Literature DB >> 23497279

Transcriptional effects of 1,25 dihydroxyvitamin D(3) physiological and supra-physiological concentrations in breast cancer organotypic culture.

Cintia Milani1, Maria Lucia Hirata Katayama, Eduardo Carneiro de Lyra, JoEllen Welsh, Laura Tojeiro Campos, M Mitzi Brentani, Maria do Socorro Maciel, Rosimeire Aparecida Roela, Paulo Roberto del Valle, João Carlos Guedes Sampaio Góes, Suely Nonogaki, Rodrigo Esaki Tamura, Maria Aparecida Azevedo Koike Folgueira.   

Abstract

BACKGROUND: Vitamin D transcriptional effects were linked to tumor growth control, however, the hormone targets were determined in cell cultures exposed to supra physiological concentrations of 1,25(OH)(2)D(3) (50-100nM). Our aim was to evaluate the transcriptional effects of 1,25(OH)(2)D(3) in a more physiological model of breast cancer, consisting of fresh tumor slices exposed to 1,25(OH)(2)D(3) at concentrations that can be attained in vivo.
METHODS: Tumor samples from post-menopausal breast cancer patients were sliced and cultured for 24 hours with or without 1,25(OH)(2)D(3) 0.5nM or 100nM. Gene expression was analyzed by microarray (SAM paired analysis, FDR≤0.1) or RT-qPCR (p≤0.05, Friedman/Wilcoxon test). Expression of candidate genes was then evaluated in mammary epithelial/breast cancer lineages and cancer associated fibroblasts (CAFs), exposed or not to 1,25(OH)(2)D(3) 0.5nM, using RT-qPCR, western blot or immunocytochemistry.
RESULTS: 1,25(OH)(2)D(3) 0.5nM or 100nM effects were evaluated in five tumor samples by microarray and seven and 136 genes, respectively, were up-regulated. There was an enrichment of genes containing transcription factor binding sites for the vitamin D receptor (VDR) in samples exposed to 1,25(OH)(2)D(3) near physiological concentration. Genes up-modulated by both 1,25(OH)(2)D(3) concentrations were CYP24A1, DPP4, CA2, EFTUD1, TKTL1, KCNK3. Expression of candidate genes was subsequently evaluated in another 16 samples by RT-qPCR and up-regulation of CYP24A1, DPP4 and CA2 by 1,25(OH)(2)D(3) was confirmed. To evaluate whether the transcripitonal targets of 1,25(OH)(2)D(3) 0.5nM were restricted to the epithelial or stromal compartments, gene expression was examined in HB4A, C5.4, SKBR3, MDA-MB231, MCF-7 lineages and CAFs, using RT-qPCR. In epithelial cells, there was a clear induction of CYP24A1, CA2, CD14 and IL1RL1. In fibroblasts, in addition to CYP24A1 induction, there was a trend towards up-regulation of CA2, IL1RL1, and DPP4. A higher protein expression of CD14 in epithelial cells and CA2 and DPP4 in CAFs exposed to 1,25(OH)(2)D(3) 0.5nM was detected.
CONCLUSIONS: In breast cancer specimens a short period of 1,25(OH)(2)D(3) exposure at near physiological concentration modestly activates the hormone transcriptional pathway. Induction of CYP24A1, CA2, DPP4, IL1RL1 expression appears to reflect 1,25(OH)(2)D(3) effects in epithelial as well as stromal cells, however, induction of CD14 expression is likely restricted to the epithelial compartment.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23497279      PMCID: PMC3637238          DOI: 10.1186/1471-2407-13-119

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


Background

Epidemiological data indicates higher incidence and mortality rates from breast cancer in low latitude regions. Among the mechanisms suggested for a relationship between sunlight and cancer is the genesis of vitamin D in the skin, resulting from the UV light action. In accordance with this hypothesis, there is evidence that lower 25(OH)D3[1-5] and 1,25(OH)2D3[6,7] serum concentrations are encountered in patients with breast cancer, as compared with women without cancer, as well as in patients with advanced or metastatic disease in comparison with those with early-stage disease [8,9]. In addition, 25(OH)D3 deficiency at diagnosis was related with poor prognosis, evaluated as metastasis-free and overall survival [10]. In human breast xenografts established in immunossupressed mice 1,25(OH)2D3 exerts growth inhibitory effects, and in mouse mammary organ culture exposed to chemical carcinogens, both 25(OH)D3 and 1,25(OH)2D3 mediate preventive effects [11-13]. However, the chemopreventive effect of vitamin D is still controversial, as supplementation trials on vitamin D3 and colon or breast cancer incidence have been inconsistent [14,15]. One critical issue is that the appropriate supplementation dose for cancer prevention trials was not well established [16]. On the other hand, clinical studies point to a clinical benefit for 1,25(OH)2D3 (or analogues) alone or in combination with chemotherapy in the treatment of hormone refractory prostate cancer and breast cancer skin lesions [17,18]. However, concerns about hypercalcemic side effects limit the dose of 1,25(OH)2D3 (or analogues) that can be safely administered in vivo. Phase I clinical studies indicate that subcutaneous doses of calcitriol given every other day result in peak 1,25(OH)2D3 serum concentration of 0.25-0.75 nM [19] while weekly pulses of oral calcitriol allow higher dose administration and peak serum concentrations of 1–15 nM [20]. Although these vitamin D concentrations represent about 1.3-83 times the upper limit of physiologic serum levels, they are well below the concentrations (10-100nM) typically used to investigate hormone actions in cell culture studies. At these concentrations, 1,25(OH)2D3 exerts antiproliferative and pro apoptotic effects [21] and modulates angiogenesis [22,23], invasion and metastasis [24,25]. Among the downstream targets of the hormone are cyclin dependent kinase inhibitors as p21WAF1/CIP1 and p27KIP1; growth factors, receptors and associated proteins as TGFβ, TGFβ receptors and insulin-like growth factor binding protein-3 (IGFBP-3) [26-31]. In addition, gene expression profiling of breast cancer cell lines MCF7 and MDA-MB-231 have identified many potential 1,25(OH)2D3 target genes, [24] but again, these studies were conducted with supra physiological concentrations of calcitriol (50-100nM). Furthermore, experiments in cell lines do not reflect the complex array of interactions among malignant and stromal cells, secreted factors and extracellular matrix proteins taking place in the tumor microenvironment, which also modulate the hormone actions. Although the majority of human breast cancers express vitamin D receptors (VDR) [7,32,33], there have been no demonstrations that 1,25(OH)2D3 modulates gene expression in human breast cancer samples. To address this research gap, a physiologically relevant in vitro model to study 1,25(OH)2D3 actions, represented by short term culture of fresh breast cancer tissue slices, which maintain the epithelial mesenchymal relationship and preserve tissue morphology and proliferation rate, was established [25,34,35]. With this organotypic culture system the transcriptional effects of 1,25(OH)2D3 at 0.5nM, a concentration that can be safely attained in vivo, and 100nM, the concentration typically used in cell culture studies, was compared. In addition, mammary cell lines and fibroblasts obtained from breast cancer samples were used to validate transcriptional targets of 1,25(OH)2D3 in epithelial and stromal cell types. Cancer associated fibroblasts (CAF) are interactive cells that infiltrate tumor specimens, influencing their behavior [36-38], which are also potential targets of the hormone. Although VDRs have been detected in fibroblasts obtained from prostate and breast tumors, few studies have compared 1,25(OH)2D3 mediated genomic effects in epithelial and stromal cells [39,40]. The present study indicates that physiologically relevant concentrations of 1,25(OH)2D3 may influence gene expression in breast tumor slices cultured ex vivo, and that regulation of target genes likely occurs in both epithelial and stromal compartments of the tumor.

Methods

Patients

Post-menopausal breast cancer patients clinical stages I-III were invited to take part in the study. This protocol was carried out in compliance with the Helsinki Declaration and was approved by the Institutional Ethics Committee (Comitê de Ética do Instituto Brasileiro de Controle do Câncer, protocol number 108/2006/7; Comitê de Ética em Pesquisa do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, protocol number 626/06; Comitê de Ética do Hospital do Câncer A. C. Camargo, protocol number 1131/08). A written informed consent was signed by all participants. Twenty one patients were prospectively accrued at Instituto Brasileiro de Controle do Câncer and Hospital do Câncer A. C. Camargo, São Paulo, from August 2007 to September 2009. Characteristics of these patients are described on Table 1.
Table 1

Characteristics of patients

 Training group (n=5)Validation group (n=16)p
Median age
70 (56–76)
56.5 (49–72)
0.068
CS III
3 (60%)
5 (33%)
0.347
N(+)
3 (60%)
9 (60%)
1.000
IDC
5 (100%)
10 (62%)
0.262
ER(+)
2 (40%)
11 (69%)
0.325
PR(+)
3 (60%)
9 (56%)
1.000
HER2(+)2 (40%)5 (31%)1.000

Tumor samples collected for tissue slices culture. Age in years; CS III: clinical stage III, AJCC 2002; IDC: invasive ductal carcinoma; N(+): lymph node positive involvement; ER: estrogen receptor immunoexpression; PR: progesterone receptor immunoexpression; HER2 immunoexpression (+): 3+/3+; (-): negative; (+): positive. p: Fisher exact test or Mann Whitney test.

Characteristics of patients Tumor samples collected for tissue slices culture. Age in years; CS III: clinical stage III, AJCC 2002; IDC: invasive ductal carcinoma; N(+): lymph node positive involvement; ER: estrogen receptor immunoexpression; PR: progesterone receptor immunoexpression; HER2 immunoexpression (+): 3+/3+; (-): negative; (+): positive. p: Fisher exact test or Mann Whitney test.

Tissue slice preparation and treatment

Tumor fragments were obtained immediately after tumor resection by the pathologist, who selected an involved area for this study. Fragments were placed into culture medium (RPMI 1640 with antibiotics and fungicide) and tissue slices were prepared using the Krumdieck tissue slicing system (Alabama Research and Development Corporation, Birmingham, AL, USA). Fragment thickness varied between 400–800 μm. Slices were cultured for 24 hours in 6-well plates (1 slice/well; 1–3 slices per treatment) containing 2 mL of culture media, RPMI supplemented with 10% v/v FBS, antibiotics and 0.001% ethanol (vehicle) or 1,25(OH)2D3 (Calbiochem, Darmstadt, Germany) 0.5nM or 100nM (from now on called physiological and supra-physiological concentrations, respectively). One slice of each sample was processed by FFPE and hematoxilin-eosin stained slides revealed that tumor samples contained > 50% malignant cells.

Fibroblasts primary culture

Primary fibroblast culture was established from tumor samples obtained from another five post-menopausal patients, diagnosed with invasive ductal carcinoma (histological grades II or III, three of them hormone receptor positive). Tumor samples were cut into small pieces and fibroblast primary culture was established through the explant methodology. After three cell passages, mesenchymal origin of the cells was confirmed by their spindle cell morphology and positive expression of vimentin [mouse anti human vimentin monoclonal antibody, clone Vim 3b4 (1:200); DAKO Corporation, Carpinteria, CA, USA] and alpha smooth muscle actin [(mouse monoclonal antibody anti human alpha smooth muscle actin, clone 1A4 (1:50); R&D Systems] and negative expression of cytokeratin [mouse monoclonal antibody anti human cytokeratin clone AE1/AE3 (1:100); DAKO] by immunocytochemistry (data not shown). Fibroblasts were then exposed to 1,25(OH)2D3 (Calbiochem, Darmstadt, Germany) 0.5nM or vehicle for 24 hours and after RNA extraction, RT-qPCR was performed to evaluate expression of candidate genes.

Culture of mammary epithelial cell lines

HB4A (normal mammary epithelial cell line) and C5.2a (HB4A transfected with HER2), both donated by Drs. Mike O’Hare and Alan Mackay, Ludwig Institute for Cancer Research, London, UK; SKBR3: breast cancer cell line overexpressing HER2; MDA MB-231: breast cancer cell line triple negative; and MCF-7: breast cancer cell line ER(+), acquired from American Type Culture Colection (Manassas, Virginia, USA), were cultured in RPMI-1640 supplemented with 10% fetal calf serum (FCS). After 24 hours, medium was replaced and 1,25(OH)2D3 0.5 nM (treated cells) or ethanol (control cells) was added. After 24 hs of treatment, total RNA was isolated using Trizol reagent and used in RT-qPCR.

RNA extraction and microarray hybridization

Tumor specimens were pulverized (Bio-Pulverizer™ BioSpec Products Inc., Oklahoma, USA) under liquid nitrogen and total RNA was isolated using RNeasy kit (Qiagen, Valencia, CA, USA), according to the manufacturer’s protocol. RNA integrity was verified in a Bioanalyzer 2100 (Agilent Technologies, Santa Clara, CA, USA) and samples with RNA integrity number ≥ 6.6 were analyzed. Beginning with 100 ng total RNA, a two-round linear amplification was carried out, according to Affymetrix protocol (Two Cycle Target Labeling Kit, Affymetrix, Santa Clara, CA, USA). Afterwards, biotin-labeled cRNA was synthesized from double strand cDNA, using IVT labeling kit (Affymetrix) and 20 μg of biotinylated fragmented aRNA was hybridized onto Human Genome U133 Plus 2.0 GeneChip (Affymetrix Hybridized arrays were scanned using Affymetrix GeneChip Scanner 3000 and after visual inspection, images were subjected to Affymetrix GeneChip Operating Software (GCOS) analysis to generate report files for quality control. Data normalization was performed using the Robust Multi-Array Average (RMA). Samples were categorized according to treatment in three groups: 1,25(OH)2D3 0.5nM, 1,25(OH)2D3 100nM and control. To establish a differential gene expression profile between vitamin D treated and untreated samples, SAM two class paired, provided on MEV (MultiExperiment Viewer – Boston, MA, USA) was used, after selecting 50% of the genes with the highest standard deviation. False discovery ratio (FDR) ≤0.10 was considered significant. In addition, results obtained with FDR≤0.01 are presented. Unsupervised hierarchical clustering based on Euclidean distance and average linkage was used to verify association patterns. The reliability of the clustering was assessed by the Bootstrap technique. Raw data complying with MIAME format was deposited at the Gene Expression Omnibus (GEO) data repository (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE27220) accession number GSE27220. To explore functional enrichment associated with calcitriol treatment based on Ontologies (GO, Pathway), Regulome (TFBS, transcription factor binding site) Pharmacome (Drug-gene associations) among other features, differentially expressed genes were subject to subsequent analysis using ToppFun, available on ToppGene Suite (http://toppgene.cchmc.org/enrichment.jsp) and were considered significant if P < 0.05 [41]. Gene set enrichment analysis (GSEA) method was used to identify whether predefined gene sets might associate with gene expression differences between phenotypes. In this pairwise comparison, all genes are ranked based on signal-to-noise ratio and the alternative hypothesis that rank ordering of distinct pathway members is associated with a specific phenotype is tested [42]. This methodology makes it possible to detect situations where all genes in a predefined set change in a small but coordinated way. FDR<0.10 was considered significant.

Real time RT-PCR

Reverse transcription was performed with random primers and Superscript III (Invitrogen Corporation, Carlsbad, CA, USA). Quantitative PCR (qPCR) was carried out using specific primers (Additional file 1: Table S1) and SYBR-green I (Sigma, St. Louis, MO, USA) in a Rotor-gene system (Corbett Research, Mortlake, Australia). Relative expression of target genes was calculated as 2-ΔΔCT, using GAPDH or ACTB as internal control (as indicated) and the average value of the target gene in control samples, as reference level.

Western blot

Protein lysates from cell lines were made using RIPA buffer (1% NP-40, 0.1% SDS, 0.5% Sodium Deoxycholate in 1 × PBS) supplemented with complete mini protease inhibitor cocktail tablets (Roche; cat 04693124001). Afterwards, 50 μg of protein was subjected to SDS-PAGE and transferred to Hybond ECL membrane (GE Lifesciences), which was probed with the following primary antibodies overnight at 4°C: CD26 (DPP4, clone H-270, rabbit polyclonal antibody, 1:500; Santa Cruz Biotechonology Inc. Santa Cruz, CA, USA); CD14 (clone M305, sc9150, rabbit polyclonal antibody 1:500; Santa Cruz); β-actin (monoclonal Anti-β-Actin antibody produced in mouse, clone AC-15, ascites fluid, A5441, 1:2000, Sigma-Aldrich) and then with appropriate secondary antibodies (170–6515 Goat Anti-Rabbit Ig-G (H+L) HRP conjugate; 170–6516 Goat Anti-Mouse Ig-G (H+L) HRP conjugate; Bio-Rad.). Protein expression was detected with ECL Plus Western Blotting Detection Reagents (GE Lifesciences) in a ImageQuant LAS 4000 (GE Healthcare).

Immunocytochemistry

Fibroblasts were grown on coverslips in the absence or presence of 1,25(OH)2D3 0.5nM for 24 hours. Samples were fixed in 4% paraformaldehyde and permeabilized with 0.5% Triton X-100/PBS, in case of intracellular targets. Blocking of unspecific binding was performed with 2% BSA/PBS. Afterwards, cells were incubated with the primary antibody (CD26, clone H-270 rabbit polyclonal antibody, anti-DPP4, 1:200, Santa Cruz; CA II, clone G-2, sc-48351 mouse monoclonal antibody, 1:100, Santa Cruz) overnight in humid chamber at 4°C and then with the secondary antibody conjugated with Alexa Fluor 488 (1:700, species specific: goat anti-rabbit IgG, n° A11008; goat anti-mouse IgG n° A11001; Molecular Probes) for 1 h at room temperature in the dark. DAPI was added for nuclear staining. Images were acquired in a Olympus fluorescence microscope DX-5AI, using an Image Pro-PLUS 6,0 software.

Immunohystochemistry

Breast cancer slices from seven patients (six samples cultured in the absence (control) or presence of 1,25(OH)2D3 100nM and one sample cultured in the presence of 1,25(OH)2D3 0.5nM) were available for analysis (from the patients described in Table 1). Sections of 3 μm thickness were cut from paraffin blocks and antigen retrieval was carried out in 10 mM citrate buffer at pH 6.0 in humid heat under pressure cooker. Staining with the following specific antibody took place overnight at 4°C: CD14, clone M-305, (sc-9150Santa Cruz Biotechnology) rabbit polyclonal IgG, 1:800. Reaction was revealed with Novolink Polymer Detection Systems (Leica Biosystems, Newcastle, UK, cat: RE7280-k), followed by analysis in a Olympus fluorescence microscope DX-5AI (40x objective) and acquisition with an Image Pro-PLUS 6,0 software.

Detection of soluble CD14 (sCD14) in culture medium of tumor samples

Tumor slices from another four post-menopausal patients (median age 56 years) diagnosed with invasive ductal carcinoma clinical stages I-II, HER2 negative and hormone receptor positive (except for one tumor triple negative) were cultured with or without 1,25(OH)2D3 0.5nM or 100nM for 24 hours and 100 μL of the conditioned medium was used for soluble CD14 (sCD14) quantitative determination, through an enzyme-linked immunosorbent assay (Quantikine ELISA Human sCD14 Immunoassay, R&D Systems, Minneapolis, MN, USA). For every sample, two analyses on the same plate were carried out and the mean value was used.

Statistics

Kolmogorov-Smirnov test was applied to check for normality of the data, followed by parametric or non-parametric tests, as appropriate. To detect an association between variables, Pearson chi-square or Fisher exact tests were used. A two-tailed p value ≤ 0.05 was considered significant. Analysis was undertaken using Instat (GraphPad Software, Inc., La Jolla, CA, USA) or SPSS (Chicago, IL, USA).

Results

Patients characteristics

Twenty one post-menopausal patients with breast cancer clinical stages I-III were included in this study. Samples from five patients were analyzed in a training group, using microarray, and from another 16 patients were analyzed in a validation group, using RT-qPCR. There were no differences between groups concerning age, clinical stage, lymph node involvement; ductal histology; ER, PR and HER2 immunoexpression (Table 1).

Vitamin D transcriptional effects in breast cancer slices

At first, the transcriptional effects of 0.5 nM 1,25(OH)2D3 vs control in breast cancer slices were compared, using SAM paired analysis (FDR ≤ 0.1). As shown in Table 2, seven genes were up-regulated and two genes were down-regulated in tumor slices exposed to 0.5nM 1,25(OH)2D3 for 24 h. Enrichment of genes involved in vitamin metabolic process (TKTL1, CYP24A1, CYP26B1) was observed. Unsupervised clustering of the differentially expressed genes identified two branches, however there was no aggregation of samples according to 1,25(OH)2D3. treatment (Figure 1). At a more stringent FDR level (≤ 0.01), only five (CYP24A1, DPP4, EFTUD1, FCGR2C, SAMSN1) genes were differentially expressed.
Table 2

Genes differentially modulated in breast tumor slices incubated with 0.5nM 1,25(OH)D

Gene titleGene symbolFC
cytochrome P450, family 24, subfamily A, polypeptide 1
CYP24A1
7.54
dipeptidyl-peptidase 4 (CD26, adenosine deaminase complexing protein 2)
DPP4
2.01
cytochrome P450, family 26, subfamily B, polypeptide 1
CYP26B1
1.94
potassium channel, subfamily K, member 3
KCNK3
1.92
transketolase-like 1
TKTL1
1.55
spindlin family, member 3
SPIN3
1.55
elongation factor Tu GTP binding domain containing 1
EFTUD1
1.49
Fc fragment of IgG, low affinity IIc, receptor for (CD32)
FCGR2C
-1.61
SAM domain, SH3 domain and nuclear localization signals 1SAMSN1-1.79

SAM paired analysis FDR ≤ 0.10 (FDR ≤ 0.01, genes marked in bold). FC: Fold change of the ratio. (-): lower expression in 1,25(OH)2D3 treated (as compared with untreated) samples.

Figure 1

Unsupervised hierarchical clustering of breast cancer slices exposed to vehicle or 0.5nM 1,25(OH)D. Five tumor samples (6, 11, 12, 13, 15) were cultured with or without 0.5nM 1,25(OH)2D3 for 24 h. Gene expression was evaluated by microarray and analysis performed using SAM paired analysis (FDR ≤ 0.1). The upper colored bar and values indicate gene expression in target samples (i.e., red, more expressed and green, less expressed). Colored lines of the dendrogram and numbers stand for the support for each clustering, black and gray, more reliable; yellow and red, less reliable. Nine genes were differentially expressed (plus one probe without a gene name, NA). Two branches are identified, one of them including three control samples.

Unsupervised hierarchical clustering of breast cancer slices exposed to vehicle or 0.5nM 1,25(OH)D. Five tumor samples (6, 11, 12, 13, 15) were cultured with or without 0.5nM 1,25(OH)2D3 for 24 h. Gene expression was evaluated by microarray and analysis performed using SAM paired analysis (FDR ≤ 0.1). The upper colored bar and values indicate gene expression in target samples (i.e., red, more expressed and green, less expressed). Colored lines of the dendrogram and numbers stand for the support for each clustering, black and gray, more reliable; yellow and red, less reliable. Nine genes were differentially expressed (plus one probe without a gene name, NA). Two branches are identified, one of them including three control samples. Genes differentially modulated in breast tumor slices incubated with 0.5nM 1,25(OH)D SAM paired analysis FDR ≤ 0.10 (FDR ≤ 0.01, genes marked in bold). FC: Fold change of the ratio. (-): lower expression in 1,25(OH)2D3 treated (as compared with untreated) samples. Using GSEA (motif, transcription factors), to compare samples treated with 0.5nM 1,25(OH)2D3 treated and untreated, only one gene set was enriched at FDR ≤ 0.1, namely DR3, comprising genes containing a motif for vitamin D receptor (VDR) around the transcription start site (Additional file 2: Table S2). Next, the effects of a 24 h exposure to 1,25(OH)2D3 100nM was evaluated in this model system. Using FDR cut offs of ≤ 0.1 and ≤ 0.01, 196 (136 more and 60 less expressed in treated samples) and 30 (28 more and 2 less expressed in treated samples) candidate target genes were found, respectively (Additional file 3: Table S3). Up-regulated genes were involved in vitamin metabolic process, regulation of leukocyte mediated immunity and positive regulation of alpha-beta T cell activation. In addition, some genes were associated with calcitriol and TGF-beta signaling pathway (Table 3). There was no separation of treated and untreated samples, upon unsupervised hierarchical cluster analysis, and paired tumors co-aggregated in the same branch (Additional file 4: Figure S1).
Table 3

Functional categories of genes up-regulated in breast tumor slices incubated in 100 nM 1,25(OH)D

 Genes up-regulated in VD3 100nM treated samples
Biological process
 
Response to external stimulus
TGFBR2, LXN, THBD,PTEN, PTGER3, HBEGF, CYP24A1, ACVRL1, CCL19, FOXF1, FYN, OSM, CD28, CD14, BMP6, BMP2, PLAT, CD1D, PKD2, SERPINA1, PROCR, ALDH1A2
Response to wounding
TGFBR2, THBD, PTGER3, HBEGF, ACVRL1, CCL19, FOXF1, OSM, CD28, CD14, BMP6, BMP2, PLAT, SERPINA1, PROCR
Regulation of leukocyte mediated immunity
CD226, FOXF1, DPP4, CD28, CD1D, GIMAP1
Pathway-restricted SMAD protein phosphorylation
TGFBR2, ACVR1B, BMP6, BMP2
Urogenital system development
CRLF1, PTEN, CYP19A1, BMP6, BMP2, CA2, PKD2, ALDH1A2
Vitamin metabolic process
TKTL1, SLC22A4, CYP24A1, DHRS9, MTAP, PSAT1, ALDH1A2
Positive regulation of alpha-beta T cell activation
TGFBR2, CD28, CD1D, GIMAP1
KEGG pathway
 
TGF-beta signaling pathway
TGFBR2, ACVRL1, ACVR1B, IDA, BMP6, BMP2
Drugs
 
CalcitriolEFTUD1, EHBP1, TRIM56, HBEGF, CYP24A1, CYP19A1, ACVRL1, ACVR1B, SEMAD6D, ARRDC4, CD14, BMP6, PRKD1, BMP2, CLMN, PLAT, IL1RL1, PRKCH, SLC1A1, CA2, FAM20C, SHE

(Toppgene, p<0.05).

Functional categories of genes up-regulated in breast tumor slices incubated in 100 nM 1,25(OH)D (Toppgene, p<0.05). To determine overlapping genes up-regulated by both calcitriol concentrations (at FDR ≤ 0.1), a Venn diagram was assembled. This approach identified five commonly up-modulated genes: CYP24A1, DPP4, EFTUD1, TKTL1 and KCNK3. The reproducibility of the present gene list was further tested against gene lists determined in other cell lines. To this end, vitamin D (100 nM) up-regulated genes were cross checked in breast cancer slices and derived fibroblasts [40], squamous carcinoma [43] immortalized prostate [44], and lymphoblastoid cell lines [45] as well as in carotid artery smooth muscle cells [46] (Figure 2). These cell lines were treated with supra-physiological concentrations, ranging from 10-100nM, of 1,25(OH)2D3 or EB1089 (vitamin D analog) for 12–36 hours. This analysis revealed CYP24A1 as the universal vitamin D target gene in all cell types. Expression of CLMN, EFTUD1 and SERPINB1 was up-regulated in five of the six studies and BMP6, CD14, FAM20C, and THBD in four studies. CA2, CILP, CYP19A1, DCBLD1, DPP4, FOXF1, G0S2, GRK5, IL1RL1, KCNK3, SEMA6D and SLC1A1 were up-regulated in another two studies, in addition to the present one. Many of these genes were also regulated by vitamin D in this organotypic culture.
Figure 2

Overlapping genes up-regulated by 1,25(OH)D10-100nM in cell lines. Venn diagram of 1,25(OH)2D3 up-regulated genes in breast cancer slices (A) cancer associated fibroblasts and normal adjacent fibroblasts (B) [40]; non-transformed prostate epithelial cell line (C) [44]; human coronary artery smooth muscle cells (D) [46]; SCC25 cells (floor of the mouth/base of the tongue squamous tumor, (E) [43] and lymphoblastoid cell lines (F) [45]. B, C, and D include non-transformed cells. Number of genes regulated in two cell lines appears on the diagram; number of genes regulated in more than two cell lines appears on the text.

Overlapping genes up-regulated by 1,25(OH)D10-100nM in cell lines. Venn diagram of 1,25(OH)2D3 up-regulated genes in breast cancer slices (A) cancer associated fibroblasts and normal adjacent fibroblasts (B) [40]; non-transformed prostate epithelial cell line (C) [44]; human coronary artery smooth muscle cells (D) [46]; SCC25 cells (floor of the mouth/base of the tongue squamous tumor, (E) [43] and lymphoblastoid cell lines (F) [45]. B, C, and D include non-transformed cells. Number of genes regulated in two cell lines appears on the diagram; number of genes regulated in more than two cell lines appears on the text. A subset of seven genes was selected for further analysis in samples from another group of patients, using qPCR. Candidates were chosen from microarray analysis and included two genes modulated by both calcitriol concentrations: CYP24A1 and DPP4; and five genes regulated by 100nM calcitriol at a fold change > 2, compared to control samples: IL1RL1, SHE, CD14, CA2 and BMP6. Initially, significant correlations between gene expression values obtained from the microarray dataset and those obtained by subsequent qPCR analysis in the first group of five patients were evaluated, as a technical validation procedure. In these 15 samples (control; 0.5nM 1,25(OH)2D3 and 100nM 1,25(OH)2D3) significant direct correlations were demonstrated for all genes, except for BMP6 (Additional file 5: Table S4). Subsequently, the expression of these seven genes was determined in samples from an additional group of 16 patients (validation subset). In these samples, CYP24A1, DPP4 and CA2 were up-regulated by both 1,25(OH)2D3 0.5 and 100nM whereas CD14 expression was induced only by 1,25(OH)2D3 100nM (Figure 3). Median expression of IL1RL1, SHE, and BMP6 was not significantly up-regulated by either dose of 1,25(OH)2D3 in these additional samples, even though elevated mRNA levels were detected in a subset of tumors after treatment.
Figure 3

Effect of 1,25(OH)Don expression of in breast cancer slices. Tumor specimens from 12–16 patients were treated or not (control) with 1,25(OH)2D3 (0.5nM or 100nM) for 24 hours and analyzed by qPCR. Relative expression was calculated as 2-ΔΔCT, using GAPDH as internal control and the average value of the target gene in control samples, as reference. Horizontal line represents the median value of gene expression. Friedman test, p value inside the box; * (over the horizontal bracket): p ≤ 0.05, Wilcoxon signed ranks test.

Effect of 1,25(OH)Don expression of in breast cancer slices. Tumor specimens from 12–16 patients were treated or not (control) with 1,25(OH)2D3 (0.5nM or 100nM) for 24 hours and analyzed by qPCR. Relative expression was calculated as 2-ΔΔCT, using GAPDH as internal control and the average value of the target gene in control samples, as reference. Horizontal line represents the median value of gene expression. Friedman test, p value inside the box; * (over the horizontal bracket): p ≤ 0.05, Wilcoxon signed ranks test.

Vitamin D transcriptional effects in epithelial and stromal cells

The effects of 1,25(OH)2D3 0.5nM on the expression of CYP24A1, DPP4, IL1RL1, CD14, CA2 and BMP6, were further explored in breast tumor derived cells, representing the epithelial and stromal compartments, using RT-qPCR. For this analysis, normal and cancerous breast cell lines (HB4A, C5.4, SKBR3, MDA-MB231, MCF-7) and cancer associated fibroblasts (primary cultures obtained from fresh tumor samples) were used. In the breast-derived epithelial cell lines, robust expression of CYP24A1 was observed in all lineages, indicating functional VDR expression. Breast cell lines (HB4a, C5.4, SKBR3) that exhibited low baseline CYP24A1 expression showed larger fold-induction of this gene than cell lines (MCF-7, MD-MBA-231) presenting high baseline CYP24A1. Expression of CA2, CD14 and IL1RL1, was significantly induced by 1,25(OH)2D3 0.5nM, but considerable variability in the response of individual lineages was observed, and cells displaying the most robust up-regulation of CYP24A1 in response to 1,25(OH)2D3 did not necessarily exhibit the highest induction of the other target genes. Three of the breast cancer cell lines demonstrated up-regulation of BMP6 in response to 1,25(OH)2D3 0.5nM however, the group response was not statistically significant. In five independently-derived primary cultures of cancer-associated fibroblasts, CYP24A1 expression was consistently induced in response to 1,25(OH)2D3 0.5nM indicating active VDR signaling in the tumor stroma. However, none of the other target genes, identified in the microarray analysis, were significantly up-regulated in tumor fibroblasts cultured with 0.5nM 1,25(OH)2D3ex vivo , even though there was a trend towards up-regulation of CA2, IL1RL1 and DPP4 (Figure 4).
Figure 4

Effect of 0.5nM 1,25(OH)Don expression of and in cancer infiltrating fibroblasts and mammary epithelial cells. Cancer infiltrating fibroblasts (n=5) and breast derived cell lines (left to right: HB4A, C5.4, SKBR3, MCF7, MDA-MB231) were cultured in the presence or absence of 0.5nM 1,25(OH)2D3 for 24 h. Three independent assays for each cell line were performed and the mean relative gene expression value was calculated. Gene expression was determined by RT-qPCR and relative expression is shown on the Y axis (which is in log scale for CYP24A1, CA2, CD14, DPP4 and IL1RL1). p values: Wilcoxon signed ranks test. White bar: control samples; Gray bars: 1,25(OH)2D3 treated samples.

Effect of 0.5nM 1,25(OH)Don expression of and in cancer infiltrating fibroblasts and mammary epithelial cells. Cancer infiltrating fibroblasts (n=5) and breast derived cell lines (left to right: HB4A, C5.4, SKBR3, MCF7, MDA-MB231) were cultured in the presence or absence of 0.5nM 1,25(OH)2D3 for 24 h. Three independent assays for each cell line were performed and the mean relative gene expression value was calculated. Gene expression was determined by RT-qPCR and relative expression is shown on the Y axis (which is in log scale for CYP24A1, CA2, CD14, DPP4 and IL1RL1). p values: Wilcoxon signed ranks test. White bar: control samples; Gray bars: 1,25(OH)2D3 treated samples.

Vitamin D effects on protein expression

Vitamin D effects in protein expression were analyzed in tumor slices and culture medium, as well as in epithelial cell lines and fibroblasts. Tumor slices from seven patients (in FFPE, six samples cultured in the absence or presence of 1,25(OH)2D3 100nM and one sample in the presence of 1,25(OH)2D3 0.5nM) were available for immunohistochemistry. CD14 moderate cytoplasmic staining was observed in at least 50% of tumor cells and weak staining of 10% of the fibroblasts. No differences could be detected between 1,25(OH)2D3 treated and untreated tumor samples (Figure 5).
Figure 5

CD14 expression in breast cancer samples. Tumor slices were cultured in the absence (control: B, E) or presence of 1,25(OH)2D3 100nM (C) or 0.5nM (F) for 24 h. Protein expression was examined by immunohistochemistry. CD14 expression was detected as a cytoplasmic staining. Negative reaction with secondary antibodies exclusively, appears on the left (A, D). scale bar: 25μm.

CD14 expression in breast cancer samples. Tumor slices were cultured in the absence (control: B, E) or presence of 1,25(OH)2D3 100nM (C) or 0.5nM (F) for 24 h. Protein expression was examined by immunohistochemistry. CD14 expression was detected as a cytoplasmic staining. Negative reaction with secondary antibodies exclusively, appears on the left (A, D). scale bar: 25μm. CD14 may be either soluble (sCD14) or membrane-bound (mCD14). There is evidence that sCD14 may be detected in plasma samples from breast cancer patients, hence we determined whether sCD14 concentration might be regulated in the culture medium of breast cancer slices. Although no significant statistical differences were found between control and calcitriol treated samples (0.5nM and 100nM), there was a trend towards higher values of sCD14 in 3/4 samples exposed to 1,25(OH)2D3 100nM (Figure 6).
Figure 6

Soluble CD14 in the conditioned medium of breast cancer slices. Tumor specimens from four patients with invasive ductal carcinoma (not included in previous analysis of microarray or PCR) were cultured with or without (control, white bars) 1,25(OH)2D3 0.5 (hatched bars) or 100 nM (gray bars) for 24 h. sCD14 concentration was evaluated in the conditioned medium by ELISA (p=0.42; Friedman’s test).

Soluble CD14 in the conditioned medium of breast cancer slices. Tumor specimens from four patients with invasive ductal carcinoma (not included in previous analysis of microarray or PCR) were cultured with or without (control, white bars) 1,25(OH)2D3 0.5 (hatched bars) or 100 nM (gray bars) for 24 h. sCD14 concentration was evaluated in the conditioned medium by ELISA (p=0.42; Friedman’s test). In mammary epithelial cell lines and cancer associated fibroblasts protein expression was analyzed through western blot and immunocytochemistry. CD14 was more expressed in MCF7 and C5.2 treated with 0.5nM 1,25(OH)2D3, as compared with untreated cells, however no differences in CD14 expression were observed in fibroblasts exposed to 1,25(OH)2D3. In MCF7 cells, DPP4 (CD26) expression was also induced after 1,25(OH)2D3 0.5nM exposure (Figure 7). In addition, in fibroblasts, CA2 as well as DPP4 cytoplasmic immunoexpression was more intense in 1,25(OH)2D3 treated than in control cells (Figure 8).
Figure 7

CD14 and DPP4 (CD26) expression in mammary epithelial cell lines and fibroblasts. MCF7 and C5.2 cells as well as fibroblasts were cultured in the absence (control, C) or presence of 1,25(OH)2D3 0.5 nM (D 0.5). Protein expression was analyzed through western blot. Two assays were performed with similar results.

Figure 8

CA2 and DPP4 (CD26) expression in fibroblasts. Cancer associated fibroblasts from two patients with IDC were cultured in the presence or absence (control-1st row) of 1,25(OH)2D3 0.5 nM (2nd row) or 100 nM (3rd row) and processed for immunostaining with specific antibodies and DAPI for nuclear staining (on the left). (A) CA2 cytoplasmic granular staining and (B) DPP4 cytoplasmic staining appears in green. scale bar: 25μm.

CD14 and DPP4 (CD26) expression in mammary epithelial cell lines and fibroblasts. MCF7 and C5.2 cells as well as fibroblasts were cultured in the absence (control, C) or presence of 1,25(OH)2D3 0.5 nM (D 0.5). Protein expression was analyzed through western blot. Two assays were performed with similar results. CA2 and DPP4 (CD26) expression in fibroblasts. Cancer associated fibroblasts from two patients with IDC were cultured in the presence or absence (control-1st row) of 1,25(OH)2D3 0.5 nM (2nd row) or 100 nM (3rd row) and processed for immunostaining with specific antibodies and DAPI for nuclear staining (on the left). (A) CA2 cytoplasmic granular staining and (B) DPP4 cytoplasmic staining appears in green. scale bar: 25μm.

Discussion

The primary goal of this work was to evaluate the transcriptional responses of breast cancer samples to physiologically relevant concentrations of 1,25(OH)2D3, using a culture model that retains features of intact tumors, such as stromal-epithelial interactions. Microarray analysis identified nine genes that were significantly altered within 24 h of exposure to 1,25(OH)2D3 0.5nM, a concentration that is physiologically achievable in patients. Of these, the vitamin D target gene CYP24A1(which codes a cytochrome P450 enzyme, that hydroxylates 25(OH)D3 and 1,25(OH)2D3 to less active forms 24,25(OH)2D3 and 1,24,25(OH)3D3) was induced over 7-fold in microarray analysis and was validated in another set of tumor samples, clearly indicating activation of VDR signaling. Additional evidence for activation of the VDR pathway in this dataset was obtained by GSEA, which indicated a trend towards the enrichment of genes sharing DR3 binding sites, a consensus motif for VDR. Comparison of microarray data from tumor slices cultured with 0.5nM vs. 100nM 1,25(OH)2D3 indicated a clear concentration effect, as the number of differentially expressed transcripts increased from nine at 0.5nM to 186 at 100nM (20 fold increment). Induction of CYP24A1 increased from 7-fold (at 0.5 nM) to 70-fold (at 100nM) - a 10 fold enhancement. In both datasets, the majority of genes (approximately 75%) were up-regulated rather than down-regulated by 1,25(OH)2D3, consistent with other array data from established cell lines cultured with high dose 1,25(OH)2D3in vitro[43-45]. In addition to CYP24A1, five other genes were commonly up-regulated in tumor slices exposed to both low and high concentrations of 1,25(OH)2D3: DPP4, KCKN3, EFTUD1, TKTL1 and CA2. All, except TKTL1 (transketolase-like 1) have been previously identified as VDR target genes in various model systems. DPP4 (dipeptidyl-peptidase 4, also called CD26) was up-regulated in artery smooth muscle cells exposed to 1,25(OH)2D3[46] and its overexpression in distinct cell types (melanocytes, non-small cell lung, prostate and neuroblastoma cells) triggered anti-tumorigenic effects including cell growth arrest, inhibition of cell migration and increased apoptosis [47]. KCNK3 (potassium channel, subfamily K, member) was induced by 1,25(OH)2D3 in artery smooth muscle cells, and EFTUD1 (elongation factor Tu GTP binding domain containing 1) in oral squamous carcinoma, breast cancer associated fibroblasts, immortalized prostate cells and lymphoblastoid cell lines [40,43-46]. CA2 (carbonic anhydrase II) mRNA appeared to be directly induced by 1,25(OH)2D3 in myelomonocytic cell lines but indirectly regulated in osteoclast progenitors, where the physical communication with stromal cells seems to be required [48,49]. CYP26B1 (cytochrome P450, family 26, subfamily b, polypeptide 1) which was up-regulated in samples treated with 1,25(OH)2D3 0.5nM, was previously identified as a vitamin D induced gene in immortalized non-transformed prostate epithelial and oral squamous carcinoma cell lines, and in silico analysis has tentatively identified a VDR binding site at this genomic region [43,44]. Other authors have analyzed physiological concentration effects of vitamin D using animal models. Vitamin D supplemented diet as well as calcitriol injections were shown to stimulate the VDR pathway, mildly increasing CYP24A1 expression (x2) in MCF-7 xenografts in immunocompromised mice [50]. Interestingly, vitamin D transcriptional effects may not overlap in tumor specimens and non-transformed mammary glands in the MMTV-neu transgenic mouse model of breast cancer, fed a high vitamin D diet [51]. Comparison between cancer and normal cells is an interesting issue, as vitamin D potential effects in cancer prevention have also been claimed. In accordance with the previous work [51], differences in transcriptional targets were also described for breast cancer associated fibroblasts (CAF) and normal adjacent fibroblasts (NAF) exposed to 1,25(OH)2D3 in a supra-physiological concentration. Among up-regulated genes 45.7% were commonly modulated in CAFs and NAFs, however, 36.4% were exclusively up-regulated in NAFs and 17.4% exclusively up-regulated in CAFs [40]. In addition, looking at overlapping genes in the Venn diagram of vitamin D up-regulated transcripts in six works [40,43-46], only seven intersections were found in non-cancer cells: AKR1B1, CRIP1, FZD8, MREG (in immortalized prostate cells and NAF), BCAT1, GCLC (in coronary artery smooth muscle cells and NAFs) and PRR6 (in immortalized prostate cells and coronary artery smooth muscle cells). Furthermore, it was reported that vitamin D response is blunted in transformed HME normal mammary cells as compared with parental normal cells [52]. The last works evaluating vitamin D effects in normal cells however, were performed using supra-physiological concentrations of 1,25(OH)2D3 (10-100nM) or analogs and the role of physiological concentrations of the hormone in normal cells is not fully established. At 100nM, 1,25(OH)2D3 exerted more extensive transcriptional effects, and at least 40 of the induced genes in breast cancer organotypic culture have already been reported as up regulated by the hormone, such as ALCAM, ARRDC4, BMP2, BMP6, CA2, CD14, CLIC6, CILP, CLMN, CYP19A1, DCLDB1, EFTUD1, EHBP1, FAM20C, FOXF1, FRAS1, GOS2, GRK5, HBGEF, HSMPP8, IL1RL1, KCNK3, KIAA0500, PKD2, RGNEF, SEMA6D, SERPINB1, SLC1A1, THBD, TIMP1, TRIM56[40,43-46]. However, co-aggregation of paired samples (treated and untreated) upon cluster analysis suggests that an individual dominant transcriptional profile was maintained, regardless of treatment. These results were not unexpected, as a high degree of transcriptional similarity was also demonstrated for matched pre and post-neoadjuvant chemotherapy, even though the chemotherapy exerts a more pronounced acute cellular effect than hormonal treatments [53-55]. Some of the genes induced by 100nM 1,25(OH)2D3 concentration are involved in TGF beta signaling pathway, in accordance with other authors [56,57]. Other genes are involved in regulation of leukocyte mediated immunity and positive regulation of alpha-beta T cell activation, including CD14, which encodes a receptor to bacterial lipopolysaccharide, as previously reported in a variety of cells as mononuclear phagocytes, normal human epidermal keratinocytes, oral squamous carcinoma, immortalized non-transformed prostate epithelial cell lines and malignant breast cells [43,56,58]. The present tumor slice model represents a heterogeneous combination of epithelial and stromal cells, in which the complex array of reciprocal interactions taking place in the tumor microenvironment, including cell-cell contacts and a variety of secreted factors, might modulate the overall response to 1,25(OH)2D3. Hence, after evaluating the hormone effects in tumor slices, the effects of 1,25(OH)2D3 0.5nM in defined populations of cancer associated fibroblasts and epithelial cells were compared. This data indicated that even though CYP24A1 was induced in both fibroblasts and epithelial cells, CD14, CA2, and IL1RL1 were primarily induced in epithelial cells. There was also a trend towards up-regulation of CA2, DPP4 and IL1RL1 in cancer associated fibroblasts. One major strengthen of this work was the comparison of achievable versus supra-physiological concentrations of 1,25(OH)2D3 in breast cancer slices, a model that preserves the epithelial-mesenchimal interactionss, indicating that effects are much less intense in near physiological concentrations. However, a weakness of this work was the small number of samples used in microarray experiments. These effects however, were later confirmed in a larger number of tumor samples and cell lines, using RT-PCR, even though they were more difficult to detect at the protein level, in face of the discrete changes induced by 0.5nM 1,25(OH)2D3.

Conclusion

Our main conclusion is that a very modest transcriptional response may be observed after exposure to 1,25(OH)2D3, within the physiological concentration range. Gene targets in breast cancer samples, including CYP24A1, DPP4 and CA2, seem to be shared by both fibroblasts and epithelial cells. A higher number of genes may be induced by a supra-physiological concentration of the hormone. Further studies employing physiological and supra-physiological concentrations may help to elucidate the hormone’s potential effects in breast cancer prevention and treatment, including calcitriol supplementation effects in post-menopausal women and calcitriol intra-tumoral effects in breast cancer xenografts.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

CM designed the study, participated in data acquisition, participated in data analysis and interpretation, drafted and revised the manuscript; MLHK designed the study, participated in data analysis and interpretation, drafted and revised the manuscript; ECL, designed the study and participated in data acquisition; JW participated in data analysis and interpretation, drafted and revised the manuscript; LTC participated in data acquisition; MMB participated in data analysis and interpretation, drafted and revised the manuscript; MSM was responsible for the study in Hosp. A. C. Camargo and participated in data acquisition; RAR participated in data acquisition; PRV participated in data acquisition; JCGSG was responsible for the study in IBCC and participated in data acquisition; SN participated in data acquisition; RET participated in data acquisition; MAAKF designed the study, participated in data analysis and interpretation, drafted and revised the manuscript. All authors read and approved the final manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2407/13/119/prepub

Additional file 1: Table S1

Primers. Click here for file

Additional file 2: Table S2

Gene sets enriched in breast tumor slices incubated in 0.5nM 1,25(OH)2D3. Click here for file

Additional file 3: Table S3

Genes differentially modulated in breast tumor slices incubated in 100 nM 1,25(OH)2D3. Click here for file

Additional file 4

Unsupervised hierarchical clustering of breast cancer tissue slices exposed to vehicle or 1,25(OH)D 100 nM. Click here for file

Additional file 5: Table 4

Correlation of gene expression values (microarray vs qPCR) evaluated in breast cancer slices. Click here for file
  58 in total

1.  Induction of carbonic anhydrase II expression in osteoclast progenitors requires physical contact with stromal cells.

Authors:  D M Biskobing; D Fan; X Fan; J Rubin
Journal:  Endocrinology       Date:  1997-11       Impact factor: 4.736

2.  Identification of a vitamin D response element in the proximal promoter of the chicken carbonic anhydrase II gene.

Authors:  I Quélo; I Machuca; P Jurdic
Journal:  J Biol Chem       Date:  1998-04-24       Impact factor: 5.157

3.  Modulation of cell cycle control by vitamin D3 and its analogue, EB1089, in human breast cancer cells.

Authors:  G Wu; R S Fan; W Li; T C Ko; M G Brattain
Journal:  Oncogene       Date:  1997-09-25       Impact factor: 9.867

4.  Topical calcipotriol treatment in advanced breast cancer.

Authors:  M Bower; K W Colston; R C Stein; A Hedley; J C Gazet; H T Ford; R C Combes
Journal:  Lancet       Date:  1991-03-23       Impact factor: 79.321

5.  A Phase I trial of calcitriol (1,25-dihydroxycholecalciferol) in patients with advanced malignancy.

Authors:  D C Smith; C S Johnson; C C Freeman; J Muindi; J W Wilson; D L Trump
Journal:  Clin Cancer Res       Date:  1999-06       Impact factor: 12.531

6.  Suppression of in vivo growth of human cancer solid tumor xenografts by 1,25-dihydroxyvitamin D3.

Authors:  J A Eisman; D H Barkla; P J Tutton
Journal:  Cancer Res       Date:  1987-01-01       Impact factor: 12.701

7.  Regulation of transforming growth factor-beta type II receptor expression in human breast cancer MCF-7 cells by vitamin D3 and its analogues.

Authors:  G Wu; R S Fan; W Li; V Srinivas; M G Brattain
Journal:  J Biol Chem       Date:  1998-03-27       Impact factor: 5.157

8.  Serum 1,25-dihydroxyvitamin D may be related inversely to disease activity in breast cancer patients with bone metastases.

Authors:  E B Mawer; J Walls; A Howell; M Davies; W A Ratcliffe; N J Bundred
Journal:  J Clin Endocrinol Metab       Date:  1997-01       Impact factor: 5.958

9.  Differential regulation of normal and tumoral breast epithelial cell growth by fibroblasts and 1,25-dihydroxyvitamin D3.

Authors:  C Gache; Y Berthois; E Cvitkovic; P M Martin; S Saez
Journal:  Breast Cancer Res Treat       Date:  1999-05       Impact factor: 4.872

10.  Action of 1,25(OH)2D3 on the cell cycle genes, cyclin D1, p21 and p27 in MCF-7 cells.

Authors:  L Verlinden; A Verstuyf; R Convents; S Marcelis; M Van Camp; R Bouillon
Journal:  Mol Cell Endocrinol       Date:  1998-07-25       Impact factor: 4.102

View more
  19 in total

1.  Evaluation of Serum Vitamin D Levels in Adolescents with Pubertal Gynecomastia.

Authors:  Melis Pehlivantürk Kızılkan; Sinem Akgül; Filiz Akbıyık; Orhan Derman; Nuray Kanbur
Journal:  Breast Care (Basel)       Date:  2016-10-13       Impact factor: 2.860

2.  Effects of Vitamin D Use on Outcomes of Psychotic Symptoms in Alzheimer Disease Patients.

Authors:  Lirong Wang; Jian Ying; Peihao Fan; Elise A Weamer; Mary Ann A DeMichele-Sweet; Oscar L Lopez; Julia K Kofler; Robert A Sweet
Journal:  Am J Geriatr Psychiatry       Date:  2019-03-27       Impact factor: 4.105

Review 3.  Comparative regulation of gene expression by 1,25-dihydroxyvitamin D3 in cells derived from normal mammary tissue and breast cancer.

Authors:  Sarah G Beaudin; Samantha Robilotto; JoEllen Welsh
Journal:  J Steroid Biochem Mol Biol       Date:  2014-09-18       Impact factor: 4.292

Review 4.  Vitamin D: Metabolism, Molecular Mechanism of Action, and Pleiotropic Effects.

Authors:  Sylvia Christakos; Puneet Dhawan; Annemieke Verstuyf; Lieve Verlinden; Geert Carmeliet
Journal:  Physiol Rev       Date:  2016-01       Impact factor: 37.312

5.  Colonic transcriptional response to 1α,25(OH)2 vitamin D3 in African- and European-Americans.

Authors:  Dereck Alleyne; David B Witonsky; Brandon Mapes; Shigeki Nakagome; Meredith Sommars; Ellie Hong; Katy A Muckala; Anna Di Rienzo; Sonia S Kupfer
Journal:  J Steroid Biochem Mol Biol       Date:  2017-02-03       Impact factor: 4.292

Review 6.  Vitamin D and breast cancer: Past and present.

Authors:  JoEllen Welsh
Journal:  J Steroid Biochem Mol Biol       Date:  2017-07-23       Impact factor: 4.292

Review 7.  Function of the vitamin D endocrine system in mammary gland and breast cancer.

Authors:  JoEllen Welsh
Journal:  Mol Cell Endocrinol       Date:  2017-06-01       Impact factor: 4.102

8.  Trastuzumab and docetaxel in a preclinical organotypic breast cancer model using tissue slices from mammary fat pad: Translational relevance.

Authors:  Loredana Vesci; Valeria Carollo; Giuseppe Roscilli; Luigi Aurisicchio; Fabiana Fosca Ferrara; Luigi Spagnoli; Rita De Santis
Journal:  Oncol Rep       Date:  2015-06-24       Impact factor: 3.906

Review 9.  The impact of vitamin D in breast cancer: genomics, pathways, metabolism.

Authors:  Carmen J Narvaez; Donald Matthews; Erika LaPorta; Katrina M Simmons; Sarah Beaudin; JoEllen Welsh
Journal:  Front Physiol       Date:  2014-06-13       Impact factor: 4.566

10.  Restoration of Vitamin D Levels Improves Endothelial Function and Increases TASK-Like K+ Currents in Pulmonary Arterial Hypertension Associated with Vitamin D Deficiency.

Authors:  Maria Callejo; Daniel Morales-Cano; Gema Mondejar-Parreño; Bianca Barreira; Sergio Esquivel-Ruiz; Miguel Angel Olivencia; Laura Moreno; Angel Cogolludo; Francisco Perez-Vizcaino
Journal:  Biomolecules       Date:  2021-05-26
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.