Identification of VDR-Responsive Gene Signatures in Breast Cancer Cells

Objectives: Defining transcriptional profiles which predict cancer cell anti-proliferative responsiveness towards 1,25-dihydroxyvitamin D 3 [1α,25(OH) 2 D 3 ] is required to improve and tailor the chemotherapeutic application of this seco-steroid hormone to individual cancer patients. Methods: We un...

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Veröffentlicht in:Oncology 2006-01, Vol.71 (1-2), p.111-123
Hauptverfasser: Towsend, Kelly, Trevino, Victor, Falciani, Francesco, Stewart, Paul M., Hewison, Martin, Campbell, Moray J.
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container_end_page 123
container_issue 1-2
container_start_page 111
container_title Oncology
container_volume 71
creator Towsend, Kelly
Trevino, Victor
Falciani, Francesco
Stewart, Paul M.
Hewison, Martin
Campbell, Moray J.
description Objectives: Defining transcriptional profiles which predict cancer cell anti-proliferative responsiveness towards 1,25-dihydroxyvitamin D 3 [1α,25(OH) 2 D 3 ] is required to improve and tailor the chemotherapeutic application of this seco-steroid hormone to individual cancer patients. Methods: We undertook a transcriptomic approach with Affymetrix human U133 GeneChips to determine responsive and resistant gene signatures in MCF-7 breast cancer cells and 1α,25(OH) 2 D 3 -resistant MCF-7 Res cells, respectively. Principal component and hierarchical clustering analyses demonstrated that the patterns of responsiveness between the 2 cell types differed clearly and were used to generate heat maps. Differentially regulated gene targets were validated with Q-RT-PCR and the biological impact upon proliferation measured. Results: In untreated MCF-7 Res cells, 163 genes were up-regulated and 274 down-regulated (with a log 2 ratio of >0.5) compared to the MCF-7 controls. Using the same gene expression threshold, 1α,25(OH) 2 D 3 treatment (100 nM, 6 h) of MCF-7 cells up-regulated 91 genes and down-regulated 5, whereas in MCF-7 Res , despite their resistance to the anti-proliferative effects, 156 genes were modulated with 91 being down-regulated. Strikingly, CYP24 was the only induced gene that was common to the genetic profiles of the 2 sets of 1α,25(OH) 2 D 3 -treated cells. Heat map analyses defined 2 sub-clusters of genes: (1) basal expression patterns associated with insensitivity towards 1α,25(OH) 2 D 3 and (2) regulated expression patterns associated with 1α,25(OH) 2 D 3 sensitivity. This latter cluster contained BAX, GADD45α, IGFBP-3, EGFR, MAPK4 and TGF-β 2 . Time course studies confirmed the 1α,25(OH) 2 D 3 regulation of TGF-β 2 in MCF-7 and non-tumourigenic MCF-12A cells but not in MCF-7 Res cells. Co-treatment of MCF-7 Res cells with exogenous TGF-β 2 plus 1α,25(OH) 2 D 3 enhanced anti-proliferative and vitamin D receptor transcriptional effects. Conclusions: Basal and regulated gene patterns can be used to predict and monitor the cellular response towards vitamin D 3 compounds and may possibly be applied as a further diagnostic tool.
doi_str_mv 10.1159/000100989
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Methods: We undertook a transcriptomic approach with Affymetrix human U133 GeneChips to determine responsive and resistant gene signatures in MCF-7 breast cancer cells and 1α,25(OH) 2 D 3 -resistant MCF-7 Res cells, respectively. Principal component and hierarchical clustering analyses demonstrated that the patterns of responsiveness between the 2 cell types differed clearly and were used to generate heat maps. Differentially regulated gene targets were validated with Q-RT-PCR and the biological impact upon proliferation measured. Results: In untreated MCF-7 Res cells, 163 genes were up-regulated and 274 down-regulated (with a log 2 ratio of &gt;0.5) compared to the MCF-7 controls. Using the same gene expression threshold, 1α,25(OH) 2 D 3 treatment (100 nM, 6 h) of MCF-7 cells up-regulated 91 genes and down-regulated 5, whereas in MCF-7 Res , despite their resistance to the anti-proliferative effects, 156 genes were modulated with 91 being down-regulated. Strikingly, CYP24 was the only induced gene that was common to the genetic profiles of the 2 sets of 1α,25(OH) 2 D 3 -treated cells. Heat map analyses defined 2 sub-clusters of genes: (1) basal expression patterns associated with insensitivity towards 1α,25(OH) 2 D 3 and (2) regulated expression patterns associated with 1α,25(OH) 2 D 3 sensitivity. This latter cluster contained BAX, GADD45α, IGFBP-3, EGFR, MAPK4 and TGF-β 2 . Time course studies confirmed the 1α,25(OH) 2 D 3 regulation of TGF-β 2 in MCF-7 and non-tumourigenic MCF-12A cells but not in MCF-7 Res cells. Co-treatment of MCF-7 Res cells with exogenous TGF-β 2 plus 1α,25(OH) 2 D 3 enhanced anti-proliferative and vitamin D receptor transcriptional effects. 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Karger AG, Basel</rights><rights>2007 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c365t-f9b1b0afceec91ae83cba13276629bd861eff4224e423de47724d5b2bcf45b053</citedby><cites>FETCH-LOGICAL-c365t-f9b1b0afceec91ae83cba13276629bd861eff4224e423de47724d5b2bcf45b053</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,2423,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=18695917$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17377416$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Towsend, Kelly</creatorcontrib><creatorcontrib>Trevino, Victor</creatorcontrib><creatorcontrib>Falciani, Francesco</creatorcontrib><creatorcontrib>Stewart, Paul M.</creatorcontrib><creatorcontrib>Hewison, Martin</creatorcontrib><creatorcontrib>Campbell, Moray J.</creatorcontrib><title>Identification of VDR-Responsive Gene Signatures in Breast Cancer Cells</title><title>Oncology</title><addtitle>Oncology</addtitle><description>Objectives: Defining transcriptional profiles which predict cancer cell anti-proliferative responsiveness towards 1,25-dihydroxyvitamin D 3 [1α,25(OH) 2 D 3 ] is required to improve and tailor the chemotherapeutic application of this seco-steroid hormone to individual cancer patients. Methods: We undertook a transcriptomic approach with Affymetrix human U133 GeneChips to determine responsive and resistant gene signatures in MCF-7 breast cancer cells and 1α,25(OH) 2 D 3 -resistant MCF-7 Res cells, respectively. Principal component and hierarchical clustering analyses demonstrated that the patterns of responsiveness between the 2 cell types differed clearly and were used to generate heat maps. Differentially regulated gene targets were validated with Q-RT-PCR and the biological impact upon proliferation measured. Results: In untreated MCF-7 Res cells, 163 genes were up-regulated and 274 down-regulated (with a log 2 ratio of &gt;0.5) compared to the MCF-7 controls. Using the same gene expression threshold, 1α,25(OH) 2 D 3 treatment (100 nM, 6 h) of MCF-7 cells up-regulated 91 genes and down-regulated 5, whereas in MCF-7 Res , despite their resistance to the anti-proliferative effects, 156 genes were modulated with 91 being down-regulated. Strikingly, CYP24 was the only induced gene that was common to the genetic profiles of the 2 sets of 1α,25(OH) 2 D 3 -treated cells. Heat map analyses defined 2 sub-clusters of genes: (1) basal expression patterns associated with insensitivity towards 1α,25(OH) 2 D 3 and (2) regulated expression patterns associated with 1α,25(OH) 2 D 3 sensitivity. This latter cluster contained BAX, GADD45α, IGFBP-3, EGFR, MAPK4 and TGF-β 2 . Time course studies confirmed the 1α,25(OH) 2 D 3 regulation of TGF-β 2 in MCF-7 and non-tumourigenic MCF-12A cells but not in MCF-7 Res cells. Co-treatment of MCF-7 Res cells with exogenous TGF-β 2 plus 1α,25(OH) 2 D 3 enhanced anti-proliferative and vitamin D receptor transcriptional effects. 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Methods: We undertook a transcriptomic approach with Affymetrix human U133 GeneChips to determine responsive and resistant gene signatures in MCF-7 breast cancer cells and 1α,25(OH) 2 D 3 -resistant MCF-7 Res cells, respectively. Principal component and hierarchical clustering analyses demonstrated that the patterns of responsiveness between the 2 cell types differed clearly and were used to generate heat maps. Differentially regulated gene targets were validated with Q-RT-PCR and the biological impact upon proliferation measured. Results: In untreated MCF-7 Res cells, 163 genes were up-regulated and 274 down-regulated (with a log 2 ratio of &gt;0.5) compared to the MCF-7 controls. Using the same gene expression threshold, 1α,25(OH) 2 D 3 treatment (100 nM, 6 h) of MCF-7 cells up-regulated 91 genes and down-regulated 5, whereas in MCF-7 Res , despite their resistance to the anti-proliferative effects, 156 genes were modulated with 91 being down-regulated. Strikingly, CYP24 was the only induced gene that was common to the genetic profiles of the 2 sets of 1α,25(OH) 2 D 3 -treated cells. Heat map analyses defined 2 sub-clusters of genes: (1) basal expression patterns associated with insensitivity towards 1α,25(OH) 2 D 3 and (2) regulated expression patterns associated with 1α,25(OH) 2 D 3 sensitivity. This latter cluster contained BAX, GADD45α, IGFBP-3, EGFR, MAPK4 and TGF-β 2 . Time course studies confirmed the 1α,25(OH) 2 D 3 regulation of TGF-β 2 in MCF-7 and non-tumourigenic MCF-12A cells but not in MCF-7 Res cells. Co-treatment of MCF-7 Res cells with exogenous TGF-β 2 plus 1α,25(OH) 2 D 3 enhanced anti-proliferative and vitamin D receptor transcriptional effects. Conclusions: Basal and regulated gene patterns can be used to predict and monitor the cellular response towards vitamin D 3 compounds and may possibly be applied as a further diagnostic tool.</abstract><cop>Basel, Switzerland</cop><pub>Karger</pub><pmid>17377416</pmid><doi>10.1159/000100989</doi><tpages>13</tpages></addata></record>
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source Karger Journals; MEDLINE
subjects Biological and medical sciences
Biomarkers, Tumor - metabolism
Breast Neoplasms - genetics
Calcitriol - pharmacology
Drug Resistance, Neoplasm
Female
Gene Expression Profiling
Gene Expression Regulation, Neoplastic - drug effects
Gynecology. Andrology. Obstetrics
Humans
Laboratory Investigation
Mammary gland diseases
Medical sciences
Oligonucleotide Array Sequence Analysis
Receptors, Calcitriol - genetics
Reverse Transcriptase Polymerase Chain Reaction
RNA, Messenger - genetics
RNA, Messenger - metabolism
Tumor Cells, Cultured
Tumors
Vitamin D Response Element - genetics
title Identification of VDR-Responsive Gene Signatures in Breast Cancer Cells
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