@Article{biocell.2021.013973,
AUTHOR = {MERVIN BURNETT, VITO RODOLICO, FAN SHEN, ROGER LENG, MINGYONG ZHANG, DAVID D. EISENSTAT, CONSOLATO SERGI},
TITLE = {<i>PathVisio</i> Analysis: An Application Targeting the miRNA Network Associated with the p53 Signaling Pathway in Osteosarcoma},
JOURNAL = {BIOCELL},
VOLUME = {45},
YEAR = {2021},
NUMBER = {1},
PAGES = {17--26},
URL = {http://www.techscience.com/biocell/v45n1/41396},
ISSN = {1667-5746},
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 <i>WikiPathways</i> and <i>PathVisio</i>, 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 <i>TP53</i> network. This is the first application of <i>PathVisio</i> to determine miRNA pathways in
osteosarcoma. MiRNAs have the potential to become a useful diagnostic and prognostic tool in the management of
osteosarcoma. <i>PathVisio</i> 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.},
DOI = {10.32604/biocell.2021.013973}
}