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Chen Y, Gao Z, Mohd‐Ibrahim I, Yang H, Wu L, Fu Y, Deng Y. Pan-cancer analyses of bromodomain containing 9 as a novel therapeutic target reveals its diagnostic, prognostic potential and biological mechanism in human tumours. Clin Transl Med 2024; 14:e1543. [PMID: 38303608 PMCID: PMC10835192 DOI: 10.1002/ctm2.1543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 12/22/2023] [Accepted: 12/27/2023] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND Mutations in one or more genes responsible for encoding subunits within the SWItch/Sucrose Non-Fermentable (SWI/SNF) chromatin-remodelling complexes are found in approximately 25% of cancer patients. Bromodomain containing 9 (BRD9) is a more recently identified protein coding gene, which can encode SWI/SNF chromatin-remodelling complexes subunits. Although initial evaluations of the potential of BRD9-based targeted therapy have been explored in the clinical application of a small number of cancer types, more detailed study of the diagnostic and prognostic potential, as well as the detailed biological mechanism of BRD9 remains unreported. METHODS We used various bioinformatics tools to generate a comprehensive, pan-cancer analyses of BRD9 expression in multiple disease types described in The Cancer Genome Atlas (TCGA). Experimental validation was conducted in tissue microarrays and cell lines derived from lung and colon cancers. RESULTS Our study revealed that BRD9 exhibited elevated expression in a wide range of tumours. Analysis of survival data and DNA methylation for BRD9 indicated distinct conclusions for multiple tumours. mRNA splicing and molecular binding were involved in the functional mechanism of BRD9. BRD9 may affect cancer progression through different phosphorylation sites or N6 -methyladenosine site modifications. BRD9 could potentially serve as a novel biomarker for diagnosing different cancer types, especially could accurately forecast the prognosis of melanoma patients receiving anti-programmed cell death 1 immunotherapy. BRD9 has the potential to serve as a therapeutic target, when pairing with etoposide in patients with melanoma. The BRD9/SMARCD1 axis exhibited promising discriminative performance in forecasting the prognosis of patients afflicted with liver hepatocellular carcinoma (LIHC) and mesothelioma. Additionally, this axis appears to potentially influence the immune response in LIHC by regulating the programmed death-ligand 1 immune checkpoint. For experimental validation, high expression levels of BRD9 were observed in tumour tissue samples from both lung and colon cancer patients. Knocking down BRD9 led to the inhibition of lung and colon cancer development, likely via the Wnt/β-catenin signalling pathway. CONCLUSIONS These pan-cancer study revealed the diagnostic and prognostic potential, along with the biological mechanism of BRD9 as a novel therapeutic target in human tumours.
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Affiliation(s)
- Yu Chen
- Department of Quantitative Health SciencesJohn A. Burns School of MedicineUniversity of Hawaii at ManoaHonoluluHawaiiUSA
- Department of Molecular Biosciences and BioengineeringCollege of Tropical Agriculture and Human ResourcesAgricultural SciencesUniversity of Hawaii at ManoaHonoluluHawaiiUSA
| | - Zitong Gao
- Department of Quantitative Health SciencesJohn A. Burns School of MedicineUniversity of Hawaii at ManoaHonoluluHawaiiUSA
- Department of Molecular Biosciences and BioengineeringCollege of Tropical Agriculture and Human ResourcesAgricultural SciencesUniversity of Hawaii at ManoaHonoluluHawaiiUSA
| | - Isam Mohd‐Ibrahim
- Department of Quantitative Health SciencesJohn A. Burns School of MedicineUniversity of Hawaii at ManoaHonoluluHawaiiUSA
- Department of Molecular Biosciences and BioengineeringCollege of Tropical Agriculture and Human ResourcesAgricultural SciencesUniversity of Hawaii at ManoaHonoluluHawaiiUSA
| | - Hua Yang
- Department of Quantitative Health SciencesJohn A. Burns School of MedicineUniversity of Hawaii at ManoaHonoluluHawaiiUSA
| | - Lang Wu
- Cancer Epidemiology DivisionPopulation Sciences in the Pacific ProgramUniversity of Hawaii Cancer CenterUniversity of Hawaii at ManoaHonoluluHawaiiUSA
| | - Yuanyuan Fu
- Department of Quantitative Health SciencesJohn A. Burns School of MedicineUniversity of Hawaii at ManoaHonoluluHawaiiUSA
| | - Youping Deng
- Department of Quantitative Health SciencesJohn A. Burns School of MedicineUniversity of Hawaii at ManoaHonoluluHawaiiUSA
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Ugai T, Shimizu T, Kawamura H, Ugai S, Takashima Y, Usui G, Väyrynen JP, Okadome K, Haruki K, Akimoto N, Masugi Y, da Silva A, Mima K, Zhang X, Chan AT, Wang M, Garrett WS, Freeman GJ, Meyerhardt JA, Nowak JA, Song M, Giannakis M, Ogino S. Inverse relationship between Fusobacterium nucleatum amount and tumor CD274 (PD-L1) expression in colorectal carcinoma. Clin Transl Immunology 2023; 12:e1453. [PMID: 37538192 PMCID: PMC10394676 DOI: 10.1002/cti2.1453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 05/19/2023] [Accepted: 05/25/2023] [Indexed: 08/05/2023] Open
Abstract
Objectives The CD274 (programmed cell death 1 ligand 1, PD-L1)/PDCD1 (programmed cell death 1, PD-1) immune checkpoint axis is known to regulate the antitumor immune response. Evidence also supports an immunosuppressive effect of Fusobacterium nucleatum. We hypothesised that tumor CD274 overexpression might be inversely associated with abundance of F. nucleatum in colorectal carcinoma. Methods We assessed tumor CD274 expression by immunohistochemistry and F. nucleatum DNA within tumor tissue by quantitative PCR in 812 cases among 4465 incident rectal and colon cancer cases that had occurred in two prospective cohort studies. Multivariable logistic regression analyses with inverse probability weighting were used to adjust for selection bias because of tissue data availability and potential confounders including microsatellite instability status, CpG island methylator phenotype, LINE-1 methylation level and KRAS, BRAF and PIK3CA mutations. Results Fusobacterium nucleatum DNA was detected in tumor tissue in 109 (13%) cases. Tumor CD274 expression level was inversely associated with the amount of F. nucleatum in colorectal cancer tissue (P = 0.0077). For one category-unit increase in three ordinal F. nucleatum categories (negative vs. low vs. high), multivariable-adjusted odds ratios (with 95% confidence interval) of the low, intermediate and high CD274 categories (vs. negative) were 0.78 (0.41-1.51), 0.64 (0.32-1.28) and 0.50 (0.25-0.99), respectively (P trend = 0.032). Conclusions Tumor CD274 expression level was inversely associated with the amount of F. nucleatum in colorectal cancer tissue, suggesting that different immunosuppressive mechanisms (i.e. PDCD1 immune checkpoint activation and tumor F. nucleatum enrichment) tend to be used by different tumor subgroups.
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Affiliation(s)
- Tomotaka Ugai
- Program in MPE Molecular Pathological Epidemiology, Department of PathologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMAUSA
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMAUSA
| | - Takashi Shimizu
- Program in MPE Molecular Pathological Epidemiology, Department of PathologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMAUSA
| | - Hidetaka Kawamura
- Program in MPE Molecular Pathological Epidemiology, Department of PathologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMAUSA
| | - Satoko Ugai
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMAUSA
| | - Yasutoshi Takashima
- Program in MPE Molecular Pathological Epidemiology, Department of PathologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMAUSA
| | - Genki Usui
- Program in MPE Molecular Pathological Epidemiology, Department of PathologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMAUSA
| | - Juha P Väyrynen
- Program in MPE Molecular Pathological Epidemiology, Department of PathologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMAUSA
- Department of Medical OncologyDana‐Farber Cancer Institute and Harvard Medical SchoolBostonMAUSA
- Cancer and Translational Medicine Research Unit, Medical Research Center OuluOulu University Hospital and University of OuluOuluFinland
| | - Kazuo Okadome
- Program in MPE Molecular Pathological Epidemiology, Department of PathologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMAUSA
| | - Koichiro Haruki
- Program in MPE Molecular Pathological Epidemiology, Department of PathologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMAUSA
| | - Naohiko Akimoto
- Program in MPE Molecular Pathological Epidemiology, Department of PathologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMAUSA
| | - Yohei Masugi
- Program in MPE Molecular Pathological Epidemiology, Department of PathologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMAUSA
| | | | - Kosuke Mima
- Department of Gastroenterological Surgery, Graduate School of Medical SciencesKumamoto UniversityKumamotoJapan
| | - Xuehong Zhang
- Channing Division of Network Medicine, Department of MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMAUSA
- Department of NutritionHarvard T.H. Chan School of Public HealthBostonMAUSA
| | - Andrew T Chan
- Channing Division of Network Medicine, Department of MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMAUSA
- Clinical and Translational Epidemiology UnitMassachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Division of GastroenterologyMassachusetts General HospitalBostonMAUSA
- Department of Immunology and Infectious DiseasesHarvard T.H. Chan School of Public HealthBostonMAUSA
| | - Molin Wang
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMAUSA
- Channing Division of Network Medicine, Department of MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMAUSA
- Department of BiostatisticsHarvard T.H. Chan School of Public HealthBostonMAUSA
| | - Wendy S Garrett
- Department of Medical OncologyDana‐Farber Cancer Institute and Harvard Medical SchoolBostonMAUSA
- Department of Immunology and Infectious DiseasesHarvard T.H. Chan School of Public HealthBostonMAUSA
- Department of Molecular MetabolismHarvard T.H. Chan School of Public HealthBostonMAUSA
- Harvard T.H. Chan Microbiome in Public Health CenterBostonMAUSA
- Broad Institute of MIT and HarvardCambridgeMAUSA
- Department of MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMAUSA
| | - Gordon J Freeman
- Department of Medical OncologyDana‐Farber Cancer Institute and Harvard Medical SchoolBostonMAUSA
| | - Jeffrey A Meyerhardt
- Department of Medical OncologyDana‐Farber Cancer Institute and Harvard Medical SchoolBostonMAUSA
| | - Jonathan A Nowak
- Program in MPE Molecular Pathological Epidemiology, Department of PathologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMAUSA
| | - Mingyang Song
- Department of NutritionHarvard T.H. Chan School of Public HealthBostonMAUSA
- Clinical and Translational Epidemiology UnitMassachusetts General Hospital and Harvard Medical SchoolBostonMAUSA
- Division of GastroenterologyMassachusetts General HospitalBostonMAUSA
| | - Marios Giannakis
- Department of Medical OncologyDana‐Farber Cancer Institute and Harvard Medical SchoolBostonMAUSA
- Broad Institute of MIT and HarvardCambridgeMAUSA
- Department of MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMAUSA
| | - Shuji Ogino
- Program in MPE Molecular Pathological Epidemiology, Department of PathologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMAUSA
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMAUSA
- Broad Institute of MIT and HarvardCambridgeMAUSA
- Cancer Immunology and Cancer Epidemiology ProgramsDana‐Farber Harvard Cancer CenterBostonMAUSA
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Viteri S, Minchom A, Bazhenova L, Ou SI, Bauml JM, Shell SA, Schaffer M, Gu J, Rose JB, Curtin JC, Mahadevia P, Girard N. Frequency, underdiagnosis, and heterogeneity of epidermal growth factor receptor exon 20 insertion mutations using real-world genomic datasets. Mol Oncol 2023; 17:230-237. [PMID: 36269676 PMCID: PMC9892822 DOI: 10.1002/1878-0261.13327] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 08/24/2022] [Accepted: 10/20/2022] [Indexed: 02/04/2023] Open
Abstract
Epidermal growth factor receptor (EGFR) exon 20 insertion mutations (ex20ins) account for ≤ 12% of all EGFR-mutant nonsmall cell lung cancers. We analysed real-world datasets to determine the frequency of ex20ins variants, and the ability of polymerase chain reaction (PCR) and next-generation sequencing (NGS) to identify them. Three real-world United States NGS databases were used: GENIE, FoundationInsights, and GuardantINFORM. Mutation profiles consistent with in-frame EGFR ex20ins were summarized. GENIE, FoundationInsights, and GuardantINFORM datasets identified 180, 627, and 627 patients with EGFR ex20ins respectively. The most frequent insertion region of exon 20 was the near loop (~ 70%), followed by the far loop (~ 30%) and the helical (~ 3-6%) regions. GENIE, FoundationInsights, and GuardantINFORM datasets identified 41, 102, and 96 unique variants respectively. An analysis of variants projected that ~ 50% of EGFR ex20ins identified by NGS would have been missed by PCR-based assays. Given the breadth of EGFR ex20ins identified in the real-world US datasets, the ability of PCR to identify these mutations is limited. NGS platforms are more appropriate to identify patients likely to benefit from EGFR ex20ins-targeted therapies.
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Affiliation(s)
| | - Anna Minchom
- Drug Development UnitRoyal Marsden/Institute of Cancer ResearchSuttonUK
| | | | - Sai‐Hong Ignatius Ou
- Chao Family Comprehensive Cancer CenterUniversity of California Irvine School of MedicineOrangeCAUSA
| | - Joshua M. Bauml
- Perelman School of Medicine at the University of PennsylvaniaPhiladelphiaPAUSA
- Present address:
Janssen R&DSpring HousePAUSA
| | | | | | | | | | | | | | - Nicolas Girard
- Institut CurieInstitut du Thorax Curie‐MontsourisParisFrance
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Routh ED, Van Swearingen AED, Sambade MJ, Vensko S, McClure MB, Woodcock MG, Chai S, Cuaboy LA, Wheless A, Garrett A, Carey LA, Hoyle AP, Parker JS, Vincent BG, Anders CK. Comprehensive Analysis of the Immunogenomics of Triple-Negative Breast Cancer Brain Metastases From LCCC1419. Front Oncol 2022; 12:818693. [PMID: 35992833 PMCID: PMC9387304 DOI: 10.3389/fonc.2022.818693] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 05/30/2022] [Indexed: 11/23/2022] Open
Abstract
Background Triple negative breast cancer (TNBC) is an aggressive variant of breast cancer that lacks the expression of estrogen and progesterone receptors (ER and PR) and HER2. Nearly 50% of patients with advanced TNBC will develop brain metastases (BrM), commonly with progressive extracranial disease. Immunotherapy has shown promise in the treatment of advanced TNBC; however, the immune contexture of BrM remains largely unknown. We conducted a comprehensive analysis of TNBC BrM and matched primary tumors to characterize the genomic and immune landscape of TNBC BrM to inform the development of immunotherapy strategies in this aggressive disease. Methods Whole-exome sequencing (WES) and RNA sequencing were conducted on formalin-fixed, paraffin-embedded samples of BrM and primary tumors of patients with clinical TNBC (n = 25, n = 9 matched pairs) from the LCCC1419 biobank at UNC—Chapel Hill. Matched blood was analyzed by DNA sequencing as a comparison for tumor WES for the identification of somatic variants. A comprehensive genomics assessment, including mutational and copy number alteration analyses, neoantigen prediction, and transcriptomic analysis of the tumor immune microenvironment were performed. Results Primary and BrM tissues were confirmed as TNBC (23/25 primaries, 16/17 BrM) by immunohistochemistry and of the basal intrinsic subtype (13/15 primaries and 16/19 BrM) by PAM50. Compared to primary tumors, BrM demonstrated a higher tumor mutational burden. TP53 was the most frequently mutated gene and was altered in 50% of the samples. Neoantigen prediction showed elevated cancer testis antigen- and endogenous retrovirus-derived MHC class I-binding peptides in both primary tumors and BrM and predicted that single-nucleotide variant (SNV)-derived peptides were significantly higher in BrM. BrM demonstrated a reduced immune gene signature expression, although a signature associated with fibroblast-associated wound healing was elevated in BrM. Metrics of T and B cell receptor diversity were also reduced in BrM. Conclusions BrM harbored higher mutational burden and SNV-derived neoantigen expression along with reduced immune gene signature expression relative to primary TNBC. Immune signatures correlated with improved survival, including T cell signatures. Further research will expand these findings to other breast cancer subtypes in the same biobank. Exploration of immunomodulatory approaches including vaccine applications and immune checkpoint inhibition to enhance anti-tumor immunity in TNBC BrM is warranted.
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Affiliation(s)
- Eric D. Routh
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Amanda E. D. Van Swearingen
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Maria J. Sambade
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Steven Vensko
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Marni B. McClure
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- National Cancer Center Research Institute, Tokyo, Japan
| | - Mark G. Woodcock
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Medicine, Division of Medical Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Shengjie Chai
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Curriculum in Bioinformatics and Computational Biology, UNC School of Medicine, Chapel Hill, NC, United States
| | - Luz A. Cuaboy
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Amy Wheless
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Amy Garrett
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Lisa A. Carey
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Medicine, Division of Medical Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Alan P. Hoyle
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Joel S. Parker
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Benjamin G. Vincent
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Medicine, Division of Medical Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Curriculum in Bioinformatics and Computational Biology, UNC School of Medicine, Chapel Hill, NC, United States
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Division of Hematology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Carey K. Anders
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Medicine, Division of Medical Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- *Correspondence: Carey K. Anders,
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Shi P, Tian J, Ulm BS, Mallinger JC, Khoshbouei H, Deleyrolle LP, Sarkisian MR. Tumor Treating Fields Suppression of Ciliogenesis Enhances Temozolomide Toxicity. Front Oncol 2022; 12:837589. [PMID: 35359402 PMCID: PMC8962950 DOI: 10.3389/fonc.2022.837589] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 02/03/2022] [Indexed: 12/19/2022] Open
Abstract
Tumor Treating Fields (TTFields) are low-intensity, alternating intermediate-frequency (200 kHz) electrical fields that extend survival of glioblastoma patients receiving maintenance temozolomide (TMZ) chemotherapy. How TTFields exert efficacy on cancer over normal cells or interact with TMZ is unclear. Primary cilia are microtubule-based organelles triggered by extracellular ligands, mechanical and electrical field stimulation and are capable of promoting cancer growth and TMZ chemoresistance. We found in both low- and high-grade patient glioma cell lines that TTFields ablated cilia within 24 h. Halting TTFields treatment led to recovered frequencies of elongated cilia. Cilia on normal primary astrocytes, neurons, and multiciliated/ependymal cells were less affected by TTFields. The TTFields-mediated loss of glioma cilia was partially rescued by chloroquine pretreatment, suggesting the effect is in part due to autophagy activation. We also observed death of ciliated cells during TTFields by live imaging. Notably, TMZ and TTFields have opposing effects on glioma ciliogenesis. TMZ-induced stimulation of ciliogenesis in both adherent cells and gliomaspheres was blocked by TTFields. Surprisingly, the inhibitory effects of TTFields and TMZ on tumor cell recurrence are linked to the relative timing of TMZ exposure to TTFields and ARL13B+ cilia. Finally, TTFields disrupted cilia in patient tumors treated ex vivo. Our findings suggest that the efficacy of TTFields may depend on the degree of tumor ciliogenesis and relative timing of TMZ treatment.
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Affiliation(s)
- Ping Shi
- Department of Neuroscience, University of Florida College of Medicine, Gainesville, FL, United States
| | - Jia Tian
- Department of Neuroscience, University of Florida College of Medicine, Gainesville, FL, United States
| | - Brittany S. Ulm
- Department of Neuroscience, University of Florida College of Medicine, Gainesville, FL, United States
| | - Julianne C. Mallinger
- Department of Neuroscience, University of Florida College of Medicine, Gainesville, FL, United States
| | - Habibeh Khoshbouei
- Department of Neuroscience, University of Florida College of Medicine, Gainesville, FL, United States
| | - Loic P. Deleyrolle
- Department of Neurosurgery, University of Florida College of Medicine, Gainesville, FL, United States
- Preston A. Wells Jr. Center for Brain Tumor Therapy, University of Florida College of Medicine, Gainesville, FL, United States
| | - Matthew R. Sarkisian
- Department of Neuroscience, University of Florida College of Medicine, Gainesville, FL, United States
- Preston A. Wells Jr. Center for Brain Tumor Therapy, University of Florida College of Medicine, Gainesville, FL, United States
- *Correspondence: Matthew R. Sarkisian,
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Abstract
Tumor-infiltrating B cells can play an important role in anti-tumor responses but their presence is not well understood. In this study, we extracted the B cell receptor repertoires from 9522 tumor and adjacent non-tumor samples across 28 tumor types in the Cancer Genome Atlas project and performed diversity and network analysis. We identified differences in diversity and network statistics across tumor types and subtypes and observed a trend towards increased clonality in primary tumors compared to adjacent non-tumor tissues. We also found significant associations between the repertoire features and mutation load, tumor stage, and age. Our V-gene usage analysis identified similar V-gene usage patterns in colorectal and endometrial cancers. Lastly, we evaluated the prognostic value of the repertoire features and identified significant associations with survival in seven tumor types. This study warrants further research into better understanding the role of tumor-infiltrating B cells across a wide range of tumor types.
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Affiliation(s)
- Katharine Yu
- Bakar Computational Health Sciences Institute, University of California, San Francisco (UCSF), San Francisco, CA, United States
- Department of Pediatrics, University of California, San Francisco (UCSF), San Francisco, CA, United States
| | - Akshay Ravoor
- Bakar Computational Health Sciences Institute, University of California, San Francisco (UCSF), San Francisco, CA, United States
| | - Núria Malats
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), and Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain
| | - Silvia Pineda
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), and Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain
| | - Marina Sirota
- Bakar Computational Health Sciences Institute, University of California, San Francisco (UCSF), San Francisco, CA, United States
- Department of Pediatrics, University of California, San Francisco (UCSF), San Francisco, CA, United States
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Rominiyi O, Collis SJ. DDRugging glioblastoma: understanding and targeting the DNA damage response to improve future therapies. Mol Oncol 2022; 16:11-41. [PMID: 34036721 PMCID: PMC8732357 DOI: 10.1002/1878-0261.13020] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 05/11/2021] [Accepted: 05/24/2021] [Indexed: 12/13/2022] Open
Abstract
Glioblastoma is the most frequently diagnosed type of primary brain tumour in adults. These aggressive tumours are characterised by inherent treatment resistance and disease progression, contributing to ~ 190 000 brain tumour-related deaths globally each year. Current therapeutic interventions consist of surgical resection followed by radiotherapy and temozolomide chemotherapy, but average survival is typically around 1 year, with < 10% of patients surviving more than 5 years. Recently, a fourth treatment modality of intermediate-frequency low-intensity electric fields [called tumour-treating fields (TTFields)] was clinically approved for glioblastoma in some countries after it was found to increase median overall survival rates by ~ 5 months in a phase III randomised clinical trial. However, beyond these treatments, attempts to establish more effective therapies have yielded little improvement in survival for patients over the last 50 years. This is in contrast to many other types of cancer and highlights glioblastoma as a recognised tumour of unmet clinical need. Previous work has revealed that glioblastomas contain stem cell-like subpopulations that exhibit heightened expression of DNA damage response (DDR) factors, contributing to therapy resistance and disease relapse. Given that radiotherapy, chemotherapy and TTFields-based therapies all impact DDR mechanisms, this Review will focus on our current knowledge of the role of the DDR in glioblastoma biology and treatment. We also discuss the potential of effective multimodal targeting of the DDR combined with standard-of-care therapies, as well as emerging therapeutic targets, in providing much-needed improvements in survival rates for patients.
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Affiliation(s)
- Ola Rominiyi
- Weston Park Cancer CentreSheffieldUK
- Department of Oncology & MetabolismThe University of Sheffield Medical SchoolUK
- Department of NeurosurgeryRoyal Hallamshire HospitalSheffield Teaching Hospitals NHS Foundation TrustUK
| | - Spencer J. Collis
- Weston Park Cancer CentreSheffieldUK
- Department of Oncology & MetabolismThe University of Sheffield Medical SchoolUK
- Sheffield Institute for Nucleic Acids (SInFoNiA)University of SheffieldUK
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