dc.contributor.author |
Craddock, Jenna
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|
dc.contributor.author |
Jiang, Jue
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|
dc.contributor.author |
Patrick, Sean Mark
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dc.contributor.author |
Mutambirwa, Shingai B.A.
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dc.contributor.author |
Stricker, Phillip D.
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dc.contributor.author |
Bornman, Maria S. (Riana)
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dc.contributor.author |
Jaratlerdsiri, Weerachai
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dc.contributor.author |
Hayes, Vanessa M.
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dc.date.accessioned |
2023-10-18T09:08:36Z |
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dc.date.available |
2023-10-18T09:08:36Z |
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dc.date.issued |
2023-07 |
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dc.description |
DATA AVAILABILITY STATEMENT : Data used in this study were published by Jaratlerdsiri et al., 2022, and made accessible via the European Genome-Phenome Archive (EGA; https://ega-archive.org, accessed on 1 June 2022) under study accession EGAS00001006425 and dataset accession EGAD00001009067 (Southern African Prostate Cancer Study, SAPCS) and EGAD00001009066 (Garvan/St. Vincent’s Prostate Cancer Study). |
en_US |
dc.description |
SUPPLEMENTARY MATERIALS : FIGURE S1: Optimal cluster number identification; FIGURE S2: Consensus heatmap for variant data overlapping epigenetic machinery genes based on results from ten multi-omics integrative clustering algorithms with the assigned cluster numbers of (A) k = 3 and (B) k = 8; FIGURE S3: Silhouette plot quantifying Sample Similarity based on results from ten multi-omics integrative clustering algorithms with the assigned cluster numbers of (A) k = 3 and (B) k = 8; FIGURE S4: Mutational burden in African- and European-derived tumors; FIGURE S5: Damaging variant mutational burden in African- and European-derived tumors; TABLE S1: Patient Summary or African and European Study participants; TABLE S2: SuperPaths and their associated pathways
included in this Study for their relationship to epigenetic processes; TABLE S3: List of genes assigned to Epigenetic Process Group 1 (chromatin organization and regulation); TABLE S4: List of genes assigned to Epigenetic Process Group 2 (histone modifications); TABLE S5: List of genes assigned to Epigenetic
Process Group 3 (DNA methylation); TABLE S6: List of genes assigned to Epigenetic Process Group 4 (RNA regulation); TABLE S7: List of genes assigned to Epigenetic Process Group 5 (epigenetic regulation of gene expression); TABLE S8: MOVICS clustering results; TABLE S9: Statistical Summary for tumor mutational burden (per Mb) based on all coding variants in epigenetic machinery genes in African-
and European-derived tumors; TABLE S10: Statistical Summary for tumor mutational burden (per Mb) based only on damaging variants (as per functional impact prediction) in epigenetic machinery genes in African- and European-derived tumors; TABLE S11: Independent test of epigenetic cancer Subtype
(ECS) and Small Somatic mutation to compare mutation frequency; TABLE S12: Independent test of epigenetic cancer Subtype (ECS) and Structural variation to compare Structural variation frequency; TABLE S13: Clinical Summary based on hierarchical clustering results, with epigenetic cancer Subtype
(ECS) as the grouping variable; TABLE S14: Top features, posterior probability, and rank order for joint analysis of Small Somatic mutation, Somatic Structural variant, and Somatic copy number alteration data identified by iClusterBayes; TABLE S15: Clinical Summary based on hierarchical clustering results
for Somatic copy number alteration data only, with epigenetic copy number cancer Subtype (EcnCS) as the grouping variable. |
en_US |
dc.description.abstract |
African ancestry is a significant risk factor for aggressive prostate cancer (PCa), with southern African ethnicity conferring a nearly 3-fold increased global risk for associated mortality. It is well understood that epigenetic alterations drive PCa initiation and progression, coupled with somatic alterations in genes encoding epigenetic enzymes. However, differences in the somatic alterations in these genes in African- versus European-derived prostate tumors and how they may contribute to PCa health disparities has yet to be investigated, which forms the objective of this study. With current PCa care almost exclusively based on and tailored for men of European ancestry, the identification of African-specific novel PCa epigenetic cancer drivers (n = 18), including therapeutic potential (6/18), offers clinical significance with the possibility of improving healthcare approaches and health outcomes for men of African ancestry. |
en_US |
dc.description.abstract |
Prostate cancer is driven by acquired genetic alterations, including those impacting the epigenetic machinery. With African ancestry as a significant risk factor for aggressive disease, we hypothesize that dysregulation among the roughly 656 epigenetic genes may contribute to prostate cancer health disparities. Investigating prostate tumor genomic data from 109 men of southern African and 56 men of European Australian ancestry, we found that African-derived tumors present with a longer tail of epigenetic driver gene candidates (72 versus 10). Biased towards African-specific drivers (63 versus 9 shared), many are novel to prostate cancer (18/63), including several putative therapeutic targets (CHD7, DPF3, POLR1B, SETD1B, UBTF, and VPS72). Through clustering of all variant types and copy number alterations, we describe two epigenetic PCa taxonomies capable of differentiating patients by ancestry and predicted clinical outcomes. We identified the top genes in African- and European-derived tumors representing a multifunctional “generic machinery”, the alteration of which may be instrumental in epigenetic dysregulation and prostate tumorigenesis. In conclusion, numerous somatic alterations in the epigenetic machinery drive prostate carcinogenesis, but African-derived tumors appear to achieve this state with greater diversity among such alterations. The greater novelty observed in African-derived tumors illustrates the significant clinical benefit to be derived from a much needed African-tailored approach to prostate cancer healthcare aimed at reducing prostate cancer health disparities. |
en_US |
dc.description.department |
School of Health Systems and Public Health (SHSPH) |
en_US |
dc.description.librarian |
hj2023 |
en_US |
dc.description.sponsorship |
The US Congressionally Directed Medical Research Programs (CDMRP) Prostate Cancer Research Program (PCRP) Idea Development Award, the Health Equity Research Outcomes Integrity Consortium (HEROIC) Award, the National Health and Medical Research Council (NHMRC) of Australia Project Grant and Ideas Grants, a Cancer Association of South Africa (CANSA) Development Gran, the National Research Foundation of South Africa andthe Petre Foundation, Australia. |
en_US |
dc.description.uri |
https://www.mdpi.com/journal/cancers |
en_US |
dc.identifier.citation |
Craddock, J.; Jiang, J.;
Patrick, S.M.; Mutambirwa, S.B.A.;
Stricker, P.D.; Bornman, M.S.R.;
Jaratlerdsiri, W.; Hayes, V.M.
Alterations in the Epigenetic
Machinery Associated with Prostate
Cancer Health Disparities. Cancers
2023, 15, 3462. https://doi.org/10.3390/cancers15133462. |
en_US |
dc.identifier.issn |
2072-6694 (online) |
|
dc.identifier.other |
10.3390/cancers15133462 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/92978 |
|
dc.language.iso |
en |
en_US |
dc.publisher |
MDPI |
en_US |
dc.rights |
© 2023 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/). |
en_US |
dc.subject |
Prostate cancer |
en_US |
dc.subject |
Somatic alteration |
en_US |
dc.subject |
Epigenomics |
en_US |
dc.subject |
Epigenetic machinery |
en_US |
dc.subject |
African ancestry |
en_US |
dc.subject |
Southern Africa |
en_US |
dc.subject |
Health disparity |
en_US |
dc.title |
Alterations in the epigenetic machinery associated with prostate cancer health disparities |
en_US |
dc.type |
Article |
en_US |