HOTAIR as a Prognostic Predictor for Diverse Human Cancers: A Meta- and Bioinformatics Analysis.

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Toy H. I., Okmen D., Kontou P., Georgakilas A. G., Pavlopoulou A.

Cancers, vol.11, no.6, 2019 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 11 Issue: 6
  • Publication Date: 2019
  • Doi Number: 10.3390/cancers11060778
  • Journal Name: Cancers
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Keywords: HOTAIR, prognostic biomarker, survival, meta-analysis, cancer, LONG NONCODING RNA, SQUAMOUS-CELL CARCINOMA, EPITHELIAL-MESENCHYMAL TRANSITION, ANTISENSE INTERGENIC RNA, POOR-PROGNOSIS, UP-REGULATION, LNCRNA HOTAIR, CLINICAL-SIGNIFICANCE, CERVICAL-CANCER, E-CADHERIN
  • Dokuz Eylül University Affiliated: Yes

Abstract

Several studies suggest that upregulated expression of the long non-coding RNA HOX transcript antisense RNA (HOTAIR) is a negative predictive biomarker for numerous cancers. Herein, we performed a meta-analysis to further investigate the prognostic value of HOTAIR expression in diverse human cancers. To this end, a systematic literature review was conducted in order to select scientific studies relevant to the association between HOTAIR expression and clinical outcomes, including overall survival (OS), recurrence-free survival (RFS)/disease-free survival (DFS), and progression-free survival (PFS)/metastasis-free survival (MFS) of cancer patients. Collectively, 53 eligible studies including a total of 4873 patients were enrolled in the current meta-analysis. Pooled hazard ratios (HRs) with their corresponding 95% confidence intervals (CIs) were calculated to assess the relationship between HOTAIR and cancer patients' survival. Elevated HOTAIR expression was found to be significantly associated with OS, RFS/DFS and PFS/MFS in diverse types of cancers. These findings were also corroborated by the results of bioinformatics analysis on overall survival. Therefore, based on our findings, HOTAIR could serve as a potential biomarker for the prediction of cancer patient survival in many different types of human cancers.