whom both samples were collected close to the time of cancer diagnosis. Therefore, we stratified analysis by time between the pre-diagnostic and diagnostic samples; short (≤10 years) and long (>10 years) time. Additional analyses were conducted, to estimate HRs of cancer case fatality according to clinical categories of 25-OHD and according to season-standardized 25-OHD levels categorized into the predefined 25-OHD categories, separately for the pre-diagnostic and the diagnostic serum samples (Supplementary materials). Analyses employed Stata 15 (StataCorp, College Station, TX). The statistical significance level was set at 5%. Effect estimates, from crude and adjusted models, are presented as hazard ratios (HRs), with 95% confidence intervals (CI).

Results

Patient characteristics are shown in Table 1. The median age at cancer diagnosis was 57 years (range 32−82) and was lowest for breast cancer (55 years) and highest for lung cancer (59 years). The median time between the pre-diagnostic and diagnostic serum sampling was 14.4 years (range 1.1−34.4), with the shortest median time span for breast cancer (11.7 years) and longest for lung cancer (17.7 years). The median 25-OHD level in pre-diagnostic samples was 63.3 nmol/L (17.4−142.5), with only minor differences between the cancer sites. The median diagnostic level of 25-OHD was 62.5 nmol/L (13.0−185.0), lowest for lung cancer (55.0 nmol/L) and highest for breast cancer (72.0). For the season-standardized change in serum 25-OHD, from the pre-diagnostic to the diagnostic samples, the median loss for T1 was −22.4 nmol/L (range −84.2 to −8.6) and the median rise for T3 was 22.3 nmol (range 10.0−110.9), whereas for T2, the category with stable levels the median change was 0.4 nmol/L (range −8.6 to 9.4).
Table 1

Characteristics of the cancer patients; numbers (n), percentage (%), median, range, and means

CharacteristicsCancer siteTotal
BreastColonLungLymphoma
Cases/cancer deaths, n202/6837/22193/168124/55556/313
Sex, cases/cancer deaths, n
 Men023/15122/10579/35224/155
 Women202/6814/771/6345/20332/158
Age at diagnosis
 Years, median (range)55 (34–75)58 (32–75)59 (39–82)57 (39–79)57 (32–82)
Time between prediagnostic serum sampling and diagnosis
 Years, median (range)11.7 (1.1–28.9)13.5 (3.0–22.1)17.7 (2.3–34.4)15.2 (2.9–31.8)14.4 (1.1–34.4)
Prediagnostic 25-OHD, nmol/L, median (range)62.5 (18.0–119.0)61.0 (24.0–129.0)64.5 (17.4–132.4)64.4 (32.3–142.5)63.3 (17.4–142.5)
 1 [<46 nmol/L], mean (n)36.3 (44)36.0 (7)37.7 (41)40.1 (22)37.5 (114)
 2 [46–61 nmol/L], mean (n)53.9 (56)55.1 (14)54.7 (50)54.7 (34)54.5 (154)
 3 [62–81 nmol/L], mean (n)71.4 (65)72.6 (10)71.9 (58)70.5 (35)71.4 (168)
 4 [≥82 nmol/L], mean (n)94.3 (37)101.3 (6)97.4 (44)97.7 (33)96.7 (120)
Season-standardized prediagnostic 25-OHD nmol/L, median (range)61.4 (20.9–139.5)60.7 (25.9–111.6)64.0 (18.2–151.7)66.5 (34.8–128.7)63.2 (18.2–151–7)
Diagnostic 25-OHD, nmol/L, median (range)72.0 (13.0–177.0)62.0 (24.0–124.0)55.0 (15.0–184.0)59.5 (16.0–185.0)62.5 (13.0–185.0)
 1 [<46 nmol/L], mean (n)34.7 (29)38.0 (10)34.8 (60)35.9 (39)35.3 (138)
 2 [46–61 nmol/L], mean (n)54.0 (47)50.0 (8)52.7 (55)54.1(26)53.3 (136)
 3 [62–81 nmol/L], mean (n)71.5 (48)71.8 (13)71.4 (40)70.2 (33)71.2 (134)
 4 [≥82 nmol/L], mean (n)99.6 (78)97.2 (6)98.1 (38)103.6 (26)99.8 (148)
Season-standardized diagnostic 25-OHD nmol/L, median (range)74.2 (13.6–151.9)63.9 (26.9–157.6)56.6 (15.7–152.7)59.3 (16.8–180.6)63.5 (13.6–180.6)
Characteristics of the cancer patients; numbers (n), percentage (%), median, range, and means Four percent (4%) of the cases were diagnosed with cancer in the 1970s, 17% in the 1980s, 31% in the 1990s, and 48% during 2001−2012. Approximately two-thirds of the cases (n=369) died during follow-up, of which 313 (84.8%) were due to their cancer. This is consistent with the expected proportion of cancer deaths in Norway (85%) when taking cancer type, age at diagnosis, sex, and time of follow-up into account.18 Table 2 presents HRs for case fatality, all cancer sites together, by categories of pre-diagnostic and diagnostic serum 25-OHD. Results from the adjusted model show that, compared to category 1 (<46 nmol/L), cases with high serum levels, category 3 (62−81 nmol/L) and 4 (≥82 nmol/L), had significantly lower HRs of case fatality. The association was found for pre-diagnostic samples (HRs were 0.61 (95% CI 0.44−0.84) and 0.46 (95% CI 0.32−0.66), respectively) and diagnostic samples (HRs were 0.44 (95% CI 0.32−0.61) and 0.41 (95% CI 0.30−0.57), respectively). The dose–response trend was significant (ptrend ≤0.001). Similar results were found both when using clinical categories of 25-OHD (Table S1) and season-standardized 25-OHD levels categorized into the predefined 25-OHD categories (Table S2).
Table 2

Hazard ratios (HR) with 95% confidence interval (95% CI) of cancer case fatality according to predefined categories of prediagnostic (I) and diagnostic (II) 25-OHD levels, from crude and adjusted analyses

naCrude modelAdjusted modelb
HR (95% CI)HR (95% CI)
I. Prediagnostic 25-OHDc
1 [<46 nmol/L]114/731.00 reference1.00 reference
2 [46–61 nmol/L]154/760.62 (0.45–0.85)0.52 (0.37–0.72)
3 [62–81 nmol/L]168/1020.75 (0.56–1.02)0.61 (0.44–0.84)
4 [≥82 nmol/L]120/620.64 (0.46–0.91)0.46 (0.32–0.66)
p for trend0.0660.001
II. Diagnostic 25-OHDc
1 [<46 nmol/L]138/971.00 reference1.00 reference
2 [46–61 nmol/L]136/830.61 (0.46–0.82)0.74 (0.55–0.99)
3 [62–81 nmol/L]134/640.41 (0.30–0.56)0.44 (0.32–0.61)
4 [≥82 nmol/L]148/690.36 (0.27–0.50)0.41 (0.30–0.57)
p for trend<0.001<0.001

Notes: aNumber of cases/cancer deaths; bAdjusted for sex, age at diagnosis, season of serum sampling, and serum storage time; cThe two serum samples were collected in average 14.4 years apart.

Table S1

Hazard ratios (HR) with 95% confidence interval (95% CI) of cancer case fatality according to clinically categories of pre-diagnostic (I) and diagnostic (II) 25-OHD levels

naCrude modelAdjusted modelb
HR (95% CI)HR (95% CI)
I. Pre-diagnostic 25-OHDc
Insufficient [<50 nmol/L]142/851.00 reference1.00 reference
Sufficient [50–75 nmol/L]235/1310.78 (0.59-1.02)0.68 (0.52–0.91)
Optimal [>75 nmol/L]179/970.74 (0.46–0.91)0.59 (0.43–0.81)
p for trend0.0520.001
II. Diagnostic 25-OHDc
Insufficient [<50 nmol/L]171/1221.00 reference1.00 reference
Sufficient [50–75 nmol/L]189/960.47 (0.36–0.61)0.51 (0.39–0.67)
Optimal [>75 nmol/L]196/950.40 (0.31–0.53)0.44 (0.33–0.58)
p for trend<0.001<0.001

Notes: aNumber of cases/cancer deaths; bAdjusted for sex, age at diagnosis, season of serum sampling, and serum storage time; cThe two serum samples were collected in average 14.4 years apart.

Table S2

Hazard ratios (HR) with 95% confidence interval (95% CI) of cancer case fatality according to season-standardized 25-OHD levels in predefined categories of pre-diagnostic (I) and diagnostic (II) 25-OHD levels

naCrude modelAdjusted modelb
HR (95% CI)HR (95% CI)
I. Pre-diagnostic 25-OHDc
1 [<46 nmol/L]96/581.00 reference1.00 reference
2 [46–61 nmol/L]169/940.85 (0.61–1.18)0.77 (0.56–1.08)
3 [62–81 nmol/L]181/1000.74 (0.53–1.02)0.63 (0.44–0.91)
4 [≥82 nmol/L]110/610.78 (0.54–1.12)0.63 (0.44–0.91)
p for trend0.1130.007
II. Diagnostic 25-OHDc
1 [<46 nmol/L]134/921.00 reference1.00 reference
2 [46–61 nmol/L]136/890.70 (0.52–0.93)0.79 (0.59–1.06)
3 [62–81 nmol/L]147/690.42 (0.31–0.57)0.47 (0.34–0.64)
4 [≥82 nmol/L]139/630.36 (0.26–0.50)0.41 (0.30–0.58)
p for trend<0.001<0.001

Notes: aNumber of cases/cancer deaths; bAdjusted for sex, age at diagnosis, season of serum sampling, and serum storage time; cThe two serum samples were collected in average 14.4 years apart.

Hazard ratios (HR) with 95% confidence interval (95% CI) of cancer case fatality according to predefined categories of prediagnostic (I) and diagnostic (II) 25-OHD levels, from crude and adjusted analyses Notes: aNumber of cases/cancer deaths; bAdjusted for sex, age at diagnosis, season of serum sampling, and serum storage time; cThe two serum samples were collected in average 14.4 years apart. Table 3 shows HRs for case fatality by cancer site, according to cancer-specific categories of 25-OHD (fully adjusted model) in pre-diagnostic and diagnostic samples. We found a similar pattern for all cancers, with the highest HR in cases with serum 25-OHD at the lowest category. Based on pre-diagnostic samples, however, statistically significant associations were found for lung cancer (ptrend 0.004) and lymphoma (ptrend 0.184), with HRs for the highest category of 0.55 (95% CI 0.31−0.96) and 0.29 (95% CI 0.10−0.82), respectively. Based on diagnostic samples, the association was statistically significant for all sites; breast (ptrend 0.008), colon (ptrend 0.033), lung (ptrend <0.001), and lymphoma (ptrend 0.003).
Table 3

Hazard ratios (HR) with 95% confidence interval (95% CI) of cancer case fatality by cancer site, according to predefined cancer-specific categories of prediagnostic (I) and diagnostic (II) 25-OHD serum levels. The two serum samples were collected in average 14.4 years apart

Cancer site
Breast HR (95% CI)aColon HR (95% CI)aLung HR (95% CI)aLymphoma HR (95% CI)a
nb202/6837/22193/168124/55
I. Prediagnostic 25-OHDc
11.001.001.001.00
20.66 (0.36–1.21)0.24 (0.04–1.49)1.08 (0.63–1.86)0.40 (0.15–1.09)
30.66 (0.35–1.25)0.28 (0.06–1.31)0.74 (0.45–1.23)1.05 (0.44–2.50)
40.39 (0.14–1.06)0.61 (0.13–2.91)0.55 (0.31–0.96)0.29 (0.10–0.82)
p for trend0.0550.9250.0040.184
II. Diagnostic 25-OHDc
11.001.001.001.00
20.40 (0.19–0.81)1.15 (0.30–4.43)0.52 (0.34–0.81)0.91 (0.45–1.86)
30.44 (0.22–0.87)0.53 (0.14–1.97)0.48 (0.31–0.75)0.38 (0.17–0.88)
40.32 (0.15–0.67)0.18 (0.03–0.98)0.30 (0.19–0.47)0.36 (0.16–0.81)
p for trend0.0080.033<0.0010.003

Notes: aAdjusted for sex, age at diagnosis, season of serum sampling, and serum storage time; bNumber of case/deaths due to cancer; cCancer-specific category limits of 25-OHD (nmol/L): breast ≤50, 51–67, 68–86, >86; colon ≤44, 45–56, 57–77,>77; lung ≤41, 42–56, 57–76,>76; lymphoma ≤44, 45–60, 61–77,>77.

Hazard ratios (HR) with 95% confidence interval (95% CI) of cancer case fatality by cancer site, according to predefined cancer-specific categories of prediagnostic (I) and diagnostic (II) 25-OHD serum levels. The two serum samples were collected in average 14.4 years apart Notes: aAdjusted for sex, age at diagnosis, season of serum sampling, and serum storage time; bNumber of case/deaths due to cancer; cCancer-specific category limits of 25-OHD (nmol/L): breast ≤50, 51–67, 68–86, >86; colon ≤44, 45–56, 57–77,>77; lung ≤41, 42–56, 57–76,>76; lymphoma ≤44, 45–60, 61–77,>77. Compared to donors with low 25-OHD levels (<46 nmol/L) at both time points, lower HRs of case fatality were found for all combinations, except for the combination high (≥62 nmol/L)/low, with a significant dose–response trend (ptrend ≤0.001) (Table 4). Cases with both samples at high levels or the combination of intermediate (46–61 nmol/L)/high levels had 59–57% lower HRs (HR 0.41, 95% CI 0.27−0.61 and HR 0.43 95% CI 0.26−0.73, respectively). HRs for case fatality by change in season-standardized 25-OHD, from the pre-diagnostic to the diagnostic sample, in tertiles (T), are presented in Table 5. T3 cases, with rise in serum 25-OHD (median 22.3 nmol/L), had a significantly lower risk (HR 0.57, 95% CI 0.43−0.75), compared to T1, who had loss in serum 25-OHD (median −22.4 nmol/L). Also for T2, the group with stable 25-OHD levels (median change of 0.4 nmol/L), the risk was lower (HR 0.76, 95% CI 0.58−0.99) compared to T1. When stratifying this analysis by time between the pre-diagnostic and diagnostic samples, the association was significant only for cases with more than a 10-year time span between the samples (Table 5).
Table 4

Hazard ratios (HR) with 95% confidence intervals (95% CI) of cancer case fatality by all possible combinations of season-standardized 25-OHD categories in prediagnostic and diagnostic samples

25-OHD levelnbHR (95% CI)c
Prediagnostic sampleaDiagnostic samplea
Low (<46 nmol/L)Low (<46 nmol/L)50/321.00 reference
Low (<46 nmol/L)Intermediate (46–61 nmol/L)23/150.84 (0.46–1.56)
Low (<46 nmol/L)High (≥62 nmol/L)23/110.53 (0.27–1.05)
Intermediate (46–61 nmol/L)Low (<46 nmol/L)47/300.86 (0.52–1.42)
Intermediate (46–61 nmol/L)Intermediate (46–61 nmol/L)51/340.87 (0.54–1.41)
Intermediate (46–61 nmol/L)High (≥62 nmol/L)59/260.43 (0.26–0.73)
High (≥62 nmol/L)Low (<46 nmol/L)37/301.01 (0.61–1.69)
High (≥62 nmol/L)Intermediate (46–61 nmol/L)55/360.70 (0.43–1.14)
High (≥62 nmol/L)High (≥62 nmol/L)211/990.41 (0.27–0.61)
p for trend<0.001

Notes: aThe two serum samples were collected in average 14.4 years apart; bNumber of cases/cancer deaths; cAdjusted for sex, age at diagnosis, and serum storage time.

Table 5

Hazard ratios (HR) with 95% confidence interval (95% CI) of cancer case fatality by tertiles (T) of change in season-standardized 25-OHD between prediagnostic and diagnostic samples, overall (I), and according to time-span between collection of the samples; <10 years (II) and ≥10 years (III)

25-OHD changeanbHR (95% CI)c
I. Overall
T1 (loss)186/1261.00 (reference)
T2 (stable)185/1000.76 (0.58–0.99)
T3 (rise)185/870.57 (0.43–0.75)
p for trend<0.001
II. <10 years
T1 (loss)17/321.00 (reference)
T2 (stable)17/360.94 (0.47–1.87)
T3 (rise)22/500.89 (0.46–1.70)
Trend0.718
III. ≥10 years
T1 (loss)110/1541.00 (reference)
T2 (stable)82/1490.70 (0.52–0.93)
T3 (rise)65/1350.50 (0.37–0.69)
p for trend<0.001

Notes: aTertile 1 (loss) −86.8 to −26.4; Tertile 2 (stable) −10.4 to +0.14; Tertile 3 (rise) +9.6 to +27.3; bNumber of cases/cancer deaths; cAdjusted for sex and age at diagnosis.

Hazard ratios (HR) with 95% confidence intervals (95% CI) of cancer case fatality by all possible combinations of season-standardized 25-OHD categories in prediagnostic and diagnostic samples Notes: aThe two serum samples were collected in average 14.4 years apart; bNumber of cases/cancer deaths; cAdjusted for sex, age at diagnosis, and serum storage time. Hazard ratios (HR) with 95% confidence interval (95% CI) of cancer case fatality by tertiles (T) of change in season-standardized 25-OHD between prediagnostic and diagnostic samples, overall (I), and according to time-span between collection of the samples; <10 years (II) and ≥10 years (III) Notes: aTertile 1 (loss) −86.8 to −26.4; Tertile 2 (stable) −10.4 to +0.14; Tertile 3 (rise) +9.6 to +27.3; bNumber of cases/cancer deaths; cAdjusted for sex and age at diagnosis.

Discussion

To our knowledge, this is the first study to use repeated measurements of the 25-OHD, obtained at different time points with respect to cancer diagnosis, to study the relationship between 25-OHD and cancer survival. We found that higher levels of 25-OHD, in both pre- and diagnostic serum samples, predict cancer survival. For the four cancer sites studied, cases with 25-OHD levels ≥46 nmol/L had lower hazards of case fatality, compared to lower 25-OHD levels. This result held for pre-diagnostic sample, collected on average 14.4 years prior to the cancer diagnosis as well as for diagnostic samples. Moreover, cases who had 25-OHD levels at ≥62 nmol/L in both samples had less than half the hazard of case fatality, compared to cases with both samples at levels <46 nmol/L. Last, we found that, compared to a decline in 25-OHD, cases with stable levels of 25-OHD and those with rising levels, from pre-diagnostic to diagnostic samples, had significantly lower hazards of case fatality. The findings for the diagnostic samples confirm those in our previous study,13 even though the current analysis was based on a smaller number of donors (since both pre-diagnostic and diagnostic samples were required), suggesting robustness of the original findings. Further, both overall and site-specific results for the diagnostic sample are consistent with recent reports on 25-OHD and cancer survival. For example, recent meta-analyses reported improved cancer survival in cases with high 25-OHD versus cases with low 25-OHD, measured at most 1 year from diagnosis, which was significant for breast, colorectal, and hematological cancer. For lung cancer, no association was found.9,10 In the present study, we studied serum samples collected up to three decades prior to the cancer diagnosis. We found a significant inverse association between 25-OHD levels and case fatality. Our results are consistent with the recent findings reported from the Alpha-Tocopherol, Beta-Carotene (ATBC) Cancer Prevention Study which reported a positive association between the 25-OHD levels decades prior to the cancer diagnosis and cancer survival.19 The ATBC cohort was restricted to the male smoking population and had only one 25-OHD measurement (pre-diagnostic). Strengths of the current study are that it is population-based, includes both sexes, and adds the ability to investigate the association longitudinally using repeated 25-OHD measurements. Our result is also consistent with most (but not all22) large meta-analyses on cancer mortality based on prospectively measured 25-OHD.2,20,21 Site-specific analyses based on pre-diagnostic serum samples showed lower HRs for case fatality for the highest category of 25-OHD for all four cancer sites, although was statistically significant for lymphoma and lung cancer only. A similar inverse relation between prospectively measured 25-OHD and lung cancer mortality was found in a Danish study.23 Conversely, a study from NHANES III found a positive association for men but no association for women.24 Also, the ATBC study, based on men only, found a positive association between pre-diagnostic 25-OHD and lung cancer mortality.19 Possible explanations for the discrepant results may be due to differences between the study cohorts. For example, the ATBC study included smokers only and participants were older at serum sampling than the Janus donors, both factors which are associated with lower levels of 25-OHD.25,26 Further, when comparing the median pre-diagnostic 25-OHD levels, participants in the ATBC study had lower levels (34.7 nmol/L (range 14.4–66.1) in non-survivors and 36.5 nmol/L (range 15.6–68.0) in survivors)19 than in the current study (63.3 nmol/L (range 17.4–142.5)). For lymphoma, the ATBC study did not report separate results, but for hematological cancers as a group, no association was found.19 With regard to breast cancer, we found no comparable studies. However, the survival rate for breast cancer is high and any potential effect of the 25-OHD status years prior to diagnosis might be difficult to demonstrate. For colon cancer, the evidence is unclear. In the present study, the small number of cases is a limitation. The ATBC study found no association, but studied colorectal cancer as a group,19 whereas a large study within the European Prospective Investigation into Cancer and Nutrition cohort (EPIC) observed a significant association between high pre-diagnostic 25-OHD and improved survival for colon cancer cases.27 The present study adds several innovations to the literature on vitamin D and survival. First, we examined 25-OHD levels longitudinally and are the first to demonstrate how changes in 25-OHD over time were associated with case fatality. Cases with high season-standardized 25-OHD levels (≥62 nmol/L), in both serum samples, had less than half the HR of case fatality, compared to cases with low levels (<46 nmol/L) at both time points (Table 4). Moreover, we found that a rise in season-standardized 25-OHD (median rise 22.3 nmol/L), from the pre-diagnostic to the diagnostic serum sample, was associated with significantly lower HR (50%) of case fatality, compared to a loss (median −22.4 nmol/L). Cancer development typically spans several years,17 and a strong argument against a cause-and-effect relationship between 25-OHD and cancer prognosis is that cancer processes or consequences of the disease cause the 25-OHD level to fall. To test this, we stratified analysis by time between the serum samples. Our findings for the time interval of more than 10 years and not for the shorter time interval (Table 5) argue against the reverse causality argument. Considered together, our results are consistent with the hypothesis that high circulating 25-OHD retard cancer processes. There may be several mechanisms whereby 25-OHD exerts anti-cancer effects. It was previously believed that the hormonal form of vitamin D, 1,25(OH)2D, was the only vitamin D metabolite that acted to retard cancer and that its autocrine synthesis depended upon the level of its substrate, 25-OHD. However, evidence from several cancers, including prostate and lung cancer, indicates that 25-OHD can activate the receptor for 1,25(OH)2D and exert genomic responses.5,28 Low 25-OHD levels are also shown to be associated with higher serum levels of inflammatory cytokines and poor immune function that are biomarkers of adverse prognosis in several cancers.29,30 In this regard, vitamin D supplementation may support immune responses of cancer patients and contribute thereby to improved survival.30 It is noteworthy that a recent review of studies of vitamin D supplementation reported supplementation to play an important role in disease-free survival in a number of cancers.31 Alternative explanations for the inverse association found between 25-OHD status and case fatality in cancer patients include chance, selection bias, and confounding. We believe that chance is an unlikely explanation as our results were consistent across cancer sites and were consistent for both pre-diagnostic and diagnostic samples. Significant selection and/or survival bias is unlikely since the Janus cohort is population-based and there was no loss to follow-up.32 Long storage time of serum, before 25-OHD assessment, could have influenced our results, but long-term storage of serum has been shown to have little effect on serum levels of 25-OHD.33 Additionally, the associations persisted after storage time was taken into account. However, effects of personal characteristics and potential confounding factors cannot be excluded. The 25-OHD level is influenced by sun exposure and thus varies with season and place of residence. Although we accounted for season of sampling, we did not have information about individual differences in sun exposure or lifestyle factors, such as physical activity and body mass index (BMI) that are associated with both 25-OHD level and cancer death. However, in studies taking such factors into account, these factors did not change the results significantly.2,9,10 Furthermore, genetic and epigenetic factors can account for variability in serum 25-OHD and alterations in its function.8 Secular changes in treatment could influence cancer survival if newer treatments were significantly better than older treatments and if the 25-OHD status increased over time. Our analysis indicates, however, that 25-OHD levels actually decreased slightly by calendar year of collection (ie, changed in a conservative direction).

Conclusion

Our study demonstrates that 25-OHD levels <46 nmol/L, both several years prior to and at the time of cancer diagnosis, were associated with higher case fatality. We found lower hazards of case fatality in cases with rise in serum 25-OHD toward diagnosis, when the pre-diagnostic sample was collected ≥10 years prior to the diagnosis. These data are consistent with explanation A; a causal relationship between higher vitamin D and reduced cancer case fatality.

Supplementary materials

Additional analyses were conducted to estimate hazard ratios (HR) of cancer case fatality according to clinical categories of 25-OHD, both for pre-diagnostic and diagnostic samples. The established limits for vitamin D levels are defined with respect to bone health, with cut-off at ≥50 nmol/L for sufficiency.1 Laboratories use categories of vitamin D levels as follows: deficient <25 nmol/L, insufficient <50 nmol/L, sufficient 50–75 nmol/L and optimal >75 nmol/L.2 Due to low numbers (only 9 in deficient), we collapsed the deficient and insufficient categories. Results from the adjusted model (Table S1) show that, compared to insufficient levels (<50 nmol/L), cases with sufficient (50–75 nmol/L) and optimal levels (>75 nmol/L) have significantly lower HRs of case fatality. The association was found for the pre-diagnostic and the diagnostic samples. The dose–response trend was significant (ptrend ≤0.001). Hazard ratios (HR) with 95% confidence interval (95% CI) of cancer case fatality according to clinically categories of pre-diagnostic (I) and diagnostic (II) 25-OHD levels Notes: aNumber of cases/cancer deaths; bAdjusted for sex, age at diagnosis, season of serum sampling, and serum storage time; cThe two serum samples were collected in average 14.4 years apart. The 25-OHD levels in the Norwegian population vary by season due to seasonal variation in ultraviolet radiation. To account for this variability, the date of blood sampling was categorized as Winter (December–February), Spring (March–May), Summer (June–August), and Fall (September–November), which variable was included in the analysis model (Tables 2 and 3, adjusted model). In analyses based on combinations of the repeated serum samples, we used another approach to account for seasonal variation. The 25-OHD levels were season-standardized, using a seasonal variation factor that was defined as the ratio of the 25-OHD average to the monthly 25-OHD average. This ratio, which is similar to the ratio in the moving average method of de-trending time-series data,3 was used to smooth out the fluctuations in levels of 25-OHD that are due to season. Table S2 shows HRs of cancer case fatality by season-standardized 25-OHD levels categorized into the predefined 25-OHD categories, separately for the pre-diagnostic and the diagnostic serum samples. Results from the adjusted model show significantly lower HRs of case fatality for cases with serum levels in category 3 (62−81 nmol/L) and 4 (≥82 nmol/L), compared to cases in category 1 (<46 nmol/L). The association was found for pre-diagnostic and diagnostic samples, with a significant dose–response trend (ptrend 0.007 and <0.001, respectively). Hazard ratios (HR) with 95% confidence interval (95% CI) of cancer case fatality according to season-standardized 25-OHD levels in predefined categories of pre-diagnostic (I) and diagnostic (II) 25-OHD levels Notes: aNumber of cases/cancer deaths; bAdjusted for sex, age at diagnosis, season of serum sampling, and serum storage time; cThe two serum samples were collected in average 14.4 years apart.
  31 in total

1.  Data quality at the Cancer Registry of Norway: an overview of comparability, completeness, validity and timeliness.

Authors:  Inger Kristin Larsen; Milada Småstuen; Tom Børge Johannesen; Frøydis Langmark; Donald Maxwell Parkin; Freddie Bray; Bjørn Møller
Journal:  Eur J Cancer       Date:  2008-12-16       Impact factor: 9.162

2.  The effects of storage time and sampling season on the stability of serum 25-hydroxy vitamin D and androstenedione.

Authors:  Calypse Agborsangaya; Adetunji T Toriola; Kjell Grankvist; Heljia-Marja Surcel; Katsiaryna Holl; Seppo Parkkila; Pentti Tuohimaa; Annekatrin Lukanova; Matti Lehtinen
Journal:  Nutr Cancer       Date:  2010       Impact factor: 2.900

3.  The in vitro evaluation of 25-hydroxyvitamin D3 and 19-nor-1alpha,25-dihydroxyvitamin D2 as therapeutic agents for prostate cancer.

Authors:  T C Chen; G G Schwartz; K L Burnstein; B L Lokeshwar; M F Holick
Journal:  Clin Cancer Res       Date:  2000-03       Impact factor: 12.531

4.  Serum levels of 25-hydroxyvitamin D and survival in Norwegian patients with cancer of breast, colon, lung, and lymphoma: a population-based study.

Authors:  Steinar Tretli; Gary G Schwartz; Peter Abusdal Torjesen; Trude Eid Robsahm
Journal:  Cancer Causes Control       Date:  2011-12-23       Impact factor: 2.506

5.  Serum 25-hydroxyvitamin D and cancer mortality in the NHANES III study (1988-2006).

Authors:  D Michal Freedman; Anne C Looker; Christian C Abnet; Martha S Linet; Barry I Graubard
Journal:  Cancer Res       Date:  2010-09-16       Impact factor: 12.701

6.  25-Hydroxyvitamin D3, the prohormone of 1,25-dihydroxyvitamin D3, inhibits the proliferation of primary prostatic epithelial cells.

Authors:  A M Barreto; G G Schwartz; R Woodruff; S D Cramer
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2000-03       Impact factor: 4.254

Review 7.  Nonclassic actions of vitamin D.

Authors:  Daniel Bikle
Journal:  J Clin Endocrinol Metab       Date:  2008-10-14       Impact factor: 5.958

8.  Distant metastasis occurs late during the genetic evolution of pancreatic cancer.

Authors:  Shinichi Yachida; Siân Jones; Ivana Bozic; Tibor Antal; Rebecca Leary; Baojin Fu; Mihoko Kamiyama; Ralph H Hruban; James R Eshleman; Martin A Nowak; Victor E Velculescu; Kenneth W Kinzler; Bert Vogelstein; Christine A Iacobuzio-Donahue
Journal:  Nature       Date:  2010-10-28       Impact factor: 49.962

9.  Association between serum 25(OH)D and death from prostate cancer.

Authors:  S Tretli; E Hernes; J P Berg; U E Hestvik; T E Robsahm
Journal:  Br J Cancer       Date:  2009-01-20       Impact factor: 7.640

10.  Prediagnostic 25-hydroxyvitamin D, VDR and CASR polymorphisms, and survival in patients with colorectal cancer in western European ppulations.

Authors:  Veronika Fedirko; Elio Riboli; Anne Tjønneland; Pietro Ferrari; Anja Olsen; H Bas Bueno-de-Mesquita; Fränzel J B van Duijnhoven; Teresa Norat; Eugène H J M Jansen; Christina C Dahm; Kim Overvad; Marie-Christine Boutron-Ruault; Françoise Clavel-Chapelon; Antoine Racine; Annekatrin Lukanova; Birgit Teucher; Heiner Boeing; Krasimira Aleksandrova; Antonia Trichopoulou; Vassiliki Benetou; Dimitrios Trichopoulos; Sara Grioni; Paolo Vineis; Salvatore Panico; Domenico Palli; Rosario Tumino; Peter D Siersema; Petra H Peeters; Guri Skeie; Magritt Brustad; Maria-Dolores Chirlaque; Aurelio Barricarte; Jose Ramón Quirós; Maria José Sánchez; Miren Dorronsoro; Catalina Bonet; Richard Palmqvist; Göran Hallmans; Timothy J Key; Francesca Crowe; Kay-Tee Khaw; Nick Wareham; Isabelle Romieu; James McKay; Petra A Wark; Dora Romaguera; Mazda Jenab
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-01-25       Impact factor: 4.254

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  8 in total

1.  Prediagnostic Serum Vitamin D, Vitamin D Binding Protein Isoforms, and Cancer Survival.

Authors:  Stephanie J Weinstein; Alison M Mondul; Tracy M Layne; Kai Yu; Jiaqi Huang; Rachael Z Stolzenberg-Solomon; Regina G Ziegler; Mark P Purdue; Wen-Yi Huang; Christian C Abnet; Neal D Freedman; Demetrius Albanes
Journal:  JNCI Cancer Spectr       Date:  2022-03-02

2.  Vitamin D status in breast cancer cases following chemotherapy: A pre and post observational study in a tertiary hospital in Yogyakarta, Indonesia.

Authors:  Herindita Puspitaningtyas; Dian Caturini Sulistyoningrum; Riani Witaningrum; Irianiwati Widodo; Mardiah Suci Hardianti; Kartika Widayati Taroeno-Hariadi; Johan Kurnianda; Ibnu Purwanto; Susanna Hilda Hutajulu
Journal:  PLoS One       Date:  2022-06-24       Impact factor: 3.752

Review 3.  Epidemiology of Non-Hodgkin's Lymphoma.

Authors:  Krishna C Thandra; Adam Barsouk; Kalyan Saginala; Sandeep Anand Padala; Alexander Barsouk; Prashanth Rawla
Journal:  Med Sci (Basel)       Date:  2021-01-30

4.  Prediagnostic Serum 25-Hydroxyvitamin D and Mortality Among Bladder Cancer Patients in the Janus Serum Bank Cohort.

Authors:  Helga H Hektoen; Randi E Gislefoss; Jo S Stenehjem; Hilde Langseth; Karol Axcrona; Alison M Mondul; Trude E Robsahm; Bettina K Andreassen
Journal:  Clin Epidemiol       Date:  2021-09-14       Impact factor: 4.790

5.  Impact of vitamin D level at diagnosis and transplantation on the prognosis of hematological malignancy: a meta-analysis.

Authors:  Yusuke Ito; Akira Honda; Mineo Kurokawa
Journal:  Blood Adv       Date:  2022-03-08

6.  Impact of serum vitamin D on the response and prognosis in breast cancer patients treated with neoadjuvant chemotherapy.

Authors:  Eriko Tokunaga; Takanobu Masuda; Hideki Ijichi; Wakako Tajiri; Chinami Koga; Yumiko Koi; Yoshiaki Nakamura; Shinji Ohno; Kenichi Taguchi; Masahiro Okamoto
Journal:  Breast Cancer       Date:  2021-09-06       Impact factor: 4.239

7.  Prediagnostic serum 25-hydroxyvitamin D and melanoma risk.

Authors:  Jo S Stenehjem; Nathalie C Støer; Reza Ghiasvand; Tom K Grimsrud; Ronnie Babigumira; Judy R Rees; Lill Tove Nilsen; Bjørn Johnsen; Per M Thorsby; Marit B Veierød; Trude E Robsahm
Journal:  Sci Rep       Date:  2020-11-18       Impact factor: 4.379

8.  Vitamin D receptor knockdown attenuates the antiproliferative, pro‑apoptotic and anti‑invasive effect of vitamin D by activating the Wnt/β‑catenin signaling pathway in papillary thyroid cancer.

Authors:  Rui Pang; Ye Xu; Xiaonan Hu; Bo Liu; Jiawei Yu
Journal:  Mol Med Rep       Date:  2020-09-17       Impact factor: 2.952

  8 in total

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