Open Access iconOpen Access

ARTICLE

crossmark

PathVisio Analysis: An Application Targeting the miRNA Network Associated with the p53 Signaling Pathway in Osteosarcoma

MERVIN BURNETT1, VITO RODOLICO2, FAN SHEN1, ROGER LENG1, MINGYONG ZHANG3, DAVID D. EISENSTAT4,5, CONSOLATO SERGI1,3,6,*

1 Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Canada
2 Department of Sciences for Health Promotion and Mother & Child Care, Section of Anatomic Pathology, University of Palermo, Palermo, Italy
3 Department of Orthopedics, TianYou Hospital, Wuhan University of Science and Technology, Wuhan, China
4 Division of Pediatric Hematology/Oncology, Stollery Children’s Hospital, Edmonton, Canada
5 Department of Oncology, University of Alberta, Edmonton, Canada
6 Department of Pediatrics, University of Alberta, Edmonton, Canada

* Address correspondence to: Consolato Sergi, email

(This article belongs to the Special Issue: Molecular and Cellular Diagnostic Models)

BIOCELL 2021, 45(1), 17-26. https://doi.org/10.32604/biocell.2021.013973

Abstract

MicroRNAs (miRNAs) are small single-stranded, non-coding RNA molecules involved in the pathogenesis and progression of cancer, including osteosarcoma. We aimed to clarify the pathways involving miRNAs using new bioinformatics tools. We applied WikiPathways and PathVisio, two open-source platforms, to analyze miRNAs in osteosarcoma using miRTar and ONCO.IO as integration tools. We found 1298 records of osteosarcoma papers associated with the word “miRNA”. In osteosarcoma patients with good response to chemotherapy, miR-92a, miR- 99b, miR-193a-5p, and miR-422a expression is increased, while miR-132 is decreased. All identified miRNAs seem to be centered on the TP53 network. This is the first application of PathVisio to determine miRNA pathways in osteosarcoma. MiRNAs have the potential to become a useful diagnostic and prognostic tool in the management of osteosarcoma. PathVisio is a full pathway editor with the potentiality to illustrate the biological events, augment graphical elements, and elucidate all the physical structures and interactions with standard external database identifiers.

Keywords


Cite This Article

APA Style
BURNETT, M., RODOLICO, V., SHEN, F., LENG, R., ZHANG, M. et al. (2021). <i>pathvisio</i> analysis: an application targeting the mirna network associated with the p53 signaling pathway in osteosarcoma. BIOCELL, 45(1), 17-26. https://doi.org/10.32604/biocell.2021.013973
Vancouver Style
BURNETT M, RODOLICO V, SHEN F, LENG R, ZHANG M, EISENSTAT DD, et al. <i>pathvisio</i> analysis: an application targeting the mirna network associated with the p53 signaling pathway in osteosarcoma. BIOCELL . 2021;45(1):17-26 https://doi.org/10.32604/biocell.2021.013973
IEEE Style
M. BURNETT et al., "<i>PathVisio</i> Analysis: An Application Targeting the miRNA Network Associated with the p53 Signaling Pathway in Osteosarcoma," BIOCELL , vol. 45, no. 1, pp. 17-26. 2021. https://doi.org/10.32604/biocell.2021.013973



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 2317

    View

  • 1349

    Download

  • 0

    Like

Share Link