Home
Abstract
My Abstract(s)
Login
ePosters
Back
Final Presentation Format
Eposter Presentation
Eposter in PDF Format
Accept format: PDF. The file size should not be more than 5MB
Eposter in Image Format
Accept format: PNG/JPG/WEBP. The file size should not be more than 2MB
Presentation Date / Time
Submission Status
Withdrawn
Abstract
Abstract Title
Development and Validation of a Novel Technique for Precise Diagnosis of DNA Mutations in Prostate Cancer
Presentation Type
Podium Abstract
Manuscript Type
Basic Research
Abstract Category *
Oncology: Prostate
Author's Information
Number of Authors (including submitting/presenting author) *
3
No more than 10 authors can be listed (as per the Good Publication Practice (GPP) Guidelines).
Please ensure the authors are listed in the right order.
Country
China
Co-author 1
Xingyu Zhong xingyuzhong00@126.com Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Department of Urology Wuhan China *
Co-author 2
Shaogang Wang sgwangtjm@163.com Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Department of Urology Wuhan China
Co-author 3
Shaogang Wang sgwangtjm@163.com Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Department of Urology Wuhan China
Co-author 4
Co-author 5
Co-author 6
Co-author 7
Co-author 8
Co-author 9
Co-author 10
Co-author 11
Co-author 12
Co-author 13
Co-author 14
Co-author 15
Co-author 16
Co-author 17
Co-author 18
Co-author 19
Co-author 20
Abstract Content
Introduction
The rising incidence of prostate cancer (PCa) underscores the need for accurate diagnostic and monitoring techniques to inform treatment decisions and enhance patient outcomes. DNA mutations play a pivotal role in PCa progression and are critical for therapeutic guidance. Traditional detection methods, such as PCR and high-throughput sequencing, face challenges of low sensitivity and high costs, highlighting the urgent need for convenient, sensitive, and cost-effective mutation detection methods for PCa precise diagnosis and monitoring.
Materials and Methods
A DNA mutation detection system was developed that eliminates purification and single-stranded conversion, utilizing the ME I and CRISPR-Cas12a systems. Bioinformatics were employed to analyze PCa mutation sites and design specific fluorescent probes. Mutation detection was performed across PCa tissues to establish a standard curve. Then, we created a streamlined platform for DNA extraction, amplification, and detection by integrating the ME I/CRISPR-Cas12a system with a thermostatic amplification method. Finally, samples from 56 PCa patients with DNA mutations were collected for clinical diagnostic.
Results
The ME I/CRISPR-Cas12a system demonstrated direct detection of mutated DNA with a discriminatory factor of 278.4. The method successfully identified eight mutation types with a discriminatory factor reaching 184. We designed and validated probe systems targeting 3 PCa mutation sites (ATM, BRCA2, CHEK2) in mimic samples, achieving discrimination factors between 154 and 310. The integrated platform, combined with thermostatic amplification, showed a detection limit of less than 0.01% for BRCA2 mutations, with an assay cost of approximately $9.50 and a processing time of about 30 minutes—50% shorter than traditional methods. The platform effectively detected BRCA2 mutations in 56 PCa patients, achieving 100% sensitivity, with the detected mutation abundance in line with the high-throughput sequencing results.
Conclusions
We have developed a direct DNA mutation detection system that obviates purification and single-stranded conversion, capable of detecting various mutations (ATM, BRCA2, CHEK2) with high sensitivity and rapid turnaround. This diagnostic platform is suitable for point-of-care surveillance in PCa, combining precision, simplicity, and affordability, thereby offering significant clinical potential for PCa diagnosis and monitoring.
Keywords
Prostate Cancer, DNA Mutation, Precise Diagnosis
Figure 1
https://storage.unitedwebnetwork.com/files/1237/05f66af064ba3b25977a6bba8787679a.jpg
Figure 1 Caption
Development and Validation of a Novel Technique for Precise Diagnosis of DNA Mutations in Prostate Cancer
Figure 2
Figure 2 Caption
Figure 3
Figure 3 Caption
Figure 4
Figure 4 Caption
Figure 5
Figure 5 Caption
Character Count
2394
Vimeo Link
Presentation Details
Session
Date
Time
Presentation Order