About this Research Topic
Prostate cancer is the most commonly diagnosed cancer and the second leading cause of cancer-associated mortalities in men in the United States. The first line of treatment for men with advanced prostate cancer is androgen ablation therapy. While initial responses are observed, unfortunately, the disease commonly recurs in its lethal metastatic form referred to as castration-resistant prostate cancer (CRPC). Although adenocarcinoma is the predominant histological subtype of CRPC, heavily treated tumors, particularly those treated with secondary hormone therapies, frequently acquire a neuroendocrine phenotype (neuroendocrine prostate cancer, NEPC), which currently accounts for 15-20% of CRPC and is commonly characterized by resistance to androgen deprivation therapies and an aggressive clinical course. Current therapies for CRPC including second-generation anti-androgens, chemotherapeutic agents such as taxanes, targeted therapies, and immunotherapy improve the median overall survival by only a few months.
Currently, there are two major clinical challenges in prostate cancer: distinguishing the patients who may benefit from treatments from patients who should not be treated but rather managed with active surveillance, and developing new and more effective therapies for metastatic prostate cancer.
Therefore, the goal of this Research Topic is to provide the most recent advances in prostate cancer early detection, model systems utilized to study the disease, molecular and cellular mechanisms underlying prostate cancer initiation, progression and neuroendocrine transdifferentiation, as well as emerging therapeutic targets and strategies for metastatic disease, and therapeutic approaches for prostate cancer.
We welcome Original Research, Reviews, Mini-reviews, and Case Reports focusing on but not limited to the following:
1. Animal and cellular models to study prostate cancer.
2. Patient-derived xenograft and ex vivo models utilized to study prostate cancer.
3. Molecular mechanisms underlying prostate cancer initiation and progression.
4. Molecular mechanisms underlying neuroendocrine transdifferentiation.
5. Cellular mechanisms and cell of origin for prostate cancer.
7. Computational and bioinformatics investigations of the mechanisms implicated in prostate cancer progression.
8. Computational and bioinformatics approaches to investigate the mechanisms implicated in prostate cancer therapeutic responses.
9. Minimally invasive biomarkers for prostate cancer.
10. Prostate cancer diagnosis and prognosis.
11. Imaging modalities for prostate cancer.
12. Emerging therapeutic targets for prostate cancer.
13. Targeted therapies for prostate cancer.
14. Therapeutic approaches for localized prostate cancer.
15.Therapeutic approaches for metastatic prostate cancer.
Please note: manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (clinical cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.
Currently, there are two major clinical challenges in prostate cancer: distinguishing the patients who may benefit from treatments from patients who should not be treated but rather managed with active surveillance, and developing new and more effective therapies for metastatic prostate cancer.
Therefore, the goal of this Research Topic is to provide the most recent advances in prostate cancer early detection, model systems utilized to study the disease, molecular and cellular mechanisms underlying prostate cancer initiation, progression and neuroendocrine transdifferentiation, as well as emerging therapeutic targets and strategies for metastatic disease, and therapeutic approaches for prostate cancer.
We welcome Original Research, Reviews, Mini-reviews, and Case Reports focusing on but not limited to the following:
1. Animal and cellular models to study prostate cancer.
2. Patient-derived xenograft and ex vivo models utilized to study prostate cancer.
3. Molecular mechanisms underlying prostate cancer initiation and progression.
4. Molecular mechanisms underlying neuroendocrine transdifferentiation.
5. Cellular mechanisms and cell of origin for prostate cancer.
7. Computational and bioinformatics investigations of the mechanisms implicated in prostate cancer progression.
8. Computational and bioinformatics approaches to investigate the mechanisms implicated in prostate cancer therapeutic responses.
9. Minimally invasive biomarkers for prostate cancer.
10. Prostate cancer diagnosis and prognosis.
11. Imaging modalities for prostate cancer.
12. Emerging therapeutic targets for prostate cancer.
13. Targeted therapies for prostate cancer.
14. Therapeutic approaches for localized prostate cancer.
15.Therapeutic approaches for metastatic prostate cancer.
Please note: manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (clinical cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.
Keywords: Prostate Cancer, Cancer Models, Molecular Mechanisms, Cellular Mechanisms, Early Detection, Cancer Progression, Metastasis
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
