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Pre-diagnostic biomarkers of metabolic dysregulation and cancer mortality
INTRODUCTION: The obesogenic milieu is a pro-tumorigenic environment that promotes tumor initiation, angiogenesis and metastasis. In this prospective cohort, we examined the association between pre-diagnostic metabolic biomarkers, plasma adiponectin, resistin, leptin and lipoprotein (a), and the ris...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5882320/ https://www.ncbi.nlm.nih.gov/pubmed/29662629 http://dx.doi.org/10.18632/oncotarget.24559 |
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author | Akinyemiju, Tomi Moore, Justin Xavier Judd, Suzanne E. Pisu, Maria Goodman, Michael Howard, Virginia J. Long, Leann Safford, Monika Gilchrist, Susan C. Cushman, Mary |
author_facet | Akinyemiju, Tomi Moore, Justin Xavier Judd, Suzanne E. Pisu, Maria Goodman, Michael Howard, Virginia J. Long, Leann Safford, Monika Gilchrist, Susan C. Cushman, Mary |
author_sort | Akinyemiju, Tomi |
collection | PubMed |
description | INTRODUCTION: The obesogenic milieu is a pro-tumorigenic environment that promotes tumor initiation, angiogenesis and metastasis. In this prospective cohort, we examined the association between pre-diagnostic metabolic biomarkers, plasma adiponectin, resistin, leptin and lipoprotein (a), and the risk of cancer mortality. METHODS: Prospective data was obtained from the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort of Blacks and Whites followed from 2003 through 2012 for cancer mortality. We determined the association between metabolism biomarkers (log-transformed and tertiles) and risk of cancer mortality using Cox Proportional Hazards models with robust sandwich estimators to calculate the 95% confidence intervals (CIs), and adjusted for baseline covariates, including age, gender, income, education, physical activity, BMI, smoking status, alcohol use, and comorbidity score. RESULTS: Among 1764 participants with available biomarker data, each SD higher log-leptin was associated with a 54% reduced risk of total cancer mortality (HR: 0.46, 95% CI: 0.23 – 0.92) and obesity-related cancer mortality (HR: 0.55, 95% CI: 0.39-0.79). Among Blacks only, each SD higher log-resistin was associated with a nearly 7-fold increased risk of cancer mortality (adjusted HR: 6.68, 95% CI: 2.10 – 21.21). There were no significant associations of adiponectin or Lp(a) and cancer mortality. CONCLUSIONS: Leptin is involved in long-term regulation of energy balance, while resistin is involved in chronic inflammation and LDL production. These findings highlight the biological mechanisms linking metabolic dysregulation with cancer mortality, and the influence of resistin on cancer mortality only among Blacks suggests that this hormone may be a useful biomarker of racial differences in cancer mortality that deserves further study. IMPACT: Our observed increased risk of cancer mortality associated with higher serum resistin levels among Blacks suggests that if validated in larger cohorts, clinical strategies focused on resistin control may be a promising cancer prevention strategy. |
format | Online Article Text |
id | pubmed-5882320 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-58823202018-04-16 Pre-diagnostic biomarkers of metabolic dysregulation and cancer mortality Akinyemiju, Tomi Moore, Justin Xavier Judd, Suzanne E. Pisu, Maria Goodman, Michael Howard, Virginia J. Long, Leann Safford, Monika Gilchrist, Susan C. Cushman, Mary Oncotarget Research Paper INTRODUCTION: The obesogenic milieu is a pro-tumorigenic environment that promotes tumor initiation, angiogenesis and metastasis. In this prospective cohort, we examined the association between pre-diagnostic metabolic biomarkers, plasma adiponectin, resistin, leptin and lipoprotein (a), and the risk of cancer mortality. METHODS: Prospective data was obtained from the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort of Blacks and Whites followed from 2003 through 2012 for cancer mortality. We determined the association between metabolism biomarkers (log-transformed and tertiles) and risk of cancer mortality using Cox Proportional Hazards models with robust sandwich estimators to calculate the 95% confidence intervals (CIs), and adjusted for baseline covariates, including age, gender, income, education, physical activity, BMI, smoking status, alcohol use, and comorbidity score. RESULTS: Among 1764 participants with available biomarker data, each SD higher log-leptin was associated with a 54% reduced risk of total cancer mortality (HR: 0.46, 95% CI: 0.23 – 0.92) and obesity-related cancer mortality (HR: 0.55, 95% CI: 0.39-0.79). Among Blacks only, each SD higher log-resistin was associated with a nearly 7-fold increased risk of cancer mortality (adjusted HR: 6.68, 95% CI: 2.10 – 21.21). There were no significant associations of adiponectin or Lp(a) and cancer mortality. CONCLUSIONS: Leptin is involved in long-term regulation of energy balance, while resistin is involved in chronic inflammation and LDL production. These findings highlight the biological mechanisms linking metabolic dysregulation with cancer mortality, and the influence of resistin on cancer mortality only among Blacks suggests that this hormone may be a useful biomarker of racial differences in cancer mortality that deserves further study. IMPACT: Our observed increased risk of cancer mortality associated with higher serum resistin levels among Blacks suggests that if validated in larger cohorts, clinical strategies focused on resistin control may be a promising cancer prevention strategy. Impact Journals LLC 2018-02-23 /pmc/articles/PMC5882320/ /pubmed/29662629 http://dx.doi.org/10.18632/oncotarget.24559 Text en Copyright: © 2018 Akinyemiju et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (http://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Akinyemiju, Tomi Moore, Justin Xavier Judd, Suzanne E. Pisu, Maria Goodman, Michael Howard, Virginia J. Long, Leann Safford, Monika Gilchrist, Susan C. Cushman, Mary Pre-diagnostic biomarkers of metabolic dysregulation and cancer mortality |
title | Pre-diagnostic biomarkers of metabolic dysregulation and cancer mortality |
title_full | Pre-diagnostic biomarkers of metabolic dysregulation and cancer mortality |
title_fullStr | Pre-diagnostic biomarkers of metabolic dysregulation and cancer mortality |
title_full_unstemmed | Pre-diagnostic biomarkers of metabolic dysregulation and cancer mortality |
title_short | Pre-diagnostic biomarkers of metabolic dysregulation and cancer mortality |
title_sort | pre-diagnostic biomarkers of metabolic dysregulation and cancer mortality |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5882320/ https://www.ncbi.nlm.nih.gov/pubmed/29662629 http://dx.doi.org/10.18632/oncotarget.24559 |
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