Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Prognostic Characteristics of MACC1 Expression in Epithelial Ovarian Cancer

Authors
Jeong, HoiseonJung, JiyoonOh, Hwa EunChoi, Jung-WooLee, Eung SeokKim, Young-SikLee, Ju-Han
Issue Date
2018
Publisher
HINDAWI LTD
Citation
BIOMED RESEARCH INTERNATIONAL, v.2018
Indexed
SCIE
SCOPUS
Journal Title
BIOMED RESEARCH INTERNATIONAL
Volume
2018
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/132139
DOI
10.1155/2018/9207153
ISSN
2314-6133
Abstract
Recent studies have shown that overexpression of metastasis-associated in colon cancer 1 (MACC1) is significantly associated with adverse prognoses of patients with different kinds of cancer. However, the exact survival effect of mAca on epithelial ovarian cancer (EOC) patients has not yet been established. Thus, the objective of this study was to explore the prognostic role of MACC1 mRNA in EOC by using Kaplan-Meier (KM) plotter and ONCOMINE database. Our results indicated that MACC1 mRNA high expression was significantly associated with unfavorable overall survival (hazard ratio (HR) = 1.51 (95% confidence interval (CI): 1.21 - 1.88), P = 0.00025) and progression-free survival (HR = 1.53 (95% CI: 1.24 - 1.89), P = 5.8e-05) in EOC patients. We also found that the expression of MACC1 mRNA in EOC was 2.5 tones higher than that in normal surface ovarian epithelium, which was statistically significant (P = 2.86e-7). Our results suggest that MACC1 expression might be a biomarker for poor prognosis in individual EOC patients.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Medicine > Department of Medical Science > 1. Journal Articles
Graduate School > Department of Biomedical Sciences > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Young Sik photo

Kim, Young Sik
의과학과
Read more

Altmetrics

Total Views & Downloads

BROWSE