Cargando…
Integrated analysis of serum lipid profile for predicting clinical outcomes of patients with malignant biliary tumor
BACKGROUND: Serum lipids were reported to be the prognostic factors of various cancers, but their prognostic value in malignant biliary tumor (MBT) patients remains unclear. Thus we aim to assess and compare prognosis values of different serum lipids, and construct a novel prognostic nomogram based...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547451/ https://www.ncbi.nlm.nih.gov/pubmed/33036576 http://dx.doi.org/10.1186/s12885-020-07496-8 |
_version_ | 1783592423277985792 |
---|---|
author | Sun, Lejia Ji, Xin Wang, Dongyue Guan, Ai Xiao, Yao Xu, Haifeng Du, Shunda Xu, Yiyao Zhao, Haitao Lu, Xin Sang, Xinting Zhong, Shouxian Yang, Huayu Mao, Yilei |
author_facet | Sun, Lejia Ji, Xin Wang, Dongyue Guan, Ai Xiao, Yao Xu, Haifeng Du, Shunda Xu, Yiyao Zhao, Haitao Lu, Xin Sang, Xinting Zhong, Shouxian Yang, Huayu Mao, Yilei |
author_sort | Sun, Lejia |
collection | PubMed |
description | BACKGROUND: Serum lipids were reported to be the prognostic factors of various cancers, but their prognostic value in malignant biliary tumor (MBT) patients remains unclear. Thus we aim to assess and compare prognosis values of different serum lipids, and construct a novel prognostic nomogram based on serum lipids. METHODS: Patients with a confirmed diagnosis of MBT at our institute from 2003 to 2017 were retrospectively reviewed. Prognosis-related factors were identified via univariate and multivariate Cox regression analyses. Then the novel prognostic nomogram and a 3-tier staging system were constructed based on these factors and further compared to the TNM staging system. RESULTS: A total of 368 patients were included in this study. Seven optimal survival-related factors—TC/HDL > 10.08, apolipoprotein B > 0.9 g/L, lipoprotein> 72 mg/L, lymph node metastasis, radical cure, CA199 > 37 U/mL, and tumor differentiation —were included to construct the prognostic nomogram. The C-indexes in training and validation sets were 0.738 and 0.721, respectively. Besides, ROC curves, calibration plots, and decision curve analysis all suggested favorable discrimination and predictive ability. The nomogram also performed better predictive ability than the TNM system and nomogram without lipid parameters. And the staging system based on nomogram also presented better discriminative ability than TNM system (P < 0.001). CONCLUSIONS: The promising prognostic nomogram based on lipid parameters provided an intuitive method for performing survival prediction and facilitating individualized treatment and was a great complement to the TNM staging system in predicting overall survival. |
format | Online Article Text |
id | pubmed-7547451 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75474512020-10-13 Integrated analysis of serum lipid profile for predicting clinical outcomes of patients with malignant biliary tumor Sun, Lejia Ji, Xin Wang, Dongyue Guan, Ai Xiao, Yao Xu, Haifeng Du, Shunda Xu, Yiyao Zhao, Haitao Lu, Xin Sang, Xinting Zhong, Shouxian Yang, Huayu Mao, Yilei BMC Cancer Research Article BACKGROUND: Serum lipids were reported to be the prognostic factors of various cancers, but their prognostic value in malignant biliary tumor (MBT) patients remains unclear. Thus we aim to assess and compare prognosis values of different serum lipids, and construct a novel prognostic nomogram based on serum lipids. METHODS: Patients with a confirmed diagnosis of MBT at our institute from 2003 to 2017 were retrospectively reviewed. Prognosis-related factors were identified via univariate and multivariate Cox regression analyses. Then the novel prognostic nomogram and a 3-tier staging system were constructed based on these factors and further compared to the TNM staging system. RESULTS: A total of 368 patients were included in this study. Seven optimal survival-related factors—TC/HDL > 10.08, apolipoprotein B > 0.9 g/L, lipoprotein> 72 mg/L, lymph node metastasis, radical cure, CA199 > 37 U/mL, and tumor differentiation —were included to construct the prognostic nomogram. The C-indexes in training and validation sets were 0.738 and 0.721, respectively. Besides, ROC curves, calibration plots, and decision curve analysis all suggested favorable discrimination and predictive ability. The nomogram also performed better predictive ability than the TNM system and nomogram without lipid parameters. And the staging system based on nomogram also presented better discriminative ability than TNM system (P < 0.001). CONCLUSIONS: The promising prognostic nomogram based on lipid parameters provided an intuitive method for performing survival prediction and facilitating individualized treatment and was a great complement to the TNM staging system in predicting overall survival. BioMed Central 2020-10-09 /pmc/articles/PMC7547451/ /pubmed/33036576 http://dx.doi.org/10.1186/s12885-020-07496-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Sun, Lejia Ji, Xin Wang, Dongyue Guan, Ai Xiao, Yao Xu, Haifeng Du, Shunda Xu, Yiyao Zhao, Haitao Lu, Xin Sang, Xinting Zhong, Shouxian Yang, Huayu Mao, Yilei Integrated analysis of serum lipid profile for predicting clinical outcomes of patients with malignant biliary tumor |
title | Integrated analysis of serum lipid profile for predicting clinical outcomes of patients with malignant biliary tumor |
title_full | Integrated analysis of serum lipid profile for predicting clinical outcomes of patients with malignant biliary tumor |
title_fullStr | Integrated analysis of serum lipid profile for predicting clinical outcomes of patients with malignant biliary tumor |
title_full_unstemmed | Integrated analysis of serum lipid profile for predicting clinical outcomes of patients with malignant biliary tumor |
title_short | Integrated analysis of serum lipid profile for predicting clinical outcomes of patients with malignant biliary tumor |
title_sort | integrated analysis of serum lipid profile for predicting clinical outcomes of patients with malignant biliary tumor |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547451/ https://www.ncbi.nlm.nih.gov/pubmed/33036576 http://dx.doi.org/10.1186/s12885-020-07496-8 |
work_keys_str_mv | AT sunlejia integratedanalysisofserumlipidprofileforpredictingclinicaloutcomesofpatientswithmalignantbiliarytumor AT jixin integratedanalysisofserumlipidprofileforpredictingclinicaloutcomesofpatientswithmalignantbiliarytumor AT wangdongyue integratedanalysisofserumlipidprofileforpredictingclinicaloutcomesofpatientswithmalignantbiliarytumor AT guanai integratedanalysisofserumlipidprofileforpredictingclinicaloutcomesofpatientswithmalignantbiliarytumor AT xiaoyao integratedanalysisofserumlipidprofileforpredictingclinicaloutcomesofpatientswithmalignantbiliarytumor AT xuhaifeng integratedanalysisofserumlipidprofileforpredictingclinicaloutcomesofpatientswithmalignantbiliarytumor AT dushunda integratedanalysisofserumlipidprofileforpredictingclinicaloutcomesofpatientswithmalignantbiliarytumor AT xuyiyao integratedanalysisofserumlipidprofileforpredictingclinicaloutcomesofpatientswithmalignantbiliarytumor AT zhaohaitao integratedanalysisofserumlipidprofileforpredictingclinicaloutcomesofpatientswithmalignantbiliarytumor AT luxin integratedanalysisofserumlipidprofileforpredictingclinicaloutcomesofpatientswithmalignantbiliarytumor AT sangxinting integratedanalysisofserumlipidprofileforpredictingclinicaloutcomesofpatientswithmalignantbiliarytumor AT zhongshouxian integratedanalysisofserumlipidprofileforpredictingclinicaloutcomesofpatientswithmalignantbiliarytumor AT yanghuayu integratedanalysisofserumlipidprofileforpredictingclinicaloutcomesofpatientswithmalignantbiliarytumor AT maoyilei integratedanalysisofserumlipidprofileforpredictingclinicaloutcomesofpatientswithmalignantbiliarytumor |