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Choate KA, Pratt EPS, Jennings MJ, Winn RJ, Mann PB. IDH Mutations in Glioma: Molecular, Cellular, Diagnostic, and Clinical Implications. BIOLOGY 2024; 13:885. [PMID: 39596840 PMCID: PMC11592129 DOI: 10.3390/biology13110885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Revised: 10/21/2024] [Accepted: 10/28/2024] [Indexed: 11/29/2024]
Abstract
In 2021, the World Health Organization classified isocitrate dehydrogenase (IDH) mutant gliomas as a distinct subgroup of tumors with genetic changes sufficient to enable a complete diagnosis. Patients with an IDH mutant glioma have improved survival which has been further enhanced by the advent of targeted therapies. IDH enzymes contribute to cellular metabolism, and mutations to specific catalytic residues result in the neomorphic production of D-2-hydroxyglutarate (D-2-HG). The accumulation of D-2-HG results in epigenetic alterations, oncogenesis and impacts the tumor microenvironment via immunological modulations. Here, we summarize the molecular, cellular, and clinical implications of IDH mutations in gliomas as well as current diagnostic techniques.
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Affiliation(s)
- Kristian A. Choate
- Upper Michigan Brain Tumor Center, Northern Michigan University, Marquette, MI 49855, USA; (K.A.C.); (E.P.S.P.); (M.J.J.); (R.J.W.)
| | - Evan P. S. Pratt
- Upper Michigan Brain Tumor Center, Northern Michigan University, Marquette, MI 49855, USA; (K.A.C.); (E.P.S.P.); (M.J.J.); (R.J.W.)
- Department of Chemistry, Northern Michigan University, Marquette, MI 49855, USA
| | - Matthew J. Jennings
- Upper Michigan Brain Tumor Center, Northern Michigan University, Marquette, MI 49855, USA; (K.A.C.); (E.P.S.P.); (M.J.J.); (R.J.W.)
- School of Clinical Sciences, Northern Michigan University, Marquette, MI 49855, USA
| | - Robert J. Winn
- Upper Michigan Brain Tumor Center, Northern Michigan University, Marquette, MI 49855, USA; (K.A.C.); (E.P.S.P.); (M.J.J.); (R.J.W.)
- Department of Biology, Northern Michigan University, Marquette, MI 49855, USA
| | - Paul B. Mann
- Upper Michigan Brain Tumor Center, Northern Michigan University, Marquette, MI 49855, USA; (K.A.C.); (E.P.S.P.); (M.J.J.); (R.J.W.)
- School of Clinical Sciences, Northern Michigan University, Marquette, MI 49855, USA
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2
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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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3
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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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4
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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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Maekawa M. Analysis of Metabolic Changes in Endogenous Metabolites and Diagnostic Biomarkers for Various Diseases Using Liquid Chromatography and Mass Spectrometry. Biol Pharm Bull 2024; 47:1087-1105. [PMID: 38825462 DOI: 10.1248/bpb.b24-00073] [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] [Indexed: 06/04/2024]
Abstract
Analysis of endogenous metabolites in various diseases is useful for searching diagnostic biomarkers and elucidating the molecular mechanisms of pathophysiology. The author and collaborators have developed some LC/tandem mass spectrometry (LC/MS/MS) methods for metabolites and applied them to disease-related samples. First, we identified urinary conjugated cholesterol metabolites and serum N-palmitoyl-O-phosphocholine serine as useful biomarkers for Niemann-Pick disease type C (NPC). For the purpose of intraoperative diagnosis of glioma patients, we developed the LC/MS/MS analysis methods for 2-hydroxyglutaric acid or cystine and found that they could be good differential biomarkers. For renal cell carcinoma, we searched for various biomarkers for early diagnosis, malignancy evaluation and recurrence prediction by global metabolome analysis and targeted LC/MS/MS analysis. In pathological analysis, we developed a simultaneous LC/MS/MS analysis method for 13 steroid hormones and applied it to NPC cells, we found 6 types of reductions in NPC model cells. For non-alcoholic steatohepatitis (NASH), model mice were prepared with special diet and plasma bile acids were measured, and as a result, hydrophilic bile acids were significantly increased. In addition, we developed an LC/MS/MS method for 17 sterols and analyzed liver cholesterol metabolites and found a decrease in phytosterols and cholesterol synthetic markers and an increase in non-enzymatic oxidative sterols in the pre-onset stage of NASH. We will continue to challenge themselves to add value to clinical practice based on cutting-edge analytical chemistry methodology.
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Kim GJ, Lee T, Ahn S, Uh Y, Kim SH. Efficient diagnosis of IDH-mutant gliomas: 1p/19qNET assesses 1p/19q codeletion status using weakly-supervised learning. NPJ Precis Oncol 2023; 7:94. [PMID: 37717080 PMCID: PMC10505231 DOI: 10.1038/s41698-023-00450-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 09/05/2023] [Indexed: 09/18/2023] Open
Abstract
Accurate identification of molecular alterations in gliomas is crucial for their diagnosis and treatment. Although, fluorescence in situ hybridization (FISH) allows for the observation of diverse and heterogeneous alterations, it is inherently time-consuming and challenging due to the limitations of the molecular method. Here, we report the development of 1p/19qNET, an advanced deep-learning network designed to predict fold change values of 1p and 19q chromosomes and classify isocitrate dehydrogenase (IDH)-mutant gliomas from whole-slide images. We trained 1p/19qNET on next-generation sequencing data from a discovery set (DS) of 288 patients and utilized a weakly-supervised approach with slide-level labels to reduce bias and workload. We then performed validation on an independent validation set (IVS) comprising 385 samples from The Cancer Genome Atlas, a comprehensive cancer genomics resource. 1p/19qNET outperformed traditional FISH, achieving R2 values of 0.589 and 0.547 for the 1p and 19q arms, respectively. As an IDH-mutant glioma classifier, 1p/19qNET attained AUCs of 0.930 and 0.837 in the DS and IVS, respectively. The weakly-supervised nature of 1p/19qNET provides explainable heatmaps for the results. This study demonstrates the successful use of deep learning for precise determination of 1p/19q codeletion status and classification of IDH-mutant gliomas as astrocytoma or oligodendroglioma. 1p/19qNET offers comparable results to FISH and provides informative spatial information. This approach has broader applications in tumor classification.
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Affiliation(s)
- Gi Jeong Kim
- Department of Pathology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
- Department of Medicine, Yonsei University Graduate School, Seoul, Republic of Korea
| | - Tonghyun Lee
- Department of Artificial Intelligence, Yonsei University College of Computing, Seoul, Republic of Korea
| | - Sangjeong Ahn
- Department of Pathology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Youngjung Uh
- Department of Artificial Intelligence, Yonsei University College of Computing, Seoul, Republic of Korea.
| | - Se Hoon Kim
- Department of Pathology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
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Repaci A, Salituro N, Vicennati V, Monari F, Cavicchi O, de Biase D, Ciarrocchi A, Acquaviva G, De Leo A, Gruppioni E, Pagotto U, Tallini G. Unexpected Widespread Bone Metastases from a BRAF K601N Mutated Follicular Thyroid Carcinoma within a Previously Resected Multinodular Goiter. Endocr Pathol 2022; 33:519-524. [PMID: 34843063 DOI: 10.1007/s12022-021-09698-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/26/2021] [Indexed: 02/05/2023]
Abstract
Follicular thyroid carcinoma (FTC) represents the second most common malignant thyroid neoplasm after papillary carcinoma (PTC). FTC is characterized by the tendency to metastasize to distant sites such as bone and lung. In the last 20 years, the understanding of the molecular pathology of thyroid tumors has greatly improved. Uncommon BRAF non-V600E mutations have been identified and are generally believed to associate with follicular patterned tumors of low malignant potential, particularly non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTPs) (i.e., non-invasive encapsulated follicular variant PTC). We here report for the first time widespread bone metastases from a BRAF K601N mutated follicular tumor.
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Affiliation(s)
- Andrea Repaci
- Division of Endocrinology and Diabetes Prevention and Care, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy.
| | - Nicola Salituro
- Division of Endocrinology and Diabetes Prevention and Care, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy
| | - Valentina Vicennati
- Division of Endocrinology and Diabetes Prevention and Care, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy
| | - Fabio Monari
- Radiotherapy Unit, Policlinico Di Sant'Orsola, University of Bologna, Bologna, Italy
| | - Ottavio Cavicchi
- Department of Otolaryngology, Policlinico Di Sant'Orsola, University of Bologna, Bologna, Italy
| | - Dario de Biase
- Department of Pharmacy and Biotechnology (FaBit), Molecular Diagnostic Unit, University of Bologna, Azienda USL Di Bologna, Bologna, Italy
| | - Alessia Ciarrocchi
- Laboratory of Translational Research, Azienda Unità Sanitaria Locale-IRCCS Di Reggio Emilia, Reggio Emilia, Italy
| | - Giorgia Acquaviva
- Department of Experimental, Diagnostic and Specialty Medicine, Anatomic Pathology - Molecular Diagnostic Unit, University of Bologna, Azienda USL Di Bologna, Bologna, Italy
| | - Antonio De Leo
- Department of Experimental, Diagnostic and Specialty Medicine, Anatomic Pathology - Molecular Diagnostic Unit, University of Bologna, Azienda USL Di Bologna, Bologna, Italy
| | - Elisa Gruppioni
- Department of Pathology, Azienda Ospedaliero-Universitaria Di Bologna IRCCS Policlinico S.Orsola-Malpighi, Bologna, Italy
| | - Uberto Pagotto
- Division of Endocrinology and Diabetes Prevention and Care, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy
| | - Giovanni Tallini
- Department of Experimental, Diagnostic and Specialty Medicine, Anatomic Pathology - Molecular Diagnostic Unit, University of Bologna, Azienda USL Di Bologna, Bologna, Italy
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8
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Pallavajjala A, Haley L, Stinnett V, Adams E, Pallavajjala R, Huang J, Morsberger L, Hardy M, Long P, Gocke CD, Eshleman JR, Rodriguez FJ, Zou YS. 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: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [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 predict 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 247 consecutive patients with formalin-fixed paraffin-embedded brain tumors with various subtypes, NGS revealed 1p/19q co-deletion in 26 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 11 nonoligodendrogliomas. 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 nonoligodendroglioma 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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Affiliation(s)
- Aparna Pallavajjala
- Johns Hopkins Genomics, USA; Department of Pathology, Johns Hopkins University School of Medicine, USA
| | - Lisa Haley
- Johns Hopkins Genomics, USA; Department of Pathology, Johns Hopkins University School of Medicine, USA
| | - Victoria Stinnett
- Johns Hopkins Genomics, USA; Department of Pathology, Johns Hopkins University School of Medicine, USA; Cytogenetics Laboratory, Johns Hopkins University Hospital, Baltimore, MD, 21205, USA
| | - Emily Adams
- Johns Hopkins Genomics, USA; Department of Pathology, Johns Hopkins University School of Medicine, USA
| | | | - Jialing Huang
- Department of Pathology, Thomas Jefferson University, 132 South 10th Street, Main Building, Philadelphia, PA, 1910, USA
| | - Laura Morsberger
- Johns Hopkins Genomics, USA; Department of Pathology, Johns Hopkins University School of Medicine, USA; Cytogenetics Laboratory, Johns Hopkins University Hospital, Baltimore, MD, 21205, USA
| | - Melanie Hardy
- Johns Hopkins Genomics, USA; Department of Pathology, Johns Hopkins University School of Medicine, USA; Cytogenetics Laboratory, Johns Hopkins University Hospital, Baltimore, MD, 21205, USA
| | - Patty Long
- Johns Hopkins Genomics, USA; Department of Pathology, Johns Hopkins University School of Medicine, USA; Cytogenetics Laboratory, Johns Hopkins University Hospital, Baltimore, MD, 21205, USA
| | - Christopher D Gocke
- Johns Hopkins Genomics, USA; Department of Pathology, Johns Hopkins University School of Medicine, USA
| | - James R Eshleman
- Johns Hopkins Genomics, USA; Department of Pathology, Johns Hopkins University School of Medicine, USA; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Fausto J Rodriguez
- Johns Hopkins Genomics, USA; Department of Pathology, Johns Hopkins University School of Medicine, USA
| | - Ying S Zou
- Johns Hopkins Genomics, USA; Department of Pathology, Johns Hopkins University School of Medicine, USA; Cytogenetics Laboratory, Johns Hopkins University Hospital, Baltimore, MD, 21205, USA.
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