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      The P2RX7B splice variant modulates osteosarcoma cell behaviour and metastatic properties

      research-article
      a , a , a , b , a , c , a , c , d , c , e , f , e , a , a , *
      Journal of Bone Oncology
      Elsevier
      ATP, Adenosine Triphosphate, BzATP, Benzoyl ATP, DE, Differentially Expressed, ECM, Extracellular Matrix, EMT, Epithelial–mesenchymal transition, FDR, False Discovery Rate, HBSS, Hanks Balanced Salt Solution, LOX, Lysyl Oxidase, MMPs, Matrix Metalloproteinases, OS, Osteosarcoma, PE, Paired End, qRT-PCR, Quantitative Reverse Transcription Polymerase Chain Reaction, ATP, Bone cancer, Osteosarcoma, P2RX7B, Purinergic signalling

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Highlights

          • P2RX7B expression confers a survival advantage in TE85+P2RX7B and MNNG-HOS+P2RX7B OS cell lines.

          • P2RX7B expression reduced cell adhesion and activation promoted invasion and migration  in vitro.

          • MNNG-HOS+P2RX7B tumours  in vivo exhibited ectopic bone formation that A740003 reduced.

          • Expression of P2RX7B in primary tumour cells increased the propensity to metastasise to the lungs.

          • A novel gene axis,  FN1/ LOX/ PDGFB/ IGFBP3/ BMP4 was downregulated in response to A740003.

          Abstract

          Background

          Osteosarcoma (OS) is the most common type of primary bone cancer affecting children and adolescents. OS has a high propensity to spread meaning the disease is often incurable and fatal. There have been no improvements in survival rates for decades. This highlights an urgent need for the development of novel therapeutic strategies. Here, we report in vitro and in vivo data that demonstrates the role of purinergic signalling, specifically, the B isoform of the purinergic receptor P2RX7 (P2RX7B), in OS progression and metastasis.

          Methods

          TE85 and MNNG-HOS OS cells were transfected with P2RX7B. These cell lines were then characterised and assessed for proliferation, cell adhesion, migration and invasion in vitro. We used these cells to perform both paratibial and tail vein injected mouse studies where the primary tumour, bone and lungs were analysed. We used RNA-seq to identify responsive pathways relating to P2RX7B.

          Results

          Our data shows that P2RX7B expression confers a survival advantage in TE85 + P2RX7B and MNNG-HOS + P2RX7B human OS cell lines in vitro that is minimised following treatment with A740003, a specific P2RX7 antagonist. P2RX7B expression reduced cell adhesion and P2RX7B activation promoted invasion and migration in vitro, demonstrating a metastatic phenotype. Using an in vivo OS xenograft model, MNNG-HOS + P2RX7B tumours exhibited cancer-associated ectopic bone formation that was abrogated with A740003 treatment. A pro-metastatic phenotype was further demonstrated in vivo as expression of P2RX7B in primary tumour cells increased the propensity of tumour cells to metastasise to the lungs. RNA-seq identified a novel gene axis, FN1/ LOX/ PDGFB/ IGFBP3/ BMP4, downregulated in response to A740003 treatment.

          Conclusion

          Our data illustrates a role for P2RX7B in OS tumour growth, progression and metastasis. We show that P2RX7B is a future therapeutic target in human OS.

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          Most cited references65

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            Near-optimal probabilistic RNA-seq quantification.

            We present kallisto, an RNA-seq quantification program that is two orders of magnitude faster than previous approaches and achieves similar accuracy. Kallisto pseudoaligns reads to a reference, producing a list of transcripts that are compatible with each read while avoiding alignment of individual bases. We use kallisto to analyze 30 million unaligned paired-end RNA-seq reads in <10 min on a standard laptop computer. This removes a major computational bottleneck in RNA-seq analysis.
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              QuPath: Open source software for digital pathology image analysis

              QuPath is new bioimage analysis software designed to meet the growing need for a user-friendly, extensible, open-source solution for digital pathology and whole slide image analysis. In addition to offering a comprehensive panel of tumor identification and high-throughput biomarker evaluation tools, QuPath provides researchers with powerful batch-processing and scripting functionality, and an extensible platform with which to develop and share new algorithms to analyze complex tissue images. Furthermore, QuPath’s flexible design makes it suitable for a wide range of additional image analysis applications across biomedical research.
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                Author and article information

                Contributors
                Journal
                J Bone Oncol
                J Bone Oncol
                Journal of Bone Oncology
                Elsevier
                2212-1366
                2212-1374
                20 October 2021
                December 2021
                20 October 2021
                : 31
                : 100398
                Affiliations
                [a ]The Mellanby Centre for Musculoskeletal Research, Department of Oncology and Metabolism, The University of Sheffield, UK
                [b ]School of Biological Sciences, University of East Anglia, Norwich, UK
                [c ]Department of Medical Sciences, Section of Experimental Medicine, University of Ferrara, Italy
                [d ]Université de Nantes, Institut de Cancérologie de l’Ouest, Saint-Herblain, France
                [e ]Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, UK
                [f ]Clinical Biochemistry, Norfolk and Norwich University Hospital, Norwich Research Park, Norwich, UK
                Author notes
                [* ]Corresponding author. a.gartland@ 123456sheffield.ac.uk
                Article
                S2212-1374(21)00053-1 100398
                10.1016/j.jbo.2021.100398
                8948168
                35340569
                1b8c4c08-7aab-40e7-b275-5b4081c30530
                © 2021 The Authors. Published by Elsevier GmbH.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 10 August 2021
                : 18 October 2021
                : 19 October 2021
                Categories
                Research Paper

                atp, adenosine triphosphate,bzatp, benzoyl atp,de, differentially expressed,ecm, extracellular matrix,emt, epithelial–mesenchymal transition,fdr, false discovery rate,hbss, hanks balanced salt solution,lox, lysyl oxidase,mmps, matrix metalloproteinases,os, osteosarcoma,pe, paired end,qrt-pcr, quantitative reverse transcription polymerase chain reaction,atp,bone cancer,osteosarcoma,p2rx7b,purinergic signalling

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