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Hospital Rurality and Gene Expression Profiling for Early-Stage Breast Cancer among Iowa Residents (2010–2018)

OBJECTIVE: Given the challenges rural cancer patients face in accessing cancer care as well as the slower diffusion and adoption of new medical technologies among rural providers, the aim of our study was to examine trends in gene expression profiling (GEP) testing and evaluate the association betwe...

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Autores principales: Riley, Danielle, Charlton, Mary, Chrischilles, Elizabeth A., Lizarraga, Ingrid M., Phadke, Sneha, Smith, Brian J., Skibbe, Adam, Lynch, Charles F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448596/
https://www.ncbi.nlm.nih.gov/pubmed/36111211
http://dx.doi.org/10.1155/2022/8582894
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author Riley, Danielle
Charlton, Mary
Chrischilles, Elizabeth A.
Lizarraga, Ingrid M.
Phadke, Sneha
Smith, Brian J.
Skibbe, Adam
Lynch, Charles F.
author_facet Riley, Danielle
Charlton, Mary
Chrischilles, Elizabeth A.
Lizarraga, Ingrid M.
Phadke, Sneha
Smith, Brian J.
Skibbe, Adam
Lynch, Charles F.
author_sort Riley, Danielle
collection PubMed
description OBJECTIVE: Given the challenges rural cancer patients face in accessing cancer care as well as the slower diffusion and adoption of new medical technologies among rural providers, the aim of our study was to examine trends in gene expression profiling (GEP) testing and evaluate the association between hospital rurality and receipt of GEP testing. METHODS: Data from the Iowa Cancer Registry (ICR) were used to identify women with newly diagnosed, histologically confirmed breast cancer from 2010 through 2018 who met eligibility criteria for GEP testing. Patients were allocated to the hospitals where their most definitive surgical treatment was received, and Rural-Urban Commuting Area codes were used to categorize hospitals into urban (N = 43), large rural (N = 16), and small rural (N = 48). Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were estimated using multivariable logistic regression to evaluate the association between hospital rurality and GEP test use, adjusting for demographic and clinical characteristics. The association between test result and treatment received was assessed among patients who received Oncotype DX (ODX) testing. RESULTS: Of 6,726 patients eligible for GEP test use, 46% (N = 3,069) underwent testing with 95% receiving ODX. While overall GEP testing rates increased over time from 42% between 2010 and 2012 to 51% between 2016 and 2018 (P(trend) < 0.0001), use continued to be the lowest among patients treated at hospitals in small rural areas. The odds of GEP testing remained significantly lower among patients treated at hospitals located in small rural areas (aOR 0.55; 95% CI 0.43–0.71), after adjusting for demographic and clinical characteristics. ODX recurrence scores were highly correlated with chemotherapy use across all strata of hospital rurality. CONCLUSIONS: GEP testing continues to be underutilized, especially among those treated at small rural hospitals. Targeted interventions aimed at increasing rates of GEP testing to ensure the appropriate use of adjuvant chemotherapy may improve health outcomes and lower treatment-related costs.
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spelling pubmed-94485962022-09-14 Hospital Rurality and Gene Expression Profiling for Early-Stage Breast Cancer among Iowa Residents (2010–2018) Riley, Danielle Charlton, Mary Chrischilles, Elizabeth A. Lizarraga, Ingrid M. Phadke, Sneha Smith, Brian J. Skibbe, Adam Lynch, Charles F. Breast J Research Article OBJECTIVE: Given the challenges rural cancer patients face in accessing cancer care as well as the slower diffusion and adoption of new medical technologies among rural providers, the aim of our study was to examine trends in gene expression profiling (GEP) testing and evaluate the association between hospital rurality and receipt of GEP testing. METHODS: Data from the Iowa Cancer Registry (ICR) were used to identify women with newly diagnosed, histologically confirmed breast cancer from 2010 through 2018 who met eligibility criteria for GEP testing. Patients were allocated to the hospitals where their most definitive surgical treatment was received, and Rural-Urban Commuting Area codes were used to categorize hospitals into urban (N = 43), large rural (N = 16), and small rural (N = 48). Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were estimated using multivariable logistic regression to evaluate the association between hospital rurality and GEP test use, adjusting for demographic and clinical characteristics. The association between test result and treatment received was assessed among patients who received Oncotype DX (ODX) testing. RESULTS: Of 6,726 patients eligible for GEP test use, 46% (N = 3,069) underwent testing with 95% receiving ODX. While overall GEP testing rates increased over time from 42% between 2010 and 2012 to 51% between 2016 and 2018 (P(trend) < 0.0001), use continued to be the lowest among patients treated at hospitals in small rural areas. The odds of GEP testing remained significantly lower among patients treated at hospitals located in small rural areas (aOR 0.55; 95% CI 0.43–0.71), after adjusting for demographic and clinical characteristics. ODX recurrence scores were highly correlated with chemotherapy use across all strata of hospital rurality. CONCLUSIONS: GEP testing continues to be underutilized, especially among those treated at small rural hospitals. Targeted interventions aimed at increasing rates of GEP testing to ensure the appropriate use of adjuvant chemotherapy may improve health outcomes and lower treatment-related costs. Hindawi 2022-08-30 /pmc/articles/PMC9448596/ /pubmed/36111211 http://dx.doi.org/10.1155/2022/8582894 Text en Copyright © 2022 Danielle Riley 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
Riley, Danielle
Charlton, Mary
Chrischilles, Elizabeth A.
Lizarraga, Ingrid M.
Phadke, Sneha
Smith, Brian J.
Skibbe, Adam
Lynch, Charles F.
Hospital Rurality and Gene Expression Profiling for Early-Stage Breast Cancer among Iowa Residents (2010–2018)
title Hospital Rurality and Gene Expression Profiling for Early-Stage Breast Cancer among Iowa Residents (2010–2018)
title_full Hospital Rurality and Gene Expression Profiling for Early-Stage Breast Cancer among Iowa Residents (2010–2018)
title_fullStr Hospital Rurality and Gene Expression Profiling for Early-Stage Breast Cancer among Iowa Residents (2010–2018)
title_full_unstemmed Hospital Rurality and Gene Expression Profiling for Early-Stage Breast Cancer among Iowa Residents (2010–2018)
title_short Hospital Rurality and Gene Expression Profiling for Early-Stage Breast Cancer among Iowa Residents (2010–2018)
title_sort hospital rurality and gene expression profiling for early-stage breast cancer among iowa residents (2010–2018)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448596/
https://www.ncbi.nlm.nih.gov/pubmed/36111211
http://dx.doi.org/10.1155/2022/8582894
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