Identifying a ten-microRNA signature as a superior prognosis biomarker in colon adenocarcinoma
Abstract Background Increasing studies have suggested that aberrant expression of microRNAs might play essential roles in the progression of cancers. In this study, we sought to construct a high-specific and superior microRNAs signature to improve the survival prediction of colon adenocarcinoma (COA...
Main Authors: | , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2019-12-01
|
Series: | Cancer Cell International |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12935-019-1074-9 |
id |
doaj-98186795413d4a07b47a24b51e450a49 |
---|---|
record_format |
Article |
spelling |
doaj-98186795413d4a07b47a24b51e450a492021-01-03T12:09:15ZengBMCCancer Cell International1475-28672019-12-0119111610.1186/s12935-019-1074-9Identifying a ten-microRNA signature as a superior prognosis biomarker in colon adenocarcinomaRong Ma0Yanyun Zhao1Miao He2Hongliang Zhao3Yifan Zhang4Shuqi Zhou5Mengcong Gao6Di Di7Jue Wang8Jian Ding9Minjie Wei10Department of Pharmacology, School of Pharmacy, China Medical UniversityDepartment of Pharmacology, School of Pharmacy, China Medical UniversityDepartment of Pharmacology, School of Pharmacy, China Medical UniversityDepartment of Pharmacology, School of Pharmacy, China Medical UniversityDepartment of Pharmacology, School of Pharmacy, China Medical UniversityDepartment of Pharmacology, School of Pharmacy, China Medical UniversityDepartment of Pharmacology, School of Pharmacy, China Medical UniversityDepartment of Pharmacology, School of Pharmacy, China Medical UniversityDepartment of Pharmacology, School of Pharmacy, China Medical UniversityDepartment of Pharmacology, School of Pharmacy, China Medical UniversityDepartment of Pharmacology, School of Pharmacy, China Medical UniversityAbstract Background Increasing studies have suggested that aberrant expression of microRNAs might play essential roles in the progression of cancers. In this study, we sought to construct a high-specific and superior microRNAs signature to improve the survival prediction of colon adenocarcinoma (COAD) patients. Methods The genome-wide miRNAs, mRNA and lncRNA expression profiles and corresponding clinical information of COAD were collected from the TCGA database. Differential expression analysis, Kaplan–Meier curve and time-dependent ROC curve were calculated and performed using R software and GraphPad Prism7. Univariate and multivariate Cox analysis was performed to evaluate the prognostic ability of signature. Functional enrichment analysis was analyzed using STRING database. Results We identified ten prognosis-related microRNAs, including seven risky factors (hsa-miR-197, hsa-miR-32, hsa-miR-887, hsa-miR-3199-2, hsa-miR-4999, hsa-miR-561, hsa-miR-210) and three protective factors (hsa-miR-3917, hsa-miR-3189, hsa-miR-6854). The Kaplan–Meier survival analysis showed that the patients with high risk score had shorter overall survival (OS) in test series. And the similar results were observed in both validation and entire series. The time-dependent ROC curve suggested this signature have high accuracy of OS for COAD. The Multivariate Cox regression analysis and stratification analysis suggested that the ten-microRNA signature was an independent factor after being adjusted with other clinical characteristics. In addition, we also found microRNA signature have higher AUC than other signature. Furthermore, we identified some miRNA-target genes that affect lymphatic metastasis and invasion of COAD patients. Conclusion In this study, we established a ten-microRNA signature as a potentially reliable and independent biomarker for survival prediction of COAD patients.https://doi.org/10.1186/s12935-019-1074-9Colon adenocarcinomaMicroRNAsBiomarkerPrognosis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rong Ma Yanyun Zhao Miao He Hongliang Zhao Yifan Zhang Shuqi Zhou Mengcong Gao Di Di Jue Wang Jian Ding Minjie Wei |
spellingShingle |
Rong Ma Yanyun Zhao Miao He Hongliang Zhao Yifan Zhang Shuqi Zhou Mengcong Gao Di Di Jue Wang Jian Ding Minjie Wei Identifying a ten-microRNA signature as a superior prognosis biomarker in colon adenocarcinoma Cancer Cell International Colon adenocarcinoma MicroRNAs Biomarker Prognosis |
author_facet |
Rong Ma Yanyun Zhao Miao He Hongliang Zhao Yifan Zhang Shuqi Zhou Mengcong Gao Di Di Jue Wang Jian Ding Minjie Wei |
author_sort |
Rong Ma |
title |
Identifying a ten-microRNA signature as a superior prognosis biomarker in colon adenocarcinoma |
title_short |
Identifying a ten-microRNA signature as a superior prognosis biomarker in colon adenocarcinoma |
title_full |
Identifying a ten-microRNA signature as a superior prognosis biomarker in colon adenocarcinoma |
title_fullStr |
Identifying a ten-microRNA signature as a superior prognosis biomarker in colon adenocarcinoma |
title_full_unstemmed |
Identifying a ten-microRNA signature as a superior prognosis biomarker in colon adenocarcinoma |
title_sort |
identifying a ten-microrna signature as a superior prognosis biomarker in colon adenocarcinoma |
publisher |
BMC |
series |
Cancer Cell International |
issn |
1475-2867 |
publishDate |
2019-12-01 |
description |
Abstract Background Increasing studies have suggested that aberrant expression of microRNAs might play essential roles in the progression of cancers. In this study, we sought to construct a high-specific and superior microRNAs signature to improve the survival prediction of colon adenocarcinoma (COAD) patients. Methods The genome-wide miRNAs, mRNA and lncRNA expression profiles and corresponding clinical information of COAD were collected from the TCGA database. Differential expression analysis, Kaplan–Meier curve and time-dependent ROC curve were calculated and performed using R software and GraphPad Prism7. Univariate and multivariate Cox analysis was performed to evaluate the prognostic ability of signature. Functional enrichment analysis was analyzed using STRING database. Results We identified ten prognosis-related microRNAs, including seven risky factors (hsa-miR-197, hsa-miR-32, hsa-miR-887, hsa-miR-3199-2, hsa-miR-4999, hsa-miR-561, hsa-miR-210) and three protective factors (hsa-miR-3917, hsa-miR-3189, hsa-miR-6854). The Kaplan–Meier survival analysis showed that the patients with high risk score had shorter overall survival (OS) in test series. And the similar results were observed in both validation and entire series. The time-dependent ROC curve suggested this signature have high accuracy of OS for COAD. The Multivariate Cox regression analysis and stratification analysis suggested that the ten-microRNA signature was an independent factor after being adjusted with other clinical characteristics. In addition, we also found microRNA signature have higher AUC than other signature. Furthermore, we identified some miRNA-target genes that affect lymphatic metastasis and invasion of COAD patients. Conclusion In this study, we established a ten-microRNA signature as a potentially reliable and independent biomarker for survival prediction of COAD patients. |
topic |
Colon adenocarcinoma MicroRNAs Biomarker Prognosis |
url |
https://doi.org/10.1186/s12935-019-1074-9 |
work_keys_str_mv |
AT rongma identifyingatenmicrornasignatureasasuperiorprognosisbiomarkerincolonadenocarcinoma AT yanyunzhao identifyingatenmicrornasignatureasasuperiorprognosisbiomarkerincolonadenocarcinoma AT miaohe identifyingatenmicrornasignatureasasuperiorprognosisbiomarkerincolonadenocarcinoma AT hongliangzhao identifyingatenmicrornasignatureasasuperiorprognosisbiomarkerincolonadenocarcinoma AT yifanzhang identifyingatenmicrornasignatureasasuperiorprognosisbiomarkerincolonadenocarcinoma AT shuqizhou identifyingatenmicrornasignatureasasuperiorprognosisbiomarkerincolonadenocarcinoma AT mengconggao identifyingatenmicrornasignatureasasuperiorprognosisbiomarkerincolonadenocarcinoma AT didi identifyingatenmicrornasignatureasasuperiorprognosisbiomarkerincolonadenocarcinoma AT juewang identifyingatenmicrornasignatureasasuperiorprognosisbiomarkerincolonadenocarcinoma AT jianding identifyingatenmicrornasignatureasasuperiorprognosisbiomarkerincolonadenocarcinoma AT minjiewei identifyingatenmicrornasignatureasasuperiorprognosisbiomarkerincolonadenocarcinoma |
_version_ |
1724350732089425920 |