1
|
Diffuse leptomeningeal glioneuronal tumor in a Chinese adult: a novel case report and review of literature. Acta Neurol Belg 2020; 120:247-256. [PMID: 31875302 DOI: 10.1007/s13760-019-01262-9] [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: 10/31/2019] [Accepted: 12/11/2019] [Indexed: 02/06/2023]
Abstract
Diffuse leptomeningeal glioneuronal tumor (DLGNT) is a rare glioma tumor classified by the World Health Organization as a central nervous system tumor in 2016. DLGNT is most common in children and adolescents but is rare in adults. A 25-year-old male patient was admitted due to recurrent seizures. Head magnetic resonance imaging revealed lesions in the right temporal lobe, which were considered to be intracranial tumors with variable properties. The patient was admitted for surgical treatment. After admission, it was confirmed that seizures were associated with right temporal lobe lesions. Right temporal epileptogenic focus resection was performed by craniotomy. Immunohistochemistry revealed that tumor cells were reactive for oligodendrocyte transcription factor 2, synaptophysin, S100 proteins, and α-thalassemia mental retardation X-linked; and partially reactive for neuronal nuclei, glial fibrillary acidic protein, and nestin. The vascular wall was reactive for vimentin, CD34, CD31, and smooth muscle actin. Ki-67 was 4%. Molecular detection demonstrated 1p36 deletion, O6-methylguanine-DNA-methyltransferase methylation, and positive v-raf murine sarcoma viral oncogene homolog B mutation. DLGNT. The patient recovered well after surgery and received 54 Gy/27f radiotherapy without neurological dysfunction and seizures. In this study, onset age, tumor site, tumor increment coefficient, molecular detection, treatment methods, and prognosis of 54 patients were summarized from 19 studies. DLGNT patients are characterized by more singular tumor site, smaller volume, lower increment coefficient, and longer stable disease period. Patients with DLGNT may also have a longer stable condition in cases of molecular detection of 1p/19q deletion, or BRAF fusion.
Collapse
|
2
|
Bagley SJ, Schwab RD, Nelson E, Viaene AN, Binder ZA, Lustig RA, O'Rourke DM, Brem S, Desai AS, Nasrallah MP. Histopathologic quantification of viable tumor versus treatment effect in surgically resected recurrent glioblastoma. J Neurooncol 2018; 141:421-429. [PMID: 30446903 DOI: 10.1007/s11060-018-03050-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2018] [Accepted: 11/12/2018] [Indexed: 11/30/2022]
Abstract
PURPOSE The prognostic impact of the histopathologic features of recurrent glioblastoma surgical specimens is unknown. We sought to determine whether key histopathologic characteristics in glioblastoma tumors resected after chemoradiotherapy are associated with overall survival (OS). METHODS The following characteristics were quantified in recurrent glioblastoma specimens at our institution: extent of viable tumor (accounting for % of specimen comprised of tumor and tumor cellularity), mitoses per 10 high-power fields (0, 1-10, > 10), Ki-67 proliferative index (0-100%), hyalinization (0-6; none to extensive), rarefaction (0-6), hemosiderin (0-6), and % of specimen comprised of geographic necrosis (0-100%; converted to 0-6 scale). Variables associated with OS in univariate analysis, as well as age, eastern cooperative oncology group performance status (ECOG PS), extent of repeat resection, time from initial diagnosis to repeat surgery, and O6-methylguanine-DNA methyltransferase promoter methylation, were included in a multivariable Cox proportional hazards model. RESULTS 37 specimens were assessed. In a multivariate model, high Ki-67 proliferative index was the only histopathologic characteristic associated with worse OS following repeat surgery for glioblastoma (hazard ratio (HR) 1.3, 95% CI 1.1-1.5, p = 0.003). Shorter time interval from initial diagnosis to repeat surgery (HR 1.11, 95% CI 1.02-1.21, p = 0.016) and ECOG PS ≥ 2 (HR 4.19, 95% CI 1.72-10.21, p = 0.002) were also independently associated with inferior OS. CONCLUSION In patients with glioblastoma undergoing repeat resection following chemoradiotherapy, high Ki-67 index in the recurrent specimen, short time to recurrence, and poor PS are independently associated with worse OS. Histopathologic quantification of viable tumor versus therapy-related changes has limited prognostic influence.
Collapse
Affiliation(s)
- Stephen J Bagley
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Robert D Schwab
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ernest Nelson
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Angela N Viaene
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Zev A Binder
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Robert A Lustig
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Donald M O'Rourke
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Steven Brem
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Arati S Desai
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - MacLean P Nasrallah
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
3
|
Wong E, Nahar N, Hau E, Varikatt W, Gebski V, Ng T, Jayamohan J, Sundaresan P. Cut-point for Ki-67 proliferation index as a prognostic marker for glioblastoma. Asia Pac J Clin Oncol 2018; 15:5-9. [DOI: 10.1111/ajco.12826] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Accepted: 10/15/2017] [Indexed: 11/27/2022]
Affiliation(s)
- Eugene Wong
- Sydney Medical School; University of Sydney; Sydney Australia
- Royal North Shore Hospital; St Leonards NSW Australia
| | - Najmun Nahar
- Department of Radiation Oncology; Crown Princess Mary Cancer Centre; Westmead Hospital; Westmead Australia
| | - Eric Hau
- Sydney Medical School; University of Sydney; Sydney Australia
- Department of Radiation Oncology; Crown Princess Mary Cancer Centre; Westmead Hospital; Westmead Australia
| | - Winny Varikatt
- Sydney Medical School; University of Sydney; Sydney Australia
- Department of Anatomical Pathology; ICPMR; Westmead NSW Australia
| | - Val Gebski
- Department of Radiation Oncology; Crown Princess Mary Cancer Centre; Westmead Hospital; Westmead Australia
- NHMRC Clinical Trials Centre; University of Sydney; Sydney Australia
| | - Thomas Ng
- Department of Anatomical Pathology; ICPMR; Westmead NSW Australia
| | - Jayasingham Jayamohan
- Department of Radiation Oncology; Crown Princess Mary Cancer Centre; Westmead Hospital; Westmead Australia
| | - Puma Sundaresan
- Sydney Medical School; University of Sydney; Sydney Australia
- Department of Radiation Oncology; Crown Princess Mary Cancer Centre; Westmead Hospital; Westmead Australia
| |
Collapse
|
4
|
Thuy MN, Kam JK, Lee GC, Tao PL, Ling DQ, Cheng M, Goh SK, Papachristos AJ, Shukla L, Wall KL, Smoll NR, Jones JJ, Gikenye N, Soh B, Moffat B, Johnson N, Drummond KJ. A novel literature-based approach to identify genetic and molecular predictors of survival in glioblastoma multiforme: Analysis of 14,678 patients using systematic review and meta-analytical tools. J Clin Neurosci 2015; 22:785-99. [DOI: 10.1016/j.jocn.2014.10.029] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2014] [Revised: 10/21/2014] [Accepted: 10/25/2014] [Indexed: 01/08/2023]
|
5
|
Clinical neuropathology practice guide 3-2013: levels of evidence and clinical utility of prognostic and predictive candidate brain tumor biomarkers. Clin Neuropathol 2013; 32:148-58. [PMID: 23618424 PMCID: PMC3663466 DOI: 10.5414/np300646] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
A large number of potential tissue biomarkers has been proposed for brain tumors. However, hardly any have been adopted for routine clinical use, so far. For most candidate biomarkers substantial controversy exists with regard to their usefulness in clinical practice. The multidisciplinary neurooncology taskforce of the Vienna Comprehensive Cancer Center Central Nervous System Unit (CCC-CNS) addressed this issue and elaborated a four-tiered levels-of-evidence system for assessing analytical performance (reliability of test result) and clinical performance (prognostic or predictive) based on consensually defined criteria. The taskforce also consensually agreed that only biomarker candidates should be considered as ready for clinical use, which meet defined quality standards for both, analytical and clinical performance. Applying this levels-of-evidence system to MGMT, IDH1, 1p19q, Ki67, MYCC, MYCN and β-catenin, only immunohistochemical IDH1 mutation testing in patients with diffuse gliomas is supported by sufficient evidence in order to be unequivocally qualified for clinical use. For the other candidate biomarkers lack of published evidence of sufficiently high analytical test performance and, in some cases, also of clinical performance limits evidence-based confirmation of their clinical utility. For most of the markers, no common standard of laboratory testing exists. We conclude that, at present, there is a strong need for studies that specifically address the analytical performance of candidate brain tumor biomarkers. In addition, standardization of laboratory testing is needed. We aim to regularly challenge and update the present classification in order to systematically clarify the current translational status of candidate brain tumor biomarkers and to identify specific research needs for accelerating the translational pace.
Collapse
|
6
|
Chiba Y, Hashimoto N, Tsuboi A, Rabo C, Oka Y, Kinoshita M, Kagawa N, Oji Y, Sugiyama H, Yoshimine T. Prognostic value of WT1 protein expression level and MIB-1 staining index as predictor of response to WT1 immunotherapy in glioblastoma patients. Brain Tumor Pathol 2010; 27:29-34. [PMID: 20425045 DOI: 10.1007/s10014-010-0265-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2009] [Accepted: 01/17/2010] [Indexed: 11/29/2022]
Abstract
The use of Wilms' tumor 1 (WT1) immunotherapy is considered to be an innovative approach for the treatment of malignant gliomas. Because of its novelty, tools that can accurately predict response to this therapy are still lacking. In this article, we investigated the role of WT1 protein expression level (score 1-4) and MIB-1 staining index in predicting survival outcome after therapy in patients with recurrent or progressive glioblastoma multiforme. Tumor samples from 37 patients enrolled in a phase II clinical trial on WT1 immunotherapy were immunohistochemically analyzed for WT1 levels and MIB-1 index. Results showed that median progression-free survival (PFS) was longer in the WT1 high expression group (score 3 and 4) compared with that of the low expression group (score 1 and 2) (20.0 weeks vs. 8.0 weeks; P = 0.022), and that the median overall survival (OS) was likewise longer in the former compared to the latter group (54.4 weeks vs. 28.4 weeks; P = 0.035). Furthermore, within the WT1 high expression group, tumors with intermediate staining intensity (WT1 score 3) have both the longest median PFS and OS, 24.4 weeks and 69.4 weeks, respectively. On the other hand, no significant correlation was noted between MIB-1 staining index and survival. In conclusion, our study has shown that WT1 protein expression level, not MIB-1 staining index, can be used as a prognostic marker to foretell outcome after immunotherapy, and that patients whose tumors have intermediate WT1 expression have the best survival outcome.
Collapse
Affiliation(s)
- Yasuyoshi Chiba
- Department of Neurosurgery, Osaka University Graduate School of Medicine, 2-2 Yamada-oka, Suita, Osaka 565-0871, Japan
| | | | | | | | | | | | | | | | | | | |
Collapse
|
7
|
Moskowitz SI, Jin T, Prayson RA. Role of MIB1 in predicting survival in patients with glioblastomas. J Neurooncol 2006; 76:193-200. [PMID: 16234986 DOI: 10.1007/s11060-005-5262-1] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
BACKGROUND Histologic immunomarkers of cell cycle proteins have been utilized for prognosis in high-grade astrocytic tumors. One such marker, MIB1, an antibody immunoreactive throughout the cell cycle, is predictive of more aggressive disease and poorer prognosis in astrocytomas. An independent role of MIB1 analysis for survival prediction and clinical management within histologic grades has not been clearly proven. METHODS This study retrospectively evaluated MIB1 reactivity in tissue samples from 116 patients with glioblastomas on initial medical presentation. Clinical variables considered included gender, age, Karnofsky Performance Scores (KPS), extent of surgical resection, adjuvant radiation and survival. RESULTS Univariate and multivariate analyses were used to correlate these variables with MIB1 staining. MIB1 staining does not predict overall survival or response to adjuvant therapy as an independent risk factor. CONCLUSION MIB1 labeling does not predict patient survival as an independent variable and does not predict response to additional therapies. Patient survival with glioblastoma was predicted by KPS, age, extent of resection and use of adjuvant radiotherapy.
Collapse
Affiliation(s)
- Shaye I Moskowitz
- Department of Neurosurgery, The Cleveland Clinic Foundation, Cleveland, OH 44195, USA
| | | | | |
Collapse
|
8
|
Preusser M, Gelpi E, Matej R, Marosi C, Dieckmann K, Rössler K, Budka H, Hainfellner JA. No prognostic impact of survivin expression in glioblastoma. Acta Neuropathol 2005; 109:534-8. [PMID: 15843906 DOI: 10.1007/s00401-005-0992-x] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2004] [Revised: 01/19/2005] [Accepted: 01/19/2005] [Indexed: 01/29/2023]
Abstract
Survivin is a member of a novel protein family of inhibitors of apoptosis, and also plays a role as a potent regulator of mitosis. In semiquantitative Western blot analysis of glioblastomas, survivin expression was shown to be a prognostically significant factor. In the present study we investigated the immunohistochemical expression of survivin and its prognostic impact in a large glioblastoma series comprising 104 consecutive adult patients undergoing a first operation for glioblastoma. We analyzed survivin, Ki-67, and topoisomerase-II-alpha expression in paraffin-embedded tissue, and correlated patient age, Karnofsky performance score, vascular pattern and survivin-, Ki-67-, topoisomerase-II-alpha-, and apoptotic indices with patient outcome using univariate and multivariate survival analysis. Survivin was expressed in all glioblastoma samples, and was prominent in a fraction of nuclei of tumor cells and vascular cells. Further, survivin labeled spindle- and chromosomal material of mitotic figures. Faint cytoplasmic expression was also seen. The survivin index showed significant correlation with Ki-67 and Topo-II-alpha indices. On average, 58.85% of Ki-67 and 91.08% of survivin-expressing nuclei co-expressed Ki-67 and survivin. The survivin index did not correlate significantly with overall survival, whereas patient age, Karnofsky performance score, vascular pattern, and Ki-67 and topoisomerase-II-alpha indices were associated with patient outcome. In summary, in glioblastoma, survivin is expressed predominantly in proliferating tumor cell nuclei. In contrast to Ki-67 and topoisomerase-II-alpha, survivin expression does not influence patient outcome. So, in contrast to Ki-67, survivin does not seem to be useful as prognostic factor in the clinical setting.
Collapse
Affiliation(s)
- Matthias Preusser
- Institute of Neurology, Medical University of Vienna, AKH 4J, Waehringer Guertel 18-20, POB 48, 1097, Vienna, Austria
| | | | | | | | | | | | | | | |
Collapse
|
9
|
Hagel C, Park SH, Puchner MJA, Stavrou D. CD44 expression and tumour cell density correlate with response to tamoxifen/carboplatin chemotherapy in glioblastomas. J Neurooncol 2004; 66:139-46. [PMID: 15015779 DOI: 10.1023/b:neon.0000013496.58236.f0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
In order to identify response predictors for a post-operative glioblastoma therapy consisting of tamoxifen, carboplatin and radiotherapy, expression of 12 antigens was evaluated in 36 newly diagnosed tumours and 13 recurrences. Results were correlated with the clinical course of the disease. Antigen expression was assessed immunohistochemically for CD44s, TGF-beta2, TGF-alpha, progesterone receptor, estrogen receptor, EGFR, urokinase, urokinase inhibitor 1, CD87, p53 protein and Ki-67. Vessel density was determined by labelling of endothelia with von Willebrand factor. Response to chemotherapy correlated positively with cell density (p < 0.05) and negatively with CD44 over-expression (p < 0.02). Further, a positive correlation between age and CD44 expression (p < 0.05) and a negative correlation between age and p53 accumulation (p < 0.01) was found. In tumour recurrences expression of CD44 was significantly higher in local recurrences than in distant multifocal recurrences (p < 0.02), suggesting that CD44 may predominantly be associated with cell adhesion in glioblastomas.
Collapse
Affiliation(s)
- Christian Hagel
- Institute of Neuropathology, University Klinicum Hamburg-Eppendorf, Hamburg, Germany.
| | | | | | | |
Collapse
|
10
|
Abstract
Dynamic susceptibility contrast imaging has proven to be useful in brain tumor studies, and it provides additional information on tumor characteristics based on the microvascular structure of gliomas. The cerebral blood volume maps can be used to noninvasively grade gliomas, to determine optimal biopsy sites, to separate radiation necrosis from tumor regrowth, and to plan and follow irradiation, chemo- and antiangiogenic therapy. Besides of cerebral blood volume mapping, dynamic susceptibility contrast imaging sets also contain information about the flow and permeability properties of the tumor microvascular system. When combined with the conventional MRI, dynamic susceptibility contrast techniques offer important functional information about the biology of gliomas in a cost-effective way.
Collapse
Affiliation(s)
- Hannu J Aronen
- Department of Clinical Radiology, Kuopio University Hospital, P.O. Box 1777, FIN-70211 Kuopio, Finland.
| | | |
Collapse
|
11
|
Korshunov A, Golanov A, Sycheva R. Immunohistochemical markers for prognosis of cerebral glioblastomas. J Neurooncol 2002; 58:217-36. [PMID: 12187957 DOI: 10.1023/a:1016218117251] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Glioblastoma is the commonest neuroectodermal tumor and the most malignant in the range of cerebral astrocytic gliomas. The prognostic utility of various biological markers for glioblastomas has been broadly tested but the results obtained are regarded as controversial. In the present study, 302 glioblastoma specimens were studied to evaluate a possible association between clinical outcome and expression of some immunohistochemical variables. Furthermore, tumors examined were subdivided on the three cytological subsets--small-cell (SGB), pleomorphic-cell (PGB) and gemistocytic (GGB). Immunohistochemical variables differed between various subsets: the number of p53-positive tumors was found to be prevailed among the PGB, whereas the number of tumors with EGFR and mdm2 positivity was significantly greater in SGB. GGB contained significantly lowest mean proliferating cell nuclear antigen (PCNA) labeling index (LI), greater number of p21ras positive cases, and higher mean apoptotic index (AI). Survival time in patients with SGB, EGFR and mdm2-positivity and PCNA LI >40% was found to be significantly shorter, whereas presence of p21ras and AI >0.5% were associated with prolonged survival. Multivariate analysis revealed that survival time is associated with SGB, EGFR-positivity, and AI (p = 0.0023, p = 0.0035 and p = 0.0029 respectively). We conclude that although some immunohistochemical variables were found to be significant for glioblastoma outcome, they appear to be closely related to biology of single cytological subsets. Furthermore, these variables exhibited no prognostic value when they were analyzed within each cytological subset separately. Therefore, the glioblastoma subdivision on three cytological subsets proposed by us is carrying some element of rationality but, undoubtedly, requires further prospective studies.
Collapse
Affiliation(s)
- Andrey Korshunov
- Department of Neuropathology, Neurosurgical NN Burdenko Institute, Moscow, Russia.
| | | | | |
Collapse
|
12
|
Bredel M, Piribauer M, Marosi C, Birner P, Gatterbauer B, Fischer I, Ströbel T, Rössler K, Budka H, Hainfellner JA. High expression of DNA topoisomerase IIalpha and Ki-67 antigen is associated with prolonged survival in glioblastoma patients. Eur J Cancer 2002; 38:1343-7. [PMID: 12091064 DOI: 10.1016/s0959-8049(02)00065-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Assessment of tumour cell proliferation in glioblastoma (GB) has been a topic of considerable research interest over the past decade. However, the correlation of tumour proliferation and patient outcome has yielded controversial results. In this study, we examined immunohistochemically, using paraffin-embedded tissue, the expression of the proliferation-related markers DNA topoisomerase IIalpha (TIIalpha) and Ki-67 antigen in a cohort of 114 GB patients treated consecutively with surgery and radiochemotherapy, and correlated the expression with patient outcome. The TIIalpha labelling index (LI) ranged between 5.2 and 87.2% (median: 25.6%). Survival analysis disclosed an association between high TIIalpha expression levels and prolonged survival (P=0.040, log-rank test). TIIalpha expression correlates closely with Ki-67 labelling index (R=0.927, P<0.001), which itself is predictive of patient survival (P=0.044). However, in multivariate analysis, only the Karnofsky performance status remained predictive of patient survival. We conclude that high expression of TIIalpha and Ki-67 appears to be associated with a prolonged survival in our cohort of GB patients.
Collapse
Affiliation(s)
- Markus Bredel
- Institute of Neurology, University of Vienna, AKH 4J, Währinger Gürtel 18-20, POB 48, Austria
| | | | | | | | | | | | | | | | | | | |
Collapse
|