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Lee S, Bondaruk J, Wang Y, Chen H, Lee JG, Majewski T, Mullen RD, Cogdell D, Chen J, Wang Z, Yao H, Kus P, Jeong J, Lee I, Choi W, Navai N, Guo C, Dinney C, Baggerly K, Mendelsohn C, McConkey D, Behringer RR, Kimmel M, Wei P, Czerniak B. Loss of LPAR6 and CAB39L dysregulates the basal-to-luminal urothelial differentiation program, contributing to bladder carcinogenesis. Cell Rep 2024; 43:114146. [PMID: 38676926 PMCID: PMC11265536 DOI: 10.1016/j.celrep.2024.114146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 02/19/2024] [Accepted: 04/09/2024] [Indexed: 04/29/2024] Open
Abstract
We describe a strategy that combines histologic and molecular mapping that permits interrogation of the chronology of changes associated with cancer development on a whole-organ scale. Using this approach, we present the sequence of alterations around RB1 in the development of bladder cancer. We show that RB1 is not involved in initial expansion of the preneoplastic clone. Instead, we found a set of contiguous genes that we term "forerunner" genes whose silencing is associated with the development of plaque-like field effects initiating carcinogenesis. Specifically, we identified five candidate forerunner genes (ITM2B, LPAR6, MLNR, CAB39L, and ARL11) mapping near RB1. Two of these genes, LPAR6 and CAB39L, are preferentially downregulated in the luminal and basal subtypes of bladder cancer, respectively. Their loss of function dysregulates urothelial differentiation, sensitizing the urothelium to N-butyl-N-(4-hydroxybutyl)nitrosamine-induced cancers, which recapitulate the luminal and basal subtypes of human bladder cancer.
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Affiliation(s)
- Sangkyou Lee
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jolanta Bondaruk
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Yishan Wang
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Huiqin Chen
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - June Goo Lee
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Tadeusz Majewski
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Rachel D Mullen
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - David Cogdell
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jiansong Chen
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ziqiao Wang
- Department of Biostatistics, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Hui Yao
- Department of Bioinformatics & Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Pawel Kus
- Department of Systems Biology and Engineering, Silesian University of Technology, Gliwice, Poland
| | - Joon Jeong
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ilkyun Lee
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Woonyoung Choi
- Johns Hopkins Greenberg Bladder Cancer Institute, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Neema Navai
- Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Charles Guo
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Colin Dinney
- Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Keith Baggerly
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Cathy Mendelsohn
- Department of Urology, Genetics & Development and Pathology, Columbia University, New York, NY 10032, USA
| | - David McConkey
- Johns Hopkins Greenberg Bladder Cancer Institute, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Richard R Behringer
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Marek Kimmel
- Department of Statistics, Rice University, Houston, TX 77005, USA
| | - Peng Wei
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Bogdan Czerniak
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
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Bondaruk J, Jaksik R, Wang Z, Cogdell D, Lee S, Chen Y, Dinh KN, Majewski T, Zhang L, Cao S, Tian F, Yao H, Kuś P, Chen H, Weinstein JN, Navai N, Dinney C, Gao J, Theodorescu D, Logothetis C, Guo CC, Wang W, McConkey D, Wei P, Kimmel M, Czerniak B. The origin of bladder cancer from mucosal field effects. iScience 2022; 25:104551. [PMID: 35747385 PMCID: PMC9209726 DOI: 10.1016/j.isci.2022.104551] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 11/19/2021] [Accepted: 06/02/2022] [Indexed: 12/30/2022] Open
Abstract
Whole-organ mapping was used to study molecular changes in the evolution of bladder cancer from field effects. We identified more than 100 dysregulated pathways, involving immunity, differentiation, and transformation, as initiators of carcinogenesis. Dysregulation of interleukins signified the involvement of inflammation in the incipient phases of the process. An aberrant methylation/expression of multiple HOX genes signified dysregulation of the differentiation program. We identified three types of mutations based on their geographic distribution. The most common were mutations restricted to individual mucosal samples that targeted uroprogenitor cells. Two types of mutations were associated with clonal expansion and involved large areas of mucosa. The α mutations occurred at low frequencies while the β mutations increased in frequency with disease progression. Modeling revealed that bladder carcinogenesis spans 10-15 years and can be divided into dormant and progressive phases. The progressive phase lasted 1-2 years and was driven by β mutations.
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Affiliation(s)
- Jolanta Bondaruk
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Roman Jaksik
- Department of Systems Biology and Engineering and Biotechnology Centre, Silesian University of Technology, Gliwice, Poland
| | - Ziqiao Wang
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - David Cogdell
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sangkyou Lee
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yujie Chen
- Systems, Synthetic and Physical Biology Program, Rice University, Houston, TX, USA
| | - Khanh Ngoc Dinh
- Department of Statistics and the Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA
| | - Tadeusz Majewski
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Li Zhang
- Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
| | - Shaolong Cao
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Feng Tian
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hui Yao
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Paweł Kuś
- Department of Systems Biology and Engineering and Biotechnology Centre, Silesian University of Technology, Gliwice, Poland
| | - Huiqin Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - John N. Weinstein
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Neema Navai
- Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Colin Dinney
- Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianjun Gao
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, TX, USA
| | - Dan Theodorescu
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai, Los Angeles, CA, USA
| | - Christopher Logothetis
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, TX, USA
| | - Charles C. Guo
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wenyi Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - David McConkey
- Johns Hopkins Greenberg Bladder Cancer Institute, Johns Hopkins University, Baltimore, MD, USA
| | - Peng Wei
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marek Kimmel
- Department of Statistics, Rice University, Houston, TX, USA
| | - Bogdan Czerniak
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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3
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Assessment of Luminal and Basal Phenotypes in Bladder Cancer. Sci Rep 2020; 10:9743. [PMID: 32546765 PMCID: PMC7298008 DOI: 10.1038/s41598-020-66747-7] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 05/21/2020] [Indexed: 12/11/2022] Open
Abstract
Genomic profiling studies have demonstrated that bladder cancer can be divided into two molecular subtypes referred to as luminal and basal with distinct clinical behaviors and sensitivities to frontline chemotherapy. We analyzed the mRNA expressions of signature luminal and basal genes in bladder cancer tumor samples from publicly available and MD Anderson Cancer Center cohorts. We developed a quantitative classifier referred to as basal to luminal transition (BLT) score which identified the molecular subtypes of bladder cancer with 80–94% sensitivity and 83–93% specificity. In order to facilitate molecular subtyping of bladder cancer in primary care centers, we analyzed the protein expressions of signature luminal (GATA3) and basal (KRT5/6) markers by immunohistochemistry, which identified molecular subtypes in over 80% of the cases. In conclusion, we provide a tool for assessment of molecular subtypes of bladder cancer in routine clinical practice.
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