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The prognostic value of a seven-lncRNA signature in patients with esophageal squamous cell carcinoma: a lncRNA expression analysis

Authors
  • Weng, Nuo-Qing1, 2
  • Chi, Jun1, 2, 3
  • Wen, Jing1, 2, 3
  • Mai, Shi-Juan1, 2
  • Zhang, Mei-Yin1, 2
  • Huang, Long4
  • Liu, Ji1, 2
  • Yang, Xian-Zi1, 2
  • Xu, Guo-Liang1, 2, 3
  • Fu, Jian-Hua1, 2, 3
  • Wang, Hui-Yun1, 2
  • 1 Sun Yat-Sen University Cancer Center, 651 Dongfeng East Road, Building 2, Room 704, Guzngzhou, 510060, China , Guzngzhou (China)
  • 2 Guangdong Esophageal Cancer Institute, Guangzhou, 510060, China , Guangzhou (China)
  • 3 Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China , Guangzhou (China)
  • 4 The Second Affiliated Hospital of Nanchang University, Nanchang, China , Nanchang (China)
Type
Published Article
Journal
Journal of Translational Medicine
Publisher
Springer (Biomed Central Ltd.)
Publication Date
Jan 31, 2020
Volume
18
Issue
1
Identifiers
DOI: 10.1186/s12967-020-02224-z
Source
Springer Nature
Keywords
License
Green

Abstract

BackgroundLong non-coding RNAs (lncRNAs) have been reported to be prognostic biomarkers in many types of cancer. We aimed to identify a lncRNA signature that can predict the prognosis in patients with esophageal squamous cell carcinoma (ESCC).MethodsUsing a custom microarray, we retrospectively analyzed lncRNA expression profiles in 141 samples of ESCC and 81 paired non-cancer specimens from Sun Yat-Sen University Cancer Center (Guangzhou, China), which were used as a training cohort to identify a signature associated with clinical outcomes. Then we conducted quantitative RT-PCR in another 103 samples of ESCC from the same cancer center as an independent cohort to verify the signature.ResultsMicroarray analysis showed that there were 338 lncRNAs significantly differentially expressed between ESCC and non-cancer esophagus tissues in the training cohort. From these differentially expressed lncRNAs, we found 16 lncRNAs associated with overall survival (OS) of ESCC patients using Cox regression analysis. Then a 7-lncRNA signature for predicting survival was identified from the 16 lncRNAs, which classified ESCC patients into high-risk and low-risk groups. Patients with high-risk have shorter OS (HR: 3.555, 95% CI 2.195–5.757, p < 0.001) and disease-free survival (DFS) (HR: 2.537, 95% CI 1.646–3.909, p < 0.001) when compared with patients with low-risk in the training cohort. In the independent cohort, the 7 lncRNAs were detected by qRT-PCR and used to compute risk score for the patients. The result indicates that patients with high risk also have significantly worse OS (HR = 2.662, 95% CI 1.588–4.464, p < 0.001) and DFS (HR 2.389, 95% CI 1.447–3.946, p < 0.001). The univariate and multivariate Cox regression analyses indicate that the signature is an independent factor for predicting survival of patients with ESCC. Combination of the signature and TNM staging was more powerful in predicting OS than TNM staging alone in both the training (AUC: 0.772 vs 0.681, p = 0.002) and independent cohorts (AUC: 0.772 vs 0.660, p = 0.003).ConclusionsThe 7-lncRNA signature is a potential prognostic biomarker in patients with ESCC and may help in treatment decision when combined with the TNM staging system.

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