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Wen Y, Chen X, Li R, Xie H, Zhi S, Wang K, Yi S, Liang W, Hu H, Rao S, Gao X. A novel prognostic risk-scoring system based on m 5C methylation regulator-mediated patterns for glioma patients. MOLECULAR THERAPY. ONCOLOGY 2024; 32:200790. [PMID: 38595980 PMCID: PMC10965830 DOI: 10.1016/j.omton.2024.200790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 03/01/2024] [Indexed: 04/11/2024]
Abstract
N5-methylcytosine (m5C) methylation modification plays a crucial role in the epigenetic mechanisms underlying tumorigenesis, aggressiveness, and malignancy in diffuse glioma. Our study aimed to develop a novel prognostic risk-scoring system to assess the impact of m5C modification in glioma patients. Initially, we identified two distinct m5C clusters based on the expression level of m5C regulators in The Cancer Genome Atlas glioblastoma (TCGA-GBM) dataset. Differentially expressed genes (DEGs) between the two m5C cluster groups were determined. Utilizing these m5C regulation-related DEGs, we classified glioma patients into three gene cluster groups: A, B, and C. Subsequently, an m5C scoring system was developed through a univariate Cox regression model, quantifying the m5C modification patterns utilizing six DEGs associated with disease prognosis. The resulting scoring system allowed us to categorize patients into high- or low-risk groups based on their m5C scores. In test (TCGA-GBM) and validation (Chinese Glioma Genome Atlas [CGGA]-1018 and CGGA-301) datasets, glioma patients with a higher m5C score consistently exhibited shorter survival durations, fewer isocitrate dehydrogenase (IDH) mutations, less 1p/19q codeletion and higher World Health Organization (WHO) grades. Additionally, distinct immune cell infiltration characteristics were observed among different m5C cluster groups and risk groups. Our study developed a novel prognostic scoring system based on m5C modification patterns for glioma patients, complementing existing molecular classifications and providing valuable insights into prognosis for glioma patients.
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Affiliation(s)
- Yutong Wen
- Department of Neurology, Zhujiang Hospital of Southern Medical University, 253 Gongye Avenue, Guangzhou, Guangdong 510282, P.R. China
| | - Xiaotong Chen
- Department of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou 350122, China
- Key Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China
| | - Runtong Li
- Department of Neurology, Zhujiang Hospital of Southern Medical University, 253 Gongye Avenue, Guangzhou, Guangdong 510282, P.R. China
| | - Haiting Xie
- Department of Neurology, Zhujiang Hospital of Southern Medical University, 253 Gongye Avenue, Guangzhou, Guangdong 510282, P.R. China
| | - Shuai Zhi
- Department of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou 350122, China
- Key Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China
| | - Kaitao Wang
- Department of Neurology, Zhujiang Hospital of Southern Medical University, 253 Gongye Avenue, Guangzhou, Guangdong 510282, P.R. China
| | - Shang Yi
- Department of Neurology, Zhujiang Hospital of Southern Medical University, 253 Gongye Avenue, Guangzhou, Guangdong 510282, P.R. China
| | - Wen Liang
- Department of Radiology, Zhujiang Hospital of Southern Medical University, 253 Gongye Avenue, Guangzhou, Guangdong 510282, P.R. China
| | - Haiyan Hu
- Department of Oncology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai 200233, P.R. China
| | - Shitao Rao
- Department of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou 350122, China
- Key Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China
| | - Xiaoya Gao
- Department of Neurology, Zhujiang Hospital of Southern Medical University, 253 Gongye Avenue, Guangzhou, Guangdong 510282, P.R. China
- Department of Pediatric Neurology, Zhujiang Hospital of Southern Medical University, 253 Gongye Avenue, Guangzhou, Guangdong 510282, P.R. China
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Chen A, Ai M, Sun T. Advances in the treatment of Adamantinomatous craniopharyngioma: How to balance tumor control and quality of life in the current environment: a narrative review. Front Oncol 2023; 13:1326595. [PMID: 38188294 PMCID: PMC10771305 DOI: 10.3389/fonc.2023.1326595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 12/06/2023] [Indexed: 01/09/2024] Open
Abstract
Adamantinomatous craniopharyngioma (ACP) presents a significant challenge to neurosurgeons despite its benign histology due to its aggressive behavior and unique growth patterns. This narrative review explores the evolving landscape of ACP treatments and their efficacy, highlighting the continuous development in therapeutic approaches in recent years. Traditionally, complete resection was the primary treatment for ACP, but surgical -related morbidity have led to a shift. The invasive nature of the finger-like protrusions in the histological structure results in a higher recurrence rate for ACP compared to papillary craniopharyngioma (PCP), even after complete macroscopic resection. Given this, combining subtotal resection with adjuvant radiotherapy has shown potential for achieving similar tumor control rates and potentially positive endocrine effects. Simultaneously, adjuvant treatments (such as radiotherapy, intracystic treatment, and catheter implantation) following limited surgery offer alternative approaches for sustained disease control while minimizing morbidity and alleviating clinical symptoms. Additionally, advances in understanding the molecular pathways of ACP have paved the way for targeted drugs, showing promise for therapy. There is a diversity of treatment models for ACP, and determining the optimal approach remains a subject of ongoing debate in the present context. In order to achieve a good-term quality of life (QOL), the main goal of the cyst disappearance or reduction of surgical treatment is still the main. Additionally, there should be a greater emphasis on personalized treatment at this particular stage and the consideration of ACP as a potentially chronic neurosurgical condition. This review navigates the evolving landscape of ACP therapies, fostering ongoing discussions in this complex field.
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Affiliation(s)
- Ao Chen
- Department of Neurosurgery, Yueyang People’s Hospital, Yueyang, China
| | - MingDa Ai
- Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Tao Sun
- Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, China
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Kang M, Chung DH, Kim NR, Cho HY, Ha SY, Lee S, An J, Seok JY, Yie GT, Yoo CJ, Lee SG, Kim EY, Kim WK, Son S, Sym SJ, Shin DB, Hwang HY, Kim EY, Lee KC. Intraoperative Frozen Cytology of Central Nervous System Neoplasms: An Ancillary Tool for Frozen Diagnosis. J Pathol Transl Med 2019; 53:104-111. [PMID: 30636391 PMCID: PMC6435984 DOI: 10.4132/jptm.2018.11.10] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Accepted: 11/10/2018] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Pathologic diagnosis of central nervous system (CNS) neoplasms is made by comparing light microscopic, immunohistochemical, and molecular cytogenetic findings with clinicoradiologic observations. Intraoperative frozen cytology smears can improve the diagnostic accuracy for CNS neoplasms. Here, we evaluate the diagnostic value of cytology in frozen diagnoses of CNS neoplasms. METHODS Cases were selected from patients undergoing both frozen cytology and frozen sections. Diagnostic accuracy was evaluated. RESULTS Four hundred and fifty-four cases were included in this retrospective single-center review study covering a span of 10 years. Five discrepant cases (1.1%) were found after excluding 53 deferred cases (31 cases of tentative diagnosis, 22 cases of inadequate frozen sampling). A total of 346 cases of complete concordance and 50 cases of partial concordance were classified as not discordant cases in the present study. Diagnostic accuracy of intraoperative frozen diagnosis was 87.2%, and the accuracy was 98.8% after excluding deferred cases. Discrepancies between frozen and permanent diagnoses (n = 5, 1.1%) were found in cases of nonrepresentative sampling (n = 2) and misinterpretation (n = 3). High concordance was observed more frequently in meningeal tumors (97/98, 99%), metastatic brain tumors (51/52, 98.1%), pituitary adenomas (86/89, 96.6%), schwannomas (45/47, 95.8%), high-grade astrocytic tumors (47/58, 81%), low grade astrocytic tumors (10/13, 76.9%), non-neoplastic lesions (23/36, 63.9%), in decreasing frequency. CONCLUSIONS Using intraoperative cytology and frozen sections of CNS tumors is a highly accurate diagnostic ancillary method, providing subtyping of CNS neoplasms, especially in frequently encountered entities.
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Affiliation(s)
- Myunghee Kang
- Department of Pathology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Dong Hae Chung
- Department of Pathology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Na Rae Kim
- Department of Pathology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Hyun Yee Cho
- Department of Pathology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Seung Yeon Ha
- Department of Pathology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Sangho Lee
- Department of Pathology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Jungsuk An
- Department of Pathology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Jae Yeon Seok
- Department of Pathology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Gie-Taek Yie
- Department of Neurosurgery, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Chan Jong Yoo
- Department of Neurosurgery, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Sang Gu Lee
- Department of Neurosurgery, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Eun Young Kim
- Department of Neurosurgery, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Woo Kyung Kim
- Department of Neurosurgery, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Seong Son
- Department of Neurosurgery, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Sun Jin Sym
- Division of Medical Oncology, Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Dong Bok Shin
- Division of Medical Oncology, Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Hee Young Hwang
- Department of Radiology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Eung Yeop Kim
- Department of Radiology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Kyu Chan Lee
- Department of Radiation Oncology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
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Housni A, Boujraf S, Alami B, Benzagmout M, Maaroufi M. Assessment of Primary Brain Lymphoma Using Multimodal Magnetic Resonance Imaging and Proton Magnetic Resonance Spectroscopy. Asian J Neurosurg 2018; 13:1205-1208. [PMID: 30459895 PMCID: PMC6208237 DOI: 10.4103/ajns.ajns_137_17] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Objectives: The primary lymphoma of the central nervous system is a cancer rare. The diagnosis of this tumoral entity must be considered as an emergency considering the therapeutical involved. Therefore, we report this entity while reporting diagnostic challenges. Patients and Methods: Unfortunately, the conventional clinical and imaging signs can be confusing and might contribute to delay the diagnosis process of potentially curable pathological entity. The diagnosis confirmation in immunocompetent patients is based on a stereotaxic biopsy. Results and Conclusion: In this paper, we report a case illustrating the contribution of multimodal imaging including diffusion-weighted magnetic resonance imaging (MRI), diffusion tensor MRI, perfusion MRI, and proton MR spectroscopy to the diagnostic approach of the atypical primary lymphoma of the central nervous system.
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Affiliation(s)
- Abdelkhalek Housni
- Department of Biophysics, High Institute of Nursing Professions and Health Techniques of Fez, Fez, Morocco.,Department of Biophysics, Clinical Neuroscience Laboratory, Faculty of Medicine and Pharmacy, University of Fez, Fez, Morocco.,Department of Radiology and Clinical Imaging, University Hospital of Fez, Fez, Morocco
| | - Saïd Boujraf
- Department of Biophysics, Clinical Neuroscience Laboratory, Faculty of Medicine and Pharmacy, University of Fez, Fez, Morocco.,Department of Biophysics and Clinical MRI Methods, Faculty of Medicine and Pharmacy, University of Fez, Fez, Morocco
| | - Badreddine Alami
- Department of Biophysics, Clinical Neuroscience Laboratory, Faculty of Medicine and Pharmacy, University of Fez, Fez, Morocco.,Department of Radiology and Clinical Imaging, University Hospital of Fez, Fez, Morocco.,Department of Biophysics and Clinical MRI Methods, Faculty of Medicine and Pharmacy, University of Fez, Fez, Morocco
| | - Mohammed Benzagmout
- Department of Biophysics, Clinical Neuroscience Laboratory, Faculty of Medicine and Pharmacy, University of Fez, Fez, Morocco
| | - Mustapha Maaroufi
- Department of Biophysics, Clinical Neuroscience Laboratory, Faculty of Medicine and Pharmacy, University of Fez, Fez, Morocco.,Department of Radiology and Clinical Imaging, University Hospital of Fez, Fez, Morocco
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Zee J, Hodgin JB, Mariani LH, Gaut JP, Palmer MB, Bagnasco SM, Rosenberg AZ, Hewitt SM, Holzman LB, Gillespie BW, Barisoni L. Reproducibility and Feasibility of Strategies for Morphologic Assessment of Renal Biopsies Using the Nephrotic Syndrome Study Network Digital Pathology Scoring System. Arch Pathol Lab Med 2018; 142:613-625. [PMID: 29457738 DOI: 10.5858/arpa.2017-0181-oa] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Context Testing reproducibility is critical for the development of methodologies for morphologic assessment. Our previous study using the descriptor-based Nephrotic Syndrome Study Network Digital Pathology Scoring System (NDPSS) on glomerular images revealed variable reproducibility. Objective To test reproducibility and feasibility of alternative scoring strategies for digital morphologic assessment of glomeruli and explore use of alternative agreement statistics. Design The original NDPSS was modified (NDPSS1 and NDPSS2) to evaluate (1) independent scoring of each individual biopsy level, (2) use of continuous measures, (3) groupings of individual descriptors into classes and subclasses prior to scoring, and (4) indication of pathologists' confidence/uncertainty for any given score. Three and 5 pathologists scored 157 and 79 glomeruli using the NDPSS1 and NDPSS2, respectively. Agreement was tested using conventional (Cohen κ) and alternative (Gwet agreement coefficient 1 [AC1]) agreement statistics and compared with previously published data (original NDPSS). Results Overall, pathologists' uncertainty was low, favoring application of the Gwet AC1. Greater agreement was achieved using the Gwet AC1 compared with the Cohen κ across all scoring methodologies. Mean (standard deviation) differences in agreement estimates using the NDPSS1 and NDPSS2 compared with the single-level original NDPSS were -0.09 (0.17) and -0.17 (0.17), respectively. Using the Gwet AC1, 79% of the original NDPSS descriptors had good or excellent agreement. Pathologist feedback indicated the NDPSS1 and NDPSS2 were time-consuming. Conclusions The NDPSS1 and NDPSS2 increased pathologists' scoring burden without improving reproducibility. Use of alternative agreement statistics was strongly supported. We suggest using the original NDPSS on whole slide images for glomerular morphology assessment and for guiding future automated technologies.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Laura Barisoni
- From Biostatistics, Arbor Research Collaborative for Health, Ann Arbor, Michigan (Dr Zee); the Departments of Pathology (Dr Hodgin), Internal Medicine (Dr Mariani), and Biostatistics (Dr Gillespie), University of Michigan, Ann Arbor; Arbor Research Collaborative for Health, Ann Arbor, Michigan (Dr Mariani); the Department of Pathology & Immunology, Washington University, St Louis, Missouri (Dr Gaut); the Departments of Pathology and Laboratory Medicine (Dr Palmer) and Medicine (Dr. Holzman), University of Pennsylvania, Philadelphia; the Department of Pathology, Johns Hopkins University, Baltimore, Maryland (Drs Bagnasco and Rosenberg); the Kidney Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland (Dr Rosenberg); the Laboratory of Pathology, National Cancer Institute, Bethesda, Maryland (Dr Hewitt); and the Department of Pathology, University of Miami, Miami, Florida (Dr Barisoni)
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6
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Morphomolecular pathology: setting the framework for a new generation of pathologists. Br J Cancer 2017; 117:1581-1582. [PMID: 29123262 PMCID: PMC5729440 DOI: 10.1038/bjc.2017.340] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
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7
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Senetta R, Mellai M, Manini C, Castellano I, Bertero L, Pittaro A, Schiffer D, Boldorini R, Cassoni P. Mesenchymal/radioresistant traits in granular astrocytomas: evidence from a combined clinical and molecular approach. Histopathology 2016; 69:329-37. [PMID: 26845757 DOI: 10.1111/his.12944] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2015] [Revised: 01/26/2016] [Accepted: 01/31/2016] [Indexed: 01/18/2023]
Abstract
AIMS Granular-cell astrocytomas (GCAs) are morphologically characterized by a prominent component of granular periodic acid-Schiff-positive cells, and show increased aggressiveness as compared with 'ordinary' astrocytomas. The aim of this study was to investigate, in a small series of three GCAs, the expression of mesenchymal/radioresistance-associated biomarkers [such as chitinase-3-like protein 1 (YKL-40), hepatocyte growth factor receptor (c-Met), and caveolin 1 (Cav1)] that could contribute to the poor outcome associated with this glioma subgroup. METHODS AND RESULTS Our results show that GCAs, according to the new molecular glioma classifications, consistently show a prognostically negative molecular trait (IDH1wt-ATRX noloss-1p/19q nocodeletion). Furthermore, GCAs significantly differed from a control series of 33 'conventional' astrocytomas, because of diffuse and strong immunohistochemical coexpression of YKL-40, c-Met, and Cav1. CONCLUSIONS Our findings show that specific morphological traits, such as a granular-cell component, could represent useful features in guiding the search for prognostic and predictive biomarkers that could eventually be therapy-targetable (e.g. Met inhibitors aimed at reducing radioresistance).
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Affiliation(s)
- Rebecca Senetta
- Department of Medical Sciences, University of Turin, Turin, Italy.,IRCCS Candiolo, Turin, Italy
| | - Marta Mellai
- Neuro-Bio-Oncology Centre/Policlinico di Monza Foundation, Vercelli, Italy
| | - Claudia Manini
- Division of Pathology, Giovanni Bosco Hospital, Turin, Italy
| | | | - Luca Bertero
- Department of Medical Sciences, University of Turin, Turin, Italy
| | | | - Davide Schiffer
- Neuro-Bio-Oncology Centre/Policlinico di Monza Foundation, Vercelli, Italy
| | - Renzo Boldorini
- Unit of Pathology, Department of Health Sciences, University of Eastern Piedmont 'Amedeo Avogadro', Novara, Italy
| | - Paola Cassoni
- Department of Medical Sciences, University of Turin, Turin, Italy
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