Association of CYP24A1 with survival and drug resistance in clinical cancer patients: a meta-analysis
BMC Cancer volume 22, Article number: 1317 (2022)
Acquired chemo-drug resistance constantly led to the failure of chemotherapy for malignant cancers, consequently causing cancer relapse. Hence, identifying the biomarker of drug resistance is vital to improve the treatment efficacy in cancer. The clinical prognostic value of CYP24A1 remains inconclusive, hence we aim to evaluate the association between CYP24A1 and the drug resistance in cancer patients through a meta-analysis approach.
Relevant studies detecting the expression or SNP of CYP24A1 in cancer patients up till May 2022 were systematically searched in four common scientific databases including PubMed, EMBASE, Cochrane library and ISI Web of Science. The pooled hazard ratios (HRs) indicating the ratio of hazard rate of survival time between CYP24A1high population vs CYP24A1low population were calculated. The pooled HRs and odds ratios (ORs) with 95% confidence intervals (CIs) were used to explore the association between CYP24A1’s expression or SNP with survival, metastasis, recurrence, and drug resistance in cancer patients.
Fifteen studies were included in the meta-analysis after an initial screening according to the inclusion and exclusion criteria. There was a total of 3784 patients pooled from all the included studies. Results indicated that higher expression or SNP of CYP24A1 was significantly correlated with shorter survival time with pooled HRs (95% CI) of 1.21 (1.12, 1.31), metastasis with pooled ORs (95% CI) of 1.81 (1.11, 2.96), recurrence with pooled ORs (95% CI) of 2.14 (1.45, 3.18) and drug resistance with pooled HRs (95% CI) of 1.42 (1.17, 1.68). In the subgroup analysis, cancer type, treatment, ethnicity, and detection approach for CYP24A1 did not affect the significance of the association between CYP24A1 expression and poor prognosis.
Findings from our meta-analysis demonstrated that CYP24A1’s expression or SNP was correlated with cancer progression and drug resistance. Therefore, CYP24A1 could be a potential molecular marker for cancer resistance.
Drug resistance contributes to the failure of chemotherapy and the subsequent relapse in cancer treatment, eventually causing the death of patients [1,2,3]. Identification of the resistance biomarker or signaling pathway provides a target to revert the resistant cancer cells to sensitive cells which can then be eliminated by the chemo-drugs effectively. Accumulating evidence reveals that the metabolism of cancer cells is intimately associated with drug resistance, one of the most critical challenges in cancer treatment . From epidemiological studies, vitamin D insufficiency is proven to have an etiological impact in various human cancers [5,6,7]. Preclinical and clinical studies demonstrated that the metabolites of vitamin D are preventative and are potential therapeutic anticancer agents [8,9,10,11].
Vitamin D signaling has been shown to increase sensitivity of cancers to chemo-drugs [12,13]. Consistently, our previous study demonstrated that vitamin D signaling was associated with chemo-resistance of cancer . Physiologically, vitamin D3 is metabolized to 25(OH)D3 to produce 1α,25(OH)2D3, which is also known as calcitriol. Calcitriol is the active form of the hormone that binds to the specific nuclear vitamin D receptor (VDR), which classically regulates gene expression through binding to the DNA promoter [15,16]. The genes activated by calcitriol/VDR binding are normally involved in regulating proliferation, apoptosis, differentiation, and angiogenesis capabilities of cancers [17,18,19,20], which are correlated with the resistance of cancer cells. Preclinically, calcitriol has been examined for its therapeutic efficacy in chemo-prevention and anticancer activity [21,22,23]. The degradation of calcitriol abrogates the VDR signaling and promotes the cancer progression .
The mitochondrial inner-membrane cytochrome P450 enzyme, 25-hydroxyvitamin D 24-hydroxylase, encoded by CYP24A1, catalyzes conversion of 25(OH)D3 and calcitriol to inactive metabolites [25,26]. Therefore, CYP24A1 plays a role to inhibit the level of calcitriol and the VDR signaling. CYP24A1 was highly unregulated in various cancer types, including lung, colon, and ovarian tumors [27,28,29]. In several clinical studies, higher expression of CYP24A1 was shown to be correlated with poor prognosis of various cancer types [30,31,32]. However, there are also other studies suggesting that CYP24A1 had no significant correlation with the overall survival rate among lung cancer patients . Therefore, the association of CYP24A1 expression with the prognosis remains uncertain and needs to be conclusively studied. Additionally, there are also few studies which revealed the polymorphisms of CYP24A1 that were associated with cancer risk and poor prognosis of patients [34,35]. This indicates that the SNP of CYP24A1 might influence the expression or function of CYP24A1, which could potentially impact the cancer occurrence and the prognosis of patients. In our previous study, we had identified CYP24A1 as a potential resistance biomarker for various cancer types. However, the clinical significance of CYP24A1 in prognosis and drug resistance requires further investigation. Hence, a meta-analysis of eligible studies was conducted to determine the association of CYP24A1 expression with the prognosis of cancer patients and the resistance to chemotherapy to clarify the exact prognostic value of CYP24A1 in drug resistance prognosis.
Materials and methods
Publication search strategy
Potentially relevant publications were exhaustively searched using a combined medical subheading (MeSH) term in several databases, including PubMed, EMBASE, Cochrane library and ISI Web of Science up to May 2022 with no lower limitation set for the date of publication. MeSH terms related to CYP24A1 (or CYP24*) in combination with words related to cancer (cancer* or adenocarcinoma* or carcinoma* or tumor*), as well as terms related to patient* (or clinic*) were used to retrieve eligible studies.
Study selection criteria
Studies were screened and selected according to the following criteria: (1) study subject involved human patients; (2) the studies had to measure the CYP24A1 expression level or the SNP which was associated with cancer risk; (3) the studies had to present the overall survival curve data or present the HRs with 95% CIs. Meanwhile, studies were excluded if they met the following criteria: (1) duplicated studies or studies with a repeated analysis; (2) letters, reviews, case reports or conference; (3) study subject involve cell lines or xenografted animals with patient-derived cancer cells; (4) CYP24A1 SNP with unknown function.
The articles that have fulfilled both inclusion and exclusion criteria were included and reviewed thoroughly by two investigators (X.W. and Z.R.) independently, where vital information were extracted. Any disagreement was discussed and a consensus was reached for all issues. The following information was collected from each study: first author’s name, year of publication, cancer type, ethnicity, the detection approach for CYP24A1, sample size, number of CYP24A1high/SNP, number of CYP24A1low/WT, treatment, outcome (overall survival), P value, HRs (the survival time of CYP24A1high/SNP population vs CYP24A1low/WT population) with 95% CIs from multivariate analysis.
The quality of the included studies in meta-analysis was assessed using the Newcastle–Ottawa quality assessment scale (NOS) . The scale includes eight items with three sections: (1) selections [four items, one star for each item], (2) comparability [one item, two stars], and (3) outcome [three items, one star for each item]. Each item was scored after careful evaluation of the studies and the total scores were calculated to quantitatively assess their quality. The highest scores were nine that indicates highest quality while lowest scores were zero that represents lowest quality. Inconsistencies during scoring process from two independent researchers were discussed to reach a consensus agreement.
The pooled hazard ratios (HRs) indicate the ratio of hazard rate of survival time between CYP24A1high population vs CYP24A1low population. The pooled HRs were calculated using HRs with their 95% CIs obtained from the studies in metan package. When the HR data was unavailable in the articles directly, a mathematical estimation based on the survival curve was performed according to the previously published methods demonstrated by Tierney et al. [37,38,39]. The pooled HRs with 95% CIs were used to evaluate the effect of CYP24A1 expression on the survival time and drug resistance of patients. A pooled HRs > 1 implies that the patients with high expression or SNP of have shorter survival time and are resistant to the drugs. The heterogeneity of included studies in the pooling model was tested using Cochran’s Q test (pheter < 0.05 shows significant heterogeneity) and the I2 statistic (I2 ≤ 50% shows no or moderate heterogeneity and I2 > 50% shows strong heterogeneity). The random-effects model was used in the analysis to avoid significant heterogeneity (pheter < 0.05 and I2 > 50%). A sensitivity analysis was conducted to evaluate the stability of the pooling model for pooled HRs by eliminating one study at a time in a sequential manner. The funnel analysis was conducted to estimate publication bias using Begg’s test, with p < 0.05 considered as significant. All statistical analysis was performed using STATA software, version 16.0 (STATA Corporation, College Station, TX, USA). All p values shown were for two-tailed tests.
Literature search results
A total of 1485 original articles were extracted from the initial search. From the total articles, 506 records were excluded due to duplicated records. 431 records were excluded such as cases/report/reviews, conferences, books/letters, non-relevant records including patents, notes, news and surveys. 260 records were further removed after reviewing the abstract and key words, such as the records unrelated to CYP24A1, the studies using cell lines and mice models. Further refining of studies selection had excluded another 273 records. Finally, 15 studies were selected for meta-analysis. A detailed screening process was illustrated as shown in Fig. 1.
Characteristics and quality assessment of the included studies
The major characteristics of the included studies were tabulated in Table 1. Large number of population samples consisting of 3,784 patients were included from fifteen selected studies. Out of the fifteen studies, the sample size of nine studies is consisted of more than 100 patients. The HRs data of survival time or survival curve of patients was presented in all those studies. Seven out of the fifteen articles studied on lung cancer while the other articles investigated on colorectal cancer (CRC), breast cancer, hepatocellular carcinoma, esophageal cancer, as well as head and neck cancer as shown in Table 1. The patient sample from three out of fifteen articles were from China while the patient sample from another two out of fifteen articles were from North America, as shown in Table 1. CYP24A1 was evaluated at the protein level in four of the studies while four of the studies examined at the mRNA level. Meanwhile, the five studies utilized RT-qPCR to detect the SNP of CYP24A1 which was demonstrated to be associated with cancer risk. Additionally, five of those studies revealed the patients who were under drug treatment. The quality of all the included studies was assessed according to the NOS scale [36,40]. Among those 15 studies, 12 of them scored 8 whereas 3 of them scored 7 as shown in Table 1. The results showed that all the included studies were of high quality.
High expression of CYP24A1 was correlated to poor prognosis of cancer patients.
Those 15 selected articles were subjected to multivariate analysis, where random-effects model was used to pool the effect of the CYP24A1 expression on the survival of patients. The pooled HRs (95% CIs) was determined to be 1.18 (1.07, 1.28) in the CYP24A1high population as compared to the CYP24A1low populations where CYP24A1 expression was evaluated at protein level, mRNA level and methylation level (Fig. 2A), indicating that the patients with higher expression of CYP24A1 had a shorter survival time. Afterwards, the HRs (95% CIs) of the populations carrying SNP with certain function in cancer risk were pooled and calculated to be 1.42 (1.16, 1.68) (Fig. 2B), demonstrating that the polymorphisms of CYP24A1 which were correlated to cancer risk were positively associated with poorer prognosis. Finally, the HRs (95% CI) of those 15 studies were pooled and our findings showed that pooled HRs was higher than 1 at 1.21 (1.12, 1.31) (Fig. 2C). This indicates that high expression or SNP of CYP24A1 in cancers led to a shorter survival time. Therefore, these results revealed a significant correlation between CYP24A1 expression and a reduced survival time of cancer patients.
High expression of CYP24A1 was correlated to incidence of metastasis and recurrence of cancer.
Among the CYP24A1high and CYP24A1low populations, the patients included in four of the studies were presented with node metastasis whereas 2 of the studies were identified with recurrence after treatment (Table 2). Since metastasis and recurrence could be correlated to cancer resistance, we calculated and pooled the ORs (odds ratio) of metastasis and recurrence in the CYP24A1 subpopulation to evaluate the effect of CYP24A1 expression on drug resistance. The pooled ORs (95% CIs) were determined to be 1.81 (1.11, 2.96) and 2.14 (1.45, 3.18) for metastasis and recurrence, respectively (Fig. 3A and Fig. 3B). Both pooled ORs and the lower 95% CI values were higher than 1, hence indicating that higher expression of CYP24A1 had indeed promoted the cancer metastasis and recurrence.
High expression or SNP of CYP24A1 was correlated to drug resistance of cancer patients.
To investigate whether drug treatment caused the higher expression of CYP24A1, we had extracted the patients who were under chemotherapeutics among the CYP24A1 groups from 3 different studies (Table 2). The OR was calculated and the pooled ORs was determined to be 1.23 (0.96, 1.57) (Fig. 3C). The revealed data demonstrated that the expression of CYP24A1 in treatment group was higher than the non-treatment group, therefore, suggesting that the drug treatment might promote the increase of CYP24A1 expression. To further confirm that the higher expression of CYP24A1 was actually correlated to drug resistance, we then analyzed the pooled HRs of the survival time in the patients who were treated with drugs in 5 studies and found that the pooled HR (95% CI) was 1.42 (1.17, 1.68) in the treatment subgroup (Fig. 4, Table 3). The results showed that the patients with higher expression or SNP of CYP24A1 had a shorter survival time after treated with drugs, which indicated that elevated expression or SNP of CYP24A1 was highly correlated with the drug resistance.
The subsequent question is whether the correlation between CYP24A1 expression and shorter survival time is varied in different cancer types. The analysis revealed that the pooled HRs (95% CI) in lung cancer subgroup was 1.15 (1.05, 1.26), pooled HRs in colorectal cancer subgroup was 2.48 (1.13, 3.83), while pooled HRs in breast cancer subgroup was 1.82 (1.16, 2.47) (Table 3). The pooled HRs for all the 3 subgroups were higher than 1 with lower 95% CI also higher than 1, thus suggesting that CYP24A1 expression is significantly associated with poorer prognosis independent of the cancer type. Moreover, the pooled HRs for the sample size subgroup were also analyzed and both of the pooled HRs were greater than 1 (Table 3), indicating that the sample size did not affect the function of CYP24A1 expression in promoting survival time of cancer patients. Furthermore, the pooled HRs for ethnicity subgroup were analyzed and is shown to be greater than 1, thus indicating that the correlation between higher expression of CYP24A1 with a shorter survival time did not vary with different ethnicities of the included patients. Additionally, the detection approach for CYP24A1 also did not affect the conclusion that patients with high expression of CYP24A1 has a shorter survival time among protein, mRNA and methylation subgroup analysis (Table 3).
The heterogeneity of these 15 studies in the pooled HRs was tested and I2 value obtained was 36.9% while pheter is 0.056, which revealed that there was no heterogeneity among these fifteen studies (Fig. 2A). In the CYP24A1 expression subgroup, the I2 value was 46.4% and the pheter > 0.05 (Fig. 2B), while the I2 value of SNP subgroup was 0.0% with pheter > 0.05 (Fig. 2C). These results indicate that there was no heterogeneity among these studies of CYP24A1 detection subgroup when those studies were pooled (Table 3).
TO assess the stability of the analysis model for pooled HRs, the leave-one-out method was applied in the sensitivity analysis. The pooled HRs was sequentially calculated after removing each study to evaluate the effect of removing that study on the pooled results. As shown in Fig. 5, pooled HRs was stable even after each study was removed sequentially, which suggested that any of these studies did not affect the pooled results significantly.
Begg’s funnel plot was adopted to evaluate publication bias for all the included studies, where asymmetry was found in the plot (Fig. 6). However, the Begg’s test revealed a p value of 0.216, that is greater than 0.05 (Table 4). Therefore, the presence of a significant publication bias in the meta-analysis cannot be concluded.
Calcitriol, the active form of vitamin D metabolites, was proven to have anticancer effect, where intake of vitamin D can significantly reduce the cancer incidence, mortality and improve the survival [53,54,55,56]. Besides, calcitriol could also reverse the drug resistance of cancer cells [57,58,59]. The cellular level of calcitriol was regulated by two dominant enzymes, CYP27B1 and CYP24A1 . CYP27B1 that is highly expressed in kidney, catalyzes the 25(OH)D conversion into an active metabolite, calcitriol, to activate the vitamin D signaling [61,62]. It was reported that breast cancer cells could metastasize to bone tissue more easily when CYP27B1 was knocked-out in mice , which indicated that CYP27B1 could potentially suppress the metastasis of cancer cells. On the other hand, CYP24A1 is an enzyme that could degrade the calcitriol to inhibit vitamin D signaling. It was revealed that knocked-down of CYP24A1 gene by siRNA rendered prostate cancer cells to be more sensitive to the growth-suppressive effect of vitamin D3 . Inhibition of CYP24A1 had enhanced the anti-proliferation effect and promoted the activation of caspase-independent apoptosis pathway in prostate cancer cells when exposed to calcitriol . Besides, knocking down CYP24A1 in lung tumor xenograft models had also significantly inhibited the growth of tumors . Therefore, it can be concluded that depletion of CYP24A1 profoundly inhibited the cancer cell proliferation and affected the suppression effect of calcitriol on tumor growth. Moreover, Wang et al. found that knocked-down of CYP24A1 had increased the anti-invasion properties of calcitriol by suppressing the epithelial to mesenchymal transition (EMT) process . When the CYP24A1 was deleted in the BrafV600E tumor mice model, the growth of tumors was attenuated significantly. Contrarily, the overexpression of CYP24A1 in BrafV600E cancer cells had promoted malignant progression and cancer cell resistance to PLX4720 treatment . Taken together, CYP24A1 is involved in the regulation of metastasis and sensitivity to inhibitors in cancer cells, which could be a good candidate for targeted cancer therapy [31,69].
Although numerous studies revealed that CYP24A1 could act as a therapeutic target in cancers and the SNP of CYP24A1 was associated with increased cancer risk and poor prognosis [13,30,49,70,71], it was still unclear whether CYP24A1 expression was significantly related to drug resistance. Therefore, this study innovatively and systematically unveiled the function of CYP24A1 in drug resistance in the clinical patients. Thus far, there have been various studies revealing an association of CYP24A1 polymorphism with survival of cancer patients who are treated with or without drugs. However, some of these studies did not assess the function of CYP24A1 SNP in cancer incidence [72,73], whereas some studies had showed its opposite function in cancer risk and patient survival . Therefore, these cases were excluded whereby only the studies with certain function of SNPs were included in this analysis. Apart from this, a substantial number of studies had showed that the CYP24A1 expression had rendered the cancer cells resistance to drugs in xenograft model [64,75,76,77]. However, xenografted models and clinical patients possess vast differences, both biologically and disease outcomes. Therefore, the studies involving animal xenografts models were excluded and only the studies with patients who are expressing CYP24A1 were chosen as our study focus. Another side, the studies revealing the methylation of CYP24A1 were included in the analysis due to the methylation was proven to be associated with low expression of CYP24A1 in cancer patients [46,47]. In this meta-analysis that included 15 studies and involved 3,784 patients, the sample size was enough to conduct an analysis to examine the association between CYP24A1 expression with disease prognosis. Findings obtained are conclusive whereby it had demonstrated that CYP24A1 expression was strongly associated with a worse prognosis for OS or RFS in the patients. Interestingly, the patients with higher expression of CYP24A1 possessed a shorter survival time when treated with drugs. Such results indicated that CYP24A1 expression had resulted in poorer prognosis and the heightened drug-resistance in the patients significantly.
Although our findings have proven that CYP24A1 expression is associated with shorter survival and drug resistance, however, there are still some limitations in this study. This is because there may still exist certain degree of bias in this study since it is not possible to eliminate the presence of all potential biases. Firstly, the number of studies included in the meta-analysis was not sufficient. Besides, some of the HRs data were estimated using the strategies reported by Tierney et al. , hence the data calculated from the Kaplan–Meier curve may not be as precise as compared to directly obtaining the data from the original article. Moreover, the CYP24A1 expression level was determined through different experimental approaches, such as immunohistochemistry (IHC), RNA-sequencing, and RT-qPCR, thus, the definition of high CYP24A1 may not be consistent. Therefore, the cutoff value of the results may also be varied that could lead to the biasness. Based on the abovementioned factors, a random-effects model was adopted, and subgroup analysis was performed to minimize the impact of these limiting factors.
This systematic study demonstrated that high expression or SNP of CYP24A1 was positively correlated with shorter survival time in various cancer types. More importantly, the patients who were treated with drugs highly expressed CYP24A1 and had shorter survival time as compared with the subpopulation that expressed lower level of CYP24A1. Such findings suggest that CYP24A1 is associated with the occurrence of drug resistance in clinical patients.Therefore, CYP24A1 could potentially be used as a molecular marker for poor prognosis and cancer resistance.
Availability of data and materials
All data generated or analyzed during this study are included in this published article.
All methods were carried out in accordance with relevant guidelines and regulations.
Single nucleotide polymorphism
Relapse free survival
Disease free survival
Head and neck cancer
Vasan N, Baselga J, Hyman DM. A view on drug resistance in cancer. Nature. 2019;575(7782):299–309.
Konieczkowski DJ, Johannessen CM, Garraway LA. A Convergence-Based Framework for Cancer Drug Resistance. Cancer Cell. 2018;33(5):801–15.
Voorneveld PW, Jacobs RJ, Kodach LL, Hardwick JC. A Meta-Analysis of SMAD4 Immunohistochemistry as a Prognostic Marker in Colorectal Cancer. Translational oncology. 2015;8(1):18–24.
Rahman M, Hasan MR. Cancer Metabolism and Drug Resistance. Metabolites. 2015;5(4):571–600.
Garland CF, Comstock GW, Garland FC, Helsing KJ, Shaw EK, Gorham ED. Serum 25-hydroxyvitamin D and colon cancer: eight-year prospective study. Lancet. 1989;2(8673):1176–8.
Bertone-Johnson ER, Chen WY, Holick MF, Hollis BW, Colditz GA, Willett WC, et al. Plasma 25-hydroxyvitamin D and 1,25-dihydroxyvitamin D and risk of breast cancer. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology. 2005;14(8):1991–7.
Ahonen MH, Tenkanen L, Teppo L, Hakama M, Tuohimaa P. Prostate cancer risk and prediagnostic serum 25-hydroxyvitamin D levels (Finland). Cancer causes & control : CCC. 2000;11(9):847–52.
Zhang X, Jiang F, Li P, Li C, Ma Q, Nicosia SV, et al. Growth suppression of ovarian cancer xenografts in nude mice by vitamin D analogue EB1089. Clinical cancer research : an official journal of the American Association for Cancer Research. 2005;11(1):323–8.
Nakagawa K, Kawaura A, Kato S, Takeda E, Okano T. 1 alpha,25-Dihydroxyvitamin D(3) is a preventive factor in the metastasis of lung cancer. Carcinogenesis. 2005;26(2):429–40.
Munoz A, Grant WB. Vitamin D and Cancer: An Historical Overview of the Epidemiology and Mechanisms. Nutrients. 2022;14(7):1448.
Walentowicz-Sadlecka M, Sadlecki P, Walentowicz P, Grabiec M. The role of vitamin D in the carcinogenesis of breast and ovarian cancer. Ginekol Pol. 2013;84(4):305–8.
Songyang Y, Song T, Shi Z, Li W, Yang S, Li D. Effect of vitamin D on malignant behavior of non-small cell lung cancer cells. Gene. 2021;768: 145309.
Deeb KK, Trump DL, Johnson CS. Vitamin D signalling pathways in cancer: potential for anticancer therapeutics. Nat Rev Cancer. 2007;7(9):684–700.
Zhang Y, Qiu F, Ye T, Lee SH, Xu J, Jia L, et al. Epiregulin increases stemness-associated genes expression and promotes chemoresistance of non-small cell lung cancer via ERK signaling. Stem Cell Res Ther. 2022;13(1):197.
Bikle DD. Vitamin D metabolism, mechanism of action, and clinical applications. Chem Biol. 2014;21(3):319–29.
Ge X, Yuan L, Wei J, Nguyen T, Tang C, Liao W, et al. Vitamin D/VDR signaling induces miR-27a/b expression in oral lichen planus. Sci Rep. 2020;10(1):301.
Liu M, Lee MH, Cohen M, Bommakanti M, Freedman LP. Transcriptional activation of the Cdk inhibitor p21 by vitamin D3 leads to the induced differentiation of the myelomonocytic cell line U937. Genes Dev. 1996;10(2):142–53.
Shabahang M, Buras RR, Davoodi F, Schumaker LM, Nauta RJ, Evans SR. 1,25-Dihydroxyvitamin D3 receptor as a marker of human colon carcinoma cell line differentiation and growth inhibition. Can Res. 1993;53(16):3712–8.
Simboli-Campbell M, Narvaez CJ, Tenniswood M, Welsh J. 1,25-Dihydroxyvitamin D3 induces morphological and biochemical markers of apoptosis in MCF-7 breast cancer cells. J Steroid Biochem Mol Biol. 1996;58(4):367–76.
Mantell DJ, Owens PE, Bundred NJ, Mawer EB, Canfield AE. 1 alpha,25-dihydroxyvitamin D(3) inhibits angiogenesis in vitro and in vivo. Circ Res. 2000;87(3):214–20.
Banach-Petrosky W, Ouyang X, Gao H, Nader K, Ji Y, Suh N, et al. Vitamin D inhibits the formation of prostatic intraepithelial neoplasia in Nkx3.1;Pten mutant mice. Clinical cancer research : an official journal of the American Association for Cancer Research. 2006;12(19):5895–901.
Gilzad-Kohan H, Sani S, Boroujerdi M. Calcitriol Reverses Induced Expression of Efflux Proteins and Potentiates Cytotoxic Activity of Gemcitabine in Capan-2 Pancreatic Cancer Cells. Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques. 2017;20:295–304.
Garcia-Ramirez I, Martin-Lorenzo A, Gonzalez-Herrero I, Rodriguez-Hernandez G, Vicente-Duenas C, Sanchez-Garcia I. Could Vitamin D Analogues Be Used to Target Leukemia Stem Cells? Int J Mol Sci. 2016;17(6):889.
Diaz L, Diaz-Munoz M, Garcia-Gaytan AC, Mendez I. Mechanistic Effects of Calcitriol in Cancer Biology. Nutrients. 2015;7(6):5020–50.
Qian P, Cao X, Xu X, Duan M, Zhang Q, Huang G. Contribution of CYP24A1 variants in coronary heart disease among the Chinese population. Lipids Health Dis. 2020;19(1):181.
Jones G, Prosser DE, Kaufmann M. 25-Hydroxyvitamin D-24-hydroxylase (CYP24A1): Its important role in the degradation of vitamin D. Arch Biochem Biophys. 2012;523(1):9–18.
Cross HS, Bises G, Lechner D, Manhardt T, Kallay E. The Vitamin D endocrine system of the gut–its possible role in colorectal cancer prevention. J Steroid Biochem Mol Biol. 2005;97(1–2):121–8.
Weiss MM, Snijders AM, Kuipers EJ, Ylstra B, Pinkel D, Meuwissen SG, et al. Determination of amplicon boundaries at 20q13.2 in tissue samples of human gastric adenocarcinomas by high-resolution microarray comparative genomic hybridization. J Pathol. 2003;200(3):320–6.
Anderson MG, Nakane M, Ruan X, Kroeger PE, Wu-Wong JR. Expression of VDR and CYP24A1 mRNA in human tumors. Cancer Chemother Pharmacol. 2006;57(2):234–40.
Chen G, Kim SH, King AN, Zhao L, Simpson RU, Christensen PJ, et al. CYP24A1 is an independent prognostic marker of survival in patients with lung adenocarcinoma. Clinical cancer research : an official journal of the American Association for Cancer Research. 2011;17(4):817–26.
Sun H, Wang C, Hao M, Sun R, Wang Y, Liu T, et al. CYP24A1 is a potential biomarker for the progression and prognosis of human colorectal cancer. Hum Pathol. 2016;50:101–8.
Porter RL, Magnus NKC, Thapar V, Morris R, Szabolcs A, Neyaz A, et al. Epithelial to mesenchymal plasticity and differential response to therapies in pancreatic ductal adenocarcinoma. Proc Natl Acad Sci U S A. 2019;116(52):26835–45.
Kong J, Xu F, Qu J, Wang Y, Gao M, Yu H, et al. Genetic polymorphisms in the vitamin D pathway in relation to lung cancer risk and survival. Oncotarget. 2015;6(4):2573–82.
Vidigal VM, Silva TD, de Oliveira J, Pimenta CAM, Felipe AV, Forones NM. Genetic polymorphisms of vitamin D receptor (VDR), CYP27B1 and CYP24A1 genes and the risk of colorectal cancer. Int J Biol Markers. 2017;32(2):e224–30.
Hlaváč V, Václavíková R, Brynychová V, Ostašov P, Koževnikovová R, Kopečková K, et al. Role of Genetic Variation in Cytochromes P450 in Breast Cancer Prognosis and Therapy Response. Int J Mol Sci. 2021;22(6):2826.
Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol. 2010;25(9):603–5.
Parmar MK, Torri V, Stewart L. Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints. Stat Med. 1998;17(24):2815–34.
Williamson PR, Smith CT, Hutton JL, Marson AG. Aggregate data meta-analysis with time-to-event outcomes. Stat Med. 2002;21(22):3337–51.
Tierney JF, Stewart LA, Ghersi D, Burdett S, Sydes MR. Practical methods for incorporating summary time-to-event data into meta-analysis. Trials. 2007;8:16.
Lo CK, Mertz D, Loeb M. Newcastle-Ottawa Scale: comparing reviewers’ to authors’ assessments. BMC Med Res Methodol. 2014;14:45.
Ge N, Chu XM, Xuan YP, Ren DQ, Wang Y, Ma K, et al. Associations between abnormal vitamin D metabolism pathway function and non-small cell lung cancer. Oncol Lett. 2017;14(6):7538–44.
Porter RL, Magnus NKC, Thapar V, Morris R, Szabolcs A, Neyaz A, et al. Epithelial to mesenchymal plasticity and differential response to therapies in pancreatic ductal adenocarcinoma. Proc Natl Acad Sci USA. 2019;116(52):26835–45.
Borkowski R, Du L, Zhao Z, McMillan E, Kosti A, Yang CR, et al. Genetic mutation of p53 and suppression of the miR-17∼92 cluster are synthetic lethal in non-small cell lung cancer due to upregulation of vitamin D Signaling. Cancer Res. 2015;75(4):666–75.
Mimori K, Tanaka Y, Yoshinaga K, Masuda T, Yamashita K, Okamoto M, et al. Clinical significance of the overexpression of the candidate oncogene CYP24 in esophageal cancer. Annals of oncology : official journal of the European Society for Medical Oncology. 2004;15(2):236–41.
Cai H, Jiao Y, Li Y, Yang Z, He M, Liu Y. Low CYP24A1 mRNA expression and its role in prognosis of breast cancer. Sci Rep. 2019;9(1):13714.
Deng YB, Nagae G, Midorikawa Y, Yagi K, Tsutsumi S, Yamamoto S, et al. Identification of genes preferentially methylated in hepatitis C virus-related hepatocellular carcinoma. Cancer Sci. 2010;101(6):1501–10.
Ramnath N, Nadal E, Jeon CK, Sandoval J, Colacino J, Rozek LS, et al. Epigenetic regulation of Vitamin D metabolism in human lung adenocarcinoma. J Thorac Oncol. 2014;9(4):473–82.
Azad AK, Bairati I, Qiu X, Huang H, Cheng D, Liu G, et al. Genetic sequence variants in vitamin D metabolism pathway genes, serum vitamin D level and outcome in head and neck cancer patients. Int J Cancer. 2013;132(11):2520–7.
Lancheros LEP, Ramírez CP, Martín AS, Navas JMG, Martínez FM, Tortosa MCR, et al. Impact of genetic polymorphisms on the metabolic pathway of vitamin d and survival in non-small cell lung cancer. Nutrients. 2021;13(11):3783.
Hlavac V, Vaclavikova R, Brynychova V, Ostasov P, Kozevnikovova R, Kopeckova K, et al. Role of Genetic Variation in Cytochromes P450 in Breast Cancer Prognosis and Therapy Response. Int J Mol Sci. 2021;22(6):2826.
Gong C, Long Z, Yu Y, Zhu L, Tian J, Li S, et al. Dietary factors and polymorphisms in vitamin D metabolism genes: the risk and prognosis of colorectal cancer in northeast China. Sci Rep. 2017;7(1):8827.
Barry EL, Mott LA, Peacock JL, Rees JR, Baron JA. Genetic correlates of serum 25-hydroxyvitamin D levels and response to vitamin D supplementation. Cancer Res. 2013;73(8):2196.
Kim H, Giovannucci E. Vitamin D Status and Cancer Incidence, Survival, and Mortality. Adv Exp Med Biol. 2020;1268:39–52.
Zhang Y, Fang F, Tang JJ, Jia L, Feng YN, Xu P, et al. Association between vitamin D supplementation and mortality: systematic review and meta-analysis. Bmj. 2019;366:I4673.
Keum N, Lee DH, Greenwood DC, Manson JE, Giovannucci E. Vitamin D supplementation and total cancer incidence and mortality: a meta-analysis of randomized controlled trials. Annals of oncology : official journal of the European Society for Medical Oncology. 2019;30(5):733–43.
Akutsu T, Kitamura H, Himeiwa S, Kitada S, Akasu T, Urashima M. Vitamin D and Cancer Survival: Does Vitamin D Supplementation Improve the Survival of Patients with Cancer? Curr Oncol Rep. 2020;22(6):62.
Negri M, Gentile A, de Angelis C, Monto T, Patalano R, Colao A, et al. Vitamin D-Induced Molecular Mechanisms to Potentiate Cancer Therapy and to Reverse Drug-Resistance in Cancer Cells. Nutrients. 2020;12(6):1798.
Huang Z, Zhang Y, Li H, Zhou Y, Zhang Q, Chen R, et al. Vitamin D promotes the cisplatin sensitivity of oral squamous cell carcinoma by inhibiting LCN2-modulated NF-kappaB pathway activation through RPS3. Cell Death Dis. 2019;10(12):936.
Zheng W, Duan B, Zhang Q, Ouyang L, Peng W, Qian F, et al. Vitamin D-induced vitamin D receptor expression induces tamoxifen sensitivity in MCF-7 stem cells via suppression of Wnt/beta-catenin signaling. Biosci Rep. 2018;38(6):BSR20180595.
Patel JB, Patel KD, Patel SR, Shah FD, Shukla SN, Patel PS. Recent candidate molecular markers: vitamin D signaling and apoptosis specific regulator of p53 (ASPP) in breast cancer. Asian Pacific journal of cancer prevention : APJCP. 2012;13(5):1727–35.
Fleet JC, DeSmet M, Johnson R, Li Y. Vitamin D and cancer: a review of molecular mechanisms. Biochem J. 2012;441(1):61–76.
Latacz M, Snarska J, Kostyra E, Fiedorowicz E, Savelkoul HF, Grzybowski R, et al. Single Nucleotide Polymorphisms in 25-Hydroxyvitamin D3 1-Alpha-Hydroxylase (CYP27B1) Gene: The Risk of Malignant Tumors and Other Chronic Diseases. Nutrients. 2020;12(3):801.
Lu G, Li J, Chu J, Jin S, Fu Z, Miao D, et al. 1,25 (OH)2D3 deficiency increases TM40D tumor growth in bone and accelerates tumor-induced bone destruction in a breast cancer bone metastasis model. Biomed Pharmacother. 2017;95:1033–9.
Tannour-Louet M, Lewis SK, Louet JF, Stewart J, Addai JB, Sahin A, et al. Increased expression of CYP24A1 correlates with advanced stages of prostate cancer and can cause resistance to vitamin D3-based therapies. FASEB J. 2014;28(1):364–72.
Muindi JR, Yu W-D, Ma Y, Engler KL, Kong R-X, Trump DL, et al. CYP24A1 Inhibition Enhances the Antitumor Activity of Calcitriol. Endocrinology. 2010;151(9):4301–12.
Shiratsuchi H, Wang Z, Chen G, Ray P, Lin J, Zhang Z, et al. Oncogenic Potential of CYP24A1 in Lung Adenocarcinoma. Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer. 2017;12(2):269–80.
Wang P, Xu J, You W, Hou Y, Wang S, Ma Y, et al. Knockdown of CYP24A1 Aggravates 1alpha,25(OH)2D3-Inhibited Migration and Invasion of Mouse Ovarian Epithelial Cells by Suppressing EMT. Front Oncol. 2020;10:1258.
Zou M, Baitei EY, BinEssa HA, Al-Mohanna FA, Parhar RS, St-Arnaud R, et al. Cyp24a1 Attenuation Limits Progression of Braf(V600E)-Induced Papillary Thyroid Cancer Cells and Sensitizes Them to BRAF(V600E) Inhibitor PLX4720. Can Res. 2017;77(8):2161–72.
Sakaki T, Yasuda K, Kittaka A, Yamamoto K, Chen TC. CYP24A1 as a Potential Target for Cancer Therapy. Anticancer Agents Med Chem. 2014;14(1):97–108.
Chai L, Ni J, Ni X, Zhang N, Liu Y, Ji Z, et al. Association of CYP24A1 gene polymorphism with colorectal cancer in the Jiamusi population. PLoS ONE. 2021;16(6): e0253474.
Oh JJ, Byun SS, Lee SE, Hong SK, Jeong CW, Choi WS, et al. Genetic variants in the CYP24A1 gene are associated with prostate cancer risk and aggressiveness in a Korean study population. Prostate Cancer Prostatic Dis. 2014;17(2):149–56.
Ramnath N, Daignault-Newton S, Dy GK, Muindi JR, Adjei A, Elingrod VL, et al. A phase I/II pharmacokinetic and pharmacogenomic study of calcitriol in combination with cisplatin and docetaxel in advanced non-small-cell lung cancer. Cancer Chemother Pharmacol. 2013;71(5):1173–82.
Anic GM, Thompson RC, Nabors LB, Olson JJ, Browning JE, Madden MH, et al. An exploratory analysis of common genetic variants in the vitamin D pathway including genome-wide associated variants in relation to glioma risk and outcome. Cancer causes & control : CCC. 2012;23(9):1443–9.
Zeljic K, Supic G, Stamenkovic Radak M, Jovic N, Kozomara R, Magic Z. Vitamin D receptor, CYP27B1 and CYP24A1 genes polymorphisms association with oral cancer risk and survival. Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology. 2012;41(10):779–87.
Rodriguez GC, Turbov J, Rosales R, Yoo J, Hunn J, Zappia KJ, et al. Progestins inhibit calcitriol-induced CYP24A1 and synergistically inhibit ovarian cancer cell viability: An opportunity for chemoprevention. Gynecol Oncol. 2016;143(1):159–67.
Lewis SK, Stewart JN, Addai JB, Vangapandu HV, Lewis AL, Dittmar K, et al. Enhancement of the antitumor action of calcitriol in ectopic and orthotopic xenografts of human prostate cancer cells harboring CYP24A1 shRNA in mice. Endocrine reviews. 2012;33(3).
Hobaus J, Tennakoon S, Heffeter P, Groeschel C, Aggarwal A, Hummel DM, et al. Impact of CYP24A1 overexpression on growth of colorectal tumour xenografts in mice fed with vitamin D and soy. Int J Cancer. 2016;138(2):440–50.
We would like to thank Qiming Zhou from the School of Medicine, Tsinghua University for his help in the operation of R studio.
This work was supported by the Natural Science Foundation of China (NSFC) grant (No: 82204673), the budget research project of Shanghai University of Traditional Chinese Medicine (No: 2021LK018) and the Natural Science Foundation of China (NSFC) grant (No: 82003999).
Ethics approval and consent to participate
Consent for publication
The authors declared that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Zeng, R., Li, H., Jia, L. et al. Association of CYP24A1 with survival and drug resistance in clinical cancer patients: a meta-analysis. BMC Cancer 22, 1317 (2022). https://doi.org/10.1186/s12885-022-10369-x