Characterization of long non-coding RNA expression profiles in lymph node metastasis of early-stage cervical cancer

Shang,Chunliang; Zhu,Wenhui; Liu,Tianyu; Wang,Wei; Huang,Guangxin; Huang,Jiaming; Zhao,Peizhen; Zhao,Yunhe; Yao,Shuzhong

doi:10.3892/or.2016.4715

Characterization of long non-coding RNA expression profiles in lymph node metastasis of early-stage cervical cancer

Authors:
- Chunliang Shang
- Wenhui Zhu
- Tianyu Liu
- Wei Wang
- Guangxin Huang
- Jiaming Huang
- Peizhen Zhao
- Yunhe Zhao
- Shuzhong Yao
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Affiliations: Department of Obstetrics and Gynecology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China, Department of Preventive Dentistry, Guanghua School of Stomatology, Hospital of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China, Department of Joint Surgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, P.R. China, Faculty of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China
Published online on: March 29, 2016 https://doi.org/10.3892/or.2016.4715
Pages: 3185-3197
Copyright: © Shang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Pelvic lymph node metastasis (PLNM) is an independent prognostic parameter and determines the treatment strategies of cervical cancer. Increasing evidence indicates that long non-coding RNAs (lncRNAs) play a crucial role in the process of tumor biological functions. This study aimed to mine lymph node metastasis-associated lncRNAs and investigate their potential pathophysiological mechanism in cervical cancer lymph node metastasis. We applied the lncRNA-mining approach to identify lncRNA transcripts represented on Affymetrix human genome U133 plus 2.0 microarrays from Gene Expression Omnibus (GEO) and then by validation in clinical specimens. The biological role and molecular mechanism of these lncRNAs were predicted by bioinformatic analysis. Subsequently, a receiver operating characteristic (ROC) curve and survival curve were conducted to evaluate the diagnostic and prognostic value of candidate lncRNAs. In total, 234 differentially expressed lncRNAs were identified to significantly associate with pelvic lymph node metastasis in early-stage cervical cancer. Our qRT-PCR results were consistent with the mining analysis (P<0.05). The functional enrichment analysis suggested that these lncRNAs may be involved in the biological process of lymph node metastasis. The ROC curves demonstrated satisfactory discrimination power of MIR100HG and AC024560.2 with areas under the curve of 0.801 and 0.837, respectively. Survival curve also indicated that patients with high MIR100HG expression had a tendency of poor prognosis. This is the first study to successfully mine the lncRNA expression patterns in PLNM of early-stage cervical cancer. MIR100HG and AC024560.2 may be a potential biomarkers of PLNM and these lncRNAs may provide broader perspective for combating cervical cancer metastasis.

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