Literature DB >> 26509963

Tumor-suppressive microRNA-223 inhibits cancer cell migration and invasion by targeting ITGA3/ITGB1 signaling in prostate cancer.

Akira Kurozumi1,2, Yusuke Goto1,2, Ryosuke Matsushita3, Ichiro Fukumoto1, Mayuko Kato1,2, Rika Nishikawa1,2, Shinichi Sakamoto2, Hideki Enokida3, Masayuki Nakagawa3, Tomohiko Ichikawa2, Naohiko Seki1.   

Abstract

Analysis of microRNA (miRNA) expression signatures in prostate cancer (PCa) and castration-resistant PCa has revealed that miRNA-223 is significantly downregulated in cancer tissues, suggesting that miR-223 acts as a tumor-suppressive miRNA by targeting oncogenes. The aim of this study was to investigate the functional roles of miR-223 and identify downstream oncogenic targets regulated by miR-223 in PCa cells. Functional studies of miR-223 were carried out to investigate cell proliferation, migration, and invasion using PC3 and PC3M PCa cell lines. Restoration of miR-223 significantly inhibited cancer cell migration and invasion in PCa cells. In silico database and genome-wide gene expression analyses revealed that ITGA3 and ITGB1 were direct targets of miR-223 regulation. Knockdown of ITGA3 and ITGB1 significantly inhibited cancer cell migration and invasion in PCa cells by regulating downstream signaling. Moreover, overexpression of ITGA3 and ITGB1 was observed in PCa clinical specimens. Thus, our data indicated that downregulation of miR-223 enhanced ITGA3/ITGB1 signaling and contributed to cancer cell migration and invasion in PCa cells. Elucidation of the molecular pathways modulated by tumor-suppressive miRNAs provides insights into the mechanisms of PCa progression and metastasis.
© 2015 The Authors. Cancer Science published by Wiley Publishing Asia Pty Ltd on behalf of Japanese Cancer Association.

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Keywords:  ITGA3; ITGB1; miR-223; microRNA; prostate cancer

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Year:  2015        PMID: 26509963      PMCID: PMC4724812          DOI: 10.1111/cas.12842

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


Prostate cancer (PCa) is the most common cause of cancer in men, accounting for approximately one‐quarter of all cancer cases in men.1 Multiple treatment options are available for localized PCa, and the 5‐year survival rate is nearly 100%; however, effective curative treatments for advanced PCa have not been developed.2 Skeletal metastasis is one of the most common and important features of advanced PCa.3 Metastatic PCa is initially treated with androgen‐deprivation therapy; however, the cancer gradually becomes resistant to first‐line androgen‐deprivation therapy and progresses to castration‐resistant PCa (CRPC).2 Progression of PCa to metastatic disease significantly affects the survival of men with PCa. Therefore, developing a deeper understanding of the molecular mechanisms of metastatic pathways underlying PCa metastasis using novel approaches will facilitate the development of novel treatment options for advanced PCa. Normal regulatory mechanisms can be disrupted by the aberrant expression of tumor‐suppressive or oncogenic microRNAs (miRNAs) in cancer cells. Therefore, identification of aberrantly expressed miRNAs is an important first step toward elucidating the details of miRNA‐mediated oncogenic pathways. Based on this background, we have identified tumor‐suppressive miRNAs and the molecular targets and pathways regulated by these miRNAs on the miRNA expression signatures of PCa and CRPC specimens.4, 5, 6, 7, 8, 9, 10, 11 Recent studies of several miRNA signatures in PCa showed that miR‐223 expression is frequently reduced in cancer tissues compared to that in normal prostate tissues,4, 12, 13 suggesting that miR‐223 acts as a tumor suppressor in PCa. Integrins are cell surface receptors for ECM proteins, and integrin‐mediated signaling plays a key role in cell survival, proliferation, migration, and invasion in normal and malignant cells.14, 15 Studies have shown that silencing of these genes significantly inhibits cell migration and invasion in cancer cells through targeting its downstream signaling. The aim of the present study was to investigate the functional significance of miR‐223 and to identify the molecular targets and downstream signaling pathways regulated by miR‐223 in PCa cells. Our data showed that restoration of mature miR‐223 inhibited cancer cell migration and invasion. Moreover, gene expression data and in silico database analysis showed that the genes coding for integrin A3 (ITGA3) and integrin B1 (ITGB1) were potential targets of miR‐223 regulation. The discovery that tumor‐suppressive miR‐223 regulated integrin genes provides important insights into the potential mechanisms of PCa metastasis and suggests novel therapeutic strategies for the treatment of PCa.

Materials and Methods

Clinical prostate specimens and cell culture

Seventeen patients with PCa who had undergone radical prostatectomy at Chiba University Hospital (Chiba, Japan) from 2009 to 2013 and 29 patients with elevated prostate‐specific antigen (PSA) who had undergone transrectal needle biopsy at Teikyo University Chiba Medical Center (Ichihara, Japan) from 2008 to 2013 were enrolled in this study. The patients' backgrounds are summarized in Table 1. As for prostatectomy specimens, 17 paired samples of PCa and corresponding normal tissues were obtained. For needle biopsy specimens, a pair of needle biopsy specimens was collected from the same region as from patients in this study, and one was subjected to pathological verification. The normal tissues were free of cancer cells, as determined by pathological examination. Before tissue collection, written informed consent of tissue donation for research purposes was obtained from patients. The protocol was approved by the Institutional Review Board of Chiba University and Teikyo University.
Table 1

Characteristics of patients with prostate cancer (PCa) who had undergone radical prostatectomy (n = 17) and patients with elevated prostate‐specific antigen (PSA) who had undergone transrectal needle biopsy (non‐PCa) (n = 29) and their paired normal samples

No.ProcedurePCa or non‐PCaAge, yearsPSA, ng/mLGleason scoreStagecTcNcM
1ProstatectomyPCa645.433+4III3a00
2ProstatectomyPCa6812.813+5III3a00
3ProstatectomyPCa7016.064+5III3b00
4ProstatectomyPCa6925.794+5II2a00
5ProstatectomyPCa6429.934+3II2b00
6ProstatectomyPCa617.853+4III3a00
7ProstatectomyPCa688.784+5II2b00
8ProstatectomyPCa666.134+3II2b00
9ProstatectomyPCa7011.754+4III3b00
10ProstatectomyPCa6022.103+4II2b00
11ProstatectomyPCa708.883+4II2a00
12ProstatectomyPCa724.483+4II2b00
13ProstatectomyPCa567.123+4III3a00
14ProstatectomyPCa6513.084+3II2b00
15ProstatectomyPCa659.534+4II2b00
16ProstatectomyPCa655.804+3II2a00
17ProstatectomyPCa654.595+4II2b00
18ProstatectomyNon‐PCa645.43
19ProstatectomyNon‐PCa6812.81
20ProstatectomyNon‐PCa7016.06
21ProstatectomyNon‐PCa6925.79
22ProstatectomyNon‐PCa6429.93
23ProstatectomyNon‐PCa617.85
24ProstatectomyNon‐PCa688.78
25ProstatectomyNon‐PCa666.13
26ProstatectomyNon‐PCa7011.75
27ProstatectomyNon‐PCa6022.10
28ProstatectomyNon‐PCa708.88
29ProstatectomyNon‐PCa724.48
30ProstatectomyNon‐PCa567.12
31ProstatectomyNon‐PCa6513.08
32ProstatectomyNon‐PCa659.53
33ProstatectomyNon‐PCa655.80
34ProstatectomyNon‐PCa654.59
35BiopsyPCa65989.004+5IV411
36BiopsyPCa73478.004+3IV3b01
37BiopsyPCa7563.204+5IV411
38BiopsyPCa7995.604+5IV3b11
39BiopsyPCa69248.004+4IV411
40BiopsyPCa7036.083+4IV3a10
41BiopsyPCa661338.004+5IV3a10
42BiopsyPCa81332.004+5IV401
43BiopsyPCa72355.004+4III3a00
44BiopsyPCa65208.004+4IV411
45BiopsyPCa81102.004+4II200
46BiopsyPCa75212.004+4III3b00
47BiopsyPCa7312.904+4IV3b10
48BiopsyPCa5811.404+4IV3b10
49BiopsyPCa7322.704+4III3a00
50BiopsyNon‐PCa545.44
51BiopsyNon‐PCa605.60
52BiopsyNon‐PCa675.93
53BiopsyNon‐PCa678.09
54BiopsyNon‐PCa6014.00
55BiopsyNon‐PCa695.99
56BiopsyNon‐PCa568.44
57BiopsyNon‐PCa618.60
58BiopsyNon‐PCa6235.50
59BiopsyNon‐PCa575.19
60BiopsyNon‐PCa644.37
61BiopsyNon‐PCa605.68
62BiopsyNon‐PCa6311.40
63BiopsyNon‐PCa6513.20

–, Not applicable.

Characteristics of patients with prostate cancer (PCa) who had undergone radical prostatectomy (n = 17) and patients with elevated prostate‐specific antigen (PSA) who had undergone transrectal needle biopsy (non‐PCa) (n = 29) and their paired normal samples –, Not applicable. For in vitro analyses, we used human PCa cell lines PC3 and PC3M obtained from ATCC (Manassas, VA, USA). These cells were maintained in RPMI‐1640 medium supplemented with 10% FBS in a humidified atmosphere of 5% CO2 and 95% air at 37°C.

RNA extraction

Total RNA was extracted from formalin‐fixed paraffin‐embedded samples with four 5‐μm‐thick slices, using the miRNeasy FFPE Kit (Qiagen, Hilden, Germany) according to the manufacturer's protocol.

Quantitative real‐time RT‐PCR

The procedure for PCR quantification was described previously.11, 16, 17 TaqMan probes and primers for ITGA3 (P/N: Hs01076873_ml), ITGB1 (P/N: Hs00559595_ml), and ACTB (internal control; P/N: Hs01060665_gl) (all Applied Biosystems, Foster City, CA, USA) were assay‐on‐demand gene expression products. The expression levels of miR‐223 (assay ID: 002295; Applied Biosystems) were analyzed by TaqMan quantitative real‐time RT‐PCR (qRT‐PCR) (TaqMan MicroRNA Assay; Applied Biosystems) and normalized to the expression of RNU48 (assay ID: 001006; Applied Biosystems). All reactions were carried out in triplicate, and each assay included negative control reactions that lacked cDNA.

Mature miRNA, siRNA, and plasmid vector transfection

The following miRNA and siRNAs were used: Pre‐miR miRNA precursor (hsa‐miR‐223‐3p; P/N: AM12301; Applied Biosystems), Stealth Select RNAi siRNAs; siITGA3 (cat. nos. HSS105529 and HSS179967; Invitrogen Carlsbad, CA, USA), siITGB1 (cat nos. HSS105559 and HSS105561; Invitrogen), and negative control miRNA/siRNA (P/N: AM17111; Applied Biosystems). RNAs were incubated with Opti‐MEM (Invitrogen) and Lipofectamine RNAiMax transfection reagent (Invitrogen) as described previously.11, 16, 17 For ITGA3 or ITGB1 rescue experiments, 2.5 g pF4A CMV Flexi‐plasmid vector containing ITGA3 or ITGB1 (C848A; Promega, Madison, WI, USA) were transfected 24 h before miRNA transfection by using Lipofectamine 2000 transfection reagent (Life Technologies, Carlsbad, CA, USA).

Cell proliferation, migration, and invasion assays

Cell proliferation, migration, and invasion assays were carried out as previously described.11, 16, 17

Western blot analysis

Cells were harvested 72 h after transfection, and lysates were prepared. Next, 20 μg each cell lysate was separated on Mini‐PROTEAN TGX Gels (Bio‐Rad, Hercules, CA, USA) and transferred to PVDF membranes. Immunoblotting was carried out with rabbit anti‐ITGA3 antibodies (HPA008572, 1:250 dilution; Sigma‐Aldrich, St. Louis, MO, USA), rabbit anti‐ITGB1 antibodies (9699, 1:1000 dilution; Cell Signaling Technology, Danvers, MA, USA), rabbit anti‐focal adhesion kinase (FAK) antibodies (#3285, 1:1000 dilution; Cell Signaling Technology), anti‐phospho‐FAK (Tyr397) (D20B1) rabbit mAbs (#8556, 1:1000 dilution; Cell Signaling Technology), anti‐Akt (pan) (11E7) rabbit mAbs (#4685, 1:1000 dilution; Cell Signaling Technology), anti‐phospho‐Akt (Ser473) (D9E) XP rabbit mAbs (#4060, 1:1000 dilution; Cell Signaling Technology), anti‐Src (32G6) rabbit mAbs (#2123, 1:1000 dilution; Cell Signaling Technology), anti‐phospho‐Src family (Tyr416) (D49G4) rabbit mAbs (#6943, 1:1000 dilution; Cell Signaling Technology), anti‐p44/42 MAPK (also known as ERK1/2) antibodies (#9102, 1:1000 dilution; Cell Signaling Technology), anti‐phospho‐p44/42 MAPK (Erk1/2) (Thr202/Tyr204) (D13.14.4E) XP rabbit mAbs (#4370, 1:1000 dilution; Cell Signaling Technology), and anti‐GAPDH antibodies (ab8245, 1:1000 dilution; Abcam, Cambridge, UK) as a loading control. The membranes were washed and incubated with anti‐rabbit IgG HRP‐linked antibodies (#7074; Cell Signaling Technology). Complexes were visualized with Clarity Western ECL Substrate (Bio‐Rad).

Screening of miR‐223 target genes using in silico analysis and genome‐wide gene expression analysis

To identify miR‐223 target genes, we used in silico analysis and genome‐wide gene expression analysis, as described previously.18, 19 The strategy for selection of miR‐223 target genes is shown in Figure S1.

Plasmid construction and dual‐luciferase reporter assay

Partial wild‐type sequences of the ITGA3/ITGB1 3′‐UTR or those with deleted miR‐223 target sites were inserted between the XhoI–PmeI restriction sites in the 3′‐UTR of the hRluc gene in the psiCHECK‐2 vector (C8021; Promega). The synthesized DNA was cloned into the psiCHECK‐2 vector. PC3 cells were transfected with 50 ng vector and 10 nM miR‐223 using Lipofectamine 2000 (Invitrogen). The activities of firefly and Renilla luciferases in cell lysates were determined with a dual‐luciferase assay system (E1910; Promega). Normalized data were calculated as the ratio of Renilla/firefly luciferase activities.

Immunohistochemistry

A total of 17 radical prostatectomy specimens were used (Table 1). Tissue specimens were immunostained using an Ultra‐Vision Detection System (Thermo Scientific, Fremont, CA, USA) according to the manufacturer's instructions. Primary rabbit polyclonal antibodies against ITGA3 (HPA008572; Sigma‐Aldrich) were diluted 1:15, and primary mouse mAbs against ITGB1 (ab3167; Abcam) were diluted 1:100. The slides were treated with biotinylated goat antibodies. A tissue microarray containing 60 PCa specimens, 10 prostatic intraepithelial neoplasias, and 10 prostatic hyperplastic samples was obtained from Provitro (Berlin, Germany) (Cat. #401 2209, Lot #146.1 P020212, 26‐46). Detailed information on all cancer specimens can be found at http://www.provitro.com/fileadmin/provitro-data/TMA/4012209.pdf. Immunostaining was evaluated according to the scoring method described previously.11

Statistical analysis

The relationships between two groups and the numerical values obtained by real‐time RT‐PCR were analyzed using the Mann–Whitney U‐test. The relationships among three variables and numerical values were analyzed using the Bonferroni‐adjusted Mann–Whitney U‐test. All analyses were carried out using Expert StatView (version 5; SAS Institute Inc., Cary, NC, USA).

Results

Expression levels of miR‐223 in PCa clinical specimens and cell lines

To validate our past PCa miRNA signature results, we evaluated the expression levels of miR‐223 in 34 radical prostatectomy specimens and 29 transrectal needle biopsy specimens. The expression levels of miR‐223 were significantly lower in PCa clinical specimens than in non‐cancerous specimens (P = 0.0069, Fig. 1a; P = 0.0184, Fig. 1b). The miR‐223 expression was also reduced in PC3 and PC3M cells compared with that in non‐cancerous specimens.
Figure 1

Expression levels of miR‐223 in prostate cancer (PCa) clinical specimens and PCa cell lines PC3 and PC3M. (a, b) Quantitative real‐time RT‐PCR showed that the expression levels of miR‐223 were significantly lower in PCa tissues and PCa cell lines than in normal prostate tissues. was used as an internal control. Effects of miR‐223 transfection on PCa cell lines PC3 and PC3M. (c) Cell proliferation was determined by XTT assays 72 h after transfection with miR‐223 (10 nM). (d) Cell migration activity was determined by wound‐healing assays 48 h after transfection with miR‐223 (10 nM). (e) Cell invasion activity was determined by Matrigel invasion assays 48 h after transfection with miR‐223 (10 nM). *P < 0.05.

Expression levels of miR‐223 in prostate cancer (PCa) clinical specimens and PCa cell lines PC3 and PC3M. (a, b) Quantitative real‐time RT‐PCR showed that the expression levels of miR‐223 were significantly lower in PCa tissues and PCa cell lines than in normal prostate tissues. was used as an internal control. Effects of miR‐223 transfection on PCa cell lines PC3 and PC3M. (c) Cell proliferation was determined by XTT assays 72 h after transfection with miR‐223 (10 nM). (d) Cell migration activity was determined by wound‐healing assays 48 h after transfection with miR‐223 (10 nM). (e) Cell invasion activity was determined by Matrigel invasion assays 48 h after transfection with miR‐223 (10 nM). *P < 0.05. However, it was not able to assess the correlation between miR‐223 expression and clinicopathological characteristics due to the limited number of clinical specimens. The cohort study with increased number of specimens will be important in the future.

Effects of miR‐223 restoration on cell proliferation, migration, and invasion in PCa cells

To investigate the functional effects of miR‐223, we carried out gain‐of‐function studies using miRNA transfection of PC3 and PC3M cells. The XTT assays revealed significant inhibition of cell proliferation in PC3 and PC3M cells transfected with miR‐223 in comparison with mock‐ or control‐transfected cells (PC3, P < 0.0001; PC3M, P = 0.0002; Fig. 1c). Similarly, wound healing assays showed significant inhibition of cell migration activities in miR‐223 transfectants compared with that in mock‐ or miR‐control‐transfected cells (PC3, P = 0.0176; PC3M, P < 0.0001; Fig. 1d). Moreover, Matrigel invasion assays revealed that miR‐223 transfection significantly inhibited cell invasion. The number of invaded cells was significantly reduced in miR‐223‐transfected cells (PC3, P < 0.0001; PC3M, P < 0.0001; Fig. 1e).

Identification of candidate target genes of miR‐223 in PCa cells

To identify target genes of miR‐223, we carried out a combination of in silico and oligomicroarray analyses. First, we undertook genome‐wide gene expression analysis using PC3 and PC3M cells. A total of 936 genes that were downregulated (average log2 ratio < −0.5) following miR‐223 transfection as compared with expression levels in miR‐control‐transfected cells were selected. Next, we screened these genes using the TargetScan database and found that 247 genes had putative target sites for miR‐223 in their 3′‐UTRs. Finally, we categorized these genes into KEGG pathways using GeneCodis analysis; 14 pathways were identified as significantly enriched (Table 2).
Table 2

Significantly enriched pathways following miR‐223 transfection in PC3 and PC3M prostate cancer cells

KEGG entry numberAnnotation P‐valueGenes
4512ECM–receptor interaction0.0001809 SDC4, ITGA3, LAMC2, ITGB1, CD44
4010MAPK signaling pathway0.0002460 MAP3K13, AKT3, PRKCA, MKNK2, GNG12, RRAS2, STMN1, FLNB
4810Regulation of actin cytoskeleton0.0003455 ABI2, ITGA3, TMSB4X, GNG12, ARPC5L, RRAS2, ITGB1
5130Pathogenic Escherichia coli infection0.0003558 PRKCA, TUBA1B, ARPC5L, ITGB1
4141Protein processing in endoplasmic reticulum0.0004903 ERLEC1, UFD1L, HSPH1, RRBP1, TRAM1, HSP90B1
5200Pathways in cancer0.0009929 PPARD, EPAS1, ITGA3, AKT3, PRKCA, LAMC2, ITGB1, HSP90B1
4530Tight junction0.0013334 MPP5, AKT3, PRKCA, EPB41L3, RRAS2
4510Focal adhesion0.0014889 ITGA3, AKT3, PRKCA, LAMC2, ITGB1, FLNB
4120Ubiquitin‐mediated proteolysis0.0015753 UBE2A, UBE3B, CDC27, UBE2L3, TRIM37
5222Small‐cell lung cancer0.0018785 ITGA3, AKT3, LAMC2, ITGB1
4970Salivary secretion0.0019618 ATP1B1, KCNMA1, ITPR3, PRKCA
4972Pancreatic secretion0.0032883 ATP1B1, KCNMA1, ITPR3, PRKCA
5010Alzheimer's disease0.0035642 NDUFA5, ITPR3, BACE1, NDUFA3, PSEN1
4978Mineral absorption0.0039263 ATP1B1, MT1E, STEAP2
Significantly enriched pathways following miR‐223 transfection in PC3 and PC3M prostate cancer cells Because miR‐223 significantly inhibited cancer cell migration and invasion, we focused on three annotations: ECM–receptor interaction, regulation of actin cytoskeleton, and focal adhesion. These three annotations all included ITGA3 and ITGB1; therefore, these genes were subjected to further analysis.

Immunohistochemical detection of ITGA3 and ITGB1 in PCa clinical specimens

Next, we examined the expression levels of ITGA3 and ITGB1 in PCa specimens by immunohistochemical staining. ITGA3 and ITGB1 were strongly expressed in several cancer tissues, while low expression was observed in normal tissues (Fig. 2). To gain further insights into whether the upregulation of ITGA3 and ITGB1 correlates with clinicopathological features, we used tissue microarray (Table S1). Immunostaining was evaluated according to the scoring method as described previously.11 Each case was scored on the basis of the intensity and area of staining. Both upregulation of ITGA3 and ITGB1 were confirmed in the PCa tissue compared with non‐PCa tissue (Fig. S4, P = 0.0294 and P = 0.0003). The expression levels of ITGA3 or ITGB1 were not associated with clinicopathological features of PCa in this analysis.
Figure 2

Immunohistochemical staining of integrin A3 (ITGA3) and integrin B1 (ITGB1) in clinical specimens of prostate cancer and normal prostate tissues. (a) ITGA3 was expressed more strongly in several cancer lesions than in normal tissues. (b) ITGB1 was also overexpressed in cancer lesions.

Immunohistochemical staining of integrin A3 (ITGA3) and integrin B1 (ITGB1) in clinical specimens of prostate cancer and normal prostate tissues. (a) ITGA3 was expressed more strongly in several cancer lesions than in normal tissues. (b) ITGB1 was also overexpressed in cancer lesions.

ITGA3 and ITGB1 were directly regulated by miR‐223

We then carried out qRT‐PCR and Western blotting to confirm that restoration of miR‐223 resulted in downregulation of ITGA3 and ITGB1 in PC3 and PC3M cells. The mRNA and protein expression levels of ITGA3 and ITGB1 were significantly repressed in miR‐223 transfectants compared with mock or miR‐control transfectants (PC3, P = 0.0051; PC3M, P = 0.0029; Fig. 3) (PC3, P = 0.0014; PC3M, P = 0.0017; Fig. 4).
Figure 3

Expression of the gene encoding integrin A3 () was suppressed by transfection of prostate cancer cell lines PC3 and PC3M with miR‐223. (a) mRNA expression was evaluated by quantitative RT‐PCR 72 h after transfection with miR‐223 (10 nM). was used as an internal control. *P < 0.01. (b) protein expression was evaluated by Western blotting 72 h after transfection with miR‐223 (10 nM). GAPDH was used as a loading control. (c) miR‐223 binding site in the 3′‐UTR of mRNA. (d) Luciferase reporter assays in PC3 cells using vectors encoding a putative miR‐223 target site at position 635–641 of 3′‐UTR. Renilla luciferase values were normalized to firefly luciferase values. *P < 0.0001.

Figure 4

Expression of the gene encoding integrin B1 () was suppressed by transfection of prostate cancer cell lines PC3 and PC3M with miR‐223. (a) mRNA expression was evaluated by quantitative RT‐PCR 72 h after transfection with miR‐223 (10 nM). was used as an internal control. *P < 0.005. (b) protein expression was evaluated by Western blotting 72 h after transfection with miR‐223 (10 nM). GAPDH was used as a loading control. (c) miR‐223 binding site in the 3′‐UTR of mRNA. (d) Luciferase reporter assays in PC3 cells using vectors encoding a putative miR‐223 target site at position 255–261 of the 3′‐UTR. Renilla luciferase values were normalized to firefly luciferase values. *P < 0.0001.

Expression of the gene encoding integrin A3 () was suppressed by transfection of prostate cancer cell lines PC3 and PC3M with miR‐223. (a) mRNA expression was evaluated by quantitative RT‐PCR 72 h after transfection with miR‐223 (10 nM). was used as an internal control. *P < 0.01. (b) protein expression was evaluated by Western blotting 72 h after transfection with miR‐223 (10 nM). GAPDH was used as a loading control. (c) miR‐223 binding site in the 3′‐UTR of mRNA. (d) Luciferase reporter assays in PC3 cells using vectors encoding a putative miR‐223 target site at position 635–641 of 3′‐UTR. Renilla luciferase values were normalized to firefly luciferase values. *P < 0.0001. Expression of the gene encoding integrin B1 () was suppressed by transfection of prostate cancer cell lines PC3 and PC3M with miR‐223. (a) mRNA expression was evaluated by quantitative RT‐PCR 72 h after transfection with miR‐223 (10 nM). was used as an internal control. *P < 0.005. (b) protein expression was evaluated by Western blotting 72 h after transfection with miR‐223 (10 nM). GAPDH was used as a loading control. (c) miR‐223 binding site in the 3′‐UTR of mRNA. (d) Luciferase reporter assays in PC3 cells using vectors encoding a putative miR‐223 target site at position 255–261 of the 3′‐UTR. Renilla luciferase values were normalized to firefly luciferase values. *P < 0.0001. We used luciferase reporter assays in PC3 cells to determine whether ITGA3 and ITGB1 mRNAs were directly regulated by miR‐223. The TargetScan database predicted that putative miR‐223‐binding sites existed in the 3′‐UTR of ITGA3 (position 635–641; Fig. 3c) and of ITGB1 (position 255–261; Fig. 4c). We used vectors encoding either the partial wild‐type sequence of the 3′‐UTR of ITGA3 or ITGB1 mRNA, including the predicted miR‐223 target sites, or deletion vectors lacking the miR‐223 target sites. We found that the luminescence intensities were significantly reduced by transfection with miR‐223 and vectors carrying the wild‐type 3′‐UTR of ITGA3 and ITGB1, whereas transfection with deletion vectors blocked the decrease in luminescence (P < 0.0001 and P < 0.0001, respectively; Figs. 3d,4d). These data suggested that miR‐223 bound directly to specific sites in the 3′‐UTRs of ITGA3 and ITGB1 mRNA.

Effects of silencing ITGA3 and ITGB1 on cell proliferation, migration, and invasion in PCa cells

To investigate the functional role of ITGA3 and ITGB1 in PCa cells, we carried out loss‐of‐function studies using siITGA3 and siITGB1 transfectants. First, we evaluated the knockdown efficiency of siITGA3 and siITGB1 transfection in PC3 cells. Quantitative RT‐PCR and Western blotting indicated that siITGA3 transfection effectively downregulated ITGA3 expression and that siITGB1 transfection effectively downregulated ITGB1 expression in PC3 cells (P < 0.0005 and P < 0.0001, respectively; Fig. 5a,b).
Figure 5

Expression levels of the genes encoding integrins A3 () and B1 () were suppressed by transfection of PC3 prostate cancer cells with si‐ and si‐. (a, b) and mRNA expression levels were evaluated by quantitative RT‐PCR 72 h after transfection with si‐ and si‐ (10 nM). was used as an internal control. *P < 0.0005. ITGA3 and ITGB1 expression levels were evaluated by Western blotting 72 h after transfection with si‐ and si‐ (10 nM). GAPDH was used as a loading control. (c–e) Effects of silencing on PC3 cells. (c) Cell proliferation was determined by XTT assays. (d) Cell migration activity was determined by wound‐healing assays. (e) Cell invasion activity was determined by Matrigel invasion assays. (f–h) Effects of silencing on PC3 cells. (f) Cell proliferation was determined by XTT assays. (g) Cell migration activity was determined by wound‐healing assays. (h) Cell invasion activity was determined by Matrigel invasion assays. *P < 0.0001.

Expression levels of the genes encoding integrins A3 () and B1 () were suppressed by transfection of PC3 prostate cancer cells with si‐ and si‐. (a, b) and mRNA expression levels were evaluated by quantitative RT‐PCR 72 h after transfection with si‐ and si‐ (10 nM). was used as an internal control. *P < 0.0005. ITGA3 and ITGB1 expression levels were evaluated by Western blotting 72 h after transfection with si‐ and si‐ (10 nM). GAPDH was used as a loading control. (c–e) Effects of silencing on PC3 cells. (c) Cell proliferation was determined by XTT assays. (d) Cell migration activity was determined by wound‐healing assays. (e) Cell invasion activity was determined by Matrigel invasion assays. (f–h) Effects of silencing on PC3 cells. (f) Cell proliferation was determined by XTT assays. (g) Cell migration activity was determined by wound‐healing assays. (h) Cell invasion activity was determined by Matrigel invasion assays. *P < 0.0001. In functional assays, cell proliferation, migration, and invasion assays indicated that cancer cell proliferation, migration, and invasion activity were significantly inhibited in siITGA3‐transfected PC3 cells in comparison with mock‐ or si‐control‐transfected PC3 cells (P < 0.0001, P < 0.0001, and P < 0.0001, respectively; Fig. 5c–e). Similarly, transfection with siITGB1 significantly inhibited cancer cell proliferation, migration, and invasion (P < 0.0001, P < 0.0001, and P < 0.0001, respectively; Fig. 5f–h). We also evaluated the knockdown efficiency of siITGA3 and siITGB1 transfection in PC3M cells. Cancer cell proliferation, migration, and invasion activity were significantly inhibited in siITGA3‐ and siITGB1‐transfected cells in comparison with mock‐ or si‐control‐transfected cells (Fig. S2).

Effects of cotransfection of ITGA3/miR‐223 or ITGB1/miR‐223 in PC3 cell line

To confirm that ITGA3/miR‐223 or ITGB1/miR‐223 mediated the antitumor effect in PCa cells, we co‐expressed ITGA3 and miR‐223 or ITGB1 and miR‐223 in PCa cells. ITGA3 or ITGB1 rescue studies indicated that cell migration and invasion properties were rescued by ITGA3 or ITGB1 transfectants compared with cells with restored miR‐223 only (Fig. S3). These data suggested that the role of ITGA3 or ITGB1 protein was modulated by miR‐223 and the effects of migration and invasion in PCa cells.

Effects of ITGB1 knockdown on ITGB1 downstream signaling

We analyzed the effects of ITGA3/ITGB1 knockdown on downstream signaling in PC3 cells using siITGA3 and siITGB1 transfectants. To examine the effects of knockdown on ITGB1‐mediated survival pathways, the phosphorylation of FAK (Tyr 397), SRC (Tyr 416), AKT (Ser 473), and ERK1/2 (Thr 202/Tyr 204) was examined. Knockdown of ITGB1 greatly reduced the phosphorylation of FAK, SRC, AKT, and ERK1/2 (Fig. 6). In contrast to knockdown of ITGB1, knockdown of ITGA3 did not cause changes in the phosphorylation levels of these proteins (data not shown).
Figure 6

Effects of the knockdown of the gene encoding integrin B1 () on ITGB1 downstream signaling. Knockdown of in PC3 cells reduced the phosphorylation of FAK (Tyr 397), SRC (Tyr 416), AKT (Ser 473), and ERK1/2 (Thr 202/Tyr 204).

Effects of the knockdown of the gene encoding integrin B1 () on ITGB1 downstream signaling. Knockdown of in PC3 cells reduced the phosphorylation of FAK (Tyr 397), SRC (Tyr 416), AKT (Ser 473), and ERK1/2 (Thr 202/Tyr 204).

Discussion

A growing body of evidence has indicated that normal RNA regulatory mechanisms can be disrupted by the aberrant expression of tumor‐suppressive or oncogenic miRNAs in cancer cells. Therefore, identification of aberrantly expressed miRNAs is an important first step toward elucidating novel miRNA regulatory networks in PCa cells. Based on this, we constructed the miRNA expression signatures of PCa and CRPC using clinical specimens and identified tumor‐suppressive miRNAs regulating novel oncogenic pathways.5, 6, 7, 8, 9, 10, 11, 12 Castration‐resistant PCa is difficult to treat using currently available therapies, and most clinical trials for advanced PCa have shown limited benefits, with disease progression and metastasis to the bone or other sites.3 Thus, understanding the molecular mechanisms of the metastatic signaling pathways underlying PCa using current genomic approaches would help to improve therapies for and prevention of the disease. Our miRNA signatures in PCa revealed that miR‐223 was significantly downregulated in naïve PCa and CRPC tissues. In the present study, we validated the downregulation of miR‐223 in PCa clinical specimens. Additionally, we focused on miR‐223 and investigated the functional roles of miR‐223 and miR‐223‐regulated novel oncogenic pathways in PCa. In this study, we evaluated the low expression of miR‐223 and the effects of miR‐223 regulation on metastatic signaling pathways in PC3 and PC3M cells, two representative PCa cell lines. PC3M cells were derived from a liver metastasis in a nude mouse bearing a spleen explant of PC3 cells; these cells have increased metastatic ability compared with PC3 cells.20, 21 Restoration of miR‐223 significantly inhibited cancer cell migration and invasion in both PC3 and PC3M cells, suggesting that miR‐223 acts as a tumor‐suppressive miRNA in PCa cells. The tumor‐suppressive function of miR‐223 has been reported in various other types of cancers and is thought to occur through regulation of several oncogenic genes.22, 23 Previous reports have shown that IGF‐1R is directly regulated by miR‐223 and that restoration of miR‐223 inhibits cell proliferation through suppression of downstream phosphoinositol 3‐kinase/AKT/mammalian target of rapamycin pathways.24, 25 Moreover, overexpression of miR‐223 suppresses cell proliferation in colorectal cancer, cervical cancer, and hepatoma cells by targeting forkhead box transcriptional factor 1.26 These findings indicate that miR‐223 is downregulated in cancer cells and functions as a tumor‐suppressive miRNA by targeting oncogenic genes. In contrast to our data, a recent report showed that expression of miR‐223 is upregulated in PCa tissues and cell lines, including LNCaP, DU145, and PC3 cells.27 Moreover, knockdown of miR‐223 using antisense oligonucleotides leads to G0/G1 arrest and induces apoptosis in LNCaP, DU145, and PC3 cells.27 Another study showed that overexpression of miR‐223 in primary gastric carcinoma is associated with poor metastasis‐free survival.28 Interestingly, overexpression of miR‐223 has been shown to result in acquisition of invasive ability in non‐metastatic gastric cancer cells.28 Thus, these studies of miR‐223 indicate that this miRNA has opposing roles as a tumor suppressor or oncogene in different types of cancer cells. Therefore, it is necessary to investigate the molecular targets and RNA networks regulated by miR‐223 in different types of cancers. Our recent data of CRPC miRNA expression signatures showed that miR‐223 was significantly reduced in CRPC specimens.29 Downregulation of miR‐223 in PCa specimens has been reported by another group based on deep sequencing analysis.12 These data strongly suggest that miR‐223 is frequently reduced in PCa tissues and acts as a tumor suppressor. Recent bioinformatic predictions have indicated that miRNAs regulate more than 30–60% of protein‐coding genes in the human genome.30, 31 Improving our understanding of miR‐223‐mediated targets and signaling pathways in PCa may provide important insights into the mechanisms of PCa metastasis. We used a combination of genome‐wide gene expression analysis and in silico analysis to identify novel molecular targets and pathways regulated by tumor‐suppressive miRNAs in cancer cells.4, 5, 6, 7, 8, 9, 10, 11 Using this strategy, we identified several pathways and targets regulated by miR‐223 in PCa cells. Among them, we further investigated the ITGA3 and ITGB1 genes, which are involved in focal adhesion and ECM receptor interaction according to KEGG pathway analysis. Integrins are a large family of cell surface receptors composed of specific two subunits (α and β) that bind to ECM components. Most types of cells require integrin‐mediated signaling pathways for proliferation, migration, invasion, and survival.14, 15 ITGA3 and ITGB1 are components of a specific subset of integrins and are expressed PCa cells.14, 15, 32, 33, 34 In this study, we confirmed the upregulation of ITGA3 and ITGB1 in PCa clinical specimens. We showed that ITGA3 and ITGB1 were directly regulated by miR‐223 and that silencing of ITGA3 or ITGB1 significantly inhibited cancer cell migration and invasion in PC3 and PC3M cells. Moreover, our present data showed that knockdown of ITGB1 inhibited downstream signals contributing to cell adhesion and invasion. Overexpression of ITGB1 has been observed in several cancer types in previous studies.35, 36 Additionally, a recent study showed that ITGB1 is activated in highly metastatic PCa cells, but not in PCa cells with low metastatic potential or normal prostate epithelial cells.37 Both ECM ligands and Talin‐1 have been shown to induce the activation of ITGB1 in cancer cells.37, 38 Interestingly, our recent studies showed that tumor‐suppressive miR‐29s and miR‐218 are frequently downregulated in cancer cells, including PCa cells, and cause upregulation of ECM components.9, 17, 39 Moreover, expression of Talin‐1 is increased in metastatic tissues compared with that in primary prostate tumors.40 Thus, these studies indicate that aberrant expression of miRNAs disrupts tightly regulated integrin‐mediated signaling in the prostate and promotes cancer cell migration and invasion. In conclusion, downregulation of miR‐223 was validated in PCa clinical specimens, and these miRNAs were shown to function as tumor suppressors in PCa. To the best of our knowledge, this is the first report showing that tumor‐suppressive miR‐223 directly targeted ITGA3 and ITGB1 in PCa cells. Moreover, these integrins were upregulated in PCa clinical specimens and contributed to cancer cell migration and invasion. Metastatic progression of PCa significantly impacts the survival of men with prostate cancer. Suppression of ITGA3/ITGB1 signaling in PCa cells may have applications in the development of novel therapies for PCa.

Disclosure Statement

The authors have no conflicts of interest. Fig. S1. Strategy for selecting target pathways regulated by miR‐223 in prostate cancer cells. Click here for additional data file. Fig. S2. Effects of ITGA3 and ITGB1 silencing on PC3M prostate cancer cells. Click here for additional data file. Fig. S3. Effects of cotransfection of ITGA3/miR‐223 or ITGB1/miR‐223 in PC3 prostate cancer cell line. Click here for additional data file. Fig. S4. Immunohistochemical staining of integrin A3 (ITGA3) or integrin B1 (ITGB1) in prostate cancer by tissue microarray. Click here for additional data file. Table S1. Clinical characteristics and immunohistochemistry scores of integrins A3 and B1 (ITGA3/ITGB1) in tissue microarray. Click here for additional data file.
  41 in total

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Journal:  CA Cancer J Clin       Date:  2015-01-05       Impact factor: 508.702

2.  Restoration of miR-145 expression suppresses cell proliferation, migration and invasion in prostate cancer by targeting FSCN1.

Authors:  Miki Fuse; Nijiro Nohata; Satoko Kojima; Shinichi Sakamoto; Takeshi Chiyomaru; Kazumori Kawakami; Hideki Enokida; Masayuki Nakagawa; Yukio Naya; Tomohiko Ichikawa; Naohiko Seki
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Review 3.  Laminin-induced signaling in tumor cells.

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Journal:  Cancer Lett       Date:  2005-06-01       Impact factor: 8.679

4.  Most mammalian mRNAs are conserved targets of microRNAs.

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Authors:  J M Kozlowski; I J Fidler; D Campbell; Z L Xu; M E Kaighn; I R Hart
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Journal:  Cancer Sci       Date:  2014-06-18       Impact factor: 6.716

10.  Tumor-suppressive microRNA-223 inhibits cancer cell migration and invasion by targeting ITGA3/ITGB1 signaling in prostate cancer.

Authors:  Akira Kurozumi; Yusuke Goto; Ryosuke Matsushita; Ichiro Fukumoto; Mayuko Kato; Rika Nishikawa; Shinichi Sakamoto; Hideki Enokida; Masayuki Nakagawa; Tomohiko Ichikawa; Naohiko Seki
Journal:  Cancer Sci       Date:  2015-12-05       Impact factor: 6.716

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1.  Evaluation of the mRNA expression levels of integrins α3, α5, β1 and β6 as tumor biomarkers of oral squamous cell carcinoma.

Authors:  Hsueh-Wei Chang; Ching-Yu Yen; Chung-Ho Chen; Jun-Hsu Tsai; Jen-Yang Tang; Yung-Ting Chang; Yu-Hsun Kao; Yen-Yun Wang; Shyng-Shiou F Yuan; Sheng-Yang Lee
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2.  Dual-receptor (EGFR and c-MET) inhibition by tumor-suppressive miR-1 and miR-206 in head and neck squamous cell carcinoma.

Authors:  Keiichi Koshizuka; Toyoyuki Hanazawa; Ichiro Fukumoto; Naoko Kikkawa; Ryosuke Matsushita; Hiroko Mataki; Keiko Mizuno; Yoshitaka Okamoto; Naohiko Seki
Journal:  J Hum Genet       Date:  2016-05-12       Impact factor: 3.172

3.  Regulation of metastasis-promoting LOXL2 gene expression by antitumor microRNAs in prostate cancer.

Authors:  Mayuko Kato; Akira Kurozumi; Yusuke Goto; Ryosuke Matsushita; Atsushi Okato; Rika Nishikawa; Ichiro Fukumoto; Keiichi Koshizuka; Tomohiko Ichikawa; Naohiko Seki
Journal:  J Hum Genet       Date:  2016-06-09       Impact factor: 3.172

4.  [Role of miRNA-340 in modulating gastric cancer cell proliferation and bioinformatic analysis].

Authors:  Jian Wang; Wenjing Chen; Huijuan Lin; Jiangyu Zhang
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2019-07-30

Review 5.  The microRNA signatures: aberrantly expressed microRNAs in head and neck squamous cell carcinoma.

Authors:  Keiichi Koshizuka; Toyoyuki Hanazawa; Ichiro Fukumoto; Naoko Kikkawa; Yoshitaka Okamoto; Naohiko Seki
Journal:  J Hum Genet       Date:  2016-08-25       Impact factor: 3.172

6.  MiR-133a-5p inhibits androgen receptor (AR)-induced proliferation in prostate cancer cells via targeting FUsed in Sarcoma (FUS) and AR.

Authors:  Long Zheng; Ye Kang; Lei Zhang; Wen Zou
Journal:  Cancer Biol Ther       Date:  2019-11-17       Impact factor: 4.742

7.  LMO1 Synergizes with MYCN to Promote Neuroblastoma Initiation and Metastasis.

Authors:  Shizhen Zhu; Xiaoling Zhang; Nina Weichert-Leahey; Zhiwei Dong; Cheng Zhang; Gonzalo Lopez; Ting Tao; Shuning He; Andrew C Wood; Derek Oldridge; Choong Yong Ung; Janine H van Ree; Amish Khan; Brittany M Salazar; Edroaldo Lummertz da Rocha; Mark W Zimmerman; Feng Guo; Hong Cao; Xiaonan Hou; S John Weroha; Antonio R Perez-Atayde; Donna S Neuberg; Alexander Meves; Mark A McNiven; Jan M van Deursen; Hu Li; John M Maris; A Thomas Look
Journal:  Cancer Cell       Date:  2017-08-31       Impact factor: 31.743

8.  Dual strands of the miR-223 duplex (miR-223-5p and miR-223-3p) inhibit cancer cell aggressiveness: targeted genes are involved in bladder cancer pathogenesis.

Authors:  Sho Sugawara; Yasutaka Yamada; Takayuki Arai; Atsushi Okato; Tetsuya Idichi; Mayuko Kato; Keiichi Koshizuka; Tomohiko Ichikawa; Naohiko Seki
Journal:  J Hum Genet       Date:  2018-03-14       Impact factor: 3.172

Review 9.  Dissecting the role of microRNAs in prostate cancer metastasis: implications for the design of novel therapeutic approaches.

Authors:  Valentina Doldi; Marzia Pennati; Barbara Forte; Paolo Gandellini; Nadia Zaffaroni
Journal:  Cell Mol Life Sci       Date:  2016-03-12       Impact factor: 9.261

10.  EWSR1 overexpression is a pro-oncogenic event in multiple myeloma.

Authors:  Daichi Nishiyama; Yoshiaki Chinen; Reiko Isa; Yuto Fujibayashi; Saeko Kuwahara-Ota; Junko Yamaguchi; Tomoko Takimoto-Shimomura; Yayoi Matsumura-Kimoto; Taku Tsukamoto; Yuji Shimura; Tsutomu Kobayashi; Shigeo Horiike; Masafumi Taniwaki; Hiroshi Handa; Junya Kuroda
Journal:  Int J Hematol       Date:  2020-10-23       Impact factor: 2.490

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