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Sim Y, Choi K, Han K, Choi SH, Lee N, Park YW, Shin NY, Ahn SS, Chang JH, Kim SH, Lee SK. Identification of prognostic imaging biomarkers in H3 K27-altered diffuse midline gliomas in adults: impact of tumor oxygenation imaging biomarkers on survival. Neuroradiology 2024:10.1007/s00234-024-03412-0. [PMID: 39009856 DOI: 10.1007/s00234-024-03412-0] [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: 01/25/2024] [Accepted: 06/21/2024] [Indexed: 07/17/2024]
Abstract
PURPOSE To investigate prognostic markers for H3 K27-altered diffuse midline gliomas (DMGs) in adults with clinical, qualitative and quantitative imaging phenotypes, including tumor oxygenation characteristics. METHODS Retrospective chart and imaging reviews were conducted on 32 adults with H3 K27-altered DMGs between 2017 and 2023. Clinical and qualitative imaging characteristics were analyzed. Quantitative imaging assessment was performed from the tumor mask via automatic segmentation to calculate normalized cerebral blood volume (nCBV), capillary transit time heterogeneity (CTH), oxygen extraction fraction (OEF), relative cerebral metabolic rate of oxygen (rCMRO2), and mean ADC values. Leptomeningeal metastases (LM) was diagnosed with imaging. Cox analyses were conducted to determine predictors of overall survival (OS) in entire patients and a subgroup of patients with contrast-enhancing (CE) tumor. RESULTS The median patient age was 40.5 years (range 19.9-75.7), with an OS of 30.3 months (interquartile range 11.3-32.3). In entire patients, the presence of LM was the only independent predictor of OS (hazard ratio [HR] = 6.01, P = 0.009). In the subgroup of 23 (71.9%) patients with CE tumors, rCMRO2 of CE tumor (HR = 1.08, P = 0.019) and the presence of LM (HR = 5.92, P = 0.043) were independent predictors of OS. CONCLUSION The presence of LM was independently associated with poor prognosis in adult patients with H3 K27-altered DMG. In patients with CE tumors, higher rCMRO2 of CE tumor, which may reflect higher metabolic activity in the tumor oxygenation microenvironment, may be a useful imaging biomarker to predict poor prognosis.
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Affiliation(s)
- Yongsik Sim
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kaeum Choi
- Department of Statistics and Data Science, Yonsei University, Seoul, Korea
| | - Kyunghwa Han
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Seo Hee Choi
- Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, Korea
| | - Narae Lee
- Department of Nuclear Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Yae Won Park
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.
| | - Na-Young Shin
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Sung Soo Ahn
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Jong Hee Chang
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, Korea
| | - Se Hoon Kim
- Department of Pathology, Yonsei University College of Medicine, Seoul, Korea
| | - Seung-Koo Lee
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
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2
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Shin I, Sim Y, Choi SH, Park YW, Lee N, Ahn SS, Chang JH, Kim SH, Lee SK. Revisiting prognostic factors of gliomatosis cerebri in adult-type diffuse gliomas. J Neurooncol 2024; 168:239-247. [PMID: 38700610 DOI: 10.1007/s11060-024-04656-9] [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: 02/27/2024] [Accepted: 03/20/2024] [Indexed: 06/04/2024]
Abstract
PURPOSE There is lack of comprehensive analysis evaluating the impact of clinical, molecular, imaging, and surgical data on survival of patients with gliomatosis cerebri (GC). This study aimed to investigate prognostic factors of GC in adult-type diffuse glioma patients. METHODS Retrospective chart and imaging review was performed in 99 GC patients from adult-type diffuse glioma (among 1,211 patients; 6 oligodendroglioma, 16 IDH-mutant astrocytoma, and 77 IDH-wildtype glioblastoma) from a single institution between 2005 and 2021. Predictors of overall survival (OS) of entire patients and IDH-wildtype glioblastoma patients were determined. RESULTS The median OS was 16.7 months (95% confidence interval [CI] 14.2-22.2) in entire patients and 14.3 months (95% CI 12.2-61.9) in IDH-wildtype glioblastoma patients. In entire patients, KPS (hazard ratio [HR] = 0.98, P = 0.004), no 1p/19q codeletion (HR = 10.75, P = 0.019), MGMTp methylation (HR = 0.54, P = 0.028), and hemorrhage (HR = 3.45, P = 0.001) were independent prognostic factors on multivariable analysis. In IDH-wildtype glioblastoma patients, KPS (HR = 2.24, P = 0.075) was the only independent prognostic factor on multivariable analysis. In subgroup of IDH-wildtype glioblastoma with CE tumors, total resection of CE tumor did not remain as a significant prognostic factor (HR = 1.13, P = 0.685). CONCLUSIONS The prognosis of GC patients is determined by its underlying molecular type and patient performance status. Compared with diffuse glioma without GC, aggressive surgery of CE tumor in GC patients does not improve survival.
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Affiliation(s)
- Ilah Shin
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Yongsik Sim
- Department of Radiology and Center for Imaging Sciences, Samsung Medical Center, Sungkyungkwan University School of Medicine, Seoul, Korea
| | - Seo Hee Choi
- Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, Korea
| | - Yae Won Park
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 120-752, Korea.
| | - Narae Lee
- Department of Nuclear Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Sung Soo Ahn
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 120-752, Korea
| | - Jong Hee Chang
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, Korea
| | - Se Hoon Kim
- Department of Pathology, Yonsei University College of Medicine, Seoul, Korea
| | - Seung-Koo Lee
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 120-752, Korea
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3
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Qi P, Yao QL, Lao IW, Ren M, Bai QM, Cai X, Xue T, Wei R, Zhou XY. A custom next-generation sequencing panel for 1p/19q codeletion and mutational analysis in gliomas. J Neuropathol Exp Neurol 2024; 83:258-267. [PMID: 38408388 DOI: 10.1093/jnen/nlae011] [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] [Indexed: 02/28/2024] Open
Abstract
The World Health Organization has updated their classification system for the diagnosis of gliomas, combining histological features with molecular data including isocitrate dehydrogenase 1 and codeletion of chromosomal arms 1p and 19q. 1p/19q codeletion analysis is commonly performed by fluorescence in situ hybridization (FISH). In this study, we developed a 57-gene targeted next-generation sequencing (NGS) panel including 1p/19q codeletion detection mainly to assess diagnosis and potential treatment response in melanoma, gastrointestinal stromal tumor, and glioma patients. Loss of heterozygosity analysis was performed using the NGS method on 37 formalin-fixed paraffin-embedded glioma tissues that showed 1p and/or 19q loss determined by FISH. Conventional methods were applied for the validation of some glioma-related gene mutations. In 81.1% (30 of 37) and 94.6% (35 of 37) of cases, 1p and 19q were found to be in agreement whereas concordance for 1p/19q codeletion and no 1p/19q codeletion was found in 94.7% (18 of 19) and 94.4% (17 of 18) of cases, respectively. Overall, comparing NGS results with those of conventional methods showed high concordance. In conclusion, the NGS panel allows reliable analysis of 1p/19q codeletion and mutation at the same time.
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Affiliation(s)
- Peng Qi
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Qian-Lan Yao
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - I Weng Lao
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Min Ren
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Qian-Ming Bai
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Xu Cai
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Tian Xue
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Ran Wei
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
| | - Xiao-Yan Zhou
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Pathology, Fudan University, Shanghai, China
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Shirai Y, Ueno T, Kojima S, Ikeuchi H, Kitada R, Koyama T, Takahashi F, Takahashi K, Ichimura K, Yoshida A, Sugino H, Mano H, Narita Y, Takahashi M, Kohsaka S. The development of a custom RNA-sequencing panel for the identification of predictive and diagnostic biomarkers in glioma. J Neurooncol 2024; 167:75-88. [PMID: 38363490 PMCID: PMC10978676 DOI: 10.1007/s11060-024-04563-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: 11/17/2023] [Accepted: 01/02/2024] [Indexed: 02/17/2024]
Abstract
PURPOSE Various molecular profiles are needed to classify malignant brain tumors, including gliomas, based on the latest classification criteria of the World Health Organization, and their poor prognosis necessitates new therapeutic targets. The Todai OncoPanel 2 RNA Panel (TOP2-RNA) is a custom-target RNA-sequencing (RNA-seq) using the junction capture method to maximize the sensitivity of detecting 455 fusion gene transcripts and analyze the expression profiles of 1,390 genes. This study aimed to classify gliomas and identify their molecular targets using TOP2-RNA. METHODS A total of 124 frozen samples of malignant gliomas were subjected to TOP2-RNA for classification based on their molecular profiles and the identification of molecular targets. RESULTS Among 55 glioblastoma cases, gene fusions were detected in 11 cases (20%), including novel MET fusions. Seven tyrosine kinase genes were found to be overexpressed in 15 cases (27.3%). In contrast to isocitrate dehydrogenase (IDH) wild-type glioblastoma, IDH-mutant tumors, including astrocytomas and oligodendrogliomas, barely harbor fusion genes or gene overexpression. Of the 34 overexpressed tyrosine kinase genes, MDM2 and CDK4 in glioblastoma, 22 copy number amplifications (64.7%) were observed. When comparing astrocytomas and oligodendrogliomas in gene set enrichment analysis, the gene sets related to 1p36 and 19q were highly enriched in astrocytomas, suggesting that regional genomic DNA copy number alterations can be evaluated by gene expression analysis. CONCLUSIONS TOP2-RNA is a highly sensitive assay for detecting fusion genes, exon skipping, and aberrant gene expression. Alterations in targetable driver genes were identified in more than 50% of glioblastoma. Molecular profiling by TOP2-RNA provides ample predictive, prognostic, and diagnostic biomarkers that may not be identified by conventional assays and, therefore, is expected to increase treatment options for individual patients with glioma.
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Affiliation(s)
- Yukina Shirai
- Division of Cellular Signaling, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
- Department of Respiratory Medicine, Graduate School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, 113-8431, Japan
| | - Toshihide Ueno
- Division of Cellular Signaling, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
| | - Shinya Kojima
- Division of Cellular Signaling, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
| | - Hiroshi Ikeuchi
- Division of Cellular Signaling, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
- Department of General Thoracic Surgery, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, 113-8431, Japan
| | - Rina Kitada
- Division of Cellular Signaling, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
| | - Takafumi Koyama
- Department of Experimental Therapeutics, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
| | - Fumiyuki Takahashi
- Department of Respiratory Medicine, Graduate School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, 113-8431, Japan
| | - Kazuhisa Takahashi
- Department of Respiratory Medicine, Graduate School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, 113-8431, Japan
| | - Koichi Ichimura
- Department of Brain Disease Translational Research, Graduate School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-Ku, Tokyo, 113-8431, Japan
| | - Akihiko Yoshida
- Department of Diagnostic Pathology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
| | - Hirokazu Sugino
- Department of Diagnostic Pathology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
| | - Hiroyuki Mano
- Division of Cellular Signaling, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
| | - Yoshitaka Narita
- Department of Neurosurgery and Neuro-Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan
| | - Masamichi Takahashi
- Department of Neurosurgery and Neuro-Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan.
| | - Shinji Kohsaka
- Division of Cellular Signaling, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan.
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5
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Bertero L, Mangherini L, Ricci AA, Cassoni P, Sahm F. Molecular neuropathology: an essential and evolving toolbox for the diagnosis and clinical management of central nervous system tumors. Virchows Arch 2024; 484:181-194. [PMID: 37658995 PMCID: PMC10948579 DOI: 10.1007/s00428-023-03632-4] [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: 06/15/2023] [Revised: 08/04/2023] [Accepted: 08/22/2023] [Indexed: 09/05/2023]
Abstract
Molecular profiling has transformed the diagnostic workflow of CNS tumors during the last years. The latest WHO classification of CNS tumors (5th edition), published in 2021, pushed forward the integration between histopathological features and molecular hallmarks to achieve reproducible and clinically relevant diagnoses. To address these demands, pathologists have to appropriately deal with multiple molecular assays mainly including DNA methylation profiling and DNA/RNA next generation sequencing. Tumor classification by DNA methylation profiling is now a critical tool for many diagnostic tasks in neuropathology including the assessment of complex cases, to evaluate novel tumor types and to perform tumor subgrouping in hetereogenous entities like medulloblastoma or ependymoma. DNA/RNA NGS allow the detection of multiple molecular alterations including single nucleotide variations, small insertions/deletions (InDel), and gene fusions. These molecular markers can provide key insights for diagnosis, for example, if a tumor-specific mutation is detected, but also for treatment since targeted therapies are progressively entering the clinical practice. In the present review, a brief, but comprehensive overview of these tools will be provided, discussing their technical specifications, diagnostic value, and potential limitations. Moreover, the importance of molecular profiling will be shown in a representative series of CNS neoplasms including both the most frequent tumor types and other selected entities for which molecular characterization plays a critical role.
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Affiliation(s)
- Luca Bertero
- Pathology Unit, Department of Medical Sciences, University of Turin and Città Della Salute E Della Scienza University Hospital, Via Santena 7, 10126, Turin, Italy
| | - Luca Mangherini
- Pathology Unit, Department of Medical Sciences, University of Turin and Città Della Salute E Della Scienza University Hospital, Via Santena 7, 10126, Turin, Italy
| | - Alessia Andrea Ricci
- Pathology Unit, Department of Medical Sciences, University of Turin and Città Della Salute E Della Scienza University Hospital, Via Santena 7, 10126, Turin, Italy
| | - Paola Cassoni
- Pathology Unit, Department of Medical Sciences, University of Turin and Città Della Salute E Della Scienza University Hospital, Via Santena 7, 10126, Turin, Italy
| | - Felix Sahm
- Department of Neuropathology, Heidelberg University Hospital, Im Neuenheimer Feld 672, 69120, Heidelberg, Germany.
- Clinical Cooperation Unit Neuropathology, German Cancer Research Center (DKFZ), German Consortium for Translational Cancer Research (DKTK), Heidelberg, Germany.
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Penkova A, Kuziakova O, Gulaia V, Tiasto V, Goncharov NV, Lanskikh D, Zhmenia V, Baklanov I, Farniev V, Kumeiko V. Comprehensive clinical assays for molecular diagnostics of gliomas: the current state and future prospects. Front Mol Biosci 2023; 10:1216102. [PMID: 37908227 PMCID: PMC10613994 DOI: 10.3389/fmolb.2023.1216102] [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: 06/08/2023] [Accepted: 09/04/2023] [Indexed: 11/02/2023] Open
Abstract
Glioma is one of the most intractable types of cancer, due to delayed diagnosis at advanced stages. The clinical symptoms of glioma are unclear and due to a variety of glioma subtypes, available low-invasive testing is not effective enough to be introduced into routine medical laboratory practice. Therefore, recent advances in the clinical diagnosis of glioma have focused on liquid biopsy approaches that utilize a wide range of techniques such as next-generation sequencing (NGS), droplet-digital polymerase chain reaction (ddPCR), and quantitative PCR (qPCR). Among all techniques, NGS is the most advantageous diagnostic method. Despite the rapid cheapening of NGS experiments, the cost of such diagnostics remains high. Moreover, high-throughput diagnostics are not appropriate for molecular profiling of gliomas since patients with gliomas exhibit only a few diagnostic markers. In this review, we highlighted all available assays for glioma diagnosing for main pathogenic glioma DNA sequence alterations. In the present study, we reviewed the possibility of integrating routine molecular methods into the diagnosis of gliomas. We state that the development of an affordable assay covering all glioma genetic aberrations could enable early detection and improve patient outcomes. Moreover, the development of such molecular diagnostic kits could potentially be a good alternative to expensive NGS-based approaches.
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Affiliation(s)
- Alina Penkova
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Olga Kuziakova
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Valeriia Gulaia
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Vladlena Tiasto
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Nikolay V. Goncharov
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
- A. V. Zhirmunsky National Scientific Center of Marine Biology, FEB RAS, Vladivostok, Russia
| | - Daria Lanskikh
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Valeriia Zhmenia
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Ivan Baklanov
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
- A. V. Zhirmunsky National Scientific Center of Marine Biology, FEB RAS, Vladivostok, Russia
| | - Vladislav Farniev
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Vadim Kumeiko
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
- A. V. Zhirmunsky National Scientific Center of Marine Biology, FEB RAS, Vladivostok, Russia
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7
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Sahm F, Brandner S, Bertero L, Capper D, French PJ, Figarella-Branger D, Giangaspero F, Haberler C, Hegi ME, Kristensen BW, Kurian KM, Preusser M, Tops BBJ, van den Bent M, Wick W, Reifenberger G, Wesseling P. Molecular diagnostic tools for the World Health Organization (WHO) 2021 classification of gliomas, glioneuronal and neuronal tumors; an EANO guideline. Neuro Oncol 2023; 25:1731-1749. [PMID: 37279174 PMCID: PMC10547522 DOI: 10.1093/neuonc/noad100] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Indexed: 06/08/2023] Open
Abstract
In the 5th edition of the WHO CNS tumor classification (CNS5, 2021), multiple molecular characteristics became essential diagnostic criteria for many additional CNS tumor types. For those tumors, an integrated, "histomolecular" diagnosis is required. A variety of approaches exists for determining the status of the underlying molecular markers. The present guideline focuses on the methods that can be used for assessment of the currently most informative diagnostic and prognostic molecular markers for the diagnosis of gliomas, glioneuronal and neuronal tumors. The main characteristics of the molecular methods are systematically discussed, followed by recommendations and information on available evidence levels for diagnostic measures. The recommendations cover DNA and RNA next-generation-sequencing, methylome profiling, and select assays for single/limited target analyses, including immunohistochemistry. Additionally, because of its importance as a predictive marker in IDH-wildtype glioblastomas, tools for the analysis of MGMT promoter methylation status are covered. A structured overview of the different assays with their characteristics, especially their advantages and limitations, is provided, and requirements for input material and reporting of results are clarified. General aspects of molecular diagnostic testing regarding clinical relevance, accessibility, cost, implementation, regulatory, and ethical aspects are discussed as well. Finally, we provide an outlook on new developments in the landscape of molecular testing technologies in neuro-oncology.
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Affiliation(s)
- Felix Sahm
- Department of Neuropathology, University Hospital Heidelberg, Heidelberg, Germany
- CCU Neuropathology, German Concortium for Translational Cancer Research (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sebastian Brandner
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology and Division of Neuropathology, The National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
| | - Luca Bertero
- Pathology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - David Capper
- Department of Neuropathology, Charité, Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- German Cancer Consortium (DKTK), Partner Site Berlin, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Pim J French
- Department of Neurology, Brain Tumor Center at Erasmus MC Cancer Center, 3015 GD Rotterdam, The Netherlands
| | - Dominique Figarella-Branger
- Aix-Marseille University, APHM, CNRS, INP, Institute Neurophysiopathol, CHU Timone, Service d’Anatomie Pathologique et de Neuropathologie, Marseille, France
| | - Felice Giangaspero
- Department of Radiological, Oncological and Anatomo-Pathological Sciences, University Sapienza of Rome, Rome, Italy
| | - Christine Haberler
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Austria
| | - Monika E Hegi
- Neuroscience Research Center and Neurosurgery, Lausanne University Hospital and University of Lausanne, Switzerland
| | - Bjarne W Kristensen
- Department of Clinical Medicine and Biotech Research and Innovation Center (BRIC), University of Copenhagen, Denmark
- Department of Pathology, The Bartholin Institute, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | | | - Matthias Preusser
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Austria
| | - Bastiaan B J Tops
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Martin van den Bent
- The Brain Tumor Center at Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Wolfgang Wick
- Department of Neurology and Neurooncology Program, National Center for Tumor Diseases, Heidelberg University Hospital
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Guido Reifenberger
- Institute of Neuropathology, Heinrich Heine University, Medical Faculty, and University Hospital Düsseldorf, and German Cancer Consortium (DKTK), Partner Site Essen/Düsseldorf, Düsseldorf, Germany
| | - Pieter Wesseling
- Department of Pathology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands (P.W.)
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8
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Sohn B, Park K, Ahn SS, Park YW, Choi SH, Kang SG, Kim SH, Chang JH, Lee SK. Dynamic contrast-enhanced MRI radiomics model predicts epidermal growth factor receptor amplification in glioblastoma, IDH-wildtype. J Neurooncol 2023; 164:341-351. [PMID: 37689596 DOI: 10.1007/s11060-023-04435-y] [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: 07/24/2023] [Accepted: 08/23/2023] [Indexed: 09/11/2023]
Abstract
PURPOSE To develop and validate a dynamic contrast-enhanced (DCE) MRI-based radiomics model to predict epidermal growth factor receptor (EGFR) amplification in patients with glioblastoma, isocitrate dehydrogenase (IDH) wildtype. METHODS Patients with pathologically confirmed glioblastoma, IDH wildtype, from January 2015 to December 2020, with an EGFR amplification status, were included. Patients who did not undergo DCE or conventional brain MRI were excluded. Patients were categorized into training and test sets by a ratio of 7:3. DCE MRI data were used to generate volume transfer constant (Ktrans) and extracellular volume fraction (Ve) maps. Ktrans, Ve, and conventional MRI were then used to extract the radiomics features, from which the prediction models for EGFR amplification status were developed and validated. RESULTS A total of 190 patients (mean age, 59.9; male, 55.3%), divided into training (n = 133) and test (n = 57) sets, were enrolled. In the test set, the radiomics model using the Ktrans map exhibited the highest area under the receiver operating characteristic curve (AUROC), 0.80 (95% confidence interval [CI], 0.65-0.95). The AUROC for the Ve map-based and conventional MRI-based models were 0.74 (95% CI, 0.58-0.90) and 0.76 (95% CI, 0.61-0.91). CONCLUSION The DCE MRI-based radiomics model that predicts EGFR amplification in glioblastoma, IDH wildtype, was developed and validated. The MRI-based radiomics model using the Ktrans map has higher AUROC than conventional MRI.
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Affiliation(s)
- Beomseok Sohn
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Kisung Park
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
- Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, South Korea
| | - Sung Soo Ahn
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea.
| | - Yae Won Park
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
| | - Seung Hong Choi
- Department of Radiology, Seoul National University Hospital, Seoul, South Korea
| | - Seok-Gu Kang
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea
| | - Se Hoon Kim
- Department of Pathology, Yonsei University College of Medicine, Seoul, South Korea
| | - Jong Hee Chang
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea
| | - Seung-Koo Lee
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
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9
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Kothari S, Dusenbery AC, Doucette A, Zhang DY, Ballinger D, Desai A, Morrissette JJD, Bagley SJ, Nasrallah MP. RNA fusion transcript panel identifies diverse repertoire of fusions in adult glioma patients with therapeutic implications. Neurooncol Pract 2023; 10:370-380. [PMID: 37457221 PMCID: PMC10346416 DOI: 10.1093/nop/npad022] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/18/2023] Open
Abstract
Background Recurrent gliomas are therapeutically challenging diseases with few treatment options available. One area of potential therapeutic vulnerability is the presence of targetable oncogenic fusion proteins. Methods To better understand the clinical benefit of routinely testing for fusion proteins in adult glioma patients, we performed a retrospective review of 647 adult patients with glioma who underwent surgical resection at our center between August 2017 and May 2021 and whose tumors were analyzed with an in-house fusion transcript panel. Results Fifty-two patients (8%) were found to harbor a potentially targetable fusion with 11 (21%) of these patients receiving treatment with a fusion-targeted inhibitor. The targetable genes found to be involved in a fusion included FGFR3, MET, EGFR, NTRK1, NTRK2, BRAF, ROS1, and PIK3CA. Conclusions This analysis demonstrates that routine clinical testing for gene fusions identifies a diverse repertoire of potential therapeutic targets in adult patients with glioma and can offer rational therapeutic options for patients with recurrent disease.
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Affiliation(s)
- Shawn Kothari
- Division of Hematology/Oncology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Anna C Dusenbery
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Abigail Doucette
- Division of Hematology/Oncology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Daniel Y Zhang
- Biochemistry and Molecular Biophysics Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Dominique Ballinger
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Arati Desai
- Electronic Phenotyping Core, Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jennifer J D Morrissette
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Stephen J Bagley
- Division of Hematology/Oncology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - MacLean P Nasrallah
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
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10
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Ahn SH, Ahn SS, Park YW, Park CJ, Lee SK. Association of dynamic susceptibility contrast- and dynamic contrast-enhanced magnetic resonance imaging parameters with molecular marker status in lower-grade gliomas: A retrospective study. Neuroradiol J 2023; 36:49-58. [PMID: 35532193 PMCID: PMC9893160 DOI: 10.1177/19714009221098369] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
PURPOSE Molecular marker status is clinically relevant for treatment planning and predicting the prognosis of gliomas. This study aimed to assess whether quantitative imaging parameters from dynamic susceptibility contrast- (DSC-) and dynamic contrast-enhanced (DCE)-magnetic resonance imaging (MRI) can predict the molecular marker status of lower-grade gliomas (LGGs). MATERIALS AND METHODS Overall, 132 patients with LGGs who underwent DSC- and DCE-MRI were retrospectively enrolled. Statuses of relevant molecular markers including isocitrate dehydrogenase isoenzyme (IDH), 1p19q codeletion, epidermal growth factor receptor (EGFR), O6-methylguanine-DNA methyltransferase (MGMT), and telomerase reverse transcriptase (TERT) were collected. For each molecular marker, age, tumor diameter and location, and DSC- and DCE-MRI parameters, including the normalized cerebral blood volume (nCBV), volume transfer constant (Ktrans), rate transfer coefficient (Kep), extravascular extracellular volume fraction (Ve), and plasma volume fraction (Vp), were compared. Multivariable logistic regression analyses were performed. RESULTS The nCBV was significantly lower in LGGs with IDH mutation (p = .001) and TERT mutation (p = .027) than those without these mutations. Ktrans (p = .034), Ve (p = .023), and Vp (p = .044) values were significantly lower in MGMT methylated LGGs than in MGMT unmethylated LGGs. Perfusion parameters were not significantly associated with EGFR amplification and 1p19q codeletion. Young age (p < .001) and small diameter (p = .001) were significantly associated with IDH mutation. The nCBV was independently associated with IDH status (AUC, 0.817; 95% CI: 0.739-0.894). CONCLUSIONS DSC- and DCE-MRI parameters demonstrated correlations with molecular markers of LGGs. Especially, the nCBV can be helpful in predicting the IDH mutation status.
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Affiliation(s)
- Sung Hee Ahn
- Department of Radiology, Yonsei University College of
Medicine, Seoul, Korea
| | - Sung Soo Ahn
- Department of Radiology, Yonsei University College of
Medicine, Seoul, Korea
| | - Yae Won Park
- Department of Radiology, Yonsei University College of
Medicine, Seoul, Korea
| | - Chae Jung Park
- Department of Radiology, Yonsei University College of
Medicine, Seoul, Korea
| | - Seung-Koo Lee
- Department of Radiology, Yonsei University College of
Medicine, Seoul, Korea
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11
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Li S, Wang C, Chen J, Lan Y, Zhang W, Kang Z, Zheng Y, Zhang R, Yu J, Li W. Signaling pathways in brain tumors and therapeutic interventions. Signal Transduct Target Ther 2023; 8:8. [PMID: 36596785 PMCID: PMC9810702 DOI: 10.1038/s41392-022-01260-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 11/16/2022] [Accepted: 11/21/2022] [Indexed: 01/05/2023] Open
Abstract
Brain tumors, although rare, contribute to distinct mortality and morbidity at all ages. Although there are few therapeutic options for brain tumors, enhanced biological understanding and unexampled innovations in targeted therapies and immunotherapies have considerably improved patients' prognoses. Nonetheless, the reduced response rates and unavoidable drug resistance of currently available treatment approaches have become a barrier to further improvement in brain tumor (glioma, meningioma, CNS germ cell tumors, and CNS lymphoma) treatment. Previous literature data revealed that several different signaling pathways are dysregulated in brain tumor. Importantly, a better understanding of targeting signaling pathways that influences malignant behavior of brain tumor cells might open the way for the development of novel targeted therapies. Thus, there is an urgent need for a more comprehensive understanding of the pathogenesis of these brain tumors, which might result in greater progress in therapeutic approaches. This paper began with a brief description of the epidemiology, incidence, risk factors, as well as survival of brain tumors. Next, the major signaling pathways underlying these brain tumors' pathogenesis and current progress in therapies, including clinical trials, targeted therapies, immunotherapies, and system therapies, have been systemically reviewed and discussed. Finally, future perspective and challenges of development of novel therapeutic strategies in brain tumor were emphasized.
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Affiliation(s)
- Shenglan Li
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Can Wang
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jinyi Chen
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yanjie Lan
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Weichunbai Zhang
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhuang Kang
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yi Zheng
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Rong Zhang
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jianyu Yu
- grid.24696.3f0000 0004 0369 153XDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wenbin Li
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
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12
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Sex as a prognostic factor in adult-type diffuse gliomas: an integrated clinical and molecular analysis according to the 2021 WHO classification. J Neurooncol 2022; 159:695-703. [PMID: 35988090 DOI: 10.1007/s11060-022-04114-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 08/04/2022] [Indexed: 02/03/2023]
Abstract
PURPOSE To investigate whether type-specific sex differences in survival exist independently of clinical and molecular factors in adult-type diffuse gliomas according to the 2021 World Health Organization (WHO) classification. METHODS A retrospective chart and imaging review of 1325 patients (mean age, 54 ± 15 years; 569 females) with adult-type diffuse gliomas (oligodendroglioma, IDH-mutant, and 1p/19q-codeleted, n = 183; astrocytoma, IDH-mutant, n = 211; glioblastoma, IDH-wildtype, n = 800; IDH-wildtype diffuse glioma, NOS, n = 131) was performed. The demographic information, extent of resection, imaging data, and molecular data including O6-methylguanine-methyltransferase promoter methylation (MGMT) promotor methylation were collected. Sex differences in survival were analyzed using Cox analysis. RESULTS In patients with glioblastoma, IDH-wildtype, female sex remained as an independent predictor of better overall survival (hazard ratio = 0.91, P = 0.031), along with age, histological grade 4, MGMT promoter methylation status, and gross total resection. Female sex showed a higher prevalence of MGMT promoter methylation (40.2% vs 32.0%, P = 0.017) but there was no interaction effect between female sex and MGMT promoter methylation status (P-interaction = 0.194), indicating independent role of female sex. The median OS for females were 19.2 months (12.3-35.0) and 16.2 months (10.5-30.6) for males. No sex difference in survival was seen in other types of adult-type diffuse gliomas. CONCLUSION There was a female survival advantage in glioblastoma, IDH-wildtype, independently of clinical data or MGMT promoter methylation status. There was no sex difference in survival in other types of adult-type diffuse gliomas, suggesting type-specific sex effects solely in glioblastoma, IDH-wildtype.
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13
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FGFR3-TACCs3 Fusions and Their Clinical Relevance in Human Glioblastoma. Int J Mol Sci 2022; 23:ijms23158675. [PMID: 35955806 PMCID: PMC9369421 DOI: 10.3390/ijms23158675] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 07/27/2022] [Accepted: 08/02/2022] [Indexed: 02/01/2023] Open
Abstract
Oncogenic fusion genes have emerged as successful targets in several malignancies, such as chronic myeloid leukemia and lung cancer. Fusion of the fibroblast growth receptor 3 and the transforming acidic coiled coil containing protein—FGFR3-TACC3 fusion—is prevalent in 3–4% of human glioblastoma. The fusion protein leads to the constitutively activated kinase signaling of FGFR3 and thereby promotes cell proliferation and tumor progression. The subgroup of FGFR3-TACC3 fusion-positive glioblastomas presents with recurrent clinical and histomolecular characteristics, defining a distinctive subtype of IDH-wildtype glioblastoma. This review aims to provide an overview of the available literature on FGFR3-TACC3 fusions in glioblastoma and possible implications for actual clinical practice.
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14
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Adding radiomics to the 2021 WHO updates may improve prognostic prediction for current IDH-wildtype histological lower-grade gliomas with known EGFR amplification and TERT promoter mutation status. Eur Radiol 2022; 32:8089-8098. [PMID: 35763095 DOI: 10.1007/s00330-022-08941-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/28/2022] [Accepted: 06/01/2022] [Indexed: 01/03/2023]
Abstract
OBJECTIVES To assess whether radiomic features could improve the accuracy of survival predictions of IDH-wildtype (IDHwt) histological lower-grade gliomas (LGGs) over clinicopathological features. METHODS Preoperative MRI data of 61 patients with IDHwt histological LGGs were included as the institutional training set. The test set consisted of 32 patients from The Cancer Genome Atlas. Radiomic features (n = 186) were extracted using conventional MRIs. The radiomics risk score (RRS) for overall survival (OS) was derived from the elastic net. Multivariable Cox regression analyses with clinicopathological features (including epidermal growth factor receptor [EGFR] amplification and telomerase reverse transcriptase promoter [TERTp] mutation status) and the RRS were performed. The integrated area under the receiver operating curves (iAUCs) from the models with and without the RRS were compared. The net reclassification index (NRI) for 1-year OS was also calculated. The prognostic value of the RRS was evaluated using the external validation set. RESULTS The RRS independently predicted OS (hazard ratio = 48.08; p = 0.001). Compared with the clinicopathological model alone, adding the RRS had a better OS prediction performance (iAUCs 0.775 vs. 0.910), which was internally validated (iAUCs 0.726 vs. 0.884, 1-year OS NRI = 0.497), and a similar trend was found on external validation (iAUCs 0.683 vs. 0.705, 1-year OS NRI = 0.733). The prognostic significance of the RRS was confirmed in the external validation set (p = 0.001). CONCLUSIONS Integrating radiomics with clinicopathological features (including EGFR amplification and TERTp mutation status) can improve survival prediction in patients with IDHwt LGGs. KEY POINTS • Radiomics risk score has the potential to improve survival prediction when added to clinicopathological features (iAUCs increased from 0.775 to 0.910). • NRIs for 1-year OS showed that the radiomics risk score had incremental value over the clinicopathological model. • The prognostic significance of the radiomics risk score was confirmed in the external validation set (p = 0.001).
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15
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Brandner S, McAleenan A, Jones HE, Kernohan A, Robinson T, Schmidt L, Dawson S, Kelly C, Leal ES, Faulkner CL, Palmer A, Wragg C, Jefferies S, Vale L, Higgins JPT, Kurian KM. Diagnostic accuracy of 1p/19q codeletion tests in oligodendroglioma: A comprehensive meta-analysis based on a Cochrane systematic review. Neuropathol Appl Neurobiol 2022; 48:e12790. [PMID: 34958131 PMCID: PMC9208578 DOI: 10.1111/nan.12790] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 11/23/2021] [Accepted: 11/27/2021] [Indexed: 11/29/2022]
Abstract
Codeletion of chromosomal arms 1p and 19q, in conjunction with a mutation in the isocitrate dehydrogenase 1 or 2 gene, is the molecular diagnostic criterion for oligodendroglioma, IDH mutant and 1p/19q codeleted. 1p/19q codeletion is a diagnostic marker and allows prognostication and prediction of the best drug response within IDH-mutant tumours. We performed a Cochrane review and simple economic analysis to establish the most sensitive, specific and cost-effective techniques for determining 1p/19q codeletion status. Fluorescent in situ hybridisation (FISH) and polymerase chain reaction (PCR)-based loss of heterozygosity (LOH) test methods were considered as reference standard. Most techniques (FISH, chromogenic in situ hybridisation [CISH], PCR, real-time PCR, multiplex ligation-dependent probe amplification [MLPA], single nucleotide polymorphism [SNP] array, comparative genomic hybridisation [CGH], array CGH, next-generation sequencing [NGS], mass spectrometry and NanoString) showed good sensitivity (few false negatives) for detection of 1p/19q codeletions in glioma, irrespective of whether FISH or PCR-based LOH was used as the reference standard. Both NGS and SNP array had a high specificity (fewer false positives) for 1p/19q codeletion when considered against FISH as the reference standard. Our findings suggest that G banding is not a suitable test for 1p/19q analysis. Within these limits, considering cost per diagnosis and using FISH as a reference, MLPA was marginally more cost-effective than other tests, although these economic analyses were limited by the range of available parameters, time horizon and data from multiple healthcare organisations.
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Affiliation(s)
- Sebastian Brandner
- Division of Neuropathology, The National Hospital for Neurology and NeurosurgeryUniversity College London Hospitals NHS Foundation TrustLondonUK
- Department of Neurodegenerative Disease, Queen Square Instituite of NeurologyUniversity College LondonLondonUK
| | - Alexandra McAleenan
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Hayley E. Jones
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Ashleigh Kernohan
- Population Health Sciences InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Tomos Robinson
- Population Health Sciences InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Lena Schmidt
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Sarah Dawson
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Claire Kelly
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | | | - Claire L. Faulkner
- Bristol Genetics Laboratory, Pathology SciencesSouthmead HospitalBristolUK
| | - Abigail Palmer
- Bristol Genetics Laboratory, Pathology SciencesSouthmead HospitalBristolUK
| | - Christopher Wragg
- Bristol Genetics Laboratory, Pathology SciencesSouthmead HospitalBristolUK
| | | | - Luke Vale
- Population Health Sciences InstituteNewcastle UniversityNewcastle upon TyneUK
| | - Julian P. T. Higgins
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Kathreena M. Kurian
- Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
- Bristol Medical School: Brain Tumour Research Centre, Public Health SciencesUniversity of BristolBristolUK
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16
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Utility of Targeted Next-Generation Sequencing Assay to Detect 1p/19q Co-Deletion in Formalin-fixed Paraffin-embedded Glioma Specimens. Hum Pathol 2022; 126:63-76. [PMID: 35561840 DOI: 10.1016/j.humpath.2022.05.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 05/03/2022] [Indexed: 12/12/2022]
Abstract
Molecular classification of brain neoplasms is important for diagnosis, prognosis, and treatment outcome of histologically similar tumors. Oligodendroglioma is a glioma subtype characterized by 1p/19q co-deletion and IDH1/IDH2 mutations, which predicts a good prognosis, responsiveness to therapy and an improved overall survival compared to other adult gliomas. In a routine clinical setting, 1p/19q co-deletion is detected by interphase-FISH and SNP microarray, and somatic mutations are detected by targeted next generation sequencing (NGS). The aim of this proof-of-principle study was to investigate the feasibility of using targeted NGS to simultaneously detect both 1p/19q co-deletion and somatic mutations. Among two hundred forty-seven consecutive patients with formalin-fixed paraffin-embedded brain tumors with various subtypes, NGS revealed 1p/19q co-deletion in twenty-six oligodendrogliomas and an IDH-wildtype astrocytoma, and partial loss across chromosomes 1p and 19q/whole-arm loss of 1p or 19q/copy neutral loss of heterozygosity in eleven non-oligodendrogliomas. For this 247 brain-tumor cohort, the overall sensitivity, specificity, and accuracy of detecting 1p/19q co-deletion by NGS in oligodendrogliomas were 96.2%, 99.6%, and 99.2%, respectively. The oligodendroglioma cohort had more mutations in IDH1/IDH2, CIC, FUBP1, and TERT, and fewer mutations in ATRX and TP53 than the non-oligodendroglioma cohort. This proof-of-concept study demonstrated that targeted NGS can simultaneously detect both 1p/19q co-deletion and somatic mutations, which can provide a more comprehensive genetic profiling for patients with gliomas using a single assay in a clinical setting.
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17
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Next generation sequencing in adult patients with glioblastoma in Switzerland: a multi-centre decision analysis. J Neurooncol 2022; 158:359-367. [PMID: 35486306 DOI: 10.1007/s11060-022-04022-7] [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: 03/07/2022] [Accepted: 04/20/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Glioblastoma is the most common malignant primary brain tumour in adults and driven by various genomic alterations. Next generation sequencing (NGS) provides timely information about the genetic landscape of tumours and might detect targetable mutations. To date, differences exist in the application and NGS assays used as it remains unclear to what extent these variants may affect clinical decision making. In this survey-based study, we investigated the use of NGS in adult patients with glioblastoma in Switzerland. METHODS All eight primary care centres for Neuro-Oncology in Switzerland participated in this survey. The NGS assays used as well as the criteria for the application of NGS in newly diagnosed glioblastoma were investigated. Decision trees were analysed for consensus and discrepancies using the objective consensus methodology. RESULTS Seven out of eight centres perform NGS in patients with newly diagnosed glioblastoma using custom made or commercially available assays. The criteria most relevant to decision making were age, suitability of standard treatment and fitness. NGS is most often used in fitter patients under the age of 60 years who are not suitable for standard therapy, while it is rarely performed in patients in poor general health. CONCLUSION NGS is frequently applied in glioblastomas in adults in Neuro-Oncology centres in Switzerland despite seldom changing the course of treatment to date.
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18
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Tirrò E, Massimino M, Broggi G, Romano C, Minasi S, Gianno F, Antonelli M, Motta G, Certo F, Altieri R, Manzella L, Caltabiano R, Barbagallo GMV, Buttarelli FR, Magro G, Giangaspero F, Vigneri P. A Custom DNA-Based NGS Panel for the Molecular Characterization of Patients With Diffuse Gliomas: Diagnostic and Therapeutic Applications. Front Oncol 2022; 12:861078. [PMID: 35372034 PMCID: PMC8969903 DOI: 10.3389/fonc.2022.861078] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 02/21/2022] [Indexed: 12/12/2022] Open
Abstract
The management of patients with Central Nervous System (CNS) malignancies relies on the appropriate classification of these tumors. Recently, the World Health Organization (WHO) has published new criteria underlining the importance of an accurate molecular characterization of CNS malignancies, in order to integrate the information generated by histology. Next generation sequencing (NGS) allows single step sequencing of multiple genes, generating a comprehensive and specific mutational profile of the tumor tissue. We developed a custom NGS-based multi-gene panel (Glio-DNA panel) for the identification of the correct glioma oncotype and the detection of its essential molecular aberrations. Specifically, the Glio-DNA panel targets specific genetic and chromosomal alterations involving ATRX chromatin remodeler (ATRX), cyclin dependent kinase inhibitor 2A (CDKN2A), isocitrate dehydrogenase (NADP+) 1 (IDH1) and the telomerase reverse transcriptase (TERT) promoter while also recognizing the co-deletion of 1p/19q, loss of chromosome 10 and gain of chromosome 7. Furthermore, the Glio-DNA panel also evaluates the methylation level of the O-6-methylguanine-DNA methyltransferase (MGMT) gene promoter that predicts temozolomide efficacy. As knowledge of the mutational landscape of each glioma is mandatory to define a personalized therapeutic strategy, the Glio-DNA panel also identifies alterations involving “druggable” or “actionable” genes. To test the specificity of our panel, we used two reference mutated DNAs verifying that NGS allele frequency measurement was highly accurate and sensitive. Subsequently, we performed a comparative analysis between conventional techniques - such as immunohistochemistry or fluorescence in situ hybridization - and NGS on 60 diffuse glioma samples that had been previously characterized. The comparison between conventional testing and NGS showed high concordance, suggesting that the Glio-DNA panel may replace multiple time-consuming tests. Finally, the identification of alterations involving different actionable genes matches glioma patients with potential targeted therapies available through clinical trials. In conclusion, our analysis demonstrates NGS efficacy in simultaneously detecting different genetic alterations useful for the diagnosis, prognosis and treatment of adult patients with diffuse glioma.
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Affiliation(s)
- Elena Tirrò
- Center of Experimental Oncology and Hematology Azienda Ospedaliero Universitaria (AOU) Policlinico “G. Rodolico - San Marco”, Catania, Italy
- Department of Surgical, Oncological and Stomatological Sciences, University of Palermo, Palermo, Italy
- *Correspondence: Elena Tirrò,
| | - Michele Massimino
- Center of Experimental Oncology and Hematology Azienda Ospedaliero Universitaria (AOU) Policlinico “G. Rodolico - San Marco”, Catania, Italy
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Giuseppe Broggi
- Department of Medical and Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, Anatomic Pathology, University of Catania, Catania, Italy
| | - Chiara Romano
- Center of Experimental Oncology and Hematology Azienda Ospedaliero Universitaria (AOU) Policlinico “G. Rodolico - San Marco”, Catania, Italy
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Simone Minasi
- Department of Radiological, Oncological and Anatomo-Pathological Sciences, La Sapienza University, Rome, Italy
| | - Francesca Gianno
- Department of Radiological, Oncological and Anatomo-Pathological Sciences, La Sapienza University, Rome, Italy
| | - Manila Antonelli
- Department of Radiological, Oncological and Anatomo-Pathological Sciences, La Sapienza University, Rome, Italy
| | - Gianmarco Motta
- Center of Experimental Oncology and Hematology Azienda Ospedaliero Universitaria (AOU) Policlinico “G. Rodolico - San Marco”, Catania, Italy
| | - Francesco Certo
- Department of Medical and Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, Neurological Surgery, Policlinico “G. Rodolico - San Marco” University Hospital, University of Catania, Catania, Italy
| | - Roberto Altieri
- Department of Medical and Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, Neurological Surgery, Policlinico “G. Rodolico - San Marco” University Hospital, University of Catania, Catania, Italy
| | - Livia Manzella
- Center of Experimental Oncology and Hematology Azienda Ospedaliero Universitaria (AOU) Policlinico “G. Rodolico - San Marco”, Catania, Italy
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Rosario Caltabiano
- Department of Medical and Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, Anatomic Pathology, University of Catania, Catania, Italy
| | - Giuseppe Maria Vincenzo Barbagallo
- Department of Medical and Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, Neurological Surgery, Policlinico “G. Rodolico - San Marco” University Hospital, University of Catania, Catania, Italy
| | - Francesca Romana Buttarelli
- Department of Radiological, Oncological and Anatomo-Pathological Sciences, La Sapienza University, Rome, Italy
| | - Gaetano Magro
- Department of Medical and Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, Anatomic Pathology, University of Catania, Catania, Italy
| | - Felice Giangaspero
- Department of Radiological, Oncological and Anatomo-Pathological Sciences, La Sapienza University, Rome, Italy
- IRCCS Neuromed, Pozzilli, Italy
| | - Paolo Vigneri
- Center of Experimental Oncology and Hematology Azienda Ospedaliero Universitaria (AOU) Policlinico “G. Rodolico - San Marco”, Catania, Italy
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
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19
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McAleenan A, Jones HE, Kernohan A, Robinson T, Schmidt L, Dawson S, Kelly C, Spencer Leal E, Faulkner CL, Palmer A, Wragg C, Jefferies S, Brandner S, Vale L, Higgins JP, Kurian KM. Diagnostic test accuracy and cost-effectiveness of tests for codeletion of chromosomal arms 1p and 19q in people with glioma. Cochrane Database Syst Rev 2022; 3:CD013387. [PMID: 35233774 PMCID: PMC8889390 DOI: 10.1002/14651858.cd013387.pub2] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Complete deletion of both the short arm of chromosome 1 (1p) and the long arm of chromosome 19 (19q), known as 1p/19q codeletion, is a mutation that can occur in gliomas. It occurs in a type of glioma known as oligodendroglioma and its higher grade counterpart known as anaplastic oligodendroglioma. Detection of 1p/19q codeletion in gliomas is important because, together with another mutation in an enzyme known as isocitrate dehydrogenase, it is needed to make the diagnosis of an oligodendroglioma. Presence of 1p/19q codeletion also informs patient prognosis and prediction of the best drug treatment. The main two tests in use are fluorescent in situ hybridisation (FISH) and polymerase chain reaction (PCR)-based loss of heterozygosity (LOH) assays (also known as PCR-based short tandem repeat or microsatellite analysis). Many other tests are available. None of the tests is perfect, although PCR-based LOH is expected to have very high sensitivity. OBJECTIVES To estimate the sensitivity and specificity and cost-effectiveness of different deoxyribonucleic acid (DNA)-based techniques for determining 1p/19q codeletion status in glioma. SEARCH METHODS We searched MEDLINE, Embase and BIOSIS up to July 2019. There were no restrictions based on language or date of publication. We sought economic evaluation studies from the results of this search and using the National Health Service Economic Evaluation Database. SELECTION CRITERIA We included cross-sectional studies in adults with glioma or any subtype of glioma, presenting raw data or cross-tabulations of two or more DNA-based tests for 1p/19q codeletion. We also sought economic evaluations of these tests. DATA COLLECTION AND ANALYSIS We followed procedures outlined in the Cochrane Handbook for Diagnostic Test Accuracy Reviews. Two review authors independently screened titles/abstracts/full texts, performed data extraction, and undertook applicability and risk of bias assessments using QUADAS-2. Meta-analyses used the hierarchical summary ROC model to estimate and compare test accuracy. We used FISH and PCR-based LOH as alternate reference standards to examine how tests compared with those in common use, and conducted a latent class analysis comparing FISH and PCR-based LOH. We constructed an economic model to evaluate cost-effectiveness. MAIN RESULTS We included 53 studies examining: PCR-based LOH, FISH, single nucleotide polymorphism (SNP) array, next-generation sequencing (NGS), comparative genomic hybridisation (CGH), array comparative genomic hybridisation (aCGH), multiplex-ligation-dependent probe amplification (MLPA), real-time PCR, chromogenic in situ hybridisation (CISH), mass spectrometry (MS), restriction fragment length polymorphism (RFLP) analysis, G-banding, methylation array and NanoString. Risk of bias was low for only one study; most gave us concerns about how patients were selected or about missing data. We had applicability concerns about many of the studies because only patients with specific subtypes of glioma were included. 1520 participants contributed to analyses using FISH as the reference, 1304 participants to analyses involving PCR-based LOH as the reference and 262 participants to analyses of comparisons between methods from studies not including FISH or PCR-based LOH. Most evidence was available for comparison of FISH with PCR-based LOH (15 studies, 915 participants): PCR-based LOH detected 94% of FISH-determined codeletions (95% credible interval (CrI) 83% to 98%) and FISH detected 91% of codeletions determined by PCR-based LOH (CrI 78% to 97%). Of tumours determined not to have a deletion by FISH, 94% (CrI 87% to 98%) had a deletion detected by PCR-based LOH, and of those determined not to have a deletion by PCR-based LOH, 96% (CrI 90% to 99%) had a deletion detected by FISH. The latent class analysis suggested that PCR-based LOH may be slightly more accurate than FISH. Most other techniques appeared to have high sensitivity (i.e. produced few false-negative results) for detection of 1p/19q codeletion when either FISH or PCR-based LOH was considered as the reference standard, although there was limited evidence. There was some indication of differences in specificity (false-positive rate) with some techniques. Both NGS and SNP array had high specificity when considered against FISH as the reference standard (NGS: 6 studies, 243 participants; SNP: 6 studies, 111 participants), although we rated certainty in the evidence as low or very low. NGS and SNP array also had high specificity when PCR-based LOH was considered the reference standard, although with much more uncertainty as these results were based on fewer studies (just one study with 49 participants for NGS and two studies with 33 participants for SNP array). G-banding had low sensitivity and specificity when PCR-based LOH was the reference standard. Although MS had very high sensitivity and specificity when both FISH and PCR-based LOH were considered the reference standard, these results were based on only one study with a small number of participants. Real-time PCR also showed high specificity with FISH as a reference standard, although there were only two studies including 40 participants. We found no relevant economic evaluations. Our economic model using FISH as the reference standard suggested that the resource-optimising test depends on which measure of diagnostic accuracy is most important. With FISH as the reference standard, MLPA is likely to be cost-effective if society was willing to pay GBP 1000 or less for a true positive detected. However, as the value placed on a true positive increased, CISH was most cost-effective. Findings differed when the outcome measure changed to either true negative detected or correct diagnosis. When PCR-based LOH was used as the reference standard, MLPA was likely to be cost-effective for all measures of diagnostic accuracy at lower threshold values for willingness to pay. However, as the threshold values increased, none of the tests were clearly more likely to be considered cost-effective. AUTHORS' CONCLUSIONS In our review, most techniques (except G-banding) appeared to have good sensitivity (few false negatives) for detection of 1p/19q codeletions in glioma against both FISH and PCR-based LOH as a reference standard. However, we judged the certainty of the evidence low or very low for all the tests. There are possible differences in specificity, with both NGS and SNP array having high specificity (fewer false positives) for 1p/19q codeletion when considered against FISH as the reference standard. The economic analysis should be interpreted with caution due to the small number of studies.
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Affiliation(s)
- Alexandra McAleenan
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Hayley E Jones
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ashleigh Kernohan
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Tomos Robinson
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne , UK
| | - Lena Schmidt
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Sarah Dawson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Claire Kelly
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Emmelyn Spencer Leal
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Claire L Faulkner
- Bristol Genetics Laboratory, Pathology Sciences, Southmead Hospital, Bristol, UK
| | - Abigail Palmer
- Bristol Genetics Laboratory, Pathology Sciences, Southmead Hospital, Bristol, UK
| | - Christopher Wragg
- Bristol Genetics Laboratory, Pathology Sciences, Southmead Hospital, Bristol, UK
| | - Sarah Jefferies
- Department of Oncology, Addenbrooke's Hospital, Cambridge, UK
| | - Sebastian Brandner
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- Division of Neuropathology, The National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
| | - Luke Vale
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, UK
| | - Julian Pt Higgins
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kathreena M Kurian
- Bristol Medical School: Brain Tumour Research Centre, Public Health Sciences, University of Bristol, Bristol, UK
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20
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Sporikova Z, Slavkovsky R, Tuckova L, Kalita O, Megova Houdova M, Ehrmann J, Hajduch M, Hrabalek L, Vaverka M. IDH1/2 Mutations in Patients With Diffuse Gliomas: A Single Centre Retrospective Massively Parallel Sequencing Analysis. Appl Immunohistochem Mol Morphol 2022; 30:178-183. [PMID: 35262523 PMCID: PMC8920008 DOI: 10.1097/pai.0000000000000997] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 10/26/2021] [Indexed: 12/05/2022]
Abstract
Patients below 55 years were genetically studied because the prevalence of isocitrate dehydrogenase 1 (IDH1) decreases in older patients and on grounds of cost-effectiveness, as suggested by the World Health Organization (WHO) in 2016. The aim of our study was to use novel massively parallel sequencing (MPS) approaches to examine rare variants of IDH1/2 in Czech diffuse astrocytic and oligodendroglial tumors (gliomas) patients below 55 years of age who had been immunohistochemically (IHC) diagnosed as IDH1 R132H negative. The IHC IDH1 status (wild type or mutant) of 275 tissue samples was analyzed using antibodies against the IDH1 R132H protein. Sixty-three samples of 55 years old patients with IHC IDH1 WT status were genotyped using two different MPS technologies to detect rare IDH1 and IDH2 variants. The tiered IHC (60 positive) and molecular (10 positive) approach thus revealed that 70 of the 275 samples (25%) bore IDH1/IDH2 mutations. The combined molecular and IHC approach thus revealed that 70 of the 275 samples (25%) considered in the study bore IDH1/IDH2 mutations. IHC detection of the IDH1 R132H variant should be routinely complemented with MPS to detect rare IDH1/2 variants in glioma patients below 55 years of age with negative IHC result of IDH R132H variant.
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Affiliation(s)
| | | | | | - Ondrej Kalita
- Neurosurgery, Faculty of Medicine and Dentistry, Palacky University and University Hospital, Olomouc
- Department of Health Care Science, Faculty of Humanities, T. Bata University in Zlin, the Czech Republic
| | | | | | | | - Lumir Hrabalek
- Neurosurgery, Faculty of Medicine and Dentistry, Palacky University and University Hospital, Olomouc
| | - Miroslav Vaverka
- Neurosurgery, Faculty of Medicine and Dentistry, Palacky University and University Hospital, Olomouc
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21
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Yang K, Wu Z, Zhang H, Zhang N, Wu W, Wang Z, Dai Z, Zhang X, Zhang L, Peng Y, Ye W, Zeng W, Liu Z, Cheng Q. Glioma targeted therapy: insight into future of molecular approaches. Mol Cancer 2022; 21:39. [PMID: 35135556 PMCID: PMC8822752 DOI: 10.1186/s12943-022-01513-z] [Citation(s) in RCA: 267] [Impact Index Per Article: 133.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Accepted: 01/12/2022] [Indexed: 12/13/2022] Open
Abstract
Gliomas are the common type of brain tumors originating from glial cells. Epidemiologically, gliomas occur among all ages, more often seen in adults, which males are more susceptible than females. According to the fifth edition of the WHO Classification of Tumors of the Central Nervous System (WHO CNS5), standard of care and prognosis of gliomas can be dramatically different. Generally, circumscribed gliomas are usually benign and recommended to early complete resection, with chemotherapy if necessary. Diffuse gliomas and other high-grade gliomas according to their molecule subtype are slightly intractable, with necessity of chemotherapy. However, for glioblastoma, feasible resection followed by radiotherapy plus temozolomide chemotherapy define the current standard of care. Here, we discuss novel feasible or potential targets for treatment of gliomas, especially IDH-wild type glioblastoma. Classic targets such as the p53 and retinoblastoma (RB) pathway and epidermal growth factor receptor (EGFR) gene alteration have met failure due to complex regulatory network. There is ever-increasing interest in immunotherapy (immune checkpoint molecule, tumor associated macrophage, dendritic cell vaccine, CAR-T), tumor microenvironment, and combination of several efficacious methods. With many targeted therapy options emerging, biomarkers guiding the prescription of a particular targeted therapy are also attractive. More pre-clinical and clinical trials are urgently needed to explore and evaluate the feasibility of targeted therapy with the corresponding biomarkers for effective personalized treatment options.
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Affiliation(s)
- Keyang Yang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.,Xiangya School of Medicine, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Zhijing Wu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.,Xiangya School of Medicine, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Hao Zhang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Nan Zhang
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,One-Third Lab, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Wantao Wu
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Department of Oncology, Xiangya Hospital, Central South University, Changsha, China
| | - Zeyu Wang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Ziyu Dai
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Xun Zhang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Liyang Zhang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Yun Peng
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China.,Teaching and Research Section of Clinical Nursing, Xiangya Hospital of Central South University, Changsha, China
| | - Weijie Ye
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
| | - Wenjing Zeng
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
| | - Zhixiong Liu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China. .,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
| | - Quan Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China. .,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
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22
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Prochazkova K, Ptakova N, Alaghehbandan R, Williamson SR, Vaněček T, Vodicka J, Treska V, Rogala J, Pivovarcikova K, Michalova K, Slisarenko M, Hora M, Michal M, Hes O. Mutation Profile Variability in the Primary Tumor and Multiple Pulmonary Metastases of Clear Cell Renal Cell Carcinoma. A Review of the Literature and Analysis of Four Metastatic Cases. Cancers (Basel) 2021; 13:5906. [PMID: 34885018 PMCID: PMC8656868 DOI: 10.3390/cancers13235906] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 11/13/2021] [Accepted: 11/22/2021] [Indexed: 12/12/2022] Open
Abstract
(1) Background: There are limited data concerning inter-tumoral and inter-metastatic heterogeneity in clear cell renal cell carcinoma (CCRCC). The aim of our study was to review published data and to examine mutation profile variability in primary and multiple pulmonary metastases (PMs) in our cohort of four patients with metastatic CCRCC. (2) Methods: Four patients were enrolled in this study. The clinical characteristics, types of surgeries, histopathologic results, immunohistochemical and genetic evaluations of corresponding primary tumor and PMs, and follow-up data were recorded. (3) Results: In our series, the most commonly mutated genes were those in the canonically dysregulated VHL pathway, which were detected in both primary tumors and corresponding metastasis. There were genetic profile differences between primary and metastatic tumors, as well as among particular metastases in one patient. (4) Conclusions: CCRCC shows heterogeneity between the primary tumor and its metastasis. Such mutational changes may be responsible for suboptimal treatment outcomes in targeted therapy settings.
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Affiliation(s)
- Kristyna Prochazkova
- Department of Surgery, Faculty of Medicine in Pilsen and University Hospital Pilsen, Charles University, 304 60 Pilsen, Czech Republic; (K.P.); (J.V.); (V.T.)
| | - Nikola Ptakova
- Second Faculty of Medicine, Charles University, 150 06 Prague, Czech Republic;
| | - Reza Alaghehbandan
- Department of Pathology, University of British Columbia, Vancouver, BC 2329, Canada;
| | - Sean R. Williamson
- Robert J. Tomsich Pathology and Laboratory Medicine Institute and Glickman Urological Institute, Cleveland Clinic, Cleveland, OH 44195, USA;
| | - Tomáš Vaněček
- Department of Pathology, Faculty of Medicine in Pilsen and University Hospital Pilsen, Charles University, 305 99 Pilsen, Czech Republic; (T.V.); (J.R.); (K.P.); (K.M.); (M.S.); (M.M.)
| | - Josef Vodicka
- Department of Surgery, Faculty of Medicine in Pilsen and University Hospital Pilsen, Charles University, 304 60 Pilsen, Czech Republic; (K.P.); (J.V.); (V.T.)
| | - Vladislav Treska
- Department of Surgery, Faculty of Medicine in Pilsen and University Hospital Pilsen, Charles University, 304 60 Pilsen, Czech Republic; (K.P.); (J.V.); (V.T.)
| | - Joanna Rogala
- Department of Pathology, Faculty of Medicine in Pilsen and University Hospital Pilsen, Charles University, 305 99 Pilsen, Czech Republic; (T.V.); (J.R.); (K.P.); (K.M.); (M.S.); (M.M.)
| | - Kristyna Pivovarcikova
- Department of Pathology, Faculty of Medicine in Pilsen and University Hospital Pilsen, Charles University, 305 99 Pilsen, Czech Republic; (T.V.); (J.R.); (K.P.); (K.M.); (M.S.); (M.M.)
| | - Kvetoslava Michalova
- Department of Pathology, Faculty of Medicine in Pilsen and University Hospital Pilsen, Charles University, 305 99 Pilsen, Czech Republic; (T.V.); (J.R.); (K.P.); (K.M.); (M.S.); (M.M.)
| | - Maryna Slisarenko
- Department of Pathology, Faculty of Medicine in Pilsen and University Hospital Pilsen, Charles University, 305 99 Pilsen, Czech Republic; (T.V.); (J.R.); (K.P.); (K.M.); (M.S.); (M.M.)
| | - Milan Hora
- Department of Urology, Faculty of Medicine in Pilsen and University Hospital Pilsen, Charles University, 305 99 Pilsen, Czech Republic;
| | - Michal Michal
- Department of Pathology, Faculty of Medicine in Pilsen and University Hospital Pilsen, Charles University, 305 99 Pilsen, Czech Republic; (T.V.); (J.R.); (K.P.); (K.M.); (M.S.); (M.M.)
| | - Ondrej Hes
- Department of Pathology, Faculty of Medicine in Pilsen and University Hospital Pilsen, Charles University, 305 99 Pilsen, Czech Republic; (T.V.); (J.R.); (K.P.); (K.M.); (M.S.); (M.M.)
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23
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Aref-Eshghi E, Lin F, Li MM, Zhong Y. The oncogenic roles of NTRK fusions and methods of molecular diagnosis. Cancer Genet 2021; 258-259:110-119. [PMID: 34710798 DOI: 10.1016/j.cancergen.2021.10.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 09/23/2021] [Accepted: 10/16/2021] [Indexed: 10/20/2022]
Abstract
The NTRK gene family is composed of NTRK1, NTRK2, and NTRK3, which encode three tropomyosin-receptor kinases, belonging to a class of tyrosine kinase receptors. These proteins are known to play roles in cell proliferation, differentiation, apoptosis, and survival. Fusions involving the NTRK genes are long known as drivers in many tumors. Although they occur in less than 5% of all malignancies, their occurrence in a great diversity of tumors has been documented. Several rare tumors including infantile fibrosarcoma, secretory breast carcinoma, and mammary analogue secretory carcinoma are accompanied by NTRK fusions in more than 90% of cases, demonstrating a diagnostic value for the NTRK fusion testing in these tumors. More recently, the development of effective targeted therapies has created a demand for their detection in all malignancies. A variety of approaches are available for testing including immunohistochemistry, fluorescence in situ hybridization (FISH), reverse transcription polymerase chain reaction (RT-PCR), and DNA- and RNA-based next-generation sequencing (NGS). This article reviews the molecular biology and tumorigenesis of NTRK fusions, their prevalence and clinical significance with a focus on available methods for fusion detection. The advantages and limitations of different technologies, the best practice algorithms for NTRK fusion detection, and the future direction of NTRK testing are also discussed.
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Affiliation(s)
- Erfan Aref-Eshghi
- Department of Pathology and Laboratory Medicine, Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Fumin Lin
- Department of Pathology and Laboratory Medicine, Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Marilyn M Li
- Department of Pathology and Laboratory Medicine, Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, United States; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Yiming Zhong
- Department of Pathology and Laboratory Medicine, Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, United States; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
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24
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Sohn B, An C, Kim D, Ahn SS, Han K, Kim SH, Kang SG, Chang JH, Lee SK. Radiomics-based prediction of multiple gene alteration incorporating mutual genetic information in glioblastoma and grade 4 astrocytoma, IDH-mutant. J Neurooncol 2021; 155:267-276. [PMID: 34648115 PMCID: PMC8651601 DOI: 10.1007/s11060-021-03870-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 10/06/2021] [Indexed: 11/30/2022]
Abstract
Purpose In glioma, molecular alterations are closely associated with disease prognosis. This study aimed to develop a radiomics-based multiple gene prediction model incorporating mutual information of each genetic alteration in glioblastoma and grade 4 astrocytoma, IDH-mutant. Methods From December 2014 through January 2020, we enrolled 418 patients with pathologically confirmed glioblastoma (based on the 2016 WHO classification). All selected patients had preoperative MRI and isocitrate dehydrogenase (IDH) mutation, O-6-methylguanine-DNA methyltransferase (MGMT) promoter methylation, epidermal growth factor receptor amplification, and alpha-thalassemia/mental retardation syndrome X-linked (ATRX) loss status. Patients were randomly split into training and test sets (7:3 ratio). Enhancing tumor and peritumoral T2-hyperintensity were auto-segmented, and 660 radiomics features were extracted. We built binary relevance (BR) and ensemble classifier chain (ECC) models for multi-label classification and compared their performance. In the classifier chain, we calculated the mean absolute Shapley value of input features. Results The micro-averaged area under the curves (AUCs) for the test set were 0.804 and 0.842 in BR and ECC models, respectively. IDH mutation status was predicted with the highest AUCs of 0.964 (BR) and 0.967 (ECC). The ECC model showed higher AUCs than the BR model for ATRX (0.822 vs. 0.775) and MGMT promoter methylation (0.761 vs. 0.653) predictions. The mean absolute Shapley values suggested that predicted outcomes from the prior classifiers were important for better subsequent predictions along the classifier chains. Conclusion We built a radiomics-based multiple gene prediction chained model that incorporates mutual information of each genetic alteration in glioblastoma and grade 4 astrocytoma, IDH-mutant and performs better than a simple bundle of binary classifiers using prior classifiers’ prediction probability. Supplementary Information The online version contains supplementary material available at 10.1007/s11060-021-03870-z.
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Affiliation(s)
- Beomseok Sohn
- Department of Radiology, Severance Hospital, Research Institute of Radiological Science and Center for Clinical Image Data Science, Yonsei University College of Medicine, Seoul, South Korea
| | - Chansik An
- Department of Radiology and Research Institute, National Health Insurance Service Ilsan Hospital, Goyang, South Korea
| | - Dain Kim
- Department of Radiology, Severance Hospital, Research Institute of Radiological Science and Center for Clinical Image Data Science, Yonsei University College of Medicine, Seoul, South Korea
| | - Sung Soo Ahn
- Department of Radiology, Severance Hospital, Research Institute of Radiological Science and Center for Clinical Image Data Science, Yonsei University College of Medicine, Seoul, South Korea.
| | - Kyunghwa Han
- Department of Radiology, Severance Hospital, Research Institute of Radiological Science and Center for Clinical Image Data Science, Yonsei University College of Medicine, Seoul, South Korea
| | - Se Hoon Kim
- Department of Pathology, Yonsei University College of Medicine, Seoul, South Korea
| | - Seok-Gu Kang
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea
| | - Jong Hee Chang
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea
| | - Seung-Koo Lee
- Department of Radiology, Severance Hospital, Research Institute of Radiological Science and Center for Clinical Image Data Science, Yonsei University College of Medicine, Seoul, South Korea
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25
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Evaluation of a Targeted Next-Generation Sequencing Panel for the Non-Invasive Detection of Variants in Circulating DNA of Colorectal Cancer. J Clin Med 2021; 10:jcm10194487. [PMID: 34640513 PMCID: PMC8509146 DOI: 10.3390/jcm10194487] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 09/20/2021] [Accepted: 09/24/2021] [Indexed: 12/17/2022] Open
Abstract
Molecular profiling of circulating cell-free DNA (cfDNA) has shown utility for the management of colorectal cancer (CRC). TruSight Tumor 170 (TST170) is a next-generation sequencing (NGS) panel that covers 170 cancer-related genes, including KRAS, which is a key driver gene in CRC. We evaluated the capacity of TST170 to detect gene variants in cfDNA from a retrospective cohort of 20 metastatic CRC patients with known KRAS variants in tumor tissue and in cfDNA previously analyzed by pyrosequencing and BEAMing, respectively. The cfDNA of most of the patients (95%) was successfully sequenced. We frequently detected variants with clinical significance in KRAS (79%, 15/19) and PIK3CA (26%, 5/19) genes. Variants with potential clinical significance were also identified in another 27 cancer genes, such as APC. The type of KRAS variant detected in cfDNA by TST170 showed high concordance with those detected in tumor tissue (77%), and very high concordance with cfDNA analyzed by BEAMing (94%). The variant allele fractions for KRAS obtained in cfDNA by TST170 and BEAMing correlated strongly. This proof-of-principle study indicates that targeted NGS analysis of cfDNA with TST170 could be useful for non-invasive detection of gene variants in metastatic CRC patients, providing an assay that could be easily implemented for detecting somatic alterations in the clinic.
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Identification of magnetic resonance imaging features for the prediction of molecular profiles of newly diagnosed glioblastoma. J Neurooncol 2021; 154:83-92. [PMID: 34191225 DOI: 10.1007/s11060-021-03801-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 06/25/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE We predicted molecular profiles in newly diagnosed glioblastoma patients using magnetic resonance (MR) imaging features and explored the associations between imaging features and major molecular alterations. METHODS This retrospective study included patients with newly diagnosed glioblastoma and available next-generation sequencing results. From preoperative MR imaging, Visually AcceSAble Rembrandt Images (VASARI) features, volumetric parameters, and apparent diffusion coefficient (ADC) values were obtained. First, univariate random forest was performed to identify gene abnormalities that could be predicted by imaging features with high accuracy and stability. Next, multivariate random forest was trained to predict the selected genes in the discovery cohort and was validated in the external cohort. Univariable logistic regression was performed to further explore the associations between imaging features and genes. RESULTS Univariate random forest identified nine genes predicted by imaging features, with high accuracy and stability. The multivariate random forest model showed excellent performance in predicting IDH and PTPN11 mutations in the discovery cohort, which were validated in the external validation cohorts (areas under the receiver operator characteristic curve [AUCs] of 0.855 for IDH and 0.88 for PTPN11). ATRX loss and EGFR mutation were predicted with AUCs of 0.753 and 0.739, respectively, whereas PTEN could not be reliably predicted. Based on univariable logistic regression analyses, IDH, ATRX, and TP53 were clustered according to their shared imaging features, whereas EGFR and CDKN2A/B were clustered in the opposite direction. CONCLUSIONS MR imaging features are related to specific molecular alterations and can be used to predict molecular profiles in patients with newly diagnosed glioblastoma.
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Kim SW, Park BJ, Kim HS, Na K. Diagnostic Utility of Oncomine Comprehensive Assay v3 in Differentiating Between Isocitrate Dehydrogenase (IDH)-mutated Grade II-III Astrocytoma and Oligodendroglioma. In Vivo 2021; 35:921-927. [PMID: 33622884 DOI: 10.21873/invivo.12332] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Revised: 01/22/2021] [Accepted: 01/25/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND/AIM The application of Oncomine Comprehensive Assay v3 (OCAv3) panel in diffuse gliomas (DGs) remains unknown. We investigated the utility of OCAv3-based next-generation sequencing (NGS) in isocitrate dehydrogenase (IDH)-mutated grade II-III DGs. PATIENTS AND METHODS We collected 20 tissue samples obtained from IDH-mutated grade II-III DG patients and performed OCAv3-based NGS. RESULTS By conventional molecular methods, the 20 DGs were classified into seven astrocytomas and 13 oligodendrogliomas. OCAv3 detected all mutations identified in these samples using the conventional methods. The results were highly corroborated by the known mutations in each group. Clustered copy number loss of genes located at the 1p and 19q loci was detected in all 13 oligodendroglioma cases, which harbor the 1p/19q codeletion. CONCLUSION The application of OCAv3-based NGS will improve diagnostic accuracy in DG, with the most beneficial aspects expected in detecting copy number alterations to identify the 1p/19q codeletion correctly.
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Affiliation(s)
- So-Woon Kim
- Department of Pathology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Bong Jin Park
- Department of Neurosurgery, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Hyun-Soo Kim
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Kiyong Na
- Department of Pathology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Republic of Korea;
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Jung H, Bae GE, Kim HM, Kim HS. Clinicopathological and Molecular Differences Between Gastric-type Mucinous Carcinoma and Usual-type Endocervical Adenocarcinoma of the Uterine Cervix. Cancer Genomics Proteomics 2021; 17:627-641. [PMID: 32859641 DOI: 10.21873/cgp.20219] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 05/23/2020] [Accepted: 06/22/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND/AIM We investigated differences in the clinicopathological and molecular characteristics between gastric-type mucinous carcinoma (GMC) and usual-type endocervical adenocarcinoma (UEA). PATIENTS AND METHODS We collected the clinicopathological information and performed targeted genomic sequencing analysis. RESULTS GMCs exhibited significantly deeper invasion depth, larger horizontal spread, more advanced stage, more frequent distant metastasis, and more frequent parametrial and vaginal extension. Disease-free survival time of GMC patients was significantly shorter than that of UEA patients. GMCs displayed mutant p53 immunostaining pattern, whereas UEAs exhibited p16 block positivity. GMCs harbored mutations in KRAS, TP53, NF1, CDKN2A, STK11, and ARID1A. One GMC exhibited MDM2 amplification. In contrast, UEAs harbored mutations in HRAS, PIK3CA, and BRCA2. Two UEAs were found to have novel TP53 mutations. CONCLUSION GMC is associated with more aggressive behavior than UEA. Distinctive p53 and p16 immunostaining patterns enable differential diagnosis. GMC and UEA exhibit genetic heterogeneity with potentially actionable molecular alterations.
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Affiliation(s)
- Hera Jung
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Department of Pathology, CHA Ilsan Women's and Children's General Hospital, CHA University, Goyang, Republic of Korea
| | - Go Eun Bae
- Department of Pathology, Chungnam National University Hospital, Chungnam National University School of Medicine, Daejeon, Republic of Korea
| | - Hye Min Kim
- Department of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyun-Soo Kim
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
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Zeng C, Wang J, Li M, Wang H, Lou F, Cao S, Lu C. Comprehensive Molecular Characterization of Chinese Patients with Glioma by Extensive Next-Generation Sequencing Panel Analysis. Cancer Manag Res 2021; 13:3573-3588. [PMID: 33953611 PMCID: PMC8092857 DOI: 10.2147/cmar.s291681] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 02/17/2021] [Indexed: 12/12/2022] Open
Abstract
Background Tremendous efforts have been made to explore biomarkers for classifying and grading glioma. However, the majority of the current understanding is based on public databases that might not accurately reflect the Asian population. Here, we investigated the genetic landscape of Chinese glioma patients using a validated multigene next-generation sequencing (NGS) panel to provide a strong rationale for the future classification and prognosis of glioma in this population. Methods We analyzed 83 samples, consisting of 71 initial treatments and 12 recurrent surgical tumors, from 81 Chinese patients with gliomas by performing multigene NGS with an Acornmed panel targeting 808 cancer-related hotspot genes, including genes related to glioma (hotspots, selected exons or complete coding sequences) and full-length SNPs located on chromosomes 1 and 19. Results A total of 76 (91.57%) glioma samples had at least one somatic mutation. The most commonly mutated genes were TP53, TERT, IDH1, PTEN, ATRX, and EGFR. Approximately one-third of cases exhibited more than one copy number variation. Of note, this study identified the amplification of genes, such as EGFR and PDGFRA, which were significantly associated with glioblastoma but had not been previously used for clinical classification (P<0.05). Significant differences in genomic profiles between different pathological subtypes and WHO grade were observed. Compared to the MSKCC database primarily comprised of Caucasians, H3F3A mutations and MET amplifications exhibited higher mutation rates, whereas TERT mutations and EGFR and CDKN2A/B copy number variations presented a lower mutation rate in Chinese patients with glioma (P<0.05). Conclusion Our multigene NGS in the simultaneous evaluation of multiple relevant markers revealed several novel genetic alterations in Chinese patients with glioma. NGS-based molecular analysis is a reliable and effective method for diagnosing brain tumors, assisting clinicians in evaluating additional potential therapeutic options, such as targeted therapy, for glioma patients in different racial/ethnic groups.
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Affiliation(s)
- Chun Zeng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
| | - Jing Wang
- Department of Neurosurgery, Peking University International Hospital, Beijing, People's Republic of China
| | - Mingwei Li
- Acornmed Biotechnology Co., Ltd, Beijing, People's Republic of China
| | - Huina Wang
- Acornmed Biotechnology Co., Ltd, Beijing, People's Republic of China
| | - Feng Lou
- Acornmed Biotechnology Co., Ltd, Beijing, People's Republic of China
| | - Shanbo Cao
- Acornmed Biotechnology Co., Ltd, Beijing, People's Republic of China
| | - Changyu Lu
- Department of Neurosurgery, Peking University International Hospital, Beijing, People's Republic of China
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Park YW, Park JE, Ahn SS, Kim EH, Kang SG, Chang JH, Kim SH, Choi SH, Kim HS, Lee SK. Magnetic Resonance Imaging Parameters for Noninvasive Prediction of Epidermal Growth Factor Receptor Amplification in Isocitrate Dehydrogenase-Wild-Type Lower-Grade Gliomas: A Multicenter Study. Neurosurgery 2021; 89:257-265. [PMID: 33913501 DOI: 10.1093/neuros/nyab136] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 02/21/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The epidermal growth factor receptor (EGFR) amplification status of isocitrate dehydrogenase-wild-type (IDHwt) lower-grade gliomas (LGGs; grade II/III) is one of the key markers for diagnosing molecular glioblastoma. However, the association between EGFR status and imaging parameters is unclear. OBJECTIVE To identify noninvasive imaging parameters from diffusion-weighted and dynamic susceptibility contrast imaging for predicting the EGFR amplification status of IDHwt LGGs. METHODS A total of 86 IDHwt LGG patients with known EGFR amplification status (62 nonamplified and 24 amplified) from 3 tertiary institutions were included. Qualitative and quantitative imaging features, including histogram parameters from apparent diffusion coefficient (ADC), normalized cerebral blood volume (nCBV), and normalized cerebral blood flow (nCBF), were assessed. Univariable and multivariable logistic regression models were constructed. RESULTS On multivariable analysis, multifocal/multicentric distribution (odds ratio [OR] = 11.77, P = .006), mean ADC (OR = 0.01, P = .044), 5th percentile of ADC (OR = 0.01, P = .046), and 95th percentile of nCBF (OR = 1.24, P = .031) were independent predictors of EGFR amplification. The diagnostic performance of the model with qualitative imaging parameters increased significantly when quantitative imaging parameters were added, with areas under the curves of 0.81 and 0.93, respectively (P = .004). CONCLUSION The presence of multifocal/multicentric distribution patterns, lower mean ADC, lower 5th percentile of ADC, and higher 95th percentile of nCBF may be useful imaging biomarkers for EGFR amplification in IDHwt LGGs. Moreover, quantitative imaging biomarkers may add value to qualitative imaging parameters.
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Affiliation(s)
- Yae Won Park
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
| | - Ji Eun Park
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Seoul, Korea
| | - Sung Soo Ahn
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
| | - Eui Hyun Kim
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea
| | - Seok-Gu Kang
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea
| | - Jong Hee Chang
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea
| | - Se Hoon Kim
- Department of Pathology, Yonsei University College of Medicine, Seoul, South Korea
| | - Seung Hong Choi
- Department of Radiology, Seoul National University Hospital, Seoul, South Korea
| | - Ho Sung Kim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Seoul, Korea
| | - Seung-Koo Lee
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
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Shin I, Park YW, Ahn SS, Kang SG, Chang JH, Kim SH, Lee SK. Clinical and diffusion parameters may noninvasively predict TERT promoter mutation status in grade II meningiomas. J Neuroradiol 2021; 49:59-65. [PMID: 33716047 DOI: 10.1016/j.neurad.2021.02.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 02/18/2021] [Accepted: 02/27/2021] [Indexed: 01/26/2023]
Abstract
BACKGROUND AND PURPOSE Increasing evidence suggests that genomic and molecular markers need to be integrated in grading of meningioma. Telomerase reverse transcriptase promoter (TERTp) mutation is receiving attention due to its clinical relevance in the treatment of meningiomas. The predictive ability of conventional and diffusion MRI parameters for determining the TERTp mutation status in grade II meningiomas has yet been identified. MATERIAL AND METHODS In this study, 63 patients with surgically confirmed grade II meningiomas (56 TERTp wildtype, 7 TERTp mutant) were included. Conventional imaging features were qualitatively assessed. The maximum diameter, volume of the tumors and histogram parameters from the apparent diffusion coefficient (ADC) were assessed. Independent clinical and imaging risk factors for TERTp mutation were investigated using multivariable logistic regression. The discriminative value of the prediction models with and without imaging features was evaluated. RESULTS In the univariable regression, older age (odds ratio [OR] = 1.13, P = 0.005), larger maximum diameter (OR = 1.09, P = 0.023), larger volume (OR = 1.04, P = 0.014), lower mean ADC (OR = 0.02, P = 0.025), and lower ADC 10th percentile (OR = 0.01, P = 0.014) were predictors of TERTp mutation. In multivariable regression, age (OR = 1.13, P = 0.009) and ADC 10th percentile (OR = 0.01, P = 0.038) were independent predictors of variables for predicting the TERTp mutation status. The performance of the prediction model increased upon inclusion of imaging parameters (area under the curves of 0.86 and 0.91, respectively, without and with imaging parameters). CONCLUSION Older age and lower ADC 10th percentile may be useful parameters to predict TERTp mutation in grade II meningiomas.
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Affiliation(s)
- Ilah Shin
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
| | - Yae Won Park
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea.
| | - Sung Soo Ahn
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
| | - Seok-Gu Kang
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea
| | - Jong Hee Chang
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea
| | - Se Hoon Kim
- Department of Pathology, Yonsei University College of Medicine, Seoul, South Korea
| | - Seung-Koo Lee
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
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Park CJ, Han K, Kim H, Ahn SS, Choi D, Park YW, Chang JH, Kim SH, Cha S, Lee SK. MRI Features May Predict Molecular Features of Glioblastoma in Isocitrate Dehydrogenase Wild-Type Lower-Grade Gliomas. AJNR Am J Neuroradiol 2021; 42:448-456. [PMID: 33509914 DOI: 10.3174/ajnr.a6983] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 10/19/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND PURPOSE Isocitrate dehydrogenase (IDH) wild-type lower-grade gliomas (histologic grades II and III) with epidermal growth factor receptor (EGFR) amplification or telomerase reverse transcriptase (TERT) promoter mutation are reported to behave similar to glioblastoma. We aimed to evaluate whether MR imaging features could identify a subset of IDH wild-type lower-grade gliomas that carry molecular features of glioblastoma. MATERIALS AND METHODS In this multi-institutional retrospective study, pathologically confirmed IDH wild-type lower-grade gliomas from 2 tertiary institutions and The Cancer Genome Atlas constituted the training set (institution 1 and The Cancer Genome Atlas, 64 patients) and the independent test set (institution 2, 57 patients). Preoperative MRIs were analyzed using the Visually AcceSAble Rembrandt Images and radiomics. The molecular glioblastoma status was determined on the basis of the presence of EGFR amplification and TERT promoter mutation. Molecular glioblastoma was present in 73.4% and 56.1% in the training and test sets, respectively. Models using clinical, Visually AcceSAble Rembrandt Images, and radiomic features were built to predict the molecular glioblastoma status in the training set; then they were validated in the test set. RESULTS In the test set, a model using both Visually AcceSAble Rembrandt Images and radiomic features showed superior predictive performance (area under the curve = 0.854) than that with only clinical features or Visually AcceSAble Rembrandt Images (areas under the curve = 0.514 and 0.648, respectively; P < . 001, both). When both Visually AcceSAble Rembrandt Images and radiomics were added to clinical features, the predictive performance significantly increased (areas under the curve = 0.514 versus 0.863, P < .001). CONCLUSIONS MR imaging features integrated with machine learning classifiers may predict a subset of IDH wild-type lower-grade gliomas that carry molecular features of glioblastoma.
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Affiliation(s)
- C J Park
- From the Department of Radiology (C.J.P.), Yonsei University College of Medicine, Seoul, Korea
| | - K Han
- Department of Radiology (K.H., H.K., S.S.A., Y.W.P., S.-K.L.), Research Institute of Radiological Sciences, Center for Clinical Imaging Data Science
| | - H Kim
- Department of Radiology (K.H., H.K., S.S.A., Y.W.P., S.-K.L.), Research Institute of Radiological Sciences, Center for Clinical Imaging Data Science
| | - S S Ahn
- Department of Radiology (K.H., H.K., S.S.A., Y.W.P., S.-K.L.), Research Institute of Radiological Sciences, Center for Clinical Imaging Data Science
| | - D Choi
- Department of Computer Science (D.C.), Yonsei University, Seoul, Korea
| | - Y W Park
- Department of Radiology (K.H., H.K., S.S.A., Y.W.P., S.-K.L.), Research Institute of Radiological Sciences, Center for Clinical Imaging Data Science
| | | | - S H Kim
- Department of Pathology (S.H.K.), Yonsei University College of Medicine, Seoul, Korea
| | - S Cha
- Department of Radiology and Biomedical Imaging (S.C.), University of California San Francisco, San Francisco, California
| | - S-K Lee
- Department of Radiology (K.H., H.K., S.S.A., Y.W.P., S.-K.L.), Research Institute of Radiological Sciences, Center for Clinical Imaging Data Science
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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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Mata DA, Benhamida JK, Lin AL, Vanderbilt CM, Yang SR, Villafania LB, Ferguson DC, Jonsson P, Miller AM, Tabar V, Brennan CW, Moss NS, Sill M, Benayed R, Mellinghoff IK, Rosenblum MK, Arcila ME, Ladanyi M, Bale TA. Genetic and epigenetic landscape of IDH-wildtype glioblastomas with FGFR3-TACC3 fusions. Acta Neuropathol Commun 2020; 8:186. [PMID: 33168106 PMCID: PMC7653727 DOI: 10.1186/s40478-020-01058-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 10/13/2020] [Indexed: 01/29/2023] Open
Abstract
A subset of glioblastomas (GBMs) harbors potentially druggable oncogenic FGFR3-TACC3 (F3T3) fusions. However, their associated molecular and clinical features are poorly understood. Here we analyze the frequency of F3T3-fusion positivity, its associated genetic and methylation profiles, and its impact on survival in 906 IDH-wildtype GBM patients. We establish an F3T3 prevalence of 4.1% and delineate its associations with cancer signaling pathway alterations. F3T3-positive GBMs had lower tumor mutational and copy-number alteration burdens than F3T3-wildtype GBMs. Although F3T3 fusions were predominantly mutually exclusive with other oncogenic RTK pathway alterations, they did rarely co-occur with EGFR amplification. They were less likely to harbor TP53 alterations. By methylation profiling, they were more likely to be assigned the mesenchymal or RTK II subclass. Despite being older at diagnosis and having similar frequencies of MGMT promoter hypermethylation, patients with F3T3-positive GBMs lived about 8 months longer than those with F3T3-wildtype tumors. While consistent with IDH-wildtype GBM, F3T3-positive GBMs exhibit distinct biological features, underscoring the importance of pursuing molecular studies prior to clinical trial enrollment and targeted treatment.
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Zhang S, Wu S, Wan Y, Ye Y, Zhang Y, Ma Z, Guo Q, Zhang H, Xu L. Development of MR-based preoperative nomograms predicting DNA copy number subtype in lower grade gliomas with prognostic implication. Eur Radiol 2020; 31:2094-2105. [PMID: 33025175 DOI: 10.1007/s00330-020-07350-2] [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: 02/07/2020] [Revised: 08/22/2020] [Accepted: 09/24/2020] [Indexed: 11/28/2022]
Abstract
OBJECTIVES We aimed to determine the value of MR-based preoperative nomograms in predicting DNA copy number (CN) subtype in lower grade glioma (LGG) patients. METHODS The overall survival (OS) data were analyzed. MRI data of 170 subjects were retrospectively analyzed. The correlation was explored by univariate and multivariate regression analysis. RESULTS CN2 subtype was associated with shortest median OS (CN2 subtype vs. others: 46.8 vs. 221.7 months, p < 0.05). The time-dependent receiver operating characteristic for the CN2 subtype was 0.80 (95% CI: 0.74-0.85) for survival at 1 year, 0.80 (95% CI: 0.75-0.85) for survival at 2 years, and 0.77 (95% CI: 0.73-0.83) for survival at 3 years. On multivariate analysis, hemorrhage (OR: 0.118; p < 0.001; 95% CI: 0.037-0.376), poorly defined margin (OR: 4.592; p < 0.001; 95% CI: 1.965-10.730), extranodular growth (OR: 0.247; p = 0.006; 95% CI: 0.091-0.671), and volume ≥ 60 cm3 (OR: 4.734.256; p < 0.001; 95% CI: 2.051-10.924) were associated with CN1 subtype (AUC: 0.781). Proportion CE tumor (OR: 5.905; p = 0.007; 95% CI: 1.622-21.493), extranodular growth (OR: 9.047; p = 0.001; 95% CI: 2.349-34.846), width ≥ median (OR: 0.231; p = 0.049; 95% CI: 0.054-0.998), and depth ≥ median (OR: 0.192; p = 0.023; 95% CI: 0.046-0.799) were associated with CN2 subtype (AUC: 0.854). Necrosis/cystic (OR: 6.128; p = 0.007; 95% CI: 1.635-22.968), hemorrhage (OR: 5.752; p = 0.002; 95% CI: 1.953-16.942), poorly defined margin (OR: 0.164; p < 0.001; 95% CI: 0.063-0.427), and volume ≥ median (OR: 4.422; p < 0.001; 95% CI: 1.925-10.160) were associated with CN3 subtype (AUC: 0.808). All three nomograms showed good discrimination and calibration. Decision curve analysis supported that all nomograms were clinically useful. The average accuracy of the tenfold cross-validation was 0.680 (CN1), 0.794 (CN2), and 0.894 (CN3), respectively. CONCLUSIONS The shortest OS was observed in patients with CN2 subtype. This preliminary radiogenomics analysis revealed that the MR-based preoperative nomograms provide individualized prediction of DNA copy number subtype in LGG patients. KEY POINTS • This preliminary radiogenomics analysis of LGG revealed that the MR-based preoperative nomograms provide individualized prediction of DNA copy number subtype in LGG patients. • The AUC for the ROC curve was 0.781 for CN1 subtype, 0.854 for CN2 subtype, and 0.808 for CN3 subtype. Decision curve analysis supported that all nomograms were clinically useful. • The sensitivity was 0.779 (CN1), 0.731 (CN2), and 0.851 (CN3), respectively. The specificity was 0.664 (CN1), 0.872 (CN2), and 0.625 (CN3), respectively. And the accuracy was 0.717 (CN1), 0.849 (CN2), and 0.692 (CN3), respectively.
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Affiliation(s)
- Siwei Zhang
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine & Guangdong Provincial Hospital of Chinese Medicine, 111 Da De Lu, Guangzhou, 510120, Guangdong Province, People's Republic of China
| | - Shanshan Wu
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine & Guangdong Provincial Hospital of Chinese Medicine, 111 Da De Lu, Guangzhou, 510120, Guangdong Province, People's Republic of China
| | - Yun Wan
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine & Guangdong Provincial Hospital of Chinese Medicine, 111 Da De Lu, Guangzhou, 510120, Guangdong Province, People's Republic of China
| | - Yongsong Ye
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine & Guangdong Provincial Hospital of Chinese Medicine, 111 Da De Lu, Guangzhou, 510120, Guangdong Province, People's Republic of China
| | - Ying Zhang
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine & Guangdong Provincial Hospital of Chinese Medicine, 111 Da De Lu, Guangzhou, 510120, Guangdong Province, People's Republic of China
| | - Zelan Ma
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine & Guangdong Provincial Hospital of Chinese Medicine, 111 Da De Lu, Guangzhou, 510120, Guangdong Province, People's Republic of China
| | - Quanlan Guo
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine & Guangdong Provincial Hospital of Chinese Medicine, 111 Da De Lu, Guangzhou, 510120, Guangdong Province, People's Republic of China
| | - Hongdan Zhang
- Guangdong General Hospital, Guangzhou, People's Republic of China
| | - Li Xu
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine & Guangdong Provincial Hospital of Chinese Medicine, 111 Da De Lu, Guangzhou, 510120, Guangdong Province, People's Republic of China.
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Prieto-Potin I, Carvajal N, Plaza-Sánchez J, Manso R, Aúz-Alexandre CL, Chamizo C, Zazo S, López-Sánchez A, Rodríguez-Pinilla SM, Camacho L, Longarón R, Bellosillo B, Somoza R, Hernández-Losa J, Fernández-Soria VM, Ramos-Ruiz R, Cristóbal I, García-Foncillas J, Rojo F. Validation and clinical application of a targeted next-generation sequencing gene panel for solid and hematologic malignancies. PeerJ 2020; 8:e10069. [PMID: 33083132 PMCID: PMC7546223 DOI: 10.7717/peerj.10069] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 09/09/2020] [Indexed: 01/29/2023] Open
Abstract
Background Next-generation sequencing (NGS) is a high-throughput technology that has become widely integrated in molecular diagnostics laboratories. Among the large diversity of NGS-based panels, the Trusight Tumor 26 (TsT26) enables the detection of low-frequency variants across 26 genes using the MiSeq platform. Methods We describe the inter-laboratory validation and subsequent clinical application of the panel in 399 patients presenting a range of tumor types, including gastrointestinal (GI, 29%), hematologic (18%), lung (13%), gynecological and breast (8% each), among others. Results The panel is highly accurate with a test sensitivity of 92%, and demonstrated high specificity and positive predictive values (95% and 96%, respectively). Sequencing testing was successful in two-thirds of patients, while the remaining third failed due to unsuccessful quality-control filtering. Most detected variants were observed in the TP53 (28%), KRAS (16%), APC (10%) and PIK3CA (8%) genes. Overall, 372 variants were identified, primarily distributed as missense (81%), stop gain (9%) and frameshift (7%) altered sequences and mostly reported as pathogenic (78%) and variants of uncertain significance (19%). Only 14% of patients received targeted treatment based on the variant determined by the panel. The variants most frequently observed in GI and lung tumors were: KRAS c.35G > A (p.G12D), c.35G > T (p.G12V) and c.34G > T (p.G12C). Conclusions Prior panel validation allowed its use in the laboratory daily practice by providing several relevant and potentially targetable variants across multiple tumors. However, this study is limited by high sample inadequacy rate, raising doubts as to continuity in the clinical setting.
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Affiliation(s)
- Iván Prieto-Potin
- Department of Pathology, CIBERONC, UAM, Fundación Jiménez Díaz University Hospital Health Research Institute, Madrid, Spain
| | - Nerea Carvajal
- Department of Pathology, CIBERONC, UAM, Fundación Jiménez Díaz University Hospital Health Research Institute, Madrid, Spain
| | - Jenifer Plaza-Sánchez
- Department of Pathology, CIBERONC, UAM, Fundación Jiménez Díaz University Hospital Health Research Institute, Madrid, Spain
| | - Rebeca Manso
- Department of Pathology, CIBERONC, UAM, Fundación Jiménez Díaz University Hospital Health Research Institute, Madrid, Spain
| | - Carmen Laura Aúz-Alexandre
- Department of Pathology, CIBERONC, UAM, Fundación Jiménez Díaz University Hospital Health Research Institute, Madrid, Spain
| | - Cristina Chamizo
- Department of Pathology, CIBERONC, UAM, Fundación Jiménez Díaz University Hospital Health Research Institute, Madrid, Spain
| | - Sandra Zazo
- Department of Pathology, CIBERONC, UAM, Fundación Jiménez Díaz University Hospital Health Research Institute, Madrid, Spain
| | - Almudena López-Sánchez
- Department of Pathology, CIBERONC, UAM, Fundación Jiménez Díaz University Hospital Health Research Institute, Madrid, Spain
| | | | - Laura Camacho
- Department of Pathology, Hospital Del Mar Medical Research Institute, Barcelona, Spain
| | - Raquel Longarón
- Department of Pathology, Hospital Del Mar Medical Research Institute, Barcelona, Spain
| | - Beatriz Bellosillo
- Department of Pathology, Hospital Del Mar Medical Research Institute, Barcelona, Spain
| | - Rosa Somoza
- Department of Pathology, Vall d'Hebron University Hospital, Barcelona, Spain
| | | | | | | | - Ion Cristóbal
- Translational Oncology Division, UAM, Fundación Jiménez Díaz University Hospital Health Research Institute, Madrid, Spain
| | - Jesús García-Foncillas
- Translational Oncology Division, UAM, Fundación Jiménez Díaz University Hospital Health Research Institute, Madrid, Spain
| | - Federico Rojo
- Department of Pathology, CIBERONC, UAM, Fundación Jiménez Díaz University Hospital Health Research Institute, Madrid, Spain
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37
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Higa N, Akahane T, Yokoyama S, Yonezawa H, Uchida H, Takajo T, Kirishima M, Hamada T, Matsuo K, Fujio S, Hanada T, Hosoyama H, Yonenaga M, Sakamoto A, Hiraki T, Tanimoto A, Yoshimoto K. A tailored next-generation sequencing panel identified distinct subtypes of wildtype IDH and TERT promoter glioblastomas. Cancer Sci 2020; 111:3902-3911. [PMID: 32748499 PMCID: PMC7541004 DOI: 10.1111/cas.14597] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 07/27/2020] [Accepted: 07/29/2020] [Indexed: 12/14/2022] Open
Abstract
Central nervous system tumors are classified based on an integrated diagnosis combining histology and molecular characteristics, including IDH1/2 and H3-K27M mutations, as well as 1p/19q codeletion. Here, we aimed to develop and assess the feasibility of a glioma-tailored 48-gene next-generation sequencing (NGS) panel for integrated glioma diagnosis. We designed a glioma-tailored 48-gene NGS panel for detecting 1p/19q codeletion and mutations in IDH1/2, TP53, PTEN, PDGFRA, NF1, RB1, CDKN2A/B, CDK4, and the TERT promoter (TERTp). We analyzed 106 glioma patients (grade II: 19 cases, grade III: 23 cases, grade IV: 64 cases) using this system. The 1p/19q codeletion was detected precisely in oligodendroglial tumors using our NGS panel. In a cohort of 64 grade Ⅳ gliomas, we identified 56 IDH-wildtype glioblastomas. Within these IDH-wildtype glioblastomas, 33 samples (58.9%) showed a mutation in TERTp. Notably, PDGFRA mutations and their amplification were more commonly seen in TERTp-wildtype glioblastomas (43%) than in TERTp-mutant glioblastomas (6%) (P = .001). Hierarchical molecular classification of IDH-wildtype glioblastomas revealed 3 distinct groups of IDH-wildtype glioblastomas. One major cluster was characterized by mutations in PDGFRA, amplification of CDK4 and PDGFRA, homozygous deletion of CDKN2A/B, and absence of TERTp mutations. This cluster was significantly associated with older age (P = .021), higher Ki-67 score (P = .007), poor prognosis (P = .012), and a periventricular tumor location. We report the development of a glioma-tailored NGS panel for detecting 1p/19q codeletion and driver gene mutations on a single platform. Our panel identified distinct subtypes of IDH- and TERTp-wildtype glioblastomas with frequent PDGFRA alterations.
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Affiliation(s)
- Nayuta Higa
- Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Toshiaki Akahane
- Department of Pathology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.,Center for Human Genome and Gene Analysis, Kagoshima University Hospital, Kagoshima, Japan
| | - Seiya Yokoyama
- Department of Pathology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Hajime Yonezawa
- Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Hiroyuki Uchida
- Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Tomoko Takajo
- Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Mari Kirishima
- Department of Pathology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Taiji Hamada
- Department of Pathology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Kei Matsuo
- Department of Pathology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Shingo Fujio
- Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Tomoko Hanada
- Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Hiroshi Hosoyama
- Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Masanori Yonenaga
- Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Akihisa Sakamoto
- Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Tsubasa Hiraki
- Department of Pathology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Akihide Tanimoto
- Department of Pathology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.,Center for Human Genome and Gene Analysis, Kagoshima University Hospital, Kagoshima, Japan
| | - Koji Yoshimoto
- Department of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
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38
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Dias-Santagata D, Lennerz JK, Sadow PM, Frazier RP, Govinda Raju S, Henry D, Chung T, Kherani J, Rothenberg SM, Wirth LJ. Response to RET-Specific Therapy in RET Fusion-Positive Anaplastic Thyroid Carcinoma. Thyroid 2020; 30:1384-1389. [PMID: 32292131 PMCID: PMC7482117 DOI: 10.1089/thy.2019.0477] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Background: Anaplastic thyroid carcinoma (ATC) remains one of the most challenging malignancies to treat in the modern era. Most patients present with or develop recurrent/metastatic incurable disease with poor response rates to conventional chemotherapy, and life expectancy is short. Next-generation sequencing (NGS) can be leveraged in ATC to identify oncogenic alterations that can be targeted with molecularly specific therapy, offering new effective treatment options to a subset of patients. Patient Findings: A 73-year-old man presenting with locally advanced papillary thyroid carcinoma containing a minor component of ATC was treated with surgery and iodine-131. He developed biopsy-confirmed ATC distant metastases that progressed on cytotoxic chemotherapy. NGS revealed several alterations, including a CCDC6-RET gene fusion. The patient enrolled in LIBRETTO-001, a phase I/II trial of the potent and specific RET inhibitor, LOXO-292. The patient tolerated LOXO-292 well and experienced a deep and durable partial response, ongoing beyond 19 months. Conclusion: This clinically significant response achieved with LOXO-292 in a patient with a CCDC6-RET fusion-positive ATC who had exhausted conventional treatment options highlights the importance of conducting tumor genomic profiling in patients with ATC to identify uncommon but actionable genomic alterations, such as RET gene fusions.
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Affiliation(s)
- Dora Dias-Santagata
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jochen K. Lennerz
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Peter M. Sadow
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Ryan P. Frazier
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | | | | | | | | | - Lori J. Wirth
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Address correspondence to: Lori J. Wirth, MD, Massachusetts General Hospital Cancer Center, Yawkey 7B, 55 Fruit Street, Boston, MA 02114, USA
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39
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Petersen JK, Boldt HB, Sørensen MD, Blach S, Dahlrot RH, Hansen S, Burton M, Thomassen M, Kruse T, Poulsen FR, Andreasen L, Hager H, Ulhøi BP, Lukacova S, Reifenberger G, Kristensen BW. Targeted next-generation sequencing of adult gliomas for retrospective prognostic evaluation and up-front diagnostics. Neuropathol Appl Neurobiol 2020; 47:108-126. [PMID: 32696543 DOI: 10.1111/nan.12645] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 06/25/2020] [Accepted: 07/13/2020] [Indexed: 01/03/2023]
Abstract
AIMS We aimed to reclassify a population-based cohort of 529 adult glioma patients to evaluate the prognostic impact of the 2016 World Health Organization (WHO) central nervous system tumour classification. Moreover, we evaluated the feasibility of gene panel next-generation sequencing (NGS) in daily diagnostics of 225 prospective glioma patients. METHODS The retrospective cohort was reclassified according to WHO 2016 criteria by immunohistochemistry for IDH-R132H, fluorescence in situ hybridization for 1p/19q-codeletion and gene panel NGS. All tumours of the prospective cohort were subjected to NGS analysis up-front. RESULTS The entire population-based cohort was successfully reclassified according to WHO 2016 criteria. NGS results were obtained for 98% of the prospective patients. Survival analyses in the population-based cohort confirmed three major prognostic subgroups, that is, isocitrate dehydrogenase (IDH)-mutant and 1p/19q-codeleted oligodendrogliomas, IDH-mutant astrocytomas and IDH-wildtype glioblastomas. The distinction between WHO grade II and III was prognostic in patients with IDH-mutant astrocytoma. The survival of patients with IDH-wildtype diffuse astrocytomas carrying TERT promoter mutation and/or EGFR amplification overlapped with the poor survival of IDH-wildtype glioblastoma patients. CONCLUSIONS Gene panel NGS proved feasible in daily diagnostics. In addition, our study confirms the prognostic role of glioma classification according to WHO 2016 in a large population-based cohort. Molecular features of glioblastoma in IDH-wildtype diffuse glioma were linked to poor survival corresponding to IDH-wildtype glioblastoma patients. The distinction between WHO grade II and III retained prognostic significance in patients with IDH-mutant diffuse astrocytic gliomas.
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Affiliation(s)
- J K Petersen
- Department of Pathology, Odense University Hospital, Odense, Denmark.,Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - H B Boldt
- Department of Pathology, Odense University Hospital, Odense, Denmark.,Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - M D Sørensen
- Department of Pathology, Odense University Hospital, Odense, Denmark.,Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - S Blach
- Department of Pathology, Odense University Hospital, Odense, Denmark
| | - R H Dahlrot
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark.,Department of Oncology, Odense University Hospital, Odense, Denmark
| | - S Hansen
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark.,Department of Oncology, Odense University Hospital, Odense, Denmark
| | - M Burton
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - M Thomassen
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark.,Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - T Kruse
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark.,Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - F R Poulsen
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark.,Department of Neurosurgery, Odense University Hospital, Odense, Denmark
| | - L Andreasen
- Department of Pathology, Vejle Hospital, Vejle, Denmark
| | - H Hager
- Department of Pathology, Vejle Hospital, Vejle, Denmark
| | - B P Ulhøi
- Department of Pathology, Aarhus University Hospital, Aarhus, Denmark
| | - S Lukacova
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - G Reifenberger
- Institute of Neuropathology, Heinrich Heine University, Düsseldorf, Germany.,German Cancer Consortium (DKTK), Partner site Essen/Düsseldorf, Düsseldorf, Germany
| | - B W Kristensen
- Department of Pathology, Odense University Hospital, Odense, Denmark.,Department of Clinical Research, University of Southern Denmark, Odense, Denmark
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40
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Diffusion and perfusion MRI may predict EGFR amplification and the TERT promoter mutation status of IDH-wildtype lower-grade gliomas. Eur Radiol 2020; 30:6475-6484. [PMID: 32785770 DOI: 10.1007/s00330-020-07090-3] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 07/02/2020] [Accepted: 07/20/2020] [Indexed: 12/20/2022]
Abstract
OBJECTIVES Epidermal growth factor receptor (EGFR) amplification and telomerase reverse transcriptase promoter (TERTp) mutation status of isocitrate dehydrogenase-wildtype (IDHwt) lower-grade gliomas (LGGs; grade II/III) are crucial for identifying IDHwt LGG with an aggressive clinical course. The purpose of this study was to assess whether parameters from diffusion tensor imaging, dynamic susceptibility contrast (DSC), and diffusion tensor imaging, dynamic contrast-enhanced imaging can predict the EGFR amplification and TERTp mutation status of IDHwt LGGs. METHODS A total of 49 patients with IDHwt LGGs with either known EGFR amplification (39 non-amplified, 10 amplified) or TERTp mutation (19 wildtype, 21 mutant) statuses underwent MRI. The mean ADC, fractional anisotropy (FA), normalized cerebral blood volume (nCBV), normalized cerebral blood flow (nCBF), volume transfer constant (Ktrans), rate transfer coefficient (Kep), extravascular extracellular volume fraction (Ve), and plasma volume fraction (Vp) values were assessed. Univariate and multivariate logistic regression models were constructed. RESULTS EGFR-amplified tumors showed lower mean ADC values than EGFR-non-amplified tumors (p = 0.019). Mean ADC was an independent predictor of EGFR amplification, with an AUC of 0.75. TERTp mutant tumors showed higher mean nCBV (p = 0.020), higher mean nCBF (p = 0.017), and higher mean Vp (p = 0.002) than TERTp wildtype tumors. With multivariate logistic regression, mean Vp was the independent predictor of TERTp mutation status, with an AUC of 0.85. CONCLUSION This exploratory pilot study shows that lower ADC values may be useful for prediction of EGFR amplification, whereas higher Vp values may be useful for prediction of the TERTp mutation status of IDHwt LGGs. KEY POINTS • EGFR amplification and TERTp mutation are key molecular markers that predict an aggressive clinical course of IDHwt LGGs. • EGFR-amplified tumors showed lower ADC values than EGFR-non-amplified tumors, suggesting higher cellularity. • TERTp mutant tumors showed a higher plasma volume fraction than TERTp wildtype tumors, suggesting higher vascular proliferation and tumor angiogenesis.
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41
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French PJ, Eoli M, Sepulveda JM, de Heer I, Kros JM, Walenkamp A, Frenel JS, Franceschi E, Clement PM, Weller M, Ansell P, Looman J, Bain E, Morfouace M, Gorlia T, van den Bent M. Defining EGFR amplification status for clinical trial inclusion. Neuro Oncol 2020; 21:1263-1272. [PMID: 31125418 PMCID: PMC6784284 DOI: 10.1093/neuonc/noz096] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Background Precision medicine trials targeting the epidermal growth factor receptor (EGFR) in glioblastoma patients require selection for EGFR-amplified tumors. However, there is currently no gold standard in determining the amplification status of EGFR or variant III (EGFRvIII) expression. Here, we aimed to determine which technique and which cutoffs are suitable to determine EGFR amplification status. Methods We compared fluorescence in-situ hybridization (FISH) and real-time quantitative (RT-q)PCR data from patients screened for trial inclusion into the Intellance 2 clinical trial, with data from a panel-based next generation sequencing (NGS) platform (both DNA and RNA). Results By using data from >1000 samples, we show that at least 50% of EGFR amplified nuclei should be present to define EGFR gene amplification by FISH. Gene amplification (as determined by FISH) correlates with EGFR expression levels (as determined by RT-qPCR) with receiver operating characteristics analysis showing an area under the curve of up to 0.902. EGFR expression as assessed by RT-qPCR therefore may function as a surrogate marker for EGFR amplification. Our NGS data show that EGFR copy numbers can strongly vary between tumors, with levels ranging from 2 to more than 100 copies per cell. Levels exceeding 5 gene copies can be used to define EGFR-amplification by NGS; below this level, FISH detects very few (if any) EGFR amplified nuclei and none of the samples express EGFRvIII. Conclusion Our data from central laboratories and diagnostic sequencing facilities, using material from patients eligible for clinical trial inclusion, help define the optimal cutoff for various techniques to determine EGFR amplification for diagnostic purposes.
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Affiliation(s)
- Pim J French
- Department of Neurology, Erasmus Medical Center Cancer Institute, Rotterdam, Netherlands
| | - Marica Eoli
- Carlo Besta Neurological Institute, Milan, Italy
| | | | - Iris de Heer
- Department of Neurology, Erasmus Medical Center Cancer Institute, Rotterdam, Netherlands
| | - Johan M Kros
- Department of Pathology, Erasmus Medical Center Cancer Institute, Rotterdam, Netherlands
| | | | | | - Enrico Franceschi
- Azienda USL/IRCCS Institute of Neurological Sciences, Bologna, Italy
| | | | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | | | | | | | - Marie Morfouace
- European Organisation for Research and Treatment of Cancer (EORTC) Headquarters, Brussels, Belgium
| | - Thierry Gorlia
- European Organisation for Research and Treatment of Cancer (EORTC) Headquarters, Brussels, Belgium
| | - Martin van den Bent
- Department of Neurology, Erasmus Medical Center Cancer Institute, Rotterdam, Netherlands
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42
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Kim N, Kim SH, Kang SG, Moon JH, Cho J, Suh CO, In Yoon H, Chang JH. ATM mutations improve radio-sensitivity in wild-type isocitrate dehydrogenase-associated high-grade glioma: retrospective analysis using next-generation sequencing data. Radiat Oncol 2020; 15:184. [PMID: 32736562 PMCID: PMC7393839 DOI: 10.1186/s13014-020-01619-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Accepted: 07/13/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND To identify the association between somatic ataxia-telangiectasia mutated (ATM) mutations and improved radio-sensitivity, we retrospectively reviewed next-generation sequencing data from patients diagnosed with isocitrate dehydrogenase (IDH)-wildtype high-grade glioma. METHODS We included 39 individuals with (IDH)-wildtype high-grade glioma (diffuse astrocytoma n = 2, anaplastic astrocytoma n = 10, and glioblastoma n = 27) not subjected to gross tumor resection and undergoing radiation therapy with a median total dose of 60 Gy in 30 fractions. The mutational status of the ATM gene was obtained through next-generation sequencing using a TruSight Tumor 170 cancer panel. Disease progression was defined according to the Response Assessment in Neuro-Oncology (RANO) criteria as well as neurologic and clinical findings. RESULTS Among the 39 samples, ATM mutations (ATM mut(+)) were detected in 26% of cases (n = 10). No significant differences were observed in the characteristics of the patients or tumors. Among the 10 patients in the ATM mut(+) group, there were 6 patients with glioblastoma and 4 patients with anaplastic astrocytoma. Most mutations were missense mutations (n = 8, 80%). With a median follow-up of 16.5 mo (interquartile range, 11.4-19.8), ATM mut(+) exhibited 1-year in-field control of 100% compared with 44.1% in the ATM mut(-) group (p = 0.002). There was no difference in the out-field control rate or overall survival between the two groups (p = 0.861 and p = 0.247, respectively). CONCLUSIONS Our results demonstrated that ATM mutations might be involved in the increased radio-sensitivity with excellent in-field control despite the aggressive nature of IDH-wildtype high-grade glioma. Further studies are necessary to uncover the potential role of ATM as a biomarker and candidate therapeutic target in high-grade gliomas.
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Affiliation(s)
- Nalee Kim
- Department of Radiation Oncology, Yonsei Cancer Center, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.,Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Se Hoon Kim
- Department of Pathology, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.,Brain Tumor Center, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Seok-Gu Kang
- Brain Tumor Center, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.,Department of Neurosurgery, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Ju Hyung Moon
- Brain Tumor Center, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.,Department of Neurosurgery, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Jaeho Cho
- Department of Radiation Oncology, Yonsei Cancer Center, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.,Brain Tumor Center, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Chang-Ok Suh
- Department of Radiation Oncology, CHA Bundang Medical Center, CHA University, Gyeonggi-Do, Republic of Korea
| | - Hong In Yoon
- Department of Radiation Oncology, Yonsei Cancer Center, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea. .,Brain Tumor Center, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
| | - Jong Hee Chang
- Brain Tumor Center, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea. .,Department of Neurosurgery, Severance Hospital, Yonsei University Health System, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
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Wang L, Yekula A, Muralidharan K, Small JL, Rosh ZS, Kang KM, Carter BS, Balaj L. Novel Gene Fusions in Glioblastoma Tumor Tissue and Matched Patient Plasma. Cancers (Basel) 2020; 12:cancers12051219. [PMID: 32414213 PMCID: PMC7281415 DOI: 10.3390/cancers12051219] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 04/27/2020] [Accepted: 05/07/2020] [Indexed: 11/30/2022] Open
Abstract
Sequencing studies have provided novel insights into the heterogeneous molecular landscape of glioblastoma (GBM), unveiling a subset of patients with gene fusions. Tissue biopsy is highly invasive, limited by sampling frequency and incompletely representative of intra-tumor heterogeneity. Extracellular vesicle-based liquid biopsy provides a minimally invasive alternative to diagnose and monitor tumor-specific molecular aberrations in patient biofluids. Here, we used targeted RNA sequencing to screen GBM tissue and the matched plasma of patients (n = 9) for RNA fusion transcripts. We identified two novel fusion transcripts in GBM tissue and five novel fusions in the matched plasma of GBM patients. The fusion transcripts FGFR3-TACC3 and VTI1A-TCF7L2 were detected in both tissue and matched plasma. A longitudinal follow-up of a GBM patient with a FGFR3-TACC3 positive glioma revealed the potential of monitoring RNA fusions in plasma. In summary, we report a sensitive RNA-seq-based liquid biopsy strategy to detect RNA level fusion status in the plasma of GBM patients.
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Affiliation(s)
- Lan Wang
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA; (L.W.); (A.Y.); (K.M.); (J.L.S.); (Z.S.R.); (K.M.K.)
| | - Anudeep Yekula
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA; (L.W.); (A.Y.); (K.M.); (J.L.S.); (Z.S.R.); (K.M.K.)
| | - Koushik Muralidharan
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA; (L.W.); (A.Y.); (K.M.); (J.L.S.); (Z.S.R.); (K.M.K.)
| | - Julia L. Small
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA; (L.W.); (A.Y.); (K.M.); (J.L.S.); (Z.S.R.); (K.M.K.)
| | - Zachary S. Rosh
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA; (L.W.); (A.Y.); (K.M.); (J.L.S.); (Z.S.R.); (K.M.K.)
| | - Keiko M. Kang
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA; (L.W.); (A.Y.); (K.M.); (J.L.S.); (Z.S.R.); (K.M.K.)
- School of Medicine, University of California San Diego, San Diego, CA 92092, USA
| | - Bob S. Carter
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA; (L.W.); (A.Y.); (K.M.); (J.L.S.); (Z.S.R.); (K.M.K.)
- Correspondence: (B.S.C.); (L.B.)
| | - Leonora Balaj
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA; (L.W.); (A.Y.); (K.M.); (J.L.S.); (Z.S.R.); (K.M.K.)
- Correspondence: (B.S.C.); (L.B.)
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D'Haene N, Meléndez B, Blanchard O, De Nève N, Lebrun L, Van Campenhout C, Salmon I. Design and Validation of a Gene-Targeted, Next-Generation Sequencing Panel for Routine Diagnosis in Gliomas. Cancers (Basel) 2019; 11:cancers11060773. [PMID: 31167453 PMCID: PMC6627812 DOI: 10.3390/cancers11060773] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 05/17/2019] [Accepted: 05/31/2019] [Indexed: 01/06/2023] Open
Abstract
The updated 2016 World Health Organization (WHO) classification system for gliomas integrates molecular alterations and histology to provide a greater diagnostic and prognostic utility than the previous, histology-based classification. The increasing number of markers that are tested in a correct diagnostic procedure makes gene-targeted, next-generation sequencing (NGS) a powerful tool in routine pathology practice. We designed a 14-gene NGS panel specifically aimed at the diagnosis of glioma, which allows simultaneous detection of mutations and copy number variations, including the 1p/19q-codeletion and Epidermal Growth Factor Receptor (EGFR) amplification. To validate this panel, we used reference mutated DNAs, nontumor and non-glioma samples, and 52 glioma samples that were previously characterized. The panel was then prospectively applied to 91 brain lesions. A specificity of 100% and sensitivity of 99.4% was achieved for mutation detection. Orthogonal methods, such as in situ hybridization and immunohistochemical techniques, were used for validation, which showed high concordance. The molecular alterations that were identified allowed diagnosis according to the updated WHO criteria, and helped in the differential diagnosis of difficult cases. This NGS panel is an accurate and sensitive method, which could replace multiple tests for the same sample. Moreover, it is a rapid and cost-effective approach that can be easily implemented in the routine diagnosis of gliomas.
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Affiliation(s)
- Nicky D'Haene
- Department of Pathology, Erasme Hospital, Université Libre de Bruxelles, 1070 Brussels, Belgium.
| | - Bárbara Meléndez
- Department of Pathology, Erasme Hospital, Université Libre de Bruxelles, 1070 Brussels, Belgium.
| | - Oriane Blanchard
- Department of Pathology, Erasme Hospital, Université Libre de Bruxelles, 1070 Brussels, Belgium.
| | - Nancy De Nève
- Department of Pathology, Erasme Hospital, Université Libre de Bruxelles, 1070 Brussels, Belgium.
| | - Laetitia Lebrun
- Department of Pathology, Erasme Hospital, Université Libre de Bruxelles, 1070 Brussels, Belgium.
| | - Claude Van Campenhout
- Department of Pathology, Erasme Hospital, Université Libre de Bruxelles, 1070 Brussels, Belgium.
| | - Isabelle Salmon
- Department of Pathology, Erasme Hospital, Université Libre de Bruxelles, 1070 Brussels, Belgium.
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