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Li S, Xia W, Sun B, Peng W, Yang D, Gao J, He S, Yang H, Zhu Y, Zhou H, Xiang T, Kong Q, Zhao X. The stability of FKBP9 maintained by BiP is crucial for glioma progression. Genes Dis 2024; 11:101123. [PMID: 39281835 PMCID: PMC11402128 DOI: 10.1016/j.gendis.2023.101123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 07/12/2023] [Accepted: 08/04/2023] [Indexed: 09/18/2024] Open
Abstract
FK506-binding protein 9 (FKBP9) is involved in tumor malignancy by resistance to endoplasmic reticulum (ER) stress, and the up-regulation of FKBP9 is associated with patients' poor prognosis. The current knowledge of the molecular mechanisms is still limited. One previous study showed that FKBP9 could confer glioblastoma cell resistance to ER stress through ASK1-p38 signaling. However, the upstream regulatory mechanism of FKBP9 expression is still indistinct. In this study, we identified the FKBP9 binding proteins using co-immunoprecipitation followed by mass spectrometry. Results showed that FKBP9 interacted with the binding immunoglobulin protein (BiP). BiP bound directly to FKBP9 with high affinity. BiP prolonged the half-life of the FKBP9 protein and stabilized the FKBP9 protein. BiP and FKBP9 protein levels were positively correlated in patients with glioma, and patients with high expression of BiP and FKBP9 showed a worse prognosis. Further studies showed that FKBP9 knockout in genetically engineered mice inhibited intracranial glioblastoma formation and prolonged survival by decreasing cellular proliferation and ER stress-induced CHOP-related apoptosis. Moreover, normal cells may depend less on FKBP9, as shown by the absence of apoptosis upon FKBP9 knockdown in a non-transformed human cell line and overall normal development in homozygous knockout mice. These findings suggest an important role of BiP-regulated FKBP9-associated signaling in glioma progression and the BiP-FKBP9 axis may be a potential therapeutic target for glioma.
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Affiliation(s)
- Shirong Li
- Division of Abdominal Tumor Multimodality Treatment and Laboratory of Animal Tumor Models, Cancer Center and State Key Laboratory of Respiratory Health and Multimorbidity and Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Wangxiao Xia
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Bin Sun
- Division of Abdominal Tumor Multimodality Treatment and Laboratory of Animal Tumor Models, Cancer Center and State Key Laboratory of Respiratory Health and Multimorbidity and Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Weiyan Peng
- Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Dong Yang
- Division of Abdominal Tumor Multimodality Treatment and Laboratory of Animal Tumor Models, Cancer Center and State Key Laboratory of Respiratory Health and Multimorbidity and Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Jing Gao
- Department of Analytical Chemistry and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Shuai He
- Division of Abdominal Tumor Multimodality Treatment and Laboratory of Animal Tumor Models, Cancer Center and State Key Laboratory of Respiratory Health and Multimorbidity and Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Hua Yang
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- The Third People's Hospital of Yunnan Province, Kunming, Yunnan 650600, China
| | - Yongjie Zhu
- Division of Abdominal Tumor Multimodality Treatment and Laboratory of Animal Tumor Models, Cancer Center and State Key Laboratory of Respiratory Health and Multimorbidity and Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Hu Zhou
- Department of Analytical Chemistry and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Tingxiu Xiang
- Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Qingpeng Kong
- State Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Xudong Zhao
- Division of Abdominal Tumor Multimodality Treatment and Laboratory of Animal Tumor Models, Cancer Center and State Key Laboratory of Respiratory Health and Multimorbidity and Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
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2
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Mazzoleni A, Awuah WA, Sanker V, Bharadwaj HR, Aderinto N, Tan JK, Huang HYR, Poornaselvan J, Shah MH, Atallah O, Tawfik A, Elmanzalawi MEAE, Ghozlan SH, Abdul-Rahman T, Moyondafoluwa JA, Alexiou A, Papadakis M. Chromosomal instability: a key driver in glioma pathogenesis and progression. Eur J Med Res 2024; 29:451. [PMID: 39227895 PMCID: PMC11373396 DOI: 10.1186/s40001-024-02043-8] [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: 02/08/2024] [Accepted: 08/26/2024] [Indexed: 09/05/2024] Open
Abstract
Chromosomal instability (CIN) is a pivotal factor in gliomas, contributing to their complexity, progression, and therapeutic challenges. CIN, characterized by frequent genomic alterations during mitosis, leads to genetic abnormalities and impacts cellular functions. This instability results from various factors, including replication errors and toxic compounds. While CIN's role is well documented in cancers like ovarian cancer, its implications for gliomas are increasingly recognized. CIN influences glioma progression by affecting key oncological pathways, such as tumor suppressor genes (e.g., TP53), oncogenes (e.g., EGFR), and DNA repair mechanisms. It drives tumor evolution, promotes inflammatory signaling, and affects immune interactions, potentially leading to poor clinical outcomes and treatment resistance. This review examines CIN's impact on gliomas through a narrative approach, analyzing data from PubMed/Medline, EMBASE, the Cochrane Library, and Scopus. It highlights CIN's role across glioma subtypes, from adult glioblastomas and astrocytomas to pediatric oligodendrogliomas and astrocytomas. Key findings include CIN's effect on tumor heterogeneity and its potential as a biomarker for early detection and monitoring. Emerging therapies targeting CIN, such as those modulating tumor mutation burden and DNA damage response pathways, show promise but face challenges. The review underscores the need for integrated therapeutic strategies and improved bioinformatics tools like CINdex to advance understanding and treatment of gliomas. Future research should focus on combining CIN-targeted therapies with immune modulation and personalized medicine to enhance patient outcomes.
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Affiliation(s)
- Adele Mazzoleni
- Barts and the London School of Medicine and Dentistry, London, UK
| | | | - Vivek Sanker
- Department Of Neurosurgery, Trivandrum Medical College, Trivandrum, India
| | | | - Nicholas Aderinto
- Internal Medicine Department, LAUTECH Teaching Hospital, Ogbomoso, Nigeria
| | | | - Helen Ye Rim Huang
- Royal College of Surgeons in Ireland, University of Medicine and Health Sciences, Dublin, Ireland
| | | | | | - Oday Atallah
- Department of Neurosurgery, Hannover Medical School, Carl-Neuberg-Strasse 1, 30625, Hannover, Germany
| | - Aya Tawfik
- Faculty of Biotechnology, October University for Modern Sciences and Arts (MSA), Giza, Egypt
| | | | - Sama Hesham Ghozlan
- Arab Academy for Science, Technology & Maritime Transport, Alexandria, Egypt
| | | | | | - Athanasios Alexiou
- University Centre for Research & Development, Chandigarh University, Chandigarh-Ludhiana Highway, Mohali, Punjab, India
- Funogen, Department of Research & Development, Athens, Greece
- Department of Research & Development, AFNP Med, 1030, Vienna, Austria
- Department of Science and Engineering, Novel Global Community Educational Foundation, Hebersham, NSW, 2770, Australia
| | - Marios Papadakis
- Department of Surgery II, University Hospital Witten-Herdecke, University of Witten-Herdecke, Heusnerstrasse 40, 42283, Wuppertal, Germany.
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3
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Huang Z, Zhang K, Jiang Y, Wang M, Li M, Guo Y, Gao R, Li N, Wang C, Chen J, Wang J, Liu N, Liu X, Liu S, Wei M, Yang C, Yang G. Molecular glue triggers degradation of PHGDH by enhancing the interaction between DDB1 and PHGDH. Acta Pharm Sin B 2024; 14:4001-4013. [PMID: 39309493 PMCID: PMC11413658 DOI: 10.1016/j.apsb.2024.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 05/06/2024] [Accepted: 05/20/2024] [Indexed: 09/25/2024] Open
Abstract
Cancer stem cells (CSCs) play a pivotal role in tumor initiation, proliferation, metastasis, drug resistance, and recurrence. Consequently, targeting CSCs has emerged as a promising avenue for cancer therapy. Recently, 3-phosphoglycerate dehydrogenase (PHGDH) has been identified as being intricately associated with the regulation of numerous cancer stem cells. Yet, reports detailing the functional regulators of PHGDH that can mitigate the stemness across cancer types are limited. In this study, the novel "molecular glue" LXH-3-71 was identified, and it robustly induced degradation of PHGDH, thereby modulating the stemness of colorectal cancer cells (CRCs) both in vitro and in vivo. Remarkably, LXH-3-71 was observed to form a dynamic chimera, between PHGDH and the DDB1-CRL E3 ligase. These insights not only elucidate the anti-CSCs mechanism of the lead compound but also suggest that degradation of PHGDH may be a more viable therapeutic strategy than the development of PHGDH inhibitors. Additionally, compound LXH-3-71 was leveraged as a novel ligand for the DDB1-CRL E3 ligase, facilitating the development of new PROTAC molecules targeting EGFR and CDK4 degradation.
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Affiliation(s)
- Ziqi Huang
- The State Key Laboratory of Medicinal Chemical Biology, College of Life Sciences, College of Pharmacy, Nankai University, Tianjin 300071, China
| | - Kun Zhang
- The State Key Laboratory of Medicinal Chemical Biology, College of Life Sciences, College of Pharmacy, Nankai University, Tianjin 300071, China
| | - Yurui Jiang
- The State Key Laboratory of Medicinal Chemical Biology, College of Life Sciences, College of Pharmacy, Nankai University, Tianjin 300071, China
| | - Mengmeng Wang
- The State Key Laboratory of Medicinal Chemical Biology, College of Life Sciences, College of Pharmacy, Nankai University, Tianjin 300071, China
| | - Mei Li
- The State Key Laboratory of Medicinal Chemical Biology, College of Life Sciences, College of Pharmacy, Nankai University, Tianjin 300071, China
| | - Yuda Guo
- The State Key Laboratory of Medicinal Chemical Biology, College of Life Sciences, College of Pharmacy, Nankai University, Tianjin 300071, China
| | - Ruolin Gao
- The State Key Laboratory of Medicinal Chemical Biology, College of Life Sciences, College of Pharmacy, Nankai University, Tianjin 300071, China
| | - Ning Li
- The State Key Laboratory of Medicinal Chemical Biology, College of Life Sciences, College of Pharmacy, Nankai University, Tianjin 300071, China
| | - Chenyang Wang
- The State Key Laboratory of Medicinal Chemical Biology, College of Life Sciences, College of Pharmacy, Nankai University, Tianjin 300071, China
| | - Jia Chen
- The State Key Laboratory of Medicinal Chemical Biology, College of Life Sciences, College of Pharmacy, Nankai University, Tianjin 300071, China
| | - Jiefu Wang
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - Ning Liu
- The State Key Laboratory of Medicinal Chemical Biology, College of Life Sciences, College of Pharmacy, Nankai University, Tianjin 300071, China
| | - Xiang Liu
- The State Key Laboratory of Medicinal Chemical Biology, College of Life Sciences, College of Pharmacy, Nankai University, Tianjin 300071, China
| | - Shuangwei Liu
- The State Key Laboratory of Medicinal Chemical Biology, College of Life Sciences, College of Pharmacy, Nankai University, Tianjin 300071, China
| | - Mingming Wei
- The State Key Laboratory of Medicinal Chemical Biology, College of Life Sciences, College of Pharmacy, Nankai University, Tianjin 300071, China
| | - Cheng Yang
- The State Key Laboratory of Medicinal Chemical Biology, College of Life Sciences, College of Pharmacy, Nankai University, Tianjin 300071, China
| | - Guang Yang
- The State Key Laboratory of Medicinal Chemical Biology, College of Life Sciences, College of Pharmacy, Nankai University, Tianjin 300071, China
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4
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Chai X, Zhang Y, Zhang W, Feng K, Jiang Y, Zhu A, Chen X, Di L, Wang R. Tumor Metabolism: A New Field for the Treatment of Glioma. Bioconjug Chem 2024; 35:1116-1141. [PMID: 39013195 DOI: 10.1021/acs.bioconjchem.4c00287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/18/2024]
Abstract
The clinical treatment of glioma remains relatively immature. Commonly used clinical treatments for gliomas are surgery combined with chemotherapy and radiotherapy, but there is a problem of drug resistance. In addition, immunotherapy and targeted therapies also suffer from the problem of immune evasion. The advent of metabolic therapy holds immense potential for advancing more efficacious and tolerable therapies against this aggressive disease. Metabolic therapy alters the metabolic processes of tumor cells at the molecular level to inhibit tumor growth and spread, and lead to better outcomes for patients with glioma that are insensitive to conventional treatments. Moreover, compared with conventional therapy, it has less impact on normal cells, less toxicity and side effects, and higher safety. The objective of this review is to examine the changes in metabolic characteristics throughout the development of glioma, enumerate the current methodologies employed for studying tumor metabolism, and highlight the metabolic reprogramming pathways of glioma along with their potential molecular mechanisms. Importantly, it seeks to elucidate potential metabolic targets for glioblastoma (GBM) therapy and summarize effective combination treatment strategies based on various studies.
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Affiliation(s)
- Xiaoqian Chai
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
- Jiangsu Provincial TCM Engineering Technology Research Center of High Efficient Drug Delivery System, Nanjing 210023, China
| | - Yingjie Zhang
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
- Jiangsu Provincial TCM Engineering Technology Research Center of High Efficient Drug Delivery System, Nanjing 210023, China
| | - Wen Zhang
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
- Jiangsu Provincial TCM Engineering Technology Research Center of High Efficient Drug Delivery System, Nanjing 210023, China
| | - Kuanhan Feng
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
- Jiangsu Provincial TCM Engineering Technology Research Center of High Efficient Drug Delivery System, Nanjing 210023, China
| | - Yingyu Jiang
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
- Jiangsu Provincial TCM Engineering Technology Research Center of High Efficient Drug Delivery System, Nanjing 210023, China
| | - Anran Zhu
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
- Jiangsu Provincial TCM Engineering Technology Research Center of High Efficient Drug Delivery System, Nanjing 210023, China
| | - Xiaojin Chen
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
- Jiangsu Provincial TCM Engineering Technology Research Center of High Efficient Drug Delivery System, Nanjing 210023, China
| | - Liuqing Di
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
- Jiangsu Provincial TCM Engineering Technology Research Center of High Efficient Drug Delivery System, Nanjing 210023, China
| | - Ruoning Wang
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China
- Jiangsu Provincial TCM Engineering Technology Research Center of High Efficient Drug Delivery System, Nanjing 210023, China
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5
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Slobodyanyuk M, Bahcheli AT, Klein ZP, Bayati M, Strug LJ, Reimand J. Directional integration and pathway enrichment analysis for multi-omics data. Nat Commun 2024; 15:5690. [PMID: 38971800 PMCID: PMC11227559 DOI: 10.1038/s41467-024-49986-4] [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: 09/29/2023] [Accepted: 06/26/2024] [Indexed: 07/08/2024] Open
Abstract
Omics techniques generate comprehensive profiles of biomolecules in cells and tissues. However, a holistic understanding of underlying systems requires joint analyses of multiple data modalities. We present DPM, a data fusion method for integrating omics datasets using directionality and significance estimates of genes, transcripts, or proteins. DPM allows users to define how the input datasets are expected to interact directionally given the experimental design or biological relationships between the datasets. DPM prioritises genes and pathways that change consistently across the datasets and penalises those with inconsistent directionality. To demonstrate our approach, we characterise gene and pathway regulation in IDH-mutant gliomas by jointly analysing transcriptomic, proteomic, and DNA methylation datasets. Directional integration of survival information in ovarian cancer reveals candidate biomarkers with consistent prognostic signals in transcript and protein expression. DPM is a general and adaptable framework for gene prioritisation and pathway analysis in multi-omics datasets.
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Affiliation(s)
- Mykhaylo Slobodyanyuk
- Computational Biology Program, Ontario Institute for Cancer Research, 661 University Ave Suite 510, Toronto, ON M5G 0A3, Canada
- Department of Medical Biophysics, University of Toronto, 101 College Str Suite 15-701, Toronto, ON M5G 1L7, Canada
| | - Alexander T Bahcheli
- Computational Biology Program, Ontario Institute for Cancer Research, 661 University Ave Suite 510, Toronto, ON M5G 0A3, Canada
- Department of Molecular Genetics, University of Toronto, 1 King's College Circle Room 4386, Toronto, ON M5S 1A8, Canada
| | - Zoe P Klein
- Computational Biology Program, Ontario Institute for Cancer Research, 661 University Ave Suite 510, Toronto, ON M5G 0A3, Canada
- Department of Molecular Genetics, University of Toronto, 1 King's College Circle Room 4386, Toronto, ON M5S 1A8, Canada
| | - Masroor Bayati
- Computational Biology Program, Ontario Institute for Cancer Research, 661 University Ave Suite 510, Toronto, ON M5G 0A3, Canada
- Department of Medical Biophysics, University of Toronto, 101 College Str Suite 15-701, Toronto, ON M5G 1L7, Canada
| | - Lisa J Strug
- Program in Genetics and Genome Biology, the Hospital for Sick Children Research Institute, 686 Bay Str, Toronto, ON M5G 0A4, Canada
- Departments of Statistical Sciences, Computer Science and Division of Biostatistics, University of Toronto, 700 University Avenue, Toronto, ON M5G 1Z5, Canada
| | - Jüri Reimand
- Computational Biology Program, Ontario Institute for Cancer Research, 661 University Ave Suite 510, Toronto, ON M5G 0A3, Canada.
- Department of Medical Biophysics, University of Toronto, 101 College Str Suite 15-701, Toronto, ON M5G 1L7, Canada.
- Department of Molecular Genetics, University of Toronto, 1 King's College Circle Room 4386, Toronto, ON M5S 1A8, Canada.
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6
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Beccari S, Mohamed E, Voong V, Hilz S, Lafontaine M, Shai A, Lim Y, Martinez J, Switzman B, Yu RL, Lupo JM, Chang EF, Hervey-Jumper SL, Berger MS, Costello JF, Phillips JJ. Quantitative Assessment of Preanalytic Variables on Clinical Evaluation of PI3/AKT/mTOR Signaling Activity in Diffuse Glioma. Mod Pathol 2024; 37:100488. [PMID: 38588881 DOI: 10.1016/j.modpat.2024.100488] [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: 10/31/2023] [Revised: 03/08/2024] [Accepted: 03/30/2024] [Indexed: 04/10/2024]
Abstract
Biomarker-driven therapeutic clinical trials require the implementation of standardized, evidence-based practices for sample collection. In diffuse glioma, phosphatidylinositol 3 (PI3)-kinase/AKT/mTOR (PI3/AKT/mTOR) signaling is an attractive therapeutic target for which window-of-opportunity clinical trials could facilitate the identification of promising new agents. Yet, the relevant preanalytic variables and optimal tumor sampling methods necessary to measure pathway activity are unknown. To address this, we used a murine model for isocitrate dehydrogenase (IDH)-wildtype glioblastoma (GBM) and human tumor tissue, including IDH-wildtype GBM and IDH-mutant diffuse glioma. First, we determined the impact of delayed time-to-formalin fixation, or cold ischemia time (CIT), on the quantitative assessment of cellular expression of 6 phosphoproteins that are readouts of PI3K/AK/mTOR activity (phosphorylated-proline-rich Akt substrate of 40 kDa (p-PRAS40, T246), -mechanistic target of rapamycin (p-mTOR; S2448); -AKT (p-AKT, S473); -ribosomal protein S6 (p-RPS6, S240/244 and S235/236), and -eukaryotic initiation factor 4E-binding protein 1 (p-4EBP1, T37/46). With CITs ≥ 2 hours, typical of routine clinical handling, all had reduced or altered expression with p-RPS6 (S240/244) exhibiting relatively greater stability. A similar pattern was observed using patient tumor samples from the operating room with p-4EBP1 more sensitive to delayed fixation than p-RPS6 (S240/244). Many clinical trials utilize unstained slides for biomarker evaluation. Thus, we evaluated the impact of slide storage conditions on the detection of p-RPS6 (S240/244), p-4EBP1, and p-AKT. After 5 months, storage at -80°C was required to preserve the expression of p-4EBP1 and p-AKT, whereas p-RPS6 (240/244) expression was not stable regardless of storage temperature. Biomarker heterogeneity impacts optimal tumor sampling. Quantification of p-RPS6 (240/244) expression in multiple regionally distinct human tumor samples from 8 patients revealed significant intratumoral heterogeneity. Thus, the accurate assessment of PI3K/AKT/mTOR signaling in diffuse glioma must overcome intratumoral heterogeneity and multiple preanalytic factors, including time-to-formalin fixation, slide storage conditions, and phosphoprotein of interest.
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Affiliation(s)
- Sol Beccari
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Esraa Mohamed
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Viva Voong
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Stephanie Hilz
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Marisa Lafontaine
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California
| | - Anny Shai
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Yunita Lim
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Jerry Martinez
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Benjamin Switzman
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Ryon L Yu
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Janine M Lupo
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California
| | - Edward F Chang
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Shawn L Hervey-Jumper
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Joseph F Costello
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Joanna J Phillips
- Department of Neurological Surgery, University of California, San Francisco, California; Neuropathology Division, Department of Pathology, University of California, San Francisco, California.
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7
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Mikolajewicz N, Yee PP, Bhanja D, Trifoi M, Miller AM, Metellus P, Bagley SJ, Balaj L, de Macedo Filho LJM, Zacharia BE, Aregawi D, Glantz M, Weller M, Ahluwalia MS, Kislinger T, Mansouri A. Systematic Review of Cerebrospinal Fluid Biomarker Discovery in Neuro-Oncology: A Roadmap to Standardization and Clinical Application. J Clin Oncol 2024; 42:1961-1974. [PMID: 38608213 DOI: 10.1200/jco.23.01621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 01/17/2024] [Accepted: 02/26/2024] [Indexed: 04/14/2024] Open
Abstract
Effective diagnosis, prognostication, and management of CNS malignancies traditionally involves invasive brain biopsies that pose significant risk to the patient. Sampling and molecular profiling of cerebrospinal fluid (CSF) is a safer, rapid, and noninvasive alternative that offers a snapshot of the intracranial milieu while overcoming the challenge of sampling error that plagues conventional brain biopsy. Although numerous biomarkers have been identified, translational challenges remain, and standardization of protocols is necessary. Here, we systematically reviewed 141 studies (Medline, SCOPUS, and Biosis databases; between January 2000 and September 29, 2022) that molecularly profiled CSF from adults with brain malignancies including glioma, brain metastasis, and primary and secondary CNS lymphomas. We provide an overview of promising CSF biomarkers, propose CSF reporting guidelines, and discuss the various considerations that go into biomarker discovery, including the influence of blood-brain barrier disruption, cell of origin, and site of CSF acquisition (eg, lumbar and ventricular). We also performed a meta-analysis of proteomic data sets, identifying biomarkers in CNS malignancies and establishing a resource for the research community.
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Affiliation(s)
- Nicholas Mikolajewicz
- Peter Gilgan Centre for Research and Learning, Hospital for Sick Children, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Patricia P Yee
- Medical Scientist Training Program, Penn State College of Medicine, Hershey, PA
| | - Debarati Bhanja
- Department of Neurosurgery, Penn State Milton S. Hershey Medical Center, Hershey, PA
| | - Mara Trifoi
- Department of Neurosurgery, Penn State Milton S. Hershey Medical Center, Hershey, PA
| | - Alexandra M Miller
- Departments of Neurology and Pediatrics, Memorial Sloan Kettering Cancer Center, Manhattan, NY
| | - Philippe Metellus
- Department of Neurosurgery, Ramsay Santé, Hôpital Privé Clairval, Marseille, France
| | - Stephen J Bagley
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Leonora Balaj
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | | | - Brad E Zacharia
- Department of Neurosurgery, Penn State Milton S. Hershey Medical Center, Hershey, PA
| | - Dawit Aregawi
- Department of Neurosurgery, Penn State Milton S. Hershey Medical Center, Hershey, PA
| | - Michael Glantz
- Department of Neurosurgery, Penn State Milton S. Hershey Medical Center, Hershey, PA
| | - Michael Weller
- Department of Neurology, University Hospital Zurich, Zurich, Switzerland
- Department of Neurology, University of Zurich, Zurich, Switzerland
| | - Manmeet S Ahluwalia
- Miami Cancer Institute, Baptist Health South Florida, Miami, FL
- Herbert Wertheim College of Medicine, Florida International University, Miami, FL
| | - Thomas Kislinger
- Princess Margaret Cancer Centre, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Alireza Mansouri
- Department of Neurosurgery, Penn State Milton S. Hershey Medical Center, Hershey, PA
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8
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Clavreul A, Guette C, Lasla H, Rousseau A, Blanchet O, Henry C, Boissard A, Cherel M, Jézéquel P, Guillonneau F, Menei P, Lemée JM. Proteomics of tumor and serum samples from isocitrate dehydrogenase-wildtype glioblastoma patients: is the detoxification of reactive oxygen species associated with shorter survival? Mol Oncol 2024. [PMID: 38803161 DOI: 10.1002/1878-0261.13668] [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: 01/16/2024] [Revised: 04/12/2024] [Accepted: 05/10/2024] [Indexed: 05/29/2024] Open
Abstract
Proteomics has been little used for the identification of novel prognostic and/or therapeutic markers in isocitrate dehydrogenase (IDH)-wildtype glioblastoma (GB). In this study, we analyzed 50 tumor and 30 serum samples from short- and long-term survivors of IDH-wildtype GB (STS and LTS, respectively) by data-independent acquisition mass spectrometry (DIA-MS)-based proteomics, with the aim of identifying such markers. DIA-MS identified 5422 and 826 normalized proteins in tumor and serum samples, respectively, with only three tumor proteins and 26 serum proteins displaying significant differential expression between the STS and LTS groups. These dysregulated proteins were principally associated with the detoxification of reactive oxygen species (ROS). In particular, GB patients in the STS group had high serum levels of malate dehydrogenase 1 (MDH1) and ribonuclease inhibitor 1 (RNH1) and low tumor levels of fatty acid-binding protein 7 (FABP7), which may have enabled them to maintain low ROS levels, counteracting the effects of the first-line treatment with radiotherapy plus concomitant and adjuvant temozolomide. A blood score built on the levels of MDH1 and RNH1 expression was found to be an independent prognostic factor for survival based on the serum proteome data for a cohort of 96 IDH-wildtype GB patients. This study highlights the utility of circulating MDH1 and RNH1 biomarkers for determining the prognosis of patients with IDH-wildtype GB. Furthermore, the pathways driven by these biomarkers, and the tumor FABP7 pathway, may constitute promising therapeutic targets for blocking ROS detoxification to overcome resistance to chemoradiotherapy in potential GB STS.
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Affiliation(s)
- Anne Clavreul
- Département de Neurochirurgie, CHU d'Angers, France
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
| | - Catherine Guette
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
- PROT'ICO - Plateforme Oncoprotéomique, Institut de Cancérologie de l'Ouest (ICO), Angers, France
| | - Hamza Lasla
- Omics Data Science Unit, Institut de Cancérologie de l'Ouest (ICO), Nantes, France
- SIRIC ILIAD, Institut de Recherche en Santé, Université de Nantes, France
| | - Audrey Rousseau
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
- Département de Pathologie, CHU d'Angers, France
| | - Odile Blanchet
- Centre de Ressources Biologiques, BB-0033-00038, CHU d'Angers, France
| | - Cécile Henry
- PROT'ICO - Plateforme Oncoprotéomique, Institut de Cancérologie de l'Ouest (ICO), Angers, France
| | - Alice Boissard
- PROT'ICO - Plateforme Oncoprotéomique, Institut de Cancérologie de l'Ouest (ICO), Angers, France
| | - Mathilde Cherel
- Département de Biologie Médicale, Centre Eugène Marquis, Unicancer, Rennes, France
| | - Pascal Jézéquel
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
- Omics Data Science Unit, Institut de Cancérologie de l'Ouest (ICO), Nantes, France
- SIRIC ILIAD, Institut de Recherche en Santé, Université de Nantes, France
| | - François Guillonneau
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
- PROT'ICO - Plateforme Oncoprotéomique, Institut de Cancérologie de l'Ouest (ICO), Angers, France
| | - Philippe Menei
- Département de Neurochirurgie, CHU d'Angers, France
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
| | - Jean-Michel Lemée
- Département de Neurochirurgie, CHU d'Angers, France
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
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9
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Park SJ, Ju S, Goh SH, Yoon BH, Park JL, Kim JH, Lee S, Lee SJ, Kwon Y, Lee W, Park KC, Lee GK, Park SY, Kim S, Kim SY, Han JY, Lee C. Proteogenomic Characterization Reveals Estrogen Signaling as a Target for Never-Smoker Lung Adenocarcinoma Patients without EGFR or ALK Alterations. Cancer Res 2024; 84:1491-1503. [PMID: 38607364 DOI: 10.1158/0008-5472.can-23-1551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 10/24/2023] [Accepted: 01/18/2024] [Indexed: 04/13/2024]
Abstract
Never-smoker lung adenocarcinoma (NSLA) is prevalent in Asian populations, particularly in women. EGFR mutations and anaplastic lymphoma kinase (ALK) fusions are major genetic alterations observed in NSLA, and NSLA with these alterations have been well studied and can be treated with targeted therapies. To provide insights into the molecular profile of NSLA without EGFR and ALK alterations (NENA), we selected 141 NSLA tissues and performed proteogenomic characterization, including whole genome sequencing (WGS), transcriptomic, methylation EPIC array, total proteomic, and phosphoproteomic analyses. Forty patients with NSLA harboring EGFR and ALK alterations and seven patients with NENA with microsatellite instability were excluded. Genome analysis revealed that TP53 (25%), KRAS (22%), and SETD2 (11%) mutations and ROS1 fusions (14%) were the most frequent genetic alterations in NENA patients. Proteogenomic impact analysis revealed that STK11 and ERBB2 somatic mutations had broad effects on cancer-associated genes in NENA. DNA copy number alteration analysis identified 22 prognostic proteins that influenced transcriptomic and proteomic changes. Gene set enrichment analysis revealed estrogen signaling as the key pathway activated in NENA. Increased estrogen signaling was associated with proteogenomic alterations, such as copy number deletions in chromosomes 14 and 21, STK11 mutation, and DNA hypomethylation of LLGL2 and ST14. Finally, saracatinib, an Src inhibitor, was identified as a potential drug for targeting activated estrogen signaling in NENA and was experimentally validated in vitro. Collectively, this study enhanced our understanding of NENA NSLA by elucidating the proteogenomic landscape and proposed saracatinib as a potential treatment for this patient population that lacks effective targeted therapies. SIGNIFICANCE The proteogenomic landscape in never-smoker lung cancer without known driver mutations reveals prognostic proteins and enhanced estrogen signaling that can be targeted as a potential therapeutic strategy to improve patient outcomes.
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Affiliation(s)
- Seung-Jin Park
- Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
- Department of Bioscience, University of Science and Technology (UST), Daejeon, Republic of Korea
| | - Shinyeong Ju
- Chemical and Biological Integrative Research Center, Korea Institute of Science and Technology, Seoul, Republic of Korea
| | - Sung-Ho Goh
- National Cancer Center, Goyang, Republic of Korea
| | - Byoung-Ha Yoon
- Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
- Korea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Jong-Lyul Park
- Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Jeong-Hwan Kim
- Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Seonjeong Lee
- Chemical and Biological Integrative Research Center, Korea Institute of Science and Technology, Seoul, Republic of Korea
- Division of Bio-Medical Science and Technology, KIST School, University of Science and Technology, Seoul, Republic of Korea
| | - Sang-Jin Lee
- National Cancer Center, Goyang, Republic of Korea
| | - Yumi Kwon
- Chemical and Biological Integrative Research Center, Korea Institute of Science and Technology, Seoul, Republic of Korea
| | - Wonyeop Lee
- National Cancer Center, Goyang, Republic of Korea
| | - Kyung Chan Park
- Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
- Department of Bioscience, University of Science and Technology (UST), Daejeon, Republic of Korea
| | | | | | - Sunshin Kim
- National Cancer Center, Goyang, Republic of Korea
| | - Seon-Young Kim
- Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
- Department of Bioscience, University of Science and Technology (UST), Daejeon, Republic of Korea
- Korea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea
| | - Ji-Youn Han
- National Cancer Center, Goyang, Republic of Korea
| | - Cheolju Lee
- Chemical and Biological Integrative Research Center, Korea Institute of Science and Technology, Seoul, Republic of Korea
- Division of Bio-Medical Science and Technology, KIST School, University of Science and Technology, Seoul, Republic of Korea
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10
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Chen X, Cui Y, Zou L. Treatment advances in high-grade gliomas. Front Oncol 2024; 14:1287725. [PMID: 38660136 PMCID: PMC11039916 DOI: 10.3389/fonc.2024.1287725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 03/25/2024] [Indexed: 04/26/2024] Open
Abstract
High-grade gliomas (HGG) pose significant challenges in modern tumour therapy due to the distinct biological properties and limitations of the blood-brain barrier. This review discusses recent advancements in HGG treatment, particularly in the context of immunotherapy and cellular therapy. Initially, treatment strategies focus on targeting tumour cells guided by the molecular characteristics of various gliomas, encompassing chemotherapy, radiotherapy and targeted therapy for enhanced precision. Additionally, technological enhancements are augmenting traditional treatment modalities. Furthermore, immunotherapy, emphasising comprehensive tumour management, has gained widespread attention. Immune checkpoint inhibitors, vaccines and CAR-T cells exhibit promising efficacy against recurrent HGG. Moreover, emerging therapies such as tumour treating fields (TTFields) offer additional treatment avenues for patients with HGG. The combination of diverse treatments holds promise for improving the prognosis of HGG, particularly in cases of recurrence.
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Affiliation(s)
- Xi Chen
- Department of Radiotherapy, Cancer Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yi Cui
- State Key Laboratory of Biotherapy, Sichuan University, Chengdu, China
| | - Liqun Zou
- Department of Medical Oncology, Cancer Center, West China Hospital of Sichuan University, Chengdu, China
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11
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Boccacino JM, Dos Santos Peixoto R, Fernandes CFDL, Cangiano G, Sola PR, Coelho BP, Prado MB, Melo-Escobar MI, de Sousa BP, Ayyadhury S, Bader GD, Shinjo SMO, Marie SKN, da Rocha EL, Lopes MH. Integrated transcriptomics uncovers an enhanced association between the prion protein gene expression and vesicle dynamics signatures in glioblastomas. BMC Cancer 2024; 24:199. [PMID: 38347462 PMCID: PMC10863147 DOI: 10.1186/s12885-024-11914-6] [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: 06/01/2023] [Accepted: 01/23/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND Glioblastoma (GBM) is an aggressive brain tumor that exhibits resistance to current treatment, making the identification of novel therapeutic targets essential. In this context, cellular prion protein (PrPC) stands out as a potential candidate for new therapies. Encoded by the PRNP gene, PrPC can present increased expression levels in GBM, impacting cell proliferation, growth, migration, invasion and stemness. Nevertheless, the exact molecular mechanisms through which PRNP/PrPC modulates key aspects of GBM biology remain elusive. METHODS To elucidate the implications of PRNP/PrPC in the biology of this cancer, we analyzed publicly available RNA sequencing (RNA-seq) data of patient-derived GBMs from four independent studies. First, we ranked samples profiled by bulk RNA-seq as PRNPhigh and PRNPlow and compared their transcriptomic landscape. Then, we analyzed PRNP+ and PRNP- GBM cells profiled by single-cell RNA-seq to further understand the molecular context within which PRNP/PrPC might function in this tumor. We explored an additional proteomics dataset, applying similar comparative approaches, to corroborate our findings. RESULTS Functional profiling revealed that vesicular dynamics signatures are strongly correlated with PRNP/PrPC levels in GBM. We found a panel of 73 genes, enriched in vesicle-related pathways, whose expression levels are increased in PRNPhigh/PRNP+ cells across all RNA-seq datasets. Vesicle-associated genes, ANXA1, RAB31, DSTN and SYPL1, were found to be upregulated in vitro in an in-house collection of patient-derived GBM. Moreover, proteome analysis of patient-derived samples reinforces the findings of enhanced vesicle biogenesis, processing and trafficking in PRNPhigh/PRNP+ GBM cells. CONCLUSIONS Together, our findings shed light on a novel role for PrPC as a potential modulator of vesicle biology in GBM, which is pivotal for intercellular communication and cancer maintenance. We also introduce GBMdiscovery, a novel user-friendly tool that allows the investigation of specific genes in GBM biology.
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Affiliation(s)
- Jacqueline Marcia Boccacino
- Department of Cell and Developmental Biology, Institute of Biomedical Sciences, University of São Paulo, Av. Prof. Lineu Prestes, 1524 room 431, Sao Paulo, 05508000, Brazil
| | - Rafael Dos Santos Peixoto
- Department of Automation and Systems, Technological Center, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil
| | - Camila Felix de Lima Fernandes
- Department of Cell and Developmental Biology, Institute of Biomedical Sciences, University of São Paulo, Av. Prof. Lineu Prestes, 1524 room 431, Sao Paulo, 05508000, Brazil
| | - Giovanni Cangiano
- Department of Cell and Developmental Biology, Institute of Biomedical Sciences, University of São Paulo, Av. Prof. Lineu Prestes, 1524 room 431, Sao Paulo, 05508000, Brazil
| | - Paula Rodrigues Sola
- Cellular and Molecular Biology Laboratory (LIM 15), Department of Neurology, Faculdade de Medicina (FMUSP), University of Sao Paulo, Sao Paulo, Brazil
| | - Bárbara Paranhos Coelho
- Department of Cell and Developmental Biology, Institute of Biomedical Sciences, University of São Paulo, Av. Prof. Lineu Prestes, 1524 room 431, Sao Paulo, 05508000, Brazil
| | - Mariana Brandão Prado
- Department of Cell and Developmental Biology, Institute of Biomedical Sciences, University of São Paulo, Av. Prof. Lineu Prestes, 1524 room 431, Sao Paulo, 05508000, Brazil
| | - Maria Isabel Melo-Escobar
- Department of Cell and Developmental Biology, Institute of Biomedical Sciences, University of São Paulo, Av. Prof. Lineu Prestes, 1524 room 431, Sao Paulo, 05508000, Brazil
| | - Breno Pereira de Sousa
- Department of Cell and Developmental Biology, Institute of Biomedical Sciences, University of São Paulo, Av. Prof. Lineu Prestes, 1524 room 431, Sao Paulo, 05508000, Brazil
| | - Shamini Ayyadhury
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
| | - Gary D Bader
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
| | - Sueli Mieko Oba Shinjo
- Cellular and Molecular Biology Laboratory (LIM 15), Department of Neurology, Faculdade de Medicina (FMUSP), University of Sao Paulo, Sao Paulo, Brazil
| | - Suely Kazue Nagahashi Marie
- Cellular and Molecular Biology Laboratory (LIM 15), Department of Neurology, Faculdade de Medicina (FMUSP), University of Sao Paulo, Sao Paulo, Brazil
| | - Edroaldo Lummertz da Rocha
- Department of Microbiology, Immunology, and Parasitology, Biological Sciences Center, Federal University of Santa Catarina, Florianópolis, Santa Catarina, 88040-900, Brazil.
| | - Marilene Hohmuth Lopes
- Department of Cell and Developmental Biology, Institute of Biomedical Sciences, University of São Paulo, Av. Prof. Lineu Prestes, 1524 room 431, Sao Paulo, 05508000, Brazil.
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12
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Wang R, Lin X. GPC2 as a diagnostic and prognostic marker regulated progression of colorectal cancer. Arab J Gastroenterol 2024; 25:51-57. [PMID: 38220478 DOI: 10.1016/j.ajg.2023.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 09/12/2023] [Accepted: 11/27/2023] [Indexed: 01/16/2024]
Abstract
BACKGROUND AND STUDY AIMS Glypican 2 (GPC2) is a member of the glypican gene family and is expressed in multiple kinds of cancer. However, the function and mechanism of GPC2 in colorectal cancer remains unclear. In this study, we aimed to identify the role of GPC2 on tumor cell proliferation and survival in colorectal cancer. PATIENTS AND METHODS Ten pairs of colon cancer and matched normal colon tissues were collected in this research. GEPIA was used to analysis the GPC2 gene expression profile in TGCA data base. RT-qPCR and western blot assay were performed to determine the mRNA and protein expressions. CCK-8, Flow cytometry and colon formation assay were applied to evaluate cell viability. IHC staining was performed to evaluate the protein expression in tissues. The function of GPC2 in vivo was verified by an animal model of colon cancer. RESULTS Through the bioinformatics analysis and qRT-PCR validation, we found that GPC2 was upregulated in the colon cancer tissues and cells. GPC2 knockdown suppressed cell proliferation in vitro and in vivo was confirmed by the results of CCK-8, colony formation assays, and tumor xenograft models. Moreover, by the analysis of flow cytometry assay and gain-or-loss function experiments, we discovered that CEP164 was highly associated with the expression state of GPC2, and mediated G2/M-phase arrest in GPC2-downregulated tumor cells. CONCLUSION GPC2 might be a novel oncogenic gene in colorectal cancer, suggesting that it could be a considerable marker for the diagnosis and prognosis of colorectal cancer.
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Affiliation(s)
- Rugang Wang
- Tumors Ward 3, Harbin Chest Hospital, Harbin 150056, China
| | - Xuan Lin
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou 310000, China.
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13
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Guler A, Hamurcu Z, Ulutabanca H, Cınar V, Nurdinov N, Erdem S, Ozpolat B. Flavopiridol Suppresses Cell Proliferation and Migration and Induces Apoptotic Cell Death by Inhibiting Oncogenic FOXM1 Signaling in IDH Wild-Type and IDH-Mutant GBM Cells. Mol Neurobiol 2024; 61:1061-1079. [PMID: 37676393 DOI: 10.1007/s12035-023-03609-z] [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: 06/09/2023] [Accepted: 08/22/2023] [Indexed: 09/08/2023]
Abstract
Glioblastoma multiforme (GBM) remains one of the most challenging solid cancers to treat due to its highly aggressive and drug-resistant nature. Flavopiridol is synthetic flavone that was recently approved by the FDA for the treatment of acute myeloid leukemia. Flavopiridol exhibits antiproliferative activity in several solid cancer cells and currently evaluated in clinical trials in several solid and hematological cancers. In this study, we investigated the molecular mechanisms underlying antiproliferative effects of flavopiridol in GBM cell lines with wild-type and mutant encoding isocitrate dehydrogenase 1 (IDH1). We found that flavopiridol inhibits proliferation, colony formation, and migration and induces apoptosis in IDH1 wild-type and IDH-mutant cells through inhibition of FOXM1 oncogenic signaling. Furthermore, flavopiridol treatment also inhibits of NF-KB, mediators unfolded protein response (UPR), including, GRP78, PERK and IRE1α, and DNA repair enzyme PARP, which have been shown to be potential therapeutic targets by downregulating FOXM1 in GBM cells. Our findings suggest for the first time that flavopiridol suppresses proliferation, survival, and migration and induces apoptosis in IDH1 wild-type and IDH1-mutant GBM cells by targeting FOXM1 oncogenic signaling which also regulates NF-KB, PARP, and UPR response in GBM cells. Flavopiridol may be a potential novel therapeutic strategy in the treatment of patients IDH1 wild-type and IDH1-mutant GBM.
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Affiliation(s)
- Ahsen Guler
- Department of Medical Biology, Faculty of Medicine, Erciyes University, Kayseri, Turkey
- Betül-Ziya Eren Genome and Stem Cell Center, Erciyes University, Kayseri, Turkey
| | - Zuhal Hamurcu
- Department of Medical Biology, Faculty of Medicine, Erciyes University, Kayseri, Turkey.
- Betül-Ziya Eren Genome and Stem Cell Center, Erciyes University, Kayseri, Turkey.
| | - Halil Ulutabanca
- Betül-Ziya Eren Genome and Stem Cell Center, Erciyes University, Kayseri, Turkey
- Department of Neurosurgery, Faculty of Medicine, Erciyes University, Kayseri, Turkey
| | - Venhar Cınar
- Department of Medical Biology, Faculty of Medicine, Erciyes University, Kayseri, Turkey
- Betül-Ziya Eren Genome and Stem Cell Center, Erciyes University, Kayseri, Turkey
| | - Nursultan Nurdinov
- Betül-Ziya Eren Genome and Stem Cell Center, Erciyes University, Kayseri, Turkey
- Faculties of Medicine and Dentistry, Ahmet Yesevi University, Turkestan, Kazakhstan
| | - Serife Erdem
- Department of Medical Biology, Faculty of Medicine, Erciyes University, Kayseri, Turkey
- Betül-Ziya Eren Genome and Stem Cell Center, Erciyes University, Kayseri, Turkey
| | - Bulent Ozpolat
- Department of Nanomedicine, Houston Methodist Research Institute, Houston, TX, USA.
- Methodist Neil Cancer Center, Houston, TX, USA.
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14
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Kuchukulla RR, Hwang I, Kim SH, Kye Y, Park N, Cha H, Moon S, Chung HW, Lee C, Kong G, Hur W. Identification of a novel potent CDK inhibitor degrading cyclinK with a superb activity to reverse trastuzumab-resistance in HER2-positive breast cancer in vivo. Eur J Med Chem 2024; 264:116014. [PMID: 38061230 DOI: 10.1016/j.ejmech.2023.116014] [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: 09/21/2023] [Revised: 11/19/2023] [Accepted: 11/26/2023] [Indexed: 12/30/2023]
Abstract
CDK12 is overexpressed in HER2-positive breast cancers and promotes tumorigenesis and trastuzumab resistance. Thus CDK12 is a good therapeutic target for the HER2-positive breast tumors resistant to trastuzumab. We previously reported a novel purine-based CDK inhibitor with an ability to degrade cyclinK. Herein, we further explored and synthesized new derivatives, and identified a new potent pan-CDK inhibitor degrading cyclinK (32e). Compound 32e potently inhibited CDK12/cyclinK with IC50 = 3 nM, and suppressed the growth of the both trastuzumab-sensitive and trastuzumab-resistant HER2-positive breast cancer cell lines (GI50's = 9-21 nM), which is superior to a potent, clinical pan-CDK inhibitor dinaciclib. Moreover, 32e (10, 20 mg/kg, ip, twice a week) showed a dose-dependent inhibition of tumor growth and a more dramatic anti-cancer effect than dinaciclib in mouse in vivo orthotopic breast cancer model of trastuzumab-resistant HCC1954 cells. Kinome-wide inhibition profiling revealed that 32e at 1 μM exhibits a decent selectivity toward CDK-family kinases including CDK12 over other wildtype protein kinases. Quantitative global proteomic analysis of 32e-treated HCC1954 cells demonstrated that 32e also showed a decent selectivity in degrading cyclinK over other cyclins. Compound 32e could be developed as a drug for intractable trastuzumab-resistant HER2-positive breast cancers. Our current study would provide a useful insight in designing potent cyclinK degraders.
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Affiliation(s)
- Ratnakar Reddy Kuchukulla
- HY-KIST Bioconvergence, Hanyang University, 222 Wangsimniro, Seongdong-gu, Seoul, 04763, Republic of Korea
| | - Injeoung Hwang
- HY-KIST Bioconvergence, Hanyang University, 222 Wangsimniro, Seongdong-gu, Seoul, 04763, Republic of Korea; Medicinal Materials Research Center, Korea Institute of Science and Technology (KIST), 5 Hwarangro 14 gil, Seongbuk-gu, Seoul, 02792, Republic of Korea
| | - Suhn Hyung Kim
- Medicinal Materials Research Center, Korea Institute of Science and Technology (KIST), 5 Hwarangro 14 gil, Seongbuk-gu, Seoul, 02792, Republic of Korea
| | - Younghyeon Kye
- HY-KIST Bioconvergence, Hanyang University, 222 Wangsimniro, Seongdong-gu, Seoul, 04763, Republic of Korea
| | - Narae Park
- Chemical & Biological Integrative Research Center, Korea Institute of Science and Technology (KIST), 5 Hwarangro 14 gil, Seongbuk-gu, Seoul, 02792, Republic of Korea; KHU-KIST Department of Converging Science and Technology, Kyung Hee University, 26 Kyungheedaero, Dongdaemun-gu, Seoul, 02447, Republic of Korea
| | - Heary Cha
- HY-KIST Bioconvergence, Hanyang University, 222 Wangsimniro, Seongdong-gu, Seoul, 04763, Republic of Korea
| | - Sojeong Moon
- HY-KIST Bioconvergence, Hanyang University, 222 Wangsimniro, Seongdong-gu, Seoul, 04763, Republic of Korea
| | - Hwan Won Chung
- Computational Science Research Center, Korea Institute of Science and Technology (KIST), 5 Hwarangro 14 gil, Seongbuk-gu, Seoul, 02792, Republic of Korea
| | - Cheolju Lee
- Chemical & Biological Integrative Research Center, Korea Institute of Science and Technology (KIST), 5 Hwarangro 14 gil, Seongbuk-gu, Seoul, 02792, Republic of Korea
| | - Gu Kong
- HY-KIST Bioconvergence, Hanyang University, 222 Wangsimniro, Seongdong-gu, Seoul, 04763, Republic of Korea; Medicinal Materials Research Center, Korea Institute of Science and Technology (KIST), 5 Hwarangro 14 gil, Seongbuk-gu, Seoul, 02792, Republic of Korea; Department of Pathology, Hanyang University College of Medicine, 222 Wangsimniro, Seongdong-gu, Seoul, 04763, Republic of Korea.
| | - Wooyoung Hur
- HY-KIST Bioconvergence, Hanyang University, 222 Wangsimniro, Seongdong-gu, Seoul, 04763, Republic of Korea; Medicinal Materials Research Center, Korea Institute of Science and Technology (KIST), 5 Hwarangro 14 gil, Seongbuk-gu, Seoul, 02792, Republic of Korea.
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15
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Xing X, Hu E, Ouyang J, Zhong X, Wang F, Liu K, Cai L, Zhou Y, Wang Y, Chen G, Li Z, Wu L, Liu X. Integrated omics landscape of hepatocellular carcinoma suggests proteomic subtypes for precision therapy. Cell Rep Med 2023; 4:101315. [PMID: 38091986 PMCID: PMC10783603 DOI: 10.1016/j.xcrm.2023.101315] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 09/20/2023] [Accepted: 11/15/2023] [Indexed: 12/22/2023]
Abstract
Patients with hepatocellular carcinoma (HCC) at the same clinical stage can have extremely different prognoses, and molecular subtyping provides an opportunity for individualized precision treatment. In this study, genomic, transcriptomic, proteomic, and phosphoproteomic profiling of primary tumor tissues and paired para-tumor tissues from HCC patients (N = 160) are integrated. Proteomic profiling identifies three HCC subtypes with different clinical prognosis, which are validated in three publicly available external validation sets. A simplified panel of nine proteins associated with metabolic reprogramming is further identified as a potential subtype-specific biomarker for clinical application. Multi-omics analysis further reveals that three proteomic subtypes have significant differences in genetic alterations, microenvironment dysregulation, kinase-substrate regulatory networks, and therapeutic responses. Patient-derived cell-based drug tests (N = 26) show personalized responses for sorafenib in three proteomic subtypes, which can be predicted by a machine-learning response prediction model. Overall, this study provides a valuable resource for better understanding of HCC subtypes for precision clinical therapy.
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Affiliation(s)
- Xiaohua Xing
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - En Hu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Jiahe Ouyang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Xianyu Zhong
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Fei Wang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Kaixin Liu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Linsheng Cai
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Yang Zhou
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Yingchao Wang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Geng Chen
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Zhenli Li
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Liming Wu
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China.
| | - Xiaolong Liu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China.
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16
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Shan Z, Tang W, Shi Z, Shan T. Ferroptosis: An Emerging Target for Bladder Cancer Therapy. Curr Issues Mol Biol 2023; 45:8201-8214. [PMID: 37886960 PMCID: PMC10605744 DOI: 10.3390/cimb45100517] [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: 08/27/2023] [Revised: 09/28/2023] [Accepted: 09/30/2023] [Indexed: 10/28/2023] Open
Abstract
Bladder cancer (BC), as one of the main urological cancers in the world, possesses the abilities of multiple-drug resistance and metastasis. However, there remains a significant gap in the understanding and advancement of prognosis and therapeutic strategies for BC. Ferroptosis, a novel type of iron-dependent regulated cell death, depends on lipid peroxidation, which has been proven to have a strong correlation with the development and treatment of BC. Its mechanism mainly includes three pathways, namely, lipid peroxidation, the antioxidant system, and the iron overload pathway. In this review, we reviewed the mechanism of ferroptosis, along with the related therapeutic targets and drugs for BC, as it might become a new anticancer treatment in the future.
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Affiliation(s)
- Zhengda Shan
- School of Medicine, Sun Yat-sen University, Shenzhen 518107, China;
| | - Wenbin Tang
- School of Medicine, Xiamen University, Xiamen 361102, China;
| | - Zhiyuan Shi
- School of Medicine, Xiamen University, Xiamen 361102, China;
| | - Tao Shan
- School of Basic Medicine, Qingdao University, Qingdao 266071, China
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17
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Wang XY, Xu YM, Lau ATY. Proteogenomics in Cancer: Then and Now. J Proteome Res 2023; 22:3103-3122. [PMID: 37725793 DOI: 10.1021/acs.jproteome.3c00196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/21/2023]
Abstract
For years, the paths of sequencing technologies and mass spectrometry have occurred in isolation, with each developing its own unique culture and expertise. These two technologies are crucial for inspecting complementary aspects of the molecular phenotype across the central dogma. Integrative multiomics strives to bridge the analysis gap among different fields to complete more comprehensive mechanisms of life events and diseases. Proteogenomics is one integrated multiomics field. Here in this review, we mainly summarize and discuss three aspects: workflow of proteogenomics, proteogenomics applications in cancer research, and the SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis of proteogenomics in cancer research. In conclusion, proteogenomics has a promising future as it clarifies the functional consequences of many unannotated genomic abnormalities or noncanonical variants and identifies driver genes and novel therapeutic targets across cancers, which would substantially accelerate the development of precision oncology.
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Affiliation(s)
- Xiu-Yun Wang
- Laboratory of Cancer Biology and Epigenetics, Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, Guangdong 515041, People's Republic of China
| | - Yan-Ming Xu
- Laboratory of Cancer Biology and Epigenetics, Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, Guangdong 515041, People's Republic of China
| | - Andy T Y Lau
- Laboratory of Cancer Biology and Epigenetics, Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, Guangdong 515041, People's Republic of China
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18
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Miller DM, Yadanapudi K, Rai V, Rai SN, Chen J, Frieboes HB, Masters A, McCallum A, Williams BJ. Untangling the web of glioblastoma treatment resistance using a multi-omic and multidisciplinary approach. Am J Med Sci 2023; 366:185-198. [PMID: 37330006 DOI: 10.1016/j.amjms.2023.06.010] [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: 12/15/2022] [Revised: 05/01/2023] [Accepted: 06/13/2023] [Indexed: 06/19/2023]
Abstract
Glioblastoma (GBM), the most common human brain tumor, has been notoriously resistant to treatment. As a result, the dismal overall survival of GBM patients has not changed over the past three decades. GBM has been stubbornly resistant to checkpoint inhibitor immunotherapies, which have been remarkably effective in the treatment of other tumors. It is clear that GBM resistance to therapy is multifactorial. Although therapeutic transport into brain tumors is inhibited by the blood brain barrier, there is evolving evidence that overcoming this barrier is not the predominant factor. GBMs generally have a low mutation burden, exist in an immunosuppressed environment and they are inherently resistant to immune stimulation, all of which contribute to treatment resistance. In this review, we evaluate the contribution of multi-omic approaches (genomic and metabolomic) along with analyzing immune cell populations and tumor biophysical characteristics to better understand and overcome GBM multifactorial resistance to treatment.
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Affiliation(s)
- Donald M Miller
- Brown Cancer Center, University of Louisville, Louisville, KY, USA; Department of Medicine, School of Medicine, University of Louisville, Louisville, KY, USA.
| | - Kavitha Yadanapudi
- Brown Cancer Center, University of Louisville, Louisville, KY, USA; Department of Medicine, School of Medicine, University of Louisville, Louisville, KY, USA
| | - Veeresh Rai
- Brown Cancer Center, University of Louisville, Louisville, KY, USA
| | - Shesh N Rai
- Brown Cancer Center, University of Louisville, Louisville, KY, USA; Biostatistics and Informatics Shared Resources, University of Cincinnati Cancer Center, Cincinnati, OH, USA; Cancer Data Science Center of University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Joseph Chen
- Brown Cancer Center, University of Louisville, Louisville, KY, USA; Department of Bioengineering, Speed School of Engineering, University of Louisville, Louisville, KY, USA
| | - Hermann B Frieboes
- Brown Cancer Center, University of Louisville, Louisville, KY, USA; Department of Bioengineering, Speed School of Engineering, University of Louisville, Louisville, KY, USA; Center for Preventative Medicine, University of Louisville, Louisville, KY, USA
| | - Adrianna Masters
- Brown Cancer Center, University of Louisville, Louisville, KY, USA; Department of Radiation Oncology, University of Louisville, Louisville, KY, USA
| | - Abigail McCallum
- Brown Cancer Center, University of Louisville, Louisville, KY, USA; Department of Neurosurgery, University of Louisville, Louisville, KY, USA
| | - Brian J Williams
- Brown Cancer Center, University of Louisville, Louisville, KY, USA; Department of Neurosurgery, University of Louisville, Louisville, KY, USA
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19
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Ahmed T. Biomaterial-based in vitro 3D modeling of glioblastoma multiforme. CANCER PATHOGENESIS AND THERAPY 2023; 1:177-194. [PMID: 38327839 PMCID: PMC10846340 DOI: 10.1016/j.cpt.2023.01.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/24/2022] [Accepted: 01/04/2023] [Indexed: 02/09/2024]
Abstract
Adult-onset brain cancers, such as glioblastomas, are particularly lethal. People with glioblastoma multiforme (GBM) do not anticipate living for more than 15 months if there is no cure. The results of conventional treatments over the past 20 years have been underwhelming. Tumor aggressiveness, location, and lack of systemic therapies that can penetrate the blood-brain barrier are all contributing factors. For GBM treatments that appear promising in preclinical studies, there is a considerable rate of failure in phase I and II clinical trials. Unfortunately, access becomes impossible due to the intricate architecture of tumors. In vitro, bioengineered cancer models are currently being used by researchers to study disease development, test novel therapies, and advance specialized medications. Many different techniques for creating in vitro systems have arisen over the past few decades due to developments in cellular and tissue engineering. Later-stage research may yield better results if in vitro models that resemble brain tissue and the blood-brain barrier are used. With the use of 3D preclinical models made available by biomaterials, researchers have discovered that it is possible to overcome these limitations. Innovative in vitro models for the treatment of GBM are possible using biomaterials and novel drug carriers. This review discusses the benefits and drawbacks of 3D in vitro glioblastoma modeling systems.
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Affiliation(s)
- Tanvir Ahmed
- Department of Pharmaceutical Sciences, North South University, Bashundhara, Dhaka, 1229, Bangladesh
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20
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Reilly L, Seddighi S, Singleton AB, Cookson MR, Ward ME, Qi YA. Variant biomarker discovery using mass spectrometry-based proteogenomics. FRONTIERS IN AGING 2023; 4:1191993. [PMID: 37168844 PMCID: PMC10165118 DOI: 10.3389/fragi.2023.1191993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 04/13/2023] [Indexed: 05/13/2023]
Abstract
Genomic diversity plays critical roles in risk of disease pathogenesis and diagnosis. While genomic variants-including single nucleotide variants, frameshift variants, and mis-splicing isoforms-are commonly detected at the DNA or RNA level, their translated variant protein or polypeptide products are ultimately the functional units of the associated disease. These products are often released in biofluids and could be leveraged for clinical diagnosis and patient stratification. Recent emergence of integrated analysis of genomics with mass spectrometry-based proteomics for biomarker discovery, also known as proteogenomics, have significantly advanced the understanding disease risk variants, precise medicine, and biomarker discovery. In this review, we discuss variant proteins in the context of cancers and neurodegenerative diseases, outline current and emerging proteogenomic approaches for biomarker discovery, and provide a comprehensive proteogenomic strategy for detection of putative biomarker candidates in human biospecimens. This strategy can be implemented for proteogenomic studies in any field of enquiry. Our review timely addresses the need of biomarkers for aging related diseases.
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Affiliation(s)
- Luke Reilly
- Center for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Sahba Seddighi
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Andrew B. Singleton
- Center for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, United States
| | - Mark R. Cookson
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, United States
| | - Michael E. Ward
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
| | - Yue A. Qi
- Center for Alzheimer’s and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States
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21
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Zhang Y, Liu Z, Li J, Li X, Duo M, Weng S, Lv P, Jiang G, Wang C, Li Y, Liu S, Li Z. Prognosis and Personalized Treatment Prediction in Different Mutation-Signature Hepatocellular Carcinoma. J Hepatocell Carcinoma 2023; 10:241-255. [PMID: 36815095 PMCID: PMC9939670 DOI: 10.2147/jhc.s398431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Accepted: 02/07/2023] [Indexed: 02/16/2023] Open
Abstract
Introduction Mutation patterns have been extensively explored to decipher the etiologies of hepatocellular carcinoma (HCC). However, the study and potential clinical role of mutation patterns to stratify high-risk patients and optimize precision therapeutic strategies remain elusive in HCC. Methods Using exon-sequencing data in public (n=362) and in-house (n=30) cohorts, mutation signatures were extracted to decipher relationships with the etiology and prognosis in HCC. The proteomics (n=159) and cell-line transcriptome data (n=1019) were collected to screen the implication of sensitive drugs. A novel multi-step machine-learning framework was then performed to construct a classification predictor, including recognizing stable reversed gene pairs, establishing a robust prediction model, and validating the robustness of the predictor in five independent cohorts (n=900). Results Two heterogeneous mutation signature clusters were identified, and a high-risk prognosis cluster was recognized for further analysis. Notably, mutation signature cluster 1 (MSC1) was featured by activated anti-tumor immune and metabolism dysfunctional states, higher genomic instability (high TMB, SNV neoantigen, indel neoantigens, and total neoantigens), and a dismal prognosis. Notably, MSC performed as an independent risk factor than clinical traits (eg, stage, vascular invasion). Additionally, afatinib and canertinib were recognized which might have potential therapeutic implications in MSC1, and the targets of these drugs presented a higher expression in both gene and protein levels in HCC. Discussion Our studies may provide a promising platform for improving prognosis and tailoring therapy in HCC.
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Affiliation(s)
- Yuyuan Zhang
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Zaoqu Liu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Jie Li
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Xin Li
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Mengjie Duo
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Siyuan Weng
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Peijie Lv
- Department of Radiology, Zhengzhou University First Affiliated Hospital, Zhengzhou, Henan, People’s Republic of China
| | - Guozhong Jiang
- Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Caihong Wang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Yan Li
- Department Cardiology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Shichao Liu
- Department Cardiology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Zhen Li
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China,Correspondence: Zhen Li, Email
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22
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Bao X, Liu X, Wu Q, Ye F, Shi Z, Xu D, Zhang J, Dou Z, Huang G, Zhang H, Sun C. Mitochondrial-Targeted Antioxidant MitoQ-Mediated Autophagy: A Novel Strategy for Precise Radiation Protection. Antioxidants (Basel) 2023; 12:antiox12020453. [PMID: 36830013 PMCID: PMC9952602 DOI: 10.3390/antiox12020453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 02/08/2023] [Accepted: 02/09/2023] [Indexed: 02/16/2023] Open
Abstract
Radiotherapy (RT) is one of the most effective cancer treatments. However, successful radiation protection for normal tissue is a clinical challenge. Our previous study observed that MitoQ, a mitochondria-targeted antioxidant, was adsorbed to the inner mitochondrial membrane and remained the cationic moiety in the intermembrane space. The positive charges in MitoQ restrained the activity of respiratory chain complexes and decreased proton production. Therefore, a pseudo-mitochondrial membrane potential (PMMP) was developed via maintenance of exogenous positive charges. This study identified that PMMP constructed by MitoQ could effectively inhibit mitochondrial respiration within normal cells, disrupt energy metabolism, and activate adenosine 5'-monophosphate (AMP)-activated protein kinase (AMPK) signaling to induce autophagy. As such, it could not lead to starvation-induced autophagy among tumor cells due to the different energy phenotypes between normal and tumor cells (normal cells depend on mitochondrial respiration for energy supply, while tumor cells rely on aerobic glycolysis). Therefore, we successfully protected the normal cells from radiation-induced damage without affecting the tumor-killing efficacy of radiation by utilizing selective autophagy. MitoQ-constructed PMMP provides a new therapeutic strategy for specific radiation protection.
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Affiliation(s)
- Xingting Bao
- Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516000, China
- Key Laboratory of Heavy Ion Radiation Medicine of Gansu Province, Lanzhou 730000, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou 730000, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Xiongxiong Liu
- Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Key Laboratory of Heavy Ion Radiation Medicine of Gansu Province, Lanzhou 730000, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou 730000, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Qingfeng Wu
- Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Fei Ye
- Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Key Laboratory of Heavy Ion Radiation Medicine of Gansu Province, Lanzhou 730000, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou 730000, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Zheng Shi
- Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516000, China
- Key Laboratory of Heavy Ion Radiation Medicine of Gansu Province, Lanzhou 730000, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou 730000, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Dan Xu
- Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Jinhua Zhang
- Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516000, China
- Key Laboratory of Heavy Ion Radiation Medicine of Gansu Province, Lanzhou 730000, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou 730000, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Zhihui Dou
- Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516000, China
- Key Laboratory of Heavy Ion Radiation Medicine of Gansu Province, Lanzhou 730000, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou 730000, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Guomin Huang
- Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516000, China
- Key Laboratory of Heavy Ion Radiation Medicine of Gansu Province, Lanzhou 730000, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou 730000, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Hong Zhang
- Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516000, China
- Key Laboratory of Heavy Ion Radiation Medicine of Gansu Province, Lanzhou 730000, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou 730000, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 101408, China
- Correspondence: (H.Z.); (C.S.); Tel.: +86-(931)-519-6126 (H.Z.); +86-(931)-519-6027 (C.S.)
| | - Chao Sun
- Department of Medical Physics, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516000, China
- Key Laboratory of Heavy Ion Radiation Medicine of Gansu Province, Lanzhou 730000, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou 730000, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 101408, China
- Correspondence: (H.Z.); (C.S.); Tel.: +86-(931)-519-6126 (H.Z.); +86-(931)-519-6027 (C.S.)
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23
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Bader JM, Deigendesch N, Misch M, Mann M, Koch A, Meissner F. Proteomics separates adult-type diffuse high-grade gliomas in metabolic subgroups independent of 1p/19q codeletion and across IDH mutational status. Cell Rep Med 2023; 4:100877. [PMID: 36584682 PMCID: PMC9873829 DOI: 10.1016/j.xcrm.2022.100877] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 07/15/2022] [Accepted: 12/07/2022] [Indexed: 12/30/2022]
Abstract
High-grade adult-type diffuse gliomas are malignant neuroepithelial tumors with poor survival rates in combined chemoradiotherapy. The current WHO classification is based on IDH1/2 mutational and 1p/19q codeletion status. Glioma proteome alterations remain undercharacterized despite their promise for a better molecular patient stratification and therapeutic target identification. Here, we use mass spectrometry to characterize 42 formalin-fixed, paraffin-embedded (FFPE) samples from IDH-wild-type (IDHwt) gliomas, IDH-mutant (IDHmut) gliomas with and without 1p/19q codeletion, and non-neoplastic controls. Based on more than 5,500 quantified proteins and 5,000 phosphosites, gliomas separate by IDH1/2 mutational status but not by 1p/19q status. Instead, IDHmut gliomas split into two proteomic subtypes with widespread perturbations, including aerobic/anaerobic energy metabolism. Validations with three independent glioma proteome datasets confirm these subgroups and link the IDHmut subtypes to the established proneural and classic/mesenchymal subtypes in IDHwt glioma. This demonstrates common phenotypic subtypes across the IDH status with potential therapeutic implications for patients with IDHmut gliomas.
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Affiliation(s)
- Jakob Maximilian Bader
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany
| | - Nikolaus Deigendesch
- Pathology, Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, 4031 Basel, Switzerland
| | - Martin Misch
- Department of Neurosurgery, Charité, Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, and Humboldt-Universität zu Berlin, Berlin Institute of Health, 13353 Berlin, Germany
| | - Matthias Mann
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany; Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Arend Koch
- Department of Neuropathology, Charité, Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, and Humboldt-Universität zu Berlin, Berlin Institute of Health, 13353 Berlin, Germany.
| | - Felix Meissner
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany; Department of Systems Immunology and Proteomics, Institute of Innate Immunity, University Hospital Bonn, 53127 Bonn, Germany.
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24
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Cost Matrix of Molecular Pathology in Glioma-Towards AI-Driven Rational Molecular Testing and Precision Care for the Future. Biomedicines 2022; 10:biomedicines10123029. [PMID: 36551786 PMCID: PMC9775648 DOI: 10.3390/biomedicines10123029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 11/09/2022] [Accepted: 11/19/2022] [Indexed: 11/27/2022] Open
Abstract
Gliomas are the most common and aggressive primary brain tumors. Gliomas carry a poor prognosis because of the tumor's resistance to radiation and chemotherapy leading to nearly universal recurrence. Recent advances in large-scale genomic research have allowed for the development of more targeted therapies to treat glioma. While precision medicine can target specific molecular features in glioma, targeted therapies are often not feasible due to the lack of actionable markers and the high cost of molecular testing. This review summarizes the clinically relevant molecular features in glioma and the current cost of care for glioma patients, focusing on the molecular markers and meaningful clinical features that are linked to clinical outcomes and have a realistic possibility of being measured, which is a promising direction for precision medicine using artificial intelligence approaches.
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25
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Jovanovich N, Habib A, Head J, Anthony A, Edwards L, Zinn PO. Opinion: Bridging gaps and doubts in glioblastoma cell-of-origin. Front Oncol 2022; 12:1002933. [PMID: 36338762 PMCID: PMC9634038 DOI: 10.3389/fonc.2022.1002933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 09/30/2022] [Indexed: 11/24/2022] Open
Affiliation(s)
- Nicolina Jovanovich
- Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Ahmed Habib
- Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Jeffery Head
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Austin Anthony
- Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Lincoln Edwards
- Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Pascal O. Zinn
- Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
- *Correspondence: Pascal O. Zinn,
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Shen L, Zhang J, Zheng Z, Yang F, Liu S, Wu Y, Chen Y, Xu T, Mao S, Yan Y, Li W, Zhang W, Yao X. PHGDH Inhibits Ferroptosis and Promotes Malignant Progression by Upregulating SLC7A11 in Bladder Cancer. Int J Biol Sci 2022; 18:5459-5474. [PMID: 36147463 PMCID: PMC9461664 DOI: 10.7150/ijbs.74546] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 08/04/2022] [Indexed: 11/16/2022] Open
Abstract
Background: Bladder cancer (BCa) is a prevalent urologic malignancy that shows a poor prognosis. Abnormal metabolism and its key genes play a critical role in BCa progression. In this study, the role played by PhosphoGlycerol Dehydrogenase (PHGDH), an important molecule of serine metabolism, was investigated with regard to the regulation of ferroptosis in BCa. Methods: The BCa tissues of 90 patients were analyzed by RNA-sequencing for differential pathways and genes. Western blot, qPCR, and IHC were used to determine PHGDH expression in the cell lines (in vitro) and patient tissues (in vivo). R software was used to analyze PHGDH expression, prognosis, and PHGDH+SLC7A11 score. The biological functions of PHGDH were examined through organoids, and in vitro and in vivo experiments. C11 probes, electron microscopy, and ferroptosis inhibitors/ inducers were used to detect cellular ferroptosis levels. Protein profiling, co-IP, and RIP assays were used to screen proteins that might bind to PHGDH. PHGDH-targeted inhibitor NCT-502 was used to evaluate its effect on BCa cells. Results: PHGDH was highly expressed in patients with BCa. Knock-down of PHGDH promoted ferroptosis, while the decreased proliferation of BCa cells. Additionally, PHGDH knock-down downregulated the expression of SLC7A11. Co-IP and mass spectrometry experiments indicate that PHGDH binds to PCBP2, an RNA-binding protein, and inhibits its ubiquitination degradation. PCBP2 in turn stabilizes SLC7A11 mRNA and increases its expression. NCT-502, a PHGDH inhibitor, promotes ferroptosis and inhibits tumor progression in BCa. The PHGDH+ SLC7A11 score was significantly correlated with patient prognosis. Conclusions: To conclude, the PHGDH, via interaction with PCBP2, upregulates SLC7A11 expression. This inhibits ferroptosis and promotes the malignant progression of BCA. The results of this study indicated that NCT-502 could serve as a therapeutic strategy for BCa.
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Affiliation(s)
- Liliang Shen
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, 200072,Shanghai, China.,Urologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China.,Department of Urology, People's Hospital affiliated to Ningbo University, Ningbo University, Ningbo, China
| | - Junfeng Zhang
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, 200072,Shanghai, China.,Urologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China
| | - Zongtai Zheng
- Urologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China.,Department of Urology, Guangdong Second Provincial General Hospital, Guangzhou, 510317, Guangdong Province, China
| | - Fuhan Yang
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, 200072,Shanghai, China.,Urologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China
| | - Shenghua Liu
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, 200072,Shanghai, China.,Urologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China
| | - Yuan Wu
- Department of Urology, Hefei Cancer Hospital, Chinese Academy of Science, Hefei, China
| | - Yifan Chen
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, 200072,Shanghai, China.,Urologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China
| | - Tianyuan Xu
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, 200072,Shanghai, China.,Urologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China
| | - Shiyu Mao
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, 200072,Shanghai, China.,Urologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China
| | - Yang Yan
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, 200072,Shanghai, China.,Urologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China
| | - Wei Li
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, 200072,Shanghai, China.,Urologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China
| | - Wentao Zhang
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, 200072,Shanghai, China.,Urologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China
| | - Xudong Yao
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, 200072,Shanghai, China.,Urologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China
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Wang R, Zhao L, Wang S, Zhao X, Liang C, Wang P, Li D. Regulatory pattern of abnormal promoter CpG island methylation in the glioblastoma multiforme classification. Front Genet 2022; 13:989985. [PMID: 36199581 PMCID: PMC9527345 DOI: 10.3389/fgene.2022.989985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 08/30/2022] [Indexed: 11/15/2022] Open
Abstract
Glioblastoma (GBM) is characterized by extensive genetic and phenotypic heterogeneity. However, it remains unexplored primarily how CpG island methylation abnormalities in promoter mediate glioblastoma typing. First, we presented a multi-omics scale map between glioblastoma sample clusters constructed based on promoter CpG island (PCGI) methylation-driven genes, using datasets including methylation profiles, expression profiles, and single-cell sequencing data from multiple highly annotated public clinical cohorts. Second, we identified differences in the tumor microenvironment between the two glioblastoma sample clusters and resolved key signaling pathways between cell clusters at the single-cell level based on comprehensive comparative analyses to investigate the reasons for survival differences between two of these clusters. Finally, we developed a diagnostic map and a prediction model for glioblastoma, and compared theoretical differences of drug sensitivity between two glioblastoma sample clusters. In summary, this study established a classification system for dissecting promoter CpG island methylation heterogeneity in glioblastoma and provides a new perspective for the diagnosis and treatment of glioblastoma.
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Affiliation(s)
- Rendong Wang
- School of Biomedical Engineering, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical, Capital Medical University, Beijing, China
| | - Lei Zhao
- Department of Anesthesiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Shijia Wang
- School of Biomedical Engineering, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical, Capital Medical University, Beijing, China
| | - Xiaoxiao Zhao
- School of Biomedical Engineering, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical, Capital Medical University, Beijing, China
| | - Chuanyu Liang
- Department of Anesthesiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Pei Wang
- Department of Anesthesiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Dongguo Li
- School of Biomedical Engineering, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical, Capital Medical University, Beijing, China
- *Correspondence: Dongguo Li,
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28
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Wong D, Lee TH, Lum A, Tao VL, Yip S. Integrated proteomic analysis of low-grade gliomas reveals contributions of 1p-19q co-deletion to oligodendroglioma. Acta Neuropathol Commun 2022; 10:70. [PMID: 35526077 PMCID: PMC9080204 DOI: 10.1186/s40478-022-01372-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Accepted: 04/20/2022] [Indexed: 12/02/2022] Open
Abstract
Diffusely infiltrative low-grade gliomas (LGG) are primary brain tumours that arise predominantly in the cerebral hemispheres of younger adults. LGG can display either astrocytic or oligodendroglial histology and do not express malignant histological features. Vast majority of LGG are unified by IDH mutations. Other genomic features including ATRX as well as copy number status of chromosomes 1p and 19q serve to molecularly segregate this tumor group. Despite the exponential gains in molecular profiling and understanding of LGG, survival rates and treatment options have stagnated over the past few decades with few advancements. In this study, we utilize low grade glioma RNA-seq data from the Cancer Genome Atlas (TCGA-LGG) and tandem mass-spectrometry on an in-house cohort of 54 formalin-fixed paraffin-embedded (FFPE) LGG specimens to investigate the transcriptomic and proteomic profiles across the three molecular subtypes of LGG (Type I: IDH mutant – 1p19q co-deleted, Type II: IDH mutant – 1p19q retained, Type III: IDH wildtype). Within the 3 LGG subtypes, gene expression was driven heavily by IDH mutation and 1p19q co-deletion. In concordance with RNA expression, we were able to identify decreased expressions of proteins coded in 1p19q in Type I LGG. Further proteomic analysis identified 54 subtype specific proteins that were used to classify the three subtypes using a multinomial regression model (AUC = 0.911). Type I LGG were found to have increased protein expression of several metabolic proteins while Type III LGG were found to have increased immune infiltration and inflammation related proteins. Here we present the largest proteomic cohort of LGG and show that proteomic profiles can be successfully analyzed from FFPE tissues. We uncover previously known and novel subtype specific markers that are useful for the proteomic classification of LGG subtypes.
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29
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Na S, Choi H, Paek E. Deephos: Predicted spectral database search for TMT-labeled phosphopeptides and its false discovery rate estimation. Bioinformatics 2022; 38:2980-2987. [PMID: 35441674 DOI: 10.1093/bioinformatics/btac280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Revised: 03/26/2022] [Accepted: 04/14/2022] [Indexed: 11/14/2022] Open
Abstract
MOTIVATION Tandem mass tag (TMT)-based tandem mass spectrometry (MS/MS) has become the method of choice for the quantification of post-translational modifications in complex mixtures. Many cancer proteogenomic studies have highlighted the importance of large-scale phosphopeptide quantification coupled with TMT labeling. Herein, we propose a predicted Spectral DataBase (pSDB) search strategy called Deephos that can improve both sensitivity and specificity in identifying MS/MS spectra of TMT-labeled phosphopeptides. RESULTS With deep learning-based fragment ion prediction, we compiled a pSDB of TMT-labeled phosphopeptides generated from ∼8,000 human phosphoproteins annotated in UniProt. Deep learning could successfully recognize the fragmentation patterns altered by both TMT labeling and phosphorylation. In addition, we discuss the decoy spectra for false discovery rate (FDR) estimation in the pSDB search. We show that FDR could be inaccurately estimated by the existing decoy spectra generation methods and propose an innovative method to generate decoy spectra for more accurate FDR estimation. The utilities of Deephos were demonstrated in multi-stage analyses (coupled with database searches) of glioblastoma, acute myeloid leukemia, and breast cancer phosphoproteomes. AVAILABILITY Deephos pSDB and the search software are available at https://github.com/seungjinna/deephos.
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Affiliation(s)
- Seungjin Na
- Institute for Artificial Intelligence Research, Hanyang University, Seoul, 04763, Republic of Korea
| | - Hyunjin Choi
- Department of Automotive Engineering, Hanyang University, Seoul, 04763, Republic of Korea
| | - Eunok Paek
- Institute for Artificial Intelligence Research, Hanyang University, Seoul, 04763, Republic of Korea.,Department of Computer Science, Hanyang University, Seoul, 04763, Republic of Korea
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30
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Luo X, Ge J, Liu J, Liu Z, Bi C, Lan S. TFCP2, a binding protein of ATF3, promotes the progression of glioma by activating the synthesis of serine. Exp Cell Res 2022; 416:113136. [PMID: 35421367 DOI: 10.1016/j.yexcr.2022.113136] [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: 01/29/2022] [Revised: 03/29/2022] [Accepted: 04/01/2022] [Indexed: 11/26/2022]
Abstract
Glioma is one of the most common malignancies. De novo serine synthesis promotes glioma progression and therapeutic resistance. Therefore, clarifying the regulatory mechanism of serine synthesis is of great significance for glioma therapy. In this study, we found that the expression of TFCP2 was upregulated in glioma and that TFCP2 promoted glioma cell growth and sphere formation. Knockdown of TFCP2 expression inhibited glioma cell growth, sphere formation and tumorigenicity in nude mice. In terms of its molecular mechanism, TFCP2 was found to interact with ATF3 to cooperatively regulate the de novo synthesis of serine. Knockdown of TFCP2 expression significantly inhibited the binding of ATF3 to the promoter of PHGDH (a rate-limiting enzyme in the serine synthesis process). In conclusion, our studies proved that TFCP2 jointly regulates the de novo synthesis of serine through interaction with ATF3, thus promoting glioma progression. This study suggests that TFCP2 is a potential target for glioma therapy.
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Affiliation(s)
- Xiangying Luo
- Department of Neurosurgery, XiangYa Hospital of Central South University, Changsha, 410078, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, 410008, PR China
| | - Jianwei Ge
- Department of Neurosurgery, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200127, PR China
| | - Jinfang Liu
- Department of Neurosurgery, XiangYa Hospital of Central South University, Changsha, 410078, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, 410008, PR China
| | - Ziyuan Liu
- Department of Neurosurgery, XiangYa Hospital of Central South University, Changsha, 410078, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, 410008, PR China
| | - Changlong Bi
- Department of Neurosurgery, XiangYa Hospital of Central South University, Changsha, 410078, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, 410008, PR China
| | - Song Lan
- Department of Neurosurgery, XiangYa Hospital of Central South University, Changsha, 410078, PR China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, 410008, PR China.
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31
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Weke K, Kote S, Faktor J, Al Shboul S, Uwugiaren N, Brennan PM, Goodlett DR, Hupp TR, Dapic I. DIA-MS proteome analysis of formalin-fixed paraffin-embedded glioblastoma tissues. Anal Chim Acta 2022; 1204:339695. [DOI: 10.1016/j.aca.2022.339695] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 03/04/2022] [Accepted: 03/05/2022] [Indexed: 12/11/2022]
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32
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Yi K, Wu J, Tang X, Zhang Q, Wang B, Wang F. Identification of a novel glycolysis-related gene signature for predicting the survival of patients with colon adenocarcinoma. Scand J Gastroenterol 2022; 57:214-221. [PMID: 34644216 DOI: 10.1080/00365521.2021.1989026] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND The most frequent histologic subtype of colon cancer is colon adenocarcinoma (COAD). A major problem in the diagnosis and treatment of COAD is that there is lack of new biomarkers to indicate the early stage of COAD. Compared with normally differentiated cells, the glycolytic pathways of tumor cells are more active, thus making them more adaptable to the hypoxic environment of solid tumors, which is known as the Warburg effect. Therefore, establishing a diagnostic and prognostic model based on glycolysis-related genes may provide guidance for the precise treatment of colon cancer. METHODS The Cancer Genome Atlas (TCGA) mRNA data were used to identify differentially expressed genes (DEGs). The glycolysis-related DEGs were identified using Gene Set Enrichment Analysis (GSEA) with HALLMARK gene sets. Combined with clinical data, we identified prognostic genes in glycolysis-related DEGs based on Cox regression analysis. Four glycolysis-related genes were identified and a predictive model was developed using univariate and multivariate Cox regression analysis. cBioPortal investigated the chromosomal variations of these genes. Following that, survival analysis and receiver operating characteristic (ROC) curve validation were carried out. The correlations between glycolysis-related gene signatures and molecular features and cancer subtypes were analyzed. RESULTS We discovered five genes (SPAG4, P4HA1, STC2, ENO3, and GPC1) that are associated with COAD patients' prognosis. The risk score was more accurate in predicting prognosis when based on this gene signature in COAD patients. Furthermore, multivariate Cox regression analysis demonstrated that the glycolysis-related gene signature's predictive value was independent of clinical variables. CONCLUSION We identified a glycolysis-related five-gene signature and developed a risk staging model potentially valuable for the clinical management of COAD patients. Our results suggest that prognostic markers based on glycolysis-related genes may be a reliable predictive tool for the prognosis of COAD patients.
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Affiliation(s)
- Kezhen Yi
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, PR China
| | - Jianyuan Wu
- Clinical Trial Center of Zhongnan Hospital, Wuhan University, Wuhan, PR China
| | - Xuan Tang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, PR China
| | - Qian Zhang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, PR China
| | - Bicheng Wang
- Department of Pathology, Zhongnan Hospital of Wuhan University, Wuhan, PR China
| | - Fubing Wang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, PR China.,Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, PR China.,Wuhan Research Center for Infectious Diseases and Cancer, Chinese Academy of Medical Sciences, Wuhan, PR China
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33
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Kung CP, Weber JD. It’s Getting Complicated—A Fresh Look at p53-MDM2-ARF Triangle in Tumorigenesis and Cancer Therapy. Front Cell Dev Biol 2022; 10:818744. [PMID: 35155432 PMCID: PMC8833255 DOI: 10.3389/fcell.2022.818744] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 01/07/2022] [Indexed: 01/31/2023] Open
Abstract
Anti-tumorigenic mechanisms mediated by the tumor suppressor p53, upon oncogenic stresses, are our bodies’ greatest weapons to battle against cancer onset and development. Consequently, factors that possess significant p53-regulating activities have been subjects of serious interest from the cancer research community. Among them, MDM2 and ARF are considered the most influential p53 regulators due to their abilities to inhibit and activate p53 functions, respectively. MDM2 inhibits p53 by promoting ubiquitination and proteasome-mediated degradation of p53, while ARF activates p53 by physically interacting with MDM2 to block its access to p53. This conventional understanding of p53-MDM2-ARF functional triangle have guided the direction of p53 research, as well as the development of p53-based therapeutic strategies for the last 30 years. Our increasing knowledge of this triangle during this time, especially through identification of p53-independent functions of MDM2 and ARF, have uncovered many under-appreciated molecular mechanisms connecting these three proteins. Through recognizing both antagonizing and synergizing relationships among them, our consideration for harnessing these relationships to develop effective cancer therapies needs an update accordingly. In this review, we will re-visit the conventional wisdom regarding p53-MDM2-ARF tumor-regulating mechanisms, highlight impactful studies contributing to the modern look of their relationships, and summarize ongoing efforts to target this pathway for effective cancer treatments. A refreshed appreciation of p53-MDM2-ARF network can bring innovative approaches to develop new generations of genetically-informed and clinically-effective cancer therapies.
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Affiliation(s)
- Che-Pei Kung
- ICCE Institute, St. Louis, MO, United States
- Division of Molecular Oncology, Department of Medicine, St. Louis, MO, United States
- *Correspondence: Che-Pei Kung, ; Jason D. Weber,
| | - Jason D. Weber
- ICCE Institute, St. Louis, MO, United States
- Division of Molecular Oncology, Department of Medicine, St. Louis, MO, United States
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, United States
- *Correspondence: Che-Pei Kung, ; Jason D. Weber,
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34
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Hagiwara A, Tatekawa H, Yao J, Raymond C, Everson R, Patel K, Mareninov S, Yong WH, Salamon N, Pope WB, Nghiemphu PL, Liau LM, Cloughesy TF, Ellingson BM. Visualization of tumor heterogeneity and prediction of isocitrate dehydrogenase mutation status for human gliomas using multiparametric physiologic and metabolic MRI. Sci Rep 2022; 12:1078. [PMID: 35058510 PMCID: PMC8776874 DOI: 10.1038/s41598-022-05077-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 12/10/2021] [Indexed: 01/19/2023] Open
Abstract
This study aimed to differentiate isocitrate dehydrogenase (IDH) mutation status with the voxel-wise clustering method of multiparametric magnetic resonance imaging (MRI) and to discover biological underpinnings of the clusters. A total of 69 patients with treatment-naïve diffuse glioma were scanned with pH-sensitive amine chemical exchange saturation transfer MRI, diffusion-weighted imaging, fluid-attenuated inversion recovery, and contrast-enhanced T1-weighted imaging at 3 T. An unsupervised two-level clustering approach was used for feature extraction from acquired images. The logarithmic ratio of the labels in each class within tumor regions was applied to a support vector machine to differentiate IDH status. The highest performance to predict IDH mutation status was found for 10-class clustering, with a mean area under the curve, accuracy, sensitivity, and specificity of 0.94, 0.91, 0.90, and 0.91, respectively. Targeted biopsies revealed that the tissues with labels 7-10 showed high expression levels of hypoxia-inducible factor 1-alpha, glucose transporter 3, and hexokinase 2, which are typical of IDH wild-type glioma, whereas those with labels 1 showed low expression of these proteins. In conclusion, A machine learning model successfully predicted the IDH mutation status of gliomas, and the resulting clusters properly reflected the metabolic status of the tumors.
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Affiliation(s)
- Akifumi Hagiwara
- grid.19006.3e0000 0000 9632 6718UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, 924 Westwood Blvd., Suite 615, Los Angeles, CA 90024 USA ,grid.19006.3e0000 0000 9632 6718Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA USA ,grid.258269.20000 0004 1762 2738Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Hiroyuki Tatekawa
- grid.19006.3e0000 0000 9632 6718UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, 924 Westwood Blvd., Suite 615, Los Angeles, CA 90024 USA ,grid.19006.3e0000 0000 9632 6718Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA USA ,grid.261445.00000 0001 1009 6411Department of Diagnostic and Interventional Radiology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Jingwen Yao
- grid.19006.3e0000 0000 9632 6718UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, 924 Westwood Blvd., Suite 615, Los Angeles, CA 90024 USA ,grid.19006.3e0000 0000 9632 6718Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA USA ,grid.19006.3e0000 0000 9632 6718Department of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California Los Angeles, Los Angeles, CA USA
| | - Catalina Raymond
- grid.19006.3e0000 0000 9632 6718UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, 924 Westwood Blvd., Suite 615, Los Angeles, CA 90024 USA ,grid.19006.3e0000 0000 9632 6718Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA USA
| | - Richard Everson
- grid.19006.3e0000 0000 9632 6718Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA USA
| | - Kunal Patel
- grid.19006.3e0000 0000 9632 6718Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA USA
| | - Sergey Mareninov
- grid.19006.3e0000 0000 9632 6718Department of Pathology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA USA
| | - William H. Yong
- grid.19006.3e0000 0000 9632 6718Department of Pathology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA USA
| | - Noriko Salamon
- grid.19006.3e0000 0000 9632 6718Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA USA
| | - Whitney B. Pope
- grid.19006.3e0000 0000 9632 6718Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA USA
| | - Phioanh L. Nghiemphu
- grid.19006.3e0000 0000 9632 6718UCLA Neuro-Oncology Program, University of California, Los Angeles, Los Angeles, CA USA ,grid.19006.3e0000 0000 9632 6718Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA USA
| | - Linda M. Liau
- grid.19006.3e0000 0000 9632 6718Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA USA
| | - Timothy F. Cloughesy
- grid.19006.3e0000 0000 9632 6718UCLA Neuro-Oncology Program, University of California, Los Angeles, Los Angeles, CA USA ,grid.19006.3e0000 0000 9632 6718Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA USA
| | - Benjamin M. Ellingson
- grid.19006.3e0000 0000 9632 6718UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, 924 Westwood Blvd., Suite 615, Los Angeles, CA 90024 USA ,grid.19006.3e0000 0000 9632 6718Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA USA ,grid.19006.3e0000 0000 9632 6718Department of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California Los Angeles, Los Angeles, CA USA ,grid.19006.3e0000 0000 9632 6718UCLA Neuro-Oncology Program, University of California, Los Angeles, Los Angeles, CA USA ,grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA USA
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35
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Cardon T, Fournier I, Salzet M. Unveiling a Ghost Proteome in the Glioblastoma Non-Coding RNAs. Front Cell Dev Biol 2022; 9:703583. [PMID: 35004666 PMCID: PMC8733697 DOI: 10.3389/fcell.2021.703583] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 12/03/2021] [Indexed: 12/13/2022] Open
Abstract
Glioblastoma is the most common brain cancer in adults. Nevertheless, the median survival time is 15 months, if treated with at least a near total resection and followed by radiotherapy in association with temozolomide. In glioblastoma (GBM), variations of non-coding ribonucleic acid (ncRNA) expression have been demonstrated in tumor processes, especially in the regulation of major signaling pathways. Moreover, many ncRNAs present in their sequences an Open Reading Frame (ORF) allowing their translations into proteins, so-called alternative proteins (AltProt) and constituting the “ghost proteome.” This neglected world in GBM has been shown to be implicated in protein–protein interaction (PPI) with reference proteins (RefProt) reflecting involvement in signaling pathways linked to cellular mobility and transfer RNA regulation. More recently, clinical studies have revealed that AltProt is also involved in the patient’s survival and bad prognosis. We thus propose to review the ncRNAs involved in GBM and highlight their function in the disease.
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Affiliation(s)
- Tristan Cardon
- University of Lille, Inserm, CHU Lille, U1192-Protéomique Réponse Inflammatoire Spectrométrie de Masse-PRISM, Lille, France
| | - Isabelle Fournier
- University of Lille, Inserm, CHU Lille, U1192-Protéomique Réponse Inflammatoire Spectrométrie de Masse-PRISM, Lille, France.,Institut Universitaire de France, Paris, France
| | - Michel Salzet
- University of Lille, Inserm, CHU Lille, U1192-Protéomique Réponse Inflammatoire Spectrométrie de Masse-PRISM, Lille, France.,Institut Universitaire de France, Paris, France
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Mikolajewicz N, Khan S, Trifoi M, Skakdoub A, Ignatchenko V, Mansouri S, Zuccato J, Zacharia BE, Glantz M, Zadeh G, Moffat J, Kislinger T, Mansouri A. Leveraging the CSF proteome toward minimally-invasive diagnostics surveillance of brain malignancies. Neurooncol Adv 2022; 4:vdac161. [PMID: 36382110 PMCID: PMC9639356 DOI: 10.1093/noajnl/vdac161] [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] [Indexed: 11/05/2022] Open
Abstract
Background Diagnosis and prognostication of intra-axial brain tumors hinges on invasive brain sampling, which carries risk of morbidity. Minimally-invasive sampling of proximal fluids, also known as liquid biopsy, can mitigate this risk. Our objective was to identify diagnostic and prognostic cerebrospinal fluid (CSF) proteomic signatures in glioblastoma (GBM), brain metastases (BM), and primary central nervous system lymphoma (CNSL). Methods CSF samples were retrospectively retrieved from the Penn State Neuroscience Biorepository and profiled using shotgun proteomics. Proteomic signatures were identified using machine learning classifiers and survival analyses. Results Using 30 µL CSF volumes, we recovered 755 unique proteins across 73 samples. Proteomic-based classifiers identified malignancy with area under the receiver operating characteristic (AUROC) of 0.94 and distinguished between tumor entities with AUROC ≥0.95. More clinically relevant triplex classifiers, comprised of just three proteins, distinguished between tumor entities with AUROC of 0.75-0.89. Novel biomarkers were identified, including GAP43, TFF3 and CACNA2D2, and characterized using single cell RNA sequencing. Survival analyses validated previously implicated prognostic signatures, including blood-brain barrier disruption. Conclusions Reliable classification of intra-axial malignancies using low CSF volumes is feasible, allowing for longitudinal tumor surveillance.
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Affiliation(s)
- Nicholas Mikolajewicz
- Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, Canada
| | - Shahbaz Khan
- Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Mara Trifoi
- Department of Neurosurgery, Penn State Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
| | - Anna Skakdoub
- Department of Neurosurgery, Penn State Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
| | | | - Sheila Mansouri
- MacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, Ontario, Canada
| | - Jeffrey Zuccato
- MacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, Ontario, Canada
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Brad E Zacharia
- Department of Neurosurgery, Penn State Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
| | - Michael Glantz
- Department of Neurosurgery, Penn State Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
| | - Gelareh Zadeh
- MacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, Ontario, Canada
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Jason Moffat
- Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, Canada
- Institute for Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Thomas Kislinger
- Thomas Kislinger, PhD, Department of Medical Biophysics, University of Toronto, MaRS Centre, 101 College Street, Room 9-807, Toronto, Ontario, M5G 1L8, Canada ()
| | - Alireza Mansouri
- Corresponding Authors: Alireza Mansouri, MD, MSc, Department of Neurosurgery, Penn State Health, 30 Hope Drive Suite 1200, Hershey, PA, 17011, USA ()
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Fathi Kazerooni A, Bagley SJ, Akbari H, Saxena S, Bagheri S, Guo J, Chawla S, Nabavizadeh A, Mohan S, Bakas S, Davatzikos C, Nasrallah MP. Applications of Radiomics and Radiogenomics in High-Grade Gliomas in the Era of Precision Medicine. Cancers (Basel) 2021; 13:cancers13235921. [PMID: 34885031 PMCID: PMC8656630 DOI: 10.3390/cancers13235921] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 11/19/2021] [Accepted: 11/22/2021] [Indexed: 12/22/2022] Open
Abstract
Simple Summary Radiomics and radiogenomics offer new insight into high-grade glioma biology, as well as into glioma behavior in response to standard therapies. In this article, we provide neuro-oncology, neuropathology, and computational perspectives on the role of radiomics in providing more accurate diagnoses, prognostication, and surveillance of patients with high-grade glioma, and on the potential application of radiomics in clinical practice, with the overarching goal of advancing precision medicine for optimal patient care. Abstract Machine learning (ML) integrated with medical imaging has introduced new perspectives in precision diagnostics of high-grade gliomas, through radiomics and radiogenomics. This has raised hopes for characterizing noninvasive and in vivo biomarkers for prediction of patient survival, tumor recurrence, and genomics and therefore encouraging treatments tailored to individualized needs. Characterization of tumor infiltration based on pre-operative multi-parametric magnetic resonance imaging (MP-MRI) scans may allow prediction of the loci of future tumor recurrence and thereby aid in planning the course of treatment for the patients, such as optimizing the extent of resection and the dose and target area of radiation. Imaging signatures of tumor genomics can help in identifying the patients who benefit from certain targeted therapies. Specifying molecular properties of gliomas and prediction of their changes over time and with treatment would allow optimization of treatment. In this article, we provide neuro-oncology, neuropathology, and computational perspectives on the promise of radiomics and radiogenomics for allowing personalized treatments of patients with gliomas and discuss the challenges and limitations of these methods in multi-institutional clinical trials and suggestions to mitigate the issues and the future directions.
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Affiliation(s)
- Anahita Fathi Kazerooni
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA 19104, USA; (A.F.K.); (H.A.); (S.S.); (J.G.); (A.N.); (S.M.); (S.B.); (C.D.)
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; (S.B.); (S.C.)
| | - Stephen J. Bagley
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA;
- Glioblastoma Translational Center of Excellence, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hamed Akbari
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA 19104, USA; (A.F.K.); (H.A.); (S.S.); (J.G.); (A.N.); (S.M.); (S.B.); (C.D.)
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; (S.B.); (S.C.)
| | - Sanjay Saxena
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA 19104, USA; (A.F.K.); (H.A.); (S.S.); (J.G.); (A.N.); (S.M.); (S.B.); (C.D.)
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; (S.B.); (S.C.)
| | - Sina Bagheri
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; (S.B.); (S.C.)
| | - Jun Guo
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA 19104, USA; (A.F.K.); (H.A.); (S.S.); (J.G.); (A.N.); (S.M.); (S.B.); (C.D.)
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; (S.B.); (S.C.)
| | - Sanjeev Chawla
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; (S.B.); (S.C.)
| | - Ali Nabavizadeh
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA 19104, USA; (A.F.K.); (H.A.); (S.S.); (J.G.); (A.N.); (S.M.); (S.B.); (C.D.)
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; (S.B.); (S.C.)
| | - Suyash Mohan
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA 19104, USA; (A.F.K.); (H.A.); (S.S.); (J.G.); (A.N.); (S.M.); (S.B.); (C.D.)
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; (S.B.); (S.C.)
| | - Spyridon Bakas
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA 19104, USA; (A.F.K.); (H.A.); (S.S.); (J.G.); (A.N.); (S.M.); (S.B.); (C.D.)
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; (S.B.); (S.C.)
- Department of Pathology & Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA 19104, USA; (A.F.K.); (H.A.); (S.S.); (J.G.); (A.N.); (S.M.); (S.B.); (C.D.)
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; (S.B.); (S.C.)
| | - MacLean P. Nasrallah
- Glioblastoma Translational Center of Excellence, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Pathology & Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Correspondence:
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Pharmaco-proteogenomic profiling of pediatric diffuse midline glioma to inform future treatment strategies. Oncogene 2021; 41:461-475. [PMID: 34759345 PMCID: PMC8782719 DOI: 10.1038/s41388-021-02102-y] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Revised: 10/20/2021] [Accepted: 10/26/2021] [Indexed: 12/13/2022]
Abstract
Diffuse midline glioma (DMG) is a deadly pediatric and adolescent central nervous system (CNS) tumor localized along the midline structures of the brain atop the spinal cord. With a median overall survival (OS) of just 9–11-months, DMG is characterized by global hypomethylation of histone H3 at lysine 27 (H3K27me3), driven by recurring somatic mutations in H3 genes including, HIST1H3B/C (H3.1K27M) or H3F3A (H3.3K27M), or through overexpression of EZHIP in patients harboring wildtype H3. The recent World Health Organization’s 5th Classification of CNS Tumors now designates DMG as, ‘H3 K27-altered’, suggesting that global H3K27me3 hypomethylation is a ubiquitous feature of DMG and drives devastating transcriptional programs for which there are no treatments. H3-alterations co-segregate with various other somatic driver mutations, highlighting the high-level of intertumoral heterogeneity of DMG. Furthermore, DMG is also characterized by very high-level intratumoral diversity with tumors harboring multiple subclones within each primary tumor. Each subclone contains their own combinations of driver and passenger lesions that continually evolve, making precision-based medicine challenging to successful execute. Whilst the intertumoral heterogeneity of DMG has been extensively investigated, this is yet to translate to an increase in patient survival. Conversely, our understanding of the non-genomic factors that drive the rapid growth and fatal nature of DMG, including endogenous and exogenous microenvironmental influences, neurological cues, and the posttranscriptional and posttranslational architecture of DMG remains enigmatic or at best, immature. However, these factors are likely to play a significant role in the complex biological sequelae that drives the disease. Here we summarize the heterogeneity of DMG and emphasize how analysis of the posttranslational architecture may improve treatment paradigms. We describe factors that contribute to treatment response and disease progression, as well as highlight the potential for pharmaco-proteogenomics (i.e., the integration of genomics, proteomics and pharmacology) in the management of this uniformly fatal cancer.
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Tribe AK, McConnell MJ, Teesdale-Spittle PH. The Big Picture of Glioblastoma Malignancy: A Meta-Analysis of Glioblastoma Proteomics to Identify Altered Biological Pathways. ACS OMEGA 2021; 6:24535-24544. [PMID: 34604635 PMCID: PMC8482494 DOI: 10.1021/acsomega.1c02991] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Indexed: 05/08/2023]
Abstract
Glioblastoma is a highly malignant cancer with no effective treatment. It is vital to elucidate the mechanisms which drive glioblastoma in order to identify therapeutic targets. The differences in protein expression between glioblastoma, grade I-III glioma, and normal brain tissue reflect the functional alterations driving malignancy. However, proteomic analysis of glioblastoma has been hampered by the heterogeneity of glioblastoma and the variety of methodology used in its study. To reduce these inconsistencies, we performed a meta-analysis of the literature published since 2015, including 14 datasets from eight papers comparing the whole proteome of glioblastoma to normal brain or grade I-III glioma. We found that 154 proteins were commonly upregulated and 116 proteins were commonly downregulated in glioblastoma compared to normal brain. Meanwhile, 240 proteins were commonly upregulated and 125 proteins were commonly downregulated in glioblastoma compared to grade I-III glioma. Functional enrichment analysis revealed upregulation of proteins involved in mRNA splicing and the immune system and downregulation of proteins involved in synaptic signaling and glucose and glutamine metabolism. The identification of these altered biological pathways provides a basis for deeper investigation in the pursuit of an effective treatment for glioblastoma.
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40
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Bonner ER, Waszak SM, Grotzer MA, Mueller S, Nazarian J. Mechanisms of imipridones in targeting mitochondrial metabolism in cancer cells. Neuro Oncol 2021; 23:542-556. [PMID: 33336683 DOI: 10.1093/neuonc/noaa283] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
ONC201 is the first member of the imipridone family of anticancer drugs to enter the clinic for the treatment of diverse solid and hematologic cancers. A subset of pediatric and adult patients with highly aggressive brain tumors has shown remarkable clinical responses to ONC201, and recently, the more potent derivative ONC206 entered clinical trials as a single agent for the treatment of central nervous system (CNS) cancers. Despite the emerging clinical interest in the utility of imipridones, their exact molecular mechanisms are not fully described. In fact, the existing literature points to multiple pathways (e.g. tumor necrosis factor (TNF)-related apoptosis-inducing ligand (TRAIL) signaling, dopamine receptor antagonism, and mitochondrial metabolism) as putative drug targets. We have performed a comprehensive literature review and highlighted mitochondrial metabolism as the major target of imipridones. In support of this, we performed a meta-analysis of an ONC201 screen across 539 human cancer cell lines and showed that the mitochondrial caseinolytic protease proteolytic subunit (ClpP) is the most significant predictive biomarker of response to treatment. Herein, we summarize the main findings on the anticancer mechanisms of this potent class of drugs, provide clarity on their role, and identify clinically relevant predictive biomarkers of response.
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Affiliation(s)
- Erin R Bonner
- Center for Genetic Medicine, Children's National Health System, Washington, DC.,Institute for Biomedical Sciences, The George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Sebastian M Waszak
- Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo and Oslo University Hospital, Oslo, Norway.,Department of Pediatric Research, Division of Paediatric and Adolescent Medicine, Rikshospitalet, Oslo University Hospital, Oslo, Norway
| | - Michael A Grotzer
- Department of Oncology, University Children's Hospital Zürich, Zürich, Switzerland
| | - Sabine Mueller
- Department of Oncology, University Children's Hospital Zürich, Zürich, Switzerland.,Department of Neurology, Neurosurgery and Pediatrics, University of California San Francisco, San Francisco, California
| | - Javad Nazarian
- Center for Genetic Medicine, Children's National Health System, Washington, DC.,Institute for Biomedical Sciences, The George Washington University School of Medicine and Health Sciences, Washington, DC.,Department of Oncology, University Children's Hospital Zürich, Zürich, Switzerland
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Abstract
Glioblastoma remains incurable despite advances in surgery, radiation, and chemotherapy, underscoring the need for new therapies. The genetic heterogenicity, presence of redundant molecular pathways, and the blood-brain barrier have limited the applicability of molecularly targeted agents. The therapeutic benefit seen with a small subset of patients suggests, however, that patient selection is critical. Recent investigations show that molecularly targeted synthetic lethality is a promising complementary approach. The article provides an overview of the challenges of molecularly targeted therapy in adults with glioblastoma, including current trials and future therapeutic directions.
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Affiliation(s)
- Matthew A Smith-Cohn
- Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, 37 Convent Drive, Building 37, Room 1016, Bethesda, MD 20892, USA; Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Orieta Celiku
- Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, 37 Convent Drive, Building 37, Room 1142, Bethesda, MD 20892, USA
| | - Mark R Gilbert
- Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
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Koehler A, Karve A, Desai P, Arbiser J, Plas DR, Qi X, Read RD, Sasaki AT, Gawali VS, Toukam DK, Bhattacharya D, Kallay L, Pomeranz Krummel DA, Sengupta S. Reuse of Molecules for Glioblastoma Therapy. Pharmaceuticals (Basel) 2021; 14:99. [PMID: 33525329 PMCID: PMC7912673 DOI: 10.3390/ph14020099] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 01/25/2021] [Indexed: 12/12/2022] Open
Abstract
Glioblastoma multiforme (GBM) is a highly malignant primary brain tumor. The current standard of care for GBM is the Stupp protocol which includes surgical resection, followed by radiotherapy concomitant with the DNA alkylator temozolomide; however, survival under this treatment regimen is an abysmal 12-18 months. New and emerging treatments include the application of a physical device, non-invasive 'tumor treating fields' (TTFs), including its concomitant use with standard of care; and varied vaccines and immunotherapeutics being trialed. Some of these approaches have extended life by a few months over standard of care, but in some cases are only available for a minority of GBM patients. Extensive activity is also underway to repurpose and reposition therapeutics for GBM, either alone or in combination with the standard of care. In this review, we present select molecules that target different pathways and are at various stages of clinical translation as case studies to illustrate the rationale for their repurposing-repositioning and potential clinical use.
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Affiliation(s)
- Abigail Koehler
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA; (A.K.); (V.S.G.); (D.K.T.); (D.B.); (L.K.); (D.A.P.K.)
| | - Aniruddha Karve
- Division of Pharmaceutical Sciences, University of Cincinnati James L. Winkle College of Pharmacy, Cincinnati, OH 45229, USA; (A.K.); (P.D.)
| | - Pankaj Desai
- Division of Pharmaceutical Sciences, University of Cincinnati James L. Winkle College of Pharmacy, Cincinnati, OH 45229, USA; (A.K.); (P.D.)
| | - Jack Arbiser
- Department of Dermatology, Emory School of Medicine, Atlanta, GA 30322, USA;
- Atlanta Veterans Administration Medical Center, Decatur, GA 30033, USA
| | - David R. Plas
- Department of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA;
| | - Xiaoyang Qi
- Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA; (X.Q.); (A.T.S.)
| | - Renee D. Read
- Department of Pharmacology and Chemical Biology, Emory School of Medicine, Atlanta, GA 30322, USA;
| | - Atsuo T. Sasaki
- Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA; (X.Q.); (A.T.S.)
| | - Vaibhavkumar S. Gawali
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA; (A.K.); (V.S.G.); (D.K.T.); (D.B.); (L.K.); (D.A.P.K.)
| | - Donatien K. Toukam
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA; (A.K.); (V.S.G.); (D.K.T.); (D.B.); (L.K.); (D.A.P.K.)
| | - Debanjan Bhattacharya
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA; (A.K.); (V.S.G.); (D.K.T.); (D.B.); (L.K.); (D.A.P.K.)
| | - Laura Kallay
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA; (A.K.); (V.S.G.); (D.K.T.); (D.B.); (L.K.); (D.A.P.K.)
| | - Daniel A. Pomeranz Krummel
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA; (A.K.); (V.S.G.); (D.K.T.); (D.B.); (L.K.); (D.A.P.K.)
| | - Soma Sengupta
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA; (A.K.); (V.S.G.); (D.K.T.); (D.B.); (L.K.); (D.A.P.K.)
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Robinson AJ, Jain A, Sherman HG, Hague RJM, Rahman R, Sanjuan‐Alberte P, Rawson FJ. Toward Hijacking Bioelectricity in Cancer to Develop New Bioelectronic Medicine. ADVANCED THERAPEUTICS 2021. [DOI: 10.1002/adtp.202000248] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Andie J. Robinson
- Regenerative Medicine and Cellular Therapies, School of Pharmacy University of Nottingham Nottingham NG7 2RD UK
| | - Akhil Jain
- Regenerative Medicine and Cellular Therapies, School of Pharmacy University of Nottingham Nottingham NG7 2RD UK
| | - Harry G. Sherman
- Regenerative Medicine and Cellular Therapies, School of Pharmacy University of Nottingham Nottingham NG7 2RD UK
| | - Richard J. M. Hague
- Centre for Additive Manufacturing, Faculty of Engineering University of Nottingham Nottingham NG8 1BB UK
| | - Ruman Rahman
- Children's Brain Tumour Research Centre, Biodiscovery Institute, School of Medicine University of Nottingham Nottingham NG7 2RD UK
| | - Paola Sanjuan‐Alberte
- Regenerative Medicine and Cellular Therapies, School of Pharmacy University of Nottingham Nottingham NG7 2RD UK
- Department of Bioengineering and iBB‐Institute for Bioengineering and Biosciences, Instituto Superior Técnico Universidade de Lisboa Lisbon 1049‐001 Portugal
| | - Frankie J. Rawson
- Regenerative Medicine and Cellular Therapies, School of Pharmacy University of Nottingham Nottingham NG7 2RD UK
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Kast RE, Burns TC, Halatsch ME. Short review of SEC, a potential dexamethasone-sparing regimen for glioblastoma: Spironolactone, ecallantide, clotrimazole. Neurochirurgie 2021; 67:508-515. [PMID: 33450263 DOI: 10.1016/j.neuchi.2020.12.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 10/31/2020] [Accepted: 12/22/2020] [Indexed: 11/17/2022]
Abstract
This paper presents a short review of data supporting a dexamethasone sparing regimen, SEC, to reduce glioblastoma related brain edema. The conclusion of the reviewed data is that the rationale and risk/benefit ratio favors a pilot study to determine if the three drug regimen of SEC can reduce need for corticosteroid use during the course of glioblastoma. Details of how selected pathophysiological aspects of brain edema occurring during the course of glioblastoma and its treatment intersect with the established action of the three old drugs of SEC indicate that they can be repurposed to reduce that edema. Current first-line treatment of this edema is dexamethasone or related corticosteroids. There are multiple negative prognostic implications of both the edema itself and of dexamethasone, prime among them shortened survival, making a dexamethasone sparing regimen highly desirable. SEC uses spironolactone, an antihypertensive potassium-sparing diuretic acting by mineralocorticoid receptor inhibition, ecallantide acting to inhibit kallikrein activation marketed to treat hereditary angioedema, and clotrimazole, an old antifungal drug that inhibits intermediate conductance Ca++ activated K+ channel (KCa3.1). These three old drugs are well known to most clinicians, have a well-tolerated safety history, and have a robust preclinical database showing their potential to reduce the specific edema of glioblastoma. Additionally, these three drugs were chosen by virtue of each having preclinical evidence of glioblastoma growth and/or migration inhibition independent of their edema reduction action. A clinical study of SEC is being planned.
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Affiliation(s)
- R E Kast
- IIAIGC Study Center, 11, Arlington Ct, VT 05408 Burlington, USA.
| | - T C Burns
- Department of Neurologic Surgery, Mayo Clinic, 200, First St SW, MN 55905 Rochester, USA
| | - M-E Halatsch
- Department of Neurosurgery, Ulm University Hospital, Albert-Einstein-Allée 23, D-89081 Ulm, Germany; Department of Neurosurgery, Cantonal Hospital of Winterthur, Brauerstr, 15, CH-8401, Winterthur, Switzerland
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Bagley SJ, Till J, Abdalla A, Sangha HK, Yee SS, Freedman J, Black TA, Hussain J, Binder ZA, Brem S, Desai AS, O’Rourke DM, Long Q, Nabavizadeh SA, Carpenter EL. Association of plasma cell-free DNA with survival in patients with IDH wild-type glioblastoma. Neurooncol Adv 2021; 3:vdab011. [PMID: 33615225 PMCID: PMC7883768 DOI: 10.1093/noajnl/vdab011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND We aimed to determine whether plasma cell-free DNA (cfDNA) concentration is associated with survival in patients with isocitrate dehydrogenase (IDH) wild-type glioblastoma (GBM). METHODS Pre-operative and post-chemoradiotherapy blood samples were prospectively collected from patients with newly diagnosed IDH wild-type GBM. Patients underwent surgical resection or biopsy and received adjuvant radiotherapy with concomitant temozolomide. Cell-free DNA (cfDNA) was isolated from plasma and quantified using SYBR Green-based q polymerase chain reaction (qPCR). RESULTS Sixty-two patients were enrolled and categorized into high vs. low cfDNA groups relative to the pre-operative median value (25.2 ng/mL, range 5.7-153.0 ng/mL). High pre-operative cfDNA concentration was associated with inferior PFS (median progression-free survival (PFS), 3.4 vs. 7.7 months; log-rank P = .004; hazard ratio [HR], 2.19; 95% CI, 1.26-3.81) and overall survival (OS) (median OS, 8.0 vs. 13.9 months; log-rank P = .01; HR, 2.43; 95% CI, 1.19-4.95). After adjusting for risk factors, including O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status, pre-operative cfDNA remained independently associated with PFS (HR, 2.70; 95% CI, 1.50-4.83; P = .001) and OS (HR, 2.65; 95% CI, 1.25-5.59; P = .01). Post-hoc analysis of change in cfDNA post-chemoradiotherapy compared to pre-surgery (n = 24) showed increasing cfDNA concentration was associated with worse PFS (median, 2.7 vs. 6.0 months; log-rank P = .003; HR, 4.92; 95% CI, 1.53-15.84) and OS (median, 3.9 vs. 19.4 months; log-rank P < .001; HR, 7.77; 95% CI, 2.17-27.76). CONCLUSIONS cfDNA concentration is a promising prognostic biomarker for patients with IDH wild-type GBM. Plasma cfDNA can be obtained noninvasively and may enable more accurate estimates of survival and effective clinical trial stratification.
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Affiliation(s)
- Stephen J Bagley
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Glioblastoma Translational Center of Excellence, Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Abramson Cancer Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Jacob Till
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Aseel Abdalla
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Hareena K Sangha
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Stephanie S Yee
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Jake Freedman
- College of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Taylor A Black
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Jasmin Hussain
- Department of Neurosurgery, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Zev A Binder
- Glioblastoma Translational Center of Excellence, Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Neurosurgery, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Steven Brem
- Glioblastoma Translational Center of Excellence, Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Neurosurgery, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Arati S Desai
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Glioblastoma Translational Center of Excellence, Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Abramson Cancer Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Donald M O’Rourke
- Glioblastoma Translational Center of Excellence, Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Neurosurgery, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Qi Long
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Seyed Ali Nabavizadeh
- Glioblastoma Translational Center of Excellence, Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Radiology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Erica L Carpenter
- Division of Hematology-Oncology, Department of Medicine, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Glioblastoma Translational Center of Excellence, Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Abramson Cancer Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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Yoon SJ, Son HY, Shim JK, Moon JH, Kim EH, Chang JH, Teo WY, Kim SH, Park SW, Huh YM, Kang SG. Co-expression of cancer driver genes: IDH-wildtype glioblastoma-derived tumorspheres. J Transl Med 2020; 18:482. [PMID: 33317554 PMCID: PMC7734785 DOI: 10.1186/s12967-020-02647-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 11/27/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Driver genes of GBM may be crucial for the onset of isocitrate dehydrogenase (IDH)-wildtype (WT) glioblastoma (GBM). However, it is still unknown whether the genes are expressed in the identical cluster of cells. Here, we have examined the gene expression patterns of GBM tissues and patient-derived tumorspheres (TSs) and aimed to find a progression-related gene. METHODS We retrospectively collected primary IDH-WT GBM tissue samples (n = 58) and tumor-free cortical tissue samples (control, n = 20). TSs are isolated from the IDH-WT GBM tissue with B27 neurobasal medium. Associations among the driver genes were explored in the bulk tissue, bulk cell, and a single cell RNAsequencing techniques (scRNAseq) considering the alteration status of TP53, PTEN, EGFR, and TERT promoter as well as MGMT promoter methylation. Transcriptomic perturbation by temozolomide (TMZ) was examined in the two TSs. RESULTS We comprehensively compared the gene expression of the known driver genes as well as MGMT, PTPRZ1, or IDH1. Bulk RNAseq databases of the primary GBM tissue revealed a significant association between TERT and TP53 (p < 0.001, R = 0.28) and its association increased in the recurrent tumor (p < 0.001, R = 0.86). TSs reflected the tissue-level patterns of association between the two genes (p < 0.01, R = 0.59, n = 20). A scRNAseq data of a TS revealed the TERT and TP53 expressing cells are in a same single cell cluster. The driver-enriched cluster dominantly expressed the glioma-associated long noncoding RNAs. Most of the driver-associated genes were downregulated after TMZ except IGFBP5. CONCLUSIONS GBM tissue level expression patterns of EGFR, TERT, PTEN, IDH1, PTPRZ1, and MGMT are observed in the GBM TSs. The driver gene-associated cluster of the GBM single cells were enriched with the glioma-associated long noncoding RNAs.
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Affiliation(s)
- Seon-Jin Yoon
- Department of Biochemistry and Molecular Biology, College of Medicine, Yonsei University, Seoul, Korea
- Brain Korea 21 PLUS Project for Medical Science, Yonsei University, Seoul, Korea
| | - Hye Young Son
- Severance Biomedical Science Institute, College of Medicine, Yonsei University, Seoul, Korea
| | - Jin-Kyoung Shim
- Department of Neurosurgery, Brain Tumor Center, Severance Hospital, College of Medicine, Yonsei University, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Ju Hyung Moon
- Department of Neurosurgery, Brain Tumor Center, Severance Hospital, College of Medicine, Yonsei University, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Eui-Hyun Kim
- Department of Neurosurgery, Brain Tumor Center, Severance Hospital, College of Medicine, Yonsei University, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Jong Hee Chang
- Department of Neurosurgery, Brain Tumor Center, Severance Hospital, College of Medicine, Yonsei University, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Wan Yee Teo
- Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore, Singapore
- National Cancer Center, Singapore, Singapore
- KK Women's and Children's Hospital, Singapore, Singapore
- Institute of Molecular and Cell Biology, A*STAR, Singapore, Singapore
| | - Se Hoon Kim
- Department of Pathology, Severance Hospital, College of Medicine, Yonsei University, Seoul, Korea
| | - Sahng Wook Park
- Department of Biochemistry and Molecular Biology, College of Medicine, Yonsei University, Seoul, Korea
- Brain Korea 21 PLUS Project for Medical Science, Yonsei University, Seoul, Korea
| | - Yong-Min Huh
- Department of Biochemistry and Molecular Biology, College of Medicine, Yonsei University, Seoul, Korea.
- Severance Biomedical Science Institute, College of Medicine, Yonsei University, Seoul, Korea.
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
- YUHS-KRIBB Medical Convergence Research Institute, Seoul, Republic of Korea.
| | - Seok-Gu Kang
- Department of Neurosurgery, Brain Tumor Center, Severance Hospital, College of Medicine, Yonsei University, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
- Department of Medical Science, Yonsei University Graduate School, Seoul, Korea.
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