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Association of Common Medications and the Risk of Early-Onset Gastric Cancer: A Population-Based Matched Study

BACKGROUND: Early-onset gastric cancer (EOGC, age ≤ 60 years at diagnosis) now comprises >30% of new gastric cancers in the United States. It is hypothesized that chronic acid suppression with proton-pump inhibitors (PPIs) may promote tumorigenesis, while other medications including statins, nons...

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Autores principales: MacArthur, Taleen A., Harmsen, William Scott, Mandrekar, Jay, Abraha, Feven, Grotz, Travis E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8660238/
https://www.ncbi.nlm.nih.gov/pubmed/34899912
http://dx.doi.org/10.1155/2021/2670502
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author MacArthur, Taleen A.
Harmsen, William Scott
Mandrekar, Jay
Abraha, Feven
Grotz, Travis E.
author_facet MacArthur, Taleen A.
Harmsen, William Scott
Mandrekar, Jay
Abraha, Feven
Grotz, Travis E.
author_sort MacArthur, Taleen A.
collection PubMed
description BACKGROUND: Early-onset gastric cancer (EOGC, age ≤ 60 years at diagnosis) now comprises >30% of new gastric cancers in the United States. It is hypothesized that chronic acid suppression with proton-pump inhibitors (PPIs) may promote tumorigenesis, while other medications including statins, nonsteroidal anti-inflammatory drugs (NSAIDs), metformin, and cyclooxygenase-2 (COX-2) inhibitors have been proposed as protective. We aimed to assess for an association between use of the aforementioned commonly prescribed medications and EOGC development. METHODS: We used a population-based medical record linkage system, to identify cases of EOGC in Olmsted County, Minnesota, between January 1, 1995, and December 31, 2020. Patients were matched 1 : 1 with controls based on age at diagnosis, sex, smoking status, and body mass index (BMI). Conditional logistic regression was used to examine associations with the odds of EOGC development. RESULTS: Ninety-six cases of EOGC were identified during the study period. On both univariate and multivariate regression analysis, there was no significant association between use of PPIs, statins, NSAIDs, or metformin and EOGC development. In a final multivariable model, there was a significant reduction in odds of EOGC with COX-2 inhibitor use for six months or more prior to cancer diagnosis (OR = 0.39, 95% CI 0.16-0.94). CONCLUSION: In this retrospective, population-based study of individuals in Olmsted County, MN, we found significantly reduced odds of EOGC development associated with COX-2 inhibitor use for six months or more prior to diagnosis, but no association between EOGC development and use of PPIs and other commonly prescribed medications.
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spelling pubmed-86602382021-12-10 Association of Common Medications and the Risk of Early-Onset Gastric Cancer: A Population-Based Matched Study MacArthur, Taleen A. Harmsen, William Scott Mandrekar, Jay Abraha, Feven Grotz, Travis E. J Cancer Epidemiol Research Article BACKGROUND: Early-onset gastric cancer (EOGC, age ≤ 60 years at diagnosis) now comprises >30% of new gastric cancers in the United States. It is hypothesized that chronic acid suppression with proton-pump inhibitors (PPIs) may promote tumorigenesis, while other medications including statins, nonsteroidal anti-inflammatory drugs (NSAIDs), metformin, and cyclooxygenase-2 (COX-2) inhibitors have been proposed as protective. We aimed to assess for an association between use of the aforementioned commonly prescribed medications and EOGC development. METHODS: We used a population-based medical record linkage system, to identify cases of EOGC in Olmsted County, Minnesota, between January 1, 1995, and December 31, 2020. Patients were matched 1 : 1 with controls based on age at diagnosis, sex, smoking status, and body mass index (BMI). Conditional logistic regression was used to examine associations with the odds of EOGC development. RESULTS: Ninety-six cases of EOGC were identified during the study period. On both univariate and multivariate regression analysis, there was no significant association between use of PPIs, statins, NSAIDs, or metformin and EOGC development. In a final multivariable model, there was a significant reduction in odds of EOGC with COX-2 inhibitor use for six months or more prior to cancer diagnosis (OR = 0.39, 95% CI 0.16-0.94). CONCLUSION: In this retrospective, population-based study of individuals in Olmsted County, MN, we found significantly reduced odds of EOGC development associated with COX-2 inhibitor use for six months or more prior to diagnosis, but no association between EOGC development and use of PPIs and other commonly prescribed medications. Hindawi 2021-12-02 /pmc/articles/PMC8660238/ /pubmed/34899912 http://dx.doi.org/10.1155/2021/2670502 Text en Copyright © 2021 Taleen A. MacArthur et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
MacArthur, Taleen A.
Harmsen, William Scott
Mandrekar, Jay
Abraha, Feven
Grotz, Travis E.
Association of Common Medications and the Risk of Early-Onset Gastric Cancer: A Population-Based Matched Study
title Association of Common Medications and the Risk of Early-Onset Gastric Cancer: A Population-Based Matched Study
title_full Association of Common Medications and the Risk of Early-Onset Gastric Cancer: A Population-Based Matched Study
title_fullStr Association of Common Medications and the Risk of Early-Onset Gastric Cancer: A Population-Based Matched Study
title_full_unstemmed Association of Common Medications and the Risk of Early-Onset Gastric Cancer: A Population-Based Matched Study
title_short Association of Common Medications and the Risk of Early-Onset Gastric Cancer: A Population-Based Matched Study
title_sort association of common medications and the risk of early-onset gastric cancer: a population-based matched study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8660238/
https://www.ncbi.nlm.nih.gov/pubmed/34899912
http://dx.doi.org/10.1155/2021/2670502
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