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Article

Plasma 25-Hydroxyvitamin D Levels and VDR Gene Expression in Peripheral Blood Mononuclear Cells of Leukemia Patients and Healthy Subjects in Central Kazakhstan

by
Assel G. Zhumina
1,
Konstantin Li
2,
Anna A. Konovalova
1,2,
Yelena A. Li
2,
Margarita Yu. Ishmuratova
1,
Gayane P. Pogossyan
1,2 and
Michael Danilenko
3,*
1
Department of Botany, Academician Y.A. Buketov Karaganda State University, Karaganda 100028, Kazakhstan
2
DNA Diagnostics Laboratory, the Dippner Health Center, Karaganda 100009, Kazakhstan
3
Department of Clinical Biochemistry and Pharmacology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
*
Author to whom correspondence should be addressed.
Nutrients 2020, 12(5), 1229; https://doi.org/10.3390/nu12051229
Submission received: 19 February 2020 / Revised: 10 April 2020 / Accepted: 18 April 2020 / Published: 26 April 2020
(This article belongs to the Special Issue Vitamin D in Health and the Prevention and Treatment of Disease)
Browse Figures
Versions Notes

Abstract

:
Low blood levels of the vitamin D metabolite 25-hydroxyvitamin D [25(OH)D] have been associated with an increased risk and poorer outcomes of various cancers, including hematological malignancies. The Central Kazakhstan area has a relatively high incidence rate of leukemia. However, the relationship between vitamin D status and leukemia or other types of cancer in Kazakhstan has not yet been addressed. Therefore, in this first pilot single-center study conducted in Central Kazakhstan, we compared plasma levels of 25(OH)D and the vitamin D receptor (VDR) gene expression levels in peripheral blood mononuclear cells of patients with leukemia and demographically matching healthy volunteers. The levels of 25(OH)D in patients were found to be significantly lower (10.8 ± 7.0 ng/mL; n = 31) than in healthy subjects (21.6 ± 7.8 ng/mL; n = 34; p < 0.0001). A similar difference was observed in both younger (<60 years old) and older (>60 years old) participants, though there was no association between 25(OH)D concentration and age within the patient group. In female patients, 25(OH)D levels were significantly lower than in male patients (p = 0.04). No significant seasonal variations of 25(OH)D were observed in either the patient or the control group. VDR gene expression levels appeared to be similar in leukemia patients and healthy subjects, and no correlation between the cellular VDR expression and plasma 25(OH)D concentrations was observed in either group of participants. We did not observe a significant association of 25(OH)D or VDR levels and overall survival of leukemia patients. This observational study conducted for the first time in Kazakhstan supports previous findings demonstrating reduced blood 25(OH)D levels in cancer (leukemia) patients. Larger studies are required to determine whether low 25(OH)D plasma concentrations represent a risk factor for leukemia development and/or progression.

1. Introduction

Vitamin D3 (cholecalciferol) is produced in the epidermis under the influence of UVB and is also consumed from animal foods. In the liver, vitamin D3 undergoes 25-hydroxylation to form 25-hydroxyvitamin D3 [25(OH)D] followed by an additional 1α-hydroxylation in the kidneys which results in the formation of 1α,25-dihydroxyvitamin D3 [1,25(OH)2D3], the active hormonal form. 1,25(OH)2D3 has a critical role in maintaining the level of calcium and phosphorus in the blood and regulating many other processes, both in healthy and cancer cells, including proliferation, differentiation, apoptosis, immune responses, and angiogenesis [1,2]. Mechanistically, 1,25(OH)2D3 exerts most of its biological effects through the activation of the nuclear vitamin D receptor (VDR) transcription factor, which can lead to the activation of more than 1000 genes [3,4].
The vitamin D status in the human body is assessed by measuring blood levels of 25(OH)D, since its serum concentrations are more stable and are less influenced by hormonal mechanisms and by changes in calcium and phosphorus levels, as compared to 1,25(OH)2D3 [5]. There is still no definite consensus on the optimal vitamin D status, and the recommendations provided by different governmental agencies and scientific societies vary to some extent [6]. For instance, the adequate serum 25(OH)D levels recommended by the Institute of Medicine [7] and the Endocrine Society [8] are above 20 (50 nmol/L) and 30 ng/mL (75 nmol/L), respectively. However, most researchers agree that 25(OH)D levels below 10–12 ng/mL (25–30 nmol/L) represent clinical deficiency, which is considered as a global health problem [9,10,11]. Low circulating levels of 25(OH)D have been associated with an increased risk of colorectal and bladder cancers, while for breast, ovarian and prostate cancers, this association appears to be more controversial [12]. Low serum 25(OH)D levels were also associated with poorer prognosis in patients with hematological malignancies, including leukemia and lymphoma, as well as myeloproliferative/myelodysplastic syndromes [13,14,15]. Several studies have shown that some types of malignant hematopoietic cells highly express VDR, implying their responsiveness to vitamin D-based treatment, which may lead to antitumor effects [14].
To date, there have been only two peer-reviewed publications related to vitamin D status in Kazakhstan. Nugmanova et al. [16] reported fairly adequate serum 25(OH)D levels (median, 24.42 ng/mL; range, 16.22–34.10) in the majority of HIV-infected patients under a medical care in the southern city of Almaty. On the other hand, the most recent cross-sectional study has demonstrated that the majority of adult residents of several geographical areas of the country, including Central Kazakhstan, had insufficient levels of vitamin D (<20 ng/mL) and that the lowest levels (<10 ng/mL) were commonly observed in females [17]. The Central Kazakhstan area has a relatively high incidence rate of leukemia [18]; however, the vitamin D status of patients with leukemia or other types of cancer has not yet been addressed in Kazakhstan. As vitamin D insufficiency may be associated with cancer risk, we hypothesized that in the Central Kazakhstan city of Karaganda and the surrounding area, patients with newly diagnosed leukemias might present even lower circulating 25(OH)D concentrations than healthy residents. Thus, we compared plasma 25(OH)D levels and the expression of VDR in peripheral blood mononuclear cells (PBMCs) of yet untreated adult patients with different types of leukemia and matched healthy volunteers. The major finding of this work was that while there was no significant difference in VDR expression between the two groups of participants, the majority of the patients, particularly females, had a vitamin D deficiency (10.8 ± 7.0 ng/mL) compared to a borderline sufficient vitamin D status (21.6 ± 7.8 ng/mL) in healthy male and female subjects (p < 0.0001).

2. Materials and Methods

2.1. Study Subjects

We enrolled 31 adult patients who were admitted to the hematological ward of Karaganda Regional Clinical Hospital (Karaganda, Kazakhstan) with newly diagnosed acute myeloid leukemia (AML), acute lymphoblastic leukemia (ALL), chronic myeloid leukemia (CML) in the chronic phase, and chronic lymphocytic leukemia (CLL). Blood samples for the 25(OH)D and VDR assays (see below) were collected from all enrolled and consented patients prior to beginning of treatment. The demographically matched control group included 34 healthy adult residents of Karaganda and the Karaganda region. Demographic and clinical data of the patients and healthy volunteers are presented in Table 1 and Table 2, respectively. The protocol of the study was approved by the Bioethics Committee of Karaganda Medical University (authorization number 0029; December 23, 2015). All participants gave their written informed consent.

2.2. Blood Samples

Blood samples were collected from patients and healthy volunteers between January 2016 and July 2017. Blood was taken in two sterile evacuated tubes with K3-EDTA as an anticoagulant. One tube was used for the preparation of plasma and the other for the isolation of PBMCs.

2.3. Plasma 25(OH)D Assay

Within 1 h of collection, blood was centrifuged at room temperature at 4,000 rpm, for 15 min. The plasma was withdrawn and transferred into polypropylene tubes. The 25(OH)D concentration was then measured using the 25OH Vitamin D Total ELISA kit, (DIAsource ImmunoAssays, Louvain-la-Neuve, Belgium) according to the manufacturer’s instructions.

2.4. Isolation of Peripheral Blood Mononuclear Cells (PBMC)

Mononuclear cells were isolated from peripheral blood by density gradient centrifugation using a Ficoll-PaqueTM PREMIUM reagent (GE Healthcare Bio-Sciences AB, Uppsala, Sweden), as described previously [19].

2.5. Preparation of Total RNA and Quantitative Reverse Transcription Polymerase Chain Reaction (RT-qPCR)

Total RNA was extracted from mononuclear cells using a RIBO-zol-A kit (AmpliSens, Bratislava, Slovak Republic). The RNA concentration and purity were measured spectrophotometrically on a NanoVue Plus instrument (Biochrom, Cambridge, England). An aliquot of 100 ng of mRNA was used as a template to generate cDNA by a REVERTA-L reverse transcriptase kit (AmpliSens, Bratislava, Slovak Republic). The cDNA samples were then diluted 1:25 prior to the PCR reaction. Quantitative cDNA amplification was performed with 5 μl of the diluted cDNA template in a total volume of 20 μl in a DT-322 real-time PCR cycler (DNA Technology, Moscow, Russia) using SYBR Green I dye (Sigma-Aldrich, St. Louis, MO, USA). The primer sequences (Sigma-Aldrich, Rehovot, Israel) were as follows. VDR [NCBI Gene ID 7421] forward primer (5’-GACCTGTGGCAACCAAGACT-3’), reverse primer (5’-AATCAGCTCCAGGCTGTGTC-3’); RPLP0 (reference gene) (NCBI Gene ID 6175) forward primer (5’-AGATGCAGCAGATCCGCAT-3’), reverse primer (5’-GTGGTGATACCTAAAGCCTG-3’). Standard cycling conditions were: 3 min initial enzyme activation at 94 °C then 42 cycles as follows—5 s at 94 °C and 30 s at the annealing temperature (60 °C for both VDR and RPLP0). The calibrator was the cDNA sample of a healthy volunteer with a high plasma 25(OH)D level. The relative expression level was quantified using the 2-ΔΔCt method [20].

2.6. Statistical Analysis

All measurements in the 25(OH)D and VDR assays were performed in triplicate. The significance of the differences between the means was assessed by nonparametric Mann–Whitney test. Overall survival curves were generated by Kaplan–Meier analysis. A log-rank (Mantel–Cox) test was used to evaluate the significance of differences between participant groups. P < 0.05 was considered statistically significant. The above statistical analyses were carried out by the GraphPad Prism 6.0 program (Graph-Pad Software, San Diego, CA, USA). Power analysis was performed by G*Power software (Version 3.1.9.4, Heinrich Heine Universität, Düsseldorf, Germany), as described previously [21]. Power was computed using post-hoc test based on Mann–Whitney test results and given α (0.05), sample size and effect size. Pooled SD values (σ) were calculated by Microsoft Excel. Power computations are provided in Supplementary Materials. Although high statistical power (0.84–0.99) was obtained for all the comparisons showing statistically significant differences (Figure 1A–C; Figure 2B,C and Figure S1A,B), we are aware that due to a relatively small sample size of the participant (sub)groups these power values may be overestimated.

3. Results

A total of 31 patients (14 men and 17 women) from Karaganda city and Karaganda region were included in this study (Table 1). The median age was 57 years (range: 28–85). Most of these enrolled patients (twenty-five; 80.6%) were those with newly diagnosed CML in the chronic phase (<10% blasts in the bone marrow) who were referred to the DNA Diagnostics Laboratory (the Dippner Health Center, Karaganda) for the RT-qPCR detection of the chimeric BCR-ABL transcript [22] in isolated PBMCs. These patients had an appreciable myeloid hyperplasia in the bone marrow as well as substantial leukocytosis (>100 × 109 WBC/L) with neutrophilia. The diagnosis was confirmed by the presence of the BCR-ABL transcript (Table 1). Four patients had newly diagnosed AML with high percentages of leukemic blasts (45–52%) in the hypocellular bone marrow; and the other two patients had either CLL or ALL (Table 1). For the control group, we selected demographically similar 34 adult residents of the Karaganda region (17 men and 17 women) who did not suffer from chronic diseases or hereditary pathologies (Table 2). The median age of this group was 54 years (range: 26–78). While about 79% of male patients and 56% of male volunteers were current smokers, 16 out of 17 female patients and all 18 healthy women were nonsmokers. There were 48.4% Asians and 51.6% Caucasians in the patient group and 58.8% Asians and 41.2% Caucasians in the healthy volunteer group (Table 1 and Table 2).
The diet history of the participants was not recorded except that it was ascertained that they did not use vitamin D-containing supplements. In addition, overall health assessment did not reveal signs of undernourishment. Body mass index (BMI; kg/m2) distribution (Table 1 and Table 2) was found to be very similar among the patients (26.1 ± 5.2; 95% CI 24.2–28.0; n = 31) and the healthy volunteers (26.4 ± 4.5; 95% CI 24.8–27.9; n = 34). Thus, we generally assumed that the participants consumed foods that are most common in Kazakhstan, i.e., those based on meat, flour and dairy products [17,23] and known to be high in saturated fat, free sugars and salt (HFSS foods) [http://www.euro.who.int/__data/assets/pdf_file/0010/396190/WHO-Nutrition-Kazakhtsan-EN.pdf?ua=1].
As shown in Figure 1A, the average plasma 25(OH)D concentration in leukemia patients (10.8 ± 7.0 ng/mL; 95% CI 8.3–13.4; n = 31) was considerably lower (p < 0.0001) compared to that in healthy subjects (21.6 ± 7.8 ng/mL; 95% CI 18.9–24.3; n = 34). When analyzed separately, CML patients and the small group of non-CML patients (Table 1) demonstrated similar reduced vitamin D levels (10.3 ± 6.3 ng/mL; n = 25 vs. 13.3 ± 9.8 ng/mL; n = 6). We then compared 25(OH)D concentrations in the blood samples from patients and healthy individuals collected during the colder season (October-April) and the warmer season (May-September) in the Karaganda region (https://weatherspark.com/y/107797/Average-Weather-in-Karagandy-Kazakhstan-Year-Round). The comparison showed no significant seasonal variation in vitamin D status within the same participant groups, i.e., 10.84 ± 7.69 ng/mL; 95% CI 7.24–14.43 (n = 20) vs. 10.87 ± 5.90 ng/mL; 95% CI 6.91–14.84 (n = 11) for the patients and 21.44 ± 8.87 ng/mL; 95% CI 17.17–25.72 (n = 19) vs. 21.83 ± 6.43 ng/mL; 95% CI 18.27–25.39 (n = 15) for the healthy subjects during October-April vs. May-September, respectively. However, similar to the data shown in Figure 1A, marked significant differences were observed when 25(OH)D levels were compared between the patients and healthy controls during both the colder (Figure 1B; p = 0.0003) and the warmer (Figure 1C; p = 0.0002) seasons.
Since the median age of patients and healthy volunteers was close to 60, the participants of <60 years were considered the “younger” group and those of >60 years the “older” group. No significant difference in 25(OH)D levels was observed between the younger (n = 18) and older (n = 13) patients (Figure 2A). On the other hand, as shown in Figure 2B, the younger healthy adults had significantly higher (p = 0.0007) concentrations of this vitamin D derivative (25.5 ± 5.1 ng/mL; 95% CI 23.0–27.9; n = 19) than the older ones (16.7 ± 7.9 ng/mL; 95% CI 12.3–21.1; n = 15). Comparison of the vitamin D status in younger patients vs. younger healthy participants and in older patients vs. older healthy participants revealed significantly lower 25(OH)D plasma concentrations in patients of both age groups (Figure S1). When gender-related differences were examined (Figure 2C), it was found that the female patients had significantly lower 25(OH)D concentrations (7.7 ± 4.2 ng/mL; 95% CI 5.5–9.9; n = 17) than the male patients (14.7 ± 7.9 ng/mL; 95% CI 10.1–19.2; n = 14; p = 0.004). However, there was no significant differences in plasma 25(OH)D levels between healthy men and women (Figure 2D).
As shown in Figure 3, there was practically no correlation between BMI and 25(OH)D blood levels in the patient group, though the volunteer group demonstrated a weak inverse relationship between these parameters (r = −0.217; p = 0.22). A similar, though statistically significant, inverse relationship has been reported in previous studies involving larger cohorts of healthy subjects [24,25,26].
Consistent with the data showing lower 25(OH)D levels in patients than in healthy volunteers in general (Figure 1), Asian patients had a pronounced vitamin D deficiency (10.71 ± 5.93 ng/mL; 95% CI 7.43–14.00; n = 15) compared to Asian volunteers (23.21 ± 6.70 ng/mL; 95% CI 20.07–26.35; n = 20; p < 0.0001). Likewise, Caucasian patients had reduced 25(OH)D concentrations (10.98 ± 8.07 ng/mL; 95% CI 6.67–5.28; n = 16) compared to a borderline-normal vitamin D status in healthy Caucasian subjects (19.33 ± 8.85 ng/mL; 95% CI 14.22–24.44; n = 14; p = 0.012). Otherwise, there was no significant difference in circulating 25(OH)D levels between Asians and Caucasians within each of the two participating cohorts, i.e., patients or volunteers (see above).
We did not observe a significant influence of tobacco use on vitamin D status. For instance, nonsmoking and smoking male volunteers had comparable 25(OH)D levels—21.60 ± 8.65 ng/mL; 95% CI 13.60–29.60 (n = 7) and 19.10 ± 8.47 ng/mL; 95% CI 12.59–25.61 (n = 9), respectively. Similar, though slightly lower, 25(OH)D concentrations were measured in smoking male patients (16.86 ± 7.55 ng/mL; 95% CI 11.79–21.93; n = 11). On the other hand, 16 out of 17 female patients who were nonsmokers had the lowest 25(OH)D levels among all the participants (Table 1 and Table 2; Figure 2C), whereas healthy nonsmoking women had fairly normal 25(OH)D concentrations, which were even slightly higher than those found in healthy men (Table 2; Figure 2D).
Vitamin D intervention studies have demonstrated that elevation of circulating 25(OH)D levels results in increased VDR transcriptional activity in PBMCs, which are the easiest available vitamin D-responsive primary human cell types [27,28]. Furthermore, it has been shown that VDR expression in white blood cells can be dose-dependently upregulated by vitamin D derivatives [29,30]. To examine whether plasma vitamin D concentrations of our study participants would correlate with their cellular VDR expression, we measured VDR mRNA levels in PBMCs isolated from those individuals who consented to the latter assay. Using one of the healthy subject’s cDNA sample as a calibrator (see Materials and Methods), we found very similar VDR expression levels in patients with leukemia and healthy individuals (Figure 4A). Furthermore, no correlation between VDR expression and plasma 25(OH)D levels was observed in either the patients (r = 0.056; Figure 4B) or the healthy subjects (r = 0.064; Figure 4C) that participated in this study.
The patients were followed up till November, 2019, or death. All the patients with acute leukemias (n = 5; Table 1) died within 1–3 months. Overall survival curves for patients with CML, the largest group of the participants, are presented in Figure 5. The data demonstrate a somewhat better survival rate for the patients whose plasma 25(OH)D levels were found to be >10 ng/mL (n = 9) compared to those with lower 25(OH)D levels (<10 ng/mL; n = 16). However, the difference between the two CML subsets was not significant (p = 0.45), most likely due to limited numbers of participants. Furthermore, comparison between the patients with all types of leukemia showed practically the same low plasma 25(OH)D concentrations for both survivors and nonsurvivors (10.81 ± 6.64 ng/mL; 95% CI 7.50–14.11; n = 18 vs. 10.91 ± 7.75 ng/mL; 95% CI 6.23–15.59; n = 13). Although relative VDR expression in PBMCs varied among the tested patients, the survivors did not present significantly higher expression levels compared to the nonsurvivors (0.91 ± 0.18; 95% CI 0.79–1.02; n = 13 vs. 0.84 ± 0.16; 95% CI 0.70–0.98; n = 7; p = 0.34; Table 1).

4. Discussion

The major finding of the present small-scale single-center pilot study conducted in Kazakhstan for the first time is that the participating adult patients with leukemia, who were admitted to the Karaganda Regional Clinical Hospital, had substantially lower plasma levels of vitamin D (measured as 25(OH)D) compared to a demographically similar control group of adult healthy residents of the same region. Moreover, the majority of the patients, especially the female ones, had severe vitamin D deficiency (<10–12 ng/mL), in accordance with the international consensus [6]. On the other hand, we did not observe a significant influence of age, BMI, smoking habits or ethnicity on the patient vitamin D status. Interestingly, although it has been widely reported that there is a seasonal pattern of vitamin D status in populations, particularly in temperate regions of the world (e.g., [31,32]), we also did not observe seasonal variations of 25(OH)D levels in either the patient or the healthy control group. This finding indicates that the difference in vitamin D status between the patients and healthy subjects who participated in this study is not related to seasonality. The lack of seasonal 25(OH)D changes in vitamin D-deficient patients with cancer [33] and other diseases (e.g. [34,35,36]) has been previously reported. There may be several reasons for such a phenomenon, including limited outdoor activity, low dietary intake of vitamin D and higher rates of 25(OH)D metabolism in patients which may affect its residence time in the blood. The fact that seasonal changes in 25(OH)D were not detected in our healthy control group is puzzling and needs to be re-estimated in a larger and more detailed study.
Low vitamin D levels are frequently associated with an increased risk and worse clinical outcome of cancers (e.g. [37,38]), including hematological malignancies [13,14]. Thus, our data are consistent with those previously reported by other research groups for patients with different types of leukemia. For instance, Lee et al. [39] have shown that serum 25(OH)D levels in 30% of 105 patients with newly diagnosed AML were below 20 ng/mL (defined by the authors as vitamin D deficiency), which was associated with worse relapse-free survival compared to those patients who had normal vitamin D status. Similar low levels of 25(OH)D were detected by Thomas et al. [40] in many patients with various hematological diseases (acute and chronic leukemias, chronic lymphoid disorders, etc.). This was also inversely correlated with the response to therapy.
Although the above and other published studies related to blood cancers (e.g. [13]) did not include control groups of healthy individuals, it was reported that patients with nonmalignant hematological disorders, such as autoimmune hemolytic anemia, immune thrombocytopenic purpura or chronic idiopathic neutropenia, had decreased 25(OH)D levels compared to healthy individuals [41]. Several reports demonstrated the lack of correlation between vitamin D levels and age of patients or healthy individuals (e.g. [30,40]); however, we observed an inverse correlation in healthy subjects, i.e., the younger adults (>60 years old) had significantly higher plasma 25(OH)D levels (25.5 ± 5.1 ng/mL) than the older ones (16.7 ± 7.9 ng/mL).
The role of VDR in carcinogenesis and outcomes of hematopoietic malignancies remains poorly studied, though high expression of VDR has been described in several lymphoid cancers [42,43,44]. In the present study, we found no significant differences in VDR expression between patients and healthy volunteers and a lack of correlation between VDR expression and plasma 25(OH)D levels. In addition, there was no correlation between the age of patients and the VDR mRNA levels in their cells (r = −0.29), which is similar to the data obtained by Coleman et al. [30] in healthy donors (r = −0.23). Further, relative VDR expression in PBMCs of the patients who were alive at the end of the follow-up period did not significantly differ from that in the nonsurvivors. More studies are needed to determine a possible association between VDR levels and the risk of leukemia development and/or disease prognosis.
Due to the lack of large population-based vitamin D studies in Kazakhstan, it is unclear if high incidence rates of leukemia in the Karaganda region observed during 2003–2013 [18] are related to the prevalence of vitamin D deficiency in Central Kazakhstan [17]. Leukemia incidence in this area may be influenced by multiple important factors, including its proximity to the former Semipalatinsk nuclear test site and high levels of toxic air pollutants [45]. Although our present pilot study is observational and involves small numbers of participants, it provides initial findings that warrant a larger and more detailed investigation into the possible contribution of vitamin D deficiency to high incidence of leukemia in Central Kazakhstan and other regions of the country.
Causality between vitamin D deficiency and the development, progression or curability of cancer/leukemia is hard to prove and remains a matter of debate (see [38,46] for recent reviews). Observational studies are generally unable to determine whether vitamin D is causally associated with cancer incidence or mortality, whereas previous small-scale randomized controlled trials (RCTs) of vitamin D supplementation and cancer incidence and mortality produced inconsistent results. Several recent large-scale long-term RCTs, such as VITAL [47] and ViDA [48], initially showed that supplementation with vitamin D did not result in a lower incidence of invasive cancer. However, updated secondary analyses of VITAL and other RCTs revealed that supplementation significantly reduced not only total cancer mortality [49] but also total cancer incidence in certain participant subgroups [38,47]. Importantly, a secondary analysis of data from the Women’s Health Initiative Calcium/Vitamin D (CaD) has also shown protective associations between calcium/vitamin D supplementation and risk of hematopoietic malignancies in older women [50]. Only few studies investigated the effect of postdiagnosis supplementation with vitamin D on survival of patients with cancer. For instance, a large study conducted in Ireland demonstrated that supplementation was associated with a reduction in breast cancer-specific mortality [51]. In another study, treatment with 25(OH)D combined with the iron chelator deferasirox resulted in an increase in median survival of elderly patients with AML compared to those receiving best supportive care [52].
One limitation of VITAL and ViDA was that the mean baseline 25(OH)D concentrations of the participants were in the normal range, e.g., 30.8 ± 10 ng/mL for VITAL [47]. Therefore, it is likely that if conducted in countries such as Kazakhstan, with “naturally” vitamin D deficient/insufficient populations, similar long-term RCTs and studies of de novo vitamin D supplementation in postdiagnosis patients would have much greater power in evaluating the role of vitamin D in cancer/leukemia risk, progression and mortality.

5. Conclusions

Our pilot study demonstrated that in Central Kazakhstan, the majority of patients with leukemia, particularly females, had severe vitamin D deficiency while the matched healthy control group showed a borderline sufficient vitamin D status. These findings warrant further investigation of the role of vitamin D deficiency in high incidence of leukemia in Kazakhstan. We believe that countries such as Kazakhstan, with “naturally” vitamin D deficient/insufficient populations may represent ideal sites for long-term RCTs of vitamin D supplementation in healthy individuals and patients with neoplasia to elucidate the role of vitamin D in cancer risk, progression and mortality.

Supplementary Materials

The following are available online at https://www.mdpi.com/2072-6643/12/5/1229/s1, Figure S1: Plasma 25(OH)D levels in younger and older patients with leukemia and healthy subjects.

Author Contributions

Conceptualization, M.D., K.L. and G.P.P.; methodology, K.L., and A.A.K.; data analysis, M.D., A.G.Z. and M.Y.I.; investigation, A.G.Z., Y.A.L. and K.L.; writing—original draft preparation, M.D. and A.G.Z.; writing—review and editing, M.D.; supervision, G.P.P. and M.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

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Nutrients 12 01229 g001 550
Figure 1. Plasma 25(OH)D levels in blood samples of patients with leukemia and healthy subjects taken during colder and warmer seasons. Comparison between: (A) all the participated patients (n = 31) and healthy subjects (n = 34); (B) patients (n = 20) and healthy subjects (n = 19) in October-April; and (C) patients (n = 11) and healthy subjects (n = 15) in May-September. Data are the means (long horizontal lines) ± SD. ***, p < 0.001; ****, p < 0.0001.
Figure 1. Plasma 25(OH)D levels in blood samples of patients with leukemia and healthy subjects taken during colder and warmer seasons. Comparison between: (A) all the participated patients (n = 31) and healthy subjects (n = 34); (B) patients (n = 20) and healthy subjects (n = 19) in October-April; and (C) patients (n = 11) and healthy subjects (n = 15) in May-September. Data are the means (long horizontal lines) ± SD. ***, p < 0.001; ****, p < 0.0001.
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Figure 2. Plasma 25(OH)D levels in blood samples of patients with leukemia and healthy subjects of different age and gender. Comparison between: (A) younger (n = 18) and older (n = 13) patients; (B) younger (n = 19) and older (n = 15) healthy subjects, (C) male (n = 14) and female (n = 17) patients; and (D) male (n = 17) and female (n = 17) healthy subjects. Data are the means (long horizontal lines) ± SD. **, p < 0.01; ***, p < 0.001; ns, not significant; y.o., years old.
Figure 2. Plasma 25(OH)D levels in blood samples of patients with leukemia and healthy subjects of different age and gender. Comparison between: (A) younger (n = 18) and older (n = 13) patients; (B) younger (n = 19) and older (n = 15) healthy subjects, (C) male (n = 14) and female (n = 17) patients; and (D) male (n = 17) and female (n = 17) healthy subjects. Data are the means (long horizontal lines) ± SD. **, p < 0.01; ***, p < 0.001; ns, not significant; y.o., years old.
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Figure 3. Relationship between plasma 25(OH)D levels and BMI in patients with leukemia and healthy subjects. Bivariate (Pearson) correlation analysis (31 patients and 34 healthy volunteers); r, correlation coefficient.
Figure 3. Relationship between plasma 25(OH)D levels and BMI in patients with leukemia and healthy subjects. Bivariate (Pearson) correlation analysis (31 patients and 34 healthy volunteers); r, correlation coefficient.
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Figure 4. Vitamin D receptor (VDR) expression in peripheral blood mononuclear cells (PBMC) vs. 25(OH)D levels in the plasma of patients with leukemia and healthy subjects. (A) Comparison of VDR expression between patients (n = 20) and healthy individuals (n = 19). Data are the means (long horizontal lines) ± SD. Correlation analysis of VDR expression and 25(OH)D levels in patients (B) and healthy subjects (C); ns, not significant; r, correlation coefficient.
Figure 4. Vitamin D receptor (VDR) expression in peripheral blood mononuclear cells (PBMC) vs. 25(OH)D levels in the plasma of patients with leukemia and healthy subjects. (A) Comparison of VDR expression between patients (n = 20) and healthy individuals (n = 19). Data are the means (long horizontal lines) ± SD. Correlation analysis of VDR expression and 25(OH)D levels in patients (B) and healthy subjects (C); ns, not significant; r, correlation coefficient.
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Figure 5. Overall survival of patients with chronic myeloid leukemia (CML). Kaplan–Meier analysis with a log-rank (Mantel–Cox) test.
Figure 5. Overall survival of patients with chronic myeloid leukemia (CML). Kaplan–Meier analysis with a log-rank (Mantel–Cox) test.
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Table
Table 1. Characteristics of participating patients (n = 31).
Table 1. Characteristics of participating patients (n = 31).
No.SexAgeEthnicityBMI aTobacco Use25(OH)D
ng/mL		25(OH)D
Test Date		VDR b
(RQ) c		DiagnosisClinical/Laboratory DataTreatmentSurvival (Months) j
1F40Caucasian22.1No1.31March 20160.90CML eBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC i/L)NilotinibLTS k
2F78Asian29.3No1.67March 20160.65CMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)Nilotinib10
3F61Caucasian27.5No4.00March 20160.66CMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)NilotinibLTS
4F78Asian31.1No4.55June 2017ND dCMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)Imatinib10
5M85Caucasian25.6No5.72June 2017NDCMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)Imatinib3
6F48Asian20.3No6.24February 20161.30CMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)NilotinibLTS
7F46Caucasian23.6No7.19March 20160.96CMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)NilotinibLTS
8F53Caucasian20.5No7.24June 20170.78CMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)ImatinibLTS
9F39Caucasian21.3No8.22May 20171.13CMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)ImatinibLTS
10F65Caucasian42.0Yes8.36October 20160.95CMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)Imatinib9
11F68Asian25.9No8.51June 2017NDCMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)Nilotinib12
12M28Caucasian20.9No8.72November 20160.62CMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)ImatinibLTS
13F53Asian20.6No8.74December 2016NDCMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)NilotinibLTS
14F62Asian30.5No9.20June 2017NDCMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)ImatinibLTS
15M56Asian20.7Yes9.27February 20161.03CMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)HydroxyureaLTS
16M57Caucasian25.0Yes9.89April 20160.75CMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)Imatinib7
17M39Asian25.6No10.25June 20170.92CMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)NilotinibLTS
18M65Asian20.7Yes11.25May 2017NDCMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)ImatinibLTS
19F53Asian28.3No11.79June 2017NDCMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)NilotinibLTS
20M72Caucasian28.3Yes12.92February 20160.77CMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)Imatinib12
21M58Caucasian29.3Yes12.92November 2016NDCMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)NilotinibLTS
22M76Asian22.5Yes17.65May 2017NDCMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)Nilotinib1
23M42Asian25.6Yes18.91April 20160.79CMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)ImatinibLTS
24M43Asian24.2Yes25.22June 20170.95CMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)NilotinibLTS
25M43Caucasian25.1Yes26.78October 20160.92CMLBcr-Abl transcript; chronic phase; myeloid hyperplasia, leukocytosis (>100 × 109 WBC/L)ImatinibLTS
26F73Caucasian25.7No4.66December 2016NDAML fLow bone marrow (BM) cellularity; ~52% blasts in the BM; myelosuppressionCytarabine + doxorubicin 1
27F68Asian21.5No10.22November 20161.10AMLLow BM cellularity; ~50% blasts in the BM; myelosuppression; breast cancer 2 years before AMLCytarabine + doxorubicin 3
28F54Caucasian33.3No19.53February 20160.74AMLLow BM cellularity; ~45% blasts in the BM; myelosuppression. M0 subtype with CD7 co-expressionCytarabine + doxorubicin 3
29M59Caucasian23.8Yes30.43December 20160.92AMLLow BM cellularity; ~51% blasts in the BM; myelosuppressionCytarabine + doxorubicin 3
30M59Asian30.5Yes7.24March 2016NDCLL gB-cell CLL (CD19+/CD5+/CD23−/CD200+/CD22+/CD20+/CD43+/CD38+/CD79b−/CD10−/FMC7−); leukocytosis (17,000 WBC/µl) with absolute lymphocytosis; ~2% prolymphocytes and 9% atypical lymphocytes in the blood; moderate BM cellularity.ImatinibLTS
31F68Caucasian37.5No7.74March 20160.82ALL hPre-B (BIII) ALL (cytIgM+/sIgM−/CD19+/CD10+/CD34+/HLADR+/cytCD22+/ sCD22dim/CD20dim/CD7−/CD13−/CD33−/MPO−); ~44% blasts in the BM; low BM cellularity.Imatinib1
a BMI, body mass index; b VDR, vitamin D receptor; c RQ, relative quantification; d ND, not determined; e CML, chronic myeloid leukemia; f AML, acute myeloid leukemia; g CLL, chronic lymphocytic leukemia; h ALL, acute lymphoblastic leukemia; i WBC, white blood cells; j Survival since the start of treatment; k LTS, long-term survivor.
Table
Table 2. Characteristics of healthy volunteers (n = 34).
Table 2. Characteristics of healthy volunteers (n = 34).
Men Women
No.AgeEthnicityBMITobacco Use25(OH)D
ng/mL		25(OH)D
Test Date		No.AgeEthnicityBMITobacco Use25(OH)D
ng/mL		25(OH)D
Test Date
171Caucasian22.3No8.34October 20171878Caucasian24.0No4.52December 2016
274Caucasian35.8Yes10.23March 20161971Caucasian34.8No15.23June 2017
368Asian30.9Yes11.24April 20172070Caucasian21.0No15.84May 2016
468Asian30.7Yes12.46June 20172126Caucasian21.0No17.26July 2016
565Asian23.6Yes12.88May 20162255Asian22.3No19.56May 2016
660Caucasian28.3Yes14.15February 20162364Caucasian30.1No20.75February 2017
763Asian34.2No15.11November 20162442Asian27.2No21.95October 2017
848Asian22.3No19.26May 20172533Asian24.6No22.05November 2016
977Caucasian25.7No21.34April 20162635Caucasian24.1No23.21November 2017
1052Asian21.9No22.83October 20162736Asian27.8No23.33September 2016
1148Asian27.6No22.84May 20162836Asian32.6No23.45June 2017
1232Caucasian32.5Yes25.20April 20172952Asian25.0No26.23June 2016
1348Asian21.2Yes25.90June 20163063Asian24.5No26.70March 2017
1453Caucasian29.7Yes27.80October 20163168Asian25.4No30.53June 2017
1558Asian20.6No31.66April 20163253Caucasian20.6No30.63June 2016
1641Asian32.3Yes32.02June 20163375Asian24.7No31.56April 2016
1748Asian26.5No32.68October 20163430Caucasian21.8No36.10March 2016

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Zhumina, A.G.; Li, K.; Konovalova, A.A.; Li, Y.A.; Ishmuratova, M.Y.; Pogossyan, G.P.; Danilenko, M. Plasma 25-Hydroxyvitamin D Levels and VDR Gene Expression in Peripheral Blood Mononuclear Cells of Leukemia Patients and Healthy Subjects in Central Kazakhstan. Nutrients 2020, 12, 1229. https://doi.org/10.3390/nu12051229

AMA Style

Zhumina AG, Li K, Konovalova AA, Li YA, Ishmuratova MY, Pogossyan GP, Danilenko M. Plasma 25-Hydroxyvitamin D Levels and VDR Gene Expression in Peripheral Blood Mononuclear Cells of Leukemia Patients and Healthy Subjects in Central Kazakhstan. Nutrients. 2020; 12(5):1229. https://doi.org/10.3390/nu12051229

Chicago/Turabian Style

Zhumina, Assel G., Konstantin Li, Anna A. Konovalova, Yelena A. Li, Margarita Yu. Ishmuratova, Gayane P. Pogossyan, and Michael Danilenko. 2020. "Plasma 25-Hydroxyvitamin D Levels and VDR Gene Expression in Peripheral Blood Mononuclear Cells of Leukemia Patients and Healthy Subjects in Central Kazakhstan" Nutrients 12, no. 5: 1229. https://doi.org/10.3390/nu12051229

APA Style

Zhumina, A. G., Li, K., Konovalova, A. A., Li, Y. A., Ishmuratova, M. Y., Pogossyan, G. P., & Danilenko, M. (2020). Plasma 25-Hydroxyvitamin D Levels and VDR Gene Expression in Peripheral Blood Mononuclear Cells of Leukemia Patients and Healthy Subjects in Central Kazakhstan. Nutrients, 12(5), 1229. https://doi.org/10.3390/nu12051229

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