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Toyoda M, Shibahara I, Shigeeda R, Fujitani K, Tanihata Y, Hyakutake Y, Handa H, Komai H, Sato S, Inukai M, Hide T, Shimoda Y, Kanamori M, Endo H, Saito R, Matsuda KI, Sonoda Y, Kumabe T. Clinical and molecular features of patients with IDH1 wild-type primary glioblastoma presenting unexpected short-term survival after gross total resection. J Neurooncol 2024; 169:39-50. [PMID: 38839702 DOI: 10.1007/s11060-024-04687-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 04/17/2024] [Indexed: 06/07/2024]
Abstract
BACKGROUND This study investigated the factors influencing short-term survivors (STS) after gross total resection (GTR) in patients with IDH1 wild-type primary glioblastoma. METHODS We analyzed five independent cohorts who underwent GTR, including 83 patients from Kitasato University (K-cohort), and four validation cohorts of 148 patients from co-investigators (V-cohort), 66 patients from the Kansai Molecular Diagnosis Network for the Central Nervous System tumors, 109 patients from the Cancer Genome Atlas, and 40 patients from the Glioma Longitudinal AnalySiS. The study defined STS as those who had an overall survival ≤ 12 months after GTR with subsequent radiation therapy, and concurrent and adjuvant temozolomide (TMZ). RESULTS The study included 446 patients with glioblastoma. All cohorts experienced unexpected STS after GTR, with a range of 15.0-23.9% of the cases. Molecular profiling revealed no significant difference in major genetic alterations between the STS and non-STS groups, including MGMT, TERT, EGFR, PTEN, and CDKN2A. Clinically, the STS group had a higher incidence of non-local recurrence early in their treatment course, with 60.0% of non-local recurrence in the K-cohort and 43.5% in the V-cohort. CONCLUSIONS The study revealed that unexpected STS after GTR in patients with glioblastoma is not uncommon and such tumors tend to present early non-local recurrence. Interestingly, we did not find any significant genetic alterations in the STS group, indicating that such major alterations are characteristics of GB rather than being reliable predictors for recurrence patterns or development of unexpected STS.
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Affiliation(s)
- Mariko Toyoda
- Department of Neurosurgery, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0374, Japan
| | - Ichiyo Shibahara
- Department of Neurosurgery, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0374, Japan.
| | - Ryota Shigeeda
- Department of Neurosurgery, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0374, Japan
| | - Kazuko Fujitani
- Gene Analysis Center, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan
| | - Yoko Tanihata
- Department of Neurosurgery, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0374, Japan
| | - Yuri Hyakutake
- Department of Neurosurgery, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0374, Japan
| | - Hajime Handa
- Department of Neurosurgery, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0374, Japan
| | - Hideto Komai
- Department of Neurosurgery, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0374, Japan
| | - Sumito Sato
- Department of Neurosurgery, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0374, Japan
| | - Madoka Inukai
- Department of Neurosurgery, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0374, Japan
| | - Takuichiro Hide
- Department of Neurosurgery, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0374, Japan
| | - Yoshiteru Shimoda
- Department of Neurosurgery, Tohoku University School of Medicine, Sendai, Japan
| | - Masayuki Kanamori
- Department of Neurosurgery, Tohoku University School of Medicine, Sendai, Japan
| | - Hidenori Endo
- Department of Neurosurgery, Tohoku University School of Medicine, Sendai, Japan
| | - Ryuta Saito
- Department of Neurosurgery, Nagoya University School of Medicine, Nagoya, Japan
| | - Ken-Ichiro Matsuda
- Department of Neurosurgery, Yamagata University School of Medicine, Yamagata, Japan
| | - Yukihiko Sonoda
- Department of Neurosurgery, Yamagata University School of Medicine, Yamagata, Japan
| | - Toshihiro Kumabe
- Department of Neurosurgery, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0374, Japan
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Xu H, Chen X, Sun Y, Hu X, Zhang X, Wang Y, Tang Q, Zhu Q, Song K, Chen H, Sheng X, Yao Y, Zhuang D, Chen L, Mao Y, Qin Z. Comprehensive molecular characterization of long-term glioblastoma survivors. Cancer Lett 2024; 593:216938. [PMID: 38734160 DOI: 10.1016/j.canlet.2024.216938] [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: 01/30/2024] [Revised: 05/01/2024] [Accepted: 05/02/2024] [Indexed: 05/13/2024]
Abstract
Fewer than 5 % glioblastoma (GBM) patients survive over five years and are termed long-term survivors (LTS), yet their molecular background is unclear. The present cohort included 72 isocitrate dehydrogenase (IDH)-wildtype GBM patients, consisting of 35 LTS and 37 short-term survivors (STS), and we employed whole exome sequencing, RNA-seq and DNA methylation array to delineate this largest LTS cohort to date. Although LTS and STS demonstrated analogous clinical characters and classical GBM biomarkers, CASC5 (P = 0.002) and SPEN (P = 0.013) mutations were enriched in LTS, whereas gene-to-gene fusions were concentrated in STS (P = 0.007). Importantly, LTS exhibited higher tumor mutation burden (P < 0.001) and copy number (CN) increase (P = 0.013), but lower mutant-allele tumor heterogeneity score (P < 0.001) and CN decrease (P = 0.026). Additionally, LTS demonstrated hypermethylated genome (P < 0.001) relative to STS. Differentially expressed and methylated genes both enriched in olfactory transduction. Further, analysis of the tumor microenvironment revealed higher infiltration of M1 macrophages (P = 0.043), B cells (P = 0.016), class-switched memory B cells (P = 0.002), central memory CD4+ T cells (P = 0.031) and CD4+ Th1 cells (P = 0.005) in LTS. We also separately analyzed a subset of patients who were methylation class-defined GBM, contributing 70.8 % of the entire cohort, and obtained similar results relative to prior analyses. Finally, we demonstrated that LTS and STS could be distinguished using a subset of molecular features. Taken together, the present study delineated unique molecular attributes of LTS GBM.
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Affiliation(s)
- Hao Xu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China; National Center for Neurological Disorders, Shanghai, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China
| | - Xinyu Chen
- Department of Breast and Urologic Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ying Sun
- GenomiCare Biotechnology (Shanghai) Co. Ltd., Shanghai, China; Department of Data Science, Shanghai CreateCured Biotechnology Co. Ltd., Shanghai, China
| | - Xiaomu Hu
- Department of Pathology, Huashan Hospital, Fudan University, Shanghai, China
| | - Xuan Zhang
- GenomiCare Biotechnology (Shanghai) Co. Ltd., Shanghai, China
| | - Ye Wang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China; National Center for Neurological Disorders, Shanghai, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China
| | - Qisheng Tang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China; National Center for Neurological Disorders, Shanghai, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China
| | - Qiongji Zhu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China; National Center for Neurological Disorders, Shanghai, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China
| | - Kun Song
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China; National Center for Neurological Disorders, Shanghai, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China
| | - Hong Chen
- Department of Pathology, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaofang Sheng
- Department of Radiation Oncology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yu Yao
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China; National Center for Neurological Disorders, Shanghai, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China
| | - Dongxiao Zhuang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China; National Center for Neurological Disorders, Shanghai, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China
| | - Lingchao Chen
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China; National Center for Neurological Disorders, Shanghai, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China.
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China; National Center for Neurological Disorders, Shanghai, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China.
| | - Zhiyong Qin
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China; National Center for Neurological Disorders, Shanghai, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China.
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Clavreul A, Guette C, Lasla H, Rousseau A, Blanchet O, Henry C, Boissard A, Cherel M, Jézéquel P, Guillonneau F, Menei P, Lemée JM. Proteomics of tumor and serum samples from isocitrate dehydrogenase-wildtype glioblastoma patients: is the detoxification of reactive oxygen species associated with shorter survival? Mol Oncol 2024. [PMID: 38803161 DOI: 10.1002/1878-0261.13668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 04/12/2024] [Accepted: 05/10/2024] [Indexed: 05/29/2024] Open
Abstract
Proteomics has been little used for the identification of novel prognostic and/or therapeutic markers in isocitrate dehydrogenase (IDH)-wildtype glioblastoma (GB). In this study, we analyzed 50 tumor and 30 serum samples from short- and long-term survivors of IDH-wildtype GB (STS and LTS, respectively) by data-independent acquisition mass spectrometry (DIA-MS)-based proteomics, with the aim of identifying such markers. DIA-MS identified 5422 and 826 normalized proteins in tumor and serum samples, respectively, with only three tumor proteins and 26 serum proteins displaying significant differential expression between the STS and LTS groups. These dysregulated proteins were principally associated with the detoxification of reactive oxygen species (ROS). In particular, GB patients in the STS group had high serum levels of malate dehydrogenase 1 (MDH1) and ribonuclease inhibitor 1 (RNH1) and low tumor levels of fatty acid-binding protein 7 (FABP7), which may have enabled them to maintain low ROS levels, counteracting the effects of the first-line treatment with radiotherapy plus concomitant and adjuvant temozolomide. A blood score built on the levels of MDH1 and RNH1 expression was found to be an independent prognostic factor for survival based on the serum proteome data for a cohort of 96 IDH-wildtype GB patients. This study highlights the utility of circulating MDH1 and RNH1 biomarkers for determining the prognosis of patients with IDH-wildtype GB. Furthermore, the pathways driven by these biomarkers, and the tumor FABP7 pathway, may constitute promising therapeutic targets for blocking ROS detoxification to overcome resistance to chemoradiotherapy in potential GB STS.
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Affiliation(s)
- Anne Clavreul
- Département de Neurochirurgie, CHU d'Angers, France
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
| | - Catherine Guette
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
- PROT'ICO - Plateforme Oncoprotéomique, Institut de Cancérologie de l'Ouest (ICO), Angers, France
| | - Hamza Lasla
- Omics Data Science Unit, Institut de Cancérologie de l'Ouest (ICO), Nantes, France
- SIRIC ILIAD, Institut de Recherche en Santé, Université de Nantes, France
| | - Audrey Rousseau
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
- Département de Pathologie, CHU d'Angers, France
| | - Odile Blanchet
- Centre de Ressources Biologiques, BB-0033-00038, CHU d'Angers, France
| | - Cécile Henry
- PROT'ICO - Plateforme Oncoprotéomique, Institut de Cancérologie de l'Ouest (ICO), Angers, France
| | - Alice Boissard
- PROT'ICO - Plateforme Oncoprotéomique, Institut de Cancérologie de l'Ouest (ICO), Angers, France
| | - Mathilde Cherel
- Département de Biologie Médicale, Centre Eugène Marquis, Unicancer, Rennes, France
| | - Pascal Jézéquel
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
- Omics Data Science Unit, Institut de Cancérologie de l'Ouest (ICO), Nantes, France
- SIRIC ILIAD, Institut de Recherche en Santé, Université de Nantes, France
| | - François Guillonneau
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
- PROT'ICO - Plateforme Oncoprotéomique, Institut de Cancérologie de l'Ouest (ICO), Angers, France
| | - Philippe Menei
- Département de Neurochirurgie, CHU d'Angers, France
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
| | - Jean-Michel Lemée
- Département de Neurochirurgie, CHU d'Angers, France
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
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Yang XL, Zeng Z, Wang C, Sheng YL, Wang GY, Zhang FQ, Lian X. Predictive Model to Identify the Long Time Survivor in Patients with Glioblastoma: A Cohort Study Integrating Machine Learning Algorithms. J Mol Neurosci 2024; 74:48. [PMID: 38662286 DOI: 10.1007/s12031-024-02218-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 03/31/2024] [Indexed: 04/26/2024]
Abstract
We aimed to develop and validate a predictive model for identifying long-term survivors (LTS) among glioblastoma (GB) patients, defined as those with an overall survival (OS) of more than 3 years. A total of 293 GB patients from CGGA and 169 from TCGA database were assigned to training and validation cohort, respectively. The differences in expression of immune checkpoint genes (ICGs) and immune infiltration landscape were compared between LTS and short time survivor (STS) (OS<1.5 years). The differentially expressed genes (DEGs) and weighted gene co-expression network analysis (WGCNA) were used to identify the genes differentially expressed between LTS and STS. Three different machine learning algorithms were employed to select the predictive genes from the overlapping region of DEGs and WGCNA to construct the nomogram. The comparison between LTS and STS revealed that STS exhibited an immune-resistant status, with higher expression of ICGs (P<0.05) and greater infiltration of immune suppression cells compared to LTS (P<0.05). Four genes, namely, OSMR, FMOD, CXCL14, and TIMP1, were identified and incorporated into the nomogram, which possessed good potential in predicting LTS probability among GB patients both in the training (C-index, 0.791; 0.772-0.817) and validation cohort (C-index, 0.770; 0.751-0.806). STS was found to be more likely to exhibit an immune-cold phenotype. The identified predictive genes were used to construct the nomogram with potential to identify LTS among GB patients.
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Affiliation(s)
- Xi-Lin Yang
- Department of Radiation Oncology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China
| | - Zheng Zeng
- Department of Radiation Oncology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China
| | - Chen Wang
- Department of Radiation Oncology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China
| | - Yun-Long Sheng
- Department of Radiation Oncology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China
- State Key Laboratory of Molecular Oncology and Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS), Peking Union Medical College (PUMC), Beijing, People's Republic of China
| | - Guang-Yu Wang
- Department of Radiation Oncology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China
| | - Fu-Quan Zhang
- Department of Radiation Oncology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.
| | - Xin Lian
- Department of Radiation Oncology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.
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Rynda AY, Olyushin VE, Rostovtsev DM, Kukanov KK, Sklyar SS, Zabrodskaya YM. [Patients with long-term survival in malignant gliomas after photodynamic therapy]. Zh Nevrol Psikhiatr Im S S Korsakova 2024; 124:54-61. [PMID: 39072567 DOI: 10.17116/jnevro202412406154] [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: 07/30/2024]
Abstract
OBJECTIVE Analysis of long-lived patients from the group of patients with glioblastomas after using photodynamic therapy in the structure of their complex treatment in order to assess the influence of various factors on their life expectancy. MATERIAL AND METHODS In total, a single-center, retrospective categorical study analyzed the long-term results of treatment of 63 patients with glioblastoma in the structure of complex treatment including photodynamic therapy. Clinical factors (age, sex, number of cases, preoperative Karnofsky index, location and size of the tumor, radicality of the operation), histological (nuclear polymorphism, mitosis, vascular proliferation, necrosis), immunohistochemical (Ki-67, p53 index) molecular-genetic factors (expression of VEGF, MGMT, IDH, CD34), amount of radiation and chemotherapy were analyzed. RESULTS In the entire group of patients, there was a direct correlation of life expectancy with MGMT status, IDH status, the number of courses of chemotherapy, the age of the patient, and the severity of the first surgical intervention. CONCLUSION Clinical features such as age at diagnosis and extent of surgical resection and amount of chemotherapy have predictive value in assessing their effect on life expectancy. Mutations in IDH and MGMT promoter methylation were the most important molecular factors determining long-term patient survival.
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Affiliation(s)
- A Yu Rynda
- Polenov Russian Neurosurgical Institute - a branch Almazov of the National Medical Research Center, St. Petersburg, Russia
| | - V E Olyushin
- Polenov Russian Neurosurgical Institute - a branch Almazov of the National Medical Research Center, St. Petersburg, Russia
| | - D M Rostovtsev
- Polenov Russian Neurosurgical Institute - a branch Almazov of the National Medical Research Center, St. Petersburg, Russia
| | - K K Kukanov
- Polenov Russian Neurosurgical Institute - a branch Almazov of the National Medical Research Center, St. Petersburg, Russia
| | - S S Sklyar
- Polenov Russian Neurosurgical Institute - a branch Almazov of the National Medical Research Center, St. Petersburg, Russia
| | - Yu M Zabrodskaya
- Polenov Russian Neurosurgical Institute - a branch Almazov of the National Medical Research Center, St. Petersburg, Russia
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Han Q, Lu Y, Wang D, Li X, Ruan Z, Mei N, Ji X, Geng D, Yin B. Glioblastomas with and without peritumoral fluid-attenuated inversion recovery (FLAIR) hyperintensity present morphological and microstructural differences on conventional MR images. Eur Radiol 2023; 33:9139-9151. [PMID: 37495706 DOI: 10.1007/s00330-023-09924-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 05/04/2023] [Accepted: 05/14/2023] [Indexed: 07/28/2023]
Abstract
OBJECTIVES Glioblastoma (GB) without peritumoral fluid-attenuated inversion recovery (FLAIR) hyperintensity is atypical and its characteristics are barely known. The aim of this study was to explore the differences in pathological and MRI-based intrinsic features (including morphologic and first-order features) between GBs with peritumoral FLAIR hyperintensity (PFH-bearing GBs) and GBs without peritumoral FLAIR hyperintensity (PFH-free GBs). METHODS In total, 155 patients with pathologically diagnosed GBs were retrospectively collected, which included 110 PFH-bearing GBs and 45 PFH-free GBs. The pathological and imaging data were collected. The Visually AcceSAble Rembrandt Images (VASARI) features were carefully evaluated. The first-order radiomics features from the tumor region were extracted from FLAIR, apparent diffusion coefficient (ADC), and T1CE (T1-contrast enhanced) images. All parameters were compared between the two groups of GBs. RESULTS The pathological data showed more alpha thalassemia/mental retardation syndrome X-linked (ATRX)-loss in PFH-free GBs compared to PFH-bearing ones (p < 0.001). Based on VASARI evaluation, PFH-free GBs had larger intra-tumoral enhancing proportion and smaller necrotic proportion (both, p < 0.001), more common non-enhancing tumor (p < 0.001), mild/minimal enhancement (p = 0.003), expansive T1/FLAIR ratio (p < 0.001) and solid enhancement (p = 0.009), and less pial invasion (p = 0.010). Moreover, multiple ADC- and T1CE-based first-order radiomics features demonstrated differences, especially the lower intensity heterogeneity in PFH-free GBs (for all, adjusted p < 0.05). CONCLUSIONS Compared to PFH-bearing GBs, PFH-free ones demonstrated less immature neovascularization and lower intra-tumoral heterogeneity, which would be helpful in clinical treatment stratification. CLINICAL RELEVANCE STATEMENT Glioblastomas without peritumoral FLAIR hyperintensity show less immature neovascularization and lower heterogeneity leading to potential higher treatment benefits due to less drug resistance and treatment failure. KEY POINTS • The study explored the differences between glioblastomas with and without peritumoral FLAIR hyperintensity. • Glioblastomas without peritumoral FLAIR hyperintensity showed less necrosis and contrast enhancement and lower intensity heterogeneity. • Glioblastomas without peritumoral FLAIR hyperintensity had less immature neovascularization and lower tumor heterogeneity.
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Affiliation(s)
- Qiuyue Han
- Department of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Rd. Middle, 200040, Shanghai, China
- Shanghai Institute of Medical Imaging, Shanghai, China
| | - Yiping Lu
- Department of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Rd. Middle, 200040, Shanghai, China
| | - Dongdong Wang
- Department of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Rd. Middle, 200040, Shanghai, China
| | - Xuanxuan Li
- Department of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Rd. Middle, 200040, Shanghai, China
| | - Zhuoying Ruan
- Department of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Rd. Middle, 200040, Shanghai, China
| | - Nan Mei
- Department of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Rd. Middle, 200040, Shanghai, China
| | - Xiong Ji
- Department of Pathology, Huashan Hospital, Fudan University, Shanghai, China
| | - Daoying Geng
- Department of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Rd. Middle, 200040, Shanghai, China.
- Center for Shanghai Intelligent Imaging for Critical Brain Diseases Engineering and Technology Research, Shanghai, China.
| | - Bo Yin
- Department of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Rd. Middle, 200040, Shanghai, China.
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Levallet G, Dubois F, Elie N, Creveuil C, Brosseau S, Danel C, Scherpereel A, Lantuejoul S, Mazières J, Greillier L, Audigier-Valette C, Bergot E, Moro-Sibilot D, Molinier O, Léna H, Monnet I, Morin F, Gounant V, Zalcman G. VEGFR2 and CD34 expression associated with longer survival in patients with pleural mesothelioma in the IFCT-GFPC-0701 MAPS phase 3 trial. Lung Cancer 2023; 182:107287. [PMID: 37393757 DOI: 10.1016/j.lungcan.2023.107287] [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: 03/15/2023] [Revised: 06/19/2023] [Accepted: 06/24/2023] [Indexed: 07/04/2023]
Abstract
OBJECTIVES VEGF/VEGFR autocrine loop is a hallmark of pleural mesothelioma (PM). We thus assayed the prognostic and predictive values of VEGFR-2 [vascular endothelial growth factor receptor 2 or Flk-1] and CD34, a marker of endothelial cells, in samples from patients accrued in the Mesothelioma Avastin Cisplatin Pemetrexed Study ('MAPS', NCT00651456). MATERIALS AND METHODS VEGFR2 and CD34 expression were assayed using immunohistochemistry in 333 MAPS patients (74.3%), and their prognostic value was evaluated in terms of overall survival (OS) and progression-free survival (PFS) in univariate and multivariate analyses, before validation by bootstrap methodology. RESULTS Positive VEGFR2 or CD34 staining was observed in 234/333 (70.2%) and 322/323 (99.6%) of tested specimens, respectively. VEGFR2 and CD34 staining correlated weakly, yet significantly, with each other (r = 0.36, p < 0.001). High VEGFR2 expression or high CD34 levels were associated with longer OS in PM patients in multivariate analysis (VEGFR2: adjusted [adj.] hazard ratio [HR]: 0.91, 95% confidence interval [CI] [0.88; 0.95], p < 0.001; CD34: adj. HR: 0.86, 95 %CI [0.76; 0.96], p = 0.010), with only high VEGFR2 expression resulting in significantly longer PFS (VEGFR2: adj. HR: 0.96, 95 %CI [0.92; 0.996], p = 0.032). Stability of these results was confirmed using bootstrap procedure. Nevertheless, VEGFR2 expression failed to specifically predict longer survival in bevacizumab-chemotherapy combination trial arm, regardless of whether the VEGFR2 score was combined or not with serum VEGF concentrations. CONCLUSION VEGFR2 overexpression independently correlated with longer OS or PFS in PM patients, such biomarker deserving prospective evaluation as stratification variable in future clinical trials.
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Affiliation(s)
- Guénaëlle Levallet
- Université de Caen-Normandie, CNRS, Normandie Univ, ISTCT UMR6030, GIP Cyceron, F-14000 Caen, France; Department of Pathology, Caen University Hospital, Caen, France
| | - Fatéméh Dubois
- Université de Caen-Normandie, CNRS, Normandie Univ, ISTCT UMR6030, GIP Cyceron, F-14000 Caen, France; Department of Pathology, Caen University Hospital, Caen, France
| | - Nicolas Elie
- Université de Caen-Normandie, Normandie Univ, Federative Structure 4207 "Normandie Oncologie", Service Unit PLATON, Virtual'His platform, Caen, France
| | - Christian Creveuil
- Université de Caen-Normandie, Normandie Univ, Biomedical Research Unit, University Hospital, Caen, France
| | - Solenn Brosseau
- Université Paris Cité, Thoracic Oncology Department & CIC1425, Hôpital Bichat-Claude Bernard, Assistance Publique Hôpitaux de Paris (AP-HP), Paris, France; U830 INSERM "Cancer, Heterogeneity, Instability, Plasticity, A.R.T group", Curie Institute, Paris, France
| | - Claire Danel
- Université Paris Cité Department of Pathology, Hôpital Bichat-Claude Bernard, AP-HP, Paris, France
| | - Arnaud Scherpereel
- Department of Pulmonary and Thoracic Oncology, Centre Hospitalier Universitaire Lille, University of Lille, U1019 INSERM, Center of Infection and Immunity of Lille, Lille, France
| | - Sylvie Lantuejoul
- Department of Biopathology, Reference National Center MESOPATH, Centre Léon Bérard, Lyon, France
| | - Julien Mazières
- Grenoble Alpes University, Department of Pulmonology, Hôpital Larrey, University Hospital of Toulouse, Toulouse, France
| | - Laurent Greillier
- Department of Multidisciplinary Oncology and Therapeutic Innovations, Assistance Publique Hôpitaux de Marseille, Aix Marseille University, Marseille, France
| | | | - Emmanuel Bergot
- Université de Caen-Normandie, CNRS, Normandie Univ, ISTCT UMR6030, GIP Cyceron, F-14000 Caen, France; Normandie Univ, UNICAEN, Pulmonology and Thoracic Oncology Department, Caen University Hospital, Caen, France
| | - Denis Moro-Sibilot
- Pôle Thorax et Vaisseaux, Centre Hospitalier Universitaire Grenoble, Grenoble, France
| | - Olivier Molinier
- Department of Pulmonology, Centre Hospitalier Le Mans, Le Mans, France
| | - Hervé Léna
- Department of Pulmonology, Ponchaillou University Hospital, Rennes, France
| | | | - Franck Morin
- Intergroupe Francophone de Cancérologie Thoracique (IFCT), Paris, France
| | - Valérie Gounant
- Université Paris Cité, Thoracic Oncology Department & CIC1425, Hôpital Bichat-Claude Bernard, Assistance Publique Hôpitaux de Paris (AP-HP), Paris, France; Pulmonology and thoracic oncology Department, Tenon University Hospital, Assistance Publique Hôpitaux de Paris (AP-HP), Paris, France
| | - Gérard Zalcman
- Université Paris Cité, Thoracic Oncology Department & CIC1425, Hôpital Bichat-Claude Bernard, Assistance Publique Hôpitaux de Paris (AP-HP), Paris, France; U830 INSERM "Cancer, Heterogeneity, Instability, Plasticity, A.R.T group", Curie Institute, Paris, France.
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8
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Motomura K, Kibe Y, Ohka F, Aoki K, Yamaguchi J, Saito R. Clinical characteristics and radiological features of glioblastoma, IDH-wildtype, grade 4 with histologically lower-grade gliomas. Brain Tumor Pathol 2023; 40:48-55. [PMID: 36988764 DOI: 10.1007/s10014-023-00458-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 03/18/2023] [Indexed: 03/30/2023]
Abstract
The 2021 World Health Organization (WHO) classification of central nervous system tumors applied molecular criteria and further integrated histological and molecular diagnosis of gliomas. This classification allows for the diagnosis of isocitrate dehydrogenase wild-type (IDHwt) glioblastoma (GBM), and WHO grade 4 with histologically lower-grade gliomas (LrGGs), even in the absence of high-grade histopathologic features, such as necrosis and/or microvascular proliferation. They contain at least one of the following molecular features: epidermal growth factor receptor amplification, chromosome 7 gain/10 loss, or telomerase reverse transcriptase promoter mutation. In the imaging features at the time of histological diagnosis, a gliomatosis cerebri growth pattern was frequently observed in these tumors. Furthermore, this growth pattern was significantly higher in IDHwt GBM, WHO grade 4, with histological grade II gliomas. Although the exact prognosis of IDHwt GBM, WHO grade 4, with histologically LGGs remains unknown, its OS was approximately 1-2 years similar to that of histologically IDHwt GBM, WHO grade 4, despite histopathological features similar to IDHmut LrGGs. These findings reinforce the need for the analysis of molecular features, regardless of presenting similar clinical characteristics and imaging features to IDHmut LrGGs.
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Affiliation(s)
- Kazuya Motomura
- Department of Neurosurgery, Nagoya University School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan.
| | - Yuji Kibe
- Department of Neurosurgery, Nagoya University School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan
| | - Fumiharu Ohka
- Department of Neurosurgery, Nagoya University School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan
| | - Kosuke Aoki
- Department of Neurosurgery, Nagoya University School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan
| | - Junya Yamaguchi
- Department of Neurosurgery, Nagoya University School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan
| | - Ryuta Saito
- Department of Neurosurgery, Nagoya University School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan
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9
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Kis D, Szivos L, Rekecki M, Shukir BS, Mate A, Hideghety K, Barzo P. Predicting the true extent of glioblastoma based on probabilistic tractography. Front Neurosci 2022; 16:886465. [PMID: 36213748 PMCID: PMC9533086 DOI: 10.3389/fnins.2022.886465] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 08/16/2022] [Indexed: 11/25/2022] Open
Abstract
Glioblastoma is the most frequent type of primary brain tumors. Despite the advanced therapy, most of the patients die within 2 years after the diagnosis. The tumor has a typical appearance on MRI: a central hypointensity surrounded by an inhomogeneous, ring-shaped contrast enhancement along its border. Too small to be recognized by MRI, detached individual tumor cells migrate along white matter fiber tracts several centimeters away from the edge of the tumor. Usually these cells are the source of tumor recurrence. If the infiltrated brain areas could be identified, longer survival time could be achieved through supratotal resection and individually planned radiation therapy. Probabilistic tractography is an advanced imaging method that can potentially be used to identify infiltrated pathways, thus the real extent of the glioblastoma. Our study consisted of twenty high grade glioma patients. Probabilistic tractography was started from the tumor. The location of tumor recurrence on follow-up MRI was considered as the primary infiltrated white matter tracts. The results of probabilistic tractography were evaluated at thirteen different thresholds. The overlap with the tumor recurrence of each threshold level was then defined to calculate the sensitivity and specificity. In the group level, sensitivity (81%) and specificity (90%) were the most reliable at 5% threshold level. There were two outliers in the study group, both with high specificity and very low sensitivity. According to our results, probabilistic tractography can help to define the true extent of the glioblastoma at the time of diagnosis with high sensitivity and specificity. Individually planned surgery and irradiation could provide a better chance of survival in these patients.
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Affiliation(s)
- David Kis
- Department of Neurosurgery, Faculty of Medicine, University of Szeged, Szeged, Hungary
- *Correspondence: David Kis,
| | - Laszlo Szivos
- Department of Neurosurgery, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Mark Rekecki
- Department of Neurosurgery, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Bayan Salam Shukir
- Department of Neurosurgery, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Adrienn Mate
- Department of Neurosurgery, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Katalin Hideghety
- Department of Oncology, Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Pal Barzo
- Department of Neurosurgery, Faculty of Medicine, University of Szeged, Szeged, Hungary
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10
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Yamaguchi J, Motomura K, Ohka F, Aoki K, Tanahashi K, Hirano M, Chalise L, Nishikawa T, Shimizu H, Natsume A, Wakabayashi T, Saito R. Survival Benefit of Supratotal Resection in a Long-term Survivor of IDH-wildtype Glioblastoma: A Case Report and Literature Review. NMC Case Rep J 2022; 8:747-753. [PMID: 35079543 PMCID: PMC8769439 DOI: 10.2176/nmccrj.cr.2021-0120] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 08/19/2021] [Indexed: 12/29/2022] Open
Abstract
Glioblastoma multiforme (GBM) is an aggressive cancer type, with fewer than 3–5% of patients surviving for more than 3 years. We describe a 48-year-old right-handed man who presented with generalized seizure attacks. Magnetic resonance imaging (MRI) revealed a heterogeneous gadolinium-enhancing lesion in the left inferior parietal lobule. The patient underwent awake surgery, and tumor resection included abnormalities on T2-weighted MRI, with subcortical mapping used to identify the deep functional boundaries. After supratotal resection, the tumor was diagnosed as GBM without isocitrate dehydrogenase (IDH) 1 and 2 mutations. At a follow-up evaluation, 9 years and 2 months after the surgery, the patient appeared healthy, and no relapse or recurrence was observed. We present the case of a long-term survivor of IDH-wildtype GBM. This case suggests that supratotal resection with intraoperative awake brain mapping can improve survival without impairing the patient’s neurological functions.
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Affiliation(s)
- Junya Yamaguchi
- Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Kazuya Motomura
- Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Fumiharu Ohka
- Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Kosuke Aoki
- Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Kuniaki Tanahashi
- Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Masaki Hirano
- Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Lushun Chalise
- Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Tomohide Nishikawa
- Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Hiroyuki Shimizu
- Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Atsushi Natsume
- Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Toshihiko Wakabayashi
- Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Ryuta Saito
- Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
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11
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McAleenan A, Kelly C, Spiga F, Kernohan A, Cheng HY, Dawson S, Schmidt L, Robinson T, Brandner S, Faulkner CL, Wragg C, Jefferies S, Howell A, Vale L, Higgins JPT, Kurian KM. Prognostic value of test(s) for O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation for predicting overall survival in people with glioblastoma treated with temozolomide. Cochrane Database Syst Rev 2021; 3:CD013316. [PMID: 33710615 PMCID: PMC8078495 DOI: 10.1002/14651858.cd013316.pub2] [Citation(s) in RCA: 12] [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: 01/10/2023]
Abstract
BACKGROUND Glioblastoma is an aggressive form of brain cancer. Approximately five in 100 people with glioblastoma survive for five years past diagnosis. Glioblastomas that have a particular modification to their DNA (called methylation) in a particular region (the O6-methylguanine-DNA methyltransferase (MGMT) promoter) respond better to treatment with chemotherapy using a drug called temozolomide. OBJECTIVES To determine which method for assessing MGMT methylation status best predicts overall survival in people diagnosed with glioblastoma who are treated with temozolomide. SEARCH METHODS We searched MEDLINE, Embase, BIOSIS, Web of Science Conference Proceedings Citation Index to December 2018, and examined reference lists. For economic evaluation studies, we additionally searched NHS Economic Evaluation Database (EED) up to December 2014. SELECTION CRITERIA Eligible studies were longitudinal (cohort) studies of adults with diagnosed glioblastoma treated with temozolomide with/without radiotherapy/surgery. Studies had to have related MGMT status in tumour tissue (assessed by one or more method) with overall survival and presented results as hazard ratios or with sufficient information (e.g. Kaplan-Meier curves) for us to estimate hazard ratios. We focused mainly on studies comparing two or more methods, and listed brief details of articles that examined a single method of measuring MGMT promoter methylation. We also sought economic evaluations conducted alongside trials, modelling studies and cost analysis. DATA COLLECTION AND ANALYSIS Two review authors independently undertook all steps of the identification and data extraction process for multiple-method studies. We assessed risk of bias and applicability using our own modified and extended version of the QUality In Prognosis Studies (QUIPS) tool. We compared different techniques, exact promoter regions (5'-cytosine-phosphate-guanine-3' (CpG) sites) and thresholds for interpretation within studies by examining hazard ratios. We performed meta-analyses for comparisons of the three most commonly examined methods (immunohistochemistry (IHC), methylation-specific polymerase chain reaction (MSP) and pyrosequencing (PSQ)), with ratios of hazard ratios (RHR), using an imputed value of the correlation between results based on the same individuals. MAIN RESULTS We included 32 independent cohorts involving 3474 people that compared two or more methods. We found evidence that MSP (CpG sites 76 to 80 and 84 to 87) is more prognostic than IHC for MGMT protein at varying thresholds (RHR 1.31, 95% confidence interval (CI) 1.01 to 1.71). We also found evidence that PSQ is more prognostic than IHC for MGMT protein at various thresholds (RHR 1.36, 95% CI 1.01 to 1.84). The data suggest that PSQ (mainly at CpG sites 74 to 78, using various thresholds) is slightly more prognostic than MSP at sites 76 to 80 and 84 to 87 (RHR 1.14, 95% CI 0.87 to 1.48). Many variants of PSQ have been compared, although we did not see any strong and consistent messages from the results. Targeting multiple CpG sites is likely to be more prognostic than targeting just one. In addition, we identified and summarised 190 articles describing a single method for measuring MGMT promoter methylation status. AUTHORS' CONCLUSIONS PSQ and MSP appear more prognostic for overall survival than IHC. Strong evidence is not available to draw conclusions with confidence about the best CpG sites or thresholds for quantitative methods. MSP has been studied mainly for CpG sites 76 to 80 and 84 to 87 and PSQ at CpG sites ranging from 72 to 95. A threshold of 9% for CpG sites 74 to 78 performed better than higher thresholds of 28% or 29% in two of three good-quality studies making such comparisons.
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Affiliation(s)
- Alexandra McAleenan
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Claire Kelly
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Francesca Spiga
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ashleigh Kernohan
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Hung-Yuan Cheng
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Sarah Dawson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Applied Research Collaboration West (ARC West) , University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Lena Schmidt
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Tomos Robinson
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, 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
| | - Claire L Faulkner
- 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
| | - Amy Howell
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Luke Vale
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Julian P T Higgins
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Applied Research Collaboration West (ARC West) , University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
- NIHR Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Kathreena M Kurian
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Bristol Medical School: Brain Tumour Research Centre, Public Health Sciences, University of Bristol, Bristol, UK
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12
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Richardson TE, Kumar A, Xing C, Hatanpaa KJ, Walker JM. Overcoming the Odds: Toward a Molecular Profile of Long-Term Survival in Glioblastoma. J Neuropathol Exp Neurol 2021; 79:1031-1037. [PMID: 32954439 DOI: 10.1093/jnen/nlaa102] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
For over a century, gliomas were characterized solely by histologic features. With the publication of the WHO Classification of Tumours of the Central Nervous System, Revised 4th Edition in 2016, integrated histologic and molecular diagnosis became the norm, providing improved tumor grading and prognosis with IDH1/2 (isocitrate dehydrogenase 1 and 2) mutation being the most significant prognostic feature in all grades of adult diffuse glioma. Since then, much work has been done to identify additional molecular prognostic features, but the bulk of the progress has been made in defining aggressive features in lower grade astrocytoma. Although there have been several large case series of glioblastomas with long-term survival (LTS; overall survival ≥36 months), less is known about the clinical and molecular features of these cases. Herein, we review 19 studies examining LTS glioblastoma patients from 2009 to 2020 that include variable molecular analysis, including 465 cases with survival of 36 months or more (total n = 2328). These studies suggest that while there is no definitive molecular signature of long survival, younger age, IDH mutation, and MGMT (methyl guanine methyl transferase) promoter hypermethylation are associated with longer overall survival, and in IDH-wildtype tumors, chromosome 19/20 co-gain and lack of EGFR amplification, chromosome 7 gain/10 loss, and TERT promoter mutation are associated with LTS.
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Affiliation(s)
- Timothy E Richardson
- Department of Pathology, State University of New York, Upstate Medical University, Syracuse, New York
| | - Ashwani Kumar
- Eugene McDermott Center for Human Growth & Development
| | - Chao Xing
- Eugene McDermott Center for Human Growth & Development.,Department of Bioinformatics and Department of Population and Data Sciences
| | | | - Jamie M Walker
- University of Texas Southwestern Medical Center, Dallas, Texas; and Department of Pathology and Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center, San Antonio, Texas
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13
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Abedi AA, Grunnet K, Christensen IJ, Michaelsen SR, Muhic A, Møller S, Hasselbalch B, Poulsen HS, Urup T. A Prognostic Model for Glioblastoma Patients Treated With Standard Therapy Based on a Prospective Cohort of Consecutive Non-Selected Patients From a Single Institution. Front Oncol 2021; 11:597587. [PMID: 33718145 PMCID: PMC7946965 DOI: 10.3389/fonc.2021.597587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 01/14/2021] [Indexed: 11/16/2022] Open
Abstract
Background Glioblastoma patients administered standard therapies, comprising maximal surgical resection, radiation therapy with concomitant and adjuvant temozolomide, have a variable prognosis with a median overall survival of 15–16 months and a 2-year overall survival of 30%. The aim of this study was to develop a prognostic nomogram for overall survival for glioblastoma patients treated with standard therapy outside clinical trials. Methods The study included 680 consecutive, non-selected glioblastoma patients administered standard therapy as primary treatment between the years 2005 and 2016 at Rigshospitalet, Copenhagen, Denmark. The prognostic model was generated employing multivariate Cox regression analysis modeling overall survival. Results The following poor prognostic factors were included in the final prognostic model for overall survival: Age (10-year increase: HR = 1.18, 95% CI: 1.08–1.28, p < 0.001), ECOG performance status (PS) 1 vs. 0 (HR = 1.30, 95% CI: 1.07–1.57, p = 0.007), PS 2 vs. 0 (HR = 2.99, 95% CI: 1.99–4.50, p < 0.001), corticosteroid use (HR = 1.42, 95% CI: 1.18–1.70, p < 0.001), multifocal disease (HR = 1.63, 95% CI: 1.25–2.13, p < 0.001), biopsy vs. resection (HR = 1.35, 95% CI: 1.04–1.72, p = 0.02), un-methylated promoter of the MGMT (O6-methylguanine-DNA methyltransferase) gene (HR = 1.71, 95% CI: 1.42–2.04, p < 0.001). The model was validated internally and had a concordance index of 0.65. Conclusion A nomogram for overall survival was established. This model can be used for risk stratification and treatment planning, as well as improve enrollment criteria for clinical trials.
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Affiliation(s)
- Armita Armina Abedi
- Department of Radiation Biology, The Finsen Center, Rigshospitalet, Copenhagen, Denmark.,Department of Oncology, The Finsen Center, Rigshospitalet, Copenhagen, Denmark
| | - Kirsten Grunnet
- Department of Radiation Biology, The Finsen Center, Rigshospitalet, Copenhagen, Denmark.,Department of Oncology, The Finsen Center, Rigshospitalet, Copenhagen, Denmark
| | | | - Signe Regner Michaelsen
- Department of Radiation Biology, The Finsen Center, Rigshospitalet, Copenhagen, Denmark.,Biotech, Research & Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark
| | - Aida Muhic
- Department of Oncology, The Finsen Center, Rigshospitalet, Copenhagen, Denmark
| | - Søren Møller
- Department of Radiation Biology, The Finsen Center, Rigshospitalet, Copenhagen, Denmark.,Department of Oncology, The Finsen Center, Rigshospitalet, Copenhagen, Denmark
| | - Benedikte Hasselbalch
- Department of Radiation Biology, The Finsen Center, Rigshospitalet, Copenhagen, Denmark.,Department of Oncology, The Finsen Center, Rigshospitalet, Copenhagen, Denmark
| | - Hans Skovgaard Poulsen
- Department of Radiation Biology, The Finsen Center, Rigshospitalet, Copenhagen, Denmark.,Department of Oncology, The Finsen Center, Rigshospitalet, Copenhagen, Denmark
| | - Thomas Urup
- Department of Radiation Biology, The Finsen Center, Rigshospitalet, Copenhagen, Denmark.,Department of Oncology, The Finsen Center, Rigshospitalet, Copenhagen, Denmark
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14
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Analysis of Factors Associated with Long-Term Survival in Patients with Glioblastoma. World Neurosurg 2021; 149:e758-e765. [PMID: 33540096 DOI: 10.1016/j.wneu.2021.01.103] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 01/20/2021] [Accepted: 01/21/2021] [Indexed: 11/20/2022]
Abstract
BACKGROUND Some patients with glioblastoma multiforme (GBM) survive 3-5 years (or longer) after diagnosis. The goal of this study was to identify differences between the long-term survivors (LTS) and those who had a shorter overall survival (non-LTS groups). METHODS This study was a retrospective analysis of prospectively maintained surgical databases. All patients who underwent safe maximal resection for GBM were included. Demographic, clinical, radiologic, and pathologic data were obtained from electronic medical records. Values of the biomarkers of systemic inflammation were computed from the preoperative hemogram reports. Patients with an overall survival (OS) ≥36 months were defined as the LTS group and were compared with the non-LTS groups (OS<36 months). RESULTS Patients in the LTS group were younger, had a better baseline performance status, and were more likely to have undergone near- or gross-total resection. LTS was associated with lower Ki67 labeling, MGMT methylation, IDH mutation, and lack of p53 overexpression. Several novel findings were generated by this study. A longer pretreatment duration of symptoms was associated with a longer OS. Higher pretreatment levels of the absolute neutrophil count, neutrophil-lymphocyte ratio, monocyte-lymphocyte ratio, derived neutrophil-lymphocyte ratio and systemic index of inflammation, and lower levels of the absolute eosinophil count and eosinophil-lymphocyte ratio all correlated with a shorter OS. CONCLUSIONS Several differences were identified between the LTS and non-LTS groups. These differences will likely be incorporated into future prognostic models. They may also aid in differentiation between recurrent disease and treatment-related changes.
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15
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Low MGMT digital expression is associated with a better outcome of IDH1 wildtype glioblastomas treated with temozolomide. J Neurooncol 2021; 151:135-144. [PMID: 33400009 DOI: 10.1007/s11060-020-03675-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 12/10/2020] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Glioblastoma (GBM) is the deadliest primary brain tumor. The standard treatment consists of surgery, radiotherapy, and temozolomide (TMZ). TMZ response is heterogeneous, and MGMT promoter (MGMTp) methylation has been the major predictive biomarker. We aimed to describe the clinical and molecular data of GBMs treated with TMZ, compare MGMT methylation with MGMT expression, and further associate with patient's outcome. METHODS We evaluate 112 FFPE adult GBM cases. IDH1 and ATRX expression was analyzed by immunohistochemistry, hotspot TERT promoter (TERTp) mutations were evaluated by Sanger or pyrosequencing, and MGMTp methylation was assessed by pyrosequencing and MGMT mRNA expression using the nCounter® Vantage 3D™ DNA damage and repair panel. RESULTS Of the 112 GBMs, 96 were IDH1WT, and 16 were IDH1MUT. Positive ATRX expression was found in 91.6% (88/96) of IDHWT and 43.7% (7/16) of IDHMUT. TERTp mutations were detected in 70.4% (50/71) of IDHWT. MGMTp methylation was found in 55.5% (35/63) of IDHWT and 84.6% (11/13) of IDHMUT, and as expected, MGMTp methylation was significantly associated with a better response to TMZ. MGMT expression was inversely correlated with MGMTp methylation levels (- 0.506, p < 0.0001), and MGMT low expression were significantly associated with better patient survival. It was also observed that integrating MGMTp methylation and expression, significantly improved the prognostication value. CONCLUSIONS MGMT mRNA levels evaluated by digital expression were associated with the outcome of TMZ-treated GBM patients. The combination of MGMT methylation and mRNA expression may provide a more accurate prediction of TMZ response in GBM patients.
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16
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Zhang Y, Mudgal P, Wang L, Wu H, Huang N, Alexander PB, Gao Z, Ji N, Li QJ. T cell receptor repertoire as a prognosis marker for heat shock protein peptide complex-96 vaccine trial against newly diagnosed glioblastoma. Oncoimmunology 2020; 9:1749476. [PMID: 32313731 PMCID: PMC7153824 DOI: 10.1080/2162402x.2020.1749476] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 03/03/2020] [Accepted: 03/11/2020] [Indexed: 12/02/2022] Open
Abstract
Glioblastoma multiforme (GBM) is the most common primary malignant brain tumor in adults with a dismal prognosis. We previously reported that vaccination with heat shock protein peptide complex-96 (HSPPC-96) improves survival in patients with newly diagnosed GBM (NCT02122822). Especially for patients with a strong antitumor immune response after vaccination, a durable survival benefit can be achieved. Here, we conducted T cell receptor (TCR) sequencing to retrospectively examine the TCR repertoires of tumor-infiltrating lymphocytes in long-term survivors (LTS) and short-term survivors (STS). We found that LTS exhibit lower TCR repertoire diversity compared with STS, indicating the prevalence of dominant TCR clones in LTS tumors. Accordingly, the LTS group showed increased inter-patient similarity, especially among high-frequency TCR clones, implying some of these dominant clones are shared among LTS. Indeed, we discovered four TCR clones significantly enriched in the LTS group: the presence of these clones has predictive value for stratifying patients prior to vaccination. Together, these findings uncover a group of preexisting TCR clones shared in LTS that can be utilized as candidate biomarkers to select GBM patients most likely to durably respond to HSPPC-96 treatment.
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Affiliation(s)
- Yang Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | | | - Liuyang Wang
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC, USA
| | | | - Na Huang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | | | - Zhixian Gao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Nan Ji
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Qi-Jing Li
- Department of Immunology, Duke University Medical Center, Durham, NC, USA
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17
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Li J, Liu S, Qin Y, Zhang Y, Wang N, Liu H. High-order radiomics features based on T2 FLAIR MRI predict multiple glioma immunohistochemical features: A more precise and personalized gliomas management. PLoS One 2020; 15:e0227703. [PMID: 31968004 PMCID: PMC6975558 DOI: 10.1371/journal.pone.0227703] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Accepted: 12/24/2019] [Indexed: 02/07/2023] Open
Abstract
Objective To investigate the performance of high-order radiomics features and models based on T2-weighted fluid-attenuated inversion recovery (T2 FLAIR) in predicting the immunohistochemical biomarkers of glioma, in order to execute a non-invasive, more precise and personalized glioma disease management. Methods 51 pathologically confirmed gliomas patients committed in our hospital from March 2015 to June 2018 were retrospective analysis, and Ki-67, vimentin, S-100 and CD34 immunohistochemical data were collected. The volumes of interest (VOIs) were manually sketched and the radiomics features were extracted. Feature reduction was performed by ANOVA+ Mann-Whiney, spearman correlation analysis, least absolute shrinkage and selection operator (LASSO) and Gradient descent algorithm (GBDT). SMOTE technique was used to solve the data bias between two groups. Comprehensive binary logistic regression models were established. Area under the ROC curves (AUC), sensitivity, specificity and accuracy were used to evaluate the predict performance of models. Models reliability were decided according to the standard net benefit of the decision curves. Results Four clusters of significant features were screened out and four predicting models were constructed. AUC of Ki-67, S-100, vimentin and CD34 models were 0.713, 0.923, 0.854 and 0.745, respectively. The sensitivities were 0.692, 0.893, 0.875 and 0.556, respectively. The specificities were: 0.667, 0.905, 0.722, and 0.875, with accuracy of 0.660, 0.898, 0.738, and 0.667, respectively. According to the decision curves, the Ki-67, S-100 and vimentin models had reference values. Conclusion The radiomics features based on T2 FLAIR can potentially predict the Ki-67, S-100, vimentin and CD34 expression. Radiomics model were expected to be a computer-intelligent, non-invasive, accurate and personalized management method for gliomas.
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Affiliation(s)
- Jing Li
- Department of Radiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Department of Radiology, Tangshan Women and Children’s Hospital, Tangshan, Hebei, China
| | - Siyun Liu
- Life Science, GE Healthcare, Beijing, China
| | - Ying Qin
- Life Science, GE Healthcare, Beijing, China
| | - Yan Zhang
- Department of Radiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Ning Wang
- Department of Radiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Huaijun Liu
- Department of Radiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- * E-mail:
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18
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Xue J, Gao HX, Sang W, Cui WL, Liu M, Zhao Y, Wang MB, Wang Q, Zhang W. Identification of core differentially methylated genes in glioma. Oncol Lett 2019; 18:6033-6045. [PMID: 31788078 PMCID: PMC6864971 DOI: 10.3892/ol.2019.10955] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Accepted: 08/20/2019] [Indexed: 12/17/2022] Open
Abstract
Differentially methylated genes (DMGs) serve a crucial role in the pathogenesis of glioma via the regulation of the cell cycle, proliferation, apoptosis, migration, infiltration, DNA repair and signaling pathways. This study aimed to identify aberrant DMGs and pathways by comprehensive bioinformatics analysis. The gene expression profile of GSE28094 was downloaded from the Gene Expression Omnibus (GEO) database, and the GEO2R online tool was used to find DMGs. Gene Ontology (GO) functional analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis of the DMGs were performed by using the Database for Annotation Visualization and Integrated Discovery. A protein-protein interaction (PPI) network was constructed with Search Tool for the Retrieval of Interacting Genes. Analysis of modules in the PPI networks was performed by Molecular Complex Detection in Cytoscape software, and four modules were performed. The hub genes with a high degree of connectivity were verified by The Cancer Genome Atlas database. A total of 349 DMGs, including 167 hypermethylation genes, were enriched in biological processes of negative and positive regulation of cell proliferation and positive regulation of transcription from RNA polymerase II promoter. Pathway analysis enrichment revealed that cancer regulated the pluripotency of stem cells and the PI3K-AKT signaling pathway, whereas 182 hypomethylated genes were enriched in biological processes of immune response, cellular response to lipopolysaccharide and peptidyl-tyrosine phosphorylation. Pathway enrichment analysis revealed cytokine-cytokine receptor interaction, type I diabetes mellitus and TNF signaling pathway. A total of 20 hub genes were identified, of which eight genes were associated with survival, including notch receptor 1 (NOTCH1), SRC proto-oncogene (also known as non-receptor tyrosine kinase, SRC), interleukin 6 (IL6), matrix metallopeptidase 9 (MMP9), interleukin 10 (IL10), caspase 3 (CASP3), erb-b2 receptor tyrosine kinase 2 (ERBB2) and epidermal growth factor (EGF). Therefore, bioinformatics analysis identified a series of core DMGs and pathways in glioma. The results of the present study may facilitate the assessment of the tumorigenicity and progression of glioma. Furthermore, the significant DMGs may provide potential methylation-based biomarkers for the precise diagnosis and targeted treatment of glioma.
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Affiliation(s)
- Jing Xue
- Department of Pathology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830054, P.R. China.,Department of Pathology, Xinjiang Medical University, Urumqi, Xinjiang 830011, P.R. China.,Department of Pathology, The Fourth Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830000, P.R. China
| | - Hai-Xia Gao
- Department of Pathology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830054, P.R. China.,Department of Pathology, Xinjiang Medical University, Urumqi, Xinjiang 830011, P.R. China
| | - Wei Sang
- Department of Pathology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830054, P.R. China
| | - Wen-Li Cui
- Department of Pathology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830054, P.R. China
| | - Ming Liu
- Department of Pathology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830054, P.R. China
| | - Yan Zhao
- Department of Pathology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830054, P.R. China
| | - Meng-Bo Wang
- Department of Pathology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830054, P.R. China.,Department of Pathology, Xinjiang Medical University, Urumqi, Xinjiang 830011, P.R. China
| | - Qian Wang
- Department of Pathology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830054, P.R. China
| | - Wei Zhang
- Department of Pathology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830054, P.R. China
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19
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Yang Y, Yan R, Zhang L, Meng X, Sun W. Primary glioblastoma transcriptome data analysis for screening survival-related genes. J Cell Biochem 2019; 121:1901-1910. [PMID: 31633244 DOI: 10.1002/jcb.29425] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Accepted: 10/08/2019] [Indexed: 01/27/2023]
Abstract
PURPOSE The aim of this study was to screen survival-related genes for glioblastoma (GBM). METHODS GSE53733 was downloaded from Gene Expression Omnibus (GEO) database, including 16 short-term (ST), 31 intermediate (IM), and 23 long-term (LT) survivors. Analysis of variance was used to analyze the expression in three groups. The genes with P < .01 were screened as differentially expressed genes (DEGs). Soft clustering was performed using Mfuzz to mine the expression patterns of differential genes in three groups of overall survival (OS) classification. The cytoscape plugin clueGO was used for functional enrichment analysis. The protein interaction between differential genes was extracted from the STRING V10 database, and the protein-protein interaction (PPI) network was constructed and displayed with cytoscape. The hub genes were verified by quantitative reverse-transcription polymerase chain reaction. RESULTS Total 662 DEGs were obtained among three groups and enriched in 12 clusters. The overlap analysis between clusters could classify these 12 clusters Cluster A and B. Total 264 OS.DEGs were contained in Cluter A and Cluster B, and enriched in 28 Gene Ontology terms, such as trophoblast giant cell differentiation (P value = 6.18E-04), muscle fiber development (P value = 9.09E-04), and negative regulation of stem cell differentiation (P value = 1.76E-03). The top five nodes with highest degree in OS.PPI were HDAC1, DECR1, RASL11A, PDIA3, and POLR2F. The expression of DECR1 and POLR2F was significantly lower, while the levels of HDAC1 and PDIA3 were highly expressed in GBM tissues. CONCLUSION DECR1, POLR2F, HDAC1, and PDIA3 might be potential key genes affected the overall survival time of patients with GBM.
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Affiliation(s)
- Ying Yang
- Intensive Care Unit, Affiliated Hospital of Jining Medical University, Jining, China
| | - Ranran Yan
- Intensive Care Unit, Affiliated Hospital of Jining Medical University, Jining, China
| | - Liwen Zhang
- Intensive Care Unit, Affiliated Hospital of Jining Medical University, Jining, China
| | - Xiangli Meng
- Nursing Department, Affiliated Hospital of Jining Medical University, Jining, China
| | - Wen Sun
- Teaching Administration Office, Affiliated Hospital of Jining Medical University, Jining, China
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20
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Gately L, McLachlan SA, Philip J, Rathi V, Dowling A. Molecular profile of long-term survivors of glioblastoma: A scoping review of the literature. J Clin Neurosci 2019; 68:1-8. [PMID: 31416731 DOI: 10.1016/j.jocn.2019.08.017] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 06/17/2019] [Accepted: 08/04/2019] [Indexed: 02/06/2023]
Abstract
Molecular aberrations of malignancy are becoming widely recognized as important predictive and prognostic markers for treatment response and survival in oncology and have been linked to the discovery of novel treatment targets. This area of research in glioblastoma continues to evolve. The aim of this scoping review was to document the hallmark molecular characteristics of long-term survivors of glioblastoma. MEDLINE, Scopus and EMBASE were searched with core concepts: (1) glioblastoma, (2) long-term survivor and (3) molecular OR mutation. A thematic analysis was undertaken of the 18 included studies. Four main classes of characteristics were obtained: IDH mutation, MGMT methylation, other known characteristics and novel discoveries. While MGMT methylation or the combination with IDH mutation are suggested to be hallmark characteristics, there remains enough uncertainty to suggest further factors may be involved, such as CD34 expression. Further research is required to accurately describe hallmark molecular characteristics of long-term survivors to assist in defining these patients at diagnosis, preventing treatment complications and discovering novel treatments.
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Affiliation(s)
- L Gately
- Department of Medical Oncology, St Vincent's Hospital, Melbourne, Australia.
| | - S A McLachlan
- Department of Medical Oncology, St Vincent's Hospital, Melbourne, Australia
| | - J Philip
- Department of Medicine, University of Melbourne, Australia
| | - V Rathi
- Department of Anatomical Pathology, St Vincent's Hospital, Melbourne, Australia; Department of Pathology, University of Melbourne, Australia
| | - A Dowling
- Department of Medical Oncology, St Vincent's Hospital, Melbourne, Australia
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21
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Liu LY, Ji MS, Nguyen NT, Chow FE, Molaie DM, Pianka ST, Green RM, Liau LM, Ellingson BM, Nghiemphu PL, Cloughesy TF, Lai A. Patterns of long-term survivorship following bevacizumab treatment for recurrent glioma: a case series. CNS Oncol 2019; 8:CNS35. [PMID: 31293169 PMCID: PMC6713025 DOI: 10.2217/cns-2019-0007] [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: 12/19/2022] Open
Abstract
Aim: Long-term survivors (LTS) after glioma recurrence while on bevacizumab (Bev) therapy are rarely reported in the current literature. The purpose of this case series is to confirm the existence of and describe a large cohort of recurrent glioma LTS treated with Bev (Bev-LTS). Patients & methods: We identified Bev-LTS as patients with post-Bev initiation survival times of ≥3 years among 1397 Bev treated recurrent glioma patients. Results: Among 962 grade-IV, 221 grade III, and 214 grade II Bev-treated glioma patients, we identified 28 (2.9%), 14 (6.3%) and 8 (3.7%) Bev-LTS patients, respectively. 45 Bev-LTS patients recurred on Bev, with 36 of those patients continuing therapy. Conclusion: Our study shows that a small portion of grade-IV, -III, and -II glioma patients can have long-term survival on Bev therapy even after Bev recurrence.
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Affiliation(s)
- Liang Yen Liu
- Department of Neurology, University of California, Los Angeles, 710 Westwood Plaza RNRC #1-230, Los Angeles, CA 90095, USA
| | - Matthew S Ji
- Department of Neurology, University of California, Los Angeles, 710 Westwood Plaza RNRC #1-230, Los Angeles, CA 90095, USA
| | - Nhung T Nguyen
- Department of Neurology, University of California, Los Angeles, 710 Westwood Plaza RNRC #1-230, Los Angeles, CA 90095, USA
| | - Frances E Chow
- Department of Neurology, University of California, Los Angeles, 710 Westwood Plaza RNRC #1-230, Los Angeles, CA 90095, USA
| | - Donna M Molaie
- Department of Neurology, University of California, Los Angeles, 710 Westwood Plaza RNRC #1-230, Los Angeles, CA 90095, USA
| | - Sean T Pianka
- Department of Neurology, University of California, Los Angeles, 710 Westwood Plaza RNRC #1-230, Los Angeles, CA 90095, USA
| | - Richard M Green
- Department of Neurology, Kaiser Permanente, Southern California, 4867 W Sunset Blvd, Los Angeles, CA 90027, US
| | - Linda M Liau
- Department of Neurosurgery, University of California, Los Angeles, Edie & Lew Wasserman Building, 300 Stein Plaza, Ste. 420, Los Angeles, CA 90095, USA
| | - Benjamin M Ellingson
- Department of Radiological Sciences & Psychiatry, University of California, Los Angeles, 924 Westwood Blvd, Ste. 615, Los Angeles, CA 90024, USA
| | - Phioanh L Nghiemphu
- Department of Neurology, University of California, Los Angeles, 710 Westwood Plaza RNRC #1-230, Los Angeles, CA 90095, USA
| | - Timothy F Cloughesy
- Department of Neurology, University of California, Los Angeles, 710 Westwood Plaza RNRC #1-230, Los Angeles, CA 90095, USA
| | - Albert Lai
- Department of Neurology, University of California, Los Angeles, 710 Westwood Plaza RNRC #1-230, Los Angeles, CA 90095, USA
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22
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Jovčevska I. Genetic secrets of long-term glioblastoma survivors. Bosn J Basic Med Sci 2019; 19:116-124. [PMID: 30114377 DOI: 10.17305/bjbms.2018.3717] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Accepted: 07/25/2018] [Indexed: 12/12/2022] Open
Abstract
Glioblastomas are the most aggressive and lethal primary astrocytic tumors of the central nervous system. They account for 60% to 70% of all gliomas and the majority are diagnosed in Caucasian male patients at advanced age. Genetic analyses of glioblastoma show a great intra- and inter-tumor heterogeneity, which opens up a debate about its cellular origin. Different types of brain cells, including astrocytes, neural stem cells, oligodendrocyte precursor cells and glioblastoma stem cells are proposed to have a role in tumor initiation and spreading; however, data is still inconclusive. Due to short life expectancy, long-term glioblastoma survivors are defined as patients who live longer than two years post-diagnosis. Extreme survivors, living 10 years or more after diagnosis, comprise less than 1% of all patients. Molecular testing indicates genetic differences between short- and long-term survivors with glioblastoma. The most informative are IDH1/2 gene mutations and MGMT promoter methylation, which are associated with a better response to standard clinical care. Moreover, a decreased expression of the CHI3L1, FBLN4, EMP3, IGFBP2, IGFBP3, LGALS3, MAOB, PDPN, SERPING1 and TIMP1 genes has been associated with prolonged survival. In addition, emerging evidence suggests the role of different microRNAs in predicting patient survival. Other factors that may affect the survival of glioblastoma patients include clinical/demographic characteristics such as seizures at presentation, age at diagnosis, and the extent of surgical resection. Because of the small number of long-term survivors with glioblastoma, comparative studies on genetic differences between short- and long-term survivors are challenging. To improve patient management and clinical outcomes, a thorough "omics" approach is necessary for identifying differences between short- and long-term survivors with glioblastoma.
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Affiliation(s)
- Ivana Jovčevska
- Medical Center for Molecular Biology, Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
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