Literature DB >> 29525275

A 15-long non-coding RNA signature to improve prognosis prediction of cervical squamous cell carcinoma.

Xiaogang Mao1, Xiaomin Qin1, Lin Li1, Jinting Zhou1, Min Zhou1, Xianxian Li1, Ying Xu1, Liyun Yuan2, Qiong-Na Liu3, Hui Xing4.   

Abstract

Long non-coding RNAs (lncRNAs), which have little or no protein-coding capacity, caught a particular interest since their potential roles in the cancer paradigm. As the most common cancer in women, cervical squamous cell carcinoma remains one of the leading causes of deaths from cancer. However, limited evidence is available to determine the role of lncRNAs in the prognosis of cervical squamous cell carcinoma. In this study, we collected lncRNA expression profiling to identify prognosis related lncRNAs for cervical squamous cell carcinoma from TCGA database. In addition, we developed a 15-lncRNA signature based risk score to comprehensively assess the prognostic function of lncRNA. Furthermore, we performed a ROC analysis to identify the optimal cut-off point for classification risk level of the patients. Univariate Cox regression models were used to assess the association between lncRNAs and prognosis of patients with cervical squamous cell carcinoma. A 15-lncRNA based risk score was developed based on the Cox co-efficient of the individual lncRNAs. The prognostic value of this risk score was validated in the complete set and internal testing set. In summary, a 15-lncRNA expression signature (BAIAP2-AS1, RP11-203J24.8, LINC01133, RP1-7G5.6, RP11-147L13.15, SERHL, CTC-537E7.3, RP11-440L14.1, RP11-131N11.4, ILF3-AS1, RP11-80H18.4, RP11-1096G20.5, CTD-2192J16.26, RP11-621L6.3, and RP11-571M6.18) were identified and validated which can predict cervical cancer patient survival. The potential functions of this 15-lncRNA expression signature and individual lncRNAs as prognostic targets of cervical cancer were revealed by this study. Furthermore, these findings may have important implications in the understanding of the potential therapeutic method for the cervical squamous cell carcinoma patients.
Copyright © 2017. Published by Elsevier Inc.

Entities:  

Keywords:  Cervical squamous cell carcinoma; Prognosis prediction; TCGA; lncRNA signature

Mesh:

Substances:

Year:  2018        PMID: 29525275     DOI: 10.1016/j.ygyno.2017.12.011

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  23 in total

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6.  A prognostic nomogram integrating novel biomarkers identified by machine learning for cervical squamous cell carcinoma.

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7.  A ten-long non-coding RNA signature for predicting prognosis of patients with cervical cancer.

Authors:  Liang Shen; Haochen Yu; Ming Liu; Deying Wei; Wei Liu; Changzhong Li; Qin Chang
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8.  Discovery of a novel three-long non-coding RNA signature for predicting the prognosis of patients with gastric cancer.

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9.  lncRNAs classifier to accurately predict the recurrence of thymic epithelial tumors.

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10.  Identification of a six-gene signature with prognostic value for patients with endometrial carcinoma.

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Journal:  Cancer Med       Date:  2018-10-10       Impact factor: 4.452

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