Literature DB >> 28032932

Androgen-induced lncRNA POTEF-AS1 regulates apoptosis-related pathway to facilitate cell survival in prostate cancer cells.

Aya Misawa1, Ken-Ichi Takayama1,2, Tetsuya Fujimura3, Yukio Homma3, Yutaka Suzuki4, Satoshi Inoue1,2,5.   

Abstract

Although long non-coding RNAs (lncRNAs) have been associated with a variety of cancers, the interplay between lncRNAs and androgen receptor signaling in prostate cancer is still unclear. We identified an androgen-dependent lncRNA, POTEF-AS1, whose expression was regulated by androgen receptor in two androgen-dependent cells by using directional RNA sequencing analysis. POTEF-AS1 promoted cell growth, repressed genes related to the Toll-like receptor signaling and apoptosis pathways, and inhibited apoptosis in docetaxel-treated LNCaP cells. These findings suggest that POTEF-AS1 would play a key role in the progression of prostate cancer by repressing Toll-like receptor signaling.
© 2016 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association.

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Keywords:  zzm321990zzm321990ARzzm321990zzm321990; zzm321990TLR3zzm321990; zzm321990TNFSF10zzm321990; lncRNA; prostate cancer

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Year:  2017        PMID: 28032932      PMCID: PMC5378265          DOI: 10.1111/cas.13151

Source DB:  PubMed          Journal:  Cancer Sci        ISSN: 1347-9032            Impact factor:   6.716


Long non‐coding RNAs (lncRNAs) are RNA transcripts that are more than 200 nt long but have little protein‐coding potential. Evidence suggests that ncRNAs have essential roles in tumorigenesis and that aberrant expression of lncRNAs in prostate cancer is associated with disease progression.1 Androgen receptor (AR) and its downstream signaling have a crucial role in the development and progression of both localized and advanced metastatic prostate cancer.2, 3, 4 Although high‐risk localized prostate cancer is treated with androgen deprivation therapies in addition to surgery and radiotherapy, many prostate cancers inevitably escape from androgen dependence, leading to castration‐resistant prostate cancer (CRPC).5 Past studies have revealed that elevated AR expression,2 activation of AR transcription,6 and expression of AR variants7 were observed in the progression to CRPC, suggesting the importance of identifying AR downstream signals and new molecular mechanisms for AR activation to improve the treatment of CRPC. In a previous study, we analyzed the global AR transcriptional network by mapping genome‐wide transcriptional start sites regulated by androgen and AR binding sites.8 We showed the functional role of an lncRNA located at the antisense (AS) region of the C‐terminal binding protein 1 (CTBP1) gene, CTBP1‐AS, in promoting castration‐resistant prostate tumor growth by regulating epigenetically cancer‐associated genes.9 We undertook further comprehensive study using directional RNA sequencing (RNA‐Seq) analysis in two AR‐positive prostate cancer cell lines and CRPC model cell lines.10 Then, we found another AR‐targeted lncRNA located at the AS region of suppressor of cytokine signaling 2 (SOCS2), SOCS2AS1. SOCS2AS1 is upregulated in CRPC model cells. It promotes androgen signaling by regulating epigenetic function of AR and inhibits apoptosis induced by docetaxel. These studies revealed the importance of androgen‐regulated AS lncRNAs for prostate cancer progression. In the present study, we focused on lncRNAs located in the AS regions of genes from the NCBI Reference Sequence Database (RefSeq; https://www.ncbi.nlm.nih.gov/refseq/). We then found another androgen‐regulated lncRNA transcribed from the AS strand of prostate, ovary, testis expressed protein family member‐F (POTEF) gene and we named it POTEFAS1. POTEF belongs to the POTE gene family, which is primate‐specific and includes 13 paralogs dispersed among eight chromosomes.11 The POTE proteins were considered to be cancer‐testis antigens, because they were expressed in many cancers, but are restricted to only a few normal tissues in the reproductive system. 12, 13 Recently, some studies have suggested a role POTEF in cancer. Mutational data of breast cancer patients was analyzed to predict the probability of patient survival, and POTEF was found among the top driver oncogenic genes, with a mutation prevalence of over 5%.14 In another study, POTEF was identified as a binding partner of Ricinus communis agglutinin I, which may play a critical role in triple‐negative breast cancer metastasis.15 In the present study, we found that POTEFAS1 was higher in CRPC model cells compared with parental cells, promoted cell growth, and repressed several genes related to the Toll‐like receptor (TLR) signaling pathway and associated cytokines, including TLR3, chemokine (C‐X‐C motif) ligand 10 (CXCL10) and tumor necrosis factor (ligand) superfamily, member 10 (TNFSF10). Our findings suggest that androgen‐induced POTEFAS1 would play an important role in the progression of prostate cancer by modulating TLR signaling.

Materials and Methods

Cell lines and reagents

LNCaP and VCaP cells were grown in RPMI and DMEM, respectively, supplemented with 10% FBS. Long‐term androgen deprived (LTAD) cells were grown in phenol red‐free RPMI medium supplemented with 10% charcoaldextran‐stripped FBS. For androgen deprivation, cells were cultured for 3 days in phenol red‐free RPMI medium (Nacalai Tesque, Kyoto, Japan) with 2.5% charcoaldextran‐stripped FBS. All the cells were maintained at 37°C in 10% O2 and 5% CO2. LNCaP cells were obtained from ATCC (Manassas, VA, USA). Short tandem repeat analysis was carried out for the authentication of the cell line. Expression patterns of AR and its variants were checked to verify the prostate cancer cell lines. Cells were checked for mycoplasma contamination using a Mycoplasma Detection Kit (JENA Bioscience, Jena, Germany). 5α‐Dihydrotestosterone (DHT) and bicalutamide were purchased from Sigma (St. Louis, MO, USA).

Clinical samples

We prepared RNA samples obtained by surgeries performed at the University of Tokyo Hospital (Tokyo, Japan). The Tokyo University ethics committee approved this study (No. G10044‐(2)), and informed consent was obtained from each patient before surgery. We collected both prostate cancer tissues and benign prostate tissues from 10 patients by laser capture microdissection as described previously.9, 16

RNA sequencing data

RNA sequencing data has been described10 and is available in the NCBI's Gene Expression Omnibus database (GSE82225; https://www.ncbi.nlm.nih.gov/geo/). We calculated sequence tag distributions in the AS regions of RefSeq genes. Gene expression was determined as the number of reads per kilobase of exon model per million mapped reads. Integrative Genomics Viewer version 2.2, ( http://igv.org/) was used for visualization.

Quantitative RT‐PCR

The RNeasy Kit (Qiagen, Cambridge, Massachusetts) was used for total RNA isolation. First‐strand cDNA was generated using PrimeScript RT reagent kit (TaKaRa, Kyoto, Japan). Expression levels were quantified by quantitative PCR using KAPA SYBR FAST ABI Prism 2X qPCR Master Mix and ABI StepOne system (Life Technologies, Cambridge, Massachusetts). Relative mRNA levels were determined by normalization to GAPDH mRNA level. Primers used are listed in Table S1.

5′/3′ Rapid amplification of cDNA ends

The 5′/3′ RACE was carried out using a 5′/3′ RACE kit (Roche Molecular Biochemicals, Sandhofer Strasse, Germany) according to the manufacturer's instructions. Briefly, cDNA was synthesized using RNA (2 μg) extracted from LTAD cells treated with 10 nM DHT for 72 h. First‐strand cDNA was generated using PrimeScript RT reagent kit (TaKaRa). The PCR amplifications were carried out with specific primers whose locations were determined by predicting the transcription start site and transcription termination sites referring to the RNA‐Seq result (Fig. S1).

siRNA transfection

siRNAs (siPOTEF‐AS1 #1 and #2) were designed using siDirect version 2.0 and purchased from Sigma Genosys (Redwood City, CA). Cells were transfected with siRNAs using Lipofectamine RNAiMax transfection reagent (Thermo Fisher Scientific, Waltham, MA) at a final concentration of 20 nM, according to the manufacturer's protocol. POTEFAS1 siRNA sequences are listed in Table S1.

Cell proliferation assay

Cells were cultured in 96‐well plates (2 × 103 cells) the previous day of siRNA transfection. Cell viability was assessed at different time points using CellTiter 96 AQueous One Solution Cell Proliferation Assay kit (Promega). Plates were incubated at 37°C for 50–90 min and optical density was measured at 490 nm using a microplate spectrophotometer (Benchmark Plus; Bio‐Rad, Richmond, CA, USA).

Microarray analysis

For expression microarrays, a GeneChip Human Exon 1.0 ST Array (Affymetrix, Santa Clara, CA, USA) was used according to the manufacturer's protocol as described.9, 10 Data analysis was undertaken using the Affymetrix Microarray Suite software (Santa Clara, CA). To compare arrays, normalization was performed on data from all probe sets. GO term and Pathway analysis was carried out using DAVID.17 These data are available in the Gene Expression Omnibus database (GSE92355).

Detection of apoptosis

LNCaP cells (5 × 104) were reverse transfected with siPOTEF‐AS1 (#1 or #2) or si‐negative control and suspended on poly‐l‐lysine‐coated slides placed in each well of a 24‐well plate. After 24 h, cells were treated with 1 nM docetaxel and cultured for 24–48 h. The TUNEL assay was carried out using the DeadEnd Fluorometric TUNEL System (Promega). Briefly, slides were fixed with 4% paraformaldehyde, permeabilized with 0.2% Triton‐X, equilibrated with buffer, and stained with the reaction mix. The reaction was stopped with 2× SSC and cells were stained with 1 mg/mL DAPI. Slides were mounted onto glass slides and positively stained cells were counted with a Fluoview (FV10i) microscope (Olympus, Tokyo, Japan).

Statistical analysis

Statistical differences (P‐values) among groups were obtained using a two‐sided Student's t‐test. All experiments were carried out at least twice. Cell proliferation assay was carried out in triplicate. P‐values < 0.05 were considered to be statistically significant. Statistical procedures were undertaken using Excel (Microsoft, Redmond, WA).

Results

POTEF‐AS1 is an androgen‐induced lncRNA highly expressed in CRPC cells

To investigate the relationship between androgen and the expression of novel lncRNA in prostate cancer, AR‐positive prostate cancer cell lines, LNCaP and VCaP, and their corresponding castration‐resistant cell lines, LTAD and VCaP‐LTAD cell lines,9 respectively, were treated with 10 nM DHT, DHT plus anti‐androgen bicalutamide, or DHT plus siRNA targeting AR (siAR). After 24 h, total RNAs were extracted for RNA sequencing analysis as described in the previous study.10 In the present study, the enrichments of sequence tags in the AS region of RefSeq genes were calculated and identified these transcripts as lncRNAs. The lncRNAs that were upregulated more than 1.5‐fold by DHT treatment, and repressed to <0.75‐fold by bicalutamide and siAR treatment, were identified in both LNCaP and VCaP cell lines. Ten transcripts were common in both cell lines which represented lncRNAs transcribed from five different genes (Fig. 1a,b).
Figure 1

Analysis of androgen‐induced long non‐coding RNAs in prostate cancer. (a) Venn diagram showing the number of antisense transcripts of Reference Sequence (RefSeq) genes detected by RNA sequencing analysis in prostate cancer cells. (b) Summary of antisense transcripts regulated by androgen in the present study. (c, d) Quantitative RT‐PCR analysis of long non‐coding RNAs induced by androgen in LNCaP (c) and VCaP (d) cells (n = 3). Cells were treated with 100 nM 5α‐dihydrotestosterone (DHT) or ethanol (Et) for 24 h. RNA expression levels are presented relative to the value of as reference gene. Values represent mean ± SD. *P < 0.05; **P < 0.01.

Analysis of androgen‐induced long non‐coding RNAs in prostate cancer. (a) Venn diagram showing the number of antisense transcripts of Reference Sequence (RefSeq) genes detected by RNA sequencing analysis in prostate cancer cells. (b) Summary of antisense transcripts regulated by androgen in the present study. (c, d) Quantitative RT‐PCR analysis of long non‐coding RNAs induced by androgen in LNCaP (c) and VCaP (d) cells (n = 3). Cells were treated with 100 nM 5α‐dihydrotestosterone (DHT) or ethanol (Et) for 24 h. RNA expression levels are presented relative to the value of as reference gene. Values represent mean ± SD. *P < 0.05; **P < 0.01. Next, we used quantitative RT‐PCR (qRT‐PCR) to analyze the expression of five lncRNAs in both LNCaP and VCaP cell lines and their corresponding castration‐resistant model cell lines, LTAD and VCaP‐LTAD. Out of the five lncRNAs, only POTEFAS1 was significantly upregulated in LTAD cells compared to LNCaP cells in the presence of DHT, but not in the absence of it (Fig. 1c) and highly expressed in VCaP‐LTAD compared to parental VCaP cell line in the presence and absence of DHT (Fig. 1d). In addition, while its expression was repressed after 48 h of androgen treatment in LNCaP cells, it was further induced even after 72 h of androgen stimulation in LTAD cells, showing a different pattern of induction in CRPC model cells compared to hormone‐naïve prostate cancer cells (Fig. S2a). Interestingly, expression of the sense‐strand gene, POTEF, was significantly lower than POTEFAS1, although its induction pattern by androgen in both cell lines was similar to that of POTEFAS1 (Fig. S1b). Thus, among the five androgen‐induced lncRNAs, we focused on POTEFAS1 which might be involved in CRPC. Our previous ChIP‐Seq analysis data18, 19 revealed a strong AR binding site at the promoter region of POTEFAS1 (Fig. 2a), suggesting that its expression is directly regulated by AR. In order to validate that POTEFAS1 is regulated by AR, we treated LNCaP and VCaP cells with bicalutamide and then with 10 nM DHT for 24 h. Cells pretreated with bicalutamide showed lower POTEFAS1 expression compared to those treated with vehicle (DMSO) (Fig. 2b,c). Similarly, LNCaP and VCaP cells transfected with siAR before DHT treatment were shown to express lower levels of POTEFAS1 compared to negative control siRNA (siNC)‐transfected cells (Fig. 2b,c). These experiments showed that POTEFAS1 induction by androgen is directly regulated by AR. Furthermore, analysis of our clinical samples by qRT‐PCR revealed that POTEFAS1 expression is significantly higher in prostate cancer compared to benign prostate hyperplasia (Fig. 2d). This result suggests the importance of POTEFAS1 expression in prostate cancer development by AR.
Figure 2

is regulated by androgen in LNCAP cells. (a) RNA sequencing (RNA‐Seq) and ChIP sequencing (ChIP‐Seq) analyses of in LNCaP and VCaP cells treated with 10 nM 5α‐dihydrotestosterone (DHT) or ethanol (Et) for 24 h. For ChIP‐Seq data18, 19 of androgen receptor (AR), signal ratios compared with input sample are shown as peaks. (b, c) Quantitative RT‐PCR analysis of levels following 1 μM bicalutamide (Bic) or DMSO treatment and 10 nM si or negative control siRNA (siNC) transfection, following Et or 10 nM DHT treatment for 24 h in LNCaP (b) and VCaP (c) cells (n = 3). knockdown was also confirmed by quantitative RT‐PCR analysis. Values represent mean ± SD. *P < 0.05; **P < 0.01. (d) expression in clinical samples. P‐value was calculated by Mann–Whitney U‐test.

is regulated by androgen in LNCAP cells. (a) RNA sequencing (RNA‐Seq) and ChIP sequencing (ChIP‐Seq) analyses of in LNCaP and VCaP cells treated with 10 nM 5α‐dihydrotestosterone (DHT) or ethanol (Et) for 24 h. For ChIP‐Seq data18, 19 of androgen receptor (AR), signal ratios compared with input sample are shown as peaks. (b, c) Quantitative RT‐PCR analysis of levels following 1 μM bicalutamide (Bic) or DMSO treatment and 10 nM si or negative control siRNA (siNC) transfection, following Et or 10 nM DHT treatment for 24 h in LNCaP (b) and VCaP (c) cells (n = 3). knockdown was also confirmed by quantitative RT‐PCR analysis. Values represent mean ± SD. *P < 0.05; **P < 0.01. (d) expression in clinical samples. P‐value was calculated by Mann–Whitney U‐test.

POTEF‐AS1 regulates the expression of apoptosis and TLR signaling pathway‐related genes

To investigate the role of POTEFAS1 in prostate cancer, we designed two siRNAs to deplete its expression. In order to design these siRNAs, we searched in Ensembl genome browser ( http://asia.ensembl.org/) and Gencode version 1920 and Noncode version 4 ( http://www.noncode.org/) annotations of the transcription region of POTEFAS1. All of the databases showed a two‐exon transcript expressed from the opposite strand of POTEF, but we noticed that its second exon was significantly shorter than our results obtained by direct RNA‐Seq (Figs. 2a,S1). Thus, we determined the transcription start site and the transcription termination site by 5′/3′ RACE. By this experiment, we found that POTEFAS1 was transcribed as at least two transcripts of different lengths, one of 1.2 knt (chr2:130865222‐130867939/hg19) and the other of 1.6 knt (chr2:130865222‐130868313/hg19). Compared to the 578‐nt transcript found in the Ensembl genome browser (AC018804.3‐001, ENST00000433507), POTEFAS1 was shown to be longer, in line with the results from RNA‐Seq. According to the results obtained by sequencing analysis, the siRNAs were designed at the second exon of POTEFAS1 (Fig. S1), and their knockdown efficiency was assessed. LNCaP and LTAD cells cultured for 2 days in androgen‐deprived medium were transfected with 20 nM siPOTEF‐AS1 (#1, #2, and #3). After 24 h, cells were treated with 10 nM DHT for another 24 h. The qRT‐PCR analysis showed that knockdown efficiency of these siRNAs was approximately 20–50% or more in both cell lines (Figs. 3a,S3a). We then examined whether POTEFAS1 regulates POTEF expression by cis‐regulatory mechanism, however, knockdown of POTEFAS1 did not significantly affect POTEF mRNA expression in these cell lines (Fig. S2c). Therefore, we next undertook microarray analysis to investigate trans‐regulatory effects of POTEFAS1 in LNCaP cells. We compared the gene expression profiles in LNCaP cells treated with siPOTEF‐AS1 #1 or siNC. We searched for genes that were downregulated to <0.75‐fold with DHT treatment compared to ethanol‐treated cells in siNC‐transfected cells, whose expression was rescued with siPOTEF‐AS1 transfection in DHT‐treated cells. Kyoto Encyclopedia of Genes and Genomes pathway analysis (Table S2) of these top 100 of these genes using the DAVID bioinformatics platform17 indicated an enrichment of genes involved in the TLR signaling pathway (P = 4.4E‐2) such as TLR3, as well as genes involved in cytokine activity (P = 1.3E‐3) such as CXCL10, also known as IP‐10, and TNFSF10 also known as TRAIL. TLR3 and TNFSF10 expression was totally repressed in LTAD cells (Fig. 3b). The expression of these genes increased in LNCaP cells treated with siPOTEF‐AS1 (Figs. 3c,S3b). We also observed de‐repression of these signals by siPOTEF‐AS1 treatment (Fig. S3c). These data suggest the role of POTEFAS1 in repressing TLR‐ and apoptosis‐related genes in prostate cancer.
Figure 3

inhibits Toll‐like receptor (TLR) signaling and apoptosis‐related genes. (a) Knockdown efficiency of by siRNA, analyzed by quantitative RT‐PCR (n = 3) in LNCaP and LTAD cells treated with 10 nM 5α‐dihydrotestosterone (DHT) or ethanol (Et) for 18 h. LNCaP and LTAD cells were transfected with 20 nM and 50 nM siRNA, respectively. The value of vehicle and negative control siRNA (siNC)‐treated cells was set to 1. (b) and mRNA expressions analyzed by quantitative RT‐PCR in LNCaP and LTAD cells treated with Et or 10 nM DHT for 24 h. (c) and mRNA expression in si or siNC‐transfected LNCaP (20 nM siRNA) cells for 24 h. Values represent mean ± SD. *P < 0.05; **P < 0.01.

inhibits Toll‐like receptor (TLR) signaling and apoptosis‐related genes. (a) Knockdown efficiency of by siRNA, analyzed by quantitative RT‐PCR (n = 3) in LNCaP and LTAD cells treated with 10 nM 5α‐dihydrotestosterone (DHT) or ethanol (Et) for 18 h. LNCaP and LTAD cells were transfected with 20 nM and 50 nM siRNA, respectively. The value of vehicle and negative control siRNA (siNC)‐treated cells was set to 1. (b) and mRNA expressions analyzed by quantitative RT‐PCR in LNCaP and LTAD cells treated with Et or 10 nM DHT for 24 h. (c) and mRNA expression in si or siNC‐transfected LNCaP (20 nM siRNA) cells for 24 h. Values represent mean ± SD. *P < 0.05; **P < 0.01.

Knockdown of POTEF‐AS1 inhibited prostate cancer cell growth

It has been suggested that TLR3 signaling, CXCL10, and TNFSF10 trigger apoptosis and growth arrest of prostate cancer cells.21, 22 To examine whether POTEFAS1 depletion influences cell proliferation, we transfected these siRNAs into LNCaP and LTAD cells precultured in androgen‐deprived medium for 2 days. Twenty‐four hours after transfection, cells were treated with 10 nM DHT or ethanol; the following day, cell proliferation changes were measured by MTS cell proliferation assay. We found that POTEFAS1 knockdown reduced cell proliferation in both ethanol‐ and DHT‐treated cells, suggesting that POTEFAS1 enhances prostate cancer cell growth (Fig. 4a,b).
Figure 4

knockdown inhibits cell growth and increases apoptosis. (a, b) Cell proliferation (MTS) assay in LNCaP (a) and LTAD (b) cells transfected with 20 nM si‐AS1 or negative control siRNA (siNC) for indicated time points, following 10 nM 5α‐dihydrotestosterone treatment. (c, d) DAPI (upper panels) and apoptotic cells detected with 488‐nm laser (lower panels) stained si (#1 and #2) transfected LNCaP (c) and LTAD (d) cells treated with 1 nM docetaxel for 24 or 48 h, respectively. Graph represents quantification of apoptotic cells. Data represent the average of three different views (n = 3). Values represent mean ± SD. *P < 0.05; **P < 0.01.

knockdown inhibits cell growth and increases apoptosis. (a, b) Cell proliferation (MTS) assay in LNCaP (a) and LTAD (b) cells transfected with 20 nM si‐AS1 or negative control siRNA (siNC) for indicated time points, following 10 nM 5α‐dihydrotestosterone treatment. (c, d) DAPI (upper panels) and apoptotic cells detected with 488‐nm laser (lower panels) stained si (#1 and #2) transfected LNCaP (c) and LTAD (d) cells treated with 1 nM docetaxel for 24 or 48 h, respectively. Graph represents quantification of apoptotic cells. Data represent the average of three different views (n = 3). Values represent mean ± SD. *P < 0.05; **P < 0.01.

Knockdown of POTEF‐AS1 promoted apoptosis in docetaxel‐treated prostate cancer cells

Next, to examine whether siPOTEF‐AS1 triggers apoptosis, we carried out TUNEL assays in LNCaP and LTAD cells transfected with 20 nM siPOTEF‐AS1 or control siRNA and treated with 1 nM docetaxel for 24 or 48 h. Green fluorescence‐stained cells, representing cells undergoing apoptosis, were observed in siPOTEF‐AS1 transfected cells, whereas apoptotic cells were not significantly observed in control cells (Fig. 4c,d), suggesting that POTEFAS1 inhibits apoptosis. Taken together, these data suggest that POTEFAS1 is involved in growth and survival of CRPC, probably through TLR signaling and apoptosis pathways.

Discussion

Antisense transcripts, which were initially considered as transcriptional noise, are increasingly being recognized as important regulators of gene expression, including cancer.23 Our analysis indicated that POTEFAS1 is an androgen‐dependent transcriptional regulator that affects the gene expression profiles in several pathways linked to TLR signaling and apoptosis, by targeting TLR3 and TNFSF10. Toll‐like receptors are a family of transmembrane receptors that mediate the production of cytokines necessary for the development of effective immunity, such as CXCL10.24 The role of TLR3 in prostate cancer is controversial. TLR3 mRNA has been detected in prostate cancer, and high TLR3 expression level was significantly associated with high probability of recurrence of prostate cancer.25 In LNCaP cells, TLR3 activation by poly(I:C) treatment upregulated several cytokines, including CXCL10, which may result in suppression of tumor growth. A recent study in human prostate cancer cells suggests that TLR3 signaling triggers apoptosis and growth arrest of LNCaP cells partially through the inactivation of the phosphatidylinositol 3‐kinase/protein kinase B pathway.21 TNFSF10 is a cytokine that belongs to a small subset of pro‐apoptotic protein ligands in the TNF superfamily and causes apoptosis primarily in tumor cells by binding to certain death receptors.26, 27 Therefore, our results suggest that POTEFAS1 would inhibit apoptosis by targeting TLR and apoptosis pathway‐related gene expressions. Further study to examine whether knockdown of these genes can rescue the apoptosis in POTEFAS1 knockdown cells is intriguing to validate the importance of this pathway. More importantly, de‐repression of TLR3 and TNFSF10 by siPOTEF‐AS1 in LTAD cells was not so evident as in LNCaP cells in our qRT‐PCR analysis (Fig. S3c), suggesting the possibility that target pathways by POTEFAS1 are different in CRPC cells. We consider that microarray analysis in LTAD cells is necessary to identify such specific signals in CRPC. In a previous study, we reported that another androgen‐regulated lncRNA, SOCS2AS1, also represses TNFSF10 and expression of other apoptosis‐related genes.10 Our experimental results indicated that SOCS2AS1 modulates AR epigenetic activity by interacting with AR. In the microarray analysis, we observed that androgen repression of TLR3 and TNFSF10 was rescued with siPOTEF‐AS1 transfection, which was confirmed by qRT‐PCR analysis. Although further analyses are required to elucidate its precise mechanism to regulate gene expression by POTEFAS1, it is tempting to speculate that POTEFAS1 may modulate AR activity in combination with SOCS2AS1 because both TNFSF10 and TLR3 are androgen‐regulated genes. It is important to find the interacting partners of lncRNA to analyze the molecular mechanism for gene regulation because previous studies, including ours, have revealed the functions of lncRNAs by showing the interacting proteins or RNAs.1, 9 We have used LTAD cells to investigate the biological characteristics of CRPC. In our RNA‐Seq study, POTEFAS1 was found to be regulated by AR in both LNCaP and VCaP systems. Although LNCaP cells was mainly used in this study, further analysis in VCaP cells is necessary to investigate the role of POTEFAS1 in CRPC because POTEFAS1 is upregulated in VCaP‐LTAD cells compared with parental VCaP cells, as shown in Figure 1(c). In the LNCaP system, POTEFAS1 is upregulated in LTAD cells in the presence of DHT, not in its absence. However, androgen responsiveness to DHT is enhanced in LTAD cells, as shown in Figure S2. Upregulation of gene expression in CRPC is also related with AR hypersensitivity,2, 6 reflecting the important role of AR in CRPC. In addition, in the absence of androgen by hormone therapy, low doses of androgen production in intratumor tissues have been described.28 Thus, we speculate that the hypersensitivity of AR to induce POTEFAS1 by DHT is also important for CRPC. In the present study, we investigated AS lncRNAs putatively induced by AR binding in two AR‐positive prostate cancer cells using directional RNA‐Seq methods. POTEFAS1 knockdown upregulated genes related to TLR signaling and apoptosis pathways, such as TLR3 and TNFSF10, and inhibited cell growth and apoptosis in docetaxel‐treated cells. POTEFAS1 could play a key role in the development of CRPC by repressing apoptosis and the TLR signaling pathway and therefore it would provide a promising novel strategy for cancer treatment.

Disclosure Statement

The authors have no conflict of interest. Fig. S1. Determination of 5′‐ and 3′‐ends of POTEFAS1 by the 5′/3′ RACE method. RNA extracted from LTAD cells treated with 10 nM 5α‐dihydrotestosterone (DHT) for 72 h was used as a template to synthesize cDNA. Short arrows indicate location of primers for RACE PCR amplification. Long arrows indicate exon length of the transcribed products determined by sequencing. Short lines indicate location of siPOTEF‐AS1 (#1, #2). Click here for additional data file. Fig. S2. POTEFAS1 is induced by androgen in LNCAP cells and is highly expressed in castration‐resistant prostate cancer model LTAD cells. (a, b) Time course analysis of POTEFAS1 (a) and POTEF mRNA (b) expression levels after androgen (10 nM 5α‐dihydrotestosterone, DHT) treatment in LNCaP and LTAD cell lines determined by quantitative RT‐PCR (qRT‐PCR). (c) POTEF mRNA expression levels after 20 nM siPOTEF‐AS1 transfection and DHT treatment for 18 h in LNCaP and LTAD cell lines determined by qRT‐PCR. RNA expression levels are presented relative to the value of GAPDH as reference gene. Values represent mean ± SD. *P < 0.05; **P < 0.01. Click here for additional data file. Fig. S3. Regulation of and tumor necrosis factor (ligand) superfamily, member 10 (TNFSF10) and Toll‐like receptor 3 (TLR3) by POTEFAS1 in LNCaP and LTAD cells. (a) Knockdown efficiency of POTEFAS1 by three siRNAs, analyzed by quantitative RT‐PCR (n = 3) in LNCaP and LTAD cells treated with 10 nM 5α‐dihydrotestosterone (DHT) or ethanol (Et) for 24 h. Both cell lines were transfected with 20 nM siRNA. (b) TLR3 and TNFSF10 mRNA expression in siPOTEF‐AS1 or negative control siRNA (siNC)‐transfected LNCaP (20 nM siRNA) cells for 24 h. (b) TLR3 and TNFSF10 mRNA expressions in siPOTEF‐AS1‐ or siNC‐transfected LTAD (20 nM siRNA) cells for 24 h. Values represent mean ± SD. *P < 0.05; **P < 0.01. Click here for additional data file. Table S1. Sequences of PCR primers and siRNAs. Table S2. Kyoto Encyclopedia of Genes and Genomes pathway analysis of genes repressed with androgen treatment and induced by siPOTEF‐AS1 transfection. Click here for additional data file.
  29 in total

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Authors:  Ken-Ichi Takayama; Kuniko Horie-Inoue; Shintaro Katayama; Takashi Suzuki; Shuichi Tsutsumi; Kazuhiro Ikeda; Tomohiko Urano; Tetsuya Fujimura; Kiyoshi Takagi; Satoru Takahashi; Yukio Homma; Yasuyoshi Ouchi; Hiroyuki Aburatani; Yoshihide Hayashizaki; Satoshi Inoue
Journal:  EMBO J       Date:  2013-05-03       Impact factor: 11.598

5.  CtBP2 modulates the androgen receptor to promote prostate cancer progression.

Authors:  Ken-Ichi Takayama; Takashi Suzuki; Tetsuya Fujimura; Tomohiko Urano; Satoru Takahashi; Yukio Homma; Satoshi Inoue
Journal:  Cancer Res       Date:  2014-09-16       Impact factor: 12.701

6.  GENCODE: the reference human genome annotation for The ENCODE Project.

Authors:  Jennifer Harrow; Adam Frankish; Jose M Gonzalez; Electra Tapanari; Mark Diekhans; Felix Kokocinski; Bronwen L Aken; Daniel Barrell; Amonida Zadissa; Stephen Searle; If Barnes; Alexandra Bignell; Veronika Boychenko; Toby Hunt; Mike Kay; Gaurab Mukherjee; Jeena Rajan; Gloria Despacio-Reyes; Gary Saunders; Charles Steward; Rachel Harte; Michael Lin; Cédric Howald; Andrea Tanzer; Thomas Derrien; Jacqueline Chrast; Nathalie Walters; Suganthi Balasubramanian; Baikang Pei; Michael Tress; Jose Manuel Rodriguez; Iakes Ezkurdia; Jeltje van Baren; Michael Brent; David Haussler; Manolis Kellis; Alfonso Valencia; Alexandre Reymond; Mark Gerstein; Roderic Guigó; Tim J Hubbard
Journal:  Genome Res       Date:  2012-09       Impact factor: 9.043

7.  TRAIL and vitamins: opting for keys to castle of cancer proteome instead of open sesame.

Authors:  Ammad Ahmad Farooqi; Shahzad Bhatti; Muhammad Ismail
Journal:  Cancer Cell Int       Date:  2012-06-06       Impact factor: 5.722

8.  A genome-wide approach to link genotype to clinical outcome by utilizing next generation sequencing and gene chip data of 6,697 breast cancer patients.

Authors:  Lőrinc Pongor; Máté Kormos; Christos Hatzis; Lajos Pusztai; András Szabó; Balázs Győrffy
Journal:  Genome Med       Date:  2015-10-16       Impact factor: 11.117

Review 9.  Molecular mechanisms underlying resistance to androgen deprivation therapy in prostate cancer.

Authors:  Kristine M Wadosky; Shahriar Koochekpour
Journal:  Oncotarget       Date:  2016-09-27

10.  Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists.

Authors:  Da Wei Huang; Brad T Sherman; Richard A Lempicki
Journal:  Nucleic Acids Res       Date:  2008-11-25       Impact factor: 16.971

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  15 in total

1.  Gastric Cancer Pre-Stage Detection and Early Diagnosis of Gastritis Using Serum Protein Signatures.

Authors:  Shahid Aziz; Faisal Rasheed; Rabaab Zahra; Simone König
Journal:  Molecules       Date:  2022-04-30       Impact factor: 4.927

2.  Androgen-induced lncRNA POTEF-AS1 regulates apoptosis-related pathway to facilitate cell survival in prostate cancer cells.

Authors:  Aya Misawa; Ken-Ichi Takayama; Tetsuya Fujimura; Yukio Homma; Yutaka Suzuki; Satoshi Inoue
Journal:  Cancer Sci       Date:  2017-03       Impact factor: 6.716

Review 3.  Carcinogenesis in prostate cancer: The role of long non-coding RNAs.

Authors:  John Aird; Anne-Marie Baird; Marvin C J Lim; Ray McDermott; Stephen P Finn; Steven G Gray
Journal:  Noncoding RNA Res       Date:  2018-02-01

Review 4.  Long non-coding RNAs and prostate cancer.

Authors:  Aya Misawa; Ken-Ichi Takayama; Satoshi Inoue
Journal:  Cancer Sci       Date:  2017-09-05       Impact factor: 6.716

5.  Identification of COVID-19 Infection-Related Human Genes Based on a Random Walk Model in a Virus-Human Protein Interaction Network.

Authors:  YuHang Zhang; Tao Zeng; Lei Chen; ShiJian Ding; Tao Huang; Yu-Dong Cai
Journal:  Biomed Res Int       Date:  2020-07-08       Impact factor: 3.411

6.  Knockdown of long non-coding RNA LCPAT1 inhibits autophagy in lung cancer.

Authors:  Xiao Yu; Xiaofei Ye; Hongyan Lin; Nannan Feng; Sumeng Gao; Xiaohong Zhang; Yu Wang; Herbert Yu; Xiaobei Deng; Biyun Qian
Journal:  Cancer Biol Med       Date:  2018-08       Impact factor: 4.248

7.  Integrative analysis of the lncRNA-associated ceRNA network reveals lncRNAs as potential prognostic biomarkers in human muscle-invasive bladder cancer.

Authors:  Lei Lyu; Wei Xiang; Jin-Yan Zhu; Tao Huang; Jing-Dong Yuan; Chuan-Hua Zhang
Journal:  Cancer Manag Res       Date:  2019-07-04       Impact factor: 3.989

Review 8.  Pathological bases and clinical impact of long noncoding RNAs in prostate cancer: a new budding star.

Authors:  Tao Xu; Chang-Ming Lin; Shu-Qi Cheng; Jie Min; Li Li; Xiao-Ming Meng; Cheng Huang; Lei Zhang; Zi-Yu Deng; Jun Li
Journal:  Mol Cancer       Date:  2018-07-23       Impact factor: 27.401

Review 9.  Long Non-Coding RNAs as New Master Regulators of Resistance to Systemic Treatments in Breast Cancer.

Authors:  Alma D Campos-Parra; Eduardo López-Urrutia; Luz Tonantzin Orozco Moreno; César López-Camarillo; Thuluz Meza-Menchaca; Gabriela Figueroa González; Lilia P Bustamante Montes; Carlos Pérez-Plasencia
Journal:  Int J Mol Sci       Date:  2018-09-11       Impact factor: 5.923

10.  The long noncoding RNA landscape of neuroendocrine prostate cancer and its clinical implications.

Authors:  Varune Rohan Ramnarine; Mohammed Alshalalfa; Fan Mo; Noushin Nabavi; Nicholas Erho; Mandeep Takhar; Robert Shukin; Sonal Brahmbhatt; Alexander Gawronski; Maxim Kobelev; Mannan Nouri; Dong Lin; Harrison Tsai; Tamara L Lotan; R Jefferey Karnes; Mark A Rubin; Amina Zoubeidi; Martin E Gleave; Cenk Sahinalp; Alexander W Wyatt; Stanislav V Volik; Himisha Beltran; Elai Davicioni; Yuzhuo Wang; Colin C Collins
Journal:  Gigascience       Date:  2018-06-01       Impact factor: 6.524

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