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.
Resources from the same session
2171 - CCND1 Amplification Contributes to Immunosuppression in Head and Neck Squamous Cell Carcinoma and the Association with a Poor Response to Immune Checkpoint Inhibitors
Presenter: Chloe Huang
Session: Poster Display session 3
Resources:
Abstract
2624 - Efficacy of PD-1/PD-L1 inhibitors in the treatment of non-small cell lung cancer patients with sensitive genes mutation
Presenter: Hui-Juan Cui
Session: Poster Display session 3
Resources:
Abstract
3494 - Neutrophil to Lymphocyte Ratio (NLR) kinetics as predictors of outcomes in metastatic renal cell carcinoma (mRCC) and non-small cell lung cancer (NSCLC) patients treated with nivolumab (N).
Presenter: Audrey Simonaggio
Session: Poster Display session 3
Resources:
Abstract
3964 - Predictive markers of checkpoint inhibitor activity in adult metastatic solid tumours
Presenter: Alexandra Pender
Session: Poster Display session 3
Resources:
Abstract
3041 - Blood-based TMB (bTMB) correlates with tissue-based TMB (tTMB) in a multi-cancer Phase I IO Cohort
Presenter: Daniel Araujo
Session: Poster Display session 3
Resources:
Abstract
3910 - Analysis of Molecular Profile Complexities for Immunotherapy Decision Support
Presenter: Robert Dóczi
Session: Poster Display session 3
Resources:
Abstract
4836 - The Role of Tumor Neoantigens in the Differential Response to Immunotherapy (IO) in EGFR and BRAF Mutated Lung Cancers - Quantity or Quality?
Presenter: Katrina Case
Session: Poster Display session 3
Resources:
Abstract
1929 - Impact of previous corticosteroid (CS) exposure on efficacy of Programmed Cell Death-(Ligand) 1 blockade in patients with advanced Non-Small-Cell Lung Cancer (NSCLC): a single Center retrospective analysis
Presenter: Fabrizio Nelli
Session: Poster Display session 3
Resources:
Abstract
2601 - Comparison 18F-FDG-PET/CT criteria for prediction of therapy response and clinical outcome in patients with metastatic melanoma treated with Ipilimumab and PD-1 inhibitors
Presenter: Sabrina Vari
Session: Poster Display session 3
Resources:
Abstract
3628 - Predictive model for survival in advanced non-small-cell lung cancer (NSCLC) treated with frontline pembrolizumab
Presenter: Xabier Mielgo Rubio
Session: Poster Display session 3
Resources:
Abstract