Progress in Modelling, Understanding of Cellular Biology of Prostate Cancer
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Molecular Cancer Biology".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 47
Special Issue Editor
Interests: prostate cancer
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Prostate cancer remains a significant public health challenge, with rising incidence rates and substantial mortality among men worldwide. Recent advancements in modeling and understanding the cellular biology of prostate cancer have opened new avenues for targeted therapies and personalized medicine. Traditional approaches to prostate cancer research have evolved, incorporating sophisticated techniques such as three-dimensional tissue cultures, organoids, and computational modeling. These methodologies enhance our understanding of tumor heterogeneity, microenvironment interactions, and the molecular pathways driving disease progression. Furthermore, integrating genomic and proteomic data has illuminated the complex cellular networks involved in prostate cancer, enabling researchers to identify potential biomarkers and therapeutic targets. This Special Issue aims to highlight recent progress in these fields, underscoring the importance of a multidisciplinary approach to unraveling prostate cancer biology's intricacies and improving patient clinical outcomes.
Prof. Dr. Benyi Li
Guest Editor
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.
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Keywords
- prostate cancer
- cellular biology
- targeted therapy
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