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MR Molecular Imaging of Prostate Cancer with a Small Molecular CLT1 Peptide Targeted Contrast Agent
Published on: September 3, 2013
Prostatic cancers: understanding their molecular pathology and the 2016 WHO classification
1Division of Pathology, The Cancer Institute; Department of Pathology, The Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo 135-8550, Japan.
Prostate cancers are diverse, with the 2016 World Health Organization classification now reflecting molecular subtypes. This advances personalized therapies and patient management for better prostate cancer outcomes.
Area of Science:
- Oncology
- Genetics
- Pathology
Background:
- Prostate cancers are recognized as histologically and molecularly heterogeneous diseases.
- Previous classifications did not fully capture the complexity of prostate cancer subtypes.
- Variable clinical courses necessitate refined diagnostic and therapeutic strategies.
Purpose of the Study:
- To review the revised 2016 World Health Organization (WHO) classification of prostate cancers.
- To discuss recent advancements in the molecular characterization of prostate cancers.
- To highlight the implications of molecular subtyping for personalized medicine.
Main Methods:
- Review of accumulating evidence on prostatic cancer clinicopathology and genetics.
- Analysis of recent data on comprehensive molecular characterization of prostate cancers.
- Synthesis of information regarding the 2016 WHO classification updates.
Main Results:
- The 2016 WHO classification incorporates increased knowledge of prostate cancer genetics.
- Molecular characterization enables classification into subtypes with distinct pathologies.
- Understanding molecular subtypes facilitates personalized therapies and improved patient management.
Conclusions:
- The revised WHO classification represents an evolution towards molecularly defined prostate cancer subtypes.
- Personalized therapies can be implemented based on distinct molecular pathologies.
- Further revisions are anticipated as molecular understanding deepens for improved diagnoses.
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