Multi-institutional external validation of urinary TWIST1 and NID2 methylation as a diagnostic test for bladder cancer
We previously reported a clinical trial in which we were unable to replicate the excellent diagnostic metrics produced in the developmental study of the TWIST1 and NID2 gene methylation assay. In this expanded trial with subjects enrolled from another institution, we reexamine the diagnostic capabil...
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Published in | Urologic oncology Vol. 33; no. 9; pp. 387.e1 - 387.e6 |
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01.09.2015
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Abstract | We previously reported a clinical trial in which we were unable to replicate the excellent diagnostic metrics produced in the developmental study of the TWIST1 and NID2 gene methylation assay. In this expanded trial with subjects enrolled from another institution, we reexamine the diagnostic capabilities of the test to externally validate our previous study.
TWIST1 and NID2 gene methylation was assessed in DNA isolated from the urine of subjects at risk of bladder cancer undergoing cystoscopy for hematuria or bladder cancer surveillance. The diagnostic gold standard was cystoscopy. Two thresholds of TWIST1 and NID2 gene methylation were used for determining test result positivity, those published by Renard et al. and Abern et al. The sensitivity, specificity, positive and negative predictive values, diagnostic likelihood ratios, and receiver operating characteristic curves were calculated for each gene, as well as their combination. In all, 3 methods were used to combine TWIST1 and NID2 into a single composite test: (1) believe-the-positive decision rule—if either gene is methylated the test result is positive, which maximizes test sensitivity; (2) believe-the-negative decision rule—if either gene is not methylated the test result is negative, which maximizes test specificity; and (3) a likelihood-based logistic regression model approach that balances sensitivity and specificity. Clinical utility was determined using a decision curve analysis.
A total of 209 subjects were evaluated: 40% for hematuria and 60% for bladder cancer surveillance. Approximately 75% were male, most of the prior cancers being low-grade Ta. Using cystoscopy as the gold standard, areas under the curve were 0.67 for TWIST1, 0.64 for NID2, and 0.66 for combined TWIST1 and NID2. Decision rule results revealed optimization of sensitivity at 67% using Renard thresholds and specificity using the Abern thresholds at 69%. We found improved sensitivity (78%) in current smokers. Decision curve analyses revealed that the methylation assay provided only a modest benefit even at high probabilities of missed cancer.
A urine DNA test measuring TWIST1 and NID2 methylation was externally examined with a larger cohort and its results continue to be poor. These 2 biomarkers are unlikely to replace cystoscopy, but they may be worthy of study in active smokers.
•This external validation with additional data from an outside institution corroborates our previous finding of poor performance of this methylation assay compared to the developmental publication.•There appears to be improved test performance in patients with higher grade disease, showing evidence of spectrum effects.•This study shows that multi-institutional testing of a diagnostic test is needed before wide-spread clinical use, as it may show lack of reproducibility in a “real-world” situation.•TWIST/NID2 may be of some diagnostic benefit in the subgroup of active smokers. This needs further study with a larger cohort. |
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AbstractList | We previously reported a clinical trial in which we were unable to replicate the excellent diagnostic metrics produced in the developmental study of the TWIST1 and NID2 gene methylation assay. In this expanded trial with subjects enrolled from another institution, we reexamine the diagnostic capabilities of the test to externally validate our previous study.
TWIST1 and NID2 gene methylation was assessed in DNA isolated from the urine of subjects at risk of bladder cancer undergoing cystoscopy for hematuria or bladder cancer surveillance. The diagnostic gold standard was cystoscopy. Two thresholds of TWIST1 and NID2 gene methylation were used for determining test result positivity, those published by Renard et al. and Abern et al. The sensitivity, specificity, positive and negative predictive values, diagnostic likelihood ratios, and receiver operating characteristic curves were calculated for each gene, as well as their combination. In all, 3 methods were used to combine TWIST1 and NID2 into a single composite test: (1) believe-the-positive decision rule-if either gene is methylated the test result is positive, which maximizes test sensitivity; (2) believe-the-negative decision rule-if either gene is not methylated the test result is negative, which maximizes test specificity; and (3) a likelihood-based logistic regression model approach that balances sensitivity and specificity. Clinical utility was determined using a decision curve analysis.
A total of 209 subjects were evaluated: 40% for hematuria and 60% for bladder cancer surveillance. Approximately 75% were male, most of the prior cancers being low-grade Ta. Using cystoscopy as the gold standard, areas under the curve were 0.67 for TWIST1, 0.64 for NID2, and 0.66 for combined TWIST1 and NID2. Decision rule results revealed optimization of sensitivity at 67% using Renard thresholds and specificity using the Abern thresholds at 69%. We found improved sensitivity (78%) in current smokers. Decision curve analyses revealed that the methylation assay provided only a modest benefit even at high probabilities of missed cancer.
A urine DNA test measuring TWIST1 and NID2 methylation was externally examined with a larger cohort and its results continue to be poor. These 2 biomarkers are unlikely to replace cystoscopy, but they may be worthy of study in active smokers. We previously reported a clinical trial in which we were unable to replicate the excellent diagnostic metrics produced in the developmental study of the TWIST1 and NID2 gene methylation assay. In this expanded trial with subjects enrolled from another institution, we reexamine the diagnostic capabilities of the test to externally validate our previous study. TWIST1 and NID2 gene methylation was assessed in DNA isolated from the urine of subjects at risk of bladder cancer undergoing cystoscopy for hematuria or bladder cancer surveillance. The diagnostic gold standard was cystoscopy. Two thresholds of TWIST1 and NID2 gene methylation were used for determining test result positivity, those published by Renard et al. and Abern et al. The sensitivity, specificity, positive and negative predictive values, diagnostic likelihood ratios, and receiver operating characteristic curves were calculated for each gene, as well as their combination. In all, 3 methods were used to combine TWIST1 and NID2 into a single composite test: (1) believe-the-positive decision rule—if either gene is methylated the test result is positive, which maximizes test sensitivity; (2) believe-the-negative decision rule—if either gene is not methylated the test result is negative, which maximizes test specificity; and (3) a likelihood-based logistic regression model approach that balances sensitivity and specificity. Clinical utility was determined using a decision curve analysis. A total of 209 subjects were evaluated: 40% for hematuria and 60% for bladder cancer surveillance. Approximately 75% were male, most of the prior cancers being low-grade Ta. Using cystoscopy as the gold standard, areas under the curve were 0.67 for TWIST1, 0.64 for NID2, and 0.66 for combined TWIST1 and NID2. Decision rule results revealed optimization of sensitivity at 67% using Renard thresholds and specificity using the Abern thresholds at 69%. We found improved sensitivity (78%) in current smokers. Decision curve analyses revealed that the methylation assay provided only a modest benefit even at high probabilities of missed cancer. A urine DNA test measuring TWIST1 and NID2 methylation was externally examined with a larger cohort and its results continue to be poor. These 2 biomarkers are unlikely to replace cystoscopy, but they may be worthy of study in active smokers. •This external validation with additional data from an outside institution corroborates our previous finding of poor performance of this methylation assay compared to the developmental publication.•There appears to be improved test performance in patients with higher grade disease, showing evidence of spectrum effects.•This study shows that multi-institutional testing of a diagnostic test is needed before wide-spread clinical use, as it may show lack of reproducibility in a “real-world” situation.•TWIST/NID2 may be of some diagnostic benefit in the subgroup of active smokers. This needs further study with a larger cohort. Abstract Objectives We previously reported a clinical trial in which we were unable to replicate the excellent diagnostic metrics produced in the developmental study of the TWIST1 and NID2 gene methylation assay. In this expanded trial with subjects enrolled from another institution, we reexamine the diagnostic capabilities of the test to externally validate our previous study. Materials and methods TWIST1 and NID2 gene methylation was assessed in DNA isolated from the urine of subjects at risk of bladder cancer undergoing cystoscopy for hematuria or bladder cancer surveillance. The diagnostic gold standard was cystoscopy. Two thresholds of TWIST1 and NID2 gene methylation were used for determining test result positivity, those published by Renard et al. and Abern et al. The sensitivity, specificity, positive and negative predictive values, diagnostic likelihood ratios, and receiver operating characteristic curves were calculated for each gene, as well as their combination. In all, 3 methods were used to combine TWIST1 and NID2 into a single composite test: (1) believe-the-positive decision rule — if either gene is methylated the test result is positive, which maximizes test sensitivity; (2) believe-the-negative decision rule — if either gene is not methylated the test result is negative, which maximizes test specificity; and (3) a likelihood-based logistic regression model approach that balances sensitivity and specificity. Clinical utility was determined using a decision curve analysis. Results A total of 209 subjects were evaluated: 40% for hematuria and 60% for bladder cancer surveillance. Approximately 75% were male, most of the prior cancers being low-grade Ta. Using cystoscopy as the gold standard, areas under the curve were 0.67 for TWIST1, 0.64 for NID2, and 0.66 for combined TWIST1 and NID2. Decision rule results revealed optimization of sensitivity at 67% using Renard thresholds and specificity using the Abern thresholds at 69%. We found improved sensitivity (78%) in current smokers. Decision curve analyses revealed that the methylation assay provided only a modest benefit even at high probabilities of missed cancer. Conclusion A urine DNA test measuring TWIST1 and NID2 methylation was externally examined with a larger cohort and its results continue to be poor. These 2 biomarkers are unlikely to replace cystoscopy, but they may be worthy of study in active smokers. We previously reported a clinical trial in which we were unable to replicate the excellent diagnostic metrics produced in the developmental study of the TWIST1 and NID2 gene methylation assay. In this expanded trial with subjects enrolled from another institution, we reexamine the diagnostic capabilities of the test to externally validate our previous study.OBJECTIVESWe previously reported a clinical trial in which we were unable to replicate the excellent diagnostic metrics produced in the developmental study of the TWIST1 and NID2 gene methylation assay. In this expanded trial with subjects enrolled from another institution, we reexamine the diagnostic capabilities of the test to externally validate our previous study.TWIST1 and NID2 gene methylation was assessed in DNA isolated from the urine of subjects at risk of bladder cancer undergoing cystoscopy for hematuria or bladder cancer surveillance. The diagnostic gold standard was cystoscopy. Two thresholds of TWIST1 and NID2 gene methylation were used for determining test result positivity, those published by Renard et al. and Abern et al. The sensitivity, specificity, positive and negative predictive values, diagnostic likelihood ratios, and receiver operating characteristic curves were calculated for each gene, as well as their combination. In all, 3 methods were used to combine TWIST1 and NID2 into a single composite test: (1) believe-the-positive decision rule-if either gene is methylated the test result is positive, which maximizes test sensitivity; (2) believe-the-negative decision rule-if either gene is not methylated the test result is negative, which maximizes test specificity; and (3) a likelihood-based logistic regression model approach that balances sensitivity and specificity. Clinical utility was determined using a decision curve analysis.MATERIALS AND METHODSTWIST1 and NID2 gene methylation was assessed in DNA isolated from the urine of subjects at risk of bladder cancer undergoing cystoscopy for hematuria or bladder cancer surveillance. The diagnostic gold standard was cystoscopy. Two thresholds of TWIST1 and NID2 gene methylation were used for determining test result positivity, those published by Renard et al. and Abern et al. The sensitivity, specificity, positive and negative predictive values, diagnostic likelihood ratios, and receiver operating characteristic curves were calculated for each gene, as well as their combination. In all, 3 methods were used to combine TWIST1 and NID2 into a single composite test: (1) believe-the-positive decision rule-if either gene is methylated the test result is positive, which maximizes test sensitivity; (2) believe-the-negative decision rule-if either gene is not methylated the test result is negative, which maximizes test specificity; and (3) a likelihood-based logistic regression model approach that balances sensitivity and specificity. Clinical utility was determined using a decision curve analysis.A total of 209 subjects were evaluated: 40% for hematuria and 60% for bladder cancer surveillance. Approximately 75% were male, most of the prior cancers being low-grade Ta. Using cystoscopy as the gold standard, areas under the curve were 0.67 for TWIST1, 0.64 for NID2, and 0.66 for combined TWIST1 and NID2. Decision rule results revealed optimization of sensitivity at 67% using Renard thresholds and specificity using the Abern thresholds at 69%. We found improved sensitivity (78%) in current smokers. Decision curve analyses revealed that the methylation assay provided only a modest benefit even at high probabilities of missed cancer.RESULTSA total of 209 subjects were evaluated: 40% for hematuria and 60% for bladder cancer surveillance. Approximately 75% were male, most of the prior cancers being low-grade Ta. Using cystoscopy as the gold standard, areas under the curve were 0.67 for TWIST1, 0.64 for NID2, and 0.66 for combined TWIST1 and NID2. Decision rule results revealed optimization of sensitivity at 67% using Renard thresholds and specificity using the Abern thresholds at 69%. We found improved sensitivity (78%) in current smokers. Decision curve analyses revealed that the methylation assay provided only a modest benefit even at high probabilities of missed cancer.A urine DNA test measuring TWIST1 and NID2 methylation was externally examined with a larger cohort and its results continue to be poor. These 2 biomarkers are unlikely to replace cystoscopy, but they may be worthy of study in active smokers.CONCLUSIONA urine DNA test measuring TWIST1 and NID2 methylation was externally examined with a larger cohort and its results continue to be poor. These 2 biomarkers are unlikely to replace cystoscopy, but they may be worthy of study in active smokers. |
Author | Jack Tay, Kae Lance, Raymond S. Fantony, Joseph J. Inman, Brant A. Owusu, Richmond Abern, Michael R. Gopalakrishna, Ajay |
Author_xml | – sequence: 1 givenname: Joseph J. surname: Fantony fullname: Fantony, Joseph J. organization: Division of Urology, Duke University Medical Center, Durham, NC – sequence: 2 givenname: Michael R. surname: Abern fullname: Abern, Michael R. organization: Department of Urology, University of Illinois Chicago, Chicago, IL – sequence: 3 givenname: Ajay surname: Gopalakrishna fullname: Gopalakrishna, Ajay organization: Division of Urology, Duke University Medical Center, Durham, NC – sequence: 4 givenname: Richmond orcidid: 0000-0001-8267-4663 surname: Owusu fullname: Owusu, Richmond organization: Division of Urology, Duke University Medical Center, Durham, NC – sequence: 5 givenname: Kae surname: Jack Tay fullname: Jack Tay, Kae organization: Division of Urology, Duke University Medical Center, Durham, NC – sequence: 6 givenname: Raymond S. surname: Lance fullname: Lance, Raymond S. organization: Division of Urology, Urology of Virginia, Virginia Beach, VA – sequence: 7 givenname: Brant A. surname: Inman fullname: Inman, Brant A. email: brant.inman@duke.edu organization: Division of Urology, Duke University Medical Center, Durham, NC |
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Keywords | Diagnostic test Sensitivity Specificity Epigenetic Urothelial carcinoma Smoking |
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SubjectTerms | Aged Area Under Curve Biomarkers, Tumor - analysis Carcinoma, Transitional Cell - diagnosis Carcinoma, Transitional Cell - genetics Carcinoma, Transitional Cell - urine Cell Adhesion Molecules - genetics Cell Adhesion Molecules - metabolism Cell Adhesion Molecules - urine Cohort Studies Diagnostic test DNA Methylation Epigenetic Female Humans Likelihood Functions Male Middle Aged Nuclear Proteins - genetics Nuclear Proteins - metabolism Nuclear Proteins - urine Real-Time Polymerase Chain Reaction ROC Curve Sensitivity Sensitivity and Specificity Smoking Specificity Twist-Related Protein 1 - genetics Twist-Related Protein 1 - metabolism Twist-Related Protein 1 - urine Urinary Bladder Neoplasms - diagnosis Urinary Bladder Neoplasms - genetics Urinary Bladder Neoplasms - urine Urology Urothelial carcinoma |
Title | Multi-institutional external validation of urinary TWIST1 and NID2 methylation as a diagnostic test for bladder cancer |
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