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Prognostic value of IGF-1R in lung cancer: A PRISMA-compliant meta-analysis
BACKGROUND: Insulin-like growth factor receptor 1 (IGF-1R) is a key player in a wide array of pathological processes, while the prognostic role of IGF-1R in lung cancer remains controversial. METHODS: We conducted a meta-analysis to evaluate the prognostic value of IGF-1R in lung cancer. We searched...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6531258/ https://www.ncbi.nlm.nih.gov/pubmed/31083179 http://dx.doi.org/10.1097/MD.0000000000015467 |
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author | Xu, Jun Bie, Fenglong Wang, Yadong Chen, Xiaowei Yan, Tao Du, Jiajun |
author_facet | Xu, Jun Bie, Fenglong Wang, Yadong Chen, Xiaowei Yan, Tao Du, Jiajun |
author_sort | Xu, Jun |
collection | PubMed |
description | BACKGROUND: Insulin-like growth factor receptor 1 (IGF-1R) is a key player in a wide array of pathological processes, while the prognostic role of IGF-1R in lung cancer remains controversial. METHODS: We conducted a meta-analysis to evaluate the prognostic value of IGF-1R in lung cancer. We searched for recent studies on the expression of IGF-1R and extracted prognostic lung cancer data from the articles. RESULTS: Eventually, 22 studies with 3859 patients were analyzed in our meta-analysis. Hazard ratios (HRs) and their 95% confidence intervals (CIs) were used to quantify the ability of IGF-1R to predict survival. The results indicated that IGF-1R positive expression was associated with an unfavorable disease-free survival (DFS) in non-small cell lung cancer (NSCLC) patients on univariate analysis (HR = 1.24, 95% CI: 1.00–1.55, P = .054) and multivariate analysis (HR = 1.49, 95% CI: 1.01–2.21, P = .045), but there was no significant difference in the relationship between IGF-1R positive expression and overall survival (OS) on univariate analysis (HR = 1.04, 95% CI: 0.86–1.25, P = .712) and multivariate analysis (HR = 0.89, 95% CI: 0.57–1.39, P = .602). IGF-1R mRNA expression related to OS was obtained in 2 studies, with the pooled HR being 1.663 (95% CI: 1.071–2.583, P = .024). For IGF-1R expression and small cell lung cancer (SCLC), the conclusion was not statistically significant, with the pooled HR being 1.22 (95% CI: 0.66–2.27, P = .524). CONCLUSIONS: Our results indicate that high expression of IGF-1R predicts poor DFS in NSCLC, yet it does not predict poor OS in NSCLC and SCLC. IGF-1R may be a useful predictor of outcomes in patients with NSCLC. |
format | Online Article Text |
id | pubmed-6531258 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-65312582019-06-25 Prognostic value of IGF-1R in lung cancer: A PRISMA-compliant meta-analysis Xu, Jun Bie, Fenglong Wang, Yadong Chen, Xiaowei Yan, Tao Du, Jiajun Medicine (Baltimore) Research Article BACKGROUND: Insulin-like growth factor receptor 1 (IGF-1R) is a key player in a wide array of pathological processes, while the prognostic role of IGF-1R in lung cancer remains controversial. METHODS: We conducted a meta-analysis to evaluate the prognostic value of IGF-1R in lung cancer. We searched for recent studies on the expression of IGF-1R and extracted prognostic lung cancer data from the articles. RESULTS: Eventually, 22 studies with 3859 patients were analyzed in our meta-analysis. Hazard ratios (HRs) and their 95% confidence intervals (CIs) were used to quantify the ability of IGF-1R to predict survival. The results indicated that IGF-1R positive expression was associated with an unfavorable disease-free survival (DFS) in non-small cell lung cancer (NSCLC) patients on univariate analysis (HR = 1.24, 95% CI: 1.00–1.55, P = .054) and multivariate analysis (HR = 1.49, 95% CI: 1.01–2.21, P = .045), but there was no significant difference in the relationship between IGF-1R positive expression and overall survival (OS) on univariate analysis (HR = 1.04, 95% CI: 0.86–1.25, P = .712) and multivariate analysis (HR = 0.89, 95% CI: 0.57–1.39, P = .602). IGF-1R mRNA expression related to OS was obtained in 2 studies, with the pooled HR being 1.663 (95% CI: 1.071–2.583, P = .024). For IGF-1R expression and small cell lung cancer (SCLC), the conclusion was not statistically significant, with the pooled HR being 1.22 (95% CI: 0.66–2.27, P = .524). CONCLUSIONS: Our results indicate that high expression of IGF-1R predicts poor DFS in NSCLC, yet it does not predict poor OS in NSCLC and SCLC. IGF-1R may be a useful predictor of outcomes in patients with NSCLC. Wolters Kluwer Health 2019-05-13 /pmc/articles/PMC6531258/ /pubmed/31083179 http://dx.doi.org/10.1097/MD.0000000000015467 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 |
spellingShingle | Research Article Xu, Jun Bie, Fenglong Wang, Yadong Chen, Xiaowei Yan, Tao Du, Jiajun Prognostic value of IGF-1R in lung cancer: A PRISMA-compliant meta-analysis |
title | Prognostic value of IGF-1R in lung cancer: A PRISMA-compliant meta-analysis |
title_full | Prognostic value of IGF-1R in lung cancer: A PRISMA-compliant meta-analysis |
title_fullStr | Prognostic value of IGF-1R in lung cancer: A PRISMA-compliant meta-analysis |
title_full_unstemmed | Prognostic value of IGF-1R in lung cancer: A PRISMA-compliant meta-analysis |
title_short | Prognostic value of IGF-1R in lung cancer: A PRISMA-compliant meta-analysis |
title_sort | prognostic value of igf-1r in lung cancer: a prisma-compliant meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6531258/ https://www.ncbi.nlm.nih.gov/pubmed/31083179 http://dx.doi.org/10.1097/MD.0000000000015467 |
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