Cargando…
Systemic Lupus Erythematous and Malignancy Risk: A Meta-Analysis
BACKGROUND: Pilot studies have estimated cancer incidence in patients with systemic lupus erythematous (SLE). However, the results have been inconclusive. To ascertain the correlation between SLE and malignancy more comprehensively and precisely, we conducted a meta-analysis. METHODS: PubMed, the Co...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4401738/ https://www.ncbi.nlm.nih.gov/pubmed/25885411 http://dx.doi.org/10.1371/journal.pone.0122964 |
_version_ | 1782367185100865536 |
---|---|
author | Cao, Lihong Tong, Hongyan Xu, Gaixiang Liu, Ping Meng, Haitao Wang, Jinghan Zhao, Xiaoying Tang, Yongmin Jin, Jie |
author_facet | Cao, Lihong Tong, Hongyan Xu, Gaixiang Liu, Ping Meng, Haitao Wang, Jinghan Zhao, Xiaoying Tang, Yongmin Jin, Jie |
author_sort | Cao, Lihong |
collection | PubMed |
description | BACKGROUND: Pilot studies have estimated cancer incidence in patients with systemic lupus erythematous (SLE). However, the results have been inconclusive. To ascertain the correlation between SLE and malignancy more comprehensively and precisely, we conducted a meta-analysis. METHODS: PubMed, the Cochrane Library and Embase databases through June 2014, were searched to identify observational studies evaluating the association between SLE and malignancy. The outcomes from these studies were measured as relative risks (RRs). A random or fixed effects model was chosen to calculate the pooled RR according to heterogeneity test. Between-study heterogeneity was assessed by estimating I(2) index. Publication bias was assessed by Egger’s test. RESULTS: A total of 16 papers, including 59,662 SLE patients, were suitable for the meta-analysis. Of these papers, 15 reported RRs for overall malignancy, 12 for non-Hodgkin lymphoma (NHL) and lung cancer, 7 for bladder cancer, 6 for Hodgkin lymphoma (HL) and leukemia, 5 for skin melanoma, and liver and thyroid cancers, 4 for multiple myeloma (MM), and esophageal and vaginal/vulvar cancers and 3 for laryngeal and non-melanoma skin cancers. The pooled RRs were 1.28 (95% CI, 1.17–1.41) for overall cancer, 5.40 (95% CI, 3.75–7.77) for NHL, 3.26(95% CI, 2.17–4.88) for HL, 2.01(95% CI, 1.61–2.52) for leukemia, 1.45(95% CI, 1.04–2.03) for MM, 4.19(95% CI, 1.98–8.87) for laryngeal cancer, 1.59 (95% CI, 1.44–1.76) for lung cancer, 1.86(95% CI, 1.21–2.88) for esophageal cancer, 3.21(95% CI, 1.70–6.05) for liver cancer, 3.67(95% CI, 2.80–4.81) for vaginal/vulvar cancer, 2.11(95% CI, 1.12–3.99) for bladder cancer, 1.51(95% CI, 1.12–2.03) for non-melanoma skin cancer, 1.78(95% CI, 1.35–2.33) for thyroid cancer, and 0.65(95% CI, 0.50–0.85) for skin melanoma. Only the meta-analyses of overall malignancy, NHL, and liver and bladder cancers produced substantial heterogeneity (I(2), 57.6% vs 74.3% vs 67.7% vs 82.3%). No apparent publication bias was detected except for NHL studies. CONCLUSIONS: Our data support an association between SLE and malignancy, not only demonstrating an increased risk for NHL, HL, leukemia, and some non-hematologic malignancies, including laryngeal, lung, liver, vaginal/vulvar, and thyroid malignancies, but also a reduced risk for skin melanoma. Although an increased risk of MM, and esophageal, bladder and non-melanoma skin cancers was identified from the accumulated data in these studies, this observation requires confirmation. |
format | Online Article Text |
id | pubmed-4401738 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44017382015-04-21 Systemic Lupus Erythematous and Malignancy Risk: A Meta-Analysis Cao, Lihong Tong, Hongyan Xu, Gaixiang Liu, Ping Meng, Haitao Wang, Jinghan Zhao, Xiaoying Tang, Yongmin Jin, Jie PLoS One Research Article BACKGROUND: Pilot studies have estimated cancer incidence in patients with systemic lupus erythematous (SLE). However, the results have been inconclusive. To ascertain the correlation between SLE and malignancy more comprehensively and precisely, we conducted a meta-analysis. METHODS: PubMed, the Cochrane Library and Embase databases through June 2014, were searched to identify observational studies evaluating the association between SLE and malignancy. The outcomes from these studies were measured as relative risks (RRs). A random or fixed effects model was chosen to calculate the pooled RR according to heterogeneity test. Between-study heterogeneity was assessed by estimating I(2) index. Publication bias was assessed by Egger’s test. RESULTS: A total of 16 papers, including 59,662 SLE patients, were suitable for the meta-analysis. Of these papers, 15 reported RRs for overall malignancy, 12 for non-Hodgkin lymphoma (NHL) and lung cancer, 7 for bladder cancer, 6 for Hodgkin lymphoma (HL) and leukemia, 5 for skin melanoma, and liver and thyroid cancers, 4 for multiple myeloma (MM), and esophageal and vaginal/vulvar cancers and 3 for laryngeal and non-melanoma skin cancers. The pooled RRs were 1.28 (95% CI, 1.17–1.41) for overall cancer, 5.40 (95% CI, 3.75–7.77) for NHL, 3.26(95% CI, 2.17–4.88) for HL, 2.01(95% CI, 1.61–2.52) for leukemia, 1.45(95% CI, 1.04–2.03) for MM, 4.19(95% CI, 1.98–8.87) for laryngeal cancer, 1.59 (95% CI, 1.44–1.76) for lung cancer, 1.86(95% CI, 1.21–2.88) for esophageal cancer, 3.21(95% CI, 1.70–6.05) for liver cancer, 3.67(95% CI, 2.80–4.81) for vaginal/vulvar cancer, 2.11(95% CI, 1.12–3.99) for bladder cancer, 1.51(95% CI, 1.12–2.03) for non-melanoma skin cancer, 1.78(95% CI, 1.35–2.33) for thyroid cancer, and 0.65(95% CI, 0.50–0.85) for skin melanoma. Only the meta-analyses of overall malignancy, NHL, and liver and bladder cancers produced substantial heterogeneity (I(2), 57.6% vs 74.3% vs 67.7% vs 82.3%). No apparent publication bias was detected except for NHL studies. CONCLUSIONS: Our data support an association between SLE and malignancy, not only demonstrating an increased risk for NHL, HL, leukemia, and some non-hematologic malignancies, including laryngeal, lung, liver, vaginal/vulvar, and thyroid malignancies, but also a reduced risk for skin melanoma. Although an increased risk of MM, and esophageal, bladder and non-melanoma skin cancers was identified from the accumulated data in these studies, this observation requires confirmation. Public Library of Science 2015-04-17 /pmc/articles/PMC4401738/ /pubmed/25885411 http://dx.doi.org/10.1371/journal.pone.0122964 Text en © 2015 Cao et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Cao, Lihong Tong, Hongyan Xu, Gaixiang Liu, Ping Meng, Haitao Wang, Jinghan Zhao, Xiaoying Tang, Yongmin Jin, Jie Systemic Lupus Erythematous and Malignancy Risk: A Meta-Analysis |
title | Systemic Lupus Erythematous and Malignancy Risk: A Meta-Analysis |
title_full | Systemic Lupus Erythematous and Malignancy Risk: A Meta-Analysis |
title_fullStr | Systemic Lupus Erythematous and Malignancy Risk: A Meta-Analysis |
title_full_unstemmed | Systemic Lupus Erythematous and Malignancy Risk: A Meta-Analysis |
title_short | Systemic Lupus Erythematous and Malignancy Risk: A Meta-Analysis |
title_sort | systemic lupus erythematous and malignancy risk: a meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4401738/ https://www.ncbi.nlm.nih.gov/pubmed/25885411 http://dx.doi.org/10.1371/journal.pone.0122964 |
work_keys_str_mv | AT caolihong systemiclupuserythematousandmalignancyriskametaanalysis AT tonghongyan systemiclupuserythematousandmalignancyriskametaanalysis AT xugaixiang systemiclupuserythematousandmalignancyriskametaanalysis AT liuping systemiclupuserythematousandmalignancyriskametaanalysis AT menghaitao systemiclupuserythematousandmalignancyriskametaanalysis AT wangjinghan systemiclupuserythematousandmalignancyriskametaanalysis AT zhaoxiaoying systemiclupuserythematousandmalignancyriskametaanalysis AT tangyongmin systemiclupuserythematousandmalignancyriskametaanalysis AT jinjie systemiclupuserythematousandmalignancyriskametaanalysis |