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Jezierzański M, Nafalska N, Stopyra M, Furgoł T, Miciak M, Kabut J, Gisterek-Grocholska I. Temozolomide (TMZ) in the Treatment of Glioblastoma Multiforme-A Literature Review and Clinical Outcomes. Curr Oncol 2024; 31:3994-4002. [PMID: 39057168 PMCID: PMC11275351 DOI: 10.3390/curroncol31070296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2024] [Revised: 07/07/2024] [Accepted: 07/10/2024] [Indexed: 07/28/2024] Open
Abstract
Glioblastoma multiforme (GBM) is one of the most aggressive primary tumors of the central nervous system. It is associated with a very poor prognosis, with up to half of patients failing to survive the first year after diagnosis. It develops from glial tissue and belongs to the adult-type diffuse glioma group according to the WHO classification of 2021. Therapy for patients with GBM is currently based on surgical resection, radiation therapy, and chemotherapy, but despite many efforts, there has been minimal progress in tumor management. The most important chemotherapeutic agent in the treatment of this tumor is temozolomide (TMZ), a dacarbazine derivative that presents alkylating activity. It is usually administered to patients concurrently with radiation therapy after surgical resection of the tumor, which is defined as the Stupp protocol. Temozolomide demonstrates relatively good efficacy in therapy, but it could also present with several side effects. The resistance of GBM to the drug is currently the subject of work by specialists in the field of oncology, and its use in various regimens and patient groups may bring therapeutic benefits in the future. The aim of this review paper is to summarize the relevance of TMZ in the treatment of GBM based on recent reports.
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Affiliation(s)
- Marcin Jezierzański
- Faculty of Medicine, Silesian Medical University, 41-800 Zabrze, Poland; (N.N.); (M.S.); (T.F.)
| | - Natalia Nafalska
- Faculty of Medicine, Silesian Medical University, 41-800 Zabrze, Poland; (N.N.); (M.S.); (T.F.)
| | - Małgorzata Stopyra
- Faculty of Medicine, Silesian Medical University, 41-800 Zabrze, Poland; (N.N.); (M.S.); (T.F.)
| | - Tomasz Furgoł
- Faculty of Medicine, Silesian Medical University, 41-800 Zabrze, Poland; (N.N.); (M.S.); (T.F.)
| | - Michał Miciak
- Faculty of Medicine, Wroclaw Medical University, 50-367 Wroclaw, Poland;
| | - Jacek Kabut
- Department of Oncology and Radiotherapy, Silesian Medical University, Ceglana 35, 40-514 Katowice, Poland; (J.K.); (I.G.-G.)
| | - Iwona Gisterek-Grocholska
- Department of Oncology and Radiotherapy, Silesian Medical University, Ceglana 35, 40-514 Katowice, Poland; (J.K.); (I.G.-G.)
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Owens MR, Nguyen S, Karsy M. Utility of Administrative Databases and Big Data on Understanding Glioma Treatment—A Systematic Review. INDIAN JOURNAL OF NEUROSURGERY 2022. [DOI: 10.1055/s-0042-1742333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Abstract
Abstract
Background Gliomas are a heterogeneous group of tumors where large multicenter clinical and genetic studies have become increasingly popular in their understanding. We reviewed and analyzed the findings from large databases in gliomas, seeking to understand clinically relevant information.
Methods A systematic review was performed for gliomas studied using large administrative databases up to January 2020 (e.g., National Inpatient Sample [NIS], National Surgical Quality Improvement Program [NSQIP], and Surveillance, Epidemiology, and End Results Program [SEER], National Cancer Database [NCDB], and others).
Results Out of 390 screened studies, 122 were analyzed. Studies included a wide range of gliomas including low- and high-grade gliomas. The SEER database (n = 83) was the most used database followed by NCDB (n = 28). The most common pathologies included glioblastoma multiforme (GBM) (n = 67), with the next category including mixes of grades II to IV glioma (n = 31). Common study themes involved evaluation of descriptive epidemiological trends, prognostic factors, comparison of different pathologies, and evaluation of outcome trends over time. Persistent health care disparities in patient outcomes were frequently seen depending on race, marital status, insurance status, hospital volume, and location, which did not change over time. Most studies showed improvement in survival because of advances in surgical and adjuvant treatments.
Conclusions This study helps summarize the use of clinical administrative databases in gliomas research, informing on socioeconomic issues, surgical outcomes, and adjuvant treatments over time on a national level. Large databases allow for some study questions that would not be possible with single institution data; however, limitations remain in data curation, analysis, and reporting methods.
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Affiliation(s)
- Monica-Rae Owens
- Department of Neurosurgery, University of Utah, Utah, United States
| | - Sarah Nguyen
- Department of Neurosurgery, University of Utah, Utah, United States
| | - Michael Karsy
- University of Utah Health Care, University of Utah Health Hospitals and Clinics, Utah, United States
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Wen J, Chen W, Zhu Y, Zhang P. Clinical features associated with the efficacy of chemotherapy in patients with glioblastoma (GBM): a surveillance, epidemiology, and end results (SEER) analysis. BMC Cancer 2021; 21:81. [PMID: 33468109 PMCID: PMC7816395 DOI: 10.1186/s12885-021-07800-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 01/10/2021] [Indexed: 02/04/2023] Open
Abstract
Background Glioblastoma (GBM) is a highly malignant brain tumor with poor survival and prognosis. Randomized trials have demonstrated that chemotherapy improves survival in patients with GBM. This study aims to examine the clinical characteristics that are potentially associated with the efficacy of chemotherapy and the risk factors of GBM. Methods A total of 25,698 patients diagnosed with GBM were identified between 2004 and 2015 from the Surveillance, Epidemiology, and End Results (SEER). The clinical and demographic variables between groups were examined by Student’s t-test and Pearson’s chi-square test. GBM-specific survival (GBMSS) and overall survival (OS) were evaluated using the Kaplan-Meier method with the log-rank test. Univariable and multivariable analyses were also performed using the Cox proportional hazards model to identify statistically significant prognostic factors. Results Patients who received chemotherapy had better overall survival (median OS 13 vs. Three months, HR = 1.9224, 95%CI 1.8571–1.9900, p < 0.0001) and better GBMSS (median GBMSS of 12 vs. Three months, HR = 1.9379, 95%CI 1.8632–2.0156, p < 0.0001), compared to patients who did not. Further subgroup analysis revealed that among patients who underwent chemotherapy, those who were younger, with a supratentorial tumor, received surgery, or radiotherapy had both improved OS and GBMSS. Age, race, tumor location, tumor size, and treatments were identified as independent prognostic factors by multivariable analyses for patients with glioblastoma. Conclusion Patients with GBM who were younger (< 65 years), underwent surgery, or radiotherapy can benefit more from chemotherapeutic regimens. Age, race, tumor size, tumor location, surgery, radiotherapy, and chemotherapy were factors associated with the prognosis of patients with GBM. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-021-07800-0.
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Affiliation(s)
- Jieqiong Wen
- Department of Anesthesiology, The Second Affiliated Hospital of Xi'an Jiaotong University, 157# West 5 Road, Xi'an, 710004, Shaanxi, China
| | - Wanbin Chen
- Department of Marketing, The Johns Hopkins University Carey Business School, Baltimore, MD, USA
| | - Yayun Zhu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Pengbo Zhang
- Department of Anesthesiology, The Second Affiliated Hospital of Xi'an Jiaotong University, 157# West 5 Road, Xi'an, 710004, Shaanxi, China.
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Conti Nibali M, Gay LG, Sciortino T, Rossi M, Caroli M, Bello L, Riva M. Surgery for Glioblastoma in Elderly Patients. Neurosurg Clin N Am 2020; 32:137-148. [PMID: 33223022 DOI: 10.1016/j.nec.2020.08.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The management of glioblastoma in the elderly population represents a field of growing interest owing a longer life expectancy. In this age group, more than in the young adult, biological age is much more important than chronologic one. The date of birth should not exclude a priori access of treatments. Maximal safe resection is proved to be the first option when performance status and general health is good. Adjuvant therapy and decision about management of recurrence should be choose in a multidisciplinary group according to performance of the patients and O6-methylguanine-DNA methyl-transferase methylation.
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Affiliation(s)
- Marco Conti Nibali
- Department of Oncology and Hemato-Oncology, Via Festa del Perdono 7, Milan 20122, Italy; IRCCS Istituto Ortopedico Galeazzi, Neurochirurgia Oncologica, Milan, Italy.
| | - Lorenzo G Gay
- Department of Oncology and Hemato-Oncology, Via Festa del Perdono 7, Milan 20122, Italy; IRCCS Istituto Ortopedico Galeazzi, Neurochirurgia Oncologica, Milan, Italy
| | - Tommaso Sciortino
- Department of Oncology and Hemato-Oncology, Via Festa del Perdono 7, Milan 20122, Italy; IRCCS Istituto Ortopedico Galeazzi, Neurochirurgia Oncologica, Milan, Italy
| | - Marco Rossi
- Department of Oncology and Hemato-Oncology, Via Festa del Perdono 7, Milan 20122, Italy; IRCCS Istituto Ortopedico Galeazzi, Neurochirurgia Oncologica, Milan, Italy
| | - Manuela Caroli
- Unit of Neurosurgery, Fondazione IRCCS Ca' Grande Ospedale Maggiore Policlinico, Milan, Italy
| | - Lorenzo Bello
- Department of Oncology and Hemato-Oncology, Via Festa del Perdono 7, Milan 20122, Italy; IRCCS Istituto Ortopedico Galeazzi, Neurochirurgia Oncologica, Milan, Italy
| | - Marco Riva
- IRCCS Istituto Ortopedico Galeazzi, Neurochirurgia Oncologica, Milan, Italy; Department of Medical Biotechnology and Translational Medicine, Universita` degli Studi di Milano, Via Festa del Perdono 7, Milan 20122, Italy
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5
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Ius T, Somma T, Altieri R, Angileri FF, Barbagallo GM, Cappabianca P, Certo F, Cofano F, D'Elia A, Della Pepa GM, Esposito V, Fontanella MM, Germanò A, Garbossa D, Isola M, La Rocca G, Maiuri F, Olivi A, Panciani PP, Pignotti F, Skrap M, Spena G, Sabatino G. Is age an additional factor in the treatment of elderly patients with glioblastoma? A new stratification model: an Italian Multicenter Study. Neurosurg Focus 2020; 49:E13. [PMID: 33002864 DOI: 10.3171/2020.7.focus20420] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 07/23/2020] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Approximately half of glioblastoma (GBM) cases develop in geriatric patients, and this trend is destined to increase with the aging of the population. The optimal strategy for management of GBM in elderly patients remains controversial. The aim of this study was to assess the role of surgery in the elderly (≥ 65 years old) based on clinical, molecular, and imaging data routinely available in neurosurgical departments and to assess a prognostic survival score that could be helpful in stratifying the prognosis for elderly GBM patients. METHODS Clinical, radiological, surgical, and molecular data were retrospectively analyzed in 322 patients with GBM from 9 neurosurgical centers. Univariate and multivariate analyses were performed to identify predictors of survival. A random forest approach (classification and regression tree [CART] analysis) was utilized to create the prognostic survival score. RESULTS Survival analysis showed that overall survival (OS) was influenced by age as a continuous variable (p = 0.018), MGMT (p = 0.012), extent of resection (EOR; p = 0.002), and preoperative tumor growth pattern (evaluated with the preoperative T1/T2 MRI index; p = 0.002). CART analysis was used to create the prognostic survival score, forming six different survival groups on the basis of tumor volumetric, surgical, and molecular features. Terminal nodes with similar hazard ratios were grouped together to form a final diagram composed of five classes with different OSs (p < 0.0001). EOR was the most robust influencing factor in the algorithm hierarchy, while age appeared at the third node of the CART algorithm. The ability of the prognostic survival score to predict death was determined by a Harrell's c-index of 0.75 (95% CI 0.76-0.81). CONCLUSIONS The CART algorithm provided a promising, thorough, and new clinical prognostic survival score for elderly surgical patients with GBM. The prognostic survival score can be useful to stratify survival risk in elderly GBM patients with different surgical, radiological, and molecular profiles, thus assisting physicians in daily clinical management. The preliminary model, however, requires validation with future prospective investigations. Practical recommendations for clinicians/surgeons would strengthen the quality of the study; e.g., surgery can be considered as a first therapeutic option in the workflow of elderly patients with GBM, especially when the preoperative estimated EOR is greater than 80%.
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Affiliation(s)
- Tamara Ius
- 1Neurosurgery Unit, Department of Neurosciences, Santa Maria della Misericordia University Hospital, Udine
| | - Teresa Somma
- 2Division of Neurosurgery, Department of Neurosciences, Reproductive and Odontostomatological Sciences, Università degli Studi di Napoli Federico II, Naples
| | - Roberto Altieri
- 3Department of Medical and Surgical Sciences and Advanced Technologies (G.F. Ingrassia); Neurological Surgery, Policlinico "G. Rodolico - San Marco" University Hospital, University of Catania
| | | | - Giuseppe Maria Barbagallo
- 3Department of Medical and Surgical Sciences and Advanced Technologies (G.F. Ingrassia); Neurological Surgery, Policlinico "G. Rodolico - San Marco" University Hospital, University of Catania.,4Interdisciplinary Research Center on Brain Tumors Diagnosis and Treatment, University of Catania
| | - Paolo Cappabianca
- 2Division of Neurosurgery, Department of Neurosciences, Reproductive and Odontostomatological Sciences, Università degli Studi di Napoli Federico II, Naples
| | - Francesco Certo
- 3Department of Medical and Surgical Sciences and Advanced Technologies (G.F. Ingrassia); Neurological Surgery, Policlinico "G. Rodolico - San Marco" University Hospital, University of Catania.,4Interdisciplinary Research Center on Brain Tumors Diagnosis and Treatment, University of Catania
| | - Fabio Cofano
- 6Department of Neuroscience "Rita Levi Montalcini," Neurosurgery Unit, University of Turin
| | - Alessandro D'Elia
- 7Department of Neurosurgery "Giampaolo Cantore"-IRCSS Neuromed, Pozzilli
| | | | - Vincenzo Esposito
- 7Department of Neurosurgery "Giampaolo Cantore"-IRCSS Neuromed, Pozzilli.,9Department of Human Neurosciences-"Sapienza" University of Rome
| | - Marco Maria Fontanella
- 10Division of Neurosurgery, Department of Surgical Specialties, Radiological Sciences and Public Health, University of Brescia
| | - Antonino Germanò
- 5Division of Neurosurgery, BIOMORF Department, University of Messina
| | - Diego Garbossa
- 6Department of Neuroscience "Rita Levi Montalcini," Neurosurgery Unit, University of Turin
| | | | - Giuseppe La Rocca
- 8Institute of Neurosurgery, Fondazione Policlinico Gemelli, Catholic University, Rome.,13Department of Neurosurgery, Mater Olbia Hospital, Olbia, Italy
| | - Francesco Maiuri
- 2Division of Neurosurgery, Department of Neurosciences, Reproductive and Odontostomatological Sciences, Università degli Studi di Napoli Federico II, Naples
| | - Alessandro Olivi
- 8Institute of Neurosurgery, Fondazione Policlinico Gemelli, Catholic University, Rome
| | - Pier Paolo Panciani
- 10Division of Neurosurgery, Department of Surgical Specialties, Radiological Sciences and Public Health, University of Brescia
| | | | - Miran Skrap
- 1Neurosurgery Unit, Department of Neurosciences, Santa Maria della Misericordia University Hospital, Udine
| | | | - Giovanni Sabatino
- 8Institute of Neurosurgery, Fondazione Policlinico Gemelli, Catholic University, Rome.,13Department of Neurosurgery, Mater Olbia Hospital, Olbia, Italy
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6
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Vuong HG, Nguyen TQ, Ngo TNM, Nguyen HC, Fung KM, Dunn IF. The interaction between TERT promoter mutation and MGMT promoter methylation on overall survival of glioma patients: a meta-analysis. BMC Cancer 2020; 20:897. [PMID: 32957941 PMCID: PMC7504655 DOI: 10.1186/s12885-020-07364-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Accepted: 08/31/2020] [Indexed: 12/22/2022] Open
Abstract
Background There are controversial results concerning the prognostic implication of TERT promoter mutation in glioma patients concerning MGMT status. In this meta-analysis, we investigated whether there are any interactions of these two genetic markers on the overall survival (OS) of glioma patients. Methods Electronic databases including PubMed and Web of Science were searched for relevant studies. Hazard ratio (HR) and its 95% confidence interval (CI) for OS adjusted for selected covariates were calculated from the individual patient data (IPD), Kaplan-Meier curve (KMC), or directly obtained from the included studies. Results A total of nine studies comprising 2819 glioma patients were included for meta-analysis. Our results showed that TERT promoter mutation was associated with a superior outcome in MGMT-methylated gliomas (HR = 0.73; 95% CI = 0.55–0.98; p-value = 0.04), whereas this mutation was associated with poorer survival in gliomas without MGMT methylation (HR = 1.86; 95% CI = 1.54–2.26; p-value < 0.001). TERT-mutated glioblastoma (GBM) patients with MGMT methylation benefited from temozolomide (TMZ) treatment (HR = 0.33; 95% CI = 0.23–0.47; p-value < 0.001). MGMT methylation was not related with any improvement in OS in TERT-wild type GBMs (HR = 0.80; 95% CI = 0.56–1.15; p-value = 0.23). Conclusions The prognostic value of TERT promoter mutation may be modulated by MGMT methylation status. Not all MGMT-methylated GBM patients may benefit from TMZ; it is possible that only TERT-mutated GBM with MGMT methylation, in particular, may respond.
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Affiliation(s)
- Huy Gia Vuong
- Department of Pathology, Oklahoma University Health Sciences Center, Oklahoma City, OK, 73104, USA.,Stephenson Cancer Center, Oklahoma University Health Sciences Center, Oklahoma City, OK, 73104, USA
| | - Thu Quynh Nguyen
- Faculty of Medicine, Pham Ngoc Thach University of Medicine, Ho Chi Minh City, 700-000, Vietnam
| | - Tam N M Ngo
- Faculty of Medicine, Pham Ngoc Thach University of Medicine, Ho Chi Minh City, 700-000, Vietnam
| | - Hoang Cong Nguyen
- Faculty of Medicine, Pham Ngoc Thach University of Medicine, Ho Chi Minh City, 700-000, Vietnam
| | - Kar-Ming Fung
- Department of Pathology, Oklahoma University Health Sciences Center, Oklahoma City, OK, 73104, USA.,Stephenson Cancer Center, Oklahoma University Health Sciences Center, Oklahoma City, OK, 73104, USA
| | - Ian F Dunn
- Department of Neurosurgery, Oklahoma University Health Sciences Center, Oklahoma City, OK, 73104, USA.
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Nassiri F, Taslimi S, Wang JZ, Badhiwala JH, Dalcourt T, Ijad N, Pirouzmand N, Almenawer S, Stupp R, Zadeh G. Determining the Optimal Adjuvant Therapy for Improving Survival in Elderly Patients with Glioblastoma: A Systematic Review and Network Meta-analysis. Clin Cancer Res 2020; 26:2664-2672. [DOI: 10.1158/1078-0432.ccr-19-3359] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Revised: 11/29/2019] [Accepted: 01/13/2020] [Indexed: 11/16/2022]
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Geriatric oncology health services research: Cancer and Aging Research Group infrastructure core. J Geriatr Oncol 2019; 11:350-354. [PMID: 31326392 DOI: 10.1016/j.jgo.2019.07.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Revised: 07/08/2019] [Accepted: 07/09/2019] [Indexed: 02/06/2023]
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Iorgulescu JB, Torre M, Harary M, Smith TR, Aizer AA, Reardon DA, Barnholtz-Sloan JS, Perry A. The Misclassification of Diffuse Gliomas: Rates and Outcomes. Clin Cancer Res 2019; 25:2656-2663. [PMID: 30635340 DOI: 10.1158/1078-0432.ccr-18-3101] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Revised: 11/29/2018] [Accepted: 01/07/2019] [Indexed: 12/13/2022]
Abstract
PURPOSE The integrated histopathologic and molecular diagnoses of the 2016 WHO classification of central nervous system tumors have revolutionized patient care by improving diagnostic accuracy and reproducibility; however, the frequency and consequences of misclassification of histologically diagnosed diffuse gliomas are unknown. EXPERIMENTAL DESIGN Patients with newly diagnosed ICD-O-3 (International Classification of Diseases) histologically encoded diffuse gliomas from 2010-2015 were identified from the National Cancer Database, the misclassification rates and overall survival (OS) of which were assessed by WHO grade and 1p/19q status. In addition, misclassification rates by isocitrate dehydrogenase (IDH), ATRX, and p53 statuses were examined in an analogous multi-institutional cohort of registry-encoded diffuse gliomas. RESULTS Of 74,718 patients with diffuse glioma, only 74.4% and 78.8% of molecularly characterized WHO grade II and III oligodendrogliomas were in fact 1p/19q-codeleted. In addition, 28.9% and 36.8% of histologically encoded grade II and III "oligoastrocytomas", and 6.3% and 8.8% of grade II and III astrocytomas had 1p/19q-codeletion, thus molecularly representing oligodendrogliomas if also IDH mutant. OS significantly depended on accurate WHO grading and 1p/19q status. CONCLUSIONS On the basis of 1p/19q, IDH, ATRX, and p53, the misclassification rates of histologically encoded oligodendrogliomas, astrocytomas, and glioblastomas are approximately 21%-35%, 6%-9%, and 9%, respectively; with significant clinical implications. Our findings suggest that when compared with historical histology-only classified data, in national registry, as well as, institutional databases, there is the potential for false-positive results in contemporary trials of molecularly classified diffuse gliomas, which could contribute to a seemingly positive phase II trial (based on historical comparison) failing at the phase III stage. Critically, findings from diffuse glioma clinical trials and historical cohorts using prior histology-only WHO schemes must be cautiously reinterpreted.
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Affiliation(s)
- J Bryan Iorgulescu
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts. .,Harvard Medical School, Boston, Massachusetts.,Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Matthew Torre
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Maya Harary
- Harvard Medical School, Boston, Massachusetts.,Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts
| | - Timothy R Smith
- Harvard Medical School, Boston, Massachusetts.,Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts
| | - Ayal A Aizer
- Harvard Medical School, Boston, Massachusetts.,Department of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Center, Boston, Massachusetts
| | - David A Reardon
- Harvard Medical School, Boston, Massachusetts.,Center for Neuro-Oncology, Department of Medical Oncology, Dana-Farber Cancer Center, Boston, Massachusetts
| | - Jill S Barnholtz-Sloan
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Arie Perry
- Department of Pathology, University of California, San Francisco, San Francisco, California
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10
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Sasaki T, Fukai J, Kodama Y, Hirose T, Okita Y, Moriuchi S, Nonaka M, Tsuyuguchi N, Terakawa Y, Uda T, Tomogane Y, Kinoshita M, Nishida N, Izumoto S, Nakajima Y, Arita H, Ishibashi K, Shofuda T, Kanematsu D, Yoshioka E, Mano M, Fujita K, Uematsu Y, Nakao N, Mori K, Kanemura Y. Characteristics and outcomes of elderly patients with diffuse gliomas: a multi-institutional cohort study by Kansai Molecular Diagnosis Network for CNS Tumors. J Neurooncol 2018; 140:329-339. [PMID: 30076584 PMCID: PMC6244782 DOI: 10.1007/s11060-018-2957-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2018] [Accepted: 07/11/2018] [Indexed: 12/18/2022]
Abstract
INTRODUCTION This study investigates the current state of clinical practice and molecular analysis for elderly patients with diffuse gliomas and aims to elucidate treatment outcomes and prognostic factors of patients with glioblastomas. METHODS We collected elderly cases (≥ 70 years) diagnosed with primary diffuse gliomas and enrolled in Kansai Molecular Diagnosis Network for CNS Tumors. Clinical and pathological characteristics were analyzed retrospectively. Various factors were evaluated in univariate and multivariate models to examine their effects on overall survival. RESULTS Included in the study were 140 elderly patients (WHO grade II: 7, III: 19, IV: 114), median age was 75 years. Sixty-seven patients (47.9%) had preoperative Karnofsky Performance Status score of ≥ 80. All patients underwent resection (gross-total: 20.0%, subtotal: 14.3%, partial: 39.3%, biopsy: 26.4%). Ninety-six of the patients (68.6%) received adjuvant treatment consisting of radiotherapy (RT) with temozolomide (TMZ). Seventy-eight of the patients (75.0%) received radiation dose of ≥ 50 Gy. MGMT promoter was methylated in 68 tumors (48.6%), IDH1/2 was wild-type in 129 tumors (92.1%), and TERT promoter was mutated in 78 of 128 tumors (60.9%). Median progression-free and overall survival of grade IV cases was 8.2 and 13.6 months, respectively. Higher age (≥ 80 years) and TERT promoter mutated were associated with shorter survival. Resection and adjuvant RT + TMZ were identified as independent factors for good prognosis. CONCLUSIONS This community-based study reveals characteristics and outcomes of elderly glioma patients in a real-world setting. Elderly patients have several potential factors for poor prognosis, but resection followed by RT + TMZ could lengthen duration of survival.
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Affiliation(s)
- Takahiro Sasaki
- Department of Neurological Surgery, Wakayama Medical University School of Medicine, Kimiidera 811-1, Wakayama, 641-0012, Japan
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
| | - Junya Fukai
- Department of Neurological Surgery, Wakayama Medical University School of Medicine, Kimiidera 811-1, Wakayama, 641-0012, Japan.
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan.
| | - Yoshinori Kodama
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
- Department of Pathology and Applied Neurobiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
- Department of Pathology, Osaka National Hospital, National Hospital Organization, Osaka, Japan
| | - Takanori Hirose
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
- Department of Diagnostic Pathology, Hyogo Cancer Center, Hyogo, Japan
| | - Yoshiko Okita
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
- Department of Neurosurgery, Osaka National Hospital, National Hospital Organization, Osaka, Japan
| | - Shusuke Moriuchi
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
- Department of Neurosurgery, Rinku General Medical Center, Izumisano, Osaka, Japan
| | - Masahiro Nonaka
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
- Department of Neurosurgery, Kansai Medical University, Osaka, Japan
| | - Naohiro Tsuyuguchi
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
- Department of Neurosurgery, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Yuzo Terakawa
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
- Department of Neurosurgery, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Takehiro Uda
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
- Department of Neurosurgery, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Yusuke Tomogane
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
- Department of Neurosurgery, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan
| | - Manabu Kinoshita
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
- Department of Neurosurgery, Osaka International Cancer Institute, Osaka, Japan
| | - Namiko Nishida
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
- Department of Neurosurgery, Tazuke Kofukai Foundation, Medical Research Institute, Kitano Hospital, Osaka, Japan
| | - Shuichi Izumoto
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
- Department of Neurosurgery, Kindai University Faculty of Medicine, Osaka, Japan
| | - Yoshikazu Nakajima
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
- Department of Neurosurgery, Sakai City Medical Center, Osaka, Japan
| | - Hideyuki Arita
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Kenichi Ishibashi
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
- Department of Neurosurgery, Osaka City General Hospital, Osaka, Japan
| | - Tomoko Shofuda
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
- Division of Stem Cell Research, Department of Biomedical Research and Innovation, Institute for Clinical Research, Osaka National Hospital, National Hospital Organization, Osaka, Japan
| | - Daisuke Kanematsu
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
- Division of Regenerative Medicine, Department of Biomedical Research and Innovation, Institute for Clinical Research, Osaka National Hospital, National Hospital Organization, Osaka, Japan
| | - Ema Yoshioka
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
- Division of Stem Cell Research, Department of Biomedical Research and Innovation, Institute for Clinical Research, Osaka National Hospital, National Hospital Organization, Osaka, Japan
| | - Masayuki Mano
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
- Department of Pathology, Osaka National Hospital, National Hospital Organization, Osaka, Japan
| | - Koji Fujita
- Department of Neurological Surgery, Wakayama Medical University School of Medicine, Kimiidera 811-1, Wakayama, 641-0012, Japan
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
| | - Yuji Uematsu
- Department of Neurological Surgery, Wakayama Medical University School of Medicine, Kimiidera 811-1, Wakayama, 641-0012, Japan
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
| | - Naoyuki Nakao
- Department of Neurological Surgery, Wakayama Medical University School of Medicine, Kimiidera 811-1, Wakayama, 641-0012, Japan
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
| | - Kanji Mori
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
- Department of Neurosurgery, Kansai Rosai Hospital, Hyogo, Japan
| | - Yonehiro Kanemura
- Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan
- Department of Neurosurgery, Osaka National Hospital, National Hospital Organization, Osaka, Japan
- Division of Regenerative Medicine, Department of Biomedical Research and Innovation, Institute for Clinical Research, Osaka National Hospital, National Hospital Organization, Osaka, Japan
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11
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Zhu P, Du XL, Lu G, Zhu JJ. Survival benefit of glioblastoma patients after FDA approval of temozolomide concomitant with radiation and bevacizumab: A population-based study. Oncotarget 2018; 8:44015-44031. [PMID: 28467795 PMCID: PMC5546458 DOI: 10.18632/oncotarget.17054] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Accepted: 03/20/2017] [Indexed: 11/25/2022] Open
Abstract
Few population-based analyses have investigated survival change in glioblastoma multiforme (GBM) patients treated with concomitant radiotherapy-temozolomide (RT-TMZ) and adjuvant temozolomide (TMZ) and then bevacizumab (BEV) after Food and Drug Administration (FDA) approval, respectively. We aimed to explore the effects on survival with RT-TMZ, adjuvant TMZ and BEV in general GBM population based on the Surveillance, Epidemiology, and End Results (SEER) and Texas Cancer Registry (TCR) databases. A total of 28933 GBM patients from SEER (N = 24578) and TCR (N = 4355) between January 2000 and December 2013 were included. Patients were grouped into three calendar periods based on date of diagnosis: pre-RT-TMZ and pre-BEV (1/2000-2/2005, P1), post-RT-TMZ and pre-BEV (3/2005-4/2009, P2), and post-RT-TMZ and post-BEV (5/2009-12/2013, P3). The association between calendar period of diagnosis and survival was analyzed in SEER and TCR, separately, by the Kaplan-Meier method and Cox proportional hazards model. We found a significant increase in median overall survival (OS) across the three periods in both populations. In multivariate models, the risk of death was significantly reduced during P2 and further decreased in P3, which remained unchanged after stratification. Comparison and validation analysis were performed in the combined dataset, and consistent results were observed. We conclude that the OS of GBM patients in a "real-world" setting has been steadily improved from January 2000 to December 2013, which likely resulted from the administrations of TMZ concomitant with RT and adjuvant TMZ for newly diagnosed GBM and then BEV for recurrent GBM after respective FDA approval.
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Affiliation(s)
- Ping Zhu
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Houston, TX 77030, USA.,The Vivian L. Smith Department of Neurosurgery, The University of Texas Health Science Center at Houston (UTHealth), McGovern Medical School, and Memorial Hermann at Texas Medical Center, Houston, TX 77030, USA
| | - Xianglin L Du
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Houston, TX 77030, USA
| | - Guangrong Lu
- The Vivian L. Smith Department of Neurosurgery, The University of Texas Health Science Center at Houston (UTHealth), McGovern Medical School, and Memorial Hermann at Texas Medical Center, Houston, TX 77030, USA
| | - Jay-Jiguang Zhu
- The Vivian L. Smith Department of Neurosurgery, The University of Texas Health Science Center at Houston (UTHealth), McGovern Medical School, and Memorial Hermann at Texas Medical Center, Houston, TX 77030, USA
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12
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Biau J, Chautard E, De Schlichting E, Dupic G, Pereira B, Fogli A, Müller-Barthélémy M, Dalloz P, Khalil T, Dillies AF, Durando X, Godfraind C, Verrelle P. Radiotherapy plus temozolomide in elderly patients with glioblastoma: a "real-life" report. Radiat Oncol 2017; 12:197. [PMID: 29212499 PMCID: PMC5719937 DOI: 10.1186/s13014-017-0929-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Accepted: 11/21/2017] [Indexed: 11/22/2022] Open
Abstract
Background The optimization of the management for elderly glioblastoma patients is crucial given the demographics of aging in many countries. We report the outcomes for a “real-life” patient cohort (i.e. unselected) comprising consecutive glioblastoma patients aged 70 years or more, treated with different radiotherapy +/− temozolomide regimens. Methods From 2003 to 2016, 104 patients ≥ 70 years of age, consecutively treated by radiotherapy for glioblastoma, were included in this study. All patients were diagnosed with IDH-wild type glioblastoma according to pathological criteria. Results Our patient cohort comprised 51 female patients (49%) and 53 male. The median cohort age was 75 years (70–88), and the median Karnofsky performance status (KPS) was 70 (30–100). Five (5%) patients underwent macroscopic complete resection, 9 (9%) had partial resection, and 90 (86%), a stereotactic biopsy. The MGMT promoter was methylated in 33/73 cases (45%). Fifty-two (50%), 38 (36%), and 14 (14%) patients were categorized with RPA scores of III, IV, and I-II. Thirty-three (32%) patients received normofractionated radiotherapy (60 Gy, 30 sessions) with temozolomide (Stupp), 37 (35%) received hypofractionated radiotherapy (median dose 40 Gy, 15 sessions) with temozolomide (HFRT + TMZ), and 34 (33%) HFRT alone. Patients receiving only HFRT were significantly older, with lower KPSs. The median overall survival (OS; all patients) was 5.2 months. OS rates at 12, 18, and 24 months, were 19%, 12%, and 5%, respectively, with no statistical differences between patients receiving Stupp or HFRT + TMZ (P = 0.22). In contrast, patients receiving HFRT alone manifested a significantly shorter survival time (3.9 months vs. 5.9 months, P = 0.018). In multivariate analyses, the prognostic factors for OS were: i) the type of surgery (HR: 0.47 [0.26–0.86], P = 0.014), ii) RPA class (HR: 2.15 [1.17–3.95], P = 0.014), and iii) temozolomide use irrespective of radiotherapy schedule (HR: 0.54 [0.33–0.88], P < 0.02). MGMT promoter methylation was neither a prognostic nor a predictive factor. Conclusions These outcomes agree with the literature in terms of optimal surgery and the use of HFRT as a standard treatment for elderly GBM patients. Our study emphasizes the potential benefit of using temozolomide with radiotherapy in a real-life cohort of elderly GBM patients, irrespective of their MGMT status.
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Affiliation(s)
- J Biau
- Radiotherapy Department, Université Clermont Auvergne, Centre Jean Perrin, 63011, Clermont-Ferrand, France. .,Université Clermont Auvergne, INSERM, U1240 IMoST, F-63000, Clermont Ferrand, France.
| | - E Chautard
- Radiotherapy Department, Université Clermont Auvergne, Centre Jean Perrin, 63011, Clermont-Ferrand, France.,Université Clermont Auvergne, INSERM, U1240 IMoST, F-63000, Clermont Ferrand, France
| | - E De Schlichting
- Neurosurgery Department, Clermont-Ferrand Hospital, 63003, Clermont-Ferrand, France
| | - G Dupic
- Radiotherapy Department, Université Clermont Auvergne, Centre Jean Perrin, 63011, Clermont-Ferrand, France
| | - B Pereira
- Biostatistics Department, DRCI, Clermont-Ferrand Hospital, 63003, Clermont-Ferrand, France
| | - A Fogli
- Université Clermont Auvergne, CNRS UMR 6293, INSERM U1103, GReD Laboratory, 63000, Clermont-Ferrand, France
| | - M Müller-Barthélémy
- Université Clermont Auvergne, INSERM, U1240 IMoST, F-63000, Clermont Ferrand, France
| | - P Dalloz
- Oncology Department, Université Clermont Auvergne, Centre Jean Perrin, 63011, Clermont-Ferrand, France
| | - T Khalil
- Neurosurgery Department, Clermont-Ferrand Hospital, 63003, Clermont-Ferrand, France
| | - A F Dillies
- Oncology Department, Université Clermont Auvergne, Centre Jean Perrin, 63011, Clermont-Ferrand, France
| | - X Durando
- Université Clermont Auvergne, INSERM, U1240 IMoST, F-63000, Clermont Ferrand, France.,Oncology Department, Université Clermont Auvergne, Centre Jean Perrin, 63011, Clermont-Ferrand, France
| | - C Godfraind
- Université Clermont Auvergne, INSERM, U1240 IMoST, F-63000, Clermont Ferrand, France.,Anatomopathology Department, Clermont-Ferrand Hospital, 63003, Clermont-Ferrand, France
| | - P Verrelle
- Radiotherapy Department, Université Clermont Auvergne, Centre Jean Perrin, 63011, Clermont-Ferrand, France.,Radiation Oncology Department, Institut Curie, 75248, Paris, France
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13
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Utilization of hypofractionated radiotherapy in treatment of glioblastoma multiforme in elderly patients not receiving adjuvant chemoradiotherapy: A National Cancer Database Analysis. J Neurooncol 2017; 136:385-394. [PMID: 29209874 DOI: 10.1007/s11060-017-2665-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2017] [Accepted: 11/04/2017] [Indexed: 10/18/2022]
Abstract
To assess the utilization and outcomes of adjuvant monotherapy with hypofractionated radiation (RT) among elderly patients not receiving traditional adjuvant chemoradiotherapy (cRT) for glioblastoma multiforme (GBM). A retrospective analysis using the National Cancer Data Base with GBM patients aged 65 years or older treated between 2005 and 2012 was conducted. Patients who underwent hypofractionated RT (40 Gy), conventional RT (60 Gy), chemotherapy, or best supportive care alone were included. Statistical methods included logistic regression for utilization and Cox regression for survival analysis. A total of 9556 patients were analyzed. On multivariate analysis (compared to those receiving conventional RT), patients more likely to be treated with hypofractionated RT were older (75-84 years old OR 2.05; p < 0.01 and ≥ 85 years old OR 3.32; p < 0.01), with a Charlson/Deyo score of 2 or higher (OR 1.80; p = 0.05), from communities > 50 miles from their treatment facility (50-100 miles OR 8.03; p < 0.01 and > 100 miles OR 7.16; p < 0.01), treated at an Academic/Research facility (OR 2.85; p = 0.04), and diagnosed between 2011 and 2012 (OR 4.15; p < 0.01). On Cox regression, hypofractionated RT (HR 0.65; p < 0.01), conventional RT (HR 0.60; p < 0.01), and chemotherapy alone (HR 0.69; p < 0.01) were all associated with decreased risk of death compared to no adjuvant therapy. Among patients receiving adjuvant treatment, utilization of hypofractionated RT increased from 7 to 19% during the study period. Among elderly patients with GBM not receiving cRT, the utilization of adjuvant monotherapy with hypofractionated RT has increased over time. Retrospective evidence suggests it may be better than best supportive care alone and as good as conventionally fractionated RT alone.
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14
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Halani SH, Babu R, Adamson DC. Management of Glioblastoma Multiforme in Elderly Patients: A Review of the Literature. World Neurosurg 2017; 105:53-62. [PMID: 28465276 DOI: 10.1016/j.wneu.2017.04.153] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2017] [Revised: 04/21/2017] [Accepted: 04/22/2017] [Indexed: 12/11/2022]
Abstract
Glioblastoma multiforme (GBM) is the most common primary malignant brain tumor in adults, occurs most commonly in individuals older than 65 years of age, and is universally fatal. Increasing age compounds the poor prognosis of GBM, as elderly patients have markedly worse outcomes than younger patients. However, many of the studies previously investigating optimal treatment regimens exclude patients older than the age of 65 years and thus may not represent the best approaches to ensuring prolonged survival with preserved quality of life. This review aims to highlight the current literature on surgical and medical management, including our own experience, for GBM in the elderly patients, and to provide rational treatment approaches for a vulnerable, often-overlooked, patient population.
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Affiliation(s)
- Sameer H Halani
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Ranjith Babu
- Division of Neurosurgery, Department of Surgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - D Cory Adamson
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, Georgia, USA; Neurosurgery Section, Atlanta VA Medical Center, Decatur, Georgia, USA.
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