Cargando…

RTN2, a new member of circadian clock genes identified by database mining and bioinformatics prediction, is highly expressed in ovarian cancer

Increasing evidence suggests that core circadian genes have major roles in the carcinogenic mechanisms of multiple human malignancies. Among these genes, the role of reticulon 2 (RTN2) in ovarian cancer (OV) has so far remained elusive. In the present study, circadian clock gene (CCG) aberrations we...

Descripción completa

Detalles Bibliográficos
Autores principales: Zheng, Xiaojiao, Lv, Xiuyi, Chai, Jinghan, Huang, Yi, Zhu, Linyan, Zhang, Xianning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9551403/
https://www.ncbi.nlm.nih.gov/pubmed/36177918
http://dx.doi.org/10.3892/mmr.2022.12866
_version_ 1784806091017682944
author Zheng, Xiaojiao
Lv, Xiuyi
Chai, Jinghan
Huang, Yi
Zhu, Linyan
Zhang, Xianning
author_facet Zheng, Xiaojiao
Lv, Xiuyi
Chai, Jinghan
Huang, Yi
Zhu, Linyan
Zhang, Xianning
author_sort Zheng, Xiaojiao
collection PubMed
description Increasing evidence suggests that core circadian genes have major roles in the carcinogenic mechanisms of multiple human malignancies. Among these genes, the role of reticulon 2 (RTN2) in ovarian cancer (OV) has so far remained elusive. In the present study, circadian clock gene (CCG) aberrations were systematically assessed across malignancies by using Gene Expression Omnibus and The Cancer Genome Atlas data. The results indicated that various core clock genes (ULK1, ATF3, CRY2, CSF3R, DAAM2, GAS7, NPTXR, PPPIR15A and RTN2) had elevated levels in tumors in comparison with normal tissues and their low expression levels were associated with a better prognosis in OV, indicating that they may be potential candidates for novel investigational approaches. The mRNA and protein expression levels of RTN2 in OV were then further analyzed by reverse transcription-quantitative PCR and immunohistochemistry, respectively. The results indicated that RTN2 mRNA and protein levels were increased in OV specimens in comparison with control samples. Differentially expressed CCGs, such as RTN2, were suggested as indicators of asynchronous circadian rhythms in cancer, which may provide a theoretical basis for chrono-therapy.
format Online
Article
Text
id pubmed-9551403
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher D.A. Spandidos
record_format MEDLINE/PubMed
spelling pubmed-95514032022-10-15 RTN2, a new member of circadian clock genes identified by database mining and bioinformatics prediction, is highly expressed in ovarian cancer Zheng, Xiaojiao Lv, Xiuyi Chai, Jinghan Huang, Yi Zhu, Linyan Zhang, Xianning Mol Med Rep Articles Increasing evidence suggests that core circadian genes have major roles in the carcinogenic mechanisms of multiple human malignancies. Among these genes, the role of reticulon 2 (RTN2) in ovarian cancer (OV) has so far remained elusive. In the present study, circadian clock gene (CCG) aberrations were systematically assessed across malignancies by using Gene Expression Omnibus and The Cancer Genome Atlas data. The results indicated that various core clock genes (ULK1, ATF3, CRY2, CSF3R, DAAM2, GAS7, NPTXR, PPPIR15A and RTN2) had elevated levels in tumors in comparison with normal tissues and their low expression levels were associated with a better prognosis in OV, indicating that they may be potential candidates for novel investigational approaches. The mRNA and protein expression levels of RTN2 in OV were then further analyzed by reverse transcription-quantitative PCR and immunohistochemistry, respectively. The results indicated that RTN2 mRNA and protein levels were increased in OV specimens in comparison with control samples. Differentially expressed CCGs, such as RTN2, were suggested as indicators of asynchronous circadian rhythms in cancer, which may provide a theoretical basis for chrono-therapy. D.A. Spandidos 2022-09-29 /pmc/articles/PMC9551403/ /pubmed/36177918 http://dx.doi.org/10.3892/mmr.2022.12866 Text en Copyright: © Zheng et al. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Zheng, Xiaojiao
Lv, Xiuyi
Chai, Jinghan
Huang, Yi
Zhu, Linyan
Zhang, Xianning
RTN2, a new member of circadian clock genes identified by database mining and bioinformatics prediction, is highly expressed in ovarian cancer
title RTN2, a new member of circadian clock genes identified by database mining and bioinformatics prediction, is highly expressed in ovarian cancer
title_full RTN2, a new member of circadian clock genes identified by database mining and bioinformatics prediction, is highly expressed in ovarian cancer
title_fullStr RTN2, a new member of circadian clock genes identified by database mining and bioinformatics prediction, is highly expressed in ovarian cancer
title_full_unstemmed RTN2, a new member of circadian clock genes identified by database mining and bioinformatics prediction, is highly expressed in ovarian cancer
title_short RTN2, a new member of circadian clock genes identified by database mining and bioinformatics prediction, is highly expressed in ovarian cancer
title_sort rtn2, a new member of circadian clock genes identified by database mining and bioinformatics prediction, is highly expressed in ovarian cancer
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9551403/
https://www.ncbi.nlm.nih.gov/pubmed/36177918
http://dx.doi.org/10.3892/mmr.2022.12866
work_keys_str_mv AT zhengxiaojiao rtn2anewmemberofcircadianclockgenesidentifiedbydatabaseminingandbioinformaticspredictionishighlyexpressedinovariancancer
AT lvxiuyi rtn2anewmemberofcircadianclockgenesidentifiedbydatabaseminingandbioinformaticspredictionishighlyexpressedinovariancancer
AT chaijinghan rtn2anewmemberofcircadianclockgenesidentifiedbydatabaseminingandbioinformaticspredictionishighlyexpressedinovariancancer
AT huangyi rtn2anewmemberofcircadianclockgenesidentifiedbydatabaseminingandbioinformaticspredictionishighlyexpressedinovariancancer
AT zhulinyan rtn2anewmemberofcircadianclockgenesidentifiedbydatabaseminingandbioinformaticspredictionishighlyexpressedinovariancancer
AT zhangxianning rtn2anewmemberofcircadianclockgenesidentifiedbydatabaseminingandbioinformaticspredictionishighlyexpressedinovariancancer