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Metabolic abnormalities and survival among patients with non-metastatic breast cancer
BACKGROUND: Research on the impact of metabolic abnormalities on breast cancer prognosis is limited by small samples and assessment of laboratory values at a single time point, often prior to cancer diagnosis and treatment. In this population-based cohort, time-updated laboratory values were adjuste...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9801571/ https://www.ncbi.nlm.nih.gov/pubmed/36581817 http://dx.doi.org/10.1186/s12885-022-10430-9 |
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author | Zimbalist, Alexa S. Caan, Bette J. Chen, Wendy Y. Mittendorf, Elizabeth A. Dillon, Deborah A. R. Quesenberry, Charles Cespedes Feliciano, Elizabeth M. |
author_facet | Zimbalist, Alexa S. Caan, Bette J. Chen, Wendy Y. Mittendorf, Elizabeth A. Dillon, Deborah A. R. Quesenberry, Charles Cespedes Feliciano, Elizabeth M. |
author_sort | Zimbalist, Alexa S. |
collection | PubMed |
description | BACKGROUND: Research on the impact of metabolic abnormalities on breast cancer prognosis is limited by small samples and assessment of laboratory values at a single time point, often prior to cancer diagnosis and treatment. In this population-based cohort, time-updated laboratory values were adjusted for cancer treatment to assess the association between metabolic risk factors (glucose, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides) and breast cancer survival. METHODS: 13,434 women diagnosed with stage I-III breast cancer from 2005-15 at Kaiser Permanente were included. All outpatient fasting glucose, HDL-C, LDL-C, and triglyceride values from diagnosis through 2019 or death were extracted from electronic medical records. Risk of breast cancer-specific mortality was evaluated with Cox proportional hazards models adjusted for metabolic labs, demographics, body mass index, diabetes, dyslipidemia and anti-hypertensive medications, tumor characteristics (stage, ER and HER2 receptor status) and cancer treatment (use of chemotherapy, tamoxifen, and aromatase inhibitors). RESULTS: Mean (SD) age at diagnosis was 62.3 (11.8) years. Over a median follow-up of 8.6 years, 2,876 patients died; 1,080 of breast cancer. Patients with low HDL-C (≤ 45 vs. > 45 mg/dL) had higher breast cancer-specific mortality (HR, 1.77; 95% CI, 1.53-2.05), as did those with elevated fasting glucose (> 99 vs. 60-99 mg/dL) (HR, 1.19; 95% CI, 1.03-1.37). Elevated levels of triglycerides and LDL-C were not associated with breast cancer-specific mortality. CONCLUSIONS: High fasting glucose and low HDL-C evaluated over time after cancer diagnosis were associated with higher breast cancer mortality independent of cancer treatments and changes in other metabolic risk factors. Future studies should address whether pharmacologic or lifestyle treatment of glucose and lipids after breast cancer diagnosis can optimize survival outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10430-9. |
format | Online Article Text |
id | pubmed-9801571 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98015712022-12-31 Metabolic abnormalities and survival among patients with non-metastatic breast cancer Zimbalist, Alexa S. Caan, Bette J. Chen, Wendy Y. Mittendorf, Elizabeth A. Dillon, Deborah A. R. Quesenberry, Charles Cespedes Feliciano, Elizabeth M. BMC Cancer Research BACKGROUND: Research on the impact of metabolic abnormalities on breast cancer prognosis is limited by small samples and assessment of laboratory values at a single time point, often prior to cancer diagnosis and treatment. In this population-based cohort, time-updated laboratory values were adjusted for cancer treatment to assess the association between metabolic risk factors (glucose, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides) and breast cancer survival. METHODS: 13,434 women diagnosed with stage I-III breast cancer from 2005-15 at Kaiser Permanente were included. All outpatient fasting glucose, HDL-C, LDL-C, and triglyceride values from diagnosis through 2019 or death were extracted from electronic medical records. Risk of breast cancer-specific mortality was evaluated with Cox proportional hazards models adjusted for metabolic labs, demographics, body mass index, diabetes, dyslipidemia and anti-hypertensive medications, tumor characteristics (stage, ER and HER2 receptor status) and cancer treatment (use of chemotherapy, tamoxifen, and aromatase inhibitors). RESULTS: Mean (SD) age at diagnosis was 62.3 (11.8) years. Over a median follow-up of 8.6 years, 2,876 patients died; 1,080 of breast cancer. Patients with low HDL-C (≤ 45 vs. > 45 mg/dL) had higher breast cancer-specific mortality (HR, 1.77; 95% CI, 1.53-2.05), as did those with elevated fasting glucose (> 99 vs. 60-99 mg/dL) (HR, 1.19; 95% CI, 1.03-1.37). Elevated levels of triglycerides and LDL-C were not associated with breast cancer-specific mortality. CONCLUSIONS: High fasting glucose and low HDL-C evaluated over time after cancer diagnosis were associated with higher breast cancer mortality independent of cancer treatments and changes in other metabolic risk factors. Future studies should address whether pharmacologic or lifestyle treatment of glucose and lipids after breast cancer diagnosis can optimize survival outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10430-9. BioMed Central 2022-12-29 /pmc/articles/PMC9801571/ /pubmed/36581817 http://dx.doi.org/10.1186/s12885-022-10430-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Zimbalist, Alexa S. Caan, Bette J. Chen, Wendy Y. Mittendorf, Elizabeth A. Dillon, Deborah A. R. Quesenberry, Charles Cespedes Feliciano, Elizabeth M. Metabolic abnormalities and survival among patients with non-metastatic breast cancer |
title | Metabolic abnormalities and survival among patients with non-metastatic breast cancer |
title_full | Metabolic abnormalities and survival among patients with non-metastatic breast cancer |
title_fullStr | Metabolic abnormalities and survival among patients with non-metastatic breast cancer |
title_full_unstemmed | Metabolic abnormalities and survival among patients with non-metastatic breast cancer |
title_short | Metabolic abnormalities and survival among patients with non-metastatic breast cancer |
title_sort | metabolic abnormalities and survival among patients with non-metastatic breast cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9801571/ https://www.ncbi.nlm.nih.gov/pubmed/36581817 http://dx.doi.org/10.1186/s12885-022-10430-9 |
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