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Updated: Apr 18, 2026

A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer
Published on: March 6, 2018
Intersection of phenotypic plasticity and anoikis enhances therapeutic vulnerability in prostate cancer
Maria Kouspou1, Alec Zhu1, Lauren Martires2
1Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY 10029 , USA.
Abstract:
During cancer metastasis, tumor cells survive in circulation by acquiring resistance to anoikis. Restoring vulnerability of cancer cells to anoikis can impair metastatic colonization, minimize treatment resistance, and tumor recurrence in patients. A compelling body of evidence has identified strategies for the development of effective inhibitors that can block survival pathways such as FAK, PI3K/AKT, MAPK and integrin signaling to prevent prostate cancer cells from leaving the primary tumor/site and/or to impair their colonization at secondary sites. Transcriptomic profiling recently identified anoikis-centered genes, including CDKN1A, NEDD9, CFL1, and JAM2, that may have potential prognostic value in prostate cancer progression and may also contribute to the emergence of therapeutic resistance to antiandrogens and taxane chemotherapy. Direct cytoskeletal remodeling by cofilin, a transforming growth factor-β (TGF-β) effector is linked to phenotypic plasticity changes. NEDD9 causes cytoskeletal dynamics through signaling pathways and it is correlated with tumor aggressiveness. CDKN1A affects cell cycle regulation, and JAM2 influences cell adhesion. This review interrogates the current evidence in the literature on the cellular drivers of anoikis resistance, intersecting with phenotypic plasticity in the prostate tumor microenvironment, toward determination of the underlying molecular mechanisms that can be exploited at the translational level for therapeutic applications. The identification and subsequent validation of novel anoikis-resistance based signatures can be of potential value as predictive markers of therapy resistance and tumor recurrence in patients with advanced prostate cancer.
Insights
Targeting anoikis resistance in prostate cancer can prevent metastasis and recurrence. Understanding molecular drivers like CDKN1A and NEDD9 offers new therapeutic strategies against treatment resistance.
Area of Science:
- Oncology
- Molecular Biology
- Cancer Metastasis Research
Background:
- Cancer cells develop anoikis (apoptosis triggered by detachment) resistance to survive circulation during metastasis.
- Anoikis resistance is linked to treatment resistance and tumor recurrence in prostate cancer patients.
- Key signaling pathways (FAK, PI3K/AKT, MAPK, integrin) and genes (CDKN1A, NEDD9, CFL1, JAM2) are implicated in anoikis resistance and prostate cancer progression.
Purpose of the Study:
- To review current literature on cellular drivers of anoikis resistance in prostate cancer.
- To explore the intersection of anoikis resistance and phenotypic plasticity within the tumor microenvironment.
- To identify molecular mechanisms exploitable for therapeutic applications and predictive marker development.
Main Methods:
- Literature review of studies on anoikis resistance, phenotypic plasticity, and prostate cancer.
- Analysis of transcriptomic data identifying anoikis-centered genes.
- Interrogation of molecular pathways involved in cytoskeletal remodeling and cell cycle regulation.
Main Results:
- Anoikis resistance is a critical factor in cancer cell survival during metastasis.
- Genes like CDKN1A, NEDD9, CFL1, and JAM2 show prognostic value and correlate with therapeutic resistance.
- Molecular mechanisms involving cytoskeletal dynamics (cofilin, NEDD9) and cell cycle regulation (CDKN1A) are central to anoikis resistance.
Conclusions:
- Targeting anoikis resistance pathways presents a promising therapeutic strategy for advanced prostate cancer.
- Anoikis-resistance based signatures may serve as predictive markers for therapy resistance and recurrence.
- Further research into these molecular mechanisms can lead to novel translational applications for improved patient outcomes.
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