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Diagnostic performance of SHOX2 promoter methylation as biomarker for lung cancer identification: A meta‐analysis update
OBJECTIVE: To evaluate the diagnostic performance of short state homeobox 2 (SHOX2) promoter methylation as biomarker for lung cancer identification through aggregating the open published data. METHODS: We did an electronic search in Pubmed, EMBASE, Ovid, Web of Science, Google Scholar, and the Chin...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons Australia, Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671898/ https://www.ncbi.nlm.nih.gov/pubmed/34741433 http://dx.doi.org/10.1111/1759-7714.14206 |
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author | Zhou, Xiaoxi Lu, Xiaoling Wu, Haiyan Liu, Juan Huang, He |
author_facet | Zhou, Xiaoxi Lu, Xiaoling Wu, Haiyan Liu, Juan Huang, He |
author_sort | Zhou, Xiaoxi |
collection | PubMed |
description | OBJECTIVE: To evaluate the diagnostic performance of short state homeobox 2 (SHOX2) promoter methylation as biomarker for lung cancer identification through aggregating the open published data. METHODS: We did an electronic search in Pubmed, EMBASE, Ovid, Web of Science, Google Scholar, and the China National Knowledge Infrastructure (CNKI) to identify the publications related to SHOX2 promoter methylation and lung cancer. The diagnostic performance of sensitivity (SEN), specificity (SPE), odds ratio (DOR), and summary receiver operating characteristic (SROC) cure were aggregated by fixed or random effect model. Fagan's nomogram was used to investigate the post‐test diagnostic probability. Deek's funnel plot and line regression test was applied to evaluate the publication bias. RESULTS: In total, 18 clinical studies about SHOX2 promoter methylation and lung cancer were included in the meta‐analysis. The combined diagnostic SEN, SPE, DOR were 0.63 (95% CI = 0.54–0.70), 0.91 (95% CI = 0.87–0.94), and 16.84 (95% CI = 11.18–25.36) in random effect model respectively. The pooled area under the curve (AUC) of SROC was 0.88 (95% CI = 0.84–0.90). The post‐test probability of lung cancer was 88% and 29% when SHOX2 methylated and unmethylated in humoral components given a pre‐test probability of 50%. Deek's funnel plot and regression test indicated no publication bias (p = 0.62). CONCLUSION: SHOX2 promoter methylation in humoral components may be a potential biomarker for lung cancer diagnosis with relative high diagnostic specificity. |
format | Online Article Text |
id | pubmed-8671898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley & Sons Australia, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-86718982021-12-21 Diagnostic performance of SHOX2 promoter methylation as biomarker for lung cancer identification: A meta‐analysis update Zhou, Xiaoxi Lu, Xiaoling Wu, Haiyan Liu, Juan Huang, He Thorac Cancer Original Articles OBJECTIVE: To evaluate the diagnostic performance of short state homeobox 2 (SHOX2) promoter methylation as biomarker for lung cancer identification through aggregating the open published data. METHODS: We did an electronic search in Pubmed, EMBASE, Ovid, Web of Science, Google Scholar, and the China National Knowledge Infrastructure (CNKI) to identify the publications related to SHOX2 promoter methylation and lung cancer. The diagnostic performance of sensitivity (SEN), specificity (SPE), odds ratio (DOR), and summary receiver operating characteristic (SROC) cure were aggregated by fixed or random effect model. Fagan's nomogram was used to investigate the post‐test diagnostic probability. Deek's funnel plot and line regression test was applied to evaluate the publication bias. RESULTS: In total, 18 clinical studies about SHOX2 promoter methylation and lung cancer were included in the meta‐analysis. The combined diagnostic SEN, SPE, DOR were 0.63 (95% CI = 0.54–0.70), 0.91 (95% CI = 0.87–0.94), and 16.84 (95% CI = 11.18–25.36) in random effect model respectively. The pooled area under the curve (AUC) of SROC was 0.88 (95% CI = 0.84–0.90). The post‐test probability of lung cancer was 88% and 29% when SHOX2 methylated and unmethylated in humoral components given a pre‐test probability of 50%. Deek's funnel plot and regression test indicated no publication bias (p = 0.62). CONCLUSION: SHOX2 promoter methylation in humoral components may be a potential biomarker for lung cancer diagnosis with relative high diagnostic specificity. John Wiley & Sons Australia, Ltd 2021-11-05 2021-12 /pmc/articles/PMC8671898/ /pubmed/34741433 http://dx.doi.org/10.1111/1759-7714.14206 Text en © 2021 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Articles Zhou, Xiaoxi Lu, Xiaoling Wu, Haiyan Liu, Juan Huang, He Diagnostic performance of SHOX2 promoter methylation as biomarker for lung cancer identification: A meta‐analysis update |
title | Diagnostic performance of SHOX2 promoter methylation as biomarker for lung cancer identification: A meta‐analysis update |
title_full | Diagnostic performance of SHOX2 promoter methylation as biomarker for lung cancer identification: A meta‐analysis update |
title_fullStr | Diagnostic performance of SHOX2 promoter methylation as biomarker for lung cancer identification: A meta‐analysis update |
title_full_unstemmed | Diagnostic performance of SHOX2 promoter methylation as biomarker for lung cancer identification: A meta‐analysis update |
title_short | Diagnostic performance of SHOX2 promoter methylation as biomarker for lung cancer identification: A meta‐analysis update |
title_sort | diagnostic performance of shox2 promoter methylation as biomarker for lung cancer identification: a meta‐analysis update |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671898/ https://www.ncbi.nlm.nih.gov/pubmed/34741433 http://dx.doi.org/10.1111/1759-7714.14206 |
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