Robert D. Arnold

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Secretory Phospholipases sPLA2 and their Receptors for Delivering Nanoparticles

Open Date: 2013-01-01

Close Date: 2017-12-31

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sPLA2 Selective Degradation of Nanoparticles

Open Date: 2009-06-01

Close Date: 2012-05-31

Articles (11)

Year:

2023

Year:

2023

To investigate the ratiometric role of fibroblasts in prostate cancer (PCa) progression, this work establishes a matrix‐inclusive, 3D engineered prostate cancer tissue (EPCaT) model that enables direct coculture of neuroendocrine‐variant castration‐resistant (CPRC‐ne) or androgen‐dependent (ADPC) PCa cells with tumor‐supporting stromal cell types. Results show that the inclusion of fibroblasts within CRPC‐ne and ADPC EPCaTs drives PCa aggression through significant matrix remodeling and increased proliferative cell populations. Interestingly, this is observed to a much greater degree in EPCaTs formed with a small number of fibroblasts relative to the number of PCa cells. Fibroblast coculture also results in ADPC behavior more similar to the aggressive CRPC‐ne condition, suggesting fibroblasts play a role in elevating PCa disease state and may contribute to the ADPC to CRPC‐ne switch. Bulk transcriptomic analyses additionally elucidate fibroblast‐driven enrichment of hallmark gene sets associated with tumorigenic progression. Finally, the EPCaT model clinical relevancy is probed through a comparison to the Cancer Genome Atlas (TCGA) PCa patient cohort; notably, similar gene set enrichment is observed between EPCaT models and the patient primary tumor transcriptome. Taken together, study results demonstrate the potential of the EPCaT model to serve as a PCa‐mimetic tool in future therapeutic development efforts.

Year:

2023

Prostate cancer is the second leading cause of noncutaneous cancer-related deaths in American men. Androgen deprivation therapy (ADT), radical prostatectomy, and radiotherapy remain the primary treatment for patients with early-stage prostate cancer (castration-sensitive prostate cancer). Following ADT, many patients ultimately develop metastatic castration-resistant prostate cancer (mCRPC). Standard chemotherapy options for CRPC are docetaxel (DTX) and cabazitaxel, which increase median survival, although the development of resistance is common. Cancer stem-like cells possess mesenchymal phenotypes [epithelial-to-mesenchymal transition (EMT)] and play crucial roles in tumor initiation and progression of mCRPC. We have shown that low-dose continuous administration of topotecan (METRO-TOPO) inhibits prostate cancer growth by interfering with key cancer pathway genes. This study utilized bulk and single-cell or whole-transcriptome analysis [(RNA sequencing (RNA-seq) and single-cell RNA sequencing (scRNA-seq)], and we observed greater expression of several EMT markers, including Vimentin, hyaluronan synthase-3, S100 calcium binding protein A6, TGFB1, CD44, CD55, and CD109 in European American and African American aggressive variant prostate cancer (AVPC) subtypes—mCRPC, neuroendocrine variant (NEPC), and taxane-resistant. The taxane-resistant gene FSCN1 was also expressed highly in single-cell subclonal populations in mCRPC. Furthermore, metronomic-topotecan single agent and combinations with DTX downregulated these EMT markers as well as CD44+ and CD44+/CD133+ “stem-like” cell populations. A microfluidic chip-based cell invasion assay revealed that METRO-TOPO treatment as a single agent or in combination with DTX was potentially effective against invasive prostate cancer spread. Our RNA-seq and scRNA-seq analysis were supported by in silico and in vitro studies, suggesting METRO-TOPO combined with DTX may inhibit oncogenic progression by reducing cancer stemness in AVPC through the inhibition of EMT markers and multiple oncogenic factors/pathways. Significance: The utilization of metronomic-like dosing regimens of topotecan alone and in combination with DTX resulted in the suppression of makers associated with EMT and stem-like cell populations in AVPC models. The identification of molecular signatures and their potential to serve as novel biomarkers for monitoring treatment efficacy and disease progression response to treatment efficacy and disease progression were achieved using bulk RNA-seq and single-cell-omics methodologies.

Year:

2023

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2023

Year:

2023

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2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (11)

Oladiran Fasina

Department Head

Auburn University

UNITED STATES
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AMIT MITRA

ASSISTANT PROFESSOR

-

UNITED STATES
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Nicole Habbit

Auburn University

UNITED STATES
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Peter Panizzi

Professor

Auburn University

UNITED STATES
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Rajesh Amin

Auburn University

UNITED STATES
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Sai H. S. Boddu

-

UNITED ARAB EMIRATES
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R. Jayachandra Babu

Professor

Auburn University

UNITED STATES
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Vijaya Rangari

Tuskegee University

UNITED STATES
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Panagiotis Mistriotis

Assistant Professor

Auburn University

UNITED STATES
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Muralikrishnan Dhanasekaran

-

UNITED STATES
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Elizabeth A. Lipke

-

UNITED STATES
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