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 Display session 3

1868 - Evaluation and diagnostic potential of plasma biomarkers in bladder cancer

Date

30 Sep 2019

Session

Poster Display session 3

Topics

Translational Research

Tumour Site

Urothelial Cancer

Presenters

Veronika Voronova

Citation

Annals of Oncology (2019) 30 (suppl_5): v25-v54. 10.1093/annonc/mdz239

Authors

V. Voronova1, K. Peskov1, P. Glybochko2, A. Svistunov2, V. Fomin2, P. Kopylov2, D. Enikeev2, E. Gitel2, A. Ragimov2, E. Poddubskaya2, M. Sekacheva2

Author affiliations

  • 1 -, M&S Decisions LLC, 125167 - Moscow/RU
  • 2 -, I.M. Sechenov First Moscow State Medical University, 119991 - Moscow/RU

Resources

Login to access the resources on OncologyPRO.

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

Abstract 1868

Background

While urine biomarkers are widely used to diagnose bladder cancer (BLC), little is known about plasma protein levels in patients with BLC. The current research is aimed to evaluate diagnostic potential of 13 plasma markers including tumor antigens, inflammatory markers and apolipoproteins (Apo) as well as combinations of thereof.

Methods

In total 203 healthy volunteers (HV) and 59 patients with BLC were enrolled into the study. Concentrations of alpha-fetoprotein (AFP), carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (СА 19-9), prostate-specific antigen (PSA), beta 2 microglobulin (B2M), human-specific C-reactive protein (hsCRP), D-dimer, сytokeratin 19-fragments (CYFRA 21-1), ApoA1, ApoA2, ApoВ, transthyretin (TTR), and soluble vascular cell adhesion molecule-1 (sVCAM-1) in plasma were measured via ELISA. t-test after log-transformation was used to identify between-group differences in biomarker levels. Diagnostic accuracy of the single biomarkers as well as trained random forest (RF), linear discriminant analysis (LDA) and support vector machine (SVM) classifiers was assessed by ROC analysis.

Results

Plasma levels of ApoB, B2M, CA 19-9, CYFRA 21-1, D-dimer, hsCRP, sVCAM-1 and TTR were significantly higher (p-value<0.001) whereas ApoA1 and ApoA2 levels were significantly lower (p-value<0.0005) in patients with BLC vs HV. No differences in AFP, CEA and PSA was found between the groups. The highest discriminative power was shown for sVCAM-1 and ApoA1 with area under ROC curve (AUROC) 0.92 and 0.90, respectively, whereas AUROC for several classifiers based on measurements of 2-12 biomarkers was higher than 0.95.

Conclusions

Numerous abnormalities in plasma biomarker levels were detected in patients with BLC, hence, blood-based tests represent a promising strategy to improve performance of urinary-based tests and cystoscopy in BLC detection and prognosis. Combining several biomarkers allows to increase diagnostic test accuracy.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

I.M. Sechenov First Moscow State Medical University.

Funding

I.M. Sechenov First Moscow State Medical University.

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.