Open Access
ARTICLE
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,
(This article belongs to this Special Issue: Molecular and Cellular Diagnostic Models)
BIOCELL 2021, 45(1), 17-26. https://doi.org/10.32604/biocell.2021.013973
Received 27 August 2020; Accepted 19 October 2020; Issue published 26 January 2021
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
BURNETT, M., RODOLICO, V., SHEN, F., LENG, R., ZHANG, M. et al. (2021).
PathVisio Analysis: An Application Targeting the miRNA Network Associated with the p53 Signaling Pathway in Osteosarcoma.
BIOCELL, 45(1), 17–26.