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Variation in Molecularly Defined Prostate Tumor Subtypes by Self-identified Race
BACKGROUND: Socioeconomic and health care utilization factors are major drivers of prostate cancer (PC) mortality disparities in the USA; however, tumor molecular heterogeneity may also contribute to the higher mortality among Black men. OBJECTIVE: To compare differences in PC subtype frequency and...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142751/ https://www.ncbi.nlm.nih.gov/pubmed/35638091 http://dx.doi.org/10.1016/j.euros.2022.03.014 |
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author | Kensler, Kevin H. Awasthi, Shivanshu Alshalalfa, Mohamed Trock, Bruce J. Freedland, Stephen J. Freeman, Michael R. You, Sungyong Mahal, Brandon A. Den, Robert B. Dicker, Adam P. Karnes, R. Jeffrey Klein, Eric A. Lal, Priti Liu, Yang Davicioni, Elai Rayford, Walter Yamoah, Kosj Rebbeck, Timothy R. |
author_facet | Kensler, Kevin H. Awasthi, Shivanshu Alshalalfa, Mohamed Trock, Bruce J. Freedland, Stephen J. Freeman, Michael R. You, Sungyong Mahal, Brandon A. Den, Robert B. Dicker, Adam P. Karnes, R. Jeffrey Klein, Eric A. Lal, Priti Liu, Yang Davicioni, Elai Rayford, Walter Yamoah, Kosj Rebbeck, Timothy R. |
author_sort | Kensler, Kevin H. |
collection | PubMed |
description | BACKGROUND: Socioeconomic and health care utilization factors are major drivers of prostate cancer (PC) mortality disparities in the USA; however, tumor molecular heterogeneity may also contribute to the higher mortality among Black men. OBJECTIVE: To compare differences in PC subtype frequency and genomic aggressiveness by self-identified race. DESIGN, SETTING, AND PARTICIPANTS: Five molecular subtype classifiers were applied for 426 Black and 762 White PC patients in the Decipher Genomics Resource Information Database (GRID). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Differences in subtype frequency and tumor genomic risk (Decipher score >0.6) by race were evaluated using χ(2) tests and multivariable-adjusted logistic regression models. RESULTS AND LIMITATIONS: Subtype frequencies differed by race for four classifiers. Subtypes characterized by the presence of SPOP mutations, SPINK1 overexpression, and neuroendocrine differentiation were more common among Black men. ERG and ETS fusion-positive subtypes were more frequent among White men, with no clear differences for subtypes reflecting luminal versus basal lineage. The hypothesized low-risk Kamoun S2 subtype was associated with a lower Decipher score among White men only (p = 0.01 for heterogeneity), while the aggressive You PCS1 subtype was associated with a higher Decipher score among White men only (p = 0.001 for heterogeneity). The Tomlins ERG(+) subtype was associated with a higher Decipher score relative to all other subtypes among Black men, with no association among White men (p = 0.007 for heterogeneity). CONCLUSIONS: The frequency of PC molecular subtypes differed by self-identified race. Additional studies are required to evaluate whether our observations suggest differences in the tumor genomic risk of progression by self-identified race. PATIENT SUMMARY: We studied five classifiers that identify subtypes of prostate tumors and found that subtypes differed in frequency between Black and White patients. Further research is warranted to evaluate how differences in tumor subtypes may contribute to disparities in prostate cancer mortality. |
format | Online Article Text |
id | pubmed-9142751 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-91427512022-05-29 Variation in Molecularly Defined Prostate Tumor Subtypes by Self-identified Race Kensler, Kevin H. Awasthi, Shivanshu Alshalalfa, Mohamed Trock, Bruce J. Freedland, Stephen J. Freeman, Michael R. You, Sungyong Mahal, Brandon A. Den, Robert B. Dicker, Adam P. Karnes, R. Jeffrey Klein, Eric A. Lal, Priti Liu, Yang Davicioni, Elai Rayford, Walter Yamoah, Kosj Rebbeck, Timothy R. Eur Urol Open Sci Prostate Cancer BACKGROUND: Socioeconomic and health care utilization factors are major drivers of prostate cancer (PC) mortality disparities in the USA; however, tumor molecular heterogeneity may also contribute to the higher mortality among Black men. OBJECTIVE: To compare differences in PC subtype frequency and genomic aggressiveness by self-identified race. DESIGN, SETTING, AND PARTICIPANTS: Five molecular subtype classifiers were applied for 426 Black and 762 White PC patients in the Decipher Genomics Resource Information Database (GRID). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Differences in subtype frequency and tumor genomic risk (Decipher score >0.6) by race were evaluated using χ(2) tests and multivariable-adjusted logistic regression models. RESULTS AND LIMITATIONS: Subtype frequencies differed by race for four classifiers. Subtypes characterized by the presence of SPOP mutations, SPINK1 overexpression, and neuroendocrine differentiation were more common among Black men. ERG and ETS fusion-positive subtypes were more frequent among White men, with no clear differences for subtypes reflecting luminal versus basal lineage. The hypothesized low-risk Kamoun S2 subtype was associated with a lower Decipher score among White men only (p = 0.01 for heterogeneity), while the aggressive You PCS1 subtype was associated with a higher Decipher score among White men only (p = 0.001 for heterogeneity). The Tomlins ERG(+) subtype was associated with a higher Decipher score relative to all other subtypes among Black men, with no association among White men (p = 0.007 for heterogeneity). CONCLUSIONS: The frequency of PC molecular subtypes differed by self-identified race. Additional studies are required to evaluate whether our observations suggest differences in the tumor genomic risk of progression by self-identified race. PATIENT SUMMARY: We studied five classifiers that identify subtypes of prostate tumors and found that subtypes differed in frequency between Black and White patients. Further research is warranted to evaluate how differences in tumor subtypes may contribute to disparities in prostate cancer mortality. Elsevier 2022-04-26 /pmc/articles/PMC9142751/ /pubmed/35638091 http://dx.doi.org/10.1016/j.euros.2022.03.014 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Prostate Cancer Kensler, Kevin H. Awasthi, Shivanshu Alshalalfa, Mohamed Trock, Bruce J. Freedland, Stephen J. Freeman, Michael R. You, Sungyong Mahal, Brandon A. Den, Robert B. Dicker, Adam P. Karnes, R. Jeffrey Klein, Eric A. Lal, Priti Liu, Yang Davicioni, Elai Rayford, Walter Yamoah, Kosj Rebbeck, Timothy R. Variation in Molecularly Defined Prostate Tumor Subtypes by Self-identified Race |
title | Variation in Molecularly Defined Prostate Tumor Subtypes by Self-identified Race |
title_full | Variation in Molecularly Defined Prostate Tumor Subtypes by Self-identified Race |
title_fullStr | Variation in Molecularly Defined Prostate Tumor Subtypes by Self-identified Race |
title_full_unstemmed | Variation in Molecularly Defined Prostate Tumor Subtypes by Self-identified Race |
title_short | Variation in Molecularly Defined Prostate Tumor Subtypes by Self-identified Race |
title_sort | variation in molecularly defined prostate tumor subtypes by self-identified race |
topic | Prostate Cancer |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142751/ https://www.ncbi.nlm.nih.gov/pubmed/35638091 http://dx.doi.org/10.1016/j.euros.2022.03.014 |
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