Analysis of the Polycomb-related lncRNAs HOTAIR and ANRIL in bladder cancer
Clinical Epigenetics volume 7, Article number: 109 (2015)
Long non-coding RNAs (lncRNAs) have been claimed as key molecular players in gene expression regulation, being involved in diverse epigenetic processes. They are aberrantly expressed in various tumors, but their exact role in bladder cancer is still obscure. We have recently found a major role of the Polycomb repression complex in recurrence of non-muscle-invasive bladder cancer. Here, we report the xpression of Polycomb-related lncRNAs:antisense noncoding RNA in the INK4 locus (ANRIL) and HOX antisense intergenic RNA (HOTAIR) in these tumors.
We studied a dataset of non-invasive bladder cancer samples by quantitative reverse transcription PCR (RT-qPCR) and analyzed also invasive bladder cancer samples using TCGA data. Our results showed that, while ANRIL seemed not to have a determining role, an increased HOTAIR expression appeared in recurrent and high-graded tumors associated with poor prognosis. In addition, through genome-wide transcriptome analyses, we observed that HOTAIR-EZH2-complex-regulated genes can efficiently discriminate between non-tumoral, recurrent, and non-recurrent bladder cancer samples. We also observed a significant correlation between EZH2 and HOTAIR expression levels. Using overexpression, knockdown, and pharmacological approaches in bladder cancer cell lines, we also observed that EZH2 regulates HOTAIR expression.
Our findings indicate that HOTAIR expression has prognostic value for bladder cancer progression, recurrence, and survival and suggest that HOTAIR plays active roles in modulating the cancer epigenome, becoming an interesting candidate as a target for cancer diagnosis and therapy. The observed HOTAIR regulation by EZH2 and the possibility of modulating EZH2 activity with specific inhibitors open new possible paths to be explored in bladder cancer therapy.
In the past decades, little progress has been achieved in the development of biomarkers for bladder cancer (BC), in spite of its high prevalence and of being a leading cause of cancer-associated deaths in developed countries. At diagnosis, 75 % of cases are categorized as superficial tumors, Ta or T1 (localized in the mucosa or submucosa, referred as non-muscle-invasive bladder cancer: NMIBC) while 25 % are already invasive cancer, T2–T4 (muscle-invasive bladder cancer: MIBC). In the case of NMIBC, recurrences are frequent, requiring continuous surveillance and becoming one of the most costly cancers to treat. Despite its lower prevalence, MIBC is typically associated with a relatively poor prognosis (5-year survival ranging from 30 to 70 %). The current gold-standard treatment, in the best of the cases, is the surgical removal of the bladder, with the subsequent impairment in quality of life, followed by radio-chemotherapy [1, 2].
RNA molecules of more than 200 nucleotides in length and a lack of protein-coding potential are collectively referred to as long non-coding RNAs (lncRNAs) . Recently, increasing evidence suggests that lncRNAs regulate key pathways in cancer , constituting attractive novel prognostic markers and therapeutic targets . Most lncRNAs function with DNA-binding proteins, such as chromatin-modifying complexes, and epigenetically regulate the expression of multiple genes .
LncRNA HOX antisense intergenic RNA(HOTAIR) is transcribed in the antisense direction from the HOXC gene cluster  and recruits Polycomb Repression Complex 2 (PRC2) to specific target genes genome-wide, leading to H3K27 trimethylation and epigenetic silencing of gene expression . HOTAIR has been shown to be upregulated in cancer tissues and metastases, and its expression level correlates in general with metastasis and poor outcome in multiple cancer types [3–5, 7–10].
ANRIL is another example of lncRNA that is claimed as a participant directly in epigenetic transcriptional repression [11, 12]. ANRIL is transcribed from the INK4B-ARF-INK4A gene locus and binds to CBX7 , which belongs to Polycomb Repression Complex 1 (PRC1), to control the expression of p16INK4a, p15INK4b, and p14ARF tumor suppressor genes . ANRIL also binds SUZ12, recruiting PRC2, and repressing the expression of the p15INK4B locus . Based on these data, ANRIL would play dual roles, serving as a scaffold for both PRC1 and PRC2, as shown for HOTAIR .
Recently, we provided evidence from human patient samples and a novel transgenic mouse model that EZH2, the catalytic subunit of PRC2, mediates recurrence in NMIBC through gene expression modulation . Here, we report the expression analysis of HOTAIR and ANRIL, which cooperate with PRC2 to allow specific gene repression and their possible roles as prognostic biomarkers in bladder cancer.
Subjects and methods
A series of 85 NMIBC patients has been analyzed and consecutively evaluated at the Urology Department of the University Hospital “12 de Octubre,” between October 2009 and December 2012 (Additional file 1: Table S1). Samples were collected by multiple cold-cup biopsies from the exophytic part of the tumor and from distant normal mucosa of the bladder of patients undergoing TUR. All samples were kept in RNAlater. Informed consent was obtained from all patients, and the study was approved by the Ethical Committee for Clinical Research of University Hospital “12 de Octubre.” Samples and united data from patients included in this study were provided by the Biobanco iþ12 in the Hospital 12 de Octubre integrated in the Spanish Hospital Biobanks Network (RetBioH; www.redbiobancos.es) following standard operation procedures with appropriate approval of the by the Ethical Committee for Clinical Research of University Hospital “12 de Octubre” (CEIC 10/50). The construction of a tissue microarray and analysis of EZH2 expression by immunohistochemistry has been reported elsewhere [16, 17].
Total RNA was isolated using miRNeasy Mini Kit (Qiagen) according to the manufacturer’s instructions, and DNA was eliminated (RNAse-Free DNAse Set Qiagen). Reverse transcription was performed from 10 ng of total RNA and using the Omniscript RT Kit (Qiagen) and specific primers for all genes of interest. PCR was performed in a 7500 Fast Real Time PCR System using Go Taq PCR master mix (Promega) and 1 μL of cDNA as a template. Melting curves were performed to verify specificity and absence of primer dimers. Reaction efficiency was calculated for each primer combination, and the TBP gene was used as the reference gene for normalization . The sequences of the specific oligonucleotides used are listed in Additional file 1: Table S2.
Whole transcriptome analysis
Genome-wide transcriptome experiments using the Affymetrix HuGene-1_0-st-v1 microarray have been previously reported , and datasets have been deposited in GEO (GSE38264).
Ten bladder cancer cell lines (Additional file 1: Table S3), kindly provided by Dr. FX Real (CNIO, Spain) , were maintained in DMEM GlutaMAX™ (Gibco-BRL Life Technologies) with 10 % fetal bovine serum (Hyclone) and 1 % antibiotic-antimycotic (Gibco-BRL Life Technologies) at 37 °C in a humidified atmosphere of 5 % CO2. Six different drugs (NVP-BEZ35 50 nM (LC Laboratories), Rapamycin 50 nM (LC Laboratories), Thyrphostin 100 μM (Sigma-Aldrich), Sb31542 10 nM (Sigma-Aldrich), DZNep 10 μM (Sigma-Aldrich), PD98059 10 μM (Sigma-Aldrich)) targeting key pathways (mTOR, Stat3, TGFβ, EZH2, and MAPK/ERK, respectively) were applied on a MGH-U4 non-muscle-invasive cell line for 6 h. In addition, DZNeP (10 μM) treatment was also applied at different time durations (0, 6, 24, and 48 h). For the knockdown of EZH2, the 5637 cell line was transduced with lentivirus-based shRNA (MISSION® shRNA, Sigma Aldrich) targeting human EZH2 gene (two independent shRNA constructs: TRCN0000353069 and TRCN0000286227). Cells were selected by puromycin (0.5 μg/mL; Sigma-Aldrich) resistance for 2 weeks, and pooled clones were collected. For the increased expression of EZH2, the RT112 cell line was transfected, using FuGENE®6 Transfection Reagent (Promega), with an EZH2-coding plasmid under CMV promoter. Transfected cells were selected by growing in the presence of hygromycin (250 μg/mL; Sigma-Aldrich), and pooled clones were collected.
Pelleted cells were disrupted by freeze-thawing cycles in lysis buffer [200 mmol/L 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid, pH 7.9, 25 % glycerol, 400 mmol/L NaCl, 1 mmol/L EDTA, 1 mmol/L ethylene glycol tetraacetic acid, 1 mg/mL aprotinin, 1 mg/mL leupeptin, 1 mmol/L phenylmethylsulfonylfluoride, 20 mmol/L NaF, 1 mmol/L NaPPi, 1 mmol/L Na3VO4, 2.5 mmol/L dithiothreitol] and centrifuged to obtain supernatant containing total protein. Thirty-five micrograms of protein per sample was resolved in SDS-PAGE and transferred to nitrocellulose membranes (Amersham). Membranes were blocked with 0.1 % Tween-20 with 5 % bovine serum albumin (BSA) diluted in TBS and incubated with the appropriate antibodies diluted in TBS-T 0.5 % BSA. Secondary antibodies were purchased from Jackson Immuno Research. Super Signal West Pico Chemiluminescence Substrate (Pierce) was used according to the manufacturer’s recommendations to visualize the bands. Antibodies used are against EZH2 (Abnova MAB9542), AKT-P-Ser473 (Epitomics 2118-1), AKT-P-Thr308 (Cell Signaling 4056), and ERK-P-1/2 (Cell signaling 4370). Loading was controlled by using anti-GAPDH antibody (Santa Cruz sc-25778) and anti-ACTIN antibody (Santa Cruz sc-1616).
Comparisons were performed using the Wilcoxon-Mann-Whitney test (for two groups), Limma test, and the Student t-test for paired samples showing normal distribution. For multiple groups, the Kruskal-Wallis test followed by Dunn’s multiple comparison test was used. Correlations were calculated using Pearson correlation coefficient. Survival analyses (recurrence-free or overall survival), according to various variables, were performed using the Kaplan-Meier method, and differences between the patient groups were tested by the log-rank test. p values less than 0.05 were considered statistically significant. Discrimination between samples showing increased or decreased gene expression was made using the median. Overlapping significance was monitored by exact Fisher test. SPSS 17.0, R statistical software v2.15.1, and Graph prism5.0 software were used for processing of data. In the figures, p values are provided as follows: *p < 0.05; **p < 0.01; ***p < 0.005; ****p < 0.0001.
Results and discussion
Expression of HOTAIR in NMIBC
High expression levels of HOTAIR have been proven to correlate with metastasis and poor prognosis in many types of cancer . However, its role during bladder oncogenesis is still to be clarified. In the present study, we determined the gene expression levels of HOTAIR, PRC2 members (EZH2, SUZ12, EED), and BMI1 (PRC1) by qPCR in a series of NMIBC patients (n = 64). We observed a significant and positive correlation between HOTAIR and all PRC2 members and BMI1 (Fig. 1a and Additional file 2: Figure S1A–C). Regarding the HOTAIR gene levels, we observed that compared to normal paired samples its levels were increased in tumors regardless their different grades (Fig. 1b) or stages (Fig. 1c). This finding is in agreement with other cancers [4, 5, 20, 21] and with a recently reported study of bladder cancer from a Chinese population .
Expression of ANRIL in NMIBC
No data are available on the possible role of ANRIL in BC. Since it mediates silencing p15INK4b by binding to SUZ12 , and p16INK4a locus through CBX7 (a PRC1 component) recruitment , which is frequently silenced in BC , we analyzed its expression in our patient dataset. The qPCR data revealed, as in the case of HOTAIR, a significant positive correlation between ANRIL and all PRC2 members and BMI-1 (Fig. 1d and Additional file 2: Figure S1D–F). However, no differences were found between normal and tumor samples regardless their grade (Fig. 1e) or stage (Fig. 1f).
HOTAIR mediates recurrence and progression in NMIBC
The high frequency of recurrence is a current clinical problem in NMIBC. To analyze whether ANRIL or HOTAIR expression could be a recurrence determinant, we characterized their expression in primary tumors that have subsequently developed recurrence or not after a follow-up period (Additional file 1: Table S1). In the case of ANRIL, its expression levels could not discriminate between recurrent and non-recurrent tumors (Additional file 3: Figure S2). This lack of correlation, together with the previous results, showing no major differences in normal and tumor samples or according tumor clinicopathological characteristics, supports that this lncRNA does not seem to have a major role in NMIBC.
Interestingly, recurrent tumors showed a significantly higher HOTAIR expression in comparison with non-recurrent tumors (Fig. 2a). In fact, when patients were stratified according high or low HOTAIR levels (above or below median), those patients with higher HOTAIR expression exhibited significantly earlier recurrence (Fig. 2b).
HOTAIR recruits the PRC2 complex to specific target genes, which leads to H3K27 trimethylation and epigenetic silencing, and a large number of genes have been previously identified by the binding of HOTAIR-EZH2 complexes [7, 24]. We thus used this gene dataset in our previous genome-wide transcriptome data of human NMIBC samples . Remarkably, the expression of the HOTAIR-EZH2 target genes could efficiently discriminate between recurrent and non-recurrent tumors, as well as non-tumor bladder tissue in an unsupervised manner (Fig. 2c). These results reinforce that the altered gene expression programs displayed by NMIBC with a high-recurrence probability are mediated by HOTAIR-EZH2 complexes. Therefore, our current results indicated that HOTAIR might be a potential prognostic biomarker for recurrence.
Tumor progression, defined as an increased tumor stage or grade in recurrences, is a common clinical problem in the management of BC. In our series, 11 out of 33 patients (Additional file 1: Table S1) displayed tumor progression. To analyze whether increased HOTAIR expression could define a progression biomarker, we determined the HOTAIR levels in recurrent samples according to the tumor progression. We found that primary tumors in patients displaying tumor progression were characterized by increased HOTAIR levels (Fig. 2d). Similarly, those patients with high HOTAIR expression exhibited significantly (p = 0.03) earlier progression in recurrences (Fig. 2e).
HOTAIR expression in MIBC
Since in our patient sample series (see Additional file 1: Table S1) there is a higher representation of non-muscle-invasive bladder cancer samples (87 %) compared to T2 samples (n = 11), we also prompted to analyze any potential roles of HOTAIR expression in muscle-invasive (T2–4) tumors. To this, we have used the RNA-seq data available at the TCGA Data Portal (https://tcga-data.nci.nih.gov/tcga/). We observed no significant differences between normal and tumor samples (Fig. 3a), probably due to the low representation of normal bladder samples in this dataset. The comparison between grades was not possible since all the samples available for RNA-seq analyses with clinical information are high grade. In the case of stages, a significant increase (p = 0.006) in HOTAIR expression was found according to cancer progression (Fig. 3b), finding higher levels when the cancer spreads across muscle layers (T2 stage) to the surrounding organs (T4). These results suggest that HOTAIR is a potential epigenetic marker of the molecular stages of bladder cancer. Finally, the Kaplan-Meier analysis showed that patients who had higher HOTAIR expression (above median) had significantly shorter overall survival than those with lower expression (Fig. 3c). This finding indicates that HOTAIR could represent a powerful independent prognostic factor of malignant progression, recurrence, and overall survival rate in BC. Similar findings have been recently reported for several other types of cancer [4, 5, 7, 8, 20, 21].
The role of methylation
Since methylation of HOTAIR has already been reported , we wondered if these differences in HOTAIR expression could be due to differences in HOTAIR methylation. Using Illumina HumanMethylation450 Array data from the TCGA portal, no relevant DNA methylation differences were found between normal and tumor samples along the HOTAIR gene body (Additional file 4: Figure S3A). Using the same system, when normal and tumor samples were checked in a different patient dataset, including our low-grade samples and high-grade samples from UCL (personal communication), again no significant differences were found (Additional file 4: Figure S3B). Similarly, the comparison between low- and high-grade tumor samples showed no significant differences in HOTAIR methylation; the differences are even smaller (Additional file 4: Figure S3C). These results indicate that DNA methylation, at least regarding the assayed sites, cannot determine the differences in HOTAIR expression between normal tissue and tumors or between low- and high-grade tumors.
Functional evidence of association between EZH2 and HOTAIR expression
The precise regulatory mechanisms affecting HOTAIR expression are still largely unknown. The positive correlation observed between EZH2 and HOTAIR levels (Fig. 1a) might indicate a co-regulatory process. Similarly, we observed a trend of positive correlation in samples showing high EZH2 protein expression (Additional file 5: Figure S4).
The analysis of HOTAIR and EZH2 expression in nine different non-invasive bladder cancer cell lines also showed that those cells showing high EZH2 protein levels also displayed high HOTAIR expression (Fig. 4a), thus reinforcing their co-regulation. To test whether EZH2 could modulate HOTAIR expression, we performed knockdown of EZH2 in 5637 cells (a MIBC cell line showing the highest EZH2 expression; not shown). We observed that the reduction of EZH2 is accompanied with a substantial reduction of HOTAIR levels (Fig. 4b). Similarly, the increased expression of EZH2 by transfection of RT112 cells is also in parallel with increased expression of HOTAIR (Fig. 4c). These findings indicate that EZH2 could regulate the expression of HOTAIR.
We next studied the effect of various pharmacological inhibitors (described in the “Subjects and methods” section) of several key cancer signal transduction pathways in the MGH-U4 cell line. We observed that only the EZH2-specific inhibitor DZNep [26, 27] produced a significant decrease in HOTAIR expression (Fig. 4d). In agreement, the treatment with DZNep for different time periods within these cells, revealed that 6 h of treatment, was sufficient to lower HOTAIR levels (Fig. 4e). These results suggest that the activity of EZH2 is required to modulate HOTAIR expression. However, whether this regulation is executed directly or indirectly remains to be elucidated in the future.
Differential regulation of long non-coding RNAs has been reported in different types of cancer although their functional mechanisms are still unknown and intriguing. Our experiments show a poor involvement of ANRIL in BC, while confirming an upregulation of HOTAIR gene expression levels in recurrent and high-graded tumors associated with a poor prognosis, in both NMIBC and MIBC. In this context, we have recently shown that EZH2 mediates recurrence in NMIBC, being also upregulated in tumor samples and especially in recurrent tumors .The current study gives an insight into the regulation of HOTAIR, indicating that EZH2 may regulate HOTAIR expression. This finding might have therapeutic implications for the treatment of recurrent NMIBC, since there are several EZH2 inhibitors in preclinical studies that can be of interest as therapeutic tools in tumors showing increased HOTAIR expression. The present data also indicate that such inhibition may result in decreased HOTAIR levels, favoring the rewiring of gene expression as a possible therapeutic strategy.
Gallagher DJ, Milowsky MI. Bladder cancer. Curr Treat Options Oncol [Internet]. 2009 Aug [cited 2014 Sep 25];10(3–4):205–15. Available from: http://www.ncbi.nlm.nih.gov/pubmed/19771524
Miñana B, Cózar JM, Palou J, Unda Urzaiz M, Medina-Lopez RA, Subirá Ríos J, et al. Bladder cancer in Spain 2011: population based study. J Urol [Internet]. 2014 Feb [cited 2015 Mar 16];191(2):323–8. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23994371
Gutschner T, Diederichs S. © 2012 Landes Bioscience . Do not distribute . 2012;(June):703–19
Geng YJ, Xie SL, Li Q, Ma J, Wang GY. Large intervening non-coding RNA HOTAIR is associated with hepatocellular carcinoma progression. J Int Med Res [Internet]. 2011 Jan;39(6):2119–28. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22289527
Kogo R, Shimamura T, Mimori K, Kawahara K, Imoto S, Sudo T, et al. Long noncoding RNA HOTAIR regulates polycomb-dependent chromatin modification and is associated with poor prognosis in colorectal cancers. Cancer Res [Internet]. 2011 Oct 15 [cited 2015 Feb 3];71(20):6320–6. Available from: http://www.ncbi.nlm.nih.gov/pubmed/21862635
Rinn JL, Kertesz M, Wang JK, Squazzo SL, Xu X, Brugmann SA, et al. Functional demarcation of active and silent chromatin domains in human HOX loci by noncoding RNAs. Cell [Internet]. 2007 Jun 29 [cited 2014 Jul 16];129(7):1311–23. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2084369&tool=pmcentrez&rendertype=abstract
Gupta R a, Shah N, Wang KC, Kim J, Horlings HM, Wong DJ, et al. Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis. Nature [Internet]. Nature Publishing Group; 2010 Apr 15 [cited 2015 Feb 15];464(7291):1071–6. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3049919&tool=pmcentrez&rendertype=abstract
Nie Y, Liu X, Qu S, Song E, Zou H, Gong C. Long non-coding RNA HOTAIR is an independent prognostic marker for nasopharyngeal carcinoma progression and survival. Cancer Sci [Internet]. 2013 Apr [cited 2015 Feb 24];104(4):458–64. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23281836
Li J, Wang Y, Yu J, Dong R, Qiu H. A high level of circulating HOTAIR is associated with progression and poor prognosis of cervical cancer. Tumour Biol [Internet]. 2014 Oct 31 [cited 2015 Feb 24]; Available from: http://www.ncbi.nlm.nih.gov/pubmed/25366139
Okugawa Y, Toiyama Y, Hur K, Toden S, Saigusa S, Tanaka K, et al. Metastasis-associated long non-coding RNA drives gastric cancer development and promotes peritoneal metastasis. Carcinogenesis [Internet]. 2014 Dec [cited 2015 Feb 23];35(12):2731–9. Available from: http://www.ncbi.nlm.nih.gov/pubmed/25280565
Zhang K, Sun X, Zhou X, Han L, Chen L. Long non-coding RNA HOTAIR promotes glioblastoma cell cycle progression in an EZH2 dependent manner. Oncotarget. 2015;6(1):537-46.
Yap KL, Li S, Muñoz-Cabello AM, Raguz S, Zeng L, Mujtaba S, et al. Molecular interplay of the noncoding RNA ANRIL and methylated histone H3 lysine 27 by polycomb CBX7 in transcriptional silencing of INK4a. Mol Cell [Internet]. 2010 Jun 11 [cited 2015 Mar 25];38(5):662–74. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2886305&tool=pmcentrez&rendertype=abstract
Popov N, Gil J. Epigenetic regulation of the INK4b-ARF-INK4a locus. Epigenetics [Internet]. 2014 Oct 27 [cited 2015 Feb 24];5(8):685–90. Available from: http://www.tandfonline.com/doi/abs/10.4161/epi.5.8.12996
Kotake Y, Nakagawa T, Kitagawa K, Suzuki S, Liu N, Kitagawa M, et al. Long non-coding RNA ANRIL is required for the PRC2 recruitment to and silencing of p15(INK4B) tumor suppressor gene. Oncogene [Internet]. 2011 Apr 21 [cited 2015 Mar 25];30(16):1956–62. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3230933&tool=pmcentrez&rendertype=abstract
Tano K, Akimitsu N. Long non-coding RNAs in cancer progression. Front Genet [Internet]. 2012 Jan [cited 2015 Feb 24];3(October):219. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3479403&tool=pmcentrez&rendertype=abstract
Santos M, Martínez-Fernández M, Dueñas M, García-Escudero R, Alfaya B, Villacampa F, et al. In vivo disruption of an Rb-E2F-Ezh2 signaling loop causes bladder cancer. Cancer Res [Internet]. 2014 Nov 15 [cited 2015 Jan 27];74(22):6565–77. Available from: http://www.ncbi.nlm.nih.gov/pubmed/25252918
Dueñas M, Martínez-Fernández M, García-Escudero R, Villacampa F, Marqués M, Saiz-Ladera C, et al. PIK3CA gene alterations in bladder cancer are frequent and associate with reduced recurrence in non-muscle invasive tumors. Mol Carcinog [Internet]. 2013 Dec 18 [cited 2014 Sep 29];(October):1–11. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24347284
Ohl F, Jung M, Radonić A, Sachs M, Loening S a, Jung K. Identification and validation of suitable endogenous reference genes for gene expression studies of human bladder cancer. J Urol [Internet]. 2006 May [cited 2014 Sep 25];175(5):1915–20. Available from: http://www.ncbi.nlm.nih.gov/pubmed/16600798
Earl J, Rico D, Carrillo-de-Santa-Pau E, Rodríguez-Santiago B, Méndez-Pertuz M, Auer H, et al. The UBC-40 urothelial bladder cancer cell line index: a genomic resource for functional studies. BMC Genomics [Internet]. 2015 May 22 [cited 2015 Jun 2];16(1):403. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4470036&tool=pmcentrez&rendertype=abstract
Li D, Feng J, Wu T, Wang Y, Sun Y, Ren J, et al. Long intergenic noncoding RNA HOTAIR is overexpressed and regulates PTEN methylation in laryngeal squamous cell carcinoma. Am J Pathol [Internet]. American Society for Investigative Pathology; 2013 Jan [cited 2014 Sep 21];182(1):64–70. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23141928
Kim HJ, Lee DW, Yim GW, Nam EJ, Kim S, Kim SW, et al. Long non-coding RNA HOTAIR is associated with human cervical cancer progression. Int J Oncol [Internet]. 2015 Feb [cited 2015 Mar 25];46(2):521–30. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4277242&tool=pmcentrez&rendertype=abstract
Yan T-H, Lu S-W, Huang Y-Q, Que G-B, Chen J-H, Chen Y-P, et al. Upregulation of the long noncoding RNA HOTAIR predicts recurrence in stage Ta/T1 bladder cancer. Tumour Biol [Internet]. 2014 Oct [cited 2015 Feb 24];35(10):10249–57. Available from: http://www.ncbi.nlm.nih.gov/pubmed/25030736
Knowles M a., Hurst CD. Molecular biology of bladder cancer: new insights into pathogenesis and clinical diversity. Nat Rev Cancer [Internet]. Nature Publishing Group; 2014 Dec 23 [cited 2014 Dec 23];15(1):25–41. Available from: http://www.nature.com/doifinder/10.1038/nrc3817
Khalil AM, Guttman M, Huarte M, Garber M, Raj A, Rivea Morales D, et al. Many human large intergenic noncoding RNAs associate with chromatin-modifying complexes and affect gene expression. Proc Natl Acad Sci U S A. 2009;106(28):11667–72. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2704857&tool=pmcentrez&rendertype=abstract.
Lu L, Zhu G, Zhang C, Deng Q, Katsaros D, Mayne ST, et al. Association of large noncoding RNA HOTAIR expression and its downstream intergenic CpG island methylation with survival in breast cancer. Breast Cancer Res Treat [Internet]. 2012 Dec [cited 2015 Feb 15];136(3):875–83. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23124417
Zhang P, Yang X, Ma X, Ingram DR, Lazar AJ, Torres KE, et al. Antitumor effects of pharmacological EZH2 inhibition on malignant peripheral nerve sheath tumor through the miR-30a and KPNB1 pathway. Mol Cancer. 2015;14(1):1–12. Available from: http://www.molecular-cancer.com/content/14/1/55.
Girard N, Bazille C, Lhuissier E, Benateau H, Llombart-Bosch A, Boumediene K, et al. 3-Deazaneplanocin A (DZNep), an inhibitor of the histone methyltransferase EZH2, induces apoptosis and reduces cell migration in chondrosarcoma cells. PLoS One. 2014;9(5):3–10.
We sincerely acknowledge Dr. FX Real (CNIO, Madrid, Spain) for providing us the bladder cancer cell lines. MMF was supported by a Juan de la Cierva (JCI-2010-06167) and EMBO (EMBO ASTF 81-2014/Award) fellowships. This study was funded by the following: MINECO grant SAF2012-34378, Comunidad Autónoma de Madrid grant S2010/BMD-2470 (Oncocycle Program), AES grant ISCIII-RETIC RD12/0036/0009 to J.M. Paramio, and grant AP99782012 from MMA Foundation to M. Dueñas. The results are in part based upon data generated by the TCGA Research Network: http://cancergenome.nih.gov/
The authors declare that they have no competing interests.
MMF, AF, MD, and SB carried out the molecular genetic studies. MMF, CS, CR, MF, FFLC, and MD carried out cell line work. FV, JD, MJG, and DC participated in the acquisition of patient samples and corresponding clinicopathological data. JLRP carried out the pathological analysis of the samples and tissue microarray construction. MMF, MD, FR and JMP participated in the design and coordination of the study. JMP conceived and supervised the study. All authors read and approved the final manuscript.
Baseline Characteristics of the patients and Clinical and pathological results in the series. Table S2. Oligo sequences. Table S3. Cell Lines Used. (DOCX 31 kb)
Correlation between HOTAIR and ANRIL with all PRC2 members and BMI-1. (PDF 124 kb)
Expression of ANRIL in non recurrent and recurrent tumor samples. (JPEG 139 kb)
Methylation along the HOTAIR gene body. (PDF 329 KB)
Expression of HOTAIR in samples with positive and negative staining in TMA. (JPEG 152 KB)
About this article
Cite this article
Martínez-Fernández, M., Feber, A., Dueñas, M. et al. Analysis of the Polycomb-related lncRNAs HOTAIR and ANRIL in bladder cancer. Clin Epigenet 7, 109 (2015). https://doi.org/10.1186/s13148-015-0141-x
- Bladder cancer