Analytical Validation of Cxbladder® Detect, Triage, and Monitor: Assays for Detection and Management of Urothelial Carcinoma

Background: Cxbladder® assays are reverse transcription-quantitative polymerase chain reaction (RT-qPCR) tests incorporating five genetic biomarkers (CDK1, MDK, IGFBP5, HOXA13, and CXCR2) to provide risk stratification for urothelial carcinoma (UC) in patients with hematuria or undergoing surveillance for recurrent disease. This study evaluated the analytical validity of the Cxbladder Detect, Triage, and Monitor assays. Methods: Pre-specified acceptance criteria, including the assays’ fundamental aspects (sample and reagent stability, RNA extraction quality, RT-qPCR linearity, and analytical sensitivity and specificity), accuracy and precision, and reproducibility between laboratories. Results: Cxbladder had an analytical sensitivity of 12.5–31.1 RNA copies/mL urine for the CDK1, MDK, IGFBP5, and HOXA13 UC biomarkers and 68.9 RNA copies/mL for the inflammatory biomarker CXCR2. All the pre-specified analytical criteria were met. Cxbladder had diagnostic sensitivity, specificity, positive predictive value, and negative predictive values of 77%, 94%, 68%, and 96%, respectively, for Detect; 95%, 46%, 20%, and 98% for Triage; and 91%, 39%, 21%, and 96% for Monitor. Cxbladder had high analytical accuracy (≤10.63% inaccuracy across all biomarkers) and good reproducibility (>85% concordance between laboratories). Conclusions: Cxbladder accurately and reproducibly detects UC biomarker expression and can aid clinicians in risk stratification of hematuria patients or those undergoing surveillance for recurrent UC.

Authors

Institutions

Publication Details

Journal
Diagnostics
Published
2024-09-17
DOI
https://doi.org/10.3390/diagnostics14182061
Citations
12
Primary Topic
Bladder and Urothelial Cancer Treatments
Type
article
Field-Weighted Citation Impact
6.87
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analytical Validation of Cxbladder® Detect, Triage, and Monitor: Assays for Detection and Management of Urothelial Carcinoma

Parry Guilford, Lisa Cambridge, Jordan M. Newell, Justin Harvey et al.
12 citations
Diagnostics
Bladder and Urothelial Cancer Treatments
6.87
article

Analytical Validation of Cxbladder® Detect, Triage, and Monitor: Assays for Detection and Management of Urothelial Carcinoma

Parry Guilford, Lisa Cambridge, Jordan M. Newell, Justin Harvey, Megan Colonval, Xin Zhou, Charles W. Ellen, Jody A. Hazlett
article en
12 citations

Abstract

Background: Cxbladder® assays are reverse transcription-quantitative polymerase chain reaction (RT-qPCR) tests incorporating five genetic biomarkers (CDK1, MDK, IGFBP5, HOXA13, and CXCR2) to provide risk stratification for urothelial carcinoma (UC) in patients with hematuria or undergoing surveillance for recurrent disease. This study evaluated the analytical validity of the Cxbladder Detect, Triage, and Monitor assays. Methods: Pre-specified acceptance criteria, including the assays’ fundamental aspects (sample and reagent stability, RNA extraction quality, RT-qPCR linearity, and analytical sensitivity and specificity), accuracy and precision, and reproducibility between laboratories. Results: Cxbladder had an analytical sensitivity of 12.5–31.1 RNA copies/mL urine for the CDK1, MDK, IGFBP5, and HOXA13 UC biomarkers and 68.9 RNA copies/mL for the inflammatory biomarker CXCR2. All the pre-specified analytical criteria were met. Cxbladder had diagnostic sensitivity, specificity, positive predictive value, and negative predictive values of 77%, 94%, 68%, and 96%, respectively, for Detect; 95%, 46%, 20%, and 98% for Triage; and 91%, 39%, 21%, and 96% for Monitor. Cxbladder had high analytical accuracy (≤10.63% inaccuracy across all biomarkers) and good reproducibility (>85% concordance between laboratories). Conclusions: Cxbladder accurately and reproducibly detects UC biomarker expression and can aid clinicians in risk stratification of hematuria patients or those undergoing surveillance for recurrent UC.

DiagnosticsVol. 14(18)
Pacific Radiology (New Zealand) (NZ), University of Otago (NZ)
Good health and well-being
Openalex Percentile: Top 2%
Bladder and Urothelial Cancer Treatments
6.87
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.