Candidate Biomarkers for Genetic and Clinicopathological Diagnosis of Endometrial Cancer
The recent increase in the frequency of endometrial cancer has emphasized the need for accurate diagnosis and improved treatment. The current diagnosis is still based on conventional pathological indicators, such as clinical stage, tumor differentiation, invasion depth and vascular invasion. However...
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doaj-c2b7c65a7c9d42d192f2d0fbbb16f8632020-11-24T21:01:37ZengMDPI AGInternational Journal of Molecular Sciences1422-00672013-06-01146121231213710.3390/ijms140612123Candidate Biomarkers for Genetic and Clinicopathological Diagnosis of Endometrial CancerDaisuke AokiWataru YamagamiNobuyuki SusumuYusuke KobayashiKenta MasudaKiyoko UmeneMegumi YanokuraIori KisuYuya NogamiKouji BannoThe recent increase in the frequency of endometrial cancer has emphasized the need for accurate diagnosis and improved treatment. The current diagnosis is still based on conventional pathological indicators, such as clinical stage, tumor differentiation, invasion depth and vascular invasion. However, the genetic mechanisms underlying endometrial cancer have gradually been determined, due to developments in molecular biology, leading to the possibility of new methods of diagnosis and treatment planning. New candidate biomarkers for endometrial cancer include those for molecular epigenetic mutations, such as microRNAs. These biomarkers may permit earlier detection of endometrial cancer and prediction of outcomes and are likely to contribute to future personalized therapy for endometrial cancer.http://www.mdpi.com/1422-0067/14/6/12123endometrial cancermicrosatellite instabilityMSH6DNA hypermethylationCHFRmicroRNALynch syndromePTENK-rasCA125 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Daisuke Aoki Wataru Yamagami Nobuyuki Susumu Yusuke Kobayashi Kenta Masuda Kiyoko Umene Megumi Yanokura Iori Kisu Yuya Nogami Kouji Banno |
spellingShingle |
Daisuke Aoki Wataru Yamagami Nobuyuki Susumu Yusuke Kobayashi Kenta Masuda Kiyoko Umene Megumi Yanokura Iori Kisu Yuya Nogami Kouji Banno Candidate Biomarkers for Genetic and Clinicopathological Diagnosis of Endometrial Cancer International Journal of Molecular Sciences endometrial cancer microsatellite instability MSH6 DNA hypermethylation CHFR microRNA Lynch syndrome PTEN K-ras CA125 |
author_facet |
Daisuke Aoki Wataru Yamagami Nobuyuki Susumu Yusuke Kobayashi Kenta Masuda Kiyoko Umene Megumi Yanokura Iori Kisu Yuya Nogami Kouji Banno |
author_sort |
Daisuke Aoki |
title |
Candidate Biomarkers for Genetic and Clinicopathological Diagnosis of Endometrial Cancer |
title_short |
Candidate Biomarkers for Genetic and Clinicopathological Diagnosis of Endometrial Cancer |
title_full |
Candidate Biomarkers for Genetic and Clinicopathological Diagnosis of Endometrial Cancer |
title_fullStr |
Candidate Biomarkers for Genetic and Clinicopathological Diagnosis of Endometrial Cancer |
title_full_unstemmed |
Candidate Biomarkers for Genetic and Clinicopathological Diagnosis of Endometrial Cancer |
title_sort |
candidate biomarkers for genetic and clinicopathological diagnosis of endometrial cancer |
publisher |
MDPI AG |
series |
International Journal of Molecular Sciences |
issn |
1422-0067 |
publishDate |
2013-06-01 |
description |
The recent increase in the frequency of endometrial cancer has emphasized the need for accurate diagnosis and improved treatment. The current diagnosis is still based on conventional pathological indicators, such as clinical stage, tumor differentiation, invasion depth and vascular invasion. However, the genetic mechanisms underlying endometrial cancer have gradually been determined, due to developments in molecular biology, leading to the possibility of new methods of diagnosis and treatment planning. New candidate biomarkers for endometrial cancer include those for molecular epigenetic mutations, such as microRNAs. These biomarkers may permit earlier detection of endometrial cancer and prediction of outcomes and are likely to contribute to future personalized therapy for endometrial cancer. |
topic |
endometrial cancer microsatellite instability MSH6 DNA hypermethylation CHFR microRNA Lynch syndrome PTEN K-ras CA125 |
url |
http://www.mdpi.com/1422-0067/14/6/12123 |
work_keys_str_mv |
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1716777469287071744 |