Literature DB >> 29608247

Regulation of NCAPG by miR-99a-3p (passenger strand) inhibits cancer cell aggressiveness and is involved in CRPC.

Takayuki Arai1,2, Atsushi Okato1,2, Yasutaka Yamada1,2, Sho Sugawara1,2, Akira Kurozumi1,2, Satoko Kojima3, Kazuto Yamazaki4, Yukio Naya3, Tomohiko Ichikawa2, Naohiko Seki1.   

Abstract

Effective treatments for patients with castration-resistant prostate cancer (CRPC) have not yet been established. Novel approaches for identification of putative therapeutic targets for CRPC are needed. Analyses of RNA sequencing of microRNA (miRNA) expression revealed that miR-99a-3p (passenger strand) is significantly downregulated in several types of cancers. Here, we aimed to identify novel miR-99a-3p regulatory networks and therapeutic targets for CRPC. Ectopic expression of miR-99a-3p significantly inhibited cancer cell proliferation, migration, and invasion in PCa cells. Non-SMC condensin I complex subunit G (NCAPG) was a direct target of miR-99a-3p in PCa cells. Overexpression of NCAPG was detected in CRPC clinical specimens and was significantly associated with shorter disease-free survival and advanced clinical stage. Knockdown of NCAPG inhibited cancer cell aggressiveness. The passenger strand miR-99a-3p acted as an antitumor miRNA in naïve PCa and CRPC. NCAPG was regulated by miR-99a-3p, and its overexpression was involved in CRPC pathogenesis. Involvement of passenger strand of miRNA in cancer pathogenesis is novel concept, and identification of antitumor miRNA regulatory networks in CRPC might be provided novel prognostic markers and therapeutic targets for this disease.
© 2018 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

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Keywords:  zzm321990miR-99a-3pzzm321990; zzm321990miR-99a-5pzzm321990; Castration-resistant prostate cancer; microRNA; non-SMC condensin I complex subunit G

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Year:  2018        PMID: 29608247      PMCID: PMC5943442          DOI: 10.1002/cam4.1455

Source DB:  PubMed          Journal:  Cancer Med        ISSN: 2045-7634            Impact factor:   4.452


Introduction

In developed countries, prostate cancer (PCa) is one of the most commonly diagnosed cancers, identified by prostate‐specific antigen (PSA) screening; PCa is also the third leading cause of cancer‐related death among men 1. Most naïve PCa initially responds well to androgen‐deprivation therapy (ADT). However, during ADT treatment, PCa cells acquire ADT treatment resistance and progress to a lethal pathology known as castration‐resistant prostate cancer (CRPC) 2. Cancer cells that have reached CRPC can cause distant metastasis, and effective treatments for patients with CRPC have not yet been established 3. Identification of the molecular pathogenesis underlying acquisition of androgen‐independent and metastatic signaling pathways based on advanced genomic approaches is essential for further understanding of this disease. MicroRNAs (miRNAs) are endogenous small RNAs (molecules 18–23 bases in length) that act as central players regulating the expression control of protein‐coding and protein‐noncoding RNAs 4, 5. Interestingly, a single miRNA can directly regulate a vast number of RNAs in human cells 6. Therefore, aberrant expression of miRNAs can disrupt normal control of RNA expression in cancer cells. Furthermore, dysregulation of miRNAs is contributed to cancer cell malignancies, such as progression, metastasis, and treatment resistance 7, 8, 9, 10. Analysis of our original miRNA expression signatures of cancers based on RNA sequencing revealed that several passenger strands of miRNAs, for example, miR‐145‐3p, miR‐150‐3p, miR‐149‐3p, miR‐199a‐3p, and miR‐144‐5p, are downregulated in several cancer tissues and act as antitumor miRNAs in cancer cells 11, 12, 13, 14, 15. However, this is inconsistent with the paradigm that the guide strand of miRNA is loaded into the miRNA‐induced silencing complex (RISC) and represses translation or degradation of target genes 16, whereas the passenger strand of miRNA is thought to be destroyed in the cytoplasm and to have no function 17, 18, 19. We have sequentially identified the functional significance of passenger strands of miRNAs in cancer cells based on miRNA signatures 11, 12, 13, 14, 15. In this study, we focused on miR‐99a‐5p (guide strand) whose expression was significantly downregulated in our miRNA signature of metastatic CRPC 15 and investigated the functional roles including passenger strand miR‐99a‐3p in naïve PCa and CRPC cells. Previous studies have shown that the guide strand miR‐99a‐5p has antitumor roles in several cancers 20, 21, 22, 23. In contrast, no studies have reported the role of the passenger strand miR‐99a‐3p in cancer cells. Novel strategies based on passenger strands of miRNAs will enhance our understanding of the molecular pathways underlying naïve PCa and CRPC pathogenesis.

Materials and Methods

Collection of clinical prostate specimens and cell lines

Clinical specimens were collected at Teikyo University Chiba Medical Center and Chiba University Hospital from 2013 to 2016. Patient characteristics and clinical features are summarized in Table 1. The protocol of this study was approved by the Institutional Review Boards of Teikyo University and Chiba University. We have experimented with human PCa cell lines (PC3, DU145, and C4‐2). The cells were maintained as previously reported 11, 15, 24, 25.
Table 1

Patient characteristics

Patient No.ProcedureDiagnosisAge (years)PSA (ng/mL)Gleason score T N M StageRemarks
1BiopsyNon‐PCa575.71RT‐PCR
2BiopsyNon‐PCa749.45RT‐PCR
3BiopsyNon‐PCa708.58RT‐PCR
4BiopsyNon‐PCa734.8RT‐PCR
5BiopsyNon‐PCa676.91RT‐PCR
6BiopsyNon‐PCa507.05RT‐PCR
7BiopsyNon‐PCa749.91RT‐PCR
8BiopsyNon‐PCa7620.9RT‐PCR
9BiopsyNon‐PCa594.5RT‐PCR
10BiopsyNon‐PCa751.1RT‐PCR
11BiopsyNon‐PCa607.29RT‐PCR
12BiopsyNon‐PCa7338.7RT‐PCR
13BiopsyNon‐PCa6911.9RT‐PCR
14BiopsyNon‐PCa7723.3RT‐PCR
15BiopsyNon‐PCa614.57RT‐PCR
16BiopsyNon‐PCa597.37RT‐PCR
17BiopsyNon‐PCa655.06RT‐PCR
18BiopsyHSPC7075.74 + 5411IVRT‐PCR
19BiopsyHSPC7818004 + 5411IVRT‐PCR
20BiopsyHSPC7568.45 + 4410IVRT‐PCR
21BiopsyHSPC6238.74 + 52b10IVRT‐PCR
22BiopsyHSPC7025.54 + 53b00IIIRT‐PCR
23BiopsyHSPC888884 + 53b11IVRT‐PCR
24BiopsyHSPC6933.94 + 5401IVRT‐PCR
25BiopsyHSPC6262.34 + 53b10IVRT‐PCR
26BiopsyHSPC7854 + 52c01bIVRT‐PCR
27BiopsyHSPC644494 + 53b11IVRT‐PCR
28BiopsyHSPC813654 + 5411IVRT‐PCR
29BiopsyHSPC767155 + 4411IVRT‐PCR
30BiopsyHSPC795554 + 5311IVRT‐PCR
31BiopsyHSPC6311204 + 52c01bIVRT‐PCR
32BiopsyHSPC674.954 + 5411bIVRT‐PCR
33BiopsyHSPC7019.55 + 5411cIVRT‐PCR
34BiopsyCRPC6915.85 + 43b11IVRT‐PCR
35BiopsyCRPC722125 + 4411IVRT‐PCR
36BiopsyCRPC714.44 + 5411IVRT‐PCR
37BiopsyCRPC687.544 + 5411bIVRT‐PCR
38ProstatectomyHSPC655.34 + 52a00IIIHC
39ProstatectomyHSPC6121.484 + 43a00IIIIHC
40AutopsyCRPC6441004 + 5411cIVIHC
41AutopsyCRPC7546904 + 5411cIVIHC
Patient characteristics

Quantitative real‐time reverse transcription polymerase chain reaction (qRT‐PCR)

The procedure of PCR quantification is described in our previous reports 11, 15, 24, 25, 26. Expression levels of miR‐99a‐5p and miR‐99a‐3p normalized to expression of RNU48 were analyzed by TaqMan qRT‐PCR. The expression levels of NCAPG and pri‐miR‐99a were assessed by being normalized with GAPDH or GUSB. Detailed product numbers of reagents used are shown in the Table S1.

Transfection with mature miRNA, small‐interfering RNA (siRNA), or plasmid vectors

We used the mature miRNAs, siRNAs, and plasmid vectors described below: Pre‐miR miRNA precursor (hsa‐miR‐99a‐5p; assay ID: PM10719 and hsa‐miR‐99a‐3p; assay ID: PM12983; Applied Biosystems, Foster City, CA), Stealth Select RNAi siRNAs; si‐NCAPG (cat. nos. HSS127430 and HSS184671; Invitrogen, Carlsbad, CA), and negative control miRNA/siRNA (P/N: AM17111; Applied Biosystems). RNAs were incubated with OPTI‐MEM (Invitrogen) and Lipofectamine RNAiMax reagent (Invitrogen) at a concentration of 10 nmol/L by reverse transfection. We used NCAPG plasmid vector designed by ORIGENE (cat. no. SC111395; Rockville, MD). Transfection procedures were described as previous studies 11, 15, 24, 25, 26.

Cell proliferation, migration, and invasion assays

As functional analyses, cell proliferation, migration, and invasion assays were carried out based on our past reports 11, 15, 24, 25, 26. We confirmed all experiments in triplicate.

Confirmation of miRNAs incorporated into the RNA‐induced silencing complex (RISC) by Ago2 immunoprecipitation

To investigate whether exogenous miR‐99a‐5p and miR‐99a‐3p were incorporated into the RISC, we carried out immunoprecipitation assays using a microRNA isolation kit for human Ago2 (Wako, Osaka, Japan). The procedure is described in our past reports 11, 15.

Identification strategy of estimated target genes regulated by miR‐99a‐3p in PCa cells

To identify putative miR‐99a‐3p target genes, we used in silico database analyses and comprehensive gene expression analyses by microarray technologies, as described previously 11, 15, 24, 25, 26. The microarray data were deposited into the GEO database (https://www.ncbi.nlm.nih.gov/geo/; accession number: GSE85614).

Western blotting

Immunoblotting was carried out with rabbit anti‐NCAPG antibodies (1:750; ab56382; Abcam, Cambridge, UK). We used antiglyceraldehyde 3‐phosphate dehydrogenase (GAPDH) antibodies (1:10000, ab8245; Abcam) for an internal loading control. The experimental procedures were performed as described in our past reports 11, 24, 25, 26.

Plasmid construction and dual‐luciferase reporter assays

A partial wild‐type sequence of the NCAPG 3′‐untranslated region (UTR) or a sequence having a deletion of the miR‐99a‐3p target site was inserted into the psiCHECK‐2 vector (C8021; Promega, Madison, WI). The procedures were reported previously 11, 24, 25, 26.

Immunohistochemistry

Tissue specimens were incubated overnight at 4°C with anti‐NCAPG antibodies (1:150; ab56382; Abcam). The procedures were described previously 11, 15, 24, 25, 26.

The Cancer Genome Atlas (TCGA) database analyses of PCa

To identify the clinical significance of NCAPG, we applied to TCGA database. The gene expression and clinical data were analyzed using cBioportal (http://www.cbioportal.org/) 27. The data were obtained on 30 May 2017.

Statistical analysis

The relationship between the two groups was analyzed using the Mann–Whitney U test. The relationship of three variables or more was analyzed using Bonferroni‐adjusted Mann–Whitney U tests. The correlation between two groups was evaluated by Spearman's rank test. Survival analyses by Kaplan–Meier method and log‐rank test was performed using JMP software (version 13; SAS Institute Inc., Cary, NC). For all other analyses, Expert StatView (version 5, SAS Institute Inc.) was used.

Results

Expression levels of miR‐99a‐5p and miR‐99a‐3p in PCa specimens and cell lines

In human genome, miR‐99a is located on chromosome 21q21.1 and the mature sequences of miR‐99a‐5p and miR‐99a‐3p are 5′‐AACCCGUAGAUCCGAUCUUGUG‐3′and 5′‐CAAGCUCGCUUCUAUGGGUCUG‐3′, respectively (Fig. S1). We validated the expression levels of miR‐99a‐5p and miR‐99a‐3p in PCa tissues (hormone‐sensitive prostate cancer [HSPC]: n = 16, CRPC: n = 4), normal tissues (n = 17), and PCa cell lines (PC3, DU145, and C4‐2). Table 1 shows the patients’ characteristics. The expression levels of miR‐99a‐5p and miR‐99a‐3p were markedly lower in PCa and CRPC tissues than in normal tissues (miR‐99a‐5p: P = 0.0001 and P < 0.0001, miR‐99a‐3p: P = 0.0047 and P = 0.0001; Fig. 1A and B). miR‐99a‐5p and miR‐99a‐3p were expressed with positive correlation. (r = 0.771, P < 0.0001; Fig. 1C). Furthermore, the expression level of pri‐miR‐99a, a precursor of miR‐99a‐5p/‐3p, was also examined and the expression was downregulated in the PCa tissues (Fig. S2).
Figure 1

Expression of miR‐99a‐5p/3p in clinical prostate specimens and functional analysis of miR‐99a‐5p/3p in PCa cell lines. (A) Expression levels of miR‐99a‐5p in PCa clinical specimens and cell lines determined using qRT‐PCR. was used as an internal control. (B) Expression levels of miR‐99a‐3p in PCa clinical specimens and cell lines. (C) Correlations among the relative expression levels of miR‐99a‐5p and miR‐99a‐3p. (D‐F) Cell proliferation, migration, and invasion assays in cells transfected with miR‐99a‐5p/3p. *P < 0.0001 and **P < 0.001.

Expression of miR‐99a‐5p/3p in clinical prostate specimens and functional analysis of miR‐99a‐5p/3p in PCa cell lines. (A) Expression levels of miR‐99a‐5p in PCa clinical specimens and cell lines determined using qRT‐PCR. was used as an internal control. (B) Expression levels of miR‐99a‐3p in PCa clinical specimens and cell lines. (C) Correlations among the relative expression levels of miR‐99a‐5p and miR‐99a‐3p. (D‐F) Cell proliferation, migration, and invasion assays in cells transfected with miR‐99a‐5p/3p. *P < 0.0001 and **P < 0.001.

Both miR‐99a‐5p and miR‐99a‐3p bound to Ago2

To verify that both miR‐99a‐5p and miR‐99a‐3p functioned by incorporation into the RISC, we performed immunoprecipitation with antibodies targeting Ago2 which plays a key role of RISC (Fig. S3A). Quantification of miRNAs bound to Ago2 was detected by PCR methods. The amount of miR‐99a‐5p bound to Ago2 was remarkably higher than that in cells transfected with mock, miR‐control, and miR‐99a‐3p (P < 0.0001; Fig. S3B). Similarly, the amount of miR‐99a‐3p bound to Ago2 was markedly higher than that in cells transfected with mock, miR‐control, and miR‐99a‐5p (P < 0.0001; Fig. S3B).

Effects of restoring miR‐99a‐5p/3p on cell proliferation, migration, and invasion activities in PCa cell lines

To confirm the tumor‐suppressive roles of miR‐99a‐5p and miR‐99a‐3p, we carried out ectopic expression assays by miRNA transfection into PC3, DU145, and C4‐2 cells. According to the results of functional assays, cancer cell proliferation, migration activity, and invasion activity were all remarkably inhibited by transfection with miR‐99a‐3p compared with those of mock‐ or miR‐control‐transfected PC3, DU145 C4‐2 cells (P < 0.0001, P < 0.0001, and P < 0.0001, respectively; Fig. 1D–F, S4A and B). Cell proliferation assay was also performed in LNCaP cells, and its ability was suppressed by transfection with miR‐99a‐3p (data not shown). In contrast, miR‐99a‐5p showed no significant antitumor effects (Fig. 1D‐F).

Search for putative oncogenes regulated by miR‐99a‐3p in PCa cells

We focused on miR‐99a‐3p, which showed marked antitumor effects. The selection strategy of miR‐99a‐3p target genes is shown in Figure 2A. Initially, we used the TargetScan Human 7.1 database and found that 1591 genes had theoretical target sites for miR‐99a‐3p in their 3′‐UTRs. Next, we extracted genes whose expression levels were decreased by transfection with miR‐99a‐3p by gene expression analysis (GEO accession number: GSE85614). Genes that were markedly decreased by transfection into PC3 cells with miR‐99a‐3p are shown in Table 2 (fold‐change log2 < −2.0). In this study, a total of 30 putative oncogenic targets of miR‐99a‐3p regulation were identified in PC cells. We investigated further whether it has related to the pathogenesis of PCa and these targets using TCGA database. Among these targets, 17 genes (NCAPG, SGOL1, RRM2, ESCO2, ZNF695, CDK1, NEK2, FANCI, FAM64A, ZWINT, PIGL, KIF11, MCM4, BRCA1, CDKN3, GRIA2, and MKI67) were involved in PCa pathogenesis, high expression of these genes were significantly associated with disease‐free survival rate (Figs 2B, 3).
Figure 2

Identification of miR‐99a‐3p target genes and relationship between and clinicopathological factors. (A) Flowchart of the strategy for identification of miR‐99a‐3p target genes. (B) Kaplan–Meier patient survival curves for disease‐free survival rates based on expression in patients with PCa from TCGA database. (C) According to TCGA database, the expression levels of were significantly increased in cases of advanced T stage, advanced N stage, and high Gleason score. *P < 0.01, **P < 0.001, and ***P < 0.0001.

Table 2

Putative target genes regulated by miR‐99a‐3p in PCa cells

Entrez Gene IDGene symbolGene nameLocationNumber of miR‐99a‐3p target sitesPC3 miR‐99a‐3p transfectant (Log2 ratio)
64151 NCAPG Non‐SMC condensin I complex, subunit G4p15.311−3.87
151648 SGOL1 Shugoshin‐like 1 (S. pombe)3p24.31−3.49
6241 RRM2 Ribonucleotide reductase M22p25.11−3.39
157570 ESCO2 Establishment of sister chromatid cohesion N‐acetyltransferase 28p21.11−3.26
57116 ZNF695 Zinc finger protein 6951q441−3.21
113115 MTFR2 Mitochondrial fission regulator 26q23.31−3.19
983 CDK1 Cyclin‐dependent kinase 110q21.21−3.03
4751 NEK2 NIMA‐related kinase 21q32.31−2.82
8693 GALNT4 UDP‐N‐acetyl‐alpha‐D‐galactosamine:polypeptide N‐acetylgalactosaminyltransferase 4 (GalNAc‐T4)12q21.332−2.72
143686 SESN3 Sestrin 311q211−2.61
55215 FANCI Fanconi anemia, complementation group I15q26.11−2.57
5557 PRIM1 Primase, DNA, polypeptide 1 (49 kDa)12q13.31−2.56
54478 FAM64A Family with sequence similarity 64, member A17p13.21−2.56
2218 FKTN Fukutin9q31.22−2.53
51522 TMEM14C Transmembrane protein 14C6p24.21−2.50
11130 ZWINT ZW10 interacting kinetochore protein10q21.11−2.47
9487 PIGL Phosphatidylinositol glycan anchor biosynthesis, class L17p11.21−2.47
3832 KIF11 Kinesin family member 1110q23.331−2.43
4173 MCM4 Minichromosome maintenance complex component 48q11.211−2.42
672 BRCA1 Breast cancer 1, early onset17q21.311−2.40
586 BCAT1 Branched chain amino‐acid transaminase 1, cytosolic12p12.13−2.38
1033 CDKN3 Cyclin‐dependent kinase inhibitor 314q22.21−2.37
79917 MAGIX MAGI family member, X‐linkedXp11.231−2.36
57082 CASC5 Cancer susceptibility candidate 515q15.11−2.35
2891 GRIA2 Glutamate receptor, ionotropic, AMPA 24q32.11−2.30
4288 MKI67 Antigen identified by monoclonal antibody Ki‐6710q26.21−2.25
283487 LINC00346 Long intergenic non‐protein coding RNA 34613q341−2.23
56952 PRTFDC1 Phosphoribosyl transferase domain containing 110p12.11−2.12
5140 PDE3B Phosphodiesterase 3B, cGMP‐inhibited11p15.21−2.04
2177 FANCD2 Fanconi anemia, complementation group D23p25.31−2.01
Figure 3

Kaplan–Meier survival curves based on expression of 16 genes, excluding , in patients with PCa. Kaplan–Meier patient survival curves for disease‐free survival rates based on expression of 16 genes, excluding , in patients with PCa, according to TCGA database.

Identification of miR‐99a‐3p target genes and relationship between and clinicopathological factors. (A) Flowchart of the strategy for identification of miR‐99a‐3p target genes. (B) Kaplan–Meier patient survival curves for disease‐free survival rates based on expression in patients with PCa from TCGA database. (C) According to TCGA database, the expression levels of were significantly increased in cases of advanced T stage, advanced N stage, and high Gleason score. *P < 0.01, **P < 0.001, and ***P < 0.0001. Putative target genes regulated by miR‐99a‐3p in PCa cells Kaplan–Meier survival curves based on expression of 16 genes, excluding , in patients with PCa. Kaplan–Meier patient survival curves for disease‐free survival rates based on expression of 16 genes, excluding , in patients with PCa, according to TCGA database. Finally, we focused on NCAPG, which showed the greatest reduction in expression following transfection with miR‐99a‐3p.

Clinical significance of NCAPG in PCa

According to TCGA database, NCAPG expression levels were closely related to prognosis and clinical stage in patients with PCa. High NCAPG expression group had remarkably shorter disease‐free survival (DFS) than that of the low expression group in patients with PCa (P = 0.0009, Fig. 2B). Moreover, the expression levels of NCAPG were markedly increased in cases with advanced T stage, advanced N stage, and high Gleason Score (Fig. 2C). These results indicated that NCAPG may affect disease progression and malignancy in PCa.

NCAPG was directly regulated by miR‐99a‐3p in PCa cells

The expression of NCAPG mRNA was significantly decreased by miR‐99a‐3p transfection compared to that of mock‐ or miR‐control‐transfected cells (Fig. 4A). Consistent with this, NCAPG protein expression was reduced by miR‐99a‐3p transfection (Fig. 4B).
Figure 4

Direct regulation of by miR‐99a‐3p in PCa cells. (A) mRNA expression was evaluated using qRT‐PCR in PC3, DU145, and C4‐2 cells 48 h after transfection with miR‐99a‐3p. was used as an internal control. *P < 0.0001. (B) NCAPG protein expression was evaluated by Western blotting in PC3, DU145, and C4‐2 cells 72 h after transfection with miR‐99a‐3p. (C) miR‐99a‐3p binding sites in the 3′‐UTR of mRNA. Dual‐luciferase reporter assays in PC3 using vectors encoding a putative miR‐99a‐3p target site in the 3′‐UTR (positions 462–468). Data were normalized by expression ratios of Renilla/firefly luciferase activities. *P < 0.0001.

Direct regulation of by miR‐99a‐3p in PCa cells. (A) mRNA expression was evaluated using qRT‐PCR in PC3, DU145, and C4‐2 cells 48 h after transfection with miR‐99a‐3p. was used as an internal control. *P < 0.0001. (B) NCAPG protein expression was evaluated by Western blotting in PC3, DU145, and C4‐2 cells 72 h after transfection with miR‐99a‐3p. (C) miR‐99a‐3p binding sites in the 3′‐UTR of mRNA. Dual‐luciferase reporter assays in PC3 using vectors encoding a putative miR‐99a‐3p target site in the 3′‐UTR (positions 462–468). Data were normalized by expression ratios of Renilla/firefly luciferase activities. *P < 0.0001. To validate direct binding of miR‐99a‐3p in NCAPG mRNA, we performed luciferase reporter assays. The TargetScan database predicted that miR‐99a‐3p joined at position 462–468 in the 3′‐UTR of NCAPG. The luminescence intensity was remarkably reduced by cotransfection with miR‐99a‐3p and wild‐type vector of 3′‐UTR of NCAPG. In contrast, using the vector in which the target site of miR‐99a‐3p was deleted, the luminescence intensity did not change (Fig. 4C).

Expression of NCAPG in PCa clinical specimens

We evaluated the expression levels of NCAPG in PCa tissues (HSPC: n = 16, CRPC: n = 4), normal tissues (n = 17), and PCa cell lines (PC3, DU145, and C4‐2). NCAPG was markedly upregulated in CRPC tissues compared with that in normal tissues and HSPC tissues (P = 0.0002, P = 0.0018, respectively; Fig. 5A). Additionally, Spearman's rank test indicated that miR‐99a‐3p and NCAPG were expressed with negative correlation. (P = 0.0263, r = −0.370; Fig. 5B).
Figure 5

Expression of NCAPG in clinical PCa specimens. (A) Expression levels of in PCa clinical specimens and cell lines. was used as an internal control. (B) The negative correlation between miR‐99a‐3p and . (C) Immunochemical staining of NCAPG in HSPC specimens. (D) Immunochemical staining of NCAPG in mCRPC specimens.

Expression of NCAPG in clinical PCa specimens. (A) Expression levels of in PCa clinical specimens and cell lines. was used as an internal control. (B) The negative correlation between miR‐99a‐3p and . (C) Immunochemical staining of NCAPG in HSPC specimens. (D) Immunochemical staining of NCAPG in mCRPC specimens. Furthermore, to analyze NCAPG protein expression, immunohistochemistry was performed with PCa clinical specimens (Table 1). In CRPC specimens, NCAPG protein was strongly expressed in metastatic tissues from patients with CRPC, compared with non‐PCa or HSPC specimens (Fig. 5C and D).

Effects of silencing NCAPG in PCa cell lines

We examined the effects of NCAPG knockdown in PC3, DU145, and C4‐2 cells using two types of si‐NCAPG (si‐NCAPG‐1 and si‐NCAPG‐2). Two siRNAs effectively downregulated NCAPG mRNA and NCAPG protein expression in PC3, DU145, and C4‐2 cells (Fig. 6A and B). Additionally, functional assays indicated that cell proliferation, migration, and invasion were significantly inhibited by knockdown of NCAPG in comparison with mock‐ or si‐control‐transfected cells (Fig. 6C‐E, S5A and B). Even in LNCaP cells, cell proliferation assay was performed, and its ability was markedly suppressed by knockdown of NCAPG (data not shown).
Figure 6

Effects of silencing in PCa cell lines. (A) mRNA expression was evaluated using qRT‐PCR analysis of PC3, DU145, and C4‐2 cells 48 h after transfection with si‐‐1 or si‐‐2. was used as an internal control. *P < 0.0001. (B) NCAPG protein expression was evaluated by Western blot analysis of PC3, DU145, and C4‐2 cells 72 h after transfection with si‐‐1 or si‐‐2. GAPDH was used as a loading control. (C‐E) Cell proliferation, migration, and invasion assays following transfection with si‐‐1 and si‐‐2. *P < 0.0001.

Effects of silencing in PCa cell lines. (A) mRNA expression was evaluated using qRT‐PCR analysis of PC3, DU145, and C4‐2 cells 48 h after transfection with si‐‐1 or si‐‐2. was used as an internal control. *P < 0.0001. (B) NCAPG protein expression was evaluated by Western blot analysis of PC3, DU145, and C4‐2 cells 72 h after transfection with si‐‐1 or si‐‐2. GAPDH was used as a loading control. (C‐E) Cell proliferation, migration, and invasion assays following transfection with si‐‐1 and si‐‐2. *P < 0.0001.

Effects of cotransfection with NCAPG/miR‐99a‐3p in PC3 cells

We performed NCAPG rescue experiments by cotransfection with NCAPG and miR‐99a‐3p into PC3 cells. Western blot analysis of NCAPG protein expression is shown in Figure 7A and B. According to Western blotting, NCAPG protein levels were recovered by cotransfection with NCAPG and miR‐99a‐3p in PC3 cells. Moreover, the proliferation, migration, and invasion capacities of PC3 cells were recovered by cotransfection with NCAPG and miR‐99a‐3p compared with cells transfected with miR‐99a‐3p only (Fig. 7C–E, S6A and B). These results indicated that NCAPG affected the aggressiveness of PC3 cells.
Figure 7

Effects of cotransfection with in PCa cell lines. (A) NCAPG protein expression was evaluated by Western blot analysis of PC3 cells 48 h after forward transfection with the vector. GAPDH was used as a loading control. (B) NCAPG protein expression was evaluated by Western blot analysis of PC3 cells 72 h after reverse transfection with miR‐99a‐3p and 48 h after forward transfection with the vector. (C) Cell proliferation was determined using XTT assays 72 h after reverse transfection with miR‐99a‐3p and 48 h after forward transfection with the vector. *P < 0.0001. (D) Cell migration activity was assessed by wound‐healing assays 48 h after reverse transfection with miR‐99a‐3p and 24 h after forward transfection with the vector. **P < 0.001. (E) Cell invasion activity was characterized by invasion assays 48 h after reverse transfection with miR‐99a‐3p and 24 h after forward transfection with the vector. **P < 0.001.

Effects of cotransfection with in PCa cell lines. (A) NCAPG protein expression was evaluated by Western blot analysis of PC3 cells 48 h after forward transfection with the vector. GAPDH was used as a loading control. (B) NCAPG protein expression was evaluated by Western blot analysis of PC3 cells 72 h after reverse transfection with miR‐99a‐3p and 48 h after forward transfection with the vector. (C) Cell proliferation was determined using XTT assays 72 h after reverse transfection with miR‐99a‐3p and 48 h after forward transfection with the vector. *P < 0.0001. (D) Cell migration activity was assessed by wound‐healing assays 48 h after reverse transfection with miR‐99a‐3p and 24 h after forward transfection with the vector. **P < 0.001. (E) Cell invasion activity was characterized by invasion assays 48 h after reverse transfection with miR‐99a‐3p and 24 h after forward transfection with the vector. **P < 0.001.

Discussion

One of the main challenges in the treatment of CRPC is the control of aggressive and lethal metastatic PCa cells. We believe that identifying genes and pathways involved in metastasis and the acquisition of treatment resistance will lead to the development of new therapeutic strategies. Based on this background, we have identified several antitumor miRNAs, for example, miR‐1, miR‐133a, miR‐26a, miR‐26b, the miR‐29 family, miR‐205, miR‐218, miR‐221, miR‐222, miR‐223, and miR‐452, and showed that these miRNAs target oncogenes 24, 25, 28, 29, 30, 31, 32, 33, 34. Among these oncogenic genes, the extracellular matrix‐related genes laminin γ3 (LAMC3) and lysyl oxidase‐like 2 (LOXL2) were found to be overexpressed in naïve PCa clinical specimens and to enhance cancer cell migration and invasion in PCa cells 30, 31. Moreover, integrin α3 (ITGA3) and β1 (ITGB1), heterodimeric transmembrane receptors, were also overexpressed in naïve PCa clinical specimens, and integrin‐mediated oncogenic signaling enhanced cancer cell aggressiveness 25. These molecules are putative therapeutic targets for patients with naïve PCa and CRPC. In general miRNA biogenesis, guide strand of miRNA is incorporated into RISC (RNA‐induced silencing complex) and acts as a fine‐tuner of expression control. In contrast, passenger strand of miRNA is disassembled and has no function 17, 18, 19. In miRNA biology, miRNA strand selection process is still obscure that which strand become the guide strand or the passenger strand from a miRNA duplex. Recent studies suggested that the thermodynamic character of the duplex seems to play an important role 35. An important feature of the miRNA guide strand is the U‐bias at the 5′end and excess purine, and the passenger strand has a C‐bias at the 5′ end and an excess of pyrimidine 35. The molecular dynamics of miRNA (guide strand and passenger strand) degradation and stabilization in normal and disease cells remain largely unknown. Despite the previous theory that passenger strands of miRNA have no function, many studies have suggested that some passenger strands have actually functioning in the plant and human cells 36, 37, 38. Our recent studies showed that some passenger strands of miRNAs, for example, miR‐145‐3p, miR‐149‐3p, miR‐150‐3p, miR‐199a‐3p, and miR‐144‐5p, acted as antitumor miRNAs in several types of cancers 11, 12, 13, 14, 15. miR‐145‐5p (guide strand) is known to act as an antitumor miRNA in a variety of cancers through targeting several oncogenes 39, 40, 41. We showed that both strands of pre‐miR‐145, that is, miR‐145‐5p and miR‐145‐3p, were significantly downregulated in CRPC specimens compared with those in naïve PCa or non‐PCa specimens 15. Our data demonstrated that miR‐145‐3p (passenger strand) had stronger antitumor effects than miR‐145‐5p (guide strand) in PCa cells 15. We also confirmed the antitumor effects of miR‐145‐3p in bladder and lung and cancers 42, 43. More recently, we showed that both miR‐150‐5p (guide strand) and miR‐150‐3p (passenger strand) acted as antitumor miRNAs through targeting SPARC/osteonectin and cwcv and kazal‐like domains proteoglycan 1 (SPOCK1) in naïve PCa and CRPC cells 11. The involvement of passenger strand miRNAs in cellular processes regulation is a new conception in RNA research. In this study, we focused on miR‐99a‐5p whose expression was significantly downregulated in our miRNA signature of metastatic CRPC and investigated the functional roles including passenger strand miR‐99a‐3p in PCa cells. As the results, we indicated that miR‐99a‐3p has potent antitumor effects in PCa cells. The expression levels of the two miRNAs, miR‐99a‐5p and miR‐99a‐3p, were obviously different in clinical specimens and cancer cell lines. We do not see any clear answer as to why this kind of difference will arise. This challenge is an important issue for miRNA research. In addition, a more detailed study on the concentration of miRNAs to be transfected into cancer cells and antitumor effects will be necessary. The miR‐99a‐5p (guide strand) has been reported to have tumor‐suppressive roles in various types of cancers, including PCa 20, 21, 22, 23, 44. In nonsmall‐cell lung cancer, miR‐99a‐5p was reported to suppress cancer cell proliferation and metastasis by controlling the AKT1 signaling pathway and insulin‐like growth factor‐1 receptor, which could also serve as a diagnostic biomarker 23, 44. Additionally, several recent reports demonstrated the antitumor effects of miR‐99a‐5p on mammalian target of rapamycin (mTOR) regulation 20, 21, 22. For example, miR‐99a‐5p directly regulates the mTOR pathway to induce G1‐phase cell cycle arrest and suppress tumorigenicity in renal cell carcinoma 21. Additionally, in PCa, the miR‐99 family, including miR‐99a‐5p, directly targets the chromatin‐remodeling factors SMARCA5 and SMARCD1 and the growth regulatory kinase mTOR, suppresses the expression of PSA, and blocks PCa cell proliferation 45. Furthermore, inhibition of the miR‐99a/let‐7c/miR‐125b‐2 miRNA cluster promotes the induction of several androgen‐induced genes and stimulates the initiation and progression of PCa 46. In contrast, the passenger strand miR‐99a‐3p has been reported as a diagnostic marker of the chemotherapy response in patients with advanced colorectal cancer 47; however, there are no reports examining the functional significance of miR‐99a‐3p in cancer cells. Our previous studies of miRNA signatures showed that miR‐99a‐3p was significantly downregulated in bladder cancer, renal cell carcinoma, and head and neck squamous cell carcinoma, suggesting miR‐99a‐3p has antitumor roles in these cancers 48, 49, 50. Moreover, TCGA database revealed that low expression of miR‐99a‐3p was significantly associated with poor prognosis in head and neck cancer and lung adenocarcinoma (Fig. S7). This is the first report demonstrating that miR‐99‐3p may function as an antitumor miRNA in naïve PCa and CRPC cells. Unique nature of miRNA, single miRNA controls vast number of genes in normal and cancer cells. We performed gene expression analyses and in silico database search to identify miR‐99a‐3p regulated oncogenic genes in PCa cells. Interestingly, a large number of cohort analyses by TCGA database showed several targets were deeply involved PCa pathogenesis. These genes might be important tools for elucidating the molecular pathogenesis of PCa and CRPC. In this study, by focusing on miR‐99a‐3p, which had not been well studied in previous reports, we found that NCAPG was directly regulated by miR‐99a‐3p in PCa cells. Overexpression of NCAPG was observed in CRPC clinical specimens, and its expression was found to be essential for PCa pathogenesis, as demonstrated by analysis of TCGA database. Interestingly, our previous study indicated that NCAPG was regulated by miR‐145‐3p in PCa cells 15. Thus, NCAPG is a candidate gene controlled by multiple antitumor miRNAs in CRPC, and its function in the pathogenesis of PCa may be important. However, the cancer‐promoting functions of this molecule are still not well known. NCAPG is involved in mitotic chromosome condensation and is related to the cell cycle. Mitotic chromosome condensation is an essential cellular property of all proliferating cells and results in reconstitution of chromosomes into rod‐like mitotic chromosomes, ensuring separation of sister chromatids during cell division. In vertebrates, there are two types of condensin complexes, type I and II complexes, both of which contain nonstructural maintenance of chromosomes (non‐SMC) regulatory subunits. Defects in one of the subunits cause incomplete chromosome condensation 51, 52. NCAPG exists in the condensin I complex and is associated with proper segregation of sister chromatids in the condensation and fission of mitotic chromosomes 53. Previous studies showed that NCAPG was involved in the cell cycle and had cancer‐promoting functions in several types of cancers 54, 55. A recent study showed that knockdown of NCAPG induced apoptosis, reduced cancer cell survival, and suppressed the epithelial–mesenchymal transition (EMT) in cancer cells via upregulation of Bax, cleaved caspase‐3, and E‐cadherin and downregulation of cyclin A1, CDK2, Bcl‐2, N‐cadherin, and HOXB9 in hepatocellular carcinoma 55. Our present data showed that aberrant expression of NCAPG enhanced PCa cell aggressiveness. Thus, these data suggested that NCAPG had clinical significance in PCa pathogenesis and could have applications as a therapeutic target in CRPC. In conclusion, both strands of pre‐miR‐99a, that is, miR‐99a‐5p and miR‐99a‐3p, were significantly reduced in naïve PCa and CRPC clinical specimens. The passenger strand, miR‐99a‐3p, had potent antitumor effects via targeting of the oncogene NCAPG in PCa cells. NCAPG was markedly elevated in CRPC and was involved in CRPC pathogenesis, suggesting that NCAPG could have applications as a therapeutic target in CRPC. The involvement of passenger strand miRNAs in cancer cells is novel concept of naïve PCa and CRPC pathogenesis.

Conflict of Interest

The authors declare no conflict of interests. Figure S1. Schematic representation of the chromosomal location of human miR‐99a. Click here for additional data file. Figure S2. Expression levels of pri‐miR‐99a in PCa clinical specimens and cell lines. Click here for additional data file. Figure S3. Both strands of miR‐99a‐5p and miR‐99a‐3p incorporated into the RISC. Click here for additional data file. Figure S4. Phase micrographs of wound healing and invasion assays following transfection with miR‐99a‐5p/3p in PCa cell lines. Click here for additional data file. Figure S5. Phase micrographs of wound healing and invasion assays following transfection with si‐NCAPG in PCa cell lines. Click here for additional data file. Figure S6. Phase micrographs of wound healing and invasion assays following cotransfection with NCAPG/miR‐99a‐3p in PC3 cells. Click here for additional data file. Figure S7. Kaplan‐Meier survival curves based on miR‐99a‐3p expression in patients with Head and Neck squamous cell carcinoma and Lung adenocarcinoma. Click here for additional data file. Table S1. Product numbers of reagents. Click here for additional data file.
  55 in total

1.  Structural basis for 5'-nucleotide base-specific recognition of guide RNA by human AGO2.

Authors:  Filipp Frank; Nahum Sonenberg; Bhushan Nagar
Journal:  Nature       Date:  2010-05-26       Impact factor: 49.962

2.  Human RISC couples microRNA biogenesis and posttranscriptional gene silencing.

Authors:  Richard I Gregory; Thimmaiah P Chendrimada; Neil Cooch; Ramin Shiekhattar
Journal:  Cell       Date:  2005-11-03       Impact factor: 41.582

3.  Tumour suppressors miR-1 and miR-133a target the oncogenic function of purine nucleoside phosphorylase (PNP) in prostate cancer.

Authors:  S Kojima; T Chiyomaru; K Kawakami; H Yoshino; H Enokida; N Nohata; M Fuse; T Ichikawa; Y Naya; M Nakagawa; N Seki
Journal:  Br J Cancer       Date:  2011-11-08       Impact factor: 7.640

4.  microRNA-99a is downregulated and promotes proliferation, migration and invasion in non-small cell lung cancer A549 and H1299 cells.

Authors:  Changjin Chen; Ziyi Zhao; Yu Liu; Dezhi Mu
Journal:  Oncol Lett       Date:  2015-01-14       Impact factor: 2.967

5.  Regulation of spindle and kinetochore-associated protein 1 by antitumor miR-10a-5p in renal cell carcinoma.

Authors:  Takayuki Arai; Atsushi Okato; Satoko Kojima; Tetsuya Idichi; Keiichi Koshizuka; Akira Kurozumi; Mayuko Kato; Kazuto Yamazaki; Yasuo Ishida; Yukio Naya; Tomohiko Ichikawa; Naohiko Seki
Journal:  Cancer Sci       Date:  2017-08-19       Impact factor: 6.716

6.  Regulation of ITGA3 by the anti-tumor miR-199 family inhibits cancer cell migration and invasion in head and neck cancer.

Authors:  Keiichi Koshizuka; Toyoyuki Hanazawa; Naoko Kikkawa; Takayuki Arai; Atsushi Okato; Akira Kurozumi; Mayuko Kato; Koji Katada; Yoshitaka Okamoto; Naohiko Seki
Journal:  Cancer Sci       Date:  2017-07-04       Impact factor: 6.716

7.  The loss of the tumour-suppressor miR-145 results in the shorter disease-free survival of prostate cancer patients.

Authors:  M Avgeris; K Stravodimos; E G Fragoulis; A Scorilas
Journal:  Br J Cancer       Date:  2013-05-23       Impact factor: 7.640

8.  The microRNA expression signature of bladder cancer by deep sequencing: the functional significance of the miR-195/497 cluster.

Authors:  Toshihiko Itesako; Naohiko Seki; Hirofumi Yoshino; Takeshi Chiyomaru; Takeshi Yamasaki; Hideo Hidaka; Tomokazu Yonezawa; Nijiro Nohata; Takashi Kinoshita; Masayuki Nakagawa; Hideki Enokida
Journal:  PLoS One       Date:  2014-02-10       Impact factor: 3.240

9.  MicroRNA-145 inhibits tumour growth and metastasis in colorectal cancer by targeting fascin-1.

Authors:  Y Feng; J Zhu; C Ou; Z Deng; M Chen; W Huang; L Li
Journal:  Br J Cancer       Date:  2014-03-18       Impact factor: 7.640

10.  Regulation of UHRF1 by dual-strand tumor-suppressor microRNA-145 (miR-145-5p and miR-145-3p): Inhibition of bladder cancer cell aggressiveness.

Authors:  Ryosuke Matsushita; Hirofumi Yoshino; Hideki Enokida; Yusuke Goto; Kazutaka Miyamoto; Masaya Yonemori; Satoru Inoguchi; Masayuki Nakagawa; Naohiko Seki
Journal:  Oncotarget       Date:  2016-05-10
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  33 in total

1.  Identification of castration-dependent and -independent driver genes and pathways in castration-resistant prostate cancer (CRPC).

Authors:  Yan Li; Hui Shi; Zhenjun Zhao; Minghui Xu
Journal:  BMC Urol       Date:  2022-10-18       Impact factor: 2.090

2.  Molecular pathogenesis of breast cancer: impact of miR-99a-5p and miR-99a-3p regulation on oncogenic genes.

Authors:  Yoshiaki Shinden; Tadahiro Hirashima; Nijiro Nohata; Hiroko Toda; Reona Okada; Shunichi Asai; Takako Tanaka; Yuto Hozaka; Takao Ohtsuka; Yuko Kijima; Naohiko Seki
Journal:  J Hum Genet       Date:  2020-11-12       Impact factor: 3.172

3.  Dual strands of the miR-145 duplex (miR-145-5p and miR-145-3p) regulate oncogenes in lung adenocarcinoma pathogenesis.

Authors:  Shunsuke Misono; Naohiko Seki; Keiko Mizuno; Yasutaka Yamada; Akifumi Uchida; Takayuki Arai; Tomohiro Kumamoto; Hiroki Sanada; Takayuki Suetsugu; Hiromasa Inoue
Journal:  J Hum Genet       Date:  2018-08-06       Impact factor: 3.172

4.  Molecular pathogenesis of triple-negative breast cancer based on microRNA expression signatures: antitumor miR-204-5p targets AP1S3.

Authors:  Hiroko Toda; Sasagu Kurozumi; Yuko Kijima; Tetsuya Idichi; Yoshiaki Shinden; Yasutaka Yamada; Takayuki Arai; Kosei Maemura; Takaaki Fujii; Jun Horiguchi; Shoji Natsugoe; Naohiko Seki
Journal:  J Hum Genet       Date:  2018-09-18       Impact factor: 3.172

5.  Decoding the evolutionary response to prostate cancer therapy by plasma genome sequencing.

Authors:  Naveen Ramesh; Emi Sei; Pei Ching Tsai; Shanshan Bai; Yuehui Zhao; Patricia Troncoso; Paul G Corn; Christopher Logothetis; Amado J Zurita; Nicholas E Navin
Journal:  Genome Biol       Date:  2020-07-06       Impact factor: 13.583

6.  Identification and Verification of Biomarker in Clear Cell Renal Cell Carcinoma via Bioinformatics and Neural Network Model.

Authors:  Bin Liu; Yu Xiao; Hao Li; Ai-Li Zhang; Ling-Bing Meng; Lu Feng; Zhi-Hong Zhao; Xiao-Chen Ni; Bo Fan; Xiao-Yu Zhang; Shi-Bin Zhao; Yi-Bo Liu
Journal:  Biomed Res Int       Date:  2020-06-15       Impact factor: 3.411

7.  NCAPG confers trastuzumab resistance via activating SRC/STAT3 signaling pathway in HER2-positive breast cancer.

Authors:  Lili Jiang; Liangliang Ren; Han Chen; Jinyuan Pan; Zhuojun Zhang; Xiangqin Kuang; Xuhong Chen; Wenhao Bao; Chun Lin; Zhongqiu Zhou; Danping Huang; Jianan Yang; Hongbiao Huang; Lan Wang; Ning Hou; Libing Song
Journal:  Cell Death Dis       Date:  2020-07-18       Impact factor: 8.469

8.  miR-129-5p inhibits prostate cancer proliferation via targeting ETV1.

Authors:  Ge Gao; Dianhui Xiu; Bin Yang; Daju Sun; Xin Wei; Youpeng Ding; Yanan Ma; Zhixin Wang
Journal:  Onco Targets Ther       Date:  2019-05-09       Impact factor: 4.147

9.  Aberrantly expressed PLOD1 promotes cancer aggressiveness in bladder cancer: a potential prognostic marker and therapeutic target.

Authors:  Yasutaka Yamada; Mayuko Kato; Takayuki Arai; Hiroki Sanada; Akifumi Uchida; Shunsuke Misono; Shinichi Sakamoto; Akira Komiya; Tomohiko Ichikawa; Naohiko Seki
Journal:  Mol Oncol       Date:  2019-06-27       Impact factor: 6.603

10.  Pirin: a potential novel therapeutic target for castration-resistant prostate cancer regulated by miR-455-5p.

Authors:  Takayuki Arai; Satoko Kojima; Yasutaka Yamada; Sho Sugawara; Mayuko Kato; Kazuto Yamazaki; Yukio Naya; Tomohiko Ichikawa; Naohiko Seki
Journal:  Mol Oncol       Date:  2018-12-21       Impact factor: 6.603

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