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Nakasu S, Deguchi S, Nakasu Y. Frequency and Prognostic Impact of CDKN2A/B Alteration in Oligodendrogliomas: Systematic Review and Meta-analysis. Neurol Med Chir (Tokyo) 2024; 64:442-450. [PMID: 39443123 PMCID: PMC11729257 DOI: 10.2176/jns-nmc.2024-0105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2024] [Accepted: 08/14/2024] [Indexed: 10/25/2024] Open
Abstract
Isocitrate dehydrogenase (IDH) -mutant astrocytomas with homozygous deletion of cyclin-dependent kinase 2A/B (CDKN2A/B-HomoD) are categorized to grade 4 in the new World Health Organization (WHO) classification. However, the clinical implications of CDKN2A/B-HomoD in oligodendrogliomas remain unclear. This study systematically reviewed and meta-analyzed the literature on molecularly defined oligodendrogliomas (mOlig) to find the frequency and prognostic significance of CDKN2A/B gene alterations. Overall survival was worse in patients with CDKN2A/B-HomoD [pooled hazard ratio (pHR) 2.44; 95% confidential interval (CI), 1.59-3.76; P < 0.0001; 7 studies, 1,012 patients] than in those without CDKN2A/B-HomoD. Although the frequency (95% CI) was very low in grade 2 tumors (0.31%; 0.02-0.4) than in grade 3 tumors (9.4%; 6.2-14.0; I2 = 52.0%), pHR of multivariate analyses with covariates of WHO grade and age was still significant (P = 0.017). In contrast, the method in CDKN2A/B evaluation was a significant factor for the heterogeneity in frequency. The pooled frequency of CDKN2A/B-HomoD in grade 3 mOlig by fluorescence in situ hybridization (FISH) (20.3%) was higher than that by other methods (7.3%; P < 0.0006), probably due to the lower threshold for CDKN2A/B-HomoD in FISH studies that was used in this analysis. The frequency (95% CI) of other alterations of the CDKN2A/B gene, i.e., mutation, hemizygous deletion, and promoter methylation, was estimated as 1.48% (0.6-3.5), 15.9% (9.8-24.7), and 20.6% (13.7-29.8), respectively. The clinical significance of these alterations remains unclear due to the immaturity of the investigations.
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Affiliation(s)
| | - Shoichi Deguchi
- Department of Neurosurgery, Nagoya University Graduate School of Medicine
- Division of Neurosurgery, Shizuoka Cancer Center
| | - Yoko Nakasu
- Department of Neurosurgery, Shiga University of Medical Science
- Division of Neurosurgery, Shizuoka Cancer Center
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Yang J, Feng J, Lv J, Chu X, Wei Y, Zhang Y, Li J, Sun Y, Li G, Jiang T, Huang J, Fan X. PTBP1-mediated repression of neuron-specific CDC42 splicing constitutes a genomic alteration-independent, developmentally conserved vulnerability in IDH-wildtype glioblastoma. Funct Integr Genomics 2024; 24:135. [PMID: 39117866 DOI: 10.1007/s10142-024-01412-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Revised: 07/22/2024] [Accepted: 07/25/2024] [Indexed: 08/10/2024]
Abstract
Gene co-expression networks may encode hitherto inadequately recognized vulnerabilities for adult gliomas. By identifying evolutionally conserved gene co-expression modules around EGFR (EM) or PDGFRA (PM), we recently proposed an EM/PM classification scheme, which assigns IDH-wildtype glioblastomas (GBM) into the EM subtype committed in neural stem cell compartment, IDH-mutant astrocytomas and oligodendrogliomas into the PM subtype committed in early oligodendrocyte lineage. Here, we report the identification of EM/PM subtype-specific gene co-expression networks and the characterization of hub gene polypyrimidine tract-binding protein 1 (PTBP1) as a genomic alteration-independent vulnerability in IDH-wildtype GBM. Supervised by the EM/PM classification scheme, we applied weighted gene co-expression network analysis to identify subtype-specific global gene co-expression modules. These gene co-expression modules were characterized for their clinical relevance, cellular origin and conserved expression pattern during brain development. Using lentiviral vector-mediated constitutive or inducible knockdown, we characterized the effects of PTBP1 on the survival of IDH-wildtype GBM cells, which was complemented with the analysis of PTBP1-depedent splicing pattern and overexpression of splicing target neuron-specific CDC42 (CDC42-N) isoform. Transcriptomes of adult gliomas can be robustly assigned into 4 large gene co-expression modules that are prognostically relevant and are derived from either malignant cells of the EM/PM subtypes or tumor microenvironment. The EM subtype is associated with a malignant cell-intrinsic gene module involved in pre-mRNA splicing, DNA replication and damage response, and chromosome segregation, and a microenvironment-derived gene module predominantly involved in extracellular matrix organization and infiltrating immune cells. The PM subtype is associated with two malignant cell-intrinsic gene modules predominantly involved in transcriptional regulation and mRNA translation, respectively. Expression levels of these gene modules are independent prognostic factors and malignant cell-intrinsic gene modules are conserved during brain development. Focusing on the EM subtype, we identified PTBP1 as the most significant hub for the malignant cell-intrinsic gene module. PTBP1 is not altered in most glioma genomes. PTBP1 represses the conserved splicing of CDC42-N. PTBP1 knockdown or CDC42-N overexpression disrupts actin cytoskeleton dynamics, causing accumulation of reactive oxygen species and cell apoptosis. PTBP1-mediated repression of CDC42-N splicing represents a potential genomic alteration-independent, developmentally conserved vulnerability in IDH-wildtype GBM.
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Affiliation(s)
- Junjie Yang
- Department of Biology, Beijing Key Laboratory of Gene Resource and Molecular Development, and Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, School of Life Sciences , Beijing Normal University, Beijing, China
| | - Jing Feng
- Department of Pathology, Sanbo Brain Hospital, Capital Medical University, Beijing, 100093, China
| | - Jing Lv
- Department of Biology, Beijing Key Laboratory of Gene Resource and Molecular Development, and Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, School of Life Sciences , Beijing Normal University, Beijing, China
| | - Xiaojing Chu
- Department of Biology, Beijing Key Laboratory of Gene Resource and Molecular Development, and Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, School of Life Sciences , Beijing Normal University, Beijing, China
| | - Yanfei Wei
- Department of Biology, Beijing Key Laboratory of Gene Resource and Molecular Development, and Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, School of Life Sciences , Beijing Normal University, Beijing, China
| | - Yunqiu Zhang
- Center of Growth Metabolism & Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China
| | - Jiuyi Li
- College of Life Sciences, Sichuan Normal University, Chengdu, 610101, China
| | - Yingyu Sun
- Department of Biology, Beijing Key Laboratory of Gene Resource and Molecular Development, and Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, School of Life Sciences , Beijing Normal University, Beijing, China
| | - Guanzhang Li
- Beijing Neurosurgical Institute, Beijing, 100070, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Tao Jiang
- Beijing Neurosurgical Institute, Beijing, 100070, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Jinyan Huang
- Biomedical Big Data Center, the First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou, 310003, Zhejiang, China
| | - Xiaolong Fan
- Department of Biology, Beijing Key Laboratory of Gene Resource and Molecular Development, and Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, School of Life Sciences , Beijing Normal University, Beijing, China.
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Nakasu S, Deguchi S, Nakasu Y. IDH wild-type lower-grade gliomas with glioblastoma molecular features: a systematic review and meta-analysis. Brain Tumor Pathol 2023:10.1007/s10014-023-00463-8. [PMID: 37212969 DOI: 10.1007/s10014-023-00463-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 05/09/2023] [Indexed: 05/23/2023]
Abstract
The WHO 2021 classification defines IDH wild type (IDHw) histologically lower-grade glioma (hLGG) as molecular glioblastoma (mGBM) if TERT promoter mutation (pTERTm), EGFR amplification or chromosome seven gain and ten loss aberrations are indicated. We systematically reviewed articles of IDHw hLGGs studies (49 studies, N = 3748) and meta-analyzed mGBM prevalence and overall survival (OS) according to the PRISMA statement. mGBM rates in IDHw hLGG were significantly lower in Asian regions (43.7%, 95% confidence interval [CI: 35.8-52.0]) when compared to non-Asian regions (65.0%, [CI: 52.9-75.4]) (P = 0.005) and were significantly lower in fresh-frozen specimen when compared to formalin-fixed paraffin-embedded samples (P = 0.015). IDHw hLGGs without pTERTm rarely expressed other molecular markers in Asian studies when compared to non-Asian studies. Patients with mGBM had significantly longer OS times when compared to histological GBM (hGBM) (pooled hazard ratio (pHR) 0.824, [CI: 0.694-0.98], P = 0.03)). In patients with mGBM, histological grade was a significant prognostic factor (pHR 1.633, [CI: 1.09-2.447], P = 0.018), as was age (P = 0.001) and surgical extent (P = 0.018). Although bias risk across studies was moderate, mGBM with grade II histology showed better OS rates when compared to hGBM.
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Affiliation(s)
- Satoshi Nakasu
- Division of Neurosurgery, Omi Medical Center, Yabase-cho 1660, Kusatsu, Shiga, 525-8585, Japan.
- Department of Neurosurgery, Shiga University of Medical Science, Ohtsu, Japan.
| | - Shoichi Deguchi
- Division of Neurosurgery, Shizuoka Cancer Center, Nagaizumi, Japan
| | - Yoko Nakasu
- Department of Neurosurgery, Shiga University of Medical Science, Ohtsu, Japan
- Division of Neurosurgery, Shizuoka Cancer Center, Nagaizumi, Japan
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Wei Y, Li G, Feng J, Wu F, Zhao Z, Bao Z, Zhang W, Su X, Li J, Qi X, Duan Z, Zhang Y, Vega SF, Jakola AS, Sun Y, Carén H, Jiang T, Fan X. Stalled oligodendrocyte differentiation in IDH-mutant gliomas. Genome Med 2023; 15:24. [PMID: 37055795 PMCID: PMC10103394 DOI: 10.1186/s13073-023-01175-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Accepted: 03/28/2023] [Indexed: 04/15/2023] Open
Abstract
BACKGROUND Roughly 50% of adult gliomas harbor isocitrate dehydrogenase (IDH) mutations. According to the 2021 WHO classification guideline, these gliomas are diagnosed as astrocytomas, harboring no 1p19q co-deletion, or oligodendrogliomas, harboring 1p19q co-deletion. Recent studies report that IDH-mutant gliomas share a common developmental hierarchy. However, the neural lineages and differentiation stages in IDH-mutant gliomas remain inadequately characterized. METHODS Using bulk transcriptomes and single-cell transcriptomes, we identified genes enriched in IDH-mutant gliomas with or without 1p19q co-deletion, we also assessed the expression pattern of stage-specific signatures and key regulators of oligodendrocyte lineage differentiation. We compared the expression of oligodendrocyte lineage stage-specific markers between quiescent and proliferating malignant single cells. The gene expression profiles were validated using RNAscope analysis and myelin staining and were further substantiated using data of DNA methylation and single-cell ATAC-seq. As a control, we assessed the expression pattern of astrocyte lineage markers. RESULTS Genes concordantly enriched in both subtypes of IDH-mutant gliomas are upregulated in oligodendrocyte progenitor cells (OPC). Signatures of early stages of oligodendrocyte lineage and key regulators of OPC specification and maintenance are enriched in all IDH-mutant gliomas. In contrast, signature of myelin-forming oligodendrocytes, myelination regulators, and myelin components are significantly down-regulated or absent in IDH-mutant gliomas. Further, single-cell transcriptomes of IDH-mutant gliomas are similar to OPC and differentiation-committed oligodendrocyte progenitors, but not to myelinating oligodendrocyte. Most IDH-mutant glioma cells are quiescent; quiescent cells and proliferating cells resemble the same differentiation stage of oligodendrocyte lineage. Mirroring the gene expression profiles along the oligodendrocyte lineage, analyses of DNA methylation and single-cell ATAC-seq data demonstrate that genes of myelination regulators and myelin components are hypermethylated and show inaccessible chromatin status, whereas regulators of OPC specification and maintenance are hypomethylated and show open chromatin status. Markers of astrocyte precursors are not enriched in IDH-mutant gliomas. CONCLUSIONS Our studies show that despite differences in clinical manifestation and genomic alterations, all IDH-mutant gliomas resemble early stages of oligodendrocyte lineage and are stalled in oligodendrocyte differentiation due to blocked myelination program. These findings provide a framework to accommodate biological features and therapy development for IDH-mutant gliomas.
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Affiliation(s)
- Yanfei Wei
- Department of Biology, Beijing Key Laboratory of Gene Resource and Molecular Development, School of Life Sciences, and Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, School of Life Sciences, Beijing Normal University, Beijing, China
| | - Guanzhang Li
- Beijing Neurosurgical Institute, Beijing, 100070, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Jing Feng
- Department of Biology, Beijing Key Laboratory of Gene Resource and Molecular Development, School of Life Sciences, and Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, School of Life Sciences, Beijing Normal University, Beijing, China
| | - Fan Wu
- Beijing Neurosurgical Institute, Beijing, 100070, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Zheng Zhao
- Beijing Neurosurgical Institute, Beijing, 100070, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Zhaoshi Bao
- Beijing Neurosurgical Institute, Beijing, 100070, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Wei Zhang
- Beijing Neurosurgical Institute, Beijing, 100070, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Xiaodong Su
- Biodynamic Optical Imaging Center (BIOPIC), School of Life Sciences, Peking University, Beijing, 100871, China
| | - Jiuyi Li
- College of Life Sciences, Sichuan Normal University, Chengdu, 610101, China
| | - Xueling Qi
- Department of Pathology, San Bo Brain Hospital, Capital Medical University, Beijing, 100093, China
| | - Zejun Duan
- Department of Pathology, San Bo Brain Hospital, Capital Medical University, Beijing, 100093, China
| | - Yunqiu Zhang
- Center of Growth Metabolism & Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China
| | - Sandra Ferreyra Vega
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 41390, Sweden
- Sahlgrenska Center for Cancer Research, Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, 41390, Gothenburg, Sweden
| | - Asgeir Store Jakola
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, 41390, Sweden
- Department of Neurosurgery, Sahlgrenska University Hospital, Gothenburg, 41390, Sweden
| | - Yingyu Sun
- Department of Biology, Beijing Key Laboratory of Gene Resource and Molecular Development, School of Life Sciences, and Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, School of Life Sciences, Beijing Normal University, Beijing, China
| | - Helena Carén
- Sahlgrenska Center for Cancer Research, Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, 41390, Gothenburg, Sweden.
| | - Tao Jiang
- Beijing Neurosurgical Institute, Beijing, 100070, China.
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
- Chinese Glioma Genome Atlas Network (CGGA), Beijing, 100070, China.
| | - Xiaolong Fan
- Department of Biology, Beijing Key Laboratory of Gene Resource and Molecular Development, School of Life Sciences, and Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, School of Life Sciences, Beijing Normal University, Beijing, China.
- Chinese Glioma Genome Atlas Network (CGGA), Beijing, 100070, China.
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Temporal and spatial stability of the EM/PM molecular subtypes in adult diffuse glioma. Front Med 2023; 17:240-262. [PMID: 36645634 DOI: 10.1007/s11684-022-0936-z] [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: 01/11/2022] [Accepted: 04/21/2022] [Indexed: 01/17/2023]
Abstract
Detailed characterizations of genomic alterations have not identified subtype-specific vulnerabilities in adult gliomas. Mapping gliomas into developmental programs may uncover new vulnerabilities that are not strictly related to genomic alterations. After identifying conserved gene modules co-expressed with EGFR or PDGFRA (EM or PM), we recently proposed an EM/PM classification scheme for adult gliomas in a histological subtype- and grade-independent manner. By using cohorts of bulk samples, paired primary and recurrent samples, multi-region samples from the same glioma, single-cell RNA-seq samples, and clinical samples, we here demonstrate the temporal and spatial stability of the EM and PM subtypes. The EM and PM subtypes, which progress in a subtype-specific mode, are robustly maintained in paired longitudinal samples. Elevated activities of cell proliferation, genomic instability and microenvironment, rather than subtype switching, mark recurrent gliomas. Within individual gliomas, the EM/PM subtype was preserved across regions and single cells. Malignant cells in the EM and PM gliomas were correlated to neural stem cell and oligodendrocyte progenitor cell compartment, respectively. Thus, while genetic makeup may change during progression and/or within different tumor areas, adult gliomas evolve within a neurodevelopmental framework of the EM and PM molecular subtypes. The dysregulated developmental pathways embedded in these molecular subtypes may contain subtype-specific vulnerabilities.
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Smith TAD, Lane B, More E, Valentine H, Lunj S, Abdelkarem OA, Irlam-Jones J, Shabbir R, Vora S, Denley H, Reeves KJ, Hoskin PJ, Choudhury A, West CML. Comparison of multiple gene expression platforms for measuring a bladder cancer hypoxia signature. Mol Med Rep 2022; 26:261. [PMID: 35730624 DOI: 10.3892/mmr.2022.12777] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 04/25/2022] [Indexed: 11/05/2022] Open
Abstract
Tumour hypoxia status provides prognostic information and predicts response to hypoxia‑modifying treatments. A previous study by our group derived a 24‑gene signature to assess hypoxia in bladder cancer. The objectives of the present study were to compare platforms for generating signature scores, identify cut‑off values for prospective studies, assess intra‑tumour heterogeneity and confirm hypoxia relevance. Briefly, RNA was extracted from prospectively collected diagnostic biopsies of muscle invasive bladder cancer (51 patients), and gene expression was measured using customised Taqman Low Density Array (TLDA) cards, NanoString and Clariom S arrays. Cross‑platform transferability of the gene signature was assessed using regression and concordance analysis. The cut‑off values were the cohort median expression values. Intra‑ and inter‑tumour variability were determined in a retrospective patient cohort (n=51) with multiple blocks (2‑18) from the same tumour. To demonstrate relevance, bladder cancer cell lines were exposed to hypoxia (0.1% oxygen, 24 h), and extracted RNA was run on custom TLDA cards. Hypoxia scores (HS) values showed good agreement between platforms: Clariom S vs. TLDA (r=0.72, P<0.0001; concordance 73%); Clariom S vs. NanoString (r=0.84, P<0.0001; 78%); TLDA vs. NanoString (r=0.80, P<0.0001; 78%). Cut‑off values were 0.047 (TLDA), 7.328 (NanoString) and 6.667 (Clariom S). Intra‑tumour heterogeneity in gene expression and HS (coefficient of variation 3.9%) was less than inter‑tumour (7.9%) variability. HS values were higher in bladder cancer cells exposed to hypoxia compared with normoxia (P<0.02). In conclusion, the present study revealed that application of the 24‑gene bladder cancer hypoxia signature was platform agnostic, cut‑off values determined prospectively can be used in a clinical trial, intra‑tumour heterogeneity was low and the signature was sensitive to changes in oxygen levels in vitro.
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Affiliation(s)
- Tim A D Smith
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester M20 4GJ, UK
| | - Brian Lane
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester M20 4GJ, UK
| | - Elisabet More
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester M20 4GJ, UK
| | - Helen Valentine
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester M20 4GJ, UK
| | - Sapna Lunj
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester M20 4GJ, UK
| | - Omneya A Abdelkarem
- Chemical Pathology Department, Medical Research Institute, Alexandria University, Alexandria 21561, Egypt
| | - J Irlam-Jones
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester M20 4GJ, UK
| | - Rekaya Shabbir
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester M20 4GJ, UK
| | - Shrushti Vora
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester M20 4GJ, UK
| | - Helen Denley
- Pathology Centre, Shrewsbury and Telford NHS Trust, Royal Shrewsbury Hospital, Shrewsbury SY3 8XQ, UK
| | - Kimberley J Reeves
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester M20 4GJ, UK
| | - Peter J Hoskin
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester M20 4GJ, UK
| | - Ananya Choudhury
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester M20 4GJ, UK
| | - Catharine M L West
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester M20 4GJ, UK
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