Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Poster session 24

2404P - Concordance of genomic alterations by next-generation sequencing in tumor tissue versus urinary tumor DNA and circulating tumor DNA in bladder cancer

Date

21 Oct 2023

Session

Poster session 24

Topics

Tumour Site

Urothelial Cancer

Presenters

Song Xue

Citation

Annals of Oncology (2023) 34 (suppl_2): S1202-S1228. 10.1016/S0923-7534(23)01271-1

Authors

S. Xue1, N. Li2, Y. Qiu3, J. Qin3, S. cao4

Author affiliations

  • 1 Department Of Urology, General Hospital of Eastern Theater Command, 210002 - Nanjing/CN
  • 2 Department Of General Surgery, General Hospital of Eastern Theater Command, 210002 - Nanjing/CN
  • 3 Medical Department, Beijing Acornmed Biotechnology Co., Ltd., 100176 - Beijing/CN
  • 4 President Office, Beijing Acornmed Biotechnology Co., Ltd., 100176 - Beijing/CN

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 2404P

Background

The current gold standard for diagnosing and monitoring bladder cancer is cystoscopy, but its application is restricted due to invasiveness and high cost. Liquid biopsy has gained widespread attention recently because of its non-invasive, convenient access, and convenient for real-time monitoring. This study aimed to explore the consistency of genomic alterations of bladder cancer detected by urine and blood with their paired tissue to evaluate the potential of liquid biopsy in the real world.

Methods

For this analysis, we included 20 bladder cancer patients with all their tissue, blood, and urine samples. The next-generation sequencing technology was used to detect the mutated genes of 60 obtained samples via the Acornmed panel with 808 cancer-related genes. The average sequencing depth was >10,000x, and the coverage was 95%.

Results

A total of 60 samples from 20 patients were tested in this study. In 90% (18/20) of patients, at least one concordance mutation was detected in both tissue DNA and urinary tumor DNA(utDNA), while at least one concordance mutation was detected in both ctDNA and tDNA in 80% (16/20) of patients. A total of 357 mutated genes were detected in all tissue samples, and 202 mutated genes were detected in all urine samples, of which 179 (88.6%) genes were also detected in tissue DNA. A total of 148 mutated genes were detected in all blood samples, of which 109 (73.6%) genes were also detected in tissue DNA. A total of 75 genes were detected in the three samples, of which 12 (16%) were clinically available genes that could be found in the OncoKB database. The Top 5 frequently mutated genes in tDNA were TERT (50%), TP53 (45%), FAT (35%), LRP1B (35%), and PIK3CA (30%), whereas the Top 5 mutant genes detected in utDNA were TERT (40%), TP53 (30%), KMT2D (25%), NOTCH4 (20%), and PIK3CA (15%), in ctDNA were ATRX (15%), IRS2 (15%), NOTCH4 (15%), ZFHX3 (15%), and KMT2D (10%).

Conclusions

Results of this study show that liquid biopsies represented by urine and blood overlap with the genomic results of tissues, suggesting that utDNA and ctDNA may have potential applications in patients with bladder cancer who have no tumor tissue available, offering similar profiles of genomic alterations of tumor tissues.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.