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Related Experiment Video

Updated: Jul 1, 2025

Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients

Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients

Published on: November 19, 2019

Genomic evolution shapes prostate cancer disease type.

Dan J Woodcock¹, Atef Sahli², Ruxandra Teslo³

¹Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK; Nuffield Department of Medicine, University of Oxford, Oxford, UK; Big Data Institute, University of Oxford, Oxford, UK.

|March 1, 2024

Summary

Prostate cancer evolves along two distinct paths: Canonical and Alternative. The Alternative type arises from genetic changes affecting androgen receptor DNA binding, offering a new framework for understanding disease progression.

Keywords:

AR binding cancer evolution evotype model evotypes ordering prostate cancer

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Last Updated: Jul 1, 2025

Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients

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Published on: November 19, 2019

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Virus Delivery of CRISPR Guides to the Murine Prostate for Gene Alteration

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Published on: April 27, 2018

Area of Science:

Oncology
Genomics
Evolutionary Biology

Background:

Cancer development is an evolutionary process driven by accumulating genetic alterations.
These alterations disrupt normal cellular functions, leading to tumor proliferation, invasion, and metastasis.

Purpose of the Study:

To investigate the genomic evolution of prostate cancer.
To classify prostate tumors based on distinct evolutionary trajectories.

Main Methods:

Applied three distinct classification methods to analyze tumor evolution.
Integrated results from these methods to identify distinct cancer types.

Main Results:

Identified two distinct types of prostate cancer: Canonical and Alternative evolutionary disease types.
Proposed the evotype model, where Alternative tumors diverge from Canonical through genetic alterations impacting androgen receptor DNA binding.

Conclusions:

The evotype model unifies previous molecular observations in prostate cancer.
This new framework provides a powerful tool for investigating prostate cancer progression.