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Erschienen in: International Journal of Clinical Oncology 11/2019

05.07.2019 | Original Article

CDC20 and its downstream genes: potential prognosis factors of osteosarcoma

verfasst von: Man-si Wu, Qing-yu Ma, Dong-dong Liu, Xiao-juan Li, Li-juan Deng, Nan Li, Jingnan Shen, Zhiqiang Zhao, Jia-xu Chen

Erschienen in: International Journal of Clinical Oncology | Ausgabe 11/2019

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Abstract

Background

We investigated the microarray data GSE42352 to identify genes that can be used as prognosis factors in osteosarcoma.

Methods

Gene Ontology (GO) biological process analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of Cytoscape ClueGo were used in verifying the function of different genes. Realtime-PCR were used to confirm the microarray results. 83 patient samples were collected and underwent Kaplan–Meier survival analysis and multivariate analysis to predict the prospect of genes using as prognosis factors.

Results

After analyzing the microarray data GSE42352, mitosis metaphase to anaphase-related genes CDC20, securin, cyclin A2 and cyclin B2 were found to be overexpressed in osteosarcoma cell lines. Kaplan–Meier survival analysis showed that overexpression of these genes can predict poor prognosis outcomes in osteosarcoma patients. Furthermore, any combination of the four genes seems to be more effective in predicting osteosarcoma outcomes than any of these genes alone.

Conclusions

CDC20 and its downstream substracts securin, cyclin A2 and cyclin B2 are good factors that can predict prognosis outcomes in osteosarcoma. Any two combination of these four genes are more effective to be used as osteosarcoma prognosis factors.
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Metadaten
Titel
CDC20 and its downstream genes: potential prognosis factors of osteosarcoma
verfasst von
Man-si Wu
Qing-yu Ma
Dong-dong Liu
Xiao-juan Li
Li-juan Deng
Nan Li
Jingnan Shen
Zhiqiang Zhao
Jia-xu Chen
Publikationsdatum
05.07.2019
Verlag
Springer Singapore
Erschienen in
International Journal of Clinical Oncology / Ausgabe 11/2019
Print ISSN: 1341-9625
Elektronische ISSN: 1437-7772
DOI
https://doi.org/10.1007/s10147-019-01500-3

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