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Next-generation Sequencing of Nonmuscle Invasive Bladder Cancer Reveals Potential Biomarkers and Rational Therapeutic Targets

Open access
Pietzak, Eugene J., Bagrodia, Aditya, Cha, Eugene K., Drill, Esther N., Iyer, Gopa, Isharwal, Sumit, Ostrovnaya, Irina, Baez, Priscilla, Li, Qiang, Berger, Michael F., Zehir, Ahmet, Schultz, Nikolaus, Rosenberg, Jonathan E., Bajorin, Dean F., Dalbagni, Guido, Al-Ahmadie, Hikmat, Solit, David B., Bochner, Bernard H.·2017·European Urology

Abstract

Background Molecular characterization of nonmuscle invasive bladder cancer (NMIBC) may provide a biologic rationale for treatment response and novel therapeutic strategies. Objective To identify genetic alterations with potential clinical implications in NMIBC. Design, setting, and participants Pretreatment index tumors and matched germline DNA from 105 patients with NMIBC on a prospective Institutional Review Board-approved protocol underwent targeted exon sequencing analysis in a Clinical Laboratory Improvement Amendments-certified clinical laboratory. Outcome measurements and statistical analysis Comutation patterns and copy number alterations were compared across stage and grade. Associations between genomic alterations and recurrence after intravesical bacillus Calmette-Guérin (BCG) were estimated using Kaplan-Meier and Cox regression analyses. Results and limitations TERT promoter mutations (73%) and chromatin-modifying gene alterations (69%) were highly prevalent across grade and stage, suggesting these events occur early in tumorigenesis. ERBB2 or FGFR3 alterations were present in 57% of high-grade NMIBC tumors in a mutually exclusive pattern. DNA damage repair (DDR) gene alterations were seen in 30% (25/82) of high-grade NMIBC tumors, a rate similar to MIBC, and were associated with a higher mutational burden compared with tumors with intact DDR genes (p < 0.001). ARID1A mutations were associated with an increased risk of recurrence after BCG (hazard ratio = 3.14, 95% confidence interval: 1.51–6.51, p = 0.002). Conclusions Next-generation sequencing of treatment-naive index NMIBC tumors demonstrated that the majority of NMIBC tumors had at least one potentially actionable alteration that could serve as a target in rationally designed trials of intravesical or systemic therapy. DDR gene alterations were frequent in high-grade NMIBC and were associated with increased mutational load, which may have therapeutic implications for BCG immunotherapy and ongoing trials of systemic checkpoint inhibitors. ARID1A mutations were associated with an increased risk of recurrence after BCG therapy. Whether ARID1A mutations represent a predictive biomarker of BCG response or are prognostic in NMIBC patients warrants further investigation. Patient summary Analysis of frequently mutated genes in superficial bladder cancer suggests potential targets for personalized treatment and predictors of treatment response, and also may help develop noninvasive tumor detection tests.

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Authors
Pietzak, E. J., Bagrodia, A., Cha, E. K., Drill, E. N., Iyer, G., Isharwal, S., Ostrovnaya, I., Baez, P., Li, Q., Berger, M. F., Zehir, A., Schultz, N., Rosenberg, J. E., Bajorin, D. F., Dalbagni, G., Al-Ahmadie, H., Solit, D. B., & Bochner, B. H.
Venue
European Urology
Publisher
Elsevier BV
Published
2017-12
Volume
72
Issue
6
Pages
952-959
ISSN
0302-2838 (ISSN-L)
OpenAlex
W2621022579
Cited by
373
References
28
FWCI
30.07
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Next-generation Sequencing of Nonmuscle Invasive Bladder Cancer Reveals Potential Biomarkers and Rational Therapeutic Targets. https://app.cochat.ai/papers/10.1016/j.eururo.2017.05.032
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Pietzak, E. J., Bagrodia, A., Cha, E. K., Drill, E. N., Iyer, G., Isharwal, S., Ostrovnaya, I., Baez, P., Li, Q., Berger, M. F., Zehir, A., Schultz, N., Rosenberg, J. E., Bajorin, D. F., Dalbagni, G., Al-Ahmadie, H., Solit, D. B., & Bochner, B. H. (2017). Next-generation Sequencing of Nonmuscle Invasive Bladder Cancer Reveals Potential Biomarkers and Rational Therapeutic Targets. European Urology. https://doi.org/10.1016/j.eururo.2017.05.032

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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