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Nikolova E, Laleva L, Milev M, Spiriev T, Stoyanov S, Ferdinandov D, Mitev V, Todorova A. miRNAs and related genetic biomarkers according to the WHO glioma classification: From diagnosis to future therapeutic targets. Noncoding RNA Res 2024; 9:141-152. [PMID: 38035044 PMCID: PMC10686814 DOI: 10.1016/j.ncrna.2023.10.003] [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: 08/07/2023] [Revised: 10/04/2023] [Accepted: 10/06/2023] [Indexed: 12/02/2023] Open
Abstract
In the 2021 WHO classification of Tumors of the Central Nervous System, additional molecular characteristics have been included, defining the following adult-type diffuse glioma entities: Astrocytoma IDH-mutant, Oligodendroglioma IDH-mutant and 1p/19q-codeleted, and Glioblastoma IDH-wildtype. Despite advances in genetic analysis, precision oncology, and targeted therapy, malignant adult-type diffuse gliomas remain "hard-to-treat tumors", indicating an urgent need for better diagnostic and therapeutic strategies. In the last decades, miRNA analysis has been a hotspot for researching and developing diagnostic, prognostic, and predictive biomarkers for various disorders, including brain cancer. Scientific interest has recently been directed towards therapeutic applications of miRNAs, with encouraging results. Databases such as NCBI, PubMed, and Medline were searched for a selection of articles reporting the relationship between deregulated miRNAs and genetic aberrations used in the latest WHO CNS classification. The current review discussed the recommended molecular biomarkers and genetic aberrations based on the 2021 WHO classification in adult-type diffuse gliomas, along with associated deregulated miRNAs. Additionally, the study highlights miRNA-based treatment advancements in adults with gliomas.
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Affiliation(s)
- Emiliya Nikolova
- Department of Medical Chemistry and Biochemistry, Medical University – Sofia, Sofia, 1431, Bulgaria
- Independent Medico-Diagnostic Laboratory Genome Center Bulgaria, Sofia, 1612, Bulgaria
| | - Lili Laleva
- Department of Neurosurgery, Acibadem City Clinic Tokuda University Hospital, Sofia, 1407, Bulgaria
| | - Milko Milev
- Department of Neurosurgery, Acibadem City Clinic Tokuda University Hospital, Sofia, 1407, Bulgaria
| | - Toma Spiriev
- Department of Neurosurgery, Acibadem City Clinic Tokuda University Hospital, Sofia, 1407, Bulgaria
| | - Stoycho Stoyanov
- Department of Neurosurgery, Acibadem City Clinic Tokuda University Hospital, Sofia, 1407, Bulgaria
| | - Dilyan Ferdinandov
- Department of Neurosurgery, Medical University – Sofia, Sofia, 1431, Bulgaria
| | - Vanyo Mitev
- Department of Medical Chemistry and Biochemistry, Medical University – Sofia, Sofia, 1431, Bulgaria
| | - Albena Todorova
- Department of Medical Chemistry and Biochemistry, Medical University – Sofia, Sofia, 1431, Bulgaria
- Independent Medico-Diagnostic Laboratory Genome Center Bulgaria, Sofia, 1612, Bulgaria
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Carlos-Escalante JA, Mejía-Pérez SI, Soto-Reyes E, Guerra-Calderas L, Cacho-Díaz B, Torres-Arciga K, Montalvo-Casimiro M, González-Barrios R, Reynoso-Noverón N, Ruiz-de la Cruz M, Díaz-Velásquez CE, Vidal-Millán S, Álvarez-Gómez RM, Sánchez-Correa TE, Pech-Cervantes CH, Soria-Lucio JA, Pérez-Castillo A, Salazar AM, Arriaga-Canon C, Vaca-Paniagua F, González-Arenas A, Ostrosky-Wegman P, Mohar-Betancourt A, Herrera LA, Corona T, Wegman-Ostrosky T. Deep DNA sequencing of MGMT, TP53 and AGT in Mexican astrocytoma patients identifies an excess of genetic variants in women and a predictive biomarker. J Neurooncol 2023; 161:165-174. [PMID: 36525166 DOI: 10.1007/s11060-022-04214-1] [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: 10/30/2022] [Accepted: 12/07/2022] [Indexed: 12/23/2022]
Abstract
PURPOSE Astrocytomas are a type of malignant brain tumor with an unfavorable clinical course. The impact of AGT and MGMT somatic variants in the prognosis of astrocytoma is unknown, and it is controversial for TP53. Moreover, there is a lack of knowledge regarding the molecular characteristics of astrocytomas in Mexican patients. METHODS We studied 48 Mexican patients, men and women, with astrocytoma (discovery cohort). We performed DNA deep sequencing in tumor samples, targeting AGT, MGMT and TP53, and we studied MGMT gene promoter methylation status. Then we compared our findings to a cohort which included data from patients with astrocytoma from The Cancer Genome Atlas (validation cohort). RESULTS In the discovery cohort, we found a higher number of somatic variants in AGT and MGMT than in the validation cohort (10.4% vs < 1%, p < 0.001), and, in both cohorts, we observed only women carried variants AGT variants. We also found that the presence of either MGMT variant or promoter methylation was associated to better survival and response to chemotherapy, and, in conjunction with TP53 variants, to progression-free survival. CONCLUSIONS The occurrence of AGT variants only in women expands our knowledge about the molecular differences in astrocytoma between men and women. The increased prevalence of AGT and MGMT variants in the discovery cohort also points towards possible distinctions in the molecular landscape of astrocytoma among populations. Our findings warrant further study.
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Affiliation(s)
| | - Sonia Iliana Mejía-Pérez
- Departamento de Enseñanza, Instituto Nacional de Neurología y Neurocirugía "Manuel Velasco Suárez", 14269, Mexico City, Mexico
| | - Ernesto Soto-Reyes
- Departamento de Ciencias Naturales, Universidad Autónoma Metropolitana-Cuajimalpa, 05370, Mexico City, Mexico
| | - Lissania Guerra-Calderas
- Departamento de Ciencias Naturales, Universidad Autónoma Metropolitana-Cuajimalpa, 05370, Mexico City, Mexico
| | - Bernardo Cacho-Díaz
- Unidad de Neuro-Oncología, Instituto Nacional de Cancerología, 14080, Mexico City, Mexico
| | - Karla Torres-Arciga
- Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología-Instituto de Investigaciones Biomédicas, UNAM, 14080, Mexico City, Mexico
| | - Michel Montalvo-Casimiro
- Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología-Instituto de Investigaciones Biomédicas, UNAM, 14080, Mexico City, Mexico
| | - Rodrigo González-Barrios
- Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología-Instituto de Investigaciones Biomédicas, UNAM, 14080, Mexico City, Mexico
| | - Nancy Reynoso-Noverón
- Dirección de Investigación, Instituto Nacional de Cancerología, 14080, Mexico City, Mexico
| | - Miguel Ruiz-de la Cruz
- Unidad de Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, 54090, Tlalnepantla, Mexico
- Departamento de Infectómica y Patogénsis Molecular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), 07360, Mexico City, Mexico
| | - Clara Estela Díaz-Velásquez
- Unidad de Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, 54090, Tlalnepantla, Mexico
- Laboratorio Nacional en Salud: Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, 54090, Tlalnepantla, Mexico
| | - Silvia Vidal-Millán
- Clínica de Cáncer Hereditario, Instituto Nacional de Cancerología, 14080, Mexico City, Mexico
| | | | - Thalía Estefanía Sánchez-Correa
- Departamento de Neurocirugía, Instituto Nacional de Neurología y Neurocirugía "Manuel Velasco Suarez", 14269, Mexico City, Mexico
| | - Claudio Hiram Pech-Cervantes
- Departamento de Neurocirugía, Instituto Nacional de Neurología y Neurocirugía "Manuel Velasco Suarez", 14269, Mexico City, Mexico
| | - José Antonio Soria-Lucio
- Departamento de Traumatología y Ortopedia, Hospital General Regional #2, Instituto Mexicano del Seguro Social, 14310, Mexico City, Mexico
| | - Areli Pérez-Castillo
- Departamento de Cirugía, Hospital General Regional #1, Instituto Mexicano del Seguro Social, 61303, Charo, Mexico
| | - Ana María Salazar
- Departamento de Medicina Genómica y Toxicología Ambiental, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Cristian Arriaga-Canon
- Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología-Instituto de Investigaciones Biomédicas, UNAM, 14080, Mexico City, Mexico
| | - Felipe Vaca-Paniagua
- Unidad de Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, 54090, Tlalnepantla, Mexico
- Subdirección de Investigación Básica, Instituto Nacional de Cancerología, 14080, Mexico City, Mexico
- Laboratorio Nacional en Salud: Diagnóstico Molecular y Efecto Ambiental en Enfermedades Crónico-Degenerativas, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, 54090, Tlalnepantla, Mexico
| | - Aliesha González-Arenas
- Departamento de Medicina Genómica y Toxicología Ambiental, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Patricia Ostrosky-Wegman
- Departamento de Medicina Genómica y Toxicología Ambiental, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Alejandro Mohar-Betancourt
- Unidad de Epidemiología e Investigación Biomédica en Cáncer, Instituto de Investigaciones Biomédicas, UNAM-INCAN, 14080, Mexico City, Mexico
| | - Luis A Herrera
- Dirección General, Instituto Nacional de Medicina Genómica (INMEGEN), 14610, Mexico City, Mexico
| | - Teresa Corona
- Laboratorio Clínico de Enfermedades Neurodegenerativas, Instituto Nacional de Neurología y Neurocirugía, "Manuel Velasco Suárez", 14269, Mexico City, Mexico
- División de Estudios de Posgrado, Facultad de Medicina, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Talia Wegman-Ostrosky
- Subdirección de Investigación Básica, Instituto Nacional de Cancerología, 14080, Mexico City, Mexico.
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Association of TP53 rs1042522 C>G Polymorphism with Glioma Risk in Chinese Children. BIOMED RESEARCH INTERNATIONAL 2022; 2022:2712808. [PMID: 35996546 PMCID: PMC9392611 DOI: 10.1155/2022/2712808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 08/03/2022] [Indexed: 11/18/2022]
Abstract
Glioma is the most common intracranial malignancy. TP53 is a crucial tumor suppressor gene that plays an essential regulatory role in cell growth, apoptosis, and DNA repair. The TP53 rs1042522 C>G polymorphism has been reported to be strongly associated with various tumor risks. To assess the TP53 rs1042522 C>G polymorphism with glioma risk in Chinese children, we determined the genotypes of the TP53 rs1042522 C>G polymorphism in 171 glioma patients and 228 cancer-free controls by Taqman assay. We assessed the association of the polymorphism with glioma risk using odds ratio (OR) and 95% confidence interval (CI) generated by logistic regression models. We also performed stratified analyses by age, gender, tumor subtypes, and clinical stages, but no significant association was detected between TP53 rs1042522 C>G polymorphism and childhood glioma risk. These results suggest that the TP53 rs1042522 C>G polymorphism is not associated with glioma risk in Chinese children. Subsequent studies with a larger sample size are needed to validate our results.
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Pan X, Burgman B, Wu E, Huang JH, Sahni N, Stephen Yi S. i-Modern: Integrated multi-omics network model identifies potential therapeutic targets in glioma by deep learning with interpretability. Comput Struct Biotechnol J 2022; 20:3511-3521. [PMID: 35860408 PMCID: PMC9284388 DOI: 10.1016/j.csbj.2022.06.058] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Revised: 06/26/2022] [Accepted: 06/26/2022] [Indexed: 12/13/2022] Open
Abstract
Effective and precise classification of glioma patients for their disease risks is critical to improving early diagnosis and patient survival. In the recent past, a significant amount of multi-omics data derived from cancer patients has emerged. However, a robust framework for integrating multi-omics data types to efficiently and precisely subgroup glioma patients and predict survival prognosis is still lacking. In addition, effective therapeutic targets for treating glioma patients with poor prognoses are in dire need. To begin to resolve this difficulty, we developed i-Modern, an integrated Multi-omics deep learning network method, and optimized a sophisticated computational model in gliomas that can accurately stratify patients based on their prognosis. We built a survival-associated predictive framework integrating transcription profile, miRNA expression, somatic mutations, copy number variation (CNV), DNA methylation, and protein expression. This framework achieved promising performance in distinguishing high-risk glioma patients from those with good prognoses. Furthermore, we constructed multiple fully connected neural networks that are trained on prioritized multi-omics signatures or even only potential single-omics signatures, based on our customized scoring system. Together, the landmark multi-omics signatures we identified may serve as potential therapeutic targets in gliomas.
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Affiliation(s)
- Xingxin Pan
- Department of Oncology, Livestrong Cancer Institutes, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA
| | - Brandon Burgman
- Department of Oncology, Livestrong Cancer Institutes, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA.,Interdisciplinary Life Sciences Graduate Programs (ILSGP), College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA
| | - Erxi Wu
- Department of Oncology, Livestrong Cancer Institutes, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA.,Neuroscience Institute and Department of Neurosurgery, Baylor Scott & White Health, Temple, TX 76502, USA.,Department of Surgery, Texas A & M University Health Science Center, College of Medicine, Temple, TX 76508, USA.,Department of Pharmaceutical Sciences, Texas A & M University Health Science Center, College of Pharmacy, College Station, TX 77843, USA
| | - Jason H Huang
- Neuroscience Institute and Department of Neurosurgery, Baylor Scott & White Health, Temple, TX 76502, USA.,Department of Surgery, Texas A & M University Health Science Center, College of Medicine, Temple, TX 76508, USA
| | - Nidhi Sahni
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX 77230, USA.,Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.,Quantitative and Computational Biosciences Program, Baylor College of Medicine, Houston, TX 77030, USA
| | - S Stephen Yi
- Department of Oncology, Livestrong Cancer Institutes, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA.,Department of Surgery, Texas A & M University Health Science Center, College of Medicine, Temple, TX 76508, USA.,Oden Institute for Computational Engineering and Sciences (ICES), The University of Texas at Austin, Austin, TX 78712, USA.,Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA
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5
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Brat DJ, Aldape K, Bridge JA, Canoll P, Colman H, Hameed MR, Harris BT, Hattab EM, Huse JT, Jenkins RB, Lopez-Terrada DH, McDonald WC, Rodriguez FJ, Souter LH, Colasacco C, Thomas NE, Yount MH, van den Bent MJ, Perry A. Molecular Biomarker Testing for the Diagnosis of Diffuse Gliomas. Arch Pathol Lab Med 2022; 146:547-574. [PMID: 35175291 PMCID: PMC9311267 DOI: 10.5858/arpa.2021-0295-cp] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/19/2021] [Indexed: 11/06/2022]
Abstract
CONTEXT.— The diagnosis and clinical management of patients with diffuse gliomas (DGs) have evolved rapidly over the past decade with the emergence of molecular biomarkers that are used to classify, stratify risk, and predict treatment response for optimal clinical care. OBJECTIVE.— To develop evidence-based recommendations for informing molecular biomarker testing for pediatric and adult patients with DGs and provide guidance for appropriate laboratory test and biomarker selection for optimal diagnosis, risk stratification, and prediction. DESIGN.— The College of American Pathologists convened an expert panel to perform a systematic review of the literature and develop recommendations. A systematic review of literature was conducted to address the overarching question, "What ancillary tests are needed to classify DGs and sufficiently inform the clinical management of patients?" Recommendations were derived from quality of evidence, open comment feedback, and expert panel consensus. RESULTS.— Thirteen recommendations and 3 good practice statements were established to guide pathologists and treating physicians on the most appropriate methods and molecular biomarkers to include in laboratory testing to inform clinical management of patients with DGs. CONCLUSIONS.— Evidence-based incorporation of laboratory results from molecular biomarker testing into integrated diagnoses of DGs provides reproducible and clinically meaningful information for patient management.
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Affiliation(s)
- Daniel J. Brat
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Kenneth Aldape
- Laboratory of Pathology, National Cancer Institute, Bethesda, MD
| | - Julia A. Bridge
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE; Cytogenetics, ProPath, Dallas, TX
| | - Peter Canoll
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY
| | - Howard Colman
- Department of Neurosurgery and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Meera R. Hameed
- Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, NY
| | - Brent T. Harris
- Department of Neurology and Pathology, MedStar Georgetown University Hospital, Washington, DC
| | - Eyas M. Hattab
- Department of Pathology and Laboratory Medicine, University of Louisville, Louisville, KY
| | - Jason T. Huse
- Departments of Pathology and Translational Molecular Pathology, University of Texas MD, Anderson Cancer Center, Houston, TX
| | - Robert B. Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Dolores H. Lopez-Terrada
- Departments of Pathology and Pediatrics, Baylor College of Medicine and Texas Children’s Hospital, Houston, TX
| | | | | | | | | | | | | | - Martin J. van den Bent
- Brain Tumor Center at Erasmus MC Cancer Institute University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Arie Perry
- Departments of Pathology and Neurological Surgery University of California San Francisco School of Medicine, San Francisco, CA
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Ali SM, Adnan Y, Ahmad Z, Farooqui HA, Chawla T, Ali SMA. Genetic landscape of pancreatic adenocarcinoma patients: a pilot study from Pakistan. Mol Biol Rep 2022; 49:1341-1350. [PMID: 34812998 DOI: 10.1007/s11033-021-06964-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: 10/12/2021] [Accepted: 11/16/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND Pancreatic adenocarcinoma is one of the most aggressive malignancies with extremely low survival rate. Studies have shown that the exploration of key genes can provide a basis for targeted treatment of these patients. The genomic architecture of the Pakistani pancreatic adenocarcinoma patients remains unexplored. Keeping the scenario in place, the current study aims to analyse 88 cancer related genes in Pakistani pancreatic adenocarcinoma patients in order to elucidate candidate gene(s) for targeted molecular therapy. METHODS AND RESULTS A total 18 patients were included in the study initially and FFPE tumor samples were obtained. After confirmation of diagnosis and appropriate tumor content, DNA was extracted. Based on the quality and quantity of the extracted DNA, six pancreatic adenocarcinoma tumor samples were selected. Following to this, all the samples were subjected to targeted sequencing (Axen Cancer Panel 1). Variant detection was done and clinical significance of identified variants was assessed using ClinVar database. Targeted sequencing of tumor samples revealed a total of 29 alterations in the coding region of various genes. Among these five pathogenic variants were found in KRAS, BRCA1, TP53 and APC genes. CONCLUSION This is the first study that explores genes involved in pancreatic adenocarcinoma from the Pakistani population. Results obtained from the pilot study can guide us about the key genetic players in the Pakistani pancreatic adenocarcinoma population. This can lead to our better understanding of the molecular targeted therapies for these patients and designing future researches on larger sample size.
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Affiliation(s)
| | - Yumna Adnan
- Aga Khan University Hospital, Karachi, Pakistan
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Anand N, Husain N, Varshney R, Malhotra KP, Kaif M. Molecular classification and stratification of adult diffuse gliomas: A tertiary care center study. J Carcinog 2021; 20:20. [PMID: 34729052 PMCID: PMC8531577 DOI: 10.4103/jcar.jcar_17_21] [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: 05/27/2021] [Revised: 06/23/2021] [Accepted: 06/28/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND: Diffuse gliomas in the adult population are the most common primary central nervous system (CNS) tumors. The World Health Organization incorporated isocitrate dehydrogenase (IDH) mutations and 1p/19q co-deletion with histopathological features into an “integrated diagnosis” in the revised classification of tumors of CNS. These molecular subgroups of diffuse gliomas are found to stratify patients into prognostically distinct groups better than the histological classification. The objectives of the current study were to assess the frequency of IDH mutation, ATRX expression loss, p53 overexpression, and 1p/19q co-deletion detection in adult diffuse gliomas (Grade II, III, and IV) and to correlate them with clinicopathological and histopathological features. MATERIALS AND METHODS: The current study was a tertiary care hospital-based retrospective case series of 112 cases of adult diffuse gliomas. Immunohistochemistry (IHC)-based molecular detection was performed for IDH-1, ATRX, and p53 and fluorescent in situ hybridization (FISH) was performed for 1p/19q co-deletion detection. RESULTS: IDH-1 mutation was present in 30.4% (n = 34/112) cases, ATRX expression was lost in 18% (n = 19/104) cases, p53 was mutated in 39.3% (n = 42/107) cases and 1p19q was co-deleted in 25% (n = 4/16) cases. In the IDH1 mutant cases, with retained ATRX, FISH for 1p/19q co-deletion was performed and was co-deleted in four cases. CONCLUSION: The results of the present study indicate that IHC including IDH1/2, ATRX, and p53 is useful for the molecular classification of diffuse gliomas, which could be useful for the evaluation of prognosis, especially Grade III and II. Although the immunohistochemical approach does not replace genetic testing completely, it is a practical and powerful means of assessing molecular genetic changes. IDH mutations are the established markers of better prognosis in diffuse gliomas.
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Affiliation(s)
- Nidhi Anand
- Department of Pathology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
| | - Nuzhat Husain
- Department of Pathology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
| | - Renu Varshney
- Department of Pathology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
| | - Kiran Preet Malhotra
- Department of Pathology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
| | - Mohammad Kaif
- Department of Neurosurgery, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
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Digoxin exerts anticancer activity on human nonsmall cell lung cancer cells by blocking PI3K/Akt pathway. Biosci Rep 2021; 41:229832. [PMID: 34549269 PMCID: PMC8495431 DOI: 10.1042/bsr20211056] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Revised: 09/16/2021] [Accepted: 09/20/2021] [Indexed: 01/03/2023] Open
Abstract
Lung cancer remains the leading cause of cancer mortality because of its metastatic potential and high malignancy. The discovery of new applications for old drugs is a shortcut for cancer therapy. We recently investigated the antitumor effect of digoxin, a well-established drug for treating heart failure, against nonsmall cell lung cancer A549 and H1299 cells. Digoxin inhibited the proliferation and colony-forming ability of the two cell lines and arrested the cell cycle at the G0/G1 phase in A549 cells and the G2/M phase in H1299 cells. Mitochondria-mediated apoptosis was induced in A549 cells but not in H1299 cells after treatment with digoxin. Moreover, digoxin inhibited the migration, invasion, adhesion and epithelial–mesenchymal transition of A549 and H1299 cells. Autophagy was induced in both cell lines after treatment with digoxin, with an increase in autophagosome foci. In addition, digoxin inhibited the phosphorylation of Akt, mTOR and p70S6K, signaling molecules of the PI3K/Akt pathway that are known to be involved in tumor cell survival, proliferation, metastasis and autophagy. Our findings suggest that digoxin has the potential to be used for therapy for human nonsmall cell lung cancer, but further evidence is required.
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9
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Noor H, Briggs NE, McDonald KL, Holst J, Vittorio O. TP53 Mutation Is a Prognostic Factor in Lower Grade Glioma and May Influence Chemotherapy Efficacy. Cancers (Basel) 2021; 13:5362. [PMID: 34771529 PMCID: PMC8582451 DOI: 10.3390/cancers13215362] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 10/17/2021] [Accepted: 10/22/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Identification of prognostic biomarkers in cancers is a crucial step to improve overall survival (OS). Although mutations in tumour protein 53 (TP53) is prevalent in astrocytoma, the prognostic effects of TP53 mutation are unclear. METHODS In this retrospective study, we sequenced TP53 exons 1 to 10 in a cohort of 102 lower-grade glioma (LGG) subtypes and determined the prognostic effects of TP53 mutation in astrocytoma and oligodendroglioma. Publicly available datasets were analysed to confirm the findings. RESULTS In astrocytoma, mutations in TP53 codon 273 were associated with a significantly increased OS compared to the TP53 wild-type (HR (95% CI): 0.169 (0.036-0.766), p = 0.021). Public datasets confirmed these findings. TP53 codon 273 mutant astrocytomas were significantly more chemosensitive than TP53 wild-type astrocytomas (HR (95% CI): 0.344 (0.13-0.88), p = 0.0148). Post-chemotherapy, a significant correlation between TP53 and YAP1 mRNA was found (p = 0.01). In O (6)-methylguanine methyltransferase (MGMT) unmethylated chemotherapy-treated astrocytoma, both TP53 codon 273 and YAP1 mRNA were significant prognostic markers. In oligodendroglioma, TP53 mutations were associated with significantly decreased OS. CONCLUSIONS Based on these findings, we propose that certain TP53 mutant astrocytomas are chemosensitive through the involvement of YAP1, and we outline a potential mechanism. Thus, TP53 mutations may be key drivers of astrocytoma therapeutic efficacy and influence survival outcomes.
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Affiliation(s)
- Humaira Noor
- Cure Brain Cancer Biomarkers and Translational Research Group, Prince of Wales Clinical School, University of New South Wales, Sydney, NSW 2031, Australia;
- Adult Cancer Program, Lowy Cancer Research Centre, UNSW Sydney, Randwick, NSW 2031, Australia;
| | - Nancy E. Briggs
- Stats Central, Mark Wainwright Analytical Centre, University of New South Wales, Sydney, NSW 2031, Australia;
| | - Kerrie L. McDonald
- Cure Brain Cancer Biomarkers and Translational Research Group, Prince of Wales Clinical School, University of New South Wales, Sydney, NSW 2031, Australia;
- Adult Cancer Program, Lowy Cancer Research Centre, UNSW Sydney, Randwick, NSW 2031, Australia;
| | - Jeff Holst
- Adult Cancer Program, Lowy Cancer Research Centre, UNSW Sydney, Randwick, NSW 2031, Australia;
- Translational Cancer Metabolism Laboratory, School of Medical Sciences, Prince of Wales Clinical School, UNSW Sydney, Sydney, NSW 2031, Australia
| | - Orazio Vittorio
- School of Women’s & Children’s Health, UNSW Medicine, University of NSW, Randwick, NSW 2031, Australia;
- Children’s Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Randwick, NSW 2031, Australia
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10
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Kim SI, Lee K, Bae J, Lee S, Yun H, Park CK, Choi SH, Maquiling CA, Park SH, Won JK. Revisiting vimentin: a negative surrogate marker of molecularly defined oligodendroglioma in adult type diffuse glioma. Brain Tumor Pathol 2021; 38:271-282. [PMID: 34338912 DOI: 10.1007/s10014-021-00411-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 07/15/2021] [Indexed: 02/04/2023]
Abstract
Vimentin is a marker of epithelial-mesenchymal transformation and indicates poor prognosis in various cancers, but its role in diffuse gliomas remains unknown. We investigated the vimentin expression of diffuse gliomas according to the upcoming 2021 WHO classification, its variations due to mutational status, and its prognostic effects. We analyzed vimentin immunohistochemistry in 315 gliomas: a test set (n = 164) and a validation set (n = 151). RNA-seq and mutational information from The Cancer Genome Atlas (TCGA, n = 422) were also used for validation. Vimentin was diffusely positive in astrocytic tumors but negative in oligodendroglial tumors (ODGs) and its expression was significantly higher in isocitrate dehydrogenase (IDH) wild-type tumors. High vimentin expression was correlated with poor prognosis (hazard ratio [HR]: 5.99), but it was dependent on the new WHO grade which reflects both histologic features and genetics (HR: 1.28). Using the significant difference in vimentin expression between ODGs and astrocytic tumors, the positive and negative predictive values of the vimentin-based diagnosis for ODGs were 93.5% and 97.8% in the validation set. Along with additional alpha-thalassemia/mental retardation, X-linked (ATRX) immunohistostaining, the values were 98.3% and 97.8%, respectively. Vimentin is a useful ancillary marker for identifying ODGs when combined with routine histochemistry markers.
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Affiliation(s)
- Seong-Ik Kim
- Department of Pathology, Seoul National University Hospital, College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 110-799, South Korea
| | - Kwanghoon Lee
- Department of Pathology, Seoul National University Hospital, College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 110-799, South Korea
| | - Jeongmo Bae
- Department of Pathology, Seoul National University Hospital, College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 110-799, South Korea
| | - Sungyoung Lee
- Center for Precision Medicine, Seoul National University Hospital, Seoul, 03080, South Korea
| | - Hongseok Yun
- Center for Precision Medicine, Seoul National University Hospital, Seoul, 03080, South Korea
| | - Chul-Kee Park
- Department of Neurosurgery, Seoul National University Hospital, College of Medicine, Seoul, 03080, South Korea
| | - Seung Hong Choi
- Department of Radiology, Seoul National University Hospital, College of Medicine, Seoul, 03080, South Korea
| | - Christopher Alec Maquiling
- Department of Pathology, Seoul National University Hospital, College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 110-799, South Korea
| | - Sung-Hye Park
- Department of Pathology, Seoul National University Hospital, College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 110-799, South Korea.,Neuroscience Institute, Seoul National University College of Medicine, Seoul, 03080, South Korea
| | - Jae-Kyung Won
- Department of Pathology, Seoul National University Hospital, College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 110-799, South Korea.
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11
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An update on the central nervous system manifestations of Li-Fraumeni syndrome. Acta Neuropathol 2020; 139:669-687. [PMID: 31468188 DOI: 10.1007/s00401-019-02055-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 08/01/2019] [Accepted: 08/02/2019] [Indexed: 12/19/2022]
Abstract
Li-Fraumeni syndrome (LFS), caused by the germline mutations in the TP53 gene, leads to significant lifetime risk to cancer in the central nervous system. Recognition of LFS, and elucidating its underlying cause has had a remarkable effect on our knowledge of the biology of brain tumors and represents a significant opportunity for cancer surveillance and screening. In this review, we discuss the historical context of the LFS with an emphasis on the clinicopathologic implications in clincal diagnosis, germline testing, and clinical management of brain tumor patients.
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12
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Cantero D, Mollejo M, Sepúlveda JM, D'Haene N, Gutiérrez-Guamán MJ, Rodríguez de Lope Á, Fiaño C, Castresana JS, Lebrun L, Rey JA, Salmon I, Meléndez B, Hernández-Laín A. TP53, ATRX alterations, and low tumor mutation load feature IDH-wildtype giant cell glioblastoma despite exceptional ultra-mutated tumors. Neurooncol Adv 2020; 2:vdz059. [PMID: 32642724 PMCID: PMC7212869 DOI: 10.1093/noajnl/vdz059] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Background Giant cell glioblastoma (gcGBM) is a rare morphological variant of IDH-wildtype (IDHwt) GBM that occurs in young adults and have a slightly better prognosis than "classic" IDHwt GBM. Methods We studied 36 GBMs, 14 with a histopathological diagnosis of gcGBM and 22 with a giant cell component. We analyzed the genetic profile of the most frequently mutated genes in gliomas and assessed the tumor mutation load (TML) by gene-targeted next-generation sequencing. We validated our findings using The Cancer Genome Atlas (TCGA) data. Results p53 was altered by gene mutation or protein overexpression in all cases, while driver IDH1, IDH2, BRAF, or H3F3A mutations were infrequent or absent. Compared to IDHwt GBMs, gcGBMs had a significant higher frequency of TP53, ATRX, RB1, and NF1 mutations, while lower frequency of EGFR amplification, CDKN2A deletion, and TERT promoter mutation. Almost all tumors had low TML values. The high TML observed in only 2 tumors was consistent with POLE and MSH2 mutations. In the histopathological review of TCGA IDHwt, TP53-mutant tumors identified giant cells in 37% of the cases. Considering our series and that of the TCGA, patients with TP53-mutant gcGBMs had better overall survival than those with TP53wt GBMs (log-rank test, P < .002). Conclusions gcGBMs have molecular features that contrast to "classic" IDHwt GBMs: unusually frequent ATRX mutations and few EGFR amplifications and CDKN2A deletions, especially in tumors with a high number of giant cells. TML is frequently low, although exceptional high TML suggests a potential for immune checkpoint therapy in some cases, which may be relevant for personalized medicine.
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Affiliation(s)
- Diana Cantero
- Department of Pathology (Neuropathology) and Instituto de Investigación i+12, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Manuela Mollejo
- Department of Pathology, Virgen de la Salud Hospital, Toledo, Spain
| | - Juan M Sepúlveda
- Department of Medical Oncology, University Hospital 12 de Octubre, Madrid, Spain
| | - Nicky D'Haene
- Department of Pathology, Erasme Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Myriam J Gutiérrez-Guamán
- Department of Pathology (Neuropathology) and Instituto de Investigación i+12, Hospital Universitario 12 de Octubre, Madrid, Spain
| | | | | | - Javier S Castresana
- Department of Biochemistry and Genetics, University of Navarra School of Sciences, Pamplona, Spain
| | - Laetitia Lebrun
- Department of Pathology, Erasme Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Juan A Rey
- IdiPaz Research Unit, La Paz University Hospital, Madrid, Spain
| | - Isabelle Salmon
- Department of Pathology, Erasme Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Bárbara Meléndez
- Department of Pathology, Virgen de la Salud Hospital, Toledo, Spain.,Department of Pathology, Erasme Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Aurelio Hernández-Laín
- Department of Pathology (Neuropathology) and Instituto de Investigación i+12, Hospital Universitario 12 de Octubre, Madrid, Spain
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13
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Ji MS, Eldred BSC, Liu R, Pianka ST, Molaie D, Kevan B, Pan S, Lai TJ, Nguyen NT, Chow FE, Yong WH, Cox CD, Reeh DN, Li T, Liau LM, Nghiemphu PL, Cloughesy TF, Li G, Lai A. Targeted next-generation sequencing of 565 neuro-oncology patients at UCLA: A single-institution experience. Neurooncol Adv 2020; 2:vdaa009. [PMID: 32118206 PMCID: PMC7034640 DOI: 10.1093/noajnl/vdaa009] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Targeted next-generation sequencing (NGS) is frequently obtained at the University of California, Los Angeles (UCLA) for clinical characterization of CNS tumors. In this study, we describe the diagnostic reliability of the Foundation Medicine (FM) targeted NGS platform and its ability to explore and identify tumor characteristics of prognostic significance in gliomas. METHODS Neuro-oncology patients seen at UCLA who have received FM testing between August 2012 and March 2019 were included in this study, and all mutations from FM test reports were recorded. Initial tumor diagnoses and diagnostic markers found via standard clinical methods were obtained from pathology reports. With overall and progression-free survival data, elastic net regularized Cox regression and Cox proportional hazards models were used to determine whether any mutations of unknown significance detected by FM could predict patient outcome in glioblastoma (GBM). RESULTS Six hundred and three samples tested by FM from 565 distinct patients were identified. Concordance of diagnostic markers was high between standard clinical testing methods and FM. Oligodendroglial markers detected via FM were highly correlated with 1p19q codeletion in IDH mutated gliomas. FM testing of multiple tumor samples from the same patient demonstrated temporal and spatial mutational heterogeneity. Mutations in BCORL1, ERBB4, and PALB2, which are mutations of unknown significance in GBM, were shown to be statistically significant in predicting patient outcome. CONCLUSIONS In our large cohort, we found that targeted NGS can both reliably and efficiently detect important diagnostic markers in CNS tumors.
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Affiliation(s)
- Matthew S Ji
- UCLA Department of Neurology, Los Angeles, California
| | | | - Regina Liu
- UCLA Department of Neurology, Los Angeles, California
| | - Sean T Pianka
- UCLA Department of Neurology, Los Angeles, California
| | - Donna Molaie
- UCLA Department of Neurology, Los Angeles, California
| | - Bryan Kevan
- UCLA Department of Biostatistics, Los Angeles, California
| | - Stephanie Pan
- UCLA Department of Neurology, Los Angeles, California
| | - Thomas J Lai
- UCLA Department of Neurology, Los Angeles, California
| | | | | | | | | | - Devin N Reeh
- UCLA Department of Mathematics, Los Angeles, California
| | - Tie Li
- UCLA Department of Neurology, Los Angeles, California
| | - Linda M Liau
- UCLA Department of Neurosurgery, Los Angeles, California
| | | | | | - Gang Li
- UCLA Department of Biostatistics, Los Angeles, California
| | - Albert Lai
- UCLA Department of Neurology, Los Angeles, California
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14
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Yang RR, Shi ZF, Zhang ZY, Chan AKY, Aibaidula A, Wang WW, Kwan JSH, Poon WS, Chen H, Li WC, Chung NYF, Punchhi G, Chu WCY, Chan ISH, Liu XZ, Mao Y, Li KKW, Ng HK. IDH mutant lower grade (WHO Grades II/III) astrocytomas can be stratified for risk by CDKN2A, CDK4 and PDGFRA copy number alterations. Brain Pathol 2019; 30:541-553. [PMID: 31733156 DOI: 10.1111/bpa.12801] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Accepted: 10/29/2019] [Indexed: 12/31/2022] Open
Abstract
In the 2016, WHO classification of tumors of the central nervous system, isocitrate dehydrogenase (IDH) mutation is a main classifier for lower grade astrocytomas and IDH-mutated astrocytomas is now regarded as a single group with longer survival. However, the molecular and clinical heterogeneity among IDH mutant lower grade (WHO Grades II/III) astrocytomas have only rarely been investigated. In this study, we recruited 160 IDH mutant lower grade (WHO Grades II/III) astrocytomas, and examined PDGFRA amplification, CDKN2A deletion and CDK4 amplification by FISH analysis, TERT promoter mutation by Sanger sequencing and ATRX loss and p53 expression by immunohistochemistry. We identified PDGFRA amplification, CDKN2A homozygous deletion and CDK4 amplification in 18.8%, 15.0% and 18.1% of our cohort respectively, and these alterations occurred in a mutually exclusive fashion. PDGFRA amplification was associated with shorter PFS (P = 0.0003) and OS (P < 0.0001). In tumors without PDGFRA amplification, CDKN2A homozygous deletion or CDK4 amplification was associated with a shorter OS (P = 0.035). Tumors were divided into three risk groups based on the presence of molecular alterations: high risk (PDGFRA amplification), intermediate risk (CDKN2A deletion or CDK4 amplification) and low risk (neither CDKN2A deletion and CDK4 amplification nor PDGFRA amplification). These three risk groups were significantly different in overall survival with mean survivals of 40.5, 62.9 and 71.5 months. The high-risk group also demonstrated a shorter PFS compared to intermediate- (P = 0.036) and low-risk (P < 0.0001) groups. One limitation of this study is the relatively short follow-up period, a common confounding factor for studies on low-grade tumors. Our data illustrate that IDH mutant lower grade astrocytomas is not a homogeneous group and should be molecularly stratified for risk.
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Affiliation(s)
- Rui Ryan Yang
- Department of Neurosurgery, Guangzhou Women and Children's Medical Center, Guangzhou, China.,Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, China SAR
| | - Zhi-Feng Shi
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhen-Yu Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Aden Ka-Yin Chan
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, China SAR
| | | | - Wei-Wei Wang
- Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Johnny Sheung Him Kwan
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, China SAR
| | - Wai Sang Poon
- Department of Neurosurgery, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, China SAR
| | - Hong Chen
- Department of Pathology, Huashan Hospital, Fudan University, Shanghai, China
| | - Wen-Cai Li
- Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Nellie Yuk-Fei Chung
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, China SAR
| | - Gopika Punchhi
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, China SAR
| | - William Ching-Yuen Chu
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, China SAR
| | - Ivan Sik-Hei Chan
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, China SAR
| | - Xian-Zhi Liu
- Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Kay Ka-Wai Li
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, China SAR
| | - Ho-Keung Ng
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, China SAR
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15
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The predictive capability of immunohistochemistry and DNA sequencing for determining TP53 functional mutation status: a comparative study of 41 glioblastoma patients. Oncotarget 2019; 10:6204-6218. [PMID: 31692772 PMCID: PMC6817445 DOI: 10.18632/oncotarget.27252] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2019] [Accepted: 09/10/2019] [Indexed: 02/02/2023] Open
Abstract
Tumor protein 53 (p53) regulates fundamental pathways of cellular growth and differentiation. Aberrant p53 expression in glioblastoma multiforme, a terminal brain cancer, has been associated with worse patient outcomes and decreased chemosensitivity. Therefore, correctly identifying p53 status in glioblastoma is of great clinical significance. p53 immunohistochemistry is used to detect pathological presence of the TP53 gene product. Here, we examined the relationship between p53 immunoreactivity and TP53 mutation status by DNA Sanger sequencing in adult glioblastoma. Of 41 histologically confirmed samples, 27 (66%) were immunopositive for a p53 mutation via immunohistochemistry. Utilizing gene sequencing, we identified only eight samples (20%) with TP53 functional mutations and one sample with a silent mutation. Therefore, a ≥10% p53 immunohistochemistry threshold for predicting TP53 functional mutation status in glioma is insufficient. Implementing this ≥10% threshold, we demonstrated a remarkably low positive-predictive value (30%). Furthermore, the sensitivity and specificity with ≥10% p53 immunohistochemistry to predict TP53 functional mutation status were 100% and 42%, respectively. Our data suggests that unless reliable sequencing methodology is available for confirming TP53 status, raising the immunoreactivity threshold would increase positive and negative predictive values as well as the specificity without changing the sensitivity of the immunohistochemistry assay.
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16
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Detection and Correlation of Single and Concomitant TP53, PTEN, and CDKN2A Alterations in Gliomas. Int J Mol Sci 2019; 20:ijms20112658. [PMID: 31151164 PMCID: PMC6600458 DOI: 10.3390/ijms20112658] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Revised: 04/28/2019] [Accepted: 04/30/2019] [Indexed: 12/16/2022] Open
Abstract
Gliomas are the most frequent primary tumors of central nervous system and represent a heterogeneous group of tumors that originates from the glial cells. TP53, PTEN, and CDKN2A are important tumor suppressor genes that encode proteins involved in sustaining cellular homeostasis by different signaling pathways. Though genetic alterations in these genes play a significant role in tumorigenesis, few studies are available regarding the incidence and relation of concomitant TP53, PTEN, and CDKN2A alterations in gliomas. The purpose of this study was to evaluate the occurrence of mutation and deletion in these genes, through single-strand conformational polymorphism, array-comparative genomic hybridization, and fluorescence in situ hybridization techniques, in 69 gliomas samples. Molecular results demonstrated a significant higher prevalence of TP53, PTEN, and CDKN2A alterations in astrocytoma than other tumor subtypes, and heterozygous deletion was the most frequent event. In addition, a significant association was observed between TP53 and CDKN2A alterations (p = 0.0424), which tend to coexist in low grade astrocytomas (5/46 cases (10.9%)), suggesting that they are early events in development of these tumors, and PTEN and CDKN2A deletions (p = 0.0022), which occurred concomitantly in 9/50 (18%) patients, with CDKN2A changes preceding PTEN deletions, present preferably in high-grade gliomas.
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17
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Chen H, Huang H, Zhao J, Wang Z, Chang M, Xue L, Zhu W, Chai Y, Li G, Wang Z, Wu H. Age-dependent copy number variations of TP53 tumour suppressor gene associated with altered phosphorylation status of p53 protein in sporadic schwannomas. J Neurooncol 2019; 143:369-379. [PMID: 31049827 DOI: 10.1007/s11060-019-03176-1] [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: 02/23/2019] [Accepted: 04/25/2019] [Indexed: 10/26/2022]
Abstract
PURPOSE Point mutations of TP53 tumour suppressor are very rare in schwannomas. We aim to characterize the frequency of exonic copy-number changes of the gene in the tumour and to examine the association between TP53 alterations, phosphorylation status of p53 protein and clinical phenotypes. METHODS The alterations of TP53 were screened by a combination of Sanger sequencing and multiplex ligation-dependent probe amplification (MLPA) in a total of 44 vestibular schwannomas. The mutation index (MI) in a tumour was defined as the number of exons mutated/ the number of exons tested. Phosphorylation status of p53 protein was investigated by immunoblotting and immunofluorescence. RESULTS MLPA analysis showed single and multi-exon deletion mutations of TP53 in 65.7% of the cases. Comparisons of clinical features between mutated and non-mutated patients established an association of TP53 mutations with progressive phenotypes, including an earlier formation and a larger tumour. In addition, there were significant correlations between MI and both patients' age and tumour size. The Ser 392 phosphorylation level of p53 varied among tumours, and correlation analysis revealed an age-dependent phosphorylation pattern. The majority of tumours with hyperphosphorylated p53 were from mutated and young patients, suggesting an association of Ser392 phosphorylation with the mutational status of TP53 involved in the acceleration of tumour growth in young individuals. Moreover, Ser 392 phosphorylation contributed to a nuclear accumulation of p53 in schwannona cultures with TP53 mutation. CONCLUSIONS An interplay between the mutation status of TP53, phosphorylation patterns and tumour behaviors might be established in the disease.
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Affiliation(s)
- Hongsai Chen
- Department of Otolaryngology Head & Neck Surgery, The Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, No. 639, Zhi-Zao-Ju Road, Shanghai, 200011, China.,Ear Institute, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases, Shanghai, China.,Shanghai Institute of Precision Medicine, The Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - He Huang
- Department of Otolaryngology Head & Neck Surgery, The Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, No. 639, Zhi-Zao-Ju Road, Shanghai, 200011, China.,Ear Institute, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases, Shanghai, China
| | - Jingjing Zhao
- Department of Otolaryngology Head & Neck Surgery, The Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, No. 639, Zhi-Zao-Ju Road, Shanghai, 200011, China.,Ear Institute, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases, Shanghai, China
| | - Zhigang Wang
- Department of Otolaryngology Head & Neck Surgery, The Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, No. 639, Zhi-Zao-Ju Road, Shanghai, 200011, China.,Ear Institute, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases, Shanghai, China
| | - Mengling Chang
- Department of Burn and Plastic Surgery, Shanghai Jiao Tong University, School of Medicine, Rui Jin Hospital, Shanghai, China
| | - Lu Xue
- Department of Otolaryngology Head & Neck Surgery, The Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, No. 639, Zhi-Zao-Ju Road, Shanghai, 200011, China.,Ear Institute, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases, Shanghai, China
| | - Weidong Zhu
- Department of Otolaryngology Head & Neck Surgery, The Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, No. 639, Zhi-Zao-Ju Road, Shanghai, 200011, China.,Ear Institute, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases, Shanghai, China
| | - Yongchuan Chai
- Department of Otolaryngology Head & Neck Surgery, The Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, No. 639, Zhi-Zao-Ju Road, Shanghai, 200011, China.,Ear Institute, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases, Shanghai, China
| | - Gen Li
- Department of Otolaryngology Head & Neck Surgery, The Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, No. 639, Zhi-Zao-Ju Road, Shanghai, 200011, China.,Ear Institute, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases, Shanghai, China
| | - Zhaoyan Wang
- Department of Otolaryngology Head & Neck Surgery, The Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, No. 639, Zhi-Zao-Ju Road, Shanghai, 200011, China. .,Ear Institute, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. .,Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases, Shanghai, China.
| | - Hao Wu
- Department of Otolaryngology Head & Neck Surgery, The Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, No. 639, Zhi-Zao-Ju Road, Shanghai, 200011, China. .,Ear Institute, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. .,Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases, Shanghai, China.
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18
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Li YX, Shi Z, Aibaidula A, Chen H, Tang Q, Li KKW, Chung NYF, Chan DTM, Poon WS, Mao Y, Wu J, Zhou L, Chan AKY, Ng HK. Not all 1p/19q non-codeleted oligodendroglial tumors are astrocytic. Oncotarget 2018; 7:64615-64630. [PMID: 27556304 PMCID: PMC5323103 DOI: 10.18632/oncotarget.11378] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2016] [Accepted: 08/12/2016] [Indexed: 12/21/2022] Open
Abstract
Although 1p/19q codeletion is the genetic hallmark defining oligodendrogliomas, approximately 30-40% of oligodendroglial tumors have intact 1p/19q in the literature and they demonstrate a worse prognosis. This group of 1p/19q intact oligodendroglial tumors is frequently suggested to be astrocytic in nature with TP53 and ATRX mutations but actually remains under-investigated. In the present study, we provided evidence that not all 1p/19q intact oligodendroglial tumors are astrocytic through histologic and molecular approaches. We examined 1p/19q status by FISH in a large cohort of 337 oligodendroglial tumors and identified 39.8% lacking 1p/19q codeletion which was independently associated with poor prognosis. Among this 1p/19q intact oligodendroglial tumor cohort, 58 cases demonstrated classic oligodendroglial histology which showed older patient age, better prognosis, association with grade III histology, PDGFRA expression, TERTp mutation, as well as frequent IDH mutation. More than half of the 1p/19q intact oligodendroglial tumors showed lack of astrocytic defining markers, p53 expression and ATRX loss. TP53 mutational analysis was additionally conducted in 45 cases of the 1p/19q intact oligodendroglial tumors. Wild-type TP53 was detected in 71.1% of cases which was associated with classic oligodendroglial histology. Importantly, IDH and TERTp co-occurred in 75% of 1p/19q intact, TP53 wild-type oligodendrogliomas, highlighting the potential of the co-mutations in assisting diagnosis of oligodendrogliomas in tumors with clear cell morphology and non-codeleted 1p/19q status. In summary, our study demonstrated that not all 1p/19q intact oligodendroglial tumors are astrocytic and co-evaluation of IDH and TERTp mutation could potentially serve as an adjunct for diagnosing 1p/19q intact oligodendrogliomas.
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Affiliation(s)
- Yan-Xi Li
- Department of Anatomical and Cellular Pathology, Chinese University of Hong Kong, Hong Kong, China.,Shenzhen Research Institute, Chinese University of Hong Kong, Hong Kong, China.,Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhifeng Shi
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | | | - Hong Chen
- Department of Neuropathology, Huashan Hospital, Fudan University, Shanghai, China
| | - Qisheng Tang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Kay Ka-Wai Li
- Department of Anatomical and Cellular Pathology, Chinese University of Hong Kong, Hong Kong, China.,Shenzhen Research Institute, Chinese University of Hong Kong, Hong Kong, China
| | - Nellie Yuk-Fei Chung
- Department of Anatomical and Cellular Pathology, Chinese University of Hong Kong, Hong Kong, China.,Shenzhen Research Institute, Chinese University of Hong Kong, Hong Kong, China
| | - Danny Tat-Ming Chan
- Neurosurgery Division, Department of Surgery, Chinese University of Hong Kong, Hong Kong, China
| | - Wai Sang Poon
- Neurosurgery Division, Department of Surgery, Chinese University of Hong Kong, Hong Kong, China
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Jinsong Wu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Liangfu Zhou
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Aden Ka-Yin Chan
- Department of Anatomical and Cellular Pathology, Chinese University of Hong Kong, Hong Kong, China.,Shenzhen Research Institute, Chinese University of Hong Kong, Hong Kong, China
| | - Ho-Keung Ng
- Department of Anatomical and Cellular Pathology, Chinese University of Hong Kong, Hong Kong, China.,Shenzhen Research Institute, Chinese University of Hong Kong, Hong Kong, China
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19
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Faccion RS, Bernardo PS, de Lopes GPF, Bastos LS, Teixeira CL, de Oliveira JA, Fernandes PV, Dubois LG, Chimelli L, Maia RC. p53 expression and subcellular survivin localization improve the diagnosis and prognosis of patients with diffuse astrocytic tumors. Cell Oncol (Dordr) 2018; 41:141-157. [DOI: 10.1007/s13402-017-0361-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/07/2017] [Indexed: 12/12/2022] Open
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20
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Li Y, Qian Z, Xu K, Wang K, Fan X, Li S, Jiang T, Liu X, Wang Y. MRI features predict p53 status in lower-grade gliomas via a machine-learning approach. NEUROIMAGE-CLINICAL 2017. [PMID: 29527478 PMCID: PMC5842645 DOI: 10.1016/j.nicl.2017.10.030] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Background P53 mutation status is a pivotal biomarker for gliomas. Here, we developed a machine-learning model to predict p53 status in lower-grade gliomas based on radiomic features extracted from conventional magnetic resonance (MR) images. Methods Preoperative MR images were retrospectively obtained from 272 patients with primary grade II/III gliomas. The patients were randomly allocated in a 2:1 ratio to a training (n = 180) or validation (n = 92) set. A total of 431 radiomic features were extracted from each patient. The lest absolute shrinkage and selection operator (LASSO) method was used for feature selection and radiomic signature construction. Subsequently, a machine-learning model to predict p53 status was established using the selected features and a Support Vector Machine classifier. The predictive performance of all individual features and the model was calculated using receiver operating characteristic curves in both the training and validation sets. Results The p53-related radiomic signature was built using the LASSO algorithm; this procedure consisted of four first-order statistics or related wavelet features (including Maximum, Median, Minimum, and Uniformity), a shape and size-based feature (Spherical Disproportion), and ten textural features or related wavelet features (including Correlation, Run Percentage, and Sum Entropy). The prediction accuracies based on the area under the curve were 89.6% in the training set and 76.3% in the validation set, which were better than individual features. Conclusions These results demonstrate that MR image texture features are predictive of p53 mutation status in lower-grade gliomas. Thus, our procedure can be conveniently used to facilitate presurgical molecular pathological diagnosis. We established a p53-related radiomic signature in lower-grade gliomas based on LASSO algorithm. We developed a machine-learning model using the radiomic signature and a support vector machine. P53 mutation status of lower-grade gliomas was predicted effectively based on our machine-learning model.
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Affiliation(s)
- Yiming Li
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Zenghui Qian
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Kaibin Xu
- Chinese Academy of Sciences, Institute of Automation, Beijing, China
| | - Kai Wang
- Department of Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xing Fan
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Shaowu Li
- Neurological Imaging Center, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Tao Jiang
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Center of Brain Tumor, Beijing Institute for Brain Disorders, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China.
| | - Xing Liu
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
| | - Yinyan Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
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21
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Jin Y, Xiao W, Song T, Feng G, Dai Z. Expression and Prognostic Significance of p53 in Glioma Patients: A Meta-analysis. Neurochem Res 2016; 41:1723-31. [PMID: 27038932 DOI: 10.1007/s11064-016-1888-y] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2015] [Revised: 01/20/2016] [Accepted: 01/22/2016] [Indexed: 12/19/2022]
Abstract
Glioma is a brain tumor deriving from the neoplastic glial cells or neuroglia. Due to its resistance to anticancer drugs and different disease progress of individuals, patients with high-grade glioma are difficult to completely cure, leading to a poor prognosis and low overall survival. Therefore, there is an urgent need to look for prognostic and diagnostic indicators that can predict glioma grades. P53 is one of the widely studied biomarkers in human glioma. The purpose of this study was to comprehensively evaluate the significance of p53 expression in glioma grades and overall survival. We searched commonly used electronic databases to retrieve related articles of p53 expression in glioma. Overall, a total of 21 studies including 1322 glioma patients were finally screened out. We observed that the frequency of p53 immuno-positivity was higher in high-grade patients than that in low-grade category (63.8 vs. 41.6 %), and our statistic analysis indicated that p53 expression was associated with pathological grade of glioma (OR 2.93, 95 % CI 1.87-4.60, P < 0.00001). This significant correction was also found in 1-, 3- and 5-year overall survival. However, no positive relationship was found between age, sex, tumor size and p53 expression in patients with glioma. In conclusion, our results suggested that p53 immunohistochemical expression might have an effective usefulness in predicting the prognosis in patients with glioma.
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Affiliation(s)
- Yueling Jin
- Department of Pathology, Shanghai University of Medicine & Health Sciences, Meilong Road 21, Shanghai, 200237, China
| | - Weizhong Xiao
- Department of Neurology, Shanghai Pudong Hospital Affiliated to Fudan University, Gongwei Road No. 2008, Huinan Town, Pudong New District, Shanghai, 201399, China
| | - Tingting Song
- Shanghai Putuo District Changfeng Lane Baiyu Community Health Service Center, Caoyang Road 421, Putuo District, Shanghai, 200063, China
| | - Guangjia Feng
- Department of Hematology, Shanghai Pudong Hospital Affiliated to Fudan University, Gongwei Road No. 2008, Huinan Town, Pudong New District, Shanghai, 201399, China
| | - Zhensheng Dai
- Department of Hematology, Shanghai Pudong Hospital Affiliated to Fudan University, Gongwei Road No. 2008, Huinan Town, Pudong New District, Shanghai, 201399, China.
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22
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Zhang F, Liu Y, Zhang Z, Li J, Wan Y, Zhang L, Wang Y, Li X, Xu Y, Fu X, Zhang X, Zhang M, Zhang Z, Zhang J, Yan Q, Ye J, Wang Z, Chen CD, Lin W, Li Q. 5-hydroxymethylcytosine loss is associated with poor prognosis for patients with WHO grade II diffuse astrocytomas. Sci Rep 2016; 6:20882. [PMID: 26864347 PMCID: PMC4749994 DOI: 10.1038/srep20882] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2015] [Accepted: 01/12/2016] [Indexed: 12/20/2022] Open
Abstract
Currently, the reliable prognostic biomarkers for WHO grade II diffuse astrocytomas (DA) are still limited. We investigated the relations between the level of 5-Hydroxymethylcytosine (5hmC), an oxidated production of 5-methylcytosine (5mC) by the ten eleven translocated (TET) enzymes, and clinicopathological features of glioma patients. With an identified anti-5hmC antibody, we performed immunohistochemistry in 287 glioma cases. We detected that 5hmC variably reduced in most gliomas and 5hmC reduction was closely associated with higher pathological grades and shortened survival of glioma patients. In multivariate analysis, 5hmC had no independent prognostic value in the entire patient cohort. However, multivariate analysis within subtypes of gliomas revealed that 5hmC was still a prognostic marker confined to DA. In addition, we detected that IDH1 mutation by DNA sequencing was associated with favorable survival within DA. Lastly, we detected that the combination of 5hmC/KI67 was a useful prognostic marker for restratification of DA.
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Affiliation(s)
- Feng Zhang
- State Key Laboratory of Cancer Biology, Department of Pathology; Xijing Hospital, Fourth Military Medical University, Shaanxi, 710032, China
| | - Yifan Liu
- State Key Laboratory of Molecular Biology, Shanghai Key laboratory of Molecular Andrology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China
| | - Zhiwen Zhang
- State Key Laboratory of Cancer Biology, Department of Pathology; Xijing Hospital, Fourth Military Medical University, Shaanxi, 710032, China
| | - Jie Li
- State Key Laboratory of Cancer Biology, Department of Pathology; Xijing Hospital, Fourth Military Medical University, Shaanxi, 710032, China
| | - Yi Wan
- Department of Health Statistics, Fourth Military Medical University, Shaanxi, 710032, China
| | - Liying Zhang
- State Key Laboratory of Cancer Biology, Department of Pathology; Xijing Hospital, Fourth Military Medical University, Shaanxi, 710032, China
| | - Yangmei Wang
- State Key Laboratory of Cancer Biology, Department of Pathology; Xijing Hospital, Fourth Military Medical University, Shaanxi, 710032, China
| | - Xia Li
- State Key Laboratory of Cancer Biology, Department of Pathology; Xijing Hospital, Fourth Military Medical University, Shaanxi, 710032, China
| | - Yuqiao Xu
- State Key Laboratory of Cancer Biology, Department of Pathology; Xijing Hospital, Fourth Military Medical University, Shaanxi, 710032, China
| | - Xin Fu
- State Key Laboratory of Cancer Biology, Department of Pathology; Xijing Hospital, Fourth Military Medical University, Shaanxi, 710032, China
| | - Xiumin Zhang
- State Key Laboratory of Cancer Biology, Department of Pathology; Xijing Hospital, Fourth Military Medical University, Shaanxi, 710032, China
| | - Ming Zhang
- Company 13, Student Brigade, Fourth Military Medical University, Xi'an, 710032, China
| | - Zhekai Zhang
- Company 13, Student Brigade, Fourth Military Medical University, Xi'an, 710032, China
| | - Jing Zhang
- State Key Laboratory of Cancer Biology, Department of Pathology; Xijing Hospital, Fourth Military Medical University, Shaanxi, 710032, China
| | - Qingguo Yan
- State Key Laboratory of Cancer Biology, Department of Pathology; Xijing Hospital, Fourth Military Medical University, Shaanxi, 710032, China
| | - Jing Ye
- State Key Laboratory of Cancer Biology, Department of Pathology; Xijing Hospital, Fourth Military Medical University, Shaanxi, 710032, China
| | - Zhe Wang
- State Key Laboratory of Cancer Biology, Department of Pathology; Xijing Hospital, Fourth Military Medical University, Shaanxi, 710032, China
| | - Charlie Degui Chen
- State Key Laboratory of Molecular Biology, Shanghai Key laboratory of Molecular Andrology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China
| | - Wei Lin
- Department of Neurosurgery; Xijing Hospital, Fourth Military Medical University, Shaanxi, 710032, China
| | - Qing Li
- State Key Laboratory of Cancer Biology, Department of Pathology; Xijing Hospital, Fourth Military Medical University, Shaanxi, 710032, China
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23
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Mazzocco P, Barthélémy C, Kaloshi G, Lavielle M, Ricard D, Idbaih A, Psimaras D, Renard M, Alentorn A, Honnorat J, Delattre J, Ducray F, Ribba B. Prediction of Response to Temozolomide in Low-Grade Glioma Patients Based on Tumor Size Dynamics and Genetic Characteristics. CPT Pharmacometrics Syst Pharmacol 2015; 4:728-37. [PMID: 26904387 PMCID: PMC4759703 DOI: 10.1002/psp4.54] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2015] [Revised: 04/23/2015] [Accepted: 05/04/2015] [Indexed: 01/27/2023] Open
Abstract
Both molecular profiling of tumors and longitudinal tumor size data modeling are relevant strategies to predict cancer patients' response to treatment. Herein we propose a model of tumor growth inhibition integrating a tumor's genetic characteristics (p53 mutation and 1p/19q codeletion) that successfully describes the time course of tumor size in patients with low-grade gliomas treated with first-line temozolomide chemotherapy. The model captures potential tumor progression under chemotherapy by accounting for the emergence of tissue resistance to treatment following prolonged exposure to temozolomide. Using information on individual tumors' genetic characteristics, in addition to early tumor size measurements, the model was able to predict the duration and magnitude of response, especially in those patients in whom repeated assessment of tumor response was obtained during the first 3 months of treatment. Combining longitudinal tumor size quantitative modeling with a tumor''s genetic characterization appears as a promising strategy to personalize treatments in patients with low-grade gliomas.
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Affiliation(s)
- P Mazzocco
- Inria, project‐team Numed, Ecole Normale Supérieure de LyonLyonFrance
| | - C Barthélémy
- Inria, project‐team Popix, Université Paris‐SudOrsayFrance
| | - G Kaloshi
- AP‐HP, Groupe Hospitalier Pitié‐Salpêtrière, Service de Neurologie Mazarin; INSERM, U975, Centre de Recherche de l'Institut du Cerveau et de la Moelle, Université Pierre & Marie Curie Paris VI, Faculté de Médecine Pitié‐Salpêtrière, CNRS UMR 7225 and UMR‐S975ParisFrance
| | - M Lavielle
- Inria, project‐team Popix, Université Paris‐SudOrsayFrance
| | - D Ricard
- Hôpital d'instruction des Armées du Val‐de‐GrâceParisFrance
| | - A Idbaih
- AP‐HP, Groupe Hospitalier Pitié‐Salpêtrière, Service de Neurologie Mazarin; INSERM, U975, Centre de Recherche de l'Institut du Cerveau et de la Moelle, Université Pierre & Marie Curie Paris VI, Faculté de Médecine Pitié‐Salpêtrière, CNRS UMR 7225 and UMR‐S975ParisFrance
| | - D Psimaras
- AP‐HP, Groupe Hospitalier Pitié‐Salpêtrière, Service de Neurologie Mazarin; INSERM, U975, Centre de Recherche de l'Institut du Cerveau et de la Moelle, Université Pierre & Marie Curie Paris VI, Faculté de Médecine Pitié‐Salpêtrière, CNRS UMR 7225 and UMR‐S975ParisFrance
| | - M‐A Renard
- AP‐HP, Groupe Hospitalier Pitié‐Salpêtrière, Service de Neurologie Mazarin; INSERM, U975, Centre de Recherche de l'Institut du Cerveau et de la Moelle, Université Pierre & Marie Curie Paris VI, Faculté de Médecine Pitié‐Salpêtrière, CNRS UMR 7225 and UMR‐S975ParisFrance
| | - A Alentorn
- AP‐HP, Groupe Hospitalier Pitié‐Salpêtrière, Service de Neurologie Mazarin; INSERM, U975, Centre de Recherche de l'Institut du Cerveau et de la Moelle, Université Pierre & Marie Curie Paris VI, Faculté de Médecine Pitié‐Salpêtrière, CNRS UMR 7225 and UMR‐S975ParisFrance
| | - J Honnorat
- Hospices Civils de Lyon, Hôpital Neurologique, Neuro‐oncologie; Université de Lyon, Claude Bernard Lyon 1, Lyon Neuroscience Research Center INSERM U1028/CNRS UMRLyonFrance
| | - J‐Y Delattre
- AP‐HP, Groupe Hospitalier Pitié‐Salpêtrière, Service de Neurologie Mazarin; INSERM, U975, Centre de Recherche de l'Institut du Cerveau et de la Moelle, Université Pierre & Marie Curie Paris VI, Faculté de Médecine Pitié‐Salpêtrière, CNRS UMR 7225 and UMR‐S975ParisFrance
| | - F Ducray
- Hospices Civils de Lyon, Hôpital Neurologique, Neuro‐oncologie; Université de Lyon, Claude Bernard Lyon 1, Lyon Neuroscience Research Center INSERM U1028/CNRS UMRLyonFrance
| | - B Ribba
- Inria, project‐team Numed, Ecole Normale Supérieure de LyonLyonFrance
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24
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Abstract
High-grade gliomas (HGGs) are extremely lethal tumors. Survival has not changed significantly in the past decades. The only known prognostic factors in pediatric HGGs (pHGGs) are extent of resection and histologic grade. Treatment has historically been based on adult trials because of the rarity of pHGGs and the lack of genomic tools to explore their unique molecular characteristics. The recent advances in molecular biological data helped divide these tumors into distinct subgroups. In this review, the authors focus on major molecular targets of alterations in pHGGs: histone H3.3, telomeres, PDGFRA, IDH, BRAF (V600E), ACVR1 and NTRK and briefly highlight the difference with the adult counterpart.
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Affiliation(s)
- Omar Chamdine
- Department of Oncology, St Jude Children's Research Hospital, Memphis, TN, USA
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25
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Abstract
The current World Health Organization (WHO) classification of tumors of the central nervous system (CNS) is essentially a lineage-oriented classification based on a presumable developmental tree of CNS. A four-tiered WHO grading scheme has been successfully applied to a spectrum of diffusely infiltrative astrocytomas, but it is not fully applicable to other gliomas, including oligodendrogliomas and ependymomas. Recent genetic studies have revealed that the major categories of gliomas, such as circumscribe astrocytomas, infiltrating astrocytomas/oligodendrogliomas, and glioblastoma, roughly correspond to major genetic alterations, including isocitrate dehydrogenases (IDHs) 1/2 mutations, TP53 mutations, co-deletion of chromosome arms 1p/19q, and BRAF mutation/fusion. These genetic alterations are clinically significant in terms of the response to treatment(s) and/or the prognosis. It is, thus, rational that future classification of gliomas should be based on genotypes, rather than phenotypes, although the genetic features of each tumor are not sufficiently understood at present to draw a complete map of the gliomas, and genetic testing is not yet available worldwide, particularly in Asian and African countries. This review summarizes the current concepts of the WHO classification, as well as the current understanding of the major genetic alterations in glioma and the potential use of these alterations as diagnostic criteria.
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Affiliation(s)
- Takashi Komori
- Department of Laboratory Medicine and Pathology (Neuropathology), Tokyo Metropolitan Neurological Hospital
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