Cargando…
Serum hepatitis B viral (HBV) DNA is a predictive biomarker for survival in non-small cell lung cancer patients with chronic HBV infection
Purpose: To study the association between pretreatment serum hepatitis B viral (HBV) DNA copy numbers and clinical outcome of non-small cell lung cancer (NSCLC) patients with chronic HBV infection. Patients and methods: We retrospectively evaluated the medical records of NSCLC HBV (+) patients betwe...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549665/ https://www.ncbi.nlm.nih.gov/pubmed/31213920 http://dx.doi.org/10.2147/CMAR.S198714 |
_version_ | 1783424057875628032 |
---|---|
author | Fu, Yumei Yang, Xiaoyi Liang, Huifen Wu, Xingping |
author_facet | Fu, Yumei Yang, Xiaoyi Liang, Huifen Wu, Xingping |
author_sort | Fu, Yumei |
collection | PubMed |
description | Purpose: To study the association between pretreatment serum hepatitis B viral (HBV) DNA copy numbers and clinical outcome of non-small cell lung cancer (NSCLC) patients with chronic HBV infection. Patients and methods: We retrospectively evaluated the medical records of NSCLC HBV (+) patients between January 2008 and December 2010. The HBV DNA copy numbers and other prognostic factors including albumin (ALB), C-reactive protein (CRP), platelet, neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), and Glasgow Prognostic Score (GPS) were obtained before any antitumor treatment. Kaplan–Meier curves and the log-rank test were used to calculate prognostic significance. A multivariable Cox proportional hazard regression was modeled to analyze the independent prognostic factors for NSCLC HBV (+) patients. All independent prognostic factors in the Cox multivariable analysis were used to build a nomogram. The predictive accuracy of HBV DNA, TNM stage and nomogram was evaluated with the concordance index (C-index) and time-dependent receiver operating characteristics (ROC) curves, and simultaneously compared with traditional TNM staging system respectively. Results: A total of 188 patients were recruited in this study; the median age was 56 years, and the median overall survival (OS) was 34 months. Cox multivariate analysis results showed independent factors for OS including TNM stage (P=0.028), treatment (P=0.002), HBV DNA (P<0.001), and GPS (P=0.026). The nomogram model for survival was built based on four prognostic factors. The C-index for HBV DNA was 0.67, 0.69 for TNM stage, and 0.76 for the nomogram model. There was no statistical difference between HBV DNA and TNM stage (P=0.48). However, the C-index values of nomogram model were statistically higher both than HBV DNA (0.76 vs 0.67, P<0.001), and TNM stage (0.76 vs 0.69, P<0.001). Conclusion: Pretreatment serum HBV DNA copy numbers can act as a prognostic marker of survival for NSCLC patients with chronic HBV infection. |
format | Online Article Text |
id | pubmed-6549665 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-65496652019-06-18 Serum hepatitis B viral (HBV) DNA is a predictive biomarker for survival in non-small cell lung cancer patients with chronic HBV infection Fu, Yumei Yang, Xiaoyi Liang, Huifen Wu, Xingping Cancer Manag Res Original Research Purpose: To study the association between pretreatment serum hepatitis B viral (HBV) DNA copy numbers and clinical outcome of non-small cell lung cancer (NSCLC) patients with chronic HBV infection. Patients and methods: We retrospectively evaluated the medical records of NSCLC HBV (+) patients between January 2008 and December 2010. The HBV DNA copy numbers and other prognostic factors including albumin (ALB), C-reactive protein (CRP), platelet, neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), and Glasgow Prognostic Score (GPS) were obtained before any antitumor treatment. Kaplan–Meier curves and the log-rank test were used to calculate prognostic significance. A multivariable Cox proportional hazard regression was modeled to analyze the independent prognostic factors for NSCLC HBV (+) patients. All independent prognostic factors in the Cox multivariable analysis were used to build a nomogram. The predictive accuracy of HBV DNA, TNM stage and nomogram was evaluated with the concordance index (C-index) and time-dependent receiver operating characteristics (ROC) curves, and simultaneously compared with traditional TNM staging system respectively. Results: A total of 188 patients were recruited in this study; the median age was 56 years, and the median overall survival (OS) was 34 months. Cox multivariate analysis results showed independent factors for OS including TNM stage (P=0.028), treatment (P=0.002), HBV DNA (P<0.001), and GPS (P=0.026). The nomogram model for survival was built based on four prognostic factors. The C-index for HBV DNA was 0.67, 0.69 for TNM stage, and 0.76 for the nomogram model. There was no statistical difference between HBV DNA and TNM stage (P=0.48). However, the C-index values of nomogram model were statistically higher both than HBV DNA (0.76 vs 0.67, P<0.001), and TNM stage (0.76 vs 0.69, P<0.001). Conclusion: Pretreatment serum HBV DNA copy numbers can act as a prognostic marker of survival for NSCLC patients with chronic HBV infection. Dove 2019-05-31 /pmc/articles/PMC6549665/ /pubmed/31213920 http://dx.doi.org/10.2147/CMAR.S198714 Text en © 2019 Fu et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Fu, Yumei Yang, Xiaoyi Liang, Huifen Wu, Xingping Serum hepatitis B viral (HBV) DNA is a predictive biomarker for survival in non-small cell lung cancer patients with chronic HBV infection |
title | Serum hepatitis B viral (HBV) DNA is a predictive biomarker for survival in non-small cell lung cancer patients with chronic HBV infection |
title_full | Serum hepatitis B viral (HBV) DNA is a predictive biomarker for survival in non-small cell lung cancer patients with chronic HBV infection |
title_fullStr | Serum hepatitis B viral (HBV) DNA is a predictive biomarker for survival in non-small cell lung cancer patients with chronic HBV infection |
title_full_unstemmed | Serum hepatitis B viral (HBV) DNA is a predictive biomarker for survival in non-small cell lung cancer patients with chronic HBV infection |
title_short | Serum hepatitis B viral (HBV) DNA is a predictive biomarker for survival in non-small cell lung cancer patients with chronic HBV infection |
title_sort | serum hepatitis b viral (hbv) dna is a predictive biomarker for survival in non-small cell lung cancer patients with chronic hbv infection |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549665/ https://www.ncbi.nlm.nih.gov/pubmed/31213920 http://dx.doi.org/10.2147/CMAR.S198714 |
work_keys_str_mv | AT fuyumei serumhepatitisbviralhbvdnaisapredictivebiomarkerforsurvivalinnonsmallcelllungcancerpatientswithchronichbvinfection AT yangxiaoyi serumhepatitisbviralhbvdnaisapredictivebiomarkerforsurvivalinnonsmallcelllungcancerpatientswithchronichbvinfection AT lianghuifen serumhepatitisbviralhbvdnaisapredictivebiomarkerforsurvivalinnonsmallcelllungcancerpatientswithchronichbvinfection AT wuxingping serumhepatitisbviralhbvdnaisapredictivebiomarkerforsurvivalinnonsmallcelllungcancerpatientswithchronichbvinfection |