HOTAIR as a Prognostic Predictor for Diverse Human Cancers: A Meta- and Bioinformatics Analysis
| Autor: | Panagiota I. Kontou, Didem Okmen, Halil Ibrahim Toy, Athanasia Pavlopoulou, Alexandros G. Georgakilas |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Oncology
Cancer Research medicine.medical_specialty Bioinformatics analysis Correlation and dependence lcsh:RC254-282 survival HOTAIR Article 03 medical and health sciences 0302 clinical medicine Internal medicine cancer Medicine skin and connective tissue diseases prognostic biomarker 030304 developmental biology 0303 health sciences business.industry Hazard ratio Cancer Patient survival lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens medicine.disease Confidence interval 3. Good health meta-analysis 030220 oncology & carcinogenesis Meta-analysis business HOX Transcript Antisense RNA |
| Zdroj: | Cancers Volume 11 Issue 6 DOAJ-Articles PubMed Central Datacite UnpayWall ORCID Microsoft Academic Graph Multidisciplinary Digital Publishing Institute Cancers, Vol 11, Iss 6, p 778 (2019) |
| ISSN: | 2072-6694 |
| DOI: | 10.3390/cancers11060778 |
| Popis: | 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. 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&rsquo |
| Databáze: | OpenAIRE |
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