Related Experiment Video
Updated: May 14, 2026

Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients
Published on: November 19, 2019
Molecular pathology of prostate cancer revealed by next-generation sequencing: opportunities for genome-based
Jiaoti Huang1, Jason K Wang, Yin Sun
1Departments of Pathology and Urology, Jonsson Comprehensive Cancer Center and Broad Center for Regenerative Medicine and Stem Cell Research, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095-1732, USA. Huang@mednet.ucla.edu
Purpose Of Review:
This article reviews recently identified genomic mutations in prostate cancer.
Recent Findings:
Advanced sequencing technologies have made it possible to obtain large amounts of data on genomes and transcriptomes of cancers. Such technologies have been used to sequence prostate cancer of different stages, from treatment-naive cancers, to advanced, castration-resistant cancers to the aggressive small cell neuroendocrine carcinomas. For each category of prostate cancer, distinct and overlapping DNA sequence alterations were discovered, including point mutations, small insertions or deletions, copy number changes and chromosomal rearrangements. There appears to be a stepwise increase in genomic alterations from low risk to high risk to advanced cancers.
Summary:
These novel findings have significantly increased our knowledge of the genetic basis of human prostate cancer and the molecular mechanisms responsible for disease progression and treatment resistance. Some of the lesions are potential therapeutic targets. Studies along this direction will eventually make it possible to design personalized management plans for individual patients.
Insights
Recent advances in genomic sequencing reveal distinct and overlapping DNA alterations in various prostate cancer stages. These findings enhance understanding of prostate cancer progression and resistance, paving the way for targeted therapies.
Area of Science:
- Genomic Medicine
- Oncology
- Molecular Biology
Background:
- Prostate cancer (PCa) exhibits complex genomic heterogeneity.
- Understanding genetic alterations is crucial for effective treatment strategies.
Purpose of the Study:
- To review recently identified genomic mutations in prostate cancer.
- To explore the role of these mutations in disease progression and treatment resistance.
Main Methods:
- Analysis of genomic and transcriptomic data from prostate cancer samples.
- Application of advanced sequencing technologies.
Main Results:
- Identification of distinct and overlapping DNA sequence alterations (point mutations, indels, copy number changes, rearrangements) across different PCa stages.
- Demonstration of a stepwise increase in genomic alterations from low-risk to advanced PCa.
- Characterization of genomic profiles for treatment-naive, castration-resistant, and small cell neuroendocrine prostate cancers.
Conclusions:
- Novel genomic findings significantly advance the understanding of prostate cancer's genetic basis.
- Identified mutations represent potential therapeutic targets.
- Future research may enable personalized management plans for prostate cancer patients.
More Related Videos
13:19Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
13:24Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016
Related Concept Videos
Combination Therapies and Personalized Medicine
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
Targeted Cancer Therapies
There are several types of targeted therapies against specific...
Targeted Cancer Therapies
There are several types of targeted therapies against specific...
Next-generation Sequencing
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
Cancer
Pharmacogenomics: Identification of New Drug Targets