Predicting prostate-cancer-specific death: Is it in the cancer?

Ayala, Gustavo; Miles, B. J.; Freund, Christian T.F.; Li, R.; Frolov, Anna; Ittmann, Michael; Kadmon, Dov; Scardino, Peter T.; Wheeler, TK; Rowley, D.

doi:10.1200/jco.2010.28.15_suppl.4500

Cited by 2 publications

(2 citation statements)

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“…The work of Bissel’s group was the first to identify the presence of myofibroblasts in breast cancer [62]. The identification of myofibroblasts in prostate cancer [80, 81] subsequently led to the study of their role in disease progression and the idea that an increased ratio of myofibroblasts to normal fibroblasts was predictive of disease recurrence [82]. Most cancer models that study the effect of the stromal microenvironment on tumorigenesis use clonal populations of fibroblasts.…”

Section: Stromal-epithelial Interactions In Adult Organsmentioning

confidence: 99%

Perspectives on Tissue Interactions in Development and Disease

Strand¹,

Franco²,

Basanta³

et al. 2010

CMM

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From the morphogenetic movements of the three germ layers during development to the reactive stromal microenvironment in cancer, tissue interactions are vital to maintaining healthy organ morphologic architecture and function. The stromal compartment is thought to be complicit in tumor progression and, as such, represents an opportune target for disease therapies. However, recent developments in our understanding of the diversity of the stromal compartment and the lack of appropriate models to study its relevance in human disease have limited our further understanding of the role of tissue interactions in tumor progression. The failure of any model to fully recapitulate the complexities of systemic biology continues to create a higher imperative for incorporating various perspectives into a broader understanding for the ultimate goal of designing interventional therapies. Understanding this potential, this review examines the biological models used to study stromal-epithelial interactions and includes an attempt to incorporate behavioral terminology to define and mathematically model ecological relationships in stromal-epithelial interactions. In addition, the current attempt to incorporate these diverse ecological perspectives into in silico mathematical models through cross-disciplinary coordination is reviewed, which will provide a fresh perspective on defining cell group behavior and tissue ecology in disease and hopefully lead to the generation of new hypotheses to be empirically validated.

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Section: Stromal-epithelial Interactions In Adult Organsmentioning

confidence: 99%

Perspectives on Tissue Interactions in Development and Disease

Strand¹,

Franco²,

Basanta³

et al. 2010

CMM

View full text Add to dashboard Cite

show abstract

“…The interactions between cancer-associated fibroblasts (CAFs) and tumor cells, as well as tumor-infiltrating immune cells, have been identified as key factors in promoting tumor progression (26). In the study conducted by Chen et al, it was observed that ACTA2, a gene encoding actin proteins, which was reported to be decreased in CAFs of PCa due to changes in stromal composition (27), exhibited abundant expression in CAFs. Through correlation analysis, researchers suggested its association with EMT (20).…”

Section: Primary Prostate Tumorsmentioning

confidence: 99%

Unveiling novel insights in prostate cancer through single-cell RNA sequencing

Yu,

Wang,

Shang

et al. 2023

Front. Oncol.

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Single-cell RNA sequencing (scRNA-seq) is a cutting-edge technology that provides insights at the individual cell level. In contrast to traditional bulk RNA-seq, which captures gene expression at an average level and may overlook important details, scRNA-seq examines each individual cell as a fundamental unit and is particularly well-suited for identifying rare cell populations. Analogous to a microscope that distinguishes various cell types within a tissue sample, scRNA-seq unravels the heterogeneity and diversity within a single cell species, offering great potential as a leading sequencing method in the future. In the context of prostate cancer (PCa), a disease characterized by significant heterogeneity and multiple stages of progression, scRNA-seq emerges as a powerful tool for uncovering its intricate secrets.

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Predicting prostate-cancer-specific death: Is it in the cancer?

Cited by 2 publications

References 0 publications

Perspectives on Tissue Interactions in Development and Disease

Perspectives on Tissue Interactions in Development and Disease

Unveiling novel insights in prostate cancer through single-cell RNA sequencing

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