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Serum and Whole Blood Cu and Zn Status in Predicting Mortality in Lung Cancer Patients
Alterations in circulating Cu and Zn are negative predictors of survival in neoplastic patients and are known during lung cancer. However, no data on predicting mortality of lung cancer patients based on the level of these elements in the blood have been presented to date. The aims of this prospecti...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7824662/ https://www.ncbi.nlm.nih.gov/pubmed/33375477 http://dx.doi.org/10.3390/nu13010060 |
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author | Zabłocka-Słowińska, Katarzyna Prescha, Anna Płaczkowska, Sylwia Porębska, Irena Kosacka, Monika Pawełczyk, Konrad |
author_facet | Zabłocka-Słowińska, Katarzyna Prescha, Anna Płaczkowska, Sylwia Porębska, Irena Kosacka, Monika Pawełczyk, Konrad |
author_sort | Zabłocka-Słowińska, Katarzyna |
collection | PubMed |
description | Alterations in circulating Cu and Zn are negative predictors of survival in neoplastic patients and are known during lung cancer. However, no data on predicting mortality of lung cancer patients based on the level of these elements in the blood have been presented to date. The aims of this prospective cohort study were as follows: (i) To evaluate the disturbances in serum and whole blood Cu and Zn, (ii) to assess the relationships between serum and whole blood Cu and Zn status and clinical, sociodemographic, and nutritional data, and (iii) to investigate the association of Cu and Zn status with all-cause mortality in lung cancer. Naïve-treatment lung cancer patients (n = 167) were characterized in terms of sociodemographic, clinical, and anthropometric data and dietary intake and compared with sex-matched control subjects (n = 48). Whole blood and serum Cu and Zn status was determined by atomic absorption spectrometry. Cox proportional hazards models adjusted for multiple confounders/mediators were used to estimate the association between all-cause death and Cu and Zn status. Sex, cardiovascular disease, chronic obstructive pulmonary disease, clinical stage, and hemoglobin, platelet, and glucose concentrations significantly differentiated Cu and Zn status. All-cause mortality in lung cancer patients was positively associated with serum Cu levels, Cu:Zn ratio, and whole blood Zn levels. However, an advanced clinical stage of disease was the strongest predictor of all-cause mortality. Circulatory status of Cu and Zn might be included in routine clinical characteristics of patients with lung cancer patients as additional prognostic variables, but only after further more detail studies. |
format | Online Article Text |
id | pubmed-7824662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78246622021-01-24 Serum and Whole Blood Cu and Zn Status in Predicting Mortality in Lung Cancer Patients Zabłocka-Słowińska, Katarzyna Prescha, Anna Płaczkowska, Sylwia Porębska, Irena Kosacka, Monika Pawełczyk, Konrad Nutrients Article Alterations in circulating Cu and Zn are negative predictors of survival in neoplastic patients and are known during lung cancer. However, no data on predicting mortality of lung cancer patients based on the level of these elements in the blood have been presented to date. The aims of this prospective cohort study were as follows: (i) To evaluate the disturbances in serum and whole blood Cu and Zn, (ii) to assess the relationships between serum and whole blood Cu and Zn status and clinical, sociodemographic, and nutritional data, and (iii) to investigate the association of Cu and Zn status with all-cause mortality in lung cancer. Naïve-treatment lung cancer patients (n = 167) were characterized in terms of sociodemographic, clinical, and anthropometric data and dietary intake and compared with sex-matched control subjects (n = 48). Whole blood and serum Cu and Zn status was determined by atomic absorption spectrometry. Cox proportional hazards models adjusted for multiple confounders/mediators were used to estimate the association between all-cause death and Cu and Zn status. Sex, cardiovascular disease, chronic obstructive pulmonary disease, clinical stage, and hemoglobin, platelet, and glucose concentrations significantly differentiated Cu and Zn status. All-cause mortality in lung cancer patients was positively associated with serum Cu levels, Cu:Zn ratio, and whole blood Zn levels. However, an advanced clinical stage of disease was the strongest predictor of all-cause mortality. Circulatory status of Cu and Zn might be included in routine clinical characteristics of patients with lung cancer patients as additional prognostic variables, but only after further more detail studies. MDPI 2020-12-27 /pmc/articles/PMC7824662/ /pubmed/33375477 http://dx.doi.org/10.3390/nu13010060 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zabłocka-Słowińska, Katarzyna Prescha, Anna Płaczkowska, Sylwia Porębska, Irena Kosacka, Monika Pawełczyk, Konrad Serum and Whole Blood Cu and Zn Status in Predicting Mortality in Lung Cancer Patients |
title | Serum and Whole Blood Cu and Zn Status in Predicting Mortality in Lung Cancer Patients |
title_full | Serum and Whole Blood Cu and Zn Status in Predicting Mortality in Lung Cancer Patients |
title_fullStr | Serum and Whole Blood Cu and Zn Status in Predicting Mortality in Lung Cancer Patients |
title_full_unstemmed | Serum and Whole Blood Cu and Zn Status in Predicting Mortality in Lung Cancer Patients |
title_short | Serum and Whole Blood Cu and Zn Status in Predicting Mortality in Lung Cancer Patients |
title_sort | serum and whole blood cu and zn status in predicting mortality in lung cancer patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7824662/ https://www.ncbi.nlm.nih.gov/pubmed/33375477 http://dx.doi.org/10.3390/nu13010060 |
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