Cargando…
A meta-analysis of prognostic roles of molecular markers in papillary thyroid carcinoma
The prognostic role of molecular markers in papillary thyroid carcinoma (PTC) is a matter of ongoing debate. The aim of our study is to investigate the impact of RAS, BRAF, TERT promoter mutations and RET/PTC rearrangements on the prognosis of PTC patients. We performed a search in four electronic d...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bioscientifica Ltd
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5424840/ https://www.ncbi.nlm.nih.gov/pubmed/28219937 http://dx.doi.org/10.1530/EC-17-0010 |
_version_ | 1783235200320274432 |
---|---|
author | Vuong, Huy Gia Duong, Uyen N P Altibi, Ahmed M A Ngo, Hanh T T Pham, Thong Quang Tran, Hung Minh Gandolfi, Greta Hassell, Lewis |
author_facet | Vuong, Huy Gia Duong, Uyen N P Altibi, Ahmed M A Ngo, Hanh T T Pham, Thong Quang Tran, Hung Minh Gandolfi, Greta Hassell, Lewis |
author_sort | Vuong, Huy Gia |
collection | PubMed |
description | The prognostic role of molecular markers in papillary thyroid carcinoma (PTC) is a matter of ongoing debate. The aim of our study is to investigate the impact of RAS, BRAF, TERT promoter mutations and RET/PTC rearrangements on the prognosis of PTC patients. We performed a search in four electronic databases: PubMed, Scopus, Web of Science and Virtual Health Library (VHL). Data of hazard ratio (HR) and its 95% confidence interval (CI) for disease-specific survival (DSS) and disease-free survival (DFS) were directly obtained from original papers or indirectly estimated from Kaplan–Meier curve (KMC). Pooled HRs were calculated using random-effect model weighted by inverse variance method. Publication bias was assessed by using Egger’s regression test and visual inspection of funnel plots. From 2630 studies, we finally included 35 studies with 17,732 patients for meta-analyses. TERT promoter mutation was significantly associated with unfavorable DSS (HR = 7.64; 95% CI = 4.00–14.61) and DFS (HR = 2.98; 95% CI = 2.27–3.92). BRAF mutations significantly increased the risk for recurrence (HR = 1.63; 95% CI = 1.27–2.10) but not for cancer mortality (HR = 1.41; 95% CI = 0.90–2.23). In subgroup analyses, BRAF mutation only showed its prognostic value in short-/medium-term follow-up. Data regarding RAS mutations and RET/PTC fusions were insufficient for meta-analyses. TERT promoter mutation can be used as an independent and reliable marker for risk stratification and predicting patient’s outcomes. The use of BRAF mutation to assess patient prognosis should be carefully considered. |
format | Online Article Text |
id | pubmed-5424840 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Bioscientifica Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-54248402017-05-22 A meta-analysis of prognostic roles of molecular markers in papillary thyroid carcinoma Vuong, Huy Gia Duong, Uyen N P Altibi, Ahmed M A Ngo, Hanh T T Pham, Thong Quang Tran, Hung Minh Gandolfi, Greta Hassell, Lewis Endocr Connect Review The prognostic role of molecular markers in papillary thyroid carcinoma (PTC) is a matter of ongoing debate. The aim of our study is to investigate the impact of RAS, BRAF, TERT promoter mutations and RET/PTC rearrangements on the prognosis of PTC patients. We performed a search in four electronic databases: PubMed, Scopus, Web of Science and Virtual Health Library (VHL). Data of hazard ratio (HR) and its 95% confidence interval (CI) for disease-specific survival (DSS) and disease-free survival (DFS) were directly obtained from original papers or indirectly estimated from Kaplan–Meier curve (KMC). Pooled HRs were calculated using random-effect model weighted by inverse variance method. Publication bias was assessed by using Egger’s regression test and visual inspection of funnel plots. From 2630 studies, we finally included 35 studies with 17,732 patients for meta-analyses. TERT promoter mutation was significantly associated with unfavorable DSS (HR = 7.64; 95% CI = 4.00–14.61) and DFS (HR = 2.98; 95% CI = 2.27–3.92). BRAF mutations significantly increased the risk for recurrence (HR = 1.63; 95% CI = 1.27–2.10) but not for cancer mortality (HR = 1.41; 95% CI = 0.90–2.23). In subgroup analyses, BRAF mutation only showed its prognostic value in short-/medium-term follow-up. Data regarding RAS mutations and RET/PTC fusions were insufficient for meta-analyses. TERT promoter mutation can be used as an independent and reliable marker for risk stratification and predicting patient’s outcomes. The use of BRAF mutation to assess patient prognosis should be carefully considered. Bioscientifica Ltd 2017-02-20 /pmc/articles/PMC5424840/ /pubmed/28219937 http://dx.doi.org/10.1530/EC-17-0010 Text en © 2017 The authors http://creativecommons.org/licenses/by-nc/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. (http://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Review Vuong, Huy Gia Duong, Uyen N P Altibi, Ahmed M A Ngo, Hanh T T Pham, Thong Quang Tran, Hung Minh Gandolfi, Greta Hassell, Lewis A meta-analysis of prognostic roles of molecular markers in papillary thyroid carcinoma |
title | A meta-analysis of prognostic roles of molecular markers in papillary thyroid carcinoma |
title_full | A meta-analysis of prognostic roles of molecular markers in papillary thyroid carcinoma |
title_fullStr | A meta-analysis of prognostic roles of molecular markers in papillary thyroid carcinoma |
title_full_unstemmed | A meta-analysis of prognostic roles of molecular markers in papillary thyroid carcinoma |
title_short | A meta-analysis of prognostic roles of molecular markers in papillary thyroid carcinoma |
title_sort | meta-analysis of prognostic roles of molecular markers in papillary thyroid carcinoma |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5424840/ https://www.ncbi.nlm.nih.gov/pubmed/28219937 http://dx.doi.org/10.1530/EC-17-0010 |
work_keys_str_mv | AT vuonghuygia ametaanalysisofprognosticrolesofmolecularmarkersinpapillarythyroidcarcinoma AT duonguyennp ametaanalysisofprognosticrolesofmolecularmarkersinpapillarythyroidcarcinoma AT altibiahmedma ametaanalysisofprognosticrolesofmolecularmarkersinpapillarythyroidcarcinoma AT ngohanhtt ametaanalysisofprognosticrolesofmolecularmarkersinpapillarythyroidcarcinoma AT phamthongquang ametaanalysisofprognosticrolesofmolecularmarkersinpapillarythyroidcarcinoma AT tranhungminh ametaanalysisofprognosticrolesofmolecularmarkersinpapillarythyroidcarcinoma AT gandolfigreta ametaanalysisofprognosticrolesofmolecularmarkersinpapillarythyroidcarcinoma AT hasselllewis ametaanalysisofprognosticrolesofmolecularmarkersinpapillarythyroidcarcinoma AT vuonghuygia metaanalysisofprognosticrolesofmolecularmarkersinpapillarythyroidcarcinoma AT duonguyennp metaanalysisofprognosticrolesofmolecularmarkersinpapillarythyroidcarcinoma AT altibiahmedma metaanalysisofprognosticrolesofmolecularmarkersinpapillarythyroidcarcinoma AT ngohanhtt metaanalysisofprognosticrolesofmolecularmarkersinpapillarythyroidcarcinoma AT phamthongquang metaanalysisofprognosticrolesofmolecularmarkersinpapillarythyroidcarcinoma AT tranhungminh metaanalysisofprognosticrolesofmolecularmarkersinpapillarythyroidcarcinoma AT gandolfigreta metaanalysisofprognosticrolesofmolecularmarkersinpapillarythyroidcarcinoma AT hasselllewis metaanalysisofprognosticrolesofmolecularmarkersinpapillarythyroidcarcinoma |