Cargando…
A three-gene novel predictor for improving the prognosis of cervical cancer
Cervical cancer is the most common gynecological malignancy, the third most common malignant tumor in women worldwide, and the most common malignant tumor among Chinese women. However, despite continuous improvement in medical treatment, the number of cervical cancer cases in China is on the increas...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781735/ https://www.ncbi.nlm.nih.gov/pubmed/31612001 http://dx.doi.org/10.3892/ol.2019.10815 |
_version_ | 1783457430090285056 |
---|---|
author | Ding, Ting-Ting Ma, Hu Feng, Ji-Hong |
author_facet | Ding, Ting-Ting Ma, Hu Feng, Ji-Hong |
author_sort | Ding, Ting-Ting |
collection | PubMed |
description | Cervical cancer is the most common gynecological malignancy, the third most common malignant tumor in women worldwide, and the most common malignant tumor among Chinese women. However, despite continuous improvement in medical treatment, the number of cervical cancer cases in China is on the increase annually, consistent with the general trend in global cervical cancer incidence. Therefore, it is particularly important to study the pathogenesis of cervical cancer at the genetic level in China. The aim of the present study was to use the TCGA database to identify potential genetic signatures that could predict the prognosis of patients with cervical cancer and provide evidence supporting clinical genetic intervention in cervical cancer. Primarily, an effective three-gene signature was found that predicts prognosis in patients with cervical cancer. This model can provide prima facie evidence for future assessment of patient risk and prognosis, but further testing is required to improve its accuracy. Our results also suggested that centromere protein M, methionine sulfoxide reductase B3 and Zic family member 2 could be promising biomarkers for the prognosis of cervical cancer. |
format | Online Article Text |
id | pubmed-6781735 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-67817352019-10-14 A three-gene novel predictor for improving the prognosis of cervical cancer Ding, Ting-Ting Ma, Hu Feng, Ji-Hong Oncol Lett Articles Cervical cancer is the most common gynecological malignancy, the third most common malignant tumor in women worldwide, and the most common malignant tumor among Chinese women. However, despite continuous improvement in medical treatment, the number of cervical cancer cases in China is on the increase annually, consistent with the general trend in global cervical cancer incidence. Therefore, it is particularly important to study the pathogenesis of cervical cancer at the genetic level in China. The aim of the present study was to use the TCGA database to identify potential genetic signatures that could predict the prognosis of patients with cervical cancer and provide evidence supporting clinical genetic intervention in cervical cancer. Primarily, an effective three-gene signature was found that predicts prognosis in patients with cervical cancer. This model can provide prima facie evidence for future assessment of patient risk and prognosis, but further testing is required to improve its accuracy. Our results also suggested that centromere protein M, methionine sulfoxide reductase B3 and Zic family member 2 could be promising biomarkers for the prognosis of cervical cancer. D.A. Spandidos 2019-11 2019-09-05 /pmc/articles/PMC6781735/ /pubmed/31612001 http://dx.doi.org/10.3892/ol.2019.10815 Text en Copyright: © Ding et al. 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 Ding, Ting-Ting Ma, Hu Feng, Ji-Hong A three-gene novel predictor for improving the prognosis of cervical cancer |
title | A three-gene novel predictor for improving the prognosis of cervical cancer |
title_full | A three-gene novel predictor for improving the prognosis of cervical cancer |
title_fullStr | A three-gene novel predictor for improving the prognosis of cervical cancer |
title_full_unstemmed | A three-gene novel predictor for improving the prognosis of cervical cancer |
title_short | A three-gene novel predictor for improving the prognosis of cervical cancer |
title_sort | three-gene novel predictor for improving the prognosis of cervical cancer |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6781735/ https://www.ncbi.nlm.nih.gov/pubmed/31612001 http://dx.doi.org/10.3892/ol.2019.10815 |
work_keys_str_mv | AT dingtingting athreegenenovelpredictorforimprovingtheprognosisofcervicalcancer AT mahu athreegenenovelpredictorforimprovingtheprognosisofcervicalcancer AT fengjihong athreegenenovelpredictorforimprovingtheprognosisofcervicalcancer AT dingtingting threegenenovelpredictorforimprovingtheprognosisofcervicalcancer AT mahu threegenenovelpredictorforimprovingtheprognosisofcervicalcancer AT fengjihong threegenenovelpredictorforimprovingtheprognosisofcervicalcancer |