Analysis of the Chromatin Accessibility Landscape in Patients with Localized Prostate Cancer
German Beatriz, Ho Kun-Lin, Truong Tri, Garbarino Jennifer, Ali Amina1, Azdze William, Elsamanoudi Sally, Ng Colin, Chesnut Gregory, Ellis Leigh
Significant group-based variation in prostate cancer (PCa) outcomes remains a major global health challenge. African American (AA) men have the highest incidence and approximately double the mortality of Caucasian American (CA) men. Although disparities in healthcare access contribute, worse outcomes persist even with comparable care, suggesting biological differences in tumor behavior. While emerging studies have begun to define epigenomic alterations in PCa, the contribution of large-scale chromatin remodeling to population-level outcome differences remains unclear.
To address this, we profiled localized PCa from AA and CA men using single-cell spatial ATAC-seq and H3K27ac spatial CUT&Tag on prostatectomy specimens from the Center for Prostate Disease Research/Walter Reed National Military Medical Center. Machine learning – based annotation (Cellcano) enabled identification of lineage-specific chromatin states. Furthermore, AA demonstrated significant lower accessible chromatin associated with CCCTCbinding factor (CTCF) which is a critical zinc finger protein crucial for regulating gene expression, epigenetic marks, and maintaining 3‑dimensional genome structure.
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We have validated this finding by CTCF immunohistochemistry in an independent TMA that includes 99 patients with distribution of CA and AA prostatectomy samples. Moreover, integration of H3K27ac profiling revealed several differentially regulated enhancer regions near specific genes across samples. Collectively, our current findings provide critical insights into the divergent chromatin accessibility profiles between AA and CA men with localized PCa, which likely underlie distinct transcriptional responses that can determine therapeutic resistance and tumor progression.
These data shed light on the complex epigenomic mechanisms driving the group-based variations in PCa outcomes and may inform the development better treatment strategies.
German Beatriz, Ho Kun-Lin, Truong Tri, Garbarino Jennifer, Ali Amina1, Azdze William, Elsamanoudi Sally, Ng Colin, Chesnut Gregory, Ellis Leigh
Significant group-based variation in prostate cancer (PCa) outcomes remains a major global health challenge. African American (AA) men have the highest incidence and approximately double the mortality of Caucasian American (CA) men. Although disparities in healthcare access contribute, worse outcomes persist even with comparable care, suggesting biological differences in tumor behavior. While emerging studies have begun to define epigenomic alterations in PCa, the contribution of large-scale chromatin remodeling to population-level outcome differences remains unclear.
Show more
To address this, we profiled localized PCa from AA and CA men using single-cell spatial ATAC-seq and H3K27ac spatial CUT&Tag on prostatectomy specimens from the Center for Prostate Disease Research/Walter Reed National Military Medical Center. Machine learning – based annotation (Cellcano) enabled identification of lineage-specific chromatin states. Furthermore, AA demonstrated significant lower accessible chromatin associated with CCCTCbinding factor (CTCF) which is a critical zinc finger protein crucial for regulating gene expression, epigenetic marks, and maintaining 3‑dimensional genome structure.
We have validated this finding by CTCF immunohistochemistry in an independent TMA that includes 99 patients with distribution of CA and AA prostatectomy samples. Moreover, integration of H3K27ac profiling revealed several differentially regulated enhancer regions near specific genes across samples. Collectively, our current findings provide critical insights into the divergent chromatin accessibility profiles between AA and CA men with localized PCa, which likely underlie distinct transcriptional responses that can determine therapeutic resistance and tumor progression.
These data shed light on the complex epigenomic mechanisms driving the group-based variations in PCa outcomes and may inform the development better treatment strategies.
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