Literature DB >> 31680309

Development and validation of a five-lncRNA signature with prognostic value in colon cancer.

Ji Lv1, Ying Guo2, Lili Yan1, Yang Lu1, Dongfeng Liu1, Jia Niu1.   

Abstract

Dysregulation of long noncoding RNAs (lncRNAs) has been found in a large number of human cancers, including colon cancer. Therefore, the implementation of potential lncRNAs biomarkers with prognostic prediction value are very much essential. GSE39582 data set was downloaded from database of Gene Expression Omnibus. Re-annotation analysis of lncRNA expression profiles was performed by NetAffx annotation files. Univariate and multivariate Cox proportional analyses helped select prognostic lncRNAs. Algorithm of random survival forest-variable hunting (RSF-VH) together with stepwise multivariate Cox proportional analysis were performed to establish lncRNA signature. The log-rank test was carried out to analyze and compare the Kaplan-Meier survival curves of patients' overall survival (OS). Receiver operating characteristic (ROC) analysis was used for comparing the survival prediction regarding its specificity and sensitivity based on lncRNA risk score, followed by calculating the values of area under the curve (AUC). The single-sample GSEA (ssGSEA) analysis was used to describe biological functions associated with this signature. Finally, to determine the robustness of this model, we used the validation sets including GSE17536 and The Cancer Genome Atlas data set. After re-annotation analysis of lncRNAs, a total of 14 lncRNA probes were obtained by univariate and multivariate Cox proportional analysis. Then, the RSF-VH algorithm and stepwise multivariate Cox analysis helped to build a five-lncRNA prognostic signature for colon cancer. The patients in group with high risk showed an obviously shorter survival time compared with patients in group with low risk with AUC of 0.75. In addition, the five-lncRNA signature can be used to independently predict the survival of patients with colon cancer. The ssGSEA analysis revealed that pathways such as extracellular matrix-receptor interaction was activated with an increase in risk score. These findings determined the strong power of prognostic prediction value of this five-lncRNA signature for colon cancer.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  GEO; colon cancer; long noncoding RNAs; prognosis; random survival forest-variable hunting algorithm

Year:  2019        PMID: 31680309     DOI: 10.1002/jcb.29518

Source DB:  PubMed          Journal:  J Cell Biochem        ISSN: 0730-2312            Impact factor:   4.429


  4 in total

1.  Construction of a new immune-related lncRNA model and prediction of treatment and survival prognosis of human colon cancer.

Authors:  Sicheng Liu; Xingyu Peng; Xun Wu; Fanqin Bu; Zhonglin Yu; Jinfeng Zhu; Chen Luo; Wenjun Zhang; Jiang Liu; Jun Huang
Journal:  World J Surg Oncol       Date:  2022-03-06       Impact factor: 2.754

2.  Development of Prognostic Indicator Based on Autophagy-Related lncRNA Analysis in Colon Adenocarcinoma.

Authors:  Weige Zhou; Shijing Zhang; Hui-Biao Li; Zheyou Cai; Shuting Tang; Li-Xia Chen; Jian-Ying Lang; Zheng Chen; Xin-Lin Chen
Journal:  Biomed Res Int       Date:  2020-09-02       Impact factor: 3.411

3.  Identification of an alternative splicing signature as an independent factor in colon cancer.

Authors:  Haitao Chen; Jun Luo; Jianchun Guo
Journal:  BMC Cancer       Date:  2020-09-22       Impact factor: 4.430

4.  Six-lncRNA Immune Prognostic Signature for Cervical Cancer.

Authors:  Qian Chen; Lang Hu; Dongping Huang; Kaihua Chen; Xiaoqiang Qiu; Bingqing Qiu
Journal:  Front Genet       Date:  2020-10-14       Impact factor: 4.599

  4 in total

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