15th Annual Symposium Physics of Cancer Leipzig, Germany Sept. 30 - Oct. 2, 2024 |
PoC - Physics of Cancer - Annual Symposium | |||||||||||||||||||||||||||||||||||||||
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Invited Talk
Prostate cancer associated fibroblasts have distinct morpho-mechanical features that are associated with patient outcome
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Prostate cancer (PCa) ranges among the most commonly diagnosed types of cancer and remains
a major health burden worldwide. Despite multiple established therapies, there persists a lack of knowledge of the underlying factors that contribute to disease progression, and clearly better prognostic tools that allow for earlier interventions are needed. A key role in tumor progression has been attributed to the tumor stroma including its cellular components such as cancer associated fibroblasts (CAFs). Here we present a comprehensive study where we quantitatively assessed morpho-mechanical properties of patient-derived prostatic CAFs and matched normal prostatic fibroblasts from a cohort of 35 patients, through a combination of morphometric analysis on microscopy images and real-time deformability cytometry, a high-throughput technique for probing single cell morphological and mechanical properties. We demonstrate that CAFs comprise distinct morphological and mechanical features compared to their normal counterparts, including nuclear size and shape, F-actin cytoskeletal arrangement, as well as cellular volumes and elastic properties. Remarkably, a combined score of afore-mentioned mechanical and morphological parameter was able to distinguish patients with shorter and longer time of clinical relapse. In addition, morpho-mechanical changes across patients were correlated with alterations in cellular components and pathways revealed in transcriptomic datasets. Finally, we show that commonly used clinical drugs and tool compounds interfering with signaling pathways or perturbing single cytoskeletal elements affect the morphological and mechanical properties of CAFs. In summary, our results show that high-throughput assessments of the biophysical properties of stromal components can potentially serve as a complementary tool to predict patient outcome. |