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Kumbham S, Rahman KMM, Bosmajian C, Bist G, Foster BA, Woo S, You Y. Enhancing PDT efficacy in NMIBC: Efflux inhibitor mediated improvement of PpIX levels and efficacy of the combination of PpIX-PDT and SO-cleavable prodrugs. Photochem Photobiol 2024. [PMID: 38866726 DOI: 10.1111/php.13982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 05/28/2024] [Accepted: 05/31/2024] [Indexed: 06/14/2024]
Abstract
Protoporphyrin IX (PpIX)-based photodynamic therapy (PDT) has shown limited efficacy in nonmuscle-invasive bladder cancer (NMIBC). To improve PDT efficacy, we developed singlet oxygen-cleavable prodrugs. These prodrugs, when combined with PpIX-PDT, induce cancer cell death through both PDT and drug release mechanisms. Inhibition of PpIX efflux was reported to be an effective strategy to improve PpIX-PDT in certain cancer cells. Our main goal was to investigate whether adding an efflux inhibitor to the combination of PpIX and prodrugs can improve the PpIX levels in bladder cancer cells and the release of active drugs, thus improving the overall efficacy of the treatment. We treated bladder cancer cell lines with lapatinib and evaluated intracellular PpIX fluorescence, finding significantly increased accumulation. Combining lapatinib with prodrugs led to significantly reduced cell viability compared to prodrugs or PpIX-PDT alone. The effect of lapatinib depended on the expression level of the efflux pump in bladder cancer cells. Interestingly, lapatinib increased paclitaxel (PTX) prodrug uptake by threefold compared to prodrug alone. Adding an efflux inhibitor (e.g., lapatinib) into bladder instillation solutions could be a straightforward and effective strategy for NMIBC treatment, particularly in tumors expressing efflux pumps, with the potential for clinical translation.
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Affiliation(s)
- Soniya Kumbham
- Department of Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA
| | - Kazi Md Mahabubur Rahman
- Department of Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA
| | - Caroline Bosmajian
- Department of Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA
| | - Ganesh Bist
- Department of Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA
| | - Barbara A Foster
- Department of Pharmacology & Therapeutics, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
| | - Sukyung Woo
- Department of Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA
| | - Youngjae You
- Department of Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA
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2
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Wever BMM, Steenbergen RDM. Unlocking the potential of tumor-derived DNA in urine for cancer detection: methodological challenges and opportunities. Mol Oncol 2024. [PMID: 38462745 DOI: 10.1002/1878-0261.13628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 12/20/2023] [Accepted: 01/27/2024] [Indexed: 03/12/2024] Open
Abstract
High cancer mortality rates and the rising cancer burden worldwide drive the development of innovative methods in order to advance cancer diagnostics. Urine contains a viable source of tumor material and allows for self-collection from home. Biomarker testing in this liquid biopsy represents a novel approach that is convenient for patients and can be effective in detecting cancer at a curable stage. Here, we set out to provide a detailed overview of the rationale behind urine-based cancer detection, with a focus on non-urological cancers, and its potential for cancer diagnostics. Moreover, evolving methodological challenges and untapped opportunities for urine biomarker testing are discussed, particularly emphasizing DNA methylation of tumor-derived cell-free DNA. We also provide future recommendations for technical advancements in urine-based cancer detection and elaborate on potential mechanisms involved in the transrenal transport of cell-free DNA.
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Affiliation(s)
- Birgit M M Wever
- Department of Pathology, Amsterdam UMC, location Vrije Universiteit Amsterdam, The Netherlands
- Imaging and Biomarkers, Cancer Center Amsterdam, The Netherlands
| | - Renske D M Steenbergen
- Department of Pathology, Amsterdam UMC, location Vrije Universiteit Amsterdam, The Netherlands
- Imaging and Biomarkers, Cancer Center Amsterdam, The Netherlands
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3
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Semenkovich NP, Szymanski JJ, Earland N, Chauhan PS, Pellini B, Chaudhuri AA. Genomic approaches to cancer and minimal residual disease detection using circulating tumor DNA. J Immunother Cancer 2023; 11:e006284. [PMID: 37349125 PMCID: PMC10314661 DOI: 10.1136/jitc-2022-006284] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/26/2023] [Indexed: 06/24/2023] Open
Abstract
Liquid biopsies using cell-free circulating tumor DNA (ctDNA) are being used frequently in both research and clinical settings. ctDNA can be used to identify actionable mutations to personalize systemic therapy, detect post-treatment minimal residual disease (MRD), and predict responses to immunotherapy. ctDNA can also be isolated from a range of different biofluids, with the possibility of detecting locoregional MRD with increased sensitivity if sampling more proximally than blood plasma. However, ctDNA detection remains challenging in early-stage and post-treatment MRD settings where ctDNA levels are minuscule giving a high risk for false negative results, which is balanced with the risk of false positive results from clonal hematopoiesis. To address these challenges, researchers have developed ever-more elegant approaches to lower the limit of detection (LOD) of ctDNA assays toward the part-per-million range and boost assay sensitivity and specificity by reducing sources of low-level technical and biological noise, and by harnessing specific genomic and epigenomic features of ctDNA. In this review, we highlight a range of modern assays for ctDNA analysis, including advancements made to improve the signal-to-noise ratio. We further highlight the challenge of detecting ultra-rare tumor-associated variants, overcoming which will improve the sensitivity of post-treatment MRD detection and open a new frontier of personalized adjuvant treatment decision-making.
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Affiliation(s)
- Nicholas P Semenkovich
- Division of Endocrinology, Metabolism, and Lipid Research, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Jeffrey J Szymanski
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Noah Earland
- Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Pradeep S Chauhan
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Bruna Pellini
- Department of Thoracic Oncology, Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
- Department of Oncologic Sciences, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Aadel A Chaudhuri
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, USA
- Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, Missouri, USA
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, Missouri, USA
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4
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Lee D, Lee W, Kim HP, Kim M, Ahn HK, Bang D, Kim KH. Accurate Detection of Urothelial Bladder Cancer Using Targeted Deep Sequencing of Urine DNA. Cancers (Basel) 2023; 15:2868. [PMID: 37345205 DOI: 10.3390/cancers15102868] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 05/13/2023] [Accepted: 05/16/2023] [Indexed: 06/23/2023] Open
Abstract
Patients with hematuria are commonly given an invasive cystoscopy test to detect bladder cancer (BC). To avoid the risks associated with cystoscopy, several urine-based methods for BC detection have been developed, the most prominent of which is the deep sequencing of urine DNA. However, the current methods for urine-based BC detection have significant levels of false-positive signals. In this study, we report on uAL100, a method to precisely detect BC tumor DNA in the urine without tumor samples. Using urine samples from 43 patients with BC and 21 healthy donors, uAL100 detected BC with 83.7% sensitivity and 100% specificity. The mutations identified in the urine DNA by uAL100 for BC detection were highly associated with BC tumorigenesis and progression. We suggest that uAL100 has improved accuracy compared to other urine-based methods for early BC detection and can reduce unnecessary cystoscopy tests for patients with hematuria.
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Affiliation(s)
- Dongin Lee
- Department of Chemistry, Yonsei University, Seoul 03722, Republic of Korea
| | | | | | - Myong Kim
- Department of Urology, Ewha Womans University Seoul Hospital, Seoul 07804, Republic of Korea
| | - Hyun Kyu Ahn
- Department of Urology, Ewha Womans University Seoul Hospital, Seoul 07804, Republic of Korea
| | - Duhee Bang
- Department of Chemistry, Yonsei University, Seoul 03722, Republic of Korea
| | - Kwang Hyun Kim
- Department of Urology, Ewha Womans University Seoul Hospital, Seoul 07804, Republic of Korea
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5
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Relouw S, Dugbartey GJ, Sener A. Non-Invasive Imaging Modalities in Intravesical Murine Models of Bladder Cancer. Cancers (Basel) 2023; 15:cancers15082381. [PMID: 37190309 DOI: 10.3390/cancers15082381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 04/18/2023] [Accepted: 04/18/2023] [Indexed: 05/17/2023] Open
Abstract
Bladder cancer (BCa) is the sixth most prevalent cancer in men and seventeenth most prevalent cancer in women worldwide. Current treatment paradigms have limited therapeutic impact, suggesting an urgent need for the investigation of novel therapies. To best emulate the progression of human BCa, a pre-clinical intravesical murine model is required in conjunction with existing non-invasive imaging modalities to detect and evaluate cancer progression. Non-invasive imaging modalities reduce the number of required experimental models while allowing for longitudinal studies of novel therapies to investigate long-term efficacy. In this review, we discuss the individual and multi-modal use of non-invasive imaging modalities; bioluminescence imaging (BLI), micro-ultrasound imaging (MUI), magnetic resonance imaging (MRI), and positron emission tomography (PET) in BCa evaluation. We also provide an update on the potential and the future directions of imaging modalities in relation to intravesical murine models of BCa.
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Affiliation(s)
- Sydney Relouw
- Matthew Mailing Center for Translational Transplant Studies, London Health Sciences Centre, Western University, London, ON N6A 5A5, Canada
- Department of Microbiology and Immunology, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5C1, Canada
| | - George J Dugbartey
- Matthew Mailing Center for Translational Transplant Studies, London Health Sciences Centre, Western University, London, ON N6A 5A5, Canada
- Department of Pharmacology and Toxicology, School of Pharmacy, College of Health Sciences, University of Ghana, Legon, Accra P.O. Box LG 1181, Ghana
- Department of Surgery, Division of Urology, London Health Sciences Centre, London, ON N6A 5A5, Canada
- Multi-Organ Transplant Program, London Health Sciences Center, London, ON N6A 5A5, Canada
| | - Alp Sener
- Matthew Mailing Center for Translational Transplant Studies, London Health Sciences Centre, Western University, London, ON N6A 5A5, Canada
- Department of Microbiology and Immunology, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5C1, Canada
- Department of Surgery, Division of Urology, London Health Sciences Centre, London, ON N6A 5A5, Canada
- Multi-Organ Transplant Program, London Health Sciences Center, London, ON N6A 5A5, Canada
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6
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Damrauer JS, Roell KR, Smith MA, Sun X, Kirk EL, Hoadley KA, Benefield HC, Iyer G, Solit DB, Milowsky MI, Kim WY, Nielsen ME, Wobker SE, Dalbagni G, Al-Ahmadie HA, Olshan AF, Bochner BH, Furberg H, Troester MA, Pietzak EJ. Identification of a Novel Inflamed Tumor Microenvironment Signature as a Predictive Biomarker of Bacillus Calmette-Guérin Immunotherapy in Non-Muscle-Invasive Bladder Cancer. Clin Cancer Res 2021; 27:4599-4609. [PMID: 34117034 PMCID: PMC8416390 DOI: 10.1158/1078-0432.ccr-21-0205] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 03/24/2021] [Accepted: 06/10/2021] [Indexed: 11/16/2022]
Abstract
PURPOSE Improved risk stratification and predictive biomarkers of treatment response are needed for non-muscle-invasive bladder cancer (NMIBC). Here we assessed the clinical utility of targeted RNA and DNA molecular profiling in NMIBC. EXPERIMENTAL DESIGN Gene expression in NMIBC samples was profiled by NanoString nCounter, an RNA quantification platform, from two independent cohorts (n = 28, n = 50); targeted panel sequencing was performed in a subgroup (n = 50). Gene signatures were externally validated using two RNA sequencing datasets of NMIBC tumors (n = 438, n = 73). Established molecular subtype classifiers and novel gene expression signatures were assessed for associations with clinicopathologic characteristics, somatic tumor mutations, and treatment outcomes. RESULTS Molecular subtypes distinguished between low-grade Ta tumors with FGFR3 mutations and overexpression (UROMOL-class 1) and tumors with more aggressive clinicopathologic characteristics (UROMOL-classes 2 and 3), which were significantly enriched with TERT promoter mutations. However, UROMOL subclasses were not associated with recurrence after bacillus Calmette-Guérin (BCG) immunotherapy in two independent cohorts. In contrast, a novel expression signature of an inflamed tumor microenvironment (TME) was associated with improved recurrence-free survival after BCG. Expression of immune checkpoint genes (PD-L1/PD-1/CTLA-4) was associated with an inflamed TME, but not with higher recurrence rates after BCG. FGFR3 mutations and overexpression were both associated with low immune signatures. CONCLUSIONS Assessment of the immune TME, rather than molecular subtypes, is a promising predictive biomarker of BCG response. Modulating the TME in an immunologically "cold" tumor warrants further investigation. Integrated transcriptomic and exome sequencing should improve treatment selection in NMIBC.
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Affiliation(s)
- Jeffrey S Damrauer
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
| | - Kyle R Roell
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Markia A Smith
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Xuezheng Sun
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Erin L Kirk
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Katherine A Hoadley
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Halei C Benefield
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Gopakumar Iyer
- Department of Medicine (Genitourinary Oncology Service), Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Medicine, Weill Cornell Medicine, New York, New York
| | - David B Solit
- Department of Medicine (Genitourinary Oncology Service), Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Medicine, Weill Cornell Medicine, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Matthew I Milowsky
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - William Y Kim
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Matthew E Nielsen
- Department of Urology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Sara E Wobker
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
- Department of Urology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Guido Dalbagni
- Department of Surgery (Urology Service), Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Urology, Weill Cornell Medicine, New York, New York
| | - Hikmat A Al-Ahmadie
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Andrew F Olshan
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Bernard H Bochner
- Department of Surgery (Urology Service), Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Urology, Weill Cornell Medicine, New York, New York
| | - Helena Furberg
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Melissa A Troester
- University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, North Carolina
- Department of Medicine (Genitourinary Oncology Service), Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Eugene J Pietzak
- Department of Surgery (Urology Service), Memorial Sloan Kettering Cancer Center, New York, New York.
- Department of Urology, Weill Cornell Medicine, New York, New York
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7
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Chauhan PS, Chen K, Babbra RK, Feng W, Pejovic N, Nallicheri A, Harris PK, Dienstbach K, Atkocius A, Maguire L, Qaium F, Szymanski JJ, Baumann BC, Ding L, Cao D, Reimers MA, Kim EH, Smith ZL, Arora VK, Chaudhuri AA. Urine tumor DNA detection of minimal residual disease in muscle-invasive bladder cancer treated with curative-intent radical cystectomy: A cohort study. PLoS Med 2021; 18:e1003732. [PMID: 34464379 PMCID: PMC8407541 DOI: 10.1371/journal.pmed.1003732] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 07/12/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND The standard of care treatment for muscle-invasive bladder cancer (MIBC) is radical cystectomy, which is typically preceded by neoadjuvant chemotherapy. However, the inability to assess minimal residual disease (MRD) noninvasively limits our ability to offer bladder-sparing treatment. Here, we sought to develop a liquid biopsy solution via urine tumor DNA (utDNA) analysis. METHODS AND FINDINGS We applied urine Cancer Personalized Profiling by Deep Sequencing (uCAPP-Seq), a targeted next-generation sequencing (NGS) method for detecting utDNA, to urine cell-free DNA (cfDNA) samples acquired between April 2019 and November 2020 on the day of curative-intent radical cystectomy from 42 patients with localized bladder cancer. The average age of patients was 69 years (range: 50 to 86), of whom 76% (32/42) were male, 64% (27/42) were smokers, and 76% (32/42) had a confirmed diagnosis of MIBC. Among MIBC patients, 59% (19/32) received neoadjuvant chemotherapy. utDNA variant calling was performed noninvasively without prior sequencing of tumor tissue. The overall utDNA level for each patient was represented by the non-silent mutation with the highest variant allele fraction after removing germline variants. Urine was similarly analyzed from 15 healthy adults. utDNA analysis revealed a median utDNA level of 0% in healthy adults and 2.4% in bladder cancer patients. When patients were classified as those who had residual disease detected in their surgical sample (n = 16) compared to those who achieved a pathologic complete response (pCR; n = 26), median utDNA levels were 4.3% vs. 0%, respectively (p = 0.002). Using an optimal utDNA threshold to define MRD detection, positive utDNA MRD detection was highly correlated with the absence of pCR (p < 0.001) with a sensitivity of 81% and specificity of 81%. Leave-one-out cross-validation applied to the prediction of pathologic response based on utDNA MRD detection in our cohort yielded a highly significant accuracy of 81% (p = 0.007). Moreover, utDNA MRD-positive patients exhibited significantly worse progression-free survival (PFS; HR = 7.4; 95% CI: 1.4-38.9; p = 0.02) compared to utDNA MRD-negative patients. Concordance between urine- and tumor-derived mutations, determined in 5 MIBC patients, was 85%. Tumor mutational burden (TMB) in utDNA MRD-positive patients was inferred from the number of non-silent mutations detected in urine cfDNA by applying a linear relationship derived from The Cancer Genome Atlas (TCGA) whole exome sequencing of 409 MIBC tumors. We suggest that about 58% of these patients with high inferred TMB might have been candidates for treatment with early immune checkpoint blockade. Study limitations included an analysis restricted only to single-nucleotide variants (SNVs), survival differences diminished by surgery, and a low number of DNA damage response (DRR) mutations detected after neoadjuvant chemotherapy at the MRD time point. CONCLUSIONS utDNA MRD detection prior to curative-intent radical cystectomy for bladder cancer correlated significantly with pathologic response, which may help select patients for bladder-sparing treatment. utDNA MRD detection also correlated significantly with PFS. Furthermore, utDNA can be used to noninvasively infer TMB, which could facilitate personalized immunotherapy for bladder cancer in the future.
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Affiliation(s)
- Pradeep S. Chauhan
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Kevin Chen
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Ramandeep K. Babbra
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Wenjia Feng
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Nadja Pejovic
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Armaan Nallicheri
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Peter K. Harris
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Katherine Dienstbach
- Division of Medical Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, United States of America
- Siteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Andrew Atkocius
- Division of Medical Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, United States of America
- Siteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Lenon Maguire
- Division of Medical Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, United States of America
- Siteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Faridi Qaium
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Jeffrey J. Szymanski
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Brian C. Baumann
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America
- Siteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Li Ding
- Division of Medical Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, United States of America
- Siteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St. Louis, Missouri, United States of America
- Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, Missouri, United States of America
- Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Dengfeng Cao
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Melissa A. Reimers
- Division of Medical Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, United States of America
- Siteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Eric H. Kim
- Siteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St. Louis, Missouri, United States of America
- Division of Urology, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Zachary L. Smith
- Siteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St. Louis, Missouri, United States of America
- Division of Urology, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Vivek K. Arora
- Division of Medical Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, United States of America
- Siteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Aadel A. Chaudhuri
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America
- Siteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St. Louis, Missouri, United States of America
- Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America
- Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, Missouri, United States of America
- Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, Missouri, United States of America
- Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, Missouri, United States of America
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