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Molecular Mechanisms Regulating the Phenotype of Tumor Initiating Cells of Osteosarcoma 1,3 Fujiwara T; 1 Kosaka N; 1 Takahashi R; 1 Takeshita F; 2 Kawai A; 3 Ozaki T; + 1 Ochiya T + 1 Division of Molecular and Cellular Medicine, National Cancer Center Research Institute, Tokyo, 2 Department of Musculoskeletal Tumor Surgery, National Cancer Center Hospital, Tokyo, 3 Department of Orthopedic Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama [email protected] INTRODUCTION: There are growing evidences that tumors contain a subset of cells with stem like properties. These cells are referred as “cancer stem cells (CSCs)” or “tumor initiating cells (TICs)” that are responsible for forming the bulk of tumor 1) . These cells possess both self renewal and differentiation capabilities and are believed to give rise to tumor heterogeneity 2) . Furthermore, they have been shown to be associated with the most lethal characteristics of tumors—drug resistance and metastasis 2)3) . Osteosarcoma is the most common primary bone malignancy and accounts for 60% of all malignant childhood bone tumors. Despite intensive efforts to improve both surgical and medical management, the long-term survival has not improved over the last 30 years 4) . There is a great need for developing new osteosarcoma treatments. Since the proposal of the cancer stem cell hypothesis, several studies have been performed to identify cancer stem cells of osteosarcoma 5) . These cells have been detected in spherical clones under anchorage- independent, serum-starved culture conditions, as side population (SP) cells based on efflux of Hoechst 33342 dye or as CD117 and stro-1 cells sorted using cell surface marker 6) . To date, however, the molecular mechanisms underlying the phenotype of CSCs remain obscure. In this study, we aimed to detect a subset of cells showing the phenotype of cancer stem cells and to analyze the molecular mechanisms including microRNAs which have enormous possibilities as new hopes for diagnostic and therapeutic strategy against osteosarcoma. METHODS: Cells and cell culture: Institutional Review Board Approval was obtained before all experimental studies. The human osteosarcoma cell lines SaOS2, U2OS, MG63, HOS, MNNG/HOS, 143B were purchased from the American Tissue Culture Collection. Flow cytometric analysis: Cell sorting by flow cytometry was performed on a JSAN cell sorter (Baybioscience) using PE-conjugated monoclonal mouse anti-human CD133/2 (Miltenyi Biotec), and APC- conjugated monoclonal mouse anti-human CD44 (BioLegend). Spheroid formation assay: 5,000cells/well were cultured in serum- free DMEM/F12 medium, supplemented with EGF, bFGF, insulin, B27, penicillin and streptomycin in ultra-low-attachment 24-well plates. Invasion assay: Cells were seeded at 100,000cells/well on BD Bio Coat Matrigel Invasion chambers (BD Biosciences). After incubation for 24 h at 37°C, cells that passed through the filters into the lower wells were fixed, stained with Hema-3, counted and photographed. RT-PCR and quantitative real-time PCR: Total RNA was isolated with QIAzol (QIAgen). cDNA was synthesized using the High Capacity cDNA Reverse Transcription Kit (Applied Biosystems). For each qPCR reaction, equal amounts of cDNA were mixed with Power SYBR Green PCR master mix and following primers: CD133, Oct3/4, Nanog, ABCB1, ABCG2, MMP13 and CXCR4. β-actin was amplified as an internal control. MiRNA Profiling: MiRNA microarrays were manufactured by Agilent Technologies. Labeling and hybridization of total RNA samples were performed according to the manufacturer's protocol. Transfection with synthetic miRNAs: Synthetic hsa-miRNAs and miRNA control were transfected into cell lines using DharmaFECT (GE Healthcare). Statistical analyses: Statistical analyses were conducted using the Student’s t-test. P-value of 0.05 or less was considered to indicate a significant difference. RESULTS: Osteosarcoma cell lines contained a rare population of CD133 high cells showing cancer stem-like phenotype: All cell lines contained small fraction of CD133 high cells and large fraction of CD44 high cells. SaOS2 and HOS had relatively large fraction of CD133 high cells among these cell lines. CD133 high fraction showed asymmetric devision, more potential to form spheroid colony formation in the anchorage- independent environment (1AB), more invasive potential (1CD). CD133 high cells showed higher tumorigenicity in vivo. CD133high cells showed high expression of several marker genes: CD133 high fraction showed higher expression of Oct4, Nanog (associated with stemness), ABCB1, ABCG2 (associated with drug resistance), MMP13 and CXCR4 (associated with metastasis) than CD133 low fraction (Figure 2). Several microRNAs were up-regulated in CD133 high cells and altered the phenotype of CD133 low cells synergically: Microarray analysis identified several miRNAs were up-regulated in CD133 high cells compared to CD133 low cells. These miRNAs promoted chemoresistance and matrigel invasion of SaOS2 (Figure 3) and MNNG/HOS CD133 low cells. Interestingly, the combination of these miRNAs highly promoted matrigel invasion. Moreover, the exposure of 143B cells to doxorubicin (DOX) increased the expression of CD133 (4A) and related miRNAs (4B). DISCUSSION: The present study demonstrated that osteosarcoma contained a small population of CD133 high cells showing TIC-like phenotype. Moreover, several microRNAs revealed to act as regulators of the phenotype in light of asymmetric division, chemoresistance, and invasiveness. In addition, chemotherapeutics might induce the phenotype of cellular signaling pathways involved in the phenotype. Our results, with the analysis of the target of the miRNAs, not only will allow for better understanding of this specific population of cells but also will provide insight into the gradual improvement of more effective therapies against osteosarcoma. SIGNIFICANCE: Our results demonstrated that several microRNAs regulated the phenotype of tumor initiating cells of osteosarcoma. This study would contribute to achieve a new clinical technique through a perspective of RNA interference. REFERENCES: 1) Clarke MF, Dick JE, et al. Cancer Res. 2006; 66: 9339-44. 2) Visvader JE, Lindeman GJ, et al. Nat Rev Cancer. 2008; 8: 755-68. 3) Liu C, Kelnar K, et.al Nat Med. 2011; 17: 211-5. 4) Bielack SS, Kempf-Bielack B, et al. J Clin Oncol 2002; 20: 776–90. 5) Siclari VA, Qin L, et al. J Orthop Surg Res. 2010; 27; 5: 78. 6) Adhikari AS, Agarwal N, et al. Cancer Res. 2010; 70: 4602-12. Poster No. 1469 ORS 2012 Annual Meeting

Molecular Mechanisms Regulating the Phenotype of Tumor … · 2017. 1. 30. · mechanisms underlying the phenotype of CSCs remain obscure. In this study, we aimed to detect a subset

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  • Molecular Mechanisms Regulating the Phenotype of Tumor Initiating Cells of Osteosarcoma 1,3Fujiwara T; 1Kosaka N; 1Takahashi R; 1Takeshita F; 2Kawai A; 3Ozaki T; +1Ochiya T

    +1 Division of Molecular and Cellular Medicine, National Cancer Center Research Institute, Tokyo, 2 Department of Musculoskeletal Tumor Surgery, National Cancer Center Hospital, Tokyo,

    3 Department of Orthopedic Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama [email protected]

    INTRODUCTION:

    There are growing evidences that tumors contain a subset of cells with stem like properties. These cells are referred as “cancer stem cells (CSCs)” or “tumor initiating cells (TICs)” that are responsible for forming the bulk of tumor1). These cells possess both self renewal and differentiation capabilities and are believed to give rise to tumor heterogeneity2). Furthermore, they have been shown to be associated with the most lethal characteristics of tumors—drug resistance and metastasis2)3).

    Osteosarcoma is the most common primary bone malignancy and accounts for 60% of all malignant childhood bone tumors. Despite intensive efforts to improve both surgical and medical management, the long-term survival has not improved over the last 30 years4). There is a great need for developing new osteosarcoma treatments.

    Since the proposal of the cancer stem cell hypothesis, several studies have been performed to identify cancer stem cells of osteosarcoma5). These cells have been detected in spherical clones under anchorage-independent, serum-starved culture conditions, as side population (SP) cells based on efflux of Hoechst 33342 dye or as CD117 and stro-1 cells sorted using cell surface marker6). To date, however, the molecular mechanisms underlying the phenotype of CSCs remain obscure. In this study, we aimed to detect a subset of cells showing the phenotype of cancer stem cells and to analyze the molecular mechanisms including microRNAs which have enormous possibilities as new hopes for diagnostic and therapeutic strategy against osteosarcoma. METHODS: Cells and cell culture: Institutional Review Board Approval was obtained before all experimental studies. The human osteosarcoma cell lines SaOS2, U2OS, MG63, HOS, MNNG/HOS, 143B were purchased from the American Tissue Culture Collection.

    Flow cytometric analysis: Cell sorting by flow cytometry was performed on a JSAN cell sorter (Baybioscience) using PE-conjugated monoclonal mouse anti-human CD133/2 (Miltenyi Biotec), and APC-conjugated monoclonal mouse anti-human CD44 (BioLegend). Spheroid formation assay: 5,000cells/well were cultured in serum-free DMEM/F12 medium, supplemented with EGF, bFGF, insulin, B27, penicillin and streptomycin in ultra-low-attachment 24-well plates. Invasion assay: Cells were seeded at 100,000cells/well on BD Bio Coat Matrigel Invasion chambers (BD Biosciences). After incubation for 24 h at 37°C, cells that passed through the filters into the lower wells were fixed, stained with Hema-3, counted and photographed.

    RT-PCR and quantitative real-time PCR: Total RNA was isolated with QIAzol (QIAgen). cDNA was synthesized using the High Capacity cDNA Reverse Transcription Kit (Applied Biosystems). For each qPCR reaction, equal amounts of cDNA were mixed with Power SYBR Green PCR master mix and following primers: CD133, Oct3/4, Nanog, ABCB1, ABCG2, MMP13 and CXCR4. β-actin was amplified as an internal control.

    MiRNA Profiling: MiRNA microarrays were manufactured by Agilent Technologies. Labeling and hybridization of total RNA samples were performed according to the manufacturer's protocol.

    Transfection with synthetic miRNAs: Synthetic hsa-miRNAs and miRNA control were transfected into cell lines using DharmaFECT (GE Healthcare).

    Statistical analyses: Statistical analyses were conducted using the Student’s t-test. P-value of 0.05 or less was considered to indicate a significant difference.

    RESULTS:

    Osteosarcoma cell lines contained a rare population of CD133high cells showing cancer stem-like phenotype: All cell lines contained small fraction of CD133high cells and large fraction of CD44high cells. SaOS2 and HOS had relatively large fraction of CD133high cells among these cell lines. CD133 high fraction showed asymmetric devision, more potential to form spheroid colony formation in the anchorage-

    independent environment (1AB), more invasive potential (1CD). CD133high cells showed higher tumorigenicity in vivo.

    CD133high cells showed high expression of several marker genes:

    CD133high fraction showed higher expression of Oct4, Nanog (associated with stemness), ABCB1, ABCG2 (associated with drug resistance), MMP13 and CXCR4 (associated with metastasis) than CD133low fraction (Figure 2). Several microRNAs were up-regulated in CD133high cells and altered the phenotype of CD133low cells synergically: Microarray analysis identified several miRNAs were up-regulated in CD133high cells compared to CD133low cells. These miRNAs promoted chemoresistance and matrigel invasion of SaOS2 (Figure 3) and MNNG/HOS CD133low cells. Interestingly, the combination of these miRNAs highly promoted matrigel invasion. Moreover, the exposure of 143B cells to doxorubicin (DOX) increased the expression of CD133 (4A) and related miRNAs (4B). DISCUSSION:

    The present study demonstrated that osteosarcoma contained a small population of CD133high cells showing TIC-like phenotype. Moreover, several microRNAs revealed to act as regulators of the phenotype in light of asymmetric division, chemoresistance, and invasiveness. In addition, chemotherapeutics might induce the phenotype of cellular signaling pathways involved in the phenotype. Our results, with the analysis of the target of the miRNAs, not only will allow for better understanding of this specific population of cells but also will provide insight into the gradual improvement of more effective therapies against osteosarcoma. SIGNIFICANCE:

    Our results demonstrated that several microRNAs regulated the phenotype of tumor initiating cells of osteosarcoma. This study would contribute to achieve a new clinical technique through a perspective of RNA interference. REFERENCES: 1) Clarke MF, Dick JE, et al. Cancer Res. 2006; 66: 9339-44. 2) Visvader JE, Lindeman GJ, et al. Nat Rev Cancer. 2008; 8: 755-68. 3) Liu C, Kelnar K, et.al Nat Med. 2011; 17: 211-5. 4) Bielack SS, Kempf-Bielack B, et al. J Clin Oncol 2002; 20: 776–90. 5) Siclari VA, Qin L, et al. J Orthop Surg Res. 2010; 27; 5: 78. 6) Adhikari AS, Agarwal N, et al. Cancer Res. 2010; 70: 4602-12.

    Poster No. 1469 • ORS 2012 Annual Meeting

    Main MenuSearchProgramAuthor IndexKeyword IndexCopyrightSession Number 001: Stem Cells and ProgenitorsSession Number 002: Tendon and Ligament: Biology & DevelopmentSession Number 003: Molecular Influences on Cartilage BiomechanicsSession Number 004: Inflammation in Osteoarthritis and Immune-Medicated ArthritisSession Number 005: Cell and Molecular Biomechanics: OsteocytesSession Number 006: Intervertebral Disc: Stem Cells & Cell LineSession Number 007: Tendon and Ligament: RegenerationSession Number 008: Cell and Molecular Biomechanics: Physical EffectsSession Number 009: Experimental Osteoarthritis Models: Lubrication and PainSession Number 010: Fracture Healing - QualitySpotlight Session 011: SpineSpotlight Session 012: ACL ReconstructionSpotlight Session 013: Non-Coding RNA and Posttranscriptional Regulation in OASpotlight Session 014: Tissue Reactions to WearSpotlight Session 015: OsteoporosisSession Number 016: Intervertebral DiscSession Number 017: ACL Injury MechanicsSession Number 018: Cartilage and Meniscus RepairSession Number 019: Cell SignalingSession Number 020: Bone - AgingSession Number 021: Bone and Spine BiomechanicsSession Number 022: Tendon BiomechanicsSession Number 023: Bone MechanicsSession Number 024: Cartilage Degradation Biomarkers and ImagingSession Number 025: Fracture Healing ModulationSpotlight Session 026: Current Trends in Joint ReplacementSpotlight Session 027: Tendon and Ligament: Translational ResearchSpotlight Session 028: microRNASpotlight Session 029: Regenerative Approaches for OsteoarthritisSpotlight Session 030: Muscle/BoneSession Number 031: Hip and Femoroacetabular ImpingementSession Number 032: Knee and Hip Finite Element ModalitySession Number 033: The Post-Traumatic Joint Experimental ModelsSession Number 034: Muscle and NerveSession Number 035: Tissue Engineering I: Cartilage and BoneSession Number 036: Biomaterials Stem Cells and Growth FactorsSession Number 037: MeniscusSession Number 038: Osteolysis and Implant FixationSession Number 039: Tissue Engineering II: TendonSession Number 040: Polymeric and Nano-BiomaterialsSession Number 041: Foot and AnkleSession Number 042: Growth Factors and Bone FixationSession Number 043: Knee, ACL, Patello-Femoral JointSession Number 044: Tumors and DiseasesSession Number 045: Orthopaedic InfectionSession Number 046: Cartilage MechanicsSession Number 047: ShoulderSession Number 048: SpineSession Number 049: New Polyethylene Implant WearSession Number 050: Knee ArthroplastyNIRA 1: Cartilage and SpineNIRA 2: Soft TissueNIRA 3: Cartilage Biology and OsteoarthritisNIRA 4: Fracture RepairNIRA 5: BonePS1 Bone MechanicsPS1 Skeletal Growth and Development - Developmenal BiologyPS1 Cell and Molecular Biomechanics - Physical Effects on CellsPS1 Bone FracturePS1 Fracture FixationPS1 ImagingPS1 Cancer/TumorsPS1 Bone BiologyPS1 Bone - Growth FactorsPS1 Bone - Osteoporosis & Metabolic Bone DiseasePS1 Progenitors & Stem CellsPS1 Biomaterials - BioactivePS1 Tissue Engineering - Soft TissuePS1 Cartilage/Meniscus/Synovium - Genetics/GenomicsPS1 Cartilage/Meniscus/Synovium - Cartilage & Matrix ProteinsPS1 Cartilage/Meniscus/Synovium - Cartilage Matrix DegradationPS1 Cartilage/Meniscus/Synovium - CytokinesPS1 Cartilage/Meniscus/Synovium - Growth Factors & AgingPS1 Cartilage/Meniscus/Synovium - Cartilage RepairPS1 Cartilage/Meniscus/Synovium - Cartilage Repair - Cell Based ApproachesPS1 Cartilage/Meniscus/Synovium - MeniscusPS1 Cell & Molecular Imaging of CartilagePS1 Cartilage/Meniscus/Synovium - OsteoarthritisPS1 Cartilage/Meniscus/Synovium - Cartilage MechanicsPS1 Cartilage/Meniscus/Synovium - MechanobiologyPS1 Disease Process Knee - Joint MechanicsPS1 Disease Process HipPS1 Gait & KinematicsPS1 Foot & AnklePS1 Infection & InflammationPS1 TraumaPS1 Total Hip Replacement - GeneralPS1 Total Knee Replacement - General/WearPS1 Arthroplasty - Osteolysis Wear DebrisPS1 Arthroplasty - Implant FixationPS1 Total Knee Replacement - KinematicsPS1 Arthroplasty - Finite Element Analysis/HipPS1 Polyethylene Wear - UHMWPEPS1 Arthroplasty - Finite Element Analysis - KneePS1 Total Hip Replacement - ImplantPS1 Implant - Uni-Knee ReplacementPS1 Hip/Knee Arthroplasty - Surgical Navigation & RoboticsPS1 Implant Wear - Vitamin E PolyethylenePS1 Implant Wear - Metal on Metal & Ceramic BearingsPS1 SpinePS1 Spine BiomechanicsPS1 Spine - Intervertebral Disc BiomechanicsPS1 Spine - Intervertebral Disc BiologyPS1 Spinal TherapeuticsPS1 Upper Extremity - Shoulder & ElbowPS1 Upper Extremity - Hand & WristPS1 Muscle/NervePS1 Ligament & Tendon MechanicsPS1 Ligament & Tendon BiologyPS2 Bone MechanicsPS2 PublicationsPS2 Cell & Molecular Biomechanics - Physical Effects on CellsPS2 Bone FracturePS2 Fracture FixationPS2 ImagingPS2 Cancer/TumorsPS2 Bone BiologyPS2 Bone - Growth FactorsPS2 Bone - OsteoporosisPS2 Progenitors and Stem CellsPS2 Biomaterials - BioactivePS2 Tissue Engineering - Soft TissuePS2 Cartilage/Meniscus/Synovium - Gene TherapyPS2 Cartilage/Meniscus/Synovium - Cartilage & Matrix ProteinsPS2 Cartilage/Meniscus/Synovium - Immune-Mediated ArthritisPS2 Cartilage/Meniscus/Synovium - Cartilage Matrix DegradationPS2 Cartilage/Meniscus/Synovium - CytokinesPS2 Cartilage/Meniscus/Synovium - Growth Factors & AgingPS2 Cartilage/Meniscus/Synovium - Cartilage RepairPS2 Cartilage/Meniscus/Synovium - Cartilage Repair - Cell-Based ApproachesPS2 Cartilage/Meniscus/Synovium - MeniscusPS2 Cartilage/Meniscus/Synovium - Cell and Molecular Imaging of CartilagePS2 Cartilage/Meniscus/Synovium - OsteoarthritisPS2 Cartilage/Meniscus/Synovium - Cartilage MechanicsPS2 Cartilage/Meniscus/Synovium - MechanobiologyPS2 Disease Process Knee - Joint MechanicsPS2 Disease Process HipPS2 Gait and Kinematics, KinesiologyPS2 Foot and AnklePS2 Infection and InflammationPS2 Total Hip Replacement - Resurfacing and Metal on MetalPS2 Total Knee Reconstruction - General/WearPS2 Arthroplasty - Osteolysis Wear DebrisPS2 Arthroplasty - Implant FixationPS2 Total Knee Replacement - KinematicsPS2 Arthroplasty - Finite Element Analysis - HipPS2 Polyethylene Wear - UHMWPEPS2 Arthroplasty - Finite Element Anlysis KneePS2 Total Hip Replacement ImplantPS2 Implant - Uni-Knee ReplacementPS2 Arthroplasty Hip & Knee - Surgical Navigation and RoboticsPS2 Implant Wear - Vitamin E PolyethylenePS2 Implant Wear - Metal on Metal and Ceramic BearingsPS2 SpinePS2 Spine BiomechanicsPS2 Spine - Intervertebral Disc BiomechanicsPS2 Spine - Intervertebral Disc BiologyPS2 Spine - Spinal TherapeuticsPS2 Upper Extremity - Shoulder and ElbowPS2 Upper Extremity - Hand and WristPS2 MusclePS2 Ligament and Tendon MechanicsPS2 Ligament and Tendon Biology

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