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Dietterle J, Wende T, Wilhelmy F, Eisenlöffel C, Jähne K, Taubenheim S, Arlt F, Meixensberger J. The prognostic value of peri-operative neurological performance in glioblastoma patients. Acta Neurochir (Wien) 2020; 162:417-425. [PMID: 31736002 DOI: 10.1007/s00701-019-04136-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 11/04/2019] [Indexed: 01/29/2023]
Abstract
BACKGROUND IDH-wild-type glioblastoma (GBM) is a disease with devastating prognosis. First-line therapy consists of gross total resection and adjuvant radiotherapy with concomitant temozolomide. Several clinical parameters have been identified to provide prognostic value. We investigated whether peri-operative overall neurological performance could also be used to evaluate patients' prognosis. METHODS All patients with histologically diagnosed GBM between 2014 and 2017 over 18 years and MRI within 72 h after surgery were reviewed. To quantify neurological performance, the medical research council neurological performance score (MRC-NPS) was used. Univariate analysis with Kaplan-Meier estimate and log-rank test was performed. Survival prediction and multivariate analysis were performed employing Cox proportional hazard regression. RESULTS One hundred thirty-nine patients were included. In univariate analysis, survival decreased with increasing post-operative MRC-NPS scale. Moreover, post-operative MRC-NPS of 4 was statistically significant associated with reduced overall survival when analyzed for complete (p = 0.027) and partial resection (p = 0.002) as well as unilobar (p = 0.003) and multilobar tumor location (p < 0.0005). In multivariate analysis, extent of resection (hazard ratio (HR) 3.142), adjuvant therapy regimen (HR 3.001), tumor location (HR 2.005), and post-operative MRC-NPS (HR 2.310) had significant influence on overall survival. CONCLUSION We propose the post-operative neurological performance as an independent prognostic factor for GBM patients.
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Resection of recurrent glioblastoma multiforme in elderly patients: a pseudo-randomized analysis revealed clinical benefit. J Neurooncol 2020; 146:381-387. [PMID: 31933259 DOI: 10.1007/s11060-020-03393-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 01/07/2020] [Indexed: 01/22/2023]
Abstract
INTRODUCTION Elderly patients constitute an expanding part of our society. Due to a continuously increasing life expectancy, an optimal quality of life is expected even into advanced age. Glioblastoma (GBM) is more common in older patients, but they are still often withheld from efficient treatment due to worry of worse tolerance and have a significantly worse prognosis compared to younger patients. Our retrospective observational study aimed to investigate the therapeutic benefit from a second resection in recurrent glioblastoma of elderly patients. MATERIALS AND METHODS We included a cohort of 39 elderly patients (> 65 years) with a second resection as treatment option in the case of a tumor recurrence. A causal inference model was built by multiple non- and semiparametric models, which was used to identify matched patients from our elderly GBM database which comprises 538 patients. The matched cohorts were analyzed by a Cox-regression model adjusted by time-dependent covariates. RESULTS The Cox-regression analysis showed a significant survival benefit (Hazard Ratio: 0.6, 95% CI 0.36-0.9, p-value = 0.0427) for the re-resected group (18.0 months, 95% CI 13.97-23.2 months) compared to the group without re-resection (10.1 months, 95% CI 8.09-20.9 months). No differences in the co-morbidities or hemato-oncological side effects during chemotherapy could be detected. Anesthetic- and surgical complications were rare and comparable to the complication rate of patients undergoing the first-line resection. CONCLUSION Taken together, in elderly patients, re-resection is an acceptable treatment option in the recurrent state of a glioblastoma. The individual evaluation of the patients' medical status as well as the chances of withstanding general anesthesia needs to be done in close interdisciplinary consultation. If these requirements are met, elderly patients benefit from a re-resection.
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Clinical characteristics and risk factors of perioperative outcomes in elderly patients with intracranial tumors. Neurosurg Rev 2019; 44:389-400. [PMID: 31848767 DOI: 10.1007/s10143-019-01217-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 11/13/2019] [Accepted: 11/21/2019] [Indexed: 01/21/2023]
Abstract
We aimed to study the clinical and radiological characteristics of intracranial tumors and explore the possible predictive value of these characteristics in relation to perioperative outcomes in elderly patients. We retrospectively identified 1535 elderly patients (aged 65 years and older) with intracranial tumors who underwent surgical resection between 2014 and 2018 in Beijing Tiantan Hospital. Factors associated with an increased risk of unfavorable perioperative performance and complications were investigated. Meningiomas were the most common tumors in the cohort (43.26%). The overall risk of perioperative death was 0.59%, and 42.80% of patients were discharged with unfavorable performance (Karnofsky Performance Scale [KPS] score ≤ 70). Of all patients, 39.22% had one or more complications after surgical resection. Aggressive surgery significantly lowered the rate of unfavorable perioperative outcomes (P = 0.000) with no increase in postoperative complications (P = 0.153), but it failed to be an independent predictor for perioperative outcomes in the multivariate analysis. Low performance status at admission (KPS ≤ 70) was independently associated with both unfavorable perioperative performance (P = 0.000) and complications (P = 0.000). In addition to the histopathological patterns of tumors, low performance status at admission is an independent predictor for both unfavorable perioperative performance and the occurrence of complications in elderly patients with intracranial tumors who have undergone surgical resections. However, age is not associated with perioperative outcomes in elderly patients.
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Klekner A, Tóth J, Virga J, Hortobágyi T, Dér Á, Szemcsák C, Reményi-Puskár J, Bognár L. Influence of Oncotherapy and Clinical Parameters on Survival of Glioblastoma Patients: A Single Center Experience. Neurol India 2019; 67:1066-1073. [PMID: 31512637 DOI: 10.4103/0028-3886.266257] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background Routine administration of temozolomide (TMZ) in the treatment protocol of glioblastoma in the last few years resulted in improving survival parameters of these patients but efficacy of supplementary bevacizumab (BVC) monotherapy has not been evidently proven. In this study, the effectiveness of different postoperative therapy for glioblastoma patients treated in our institute was evaluated. In addition, the prognostic value of clinical parameters on survival was also analyzed. Methods Accordance of clinical parameters (age, gender, tumor localization, size, side, Karnofsky performance score, and extension of tumor removal), postoperative treatment (radiotherapy [RT], RT + TMZ, RT + TMZ + BVC), and survival data were tested by 104 patients operated on glioblastoma in the Department of Neurosurgery, University of Debrecen between 2002 and 2012. Results Concurrent chemo-RT resulted in significant longer overall survival (OS) than RT alone (PRTvs.RT + TMZ = 0.0219) and BVC treatment after progression during TMZ also elongated survival significantly (PRT vs. RT + TMZ + BVC < 0.0001; PRT + TMZvs.RT + TMZ + BVC = 0.0022), respectively. Clinical parameters showed no significant influence on OS in comparison with different methods of postoperative oncotherapy. Conclusions Both TMZ and BVC had a beneficial effect on glioblastoma patients' survival, but tested clinical parameters showed no evident accordance with final outcome. Although neurosurgery has an indispensable role in resecting space occupying tumors and providing good postoperative performance score patients for oncotherapy, the survival of glioblastoma patients depends rather on radio- and chemo-sensitivity than tested clinical parameters.
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Affiliation(s)
- Almos Klekner
- Department of Neurosurgery, University of Debrecen, Clinical Center, Debrecen, Nagyerdei krt. 98, 4032, Hungary
| | - Judit Tóth
- Department of Oncology, University of Debrecen, Clinical Center, Debrecen, Nagyerdei krt. 98, 4032, Hungary
| | - József Virga
- Department of Neurosurgery, University of Debrecen, Clinical Center, Debrecen, Nagyerdei krt. 98, 4032, Hungary
| | - Tibor Hortobágyi
- Department of Neuropathology, University of Debrecen, Clinical Center, Debrecen, Nagyerdei krt. 98, 4032, Hungary
| | - Ádám Dér
- Department of Radiotherapy, University of Debrecen, Clinical Center, Debrecen, Nagyerdei krt. 98, 4032, Hungary
| | - Csaba Szemcsák
- Department of Neurosurgery, University of Debrecen, Clinical Center, Debrecen, Nagyerdei krt. 98, 4032, Hungary
| | - Judit Reményi-Puskár
- Department of Neurosurgery, University of Debrecen, Clinical Center, Debrecen, Nagyerdei krt. 98, 4032, Hungary
| | - László Bognár
- Department of Neurosurgery, University of Debrecen, Clinical Center, Debrecen, Nagyerdei krt. 98, 4032, Hungary
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Beaumont TL, Mohammadi AM, Kim AH, Barnett GH, Leuthardt EC. Magnetic Resonance Imaging-Guided Laser Interstitial Thermal Therapy for Glioblastoma of the Corpus Callosum. Neurosurgery 2019; 83:556-565. [PMID: 29438526 DOI: 10.1093/neuros/nyx518] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2017] [Accepted: 01/29/2018] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Glioblastoma of the corpus callosum is particularly difficult to treat, as the morbidity of surgical resection generally outweighs the potential survival benefit. Laser interstitial thermal therapy (LITT) is a safe and effective treatment option for difficult to access malignant gliomas of the thalamus and insula. OBJECTIVE To assess the safety and efficacy of LITT for the treatment of glioblastoma of the corpus callosum. METHODS We performed a multicenter retrospective analysis of prospectively collected data. The primary endpoint was the safety and efficacy of LITT as a treatment for glioblastoma of the corpus callosum. Secondary endpoints included tumor coverage at thermal damage thresholds, median survival, and change in Karnofsky Performance Scale score 1 mo after treatment. RESULTS The study included patients with de novo or recurrent glioblastoma of the corpus callosum (n = 15). Mean patient age was 54.7 yr. Mean pretreatment Karnofsky Performance Scale score was 80.7 and there was no significant difference between subgroups. Mean tumor volume was 18.7 cm3. Hemiparesis occurred in 26.6% of patients. Complications were more frequent in patients with tumors >15 cm3 (RR 6.1, P = .009) and were associated with a 32% decrease in survival postLITT. Median progression-free survival, survival postLITT, and overall survival were 3.4, 7.2, and 18.2 mo, respectively. CONCLUSION LITT is a safe and effective treatment for glioblastoma of the corpus callosum and provides survival benefit comparable to subtotal surgical resection with adjuvant chemoradiation. LITT-associated complications are related to tumor volume and can be nearly eliminated by limiting the procedure to tumors of 15 cm3 or less.
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Affiliation(s)
- Thomas L Beaumont
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Alireza M Mohammadi
- Department of Neurological Surgery, Cleveland Clinic, Cleveland, Ohio.,Rose Ella Burkhardt Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio
| | - Albert H Kim
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Gene H Barnett
- Department of Neurological Surgery, Cleveland Clinic, Cleveland, Ohio.,Rose Ella Burkhardt Brain Tumor and Neuro-Oncology Center, Cleveland Clinic, Cleveland, Ohio
| | - Eric C Leuthardt
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri.,Center for Innovation in Neuroscience and Technology, Washington University School of Medicine, St. Louis, Missouri.,Department of Biomedical Engineering, Washington University, St. Louis, Missouri.,Department of Mechanical Engineering and Material Sciences, Washington University, St. Louis, Missouri
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56
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Cohen-Inbar O. Geriatric brain tumor management part II: Glioblastoma multiforme. J Clin Neurosci 2019; 67:1-4. [DOI: 10.1016/j.jocn.2019.05.064] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Accepted: 05/27/2019] [Indexed: 10/26/2022]
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57
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Giaccherini L, Galaverni M, Renna I, Timon G, Galeandro M, Pisanello A, Russo M, Botti A, Iotti C, Ciammella P. Role of multidimensional assessment of frailty in predicting outcomes in older patients with glioblastoma treated with adjuvant concurrent chemo-radiation. J Geriatr Oncol 2019; 10:770-778. [DOI: 10.1016/j.jgo.2019.03.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Revised: 01/30/2019] [Accepted: 03/13/2019] [Indexed: 12/13/2022]
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58
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Juan W, Yin-Sheng C, Xiao-Bing J, Fu-Hua L, Zheng-He C, Jian W, Wei-Heng Z. The mediating role of extent of resection in the relationship between the tumor characteristics and survival outcome of glioma. J Cancer 2019; 10:3232-3238. [PMID: 31289594 PMCID: PMC6603369 DOI: 10.7150/jca.30159] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Accepted: 04/26/2019] [Indexed: 01/08/2023] Open
Abstract
The prognostic value of tumor characteristics for glioma has been controversial, partly because of a lack of knowledge about how these associations develop. Extent of resection may be factors that mediate the relationship between tumor characteristics and the hazard of death from glioma. Patients and Methods: This consecutive study retrospectively included a group of 393 treatment-naive patients with newly, pathologically confirmed glioma between January 2004 and December 2014. Information on patient age, gender, Karnofsky Performance Status (KPS), tumor grade, tumor size, tumor location, presence or absence of contrast enhancement on MRI and extent of tumor resection have all been collected. The discrete-time survival model integrating survival outcomes within structural equation models was employed to develop and evaluate a comprehensive hypothesis regarding the direct and indirect impact of tumor characteristics on the hazard of death from glioma, mediated by the extent of resection. Results: Except for tumor location, the indirect effects of tumor grade, contrast enhancement, and tumor size on PFS of glioma through extent of resection were found significant in the model. Conclusion: This study provides a better understanding of the process through which tumor characteristics is associated with hazard of death from glioma.
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Affiliation(s)
- Wang Juan
- School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Chen Yin-Sheng
- Department of Neurosurgery/Neuro-oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Jiang Xiao-Bing
- Department of Neurosurgery/Neuro-oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Lin Fu-Hua
- Department of Neurosurgery/Neuro-oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Chen Zheng-He
- Department of Neurosurgery/Neuro-oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Wang Jian
- Department of Neurosurgery/Neuro-oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Zhu Wei-Heng
- College of information science and technology, Jinan University, Guangzhou, China
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Dobran M, Nasi D, Della Costanza M, Gladi M, Iacoangeli M, Rotim K, Splavski B. Characteristics of treatment and outcome in elderly patients with brain glioblastoma: a retrospective analysis of case series. Acta Clin Croat 2019; 58:221-228. [PMID: 31819317 PMCID: PMC6884380 DOI: 10.20471/acc.2019.58.02.04] [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: 02/01/2023] Open
Abstract
Treatment modalities affecting quality of life and survival in elderly brain glioblastoma patients are not well defined. A single-institution data were analyzed during a 3-year period to disclose prognostic difference in management related to age. Karnofsky Performance Scale (KPS), overall survival (OS), and adjuvant therapy were evaluated. The case group comprised of elderly patients (>75 years), while the control group included those of younger age (<65 years). The investigated variables were correlated between the groups. Twenty elderly patients and a corresponding number of younger ones were analyzed. Preoperative KPS >70 indicated longer overall survival. Statistically significant correlation was recorded in both the control (p=0.036) and case (p=0.0053) groups. Lower postoperative KPS was significantly correlated with shorter OS in elderly patients (p=0.023). The correlation between the extent of tumor resection and OS was statistically significant in younger patients only (p=0.04). Overall survival was significantly shorter in elderly patients regardless of the extent of tumor resection (p=0.0057). Adjuvant therapy was significantly associated with longer OS in both the case (p=0.032) and control (p=0.013) groups. Elderly population is a more endangered group of surgical brain glioblastoma patients having lower quality of life and shorter overall survival. The management protocol should be personalized for each individual case in this age group of patients to reduce postoperative complications and grant a satisfactory quality of life.
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Affiliation(s)
| | - Davide Nasi
- 1Department of Neurosurgery Università Politecnica delle Marche, Ospedali Riuniti di Ancona, Ancona, Italy; 2Department of Neurosurgery, Sestre milosrdnice University Hospital Centre, Zagreb, Croatia
| | - Martina Della Costanza
- 1Department of Neurosurgery Università Politecnica delle Marche, Ospedali Riuniti di Ancona, Ancona, Italy; 2Department of Neurosurgery, Sestre milosrdnice University Hospital Centre, Zagreb, Croatia
| | - Maurizio Gladi
- 1Department of Neurosurgery Università Politecnica delle Marche, Ospedali Riuniti di Ancona, Ancona, Italy; 2Department of Neurosurgery, Sestre milosrdnice University Hospital Centre, Zagreb, Croatia
| | - Maurizio Iacoangeli
- 1Department of Neurosurgery Università Politecnica delle Marche, Ospedali Riuniti di Ancona, Ancona, Italy; 2Department of Neurosurgery, Sestre milosrdnice University Hospital Centre, Zagreb, Croatia
| | - Krešimir Rotim
- 1Department of Neurosurgery Università Politecnica delle Marche, Ospedali Riuniti di Ancona, Ancona, Italy; 2Department of Neurosurgery, Sestre milosrdnice University Hospital Centre, Zagreb, Croatia
| | - Bruno Splavski
- 1Department of Neurosurgery Università Politecnica delle Marche, Ospedali Riuniti di Ancona, Ancona, Italy; 2Department of Neurosurgery, Sestre milosrdnice University Hospital Centre, Zagreb, Croatia
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Shabaev AR, Kazantsev AN, Mironov AV, Ruban EV. [Surgical treatment of protoplasmic astrocytoma of sylvian aqueduct involving posterior part of the third ventricle]. Khirurgiia (Mosk) 2019:82-88. [PMID: 30855596 DOI: 10.17116/hirurgia201902182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
It is presented case report of extremely rare pathology - protoplasmic astrocytoma of sylvian aqueduct involving posterior section of the third ventricle. The main principles of treatment were considered. Dynamics of neurological status was demonstrated. An effectiveness of treatment strategy was assessed.
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Affiliation(s)
- A R Shabaev
- Barbarash Kemerovo Regional Clinical Cardiology Clinic, Kemerovo, Russia
| | - A N Kazantsev
- Research Institute for Complex Problems of Cardiovascular Diseases, Kemerovo, Russia
| | - A V Mironov
- Barbarash Kemerovo Regional Clinical Cardiology Clinic, Kemerovo, Russia
| | - E V Ruban
- Barbarash Kemerovo Regional Clinical Cardiology Clinic, Kemerovo, Russia
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A Simple Three-dimensional Hydrogel Platform Enables Ex Vivo Cell Culture of Patient and PDX Tumors for Assaying Their Response to Clinically Relevant Therapies. Mol Cancer Ther 2019; 18:718-725. [DOI: 10.1158/1535-7163.mct-18-0359] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 10/21/2018] [Accepted: 01/15/2019] [Indexed: 11/16/2022]
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Lawrie TA, Hanna CR, Rogozińska E, Kernohan A, Vale L, Bulbeck H, Ali UM, Grant R. Treatment of newly diagnosed glioblastoma in the elderly. Hippokratia 2019. [DOI: 10.1002/14651858.cd013261] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Affiliation(s)
- Theresa A Lawrie
- 1st Floor Education Centre, Royal United Hospital; Cochrane Gynaecological, Neuro-oncology and Orphan Cancer Group; Combe Park Bath UK BA1 3NG
| | - Catherine R Hanna
- University of Glasgow; Department of Oncology; Beatson West of Scotland Cancer Centre Great Western Road Glasgow Scotland UK G4 9DL
| | | | - Ashleigh Kernohan
- Newcastle University; Institute of Health & Society; Baddiley-Clark Building, Richardson Road Newcastle upon Tyne UK NE2 4AA
| | - Luke Vale
- Newcastle University; Institute of Health & Society; Baddiley-Clark Building, Richardson Road Newcastle upon Tyne UK NE2 4AA
| | - Helen Bulbeck
- brainstrust; Director of Services; 4 Yvery Court Castle Road Cowes Isle of Wight UK PO31 7QG
| | - Usama M Ali
- University of Oxford; Centre for Statistics in Medicine; 7 Dewsbury Road Luton Bedfordshire UK LU3 2HJ
| | - Robin Grant
- Western General Hospital; Edinburgh Centre for Neuro-Oncology (ECNO); Crewe Road Edinburgh Scotland UK EH4 2XU
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Prasanna P, Mitra J, Beig N, Nayate A, Patel J, Ghose S, Thawani R, Partovi S, Madabhushi A, Tiwari P. Mass Effect Deformation Heterogeneity (MEDH) on Gadolinium-contrast T1-weighted MRI is associated with decreased survival in patients with right cerebral hemisphere Glioblastoma: A feasibility study. Sci Rep 2019; 9:1145. [PMID: 30718547 PMCID: PMC6362117 DOI: 10.1038/s41598-018-37615-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Accepted: 12/04/2018] [Indexed: 12/04/2022] Open
Abstract
Subtle tissue deformations caused by mass-effect in Glioblastoma (GBM) are often not visually evident, and may cause neurological deficits, impacting survival. Radiomic features provide sub-visual quantitative measures to uncover disease characteristics. We present a new radiomic feature to capture mass effect-induced deformations in the brain on Gadolinium-contrast (Gd-C) T1w-MRI, and their impact on survival. Our rationale is that larger variations in deformation within functionally eloquent areas of the contralateral hemisphere are likely related to decreased survival. Displacements in the cortical and subcortical structures were measured by aligning the Gd-C T1w-MRI to a healthy atlas. The variance of deformation magnitudes was measured and defined as Mass Effect Deformation Heterogeneity (MEDH) within the brain structures. MEDH values were then correlated with overall-survival of 89 subjects on the discovery cohort, with tumors on the right (n = 41) and left (n = 48) cerebral hemispheres, and evaluated on a hold-out cohort (n = 49 subjects). On both cohorts, decreased survival time was found to be associated with increased MEDH in areas of language comprehension, social cognition, visual perception, emotion, somato-sensory, cognitive and motor-control functions, particularly in the memory areas in the left-hemisphere. Our results suggest that higher MEDH in functionally eloquent areas of the left-hemisphere due to GBM in the right-hemisphere may be associated with poor-survival.
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Affiliation(s)
- Prateek Prasanna
- Case Western Reserve University, Department of Biomedical Engineering, Cleveland, USA
| | - Jhimli Mitra
- Case Western Reserve University, Department of Biomedical Engineering, Cleveland, USA
- General Electric Global Research, New York, USA
| | - Niha Beig
- Case Western Reserve University, Department of Biomedical Engineering, Cleveland, USA
| | - Ameya Nayate
- Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, USA
| | - Jay Patel
- Case Western Reserve University, Department of Biomedical Engineering, Cleveland, USA
| | - Soumya Ghose
- Case Western Reserve University, Department of Biomedical Engineering, Cleveland, USA
| | - Rajat Thawani
- Case Western Reserve University, Department of Biomedical Engineering, Cleveland, USA
| | - Sasan Partovi
- Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, USA
| | - Anant Madabhushi
- Case Western Reserve University, Department of Biomedical Engineering, Cleveland, USA
| | - Pallavi Tiwari
- Case Western Reserve University, Department of Biomedical Engineering, Cleveland, USA.
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Abstract
Clinical research in neuro-oncology frequently classifies patients over 60-70 years of age as 'elderly', a designation intended to identify patients with the disease characteristics, psychosocial changes, and susceptibility to treatment toxicities associated with advancing age. The elderly account for a large proportion of patients diagnosed with glioblastoma (GBM), and this population is projected to increase. Their prognosis is inferior to that of GBM patients as a whole, and concerns over treatment toxicity may limit the aggressiveness with which they are treated. Recent clinical studies have assisted with therapeutic decision making in this cohort. Hypofractionated radiation with concurrent and adjuvant temozolomide has been shown to increase survival without worsened quality of life in elderly patients with good functional status. Single modality radiation therapy or temozolomide therapy are frequently used in this population, and while neither has demonstrated superiority, O6-methylguanine-DNA methyltransferase (MGMT) methylation status is predictive of improved survival with temozolomide over radiation therapy. Despite these advances, ambiguity as to how to best define, assess, and treat this population remains. The specific response of elderly patients to emerging therapies, such as immunotherapies, is unclear. Advancing outcomes for elderly patients with GBM requires persistent efforts to include them in translational and clinical research endeavors, and concurrent dedication to the preservation of function and quality of life in this population.
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Affiliation(s)
- Rebecca A Harrison
- Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 0431, Houston, TX, 77030, USA.
| | - John F de Groot
- Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 0431, Houston, TX, 77030, USA
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Pessina F, Navarria P, Cozzi L, Rudà R, Nibali MC, Simonelli M, Costa F, Santoro A, Clerici E, Carta G, Scorsetti M, Bello L. Is surgical resection useful in elderly newly diagnosed glioblastoma patients? Outcome evaluation and prognostic factors assessment. Acta Neurochir (Wien) 2018; 160:1779-1787. [PMID: 29971562 DOI: 10.1007/s00701-018-3599-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Accepted: 06/12/2018] [Indexed: 11/24/2022]
Abstract
ASTRACT BACKGROUND: The incidence of glioblastoma among elderly patients is constantly increasing. The value of radiation therapy and concurrent/adjuvant chemotherapy has been widely assessed. So far, the role of surgery has not been thoroughly investigated. The study aimed to evaluate safety and impact of several entities of surgical resection on outcome of elderly patients with newly diagnosed glioblastoma treated by a multimodal approach. METHODS Patients ≥ 65 years, underwent surgery were included. The extent of surgical resection (EOR) was defined as complete resection (CR = 100%), gross total resection (GTR = 90-99%), sub-total resection (STR = 78-90%), partial resection (PR = 30-78%), and biopsy. After surgery, all patients received adjuvant radiotherapy (60/2 Gy fraction) with concomitant/adjuvant temozolomide chemotherapy. RESULTS From March 2004 to December 2015, 178 elderly with a median age of 71 years (range 65-83 years) were treated. CR was obtained in 8 (4.5%), GTR in 63 (35.4%), STR in 46 (25.8%), PR in 16 (9.0%), and biopsy in 45 (25.3%). RT was started in all patients, concurrent/adjuvant CHT in 149 (83.7%) and 132 (74.2%). The median follow-up time was 12.2 months (range 0.4-50.4 months). The median, 1- and 2-year progression-free survival was 8.9 months (95%CI 7.8-100 months), 32.0 ± 3.5%, and 12.9 ± 2.6%. The median, 1- and 2-year overall survival were 12.2 (95%CI 11.3-13.1 months), 51.1 ± 3.7%, and 16.3 ± 2.9%. Tumor location, extent of resection, and neurological status after surgery statistically affected survival (p ≪ 0.01). CONCLUSION Maximal surgical resection is safe and feasible in elderly patients with influence on survival. A preoperative evaluation has to be carried out.
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Affiliation(s)
- Federico Pessina
- Neurosurgical Oncology Department, Humanitas Cancer Center and Research Hospital, Rozzano (Milan), Italy.
| | - Pierina Navarria
- Radiotherapy and Radiosurgery Department, Humanitas Cancer Center and Research Hospital, Rozzano, Italy
| | - Luca Cozzi
- Radiotherapy and Radiosurgery Department, Humanitas Cancer Center and Research Hospital, Rozzano, Italy
- Department of Biomedical Sciences, Humanitas University, Rozzano, Italy
| | - Roberta Rudà
- Consultant of Neurosurgical Oncology Department, Humanitas Cancer Center and Research Hospital, Rozzano, Italy
| | - Marco Conti Nibali
- Neurosurgical Oncology Department, Humanitas Cancer Center and Research Hospital, Rozzano (Milan), Italy
| | - Matteo Simonelli
- Department of Biomedical Sciences, Humanitas University, Rozzano, Italy
- Hematology and Oncology Department, Humanitas Cancer Center and Research Hospital, Rozzano, Italy
| | - Francesco Costa
- Neurosurgical Oncology Department, Humanitas Cancer Center and Research Hospital, Rozzano (Milan), Italy
| | - Armando Santoro
- Department of Biomedical Sciences, Humanitas University, Rozzano, Italy
- Hematology and Oncology Department, Humanitas Cancer Center and Research Hospital, Rozzano, Italy
| | - Elena Clerici
- Radiotherapy and Radiosurgery Department, Humanitas Cancer Center and Research Hospital, Rozzano, Italy
| | - Giulio Carta
- Radiotherapy and Radiosurgery Department, Humanitas Cancer Center and Research Hospital, Rozzano, Italy
| | - Marta Scorsetti
- Radiotherapy and Radiosurgery Department, Humanitas Cancer Center and Research Hospital, Rozzano, Italy
- Department of Biomedical Sciences, Humanitas University, Rozzano, Italy
| | - Lorenzo Bello
- Neurosurgical Oncology Department, Humanitas Cancer Center and Research Hospital, Rozzano (Milan), Italy
- University of Milan, Milan, Italy
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Dreher C, Oberhollenzer J, Meissner JE, Windschuh J, Schuenke P, Regnery S, Sahm F, Bickelhaupt S, Bendszus M, Wick W, Unterberg A, Zaiss M, Bachert P, Ladd ME, Schlemmer HP, Radbruch A, Paech D. Chemical exchange saturation transfer (CEST) signal intensity at 7T MRI of WHO IV° gliomas is dependent on the anatomic location. J Magn Reson Imaging 2018; 49:777-785. [PMID: 30133046 DOI: 10.1002/jmri.26215] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 05/23/2018] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Chemical exchange saturation transfer (CEST) is a novel MRI technique applied to brain tumor patients. PURPOSE To investigate the anatomic location dependence of CEST MRI obtained at 7T and histopathological/molecular parameters in WHO IV° glioma patients. STUDY TYPE Analytic prospective study. POPULATION Twenty-one patients with newly diagnosed WHO IV° gliomas were studied prior to surgery; 11 healthy volunteers were investigated. FIELD STRENGTH/SEQUENCE Conventional MRI (contrast-enhanced, T2 w and diffusion-weighted imaging) at 3T and T2 w and CEST MRI at 7T was performed for patients and both patients and volunteers. ASSESSMENT Mean CEST signal intensities (nuclear-Overhauser-enhancement [NOE], amide-proton-transfer [APT], downfield NOE-suppressed APT [dns-APT]), ADC values, and histopathological/molecular parameters were evaluated with regard to hemisphere location and contact with the subventricular zone. CEST signal intensities of cerebral tissue of healthy volunteers were evaluated with regard to hemisphere discrimination. STATISTICAL TESTS Spearman correlation, Mann-Whitney U-test, Wilcoxon signed-rank-test, Fisher's exact test, and area under the receiver operating curve. RESULTS Maximum APT and dns-APT signal intensities were significantly different in right vs. left hemisphere gliomas (P = 0.037 and P = 0.007), but not in right vs. left hemisphere cerebral tissue of healthy subjects (P = 0.062-0.859). Mean ADC values were significantly decreased in right vs. left hemisphere gliomas (P = 0.044). Mean NOE signal intensity did not differ significantly between gliomas of either hemisphere (P = 0.820), but in case of subventricular zone contact (P = 0.047). A significant correlation was observed between APT and dns-APT and ADC signal intensities (rs = -0.627, P = 0.004 and rs = -0.534, P = 0.019), but not between NOE and ADC (rs = -0.341, P = 0.154). Histopathological/molecular parameters were not significantly different concerning the tumor location (P = 0.104-1.000, P = 0.286-0.696). DATA CONCLUSION APT, dns-APT, and ADC were inversely correlated and depended on the gliomas' hemisphere location. NOE showed significant dependence on subventricular zone contact. Location dependency of APT- and NOE-mediated CEST effects should be considered in clinical investigations of CEST MRI. LEVEL OF EVIDENCE 2 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2019;49:777-785.
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Affiliation(s)
- Constantin Dreher
- German Cancer Research Center (DKFZ), Division of Radiology, Heidelberg, Germany
| | | | - Jan-Eric Meissner
- German Cancer Research Center (DKFZ), Division of Medical Physics in Radiology, Heidelberg, Germany
| | - Johannes Windschuh
- German Cancer Research Center (DKFZ), Division of Medical Physics in Radiology, Heidelberg, Germany.,Department of Radiology, New York University Langone Medical Center, New York, New York, USA
| | - Patrick Schuenke
- German Cancer Research Center (DKFZ), Division of Medical Physics in Radiology, Heidelberg, Germany
| | - Sebastian Regnery
- Department of Radiooncology, University Hospital Heidelberg, Heidelberg, Germany
| | - Felix Sahm
- Department of Neuropathology, University Hospital Heidelberg, Heidelberg, Germany.,CCU Neuropathology, German Consortium for Translational Cancer Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Martin Bendszus
- Department of Neuroradiology, University Hospital Heidelberg, Heidelberg, Germany
| | - Wolfgang Wick
- Department of Neurology, University Hospital Heidelberg, Heidelberg, Germany
| | - Andreas Unterberg
- Department of Neurosurgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Moritz Zaiss
- Max-Planck-Institute for biological cybernetics, Magnetic Resonance Center, Tuebingen, Germany
| | - Peter Bachert
- German Cancer Research Center (DKFZ), Division of Medical Physics in Radiology, Heidelberg, Germany
| | - Mark E Ladd
- German Cancer Research Center (DKFZ), Division of Medical Physics in Radiology, Heidelberg, Germany.,Faculty of Physics and Astronomy, University of Heidelberg, Germany.,Faculty of Medicine, University of Heidelberg, Germany
| | | | - Alexander Radbruch
- German Cancer Research Center (DKFZ), Division of Radiology, Heidelberg, Germany
| | - Daniel Paech
- German Cancer Research Center (DKFZ), Division of Radiology, Heidelberg, Germany
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Mampre D, Ehresman J, Pinilla-Monsalve G, Osorio MAG, Olivi A, Quinones-Hinojosa A, Chaichana KL. Extending the resection beyond the contrast-enhancement for glioblastoma: feasibility, efficacy, and outcomes. Br J Neurosurg 2018; 32:528-535. [PMID: 30073866 DOI: 10.1080/02688697.2018.1498450] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
OBJECT It is becoming well-established that increasing extent of resection with decreasing residual volume is associated with delayed recurrence and prolonged survival for patients with glioblastoma (GBM). These prior studies are based on evaluating the contrast-enhancing (CE) tumour and not the surrounding fluid attenuated inversion recovery (FLAIR) volume. It therefore remains unclear if the resection beyond the CE portion of the tumour if it translates into improved outcomes for patients with GBM. METHODS Adult patients who underwent resection of a primary glioblastoma at a tertiary care institution between January 1, 2007 and December 31, 2012 and underwent radiation and temozolomide chemotherapy were retrospectively reviewed. Pre and postoperative MRI images were measured for CE tumour and FLAIR volumes. Multivariate proportional hazards were used to assess associations with both time to recurrence and death. Values with p < 0.05 were considered statistically significant. RESULTS 245 patients met the inclusion criteria. The median [IQR] preoperative CE and FLAIR tumour volumes were 31.9 [13.9-56.1] cm3 and 78.3 [44.7-115.6] cm3, respectively. Following surgery, the median [IQR] postoperative CE and FLAIR tumour volumes were 1.9 [0-7.1] cm3 and 59.7 [29.7-94.2] cm3, respectively. In multivariate analyses, the postoperative FLAIR volume was not associated with recurrence and/or survival (p > 0.05). However, the postoperative CE tumour volume was significantly associated with both recurrence [HR (95%CI); 1.026 (1.005-1.048), p = 0.01] and survival [HR (95%CI); 1.027 (1.007-1.032), p = 0.001]. The postoperative FLAIR volume was also not associated with recurrence and/or survival among patients who underwent gross total resection of the CE portion of the tumour as well as those who underwent supratotal resection. CONCLUSIONS In this study, the volume of CE tumour remaining after resection is more important than FLAIR volume in regards to recurrence and survival for patients with GBM.
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Affiliation(s)
- David Mampre
- a Johns Hopkins University School of Medicine , Baltimore , MD , USA
| | - Jeffrey Ehresman
- a Johns Hopkins University School of Medicine , Baltimore , MD , USA
| | | | | | - Alessandro Olivi
- b Department of Neurosurgery, Catholic University of Rome , Rome , Italy
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Heiland DH, Haaker G, Watzlawick R, Delev D, Masalha W, Franco P, Machein M, Staszewski O, Oelhke O, Nicolay NH, Schnell O. One decade of glioblastoma multiforme surgery in 342 elderly patients: what have we learned? J Neurooncol 2018; 140:385-391. [PMID: 30076585 DOI: 10.1007/s11060-018-2964-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Accepted: 07/06/2018] [Indexed: 12/25/2022]
Abstract
INTRODUCTION Glioblastoma multiforme (GBM) is the most common malignant primary brain tumor in adults with peak incidence in patients older than 65 years. These patients are mostly underrepresented in clinical trials and often undertreated due to concomitant diseases. Recently, different therapeutic approaches for elderly patients with GBM were discussed. To date, there is no defined standard treatment. The aim of the present study is to evaluate the functional and oncological outcome in surgical treatment of elderly patients. MATERIALS AND METHODS A total of 342 elderly patients aged ≥ 65 years were retrospectively analyzed in our neurosurgical center. Surgical therapy, adjuvant treatment, overall survival (OS) and functional outcome using Karnofsky performance scale (KPS) and Neurological assessment of neuro-oncology-score were analyzed. RESULTS The median age at GBM diagnosis was 73.4 (IQR 9.28) years. Median overall survival was 7.5 (CI 95% 6.0-9.1) months and median preoperative or postoperative KPS was 80 (IQR 20). Surgical resection was performed in 216 (63.2%) patients, in 125 patients (36.5%) patients a stereotactic biopsy was performed. The median OS was significantly higher in patients with gross total resection (GTR) compared to partial resection and biopsy (10.8 months; CI 95% 9.5-12.3). Patients with combined radio- and chemo-therapy (RCT) showed significant longer OS, particularly MGMT-negative GBM. Higher preoperative KPS was found to be associated with improved overall survival. CONCLUSION GTR and adjuvant combined RCT provides benefits for overall survival in elderly patients. Therapy decision should be made in regard to preoperative functional status instead of biological age.
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Affiliation(s)
- Dieter Henrik Heiland
- Department of Neurosurgery, Medical Center, University of Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany.
- Faculty of Medicine, University of Freiburg, Freiburg, Germany.
| | - Gerrit Haaker
- Department of Neurosurgery, Medical Center, University of Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Ralf Watzlawick
- Department of Neurosurgery, Medical Center, University of Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Daniel Delev
- Department of Neurosurgery, Medical Center, University of Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Waseem Masalha
- Department of Neurosurgery, Medical Center, University of Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Pamela Franco
- Department of Neurosurgery, Medical Center, University of Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Marcia Machein
- Department of Neurosurgery, Medical Center, University of Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Ori Staszewski
- Institute of Neuropathology, Medical Center, University of Freiburg, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Oliver Oelhke
- Radiation Clinic, Medical Center, University of Freiburg, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Nils Henrik Nicolay
- Radiation Clinic, Medical Center, University of Freiburg, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Oliver Schnell
- Department of Neurosurgery, Medical Center, University of Freiburg, Breisacher Straße 64, 79106, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
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Abstract
The detection of glioblastoma (GBM) in biofluids offers potential advantages over existing paradigms for the diagnosis and therapeutic monitoring of glial tumors. Biofluid-based detection of GBM focuses on detecting tumor-specific biomarkers in the blood and CSF. Current clinical research concentrates on studying 3 distinct tumor-related elements: extracellular macromolecules, extracellular vesicles, and circulating tumor cells. Investigations into these 3 biological classifications span the range of locales for tumor-specific biomarker discovery, and combined, have the potential to significantly impact GBM diagnosis, monitoring for treatment response, and surveillance for recurrence. This review highlights the recent advancements in the development of biomarkers and their efficacy for the detection of GBM.
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70
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Prognostic value of the Glasgow Prognostic Score for glioblastoma multiforme patients treated with radiotherapy and temozolomide. J Neurooncol 2018; 139:411-419. [PMID: 29696530 DOI: 10.1007/s11060-018-2879-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Accepted: 04/22/2018] [Indexed: 01/01/2023]
Abstract
INTRODUCTION To evaluate the prognostic value of the Glasgow Prognostic Score (GPS), the combination of C-reactive protein (CRP) and albumin, in glioblastoma multiforme (GBM) patients treated with radiotherapy (RT) and concurrent plus adjuvant temozolomide (GPS). METHODS Data of newly diagnosed GBM patients treated with partial brain RT and concurrent and adjuvant TMZ were retrospectively analyzed. The patients were grouped into three according to the GPS criteria: GPS-0: CRP < 10 mg/L and albumin > 35 g/L; GPS-1: CRP < 10 mg/L and albumin < 35 g/L or CRP > 10 mg/L and albumin > 35 g/L; and GPS-2: CRP > 10 mg/L and albumin < 35 g/L. Primary end-point was the association between the GPS groups and the overall survival (OS) outcomes. RESULTS A total of 142 patients were analyzed (median age: 58 years, 66.2% male). There were 64 (45.1%), 40 (28.2%), and 38 (26.7%) patients in GPS-0, GPS-1, and GPS-2 groups, respectively. At median 15.7 months follow-up, the respective median and 5-year OS rates for the whole cohort were 16.2 months (95% CI 12.7-19.7) and 9.5%. In multivariate analyses GPS grouping emerged independently associated with the median OS (P < 0.001) in addition to the extent of surgery (P = 0.032), Karnofsky performance status (P = 0.009), and the Radiation Therapy Oncology Group recursive partitioning analysis (RTOG RPA) classification (P < 0.001). The GPS grouping and the RTOG RPA classification were found to be strongly correlated in prognostic stratification of GBM patients (correlation coefficient: 0.42; P < 0.001). CONCLUSIONS The GPS appeared to be useful in prognostic stratification of GBM patients into three groups with significantly different survival durations resembling the RTOG RPA classification.
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71
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Multi-center study finds postoperative residual non-enhancing component of glioblastoma as a new determinant of patient outcome. J Neurooncol 2018; 139:125-133. [DOI: 10.1007/s11060-018-2850-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Accepted: 03/25/2018] [Indexed: 10/17/2022]
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72
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Surgical treatment of glioblastoma in the elderly: the impact of complications. J Neurooncol 2018; 138:123-132. [PMID: 29392589 DOI: 10.1007/s11060-018-2777-9] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Accepted: 01/24/2018] [Indexed: 12/21/2022]
Abstract
The diagnosis of glioblastoma (GBM) often carries a dismal prognosis, with a median survival of 14.6 months. A particular challenge is the diagnosis of GBM in the elderly population (age > 75 years), who have significant comorbidities, present with worse functional status, and are at higher risk with surgical treatments. We sought to evaluate the impact of current GBM treatment, specifically in the elderly population. The authors undertook a retrospective review of all patients aged 75 or older who underwent treatment for GBM from 1997 to 2016. Patient outcomes were evaluated with regards to demographics, surgical variables, postoperative treatment, and complications. A total of 82 patients (mean age 80.5 ± 3.8 years) were seen. Most patients presented with confusion (57.3%) and associated comorbidities, and prior anticoagulation use was common in this age group. Extent of resection (EOR) included no surgery (9.8%), biopsy (22.0%), subtotal resection (40.2%), and gross-total resection (23.2%). Postoperative adjuvant therapy included temozolomide (36.1%), radiation (52.5%), and bevacizumab (11.9%). A mean overall survival of 6.3 ± 1.2 months was observed. There were 34 complications in 23 patients. Improved survival was seen with increased EOR only for patients without postoperative complications. A multivariate Cox proportional hazards model showed that complications (HR = 5.43, 95% CI 1.73, 17.04, p = 0.004) predicted poor outcome. Long-term survivors (> 12 months survival) and short-term survivors had similar median preoperative Karnofsky Performance Scale (KPS) score (80 vs. 80, p = 0.43), but long-term survivors had unchanged postoperative KPS (80 vs. 60, p = 0.02) and no complications (0/9 vs. 23/72, p = 0.04). The benefit of glioblastoma treatment in our series was limited by the postoperative complications and KPS. Presence of a complication served as an independent risk factor for worsened overall survival in this age group. It is likely that decreased patient function limits postoperative adjuvant therapy and predisposes to higher morbidity especially in this age group.
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Young JS, Chmura SJ, Wainwright DA, Yamini B, Peters KB, Lukas RV. Management of glioblastoma in elderly patients. J Neurol Sci 2017; 380:250-255. [PMID: 28870580 DOI: 10.1016/j.jns.2017.07.048] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Revised: 07/06/2017] [Accepted: 07/31/2017] [Indexed: 12/26/2022]
Abstract
Glioblastoma (GBM) is the most common primary malignant brain tumor in adults over 55years of age. The median age of diagnosis for patients with GBM is 64years old, with the incidence of patients between 75 and 85 increasing. The optimal treatment paradigm for elderly GBM patients continues to evolve due to the higher frequency of age-related and/or medical co-morbidities. Geriatric GBM patients have historically been excluded from larger, controlled clinical trials due to their presumed decreased likelihood of a sustained treatment response and/or a prolonged good outcome. Here, we highlight current treatment considerations of elderly GBM patients with respect to surgical, radiotherapeutic and systemic modalities, with considerations for improving future clinical outcomes for this patient population.
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Affiliation(s)
- Jacob S Young
- University of California, San Francisco, Department of Neurological Surgery, United States
| | - Steven J Chmura
- Department of Radiation and Cellular Oncology, The University of Chicago, United States
| | | | - Bakhtiar Yamini
- Section of Neurosurgery, The University of Chicago, United States
| | | | - Rimas V Lukas
- Department of Neurology, Northwestern University, United States.
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Lovato RM, Vitorino Araujo JL, Esteves Veiga JC. Low-Cost Device for Fluorescein-Guided Surgery in Malignant Brain Tumor. World Neurosurg 2017; 104:61-67. [DOI: 10.1016/j.wneu.2017.04.169] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Revised: 04/26/2017] [Accepted: 04/27/2017] [Indexed: 11/29/2022]
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NKCC1 Regulates Migration Ability of Glioblastoma Cells by Modulation of Actin Dynamics and Interacting with Cofilin. EBioMedicine 2017; 21:94-103. [PMID: 28679472 PMCID: PMC5514434 DOI: 10.1016/j.ebiom.2017.06.020] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Revised: 05/22/2017] [Accepted: 06/19/2017] [Indexed: 01/21/2023] Open
Abstract
Glioblastoma (GBM) is the most aggressive primary brain tumor in adults. The mechanisms that confer GBM cells their invasive behavior are poorly understood. The electroneutral Na+-K+-2Cl- co-transporter 1 (NKCC1) is an important cell volume regulator that participates in cell migration. We have shown that inhibition of NKCC1 in GBM cells leads to decreased cell migration, in vitro and in vivo. We now report on the role of NKCC1 on cytoskeletal dynamics. We show that GBM cells display a significant decrease in F-actin content upon NKCC1 knockdown (NKCC1-KD). To determine the potential actin-regulatory mechanisms affected by NKCC1 inhibition, we studied NKCC1 protein interactions. We found that NKCC1 interacts with the actin-regulating protein Cofilin-1 and can regulate its membrane localization. Finally, we analyzed whether NKCC1 could regulate the activity of the small Rho-GTPases RhoA and Rac1. We observed that the active forms of RhoA and Rac1 were decreased in NKCC1-KD cells. In summary, we report that NKCC1 regulates GBM cell migration by modulating the cytoskeleton through multiple targets including F-actin regulation through Cofilin-1 and RhoGTPase activity. Due to its essential role in cell migration NKCC1 may serve as a specific therapeutic target to decrease cell invasion in patients with primary brain cancer.
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Cata JP, Bhavsar S, Hagan KB, Arunkumar R, Grasu R, Dang A, Carlson R, Arnold B, Popat K, Rao G, Potylchansky Y, Lipski I, Ratty S, Nguyen AT, McHugh T, Feng L, Rahlfs TF. Intraoperative serum lactate is not a predictor of survival after glioblastoma surgery. J Clin Neurosci 2017; 43:224-228. [PMID: 28601568 DOI: 10.1016/j.jocn.2017.05.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2016] [Revised: 03/21/2017] [Accepted: 05/21/2017] [Indexed: 01/15/2023]
Abstract
BACKGROUND Cancer cells can produce lactate in high concentrations. Two previous studies examined the clinical relevance of serum lactate as a biomarker in patients with brain tumors. Patients with high-grade tumors have higher serum concentrations of lactate than those with low-grade tumors. We hypothesized that serum lactic could be used of biomarker to predictor of survival in patients with glioblastoma (GB). METHODS This was a retrospective study. Demographic, lactate concentrations and imaging data from 275 adult patients with primary GB was included in the analysis. The progression free survival (PFS) and overall survival (OS) rates were compared in patients who had above and below the median concentrations of lactate. We also investigated the correlation between lactate concentrations and tumor volume. Multivariate analyses were conducted to test the association lactate, tumor volume and demographic variables with PFS and OS. RESULTS The median serum concentration of lactate was 2.3mmol/L. A weak correlation was found between lactate concentrations and tumor volume. Kaplan-Meier curves demonstrated similar survival in patients with higher or lower than 2.3mmol/L of lactate. The multivariate analysis indicated that the intraoperative levels of lactate were not independently associated with changes in survival. On another hand, a preoperative T1 volume was an independent predictor PFS (HR 95%CI: 1.41, 1.02-1.82, p=0.006) and OS (HR 95%CI: 1.47, 1.11-1.96, p=0.006). CONCLUSION This retrospective study suggests that the serum concentrations of lactate cannot be used as a biomarker to predict survival after GB surgery. To date, there are no clinically available serum biomarkers to determine prognosis in patients with high-grade gliomas. These tumors may produce high levels of lactic acid. We hypothesized that serum lactic could be used of biomarker to predictor of survival in patients with glioblastoma (GB). In this study, we collected perioperative and survival data from 275 adult patients with primary high-grade gliomas to determine whether intraoperative serum acid lactic concentrations can serve as a marker of prognosis. The median serum concentration of lactate was 2.3mmol/L. Our analysis indicated the intraoperative levels of lactate were not independently associated with changes in survival. This retrospective study suggests that the serum concentrations of lactate cannot be used as a biomarker to predict survival after GB surgery.
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Affiliation(s)
- J P Cata
- Department of Anesthesiology and Perioperative Medicine, The University of Texas - MD Anderson Cancer Center, Houston, TX, USA; Anesthesiology and Surgical Oncology Research Group, Houston, TX, USA.
| | - S Bhavsar
- Department of Anesthesiology and Perioperative Medicine, The University of Texas - MD Anderson Cancer Center, Houston, TX, USA
| | - K B Hagan
- Department of Anesthesiology and Perioperative Medicine, The University of Texas - MD Anderson Cancer Center, Houston, TX, USA
| | - R Arunkumar
- Department of Anesthesiology and Perioperative Medicine, The University of Texas - MD Anderson Cancer Center, Houston, TX, USA
| | - R Grasu
- Department of Anesthesiology and Perioperative Medicine, The University of Texas - MD Anderson Cancer Center, Houston, TX, USA
| | - A Dang
- Department of Anesthesiology and Perioperative Medicine, The University of Texas - MD Anderson Cancer Center, Houston, TX, USA
| | - R Carlson
- Department of Anesthesiology and Perioperative Medicine, The University of Texas - MD Anderson Cancer Center, Houston, TX, USA
| | - B Arnold
- Department of Anesthesiology and Perioperative Medicine, The University of Texas - MD Anderson Cancer Center, Houston, TX, USA
| | - K Popat
- Department of Anesthesiology and Perioperative Medicine, The University of Texas - MD Anderson Cancer Center, Houston, TX, USA
| | - Ganesh Rao
- Department of Neurosurgery, The University of Texas - MD Anderson Cancer Center, Houston, TX, USA
| | - Y Potylchansky
- Department of Anesthesiology and Perioperative Medicine, The University of Texas - MD Anderson Cancer Center, Houston, TX, USA
| | - I Lipski
- Department of Anesthesiology and Perioperative Medicine, The University of Texas - MD Anderson Cancer Center, Houston, TX, USA
| | - Sally Ratty
- Department of Anesthesiology and Perioperative Medicine, The University of Texas - MD Anderson Cancer Center, Houston, TX, USA
| | - A T Nguyen
- Department of Anesthesiology and Perioperative Medicine, The University of Texas - MD Anderson Cancer Center, Houston, TX, USA
| | - Thomas McHugh
- Department of Anesthesiology and Perioperative Medicine, The University of Texas - MD Anderson Cancer Center, Houston, TX, USA
| | - L Feng
- Department of Biostatistics, The University of Texas - MD Anderson Cancer Center, Houston, TX, USA
| | - T F Rahlfs
- Department of Anesthesiology and Perioperative Medicine, The University of Texas - MD Anderson Cancer Center, Houston, TX, USA
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Flanigan PM, Jahangiri A, Kuang R, Truong A, Choi S, Chou A, Molinaro AM, McDermott MW, Berger MS, Aghi MK. Developing an Algorithm for Optimizing Care of Elderly Patients With Glioblastoma. Neurosurgery 2017; 82:64-75. [DOI: 10.1093/neuros/nyx148] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Accepted: 03/08/2017] [Indexed: 11/14/2022] Open
Abstract
Abstract
BACKGROUND
Elderly patients with glioblastoma have an especially poor prognosis; optimizing their medical and surgical care remains of paramount importance.
OBJECTIVE
To investigate patient and treatment characteristics of elderly vs nonelderly patients and develop an algorithm to predict elderly patients’ survival.
METHODS
Retrospective analysis of 554 patients (mean age = 60.8; 42.0% female) undergoing first glioblastoma resection or biopsy at our institution (2005-2011).
RESULTS
Of the 554 patients, 218 (39%) were elderly (≥65 yr). Compared with nonelderly, elderly patients were more likely to receive biopsy only (26% vs 16%), have ≥1 medical comorbidity (40% vs 20%), and develop postresection morbidity (eg, seizure, delirium; 25% vs 14%), and were less likely to receive temozolomide (TMZ) (78% vs 90%) and gross total resection (31% vs 45%). To predict benefit of resection in elderly patients (n = 161), we identified 5 factors known in the preoperative period that predicted survival in a multivariate analysis. We then assigned points to each (1 point: Charlson comorbidity score >0, subtotal resection, tumor >3 cm; 2 points: preoperative weakness, Charlson comorbidity score >1, tumor >5 cm, age >75 yr; 4 points: age >85 yr). Having 3 to 5 points (n = 78, 56%) was associated with decreased survival compared to 0 to 2 points (n = 41, 29%, 8.5 vs 16.9 mo; P = .001) and increased survival compared to 6 to 9 points (n = 20, 14%, 8.5 vs 4.5 mo; P < .001). Patients with 6 to 9 points did not survive significantly longer than elderly patients receiving biopsy only (n = 57, 4.5 vs 2.7 mo; P = .58).
CONCLUSION
Further optimization of the medical and surgical care of elderly glioblastoma patients may be achieved by providing more beneficial therapies while avoiding unnecessary resection in those not likely to receive benefit from this intervention.
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Affiliation(s)
- Patrick M Flanigan
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Arman Jahangiri
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Ruby Kuang
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Albert Truong
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Sarah Choi
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Alvin Chou
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Annette M Molinaro
- Departments of Neurological Surgery and Epidemiology and Biostatistics, University of California, San Francisco, California
| | - Michael W McDermott
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Manish K Aghi
- Department of Neurological Surgery, University of California, San Francisco, California
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78
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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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79
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Pattern of care and outcome in elderly patients with glioblastoma: Data in 151 patients from 3 Lombardia Hospitals. J Neurol Sci 2017; 378:3-8. [PMID: 28566172 DOI: 10.1016/j.jns.2017.04.030] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Revised: 03/30/2017] [Accepted: 04/17/2017] [Indexed: 01/15/2023]
Abstract
The appropriate treatment approach for elderly patients with glioblastoma multiforme (GBM) is unclear, although different studies suggest survival benefit in fit patients treated with radiotherapy and chemiotherapy after surgery. We performed a retrospective analysis of 151 patients older than 65years with GBM treated in 3 Lombardia Hospitals. In univariate regression analysis higher KPS (p=0.02), macroscopical total resection (p<0.003), radiotherapy (p<0.0001), chemotherapy (p<0.0001) and second line chemotheraphy (p=0.02) were of positive prognostic value. On the contrary older age (>70years), presence of seizure at onset and additional resection after tumor recurrence did not influence OS. Multivariate analysis revealed radiotherapy (HR 0.2 p<0.0001) and extent of surgery (HR 0.3, p=0,0063) as positive independent prognostic factors. Patients receiving radio-chemiotherapy displayed more treatment-related toxicities with a slightly prolonged OS versus those receiving hypofractionated radiotherapy. With the limits of a retrospective study, our data suggest that in elderly fit patients extensive surgery should be considered, moreover adjuvant treatments led to an increase in OS. Randomized controlled study are needed to develop treatment guidelines for elderly GBM patients and to assess whether the combination of post-surgical radio and chemiotherapy may be superior to hypofractionated radiotherapy and chemiotherapy in fit patients.
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80
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Yang JM, Schiapparelli P, Nguyen HN, Igarashi A, Zhang Q, Abbadi S, Amzel LM, Sesaki H, Quiñones-Hinojosa A, Iijima M. Characterization of PTEN mutations in brain cancer reveals that pten mono-ubiquitination promotes protein stability and nuclear localization. Oncogene 2017; 36:3673-3685. [PMID: 28263967 PMCID: PMC5491373 DOI: 10.1038/onc.2016.493] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2016] [Revised: 11/21/2016] [Accepted: 11/29/2016] [Indexed: 12/26/2022]
Abstract
PTEN is a PIP3 phosphatase that antagonizes oncogenic PI3-kinase signalling. Due to its critical role in suppressing the potent signalling pathway, it is one of the most mutated tumour suppressors, especially in brain tumours. It is generally thought that PTEN deficiencies predominantly result from either loss of expression or enzymatic activity. By analysing PTEN in malignant glioblastoma primary cells derived from 16 of our patients, we report mutations that block localization of PTEN at the plasma membrane and nucleus without affecting lipid phosphatase activity. Cellular and biochemical analyses as well as structural modelling revealed that two mutations disrupt intramolecular interaction of PTEN and open its conformation, enhancing polyubiquitination of PTEN and decreasing protein stability. Moreover, promoting mono-ubiquitination increases protein stability and nuclear localization of mutant PTEN. Thus, our findings provide a molecular mechanism for cancer-associated PTEN defects and may lead to a brain cancer treatment that targets PTEN mono-ubiquitination.
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Affiliation(s)
- Jr-M Yang
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - P Schiapparelli
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - H-N Nguyen
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - A Igarashi
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Q Zhang
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - S Abbadi
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - L M Amzel
- Department of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - H Sesaki
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - A Quiñones-Hinojosa
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - M Iijima
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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81
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Marcus HJ, Williams S, Hughes-Hallett A, Camp SJ, Nandi D, Thorne L. Predicting surgical outcome in patients with glioblastoma multiforme using pre-operative magnetic resonance imaging: development and preliminary validation of a grading system. Neurosurg Rev 2017; 40:621-631. [PMID: 28204997 PMCID: PMC5591365 DOI: 10.1007/s10143-017-0817-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2016] [Revised: 12/20/2016] [Accepted: 01/18/2017] [Indexed: 01/10/2023]
Abstract
The lack of a simple, objective and reproducible system to describe glioblastoma multiforme (GBM) represents a major limitation in comparative effectiveness research. The objectives of this study were therefore to develop such a grading system and to validate it on patients who underwent surgical resection. A systematic review of the literature was performed to identify features on pre-operative magnetic resonance imaging (MRI) that predict the surgical outcome of patients with GBM. In all, the five most important features of GBM on pre-operative MRI were as follows: periventricular or deep location, corpus callosum or bilateral location, eloquent location, size and associated oedema. These were then used to develop a grading system. To validate this grading system, a retrospective cohort study of all adult patients with supratentorial GBM who underwent surgical resection between the 1 January 2014 and the 31 June 2015 was performed. There was a substantial agreement between the two neurosurgeons grading GBM (Cohen’s κ was 0.625; standard error 0.066). High-complexity lesions were significantly less likely to result in complete resection of contrast-enhancing tumour than low-complexity lesions (50.0 versus 3.4%; p = 0.0007). The proposed grading system may allow for the standardised communication of anatomical features of GBM identified on pre-operative MRI.
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Affiliation(s)
- Hani J Marcus
- The Hamlyn Centre, Institute of Global Health Innovation, Imperial College, London, UK. .,Department of Neurosurgery, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London, UK. .,Clinical Research Fellow and Specialty Registrar in Neurosurgery, Hamlyn Centre, Imperial College London and Imperial College Healthcare NHS Trust, Paterson Building (Level 3), Praed Street, London, W2 1NY, UK.
| | | | - Archie Hughes-Hallett
- The Hamlyn Centre, Institute of Global Health Innovation, Imperial College, London, UK
| | - Sophie J Camp
- Department of Neurosurgery, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Dipankar Nandi
- Department of Neurosurgery, Charing Cross Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Lewis Thorne
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, UCLH Foundation Trust, London, UK
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82
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McGahan BG, Neilsen BK, Kelly DL, McComb RD, Kazmi SAJ, White ML, Zhang Y, Aizenberg MR. Assessment of vascularity in glioblastoma and its implications on patient outcomes. J Neurooncol 2017; 132:35-44. [PMID: 28102487 DOI: 10.1007/s11060-016-2350-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2016] [Accepted: 12/23/2016] [Indexed: 12/15/2022]
Abstract
There is little data on why glioblastomas (GBM) hemorrhage and how it may affect patient outcomes. The aim of this study was to investigate the mechanisms of hemorrhage in glioblastoma by examining molecular and genetic features by immunohistochemistry (IHC) and mRNA expression profiles in association with imaging and clinical outcomes. An observational retrospective cohort analysis was performed on 43 FFPE GBM tissue samples. MR images were assessed for the presence of hemorrhage and extent of resection. Specimens were examined for CD34 and CD105 expression using IHC. Tumor mRNA expression profiles were analyzed for 92 genes related to angiogenesis and vascularity. Forty-three specimens were analyzed, and 20 showed signs of hemorrhage, 23 did not. The average OS for patients with GBM with hemorrhage was 19.12 months (95% CI 10.39-27.84), versus 13.85 months (95% CI 8.85-18.85) in those without hemorrhage (p > 0.05). Tumors that hemorrhaged had higher IHC staining for CD34 and CD105. mRNA expression analysis revealed tumor hemorrhage was associated with increased expression of HIF1α and MDK, and decreased expression of F3. Hemorrhage in GBM was not associated with worsened OS. Increased expression of angiogenic factors and increased CD34 and CD105 IHC staining in tumors with hemorrhage suggests that increased hypoxia-induced angiogenesis and vessel density may play a role in glioblastoma hemorrhage. Characterizing tumors that are prone to hemorrhage and mechanisms behind the development of these hemorrhages may provide insights that can lead to the development of targeted, individualized therapies for glioblastoma.
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Affiliation(s)
- Ben G McGahan
- Division of Neurosurgery, University of Nebraska Medical Center, 982035 Nebraska Medical Center, Omaha, NE, 68198-2035, USA
| | - Beth K Neilsen
- Fred and Pamela Buffet Cancer Center, University of Nebraska Medical Center, Omaha, USA
| | - David L Kelly
- Fred and Pamela Buffet Cancer Center, University of Nebraska Medical Center, Omaha, USA
| | - Rodney D McComb
- Department of Pathology, University of Nebraska Medical Center, Omaha, USA
| | - S A Jaffar Kazmi
- Geisinger Medical Laboratories, Geisinger Medical Center, Danville, PA, USA
| | - Matt L White
- Department of Radiology, University of Nebraska Medical Center, Omaha, NE, USA
| | - Yan Zhang
- Department of Radiology, University of Nebraska Medical Center, Omaha, NE, USA
| | - Michele R Aizenberg
- Division of Neurosurgery, University of Nebraska Medical Center, 982035 Nebraska Medical Center, Omaha, NE, 68198-2035, USA.
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83
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Shah AH, Barbarite E, Scoma C, Kuchakulla M, Parikh S, Bregy A, Komotar RJ. Revisiting the Relationship Between Ethnicity and Outcome in Glioblastoma Patients. Cureus 2017; 9:e954. [PMID: 28168132 PMCID: PMC5291705 DOI: 10.7759/cureus.954] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Background: Relationships between various ethnicities and glioma subtype have recently been established. As a tertiary referral center for Latin America and the Caribbean, our institution treats a diverse glioblastoma (GBM) population. We sought to clarify the role of ethnicity on patient prognosis in GBM and also compared these findings to a group consisting of elderly patients. We included ‘elderly’ as a group because the subgroups for ethnicities within them were too small. It allowed us to put in scope the effects of ethnicities on the overall survival. Material and Methods: After Institutional Review Board approval, 235 patients with GBM were retrospectively identified. A total of 140 patients were separated into four groups: White adults (n = 47), Hispanic adults (n = 27), elderly (n = 58), and Black adults (n = 6). Overall survival (OS) was our primary endpoint. Results: Overall survival in the White adult group was 24.3 months, compared to 13.0 months in the Hispanic adult group, 20.2 months in the Black group, and 13.8 months in the elderly group (p = 0.01). In the Hispanic group, hypertension (37.9%, p = 0.01) and diabetes (24.1%, p = 0.009) were significantly more prevalent compared to the White adult cohort. No difference in insurance status or postoperative complications was found between subgroups. Conclusion: Based on our analysis, Hispanic adults may have a decreased survival compared to White adults. However, the incidence of hypertension and diabetes was markedly higher in our Hispanic adult cohort; thus, estimating the risk of ethnicity and comorbidities on patient prognosis may be difficult. A prospective study correlating the genome and subgroup prognosis may help elucidate the role of ethnicity in GBM patients.
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Affiliation(s)
- Ashish H Shah
- Department of Neurological Surgery, University of Miami Miller School of Medicine
| | - Eric Barbarite
- Department of Neurological Surgery, University of Miami Miller School of Medicine
| | - Christopher Scoma
- Department of Neurological Surgery, University of Miami Miller School of Medicine
| | - Manish Kuchakulla
- Department of Neurological Surgery, University of Miami Miller School of Medicine
| | - Sahil Parikh
- Department of Neurological Surgery, University of Miami Miller School of Medicine
| | - Amade Bregy
- Department of Neurological Surgery, University of Miami Miller School of Medicine
| | - Ricardo J Komotar
- Department of Neurological Surgery, University of Miami Miller School of Medicine
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84
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85
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Badhiwala JH, Nassiri F, Almenawer SA. Letter to the Editor: Glioblastoma in the elderly. J Neurosurg 2016; 124:1879-81. [DOI: 10.3171/2015.12.jns152936] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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86
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Altwairgi AK, Algareeb W, Yahya G, Maklad AM, Aly MM, Al Shakweer W, Balbaid A, Alsaeed E, Alhussain H, Orz Y, Lary A, Elyamany A. Outcome of patients with glioblastoma in Saudi Arabia: Single center experience. Mol Clin Oncol 2016; 4:756-762. [PMID: 27123275 PMCID: PMC4840558 DOI: 10.3892/mco.2016.818] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Accepted: 02/25/2016] [Indexed: 11/21/2022] Open
Abstract
Glioblastoma multiforme (GBM), the most common primary brain tumor in adults, is associated with one of the worst 5 year survival rates among all human cancer types. To date, no published data are available for the outcome of this disease in Saudi Arabia. The present study performed a single-center, retrospective cohort study to evaluate the outcome of patients with GBM in Saudi Arabia. The Comprehensive Cancer Center at King Fahad Medical city (Riyadh, Saudi Arabia) was used in the present study. All adult patients (≥18 years) diagnosed with histologically proven GBM between January 2008 and December 2013 were included in the present study. A total of 90 patients were treated during the specified period. Of this, 73 (81%) patients underwent resection and 17 (19%) had biopsy only. The majority of patients (n=88; 98%) received radiotherapy (XRT): 67 (76%) with standard and 21 (24%) with hypo-fractionated dosage. Of the total patients, 65 (72%) received combined modality therapy [standard XRT concurrently with Temozolmide (TMZ)]. The 6 month progression-free survival rate was 43% for all patients and 55% for the combined modality subgroup. The median overall survival (OS) for all patients was 13.7 months. However, the median OS for patients treated with combined modality was 19.7 months. In this single-center retrospective study, the outcomes of patients with GBM were similar to those in previously reported studies. An improved outcome was associated with an improved performance status, absence of residual disease and use of adjuvant TMZ.
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Affiliation(s)
- Abdullah K Altwairgi
- Medical Oncology Department, Comprehensive Cancer Center, King Fahad Medical City, Riyadh 11525, Saudi Arabia
| | - Waleed Algareeb
- Medical Oncology Department, Comprehensive Cancer Center, King Fahad Medical City, Riyadh 11525, Saudi Arabia
| | - Gaaem Yahya
- Medical Oncology Department, Comprehensive Cancer Center, King Fahad Medical City, Riyadh 11525, Saudi Arabia
| | - Ahmed M Maklad
- Radiation Oncology Department, Comprehensive Cancer Center, King Fahad Medical City, Riyadh 11525, Saudi Arabia; Clinical Oncology and Nuclear Medicine Department, Sohag University, Sohag 11432, Egypt
| | - Moamen Mom Aly
- Radiation Oncology Department, Comprehensive Cancer Center, King Fahad Medical City, Riyadh 11525, Saudi Arabia; Radiotherapy and Nuclear Medicine Department, South Egypt Cancer Institute, Assiut University, Assiut 71515, Egypt
| | - Wafa Al Shakweer
- Pathology and Clinical Laboratory Medicine Department, King Fahad Medical City, Riyadh 11525, Saudi Arabia
| | - Ali Balbaid
- Radiation Oncology Department, Comprehensive Cancer Center, King Fahad Medical City, Riyadh 11525, Saudi Arabia
| | - Eyad Alsaeed
- Radiation Oncology Department, Comprehensive Cancer Center, King Fahad Medical City, Riyadh 11525, Saudi Arabia
| | - Hussain Alhussain
- Radiation Oncology Department, Comprehensive Cancer Center, King Fahad Medical City, Riyadh 11525, Saudi Arabia
| | - Yassir Orz
- National Neuroscience Institute, King Fahad Medical City, Riyadh 11525, Saudi Arabia
| | - Ahmed Lary
- National Neuroscience Institute, King Fahad Medical City, Riyadh 11525, Saudi Arabia
| | - Ashraf Elyamany
- Medical Oncology Department, Comprehensive Cancer Center, King Fahad Medical City, Riyadh 11525, Saudi Arabia
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87
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Jackson C, Westphal M, Quiñones-Hinojosa A. Complications of glioma surgery. HANDBOOK OF CLINICAL NEUROLOGY 2016; 134:201-18. [PMID: 26948356 DOI: 10.1016/b978-0-12-802997-8.00012-8] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
Even with current advances in adjunctive therapies, including radiation, chemotherapy, and various clinical trials of gene therapy and immunotherapy, surgical resection remains one of the most effective treatment for intra-axial gliomas. Survival in these patients has been shown to be related to the extent of resection. In some cases, it can provide cures of long-term remission; in others, it can provide disease control when combined with the above adjunctive treatments. However, surgical resection carries its own risks and complications. These complications can be broadly divided into neurologic, regional, and systemic, including direct cortical and vascular injury, surgical wound complications, and postsurgical medical complications. Certain patient characteristics, including Karnofsky performance status score (KPS) and pathology of the tumor, have been shown to have an impact on the risk of postsurgical complications. Advancement in preoperative and intraoperative adjunct technology such as cortical mapping and navigation has improved the surgeon's ability to safely and maximally resect the tumors. It is therefore important to understand the perioperative complications after craniotomy and tumor resection and factors affecting morbidity and mortality in order for surgeons to optimally select and counsel patients who will benefit the most from surgical resection. This chapter will focus on the complications associated with craniotomy for intrinsic glioma and ways of avoiding these events.
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Affiliation(s)
- Christina Jackson
- Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD, USA
| | - Manfred Westphal
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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88
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Mohile NA. How I treat glioblastoma in older patients. J Geriatr Oncol 2015; 7:1-6. [PMID: 26725536 DOI: 10.1016/j.jgo.2015.12.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2015] [Revised: 11/02/2015] [Accepted: 12/04/2015] [Indexed: 11/26/2022]
Abstract
Glioblastoma, a WHO grade IV astrocytoma, is the most common primary malignant brain tumor in adults. It is characterized by molecular heterogeneity and aggressive behavior. Glioblastoma is almost always incurable and most older patients survive less than 6 months. Supportive care with steroids and anti-epileptic drugs is critical to improving and maintain quality of life. Young age, good performance status and methylation of the methyl guanyl methyl transferase promoter are important positive prognostic factors. Several recent clinical trials suggest that there is a subset of the elderly with prolonged survival that is comparable to younger patients. Treatment of glioblastoma in older patients includes maximal safe resection followed by either radiation, chemotherapy or combined modality therapy. Recent advances suggest that some patients can avoid radiation entirely and be treated with chemotherapy alone. Decisions about therapy are individual and based on a patient's performance status, family support and molecular features. Future work needs to better determine the role for comprehensive geriatric assessments in this patient population to better identify patients who may most benefit from aggressive therapies.
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Affiliation(s)
- Nimish A Mohile
- Department of Neurology, University of Rochester Medical Center, 601 Elmwood Avenue, Box 704, Rochester, NY 14642, USA.
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89
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De la Garza-Ramos R, Kerezoudis P, Tamargo RJ, Brem H, Huang J, Bydon M. Surgical complications following malignant brain tumor surgery: An analysis of 2002-2011 data. Clin Neurol Neurosurg 2015; 140:6-10. [PMID: 26615463 DOI: 10.1016/j.clineuro.2015.11.005] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Revised: 11/08/2015] [Accepted: 11/09/2015] [Indexed: 10/22/2022]
Abstract
OBJECTIVES To estimate the incidence of surgical complications and associated in-hospital morbidity and mortality following surgery for malignant brain tumors. PATIENTS AND METHODS The Nationwide Inpatient Sample (NIS) database was queried from 2002 to 2011. All adult patients who underwent elective brain surgery for a malignant brain tumor were included. Surgical complications included wrong side surgery, retention of a foreign object, iatrogenic stroke, meningitis, hemorrhage/hematoma complicating a procedure, and neurological complications. A regression model was conducted to estimate the odds ratios (OR) with their 95% confidence intervals (95% CI) of in-hospital mortality for each surgical complication. RESULTS A total of 16,530 admissions were analyzed, with 601 (36.2 events per 1000 cases) surgical complications occurring in 567 patients. Over the examined 10-year period, the overall incidence of surgical complications did not change (P=0.061) except for iatrogenic strokes, which increased in incidence from 14.1 to 19.8 events per 1000 between 2002 and 2011 (P=0.023). Patients who developed a surgical complication had significantly longer lengths of stay, total hospital costs, and higher rates of other complications. Patients who experienced an iatrogenic stroke had a significantly increased risk of mortality (OR 9.6; 95% 6.3-14.8) and so were patients with a hemorrhage/hematoma (OR 3.3; 95% CI 1.6-6.6). CONCLUSION In this study of an administrative database, patients undergoing surgery for a malignant brain tumor who suffered from a surgical complication had significantly longer lengths of stay, total hospital charges, and complication rates. Having a surgical complication was also an independent risk factor for in-hospital mortality. Nonetheless, it is unclear whether all surgical complications were clinically relevant, and further research is encouraged.
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Affiliation(s)
| | | | - Rafael J Tamargo
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Henry Brem
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Judy Huang
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mohamad Bydon
- Department of Neurosurgery, Mayo Clinic, Rochester, MN, USA.
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90
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Babu R, Komisarow JM, Agarwal VJ, Rahimpour S, Iyer A, Britt D, Karikari IO, Grossi PM, Thomas S, Friedman AH, Adamson C. Glioblastoma in the elderly: the effect of aggressive and modern therapies on survival. J Neurosurg 2015; 124:998-1007. [PMID: 26452121 DOI: 10.3171/2015.4.jns142200] [Citation(s) in RCA: 95] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The prognosis of elderly patients with glioblastoma (GBM) is universally poor. Currently, few studies have examined postoperative outcomes and the effects of various modern therapies such as bevacizumab on survival in this patient population. In this study, the authors evaluated the effects of various factors on overall survival in a cohort of elderly patients with newly diagnosed GBM. METHODS A retrospective review was performed of elderly patients (≥ 65 years old) with newly diagnosed GBM treated between 2004 and 2010. Various characteristics were evaluated in univariate and multivariate stepwise models to examine their effects on complication risk and overall survival. RESULTS A total of 120 patients were included in the study. The median age was 71 years, and sex was distributed evenly. Patients had a median Karnofsky Performance Scale (KPS) score of 80 and a median of 2 neurological symptoms on presentation. The majority (53.3%) of the patients did not have any comorbidities. Tumors most frequently (43.3%) involved the temporal lobe, followed by the parietal (35.8%), frontal (32.5%), and occipital (15.8%) regions. The majority (57.5%) of the tumors involved eloquent structures. The median tumor size was 4.3 cm. Every patient underwent resection, and 63.3% underwent gross-total resection (GTR). The vast majority (97.3%) of the patients received the postoperative standard of care consisting of radiotherapy with concurrent temozolomide. The majority (59.3%) of patients received additional agents, most commonly consisting of bevacizumab (38.9%). The median survival for all patients was 12.0 months; 26.7% of patients experienced long-term (≥ 2-year) survival. The extent of resection was seen to significantly affect overall survival; patients who underwent GTR had a median survival of 14.1 months, whereas those who underwent subtotal resection had a survival of 9.6 months (p = 0.038). Examination of chemotherapeutic effects revealed that the use of bevacizumab compared with no bevacizumab (20.1 vs 7.9 months, respectively; p < 0.0001) and irinotecan compared with no irinotecan (18.0 vs 9.7 months, respectively; p = 0.027) significantly improved survival. Multivariate stepwise analysis revealed that older age (hazard ratio [HR] 1.06 [95% CI1.02-1.10]; p = 0.0077), a higher KPS score (HR 0.97 [95% CI 0.95-0.99]; p = 0.0082), and the use of bevacizumab (HR 0.51 [95% CI 0.31-0.83]; p = 0.0067) to be significantly associated with survival. CONCLUSION This study has demonstrated that GTR confers a modest survival benefit on elderly patients with GBM, suggesting that safe maximal resection is warranted. In addition, bevacizumab significantly increased the overall survival of these elderly patients with GBM; older age and preoperative KPS score also were significant prognostic factors. Although elderly patients with GBM have a poor prognosis, they may experience enhanced survival after the administration of the standard of care and the use of additional chemotherapeutics such as bevacizumab.
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Affiliation(s)
- Ranjith Babu
- Division of Neurosurgery, Department of Surgery, and
| | | | | | | | - Akshita Iyer
- Division of Neurosurgery, Department of Surgery, and
| | - Dylan Britt
- Division of Neurosurgery, Department of Surgery, and
| | | | | | - Steven Thomas
- Department of Biostatistics and Bioinformatics, DUMC, Duke University School of Medicine, Durham, North Carolina
| | | | - Cory Adamson
- Division of Neurosurgery, Department of Surgery, and.,Neurosurgery, Atlanta VA Medical Center, Decatur; and.,Department of Neurosurgery, Emory University, Atlanta, Georgia
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91
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The Safety of Surgery in Elderly Patients with Primary and Recurrent Glioblastoma. World Neurosurg 2015; 84:913-9. [DOI: 10.1016/j.wneu.2015.05.072] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2015] [Revised: 05/18/2015] [Accepted: 05/19/2015] [Indexed: 11/24/2022]
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Esteves S, Alves M, Castel-Branco M, Stummer W. A pilot cost-effectiveness analysis of treatments in newly diagnosed high-grade gliomas: the example of 5-aminolevulinic Acid compared with white-light surgery. Neurosurgery 2015; 76:552-62; discussion 562. [PMID: 25714513 PMCID: PMC4410964 DOI: 10.1227/neu.0000000000000673] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND High-grade gliomas are aggressive, incurable tumors characterized by extensive diffuse invasion of the normal brain parenchyma. Novel therapies at best prolong survival; their costs are formidable and benefit is marginal. Economic restrictions thus require knowledge of the cost-effectiveness of treatments. Here, we show the cost-effectiveness of enhanced resections in malignant glioma surgery using a well-characterized tool for intraoperative tumor visualization, 5-aminolevulinic acid (5-ALA). OBJECTIVE To evaluate the cost-effectiveness of 5-ALA fluorescence-guided neurosurgery compared with white-light surgery in adult patients with newly diagnosed high-grade glioma, adopting the perspective of the Portuguese National Health Service. METHODS We used a Markov model (cohort simulation). Transition probabilities were estimated with the use of data from 1 randomized clinical trial and 1 noninterventional prospective study. Utility values and resource use were obtained from published literature and expert opinion. Unit costs were taken from official Portuguese reimbursement lists (2012 values). The health outcomes considered were quality-adjusted life-years, life-years, and progression-free life-years. Extensive 1-way and probabilistic sensitivity analyses were performed. RESULTS The incremental cost-effectiveness ratios are below &OV0556;10 000 in all evaluated outcomes, being around &OV0556;9100 per quality-adjusted life-year gained, &OV0556;6700 per life-year gained, and &OV0556;8800 per progression-free life-year gained. The probability of 5-ALA fluorescence-guided surgery cost-effectiveness at a threshold of &OV0556;20000 is 96.0% for quality-adjusted life-year, 99.6% for life-year, and 98.8% for progression-free life-year. CONCLUSION 5-ALA fluorescence-guided surgery appears to be cost-effective in newly diagnosed high-grade gliomas compared with white-light surgery. This example demonstrates cost-effectiveness analyses for malignant glioma surgery to be feasible on the basis of existing data.
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Affiliation(s)
- Susana Esteves
- *Clinical Research Unit, Instituto Português de Oncologia de Lisboa, Lisboa, Portugal; ‡Epidemiology and Statistics Unit, Research Center of Centro Hospitalar de Lisboa Central, Hospital Dona Estefânia, Lisboa, Portugal; §Microbiology Department, Escola Superior de Hotelaria e Turismo do Estoril, Estoril, Portugal; ¶Department of Neurosurgery, University of Münster, Münster, Germany
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94
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Wangaryattawanich P, Hatami M, Wang J, Thomas G, Flanders A, Kirby J, Wintermark M, Huang ES, Bakhtiari AS, Luedi MM, Hashmi SS, Rubin DL, Chen JY, Hwang SN, Freymann J, Holder CA, Zinn PO, Colen RR. Multicenter imaging outcomes study of The Cancer Genome Atlas glioblastoma patient cohort: imaging predictors of overall and progression-free survival. Neuro Oncol 2015. [PMID: 26203066 DOI: 10.1093/neuonc/nov117] [Citation(s) in RCA: 68] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Despite an aggressive therapeutic approach, the prognosis for most patients with glioblastoma (GBM) remains poor. The aim of this study was to determine the significance of preoperative MRI variables, both quantitative and qualitative, with regard to overall and progression-free survival in GBM. METHODS We retrospectively identified 94 untreated GBM patients from the Cancer Imaging Archive who had pretreatment MRI and corresponding patient outcomes and clinical information in The Cancer Genome Atlas. Qualitative imaging assessments were based on the Visually Accessible Rembrandt Images feature-set criteria. Volumetric parameters were obtained of the specific tumor components: contrast enhancement, necrosis, and edema/invasion. Cox regression was used to assess prognostic and survival significance of each image. RESULTS Univariable Cox regression analysis demonstrated 10 imaging features and 2 clinical variables to be significantly associated with overall survival. Multivariable Cox regression analysis showed that tumor-enhancing volume (P = .03) and eloquent brain involvement (P < .001) were independent prognostic indicators of overall survival. In the multivariable Cox analysis of the volumetric features, the edema/invasion volume of more than 85 000 mm(3) and the proportion of enhancing tumor were significantly correlated with higher mortality (Ps = .004 and .003, respectively). CONCLUSIONS Preoperative MRI parameters have a significant prognostic role in predicting survival in patients with GBM, thus making them useful for patient stratification and endpoint biomarkers in clinical trials.
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Affiliation(s)
- Pattana Wangaryattawanich
- Departments of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.W., M.H., J.W., G.T., A.S.B., M.M.L., R.R.C.); Department of Radiology, Neuroradiology Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (P.W.); Department of Radiology, Division of Neuroradiology/ENT, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania (A.F.); Bioinformatics Analyst III, Clinical Monitoring Research Program (CMRP), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, Maryland (J.K.); Department of Radiology, Neuroradiology Division, Stanford University, Stanford, California (M.W.); Cancer Research, Sage Bionetworks, Seattle, Washington (E.S.H.); Department of Diagnostic and Interventional Imaging, University of Texas Health Sciences Center, Houston, Texas (S.S.H.); Department of Radiology, Stanford University, Stanford, California (D.L.R.); Department of Radiology, University of California San Diego, San Diego, California (J.Y.C.); Neuroradiology Section, St Jude Children's Research Hospital, Memphis, Tennessee (S.N.H.); Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., Rockville, Maryland (J.F.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia (C.A.H.); Department of Neurosurgery, Baylor College of Medicine, Houston, Texas (P.O.Z.); Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.O.Z.); Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas (R.R.C.)
| | - Masumeh Hatami
- Departments of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.W., M.H., J.W., G.T., A.S.B., M.M.L., R.R.C.); Department of Radiology, Neuroradiology Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (P.W.); Department of Radiology, Division of Neuroradiology/ENT, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania (A.F.); Bioinformatics Analyst III, Clinical Monitoring Research Program (CMRP), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, Maryland (J.K.); Department of Radiology, Neuroradiology Division, Stanford University, Stanford, California (M.W.); Cancer Research, Sage Bionetworks, Seattle, Washington (E.S.H.); Department of Diagnostic and Interventional Imaging, University of Texas Health Sciences Center, Houston, Texas (S.S.H.); Department of Radiology, Stanford University, Stanford, California (D.L.R.); Department of Radiology, University of California San Diego, San Diego, California (J.Y.C.); Neuroradiology Section, St Jude Children's Research Hospital, Memphis, Tennessee (S.N.H.); Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., Rockville, Maryland (J.F.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia (C.A.H.); Department of Neurosurgery, Baylor College of Medicine, Houston, Texas (P.O.Z.); Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.O.Z.); Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas (R.R.C.)
| | - Jixin Wang
- Departments of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.W., M.H., J.W., G.T., A.S.B., M.M.L., R.R.C.); Department of Radiology, Neuroradiology Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (P.W.); Department of Radiology, Division of Neuroradiology/ENT, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania (A.F.); Bioinformatics Analyst III, Clinical Monitoring Research Program (CMRP), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, Maryland (J.K.); Department of Radiology, Neuroradiology Division, Stanford University, Stanford, California (M.W.); Cancer Research, Sage Bionetworks, Seattle, Washington (E.S.H.); Department of Diagnostic and Interventional Imaging, University of Texas Health Sciences Center, Houston, Texas (S.S.H.); Department of Radiology, Stanford University, Stanford, California (D.L.R.); Department of Radiology, University of California San Diego, San Diego, California (J.Y.C.); Neuroradiology Section, St Jude Children's Research Hospital, Memphis, Tennessee (S.N.H.); Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., Rockville, Maryland (J.F.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia (C.A.H.); Department of Neurosurgery, Baylor College of Medicine, Houston, Texas (P.O.Z.); Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.O.Z.); Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas (R.R.C.)
| | - Ginu Thomas
- Departments of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.W., M.H., J.W., G.T., A.S.B., M.M.L., R.R.C.); Department of Radiology, Neuroradiology Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (P.W.); Department of Radiology, Division of Neuroradiology/ENT, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania (A.F.); Bioinformatics Analyst III, Clinical Monitoring Research Program (CMRP), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, Maryland (J.K.); Department of Radiology, Neuroradiology Division, Stanford University, Stanford, California (M.W.); Cancer Research, Sage Bionetworks, Seattle, Washington (E.S.H.); Department of Diagnostic and Interventional Imaging, University of Texas Health Sciences Center, Houston, Texas (S.S.H.); Department of Radiology, Stanford University, Stanford, California (D.L.R.); Department of Radiology, University of California San Diego, San Diego, California (J.Y.C.); Neuroradiology Section, St Jude Children's Research Hospital, Memphis, Tennessee (S.N.H.); Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., Rockville, Maryland (J.F.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia (C.A.H.); Department of Neurosurgery, Baylor College of Medicine, Houston, Texas (P.O.Z.); Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.O.Z.); Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas (R.R.C.)
| | - Adam Flanders
- Departments of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.W., M.H., J.W., G.T., A.S.B., M.M.L., R.R.C.); Department of Radiology, Neuroradiology Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (P.W.); Department of Radiology, Division of Neuroradiology/ENT, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania (A.F.); Bioinformatics Analyst III, Clinical Monitoring Research Program (CMRP), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, Maryland (J.K.); Department of Radiology, Neuroradiology Division, Stanford University, Stanford, California (M.W.); Cancer Research, Sage Bionetworks, Seattle, Washington (E.S.H.); Department of Diagnostic and Interventional Imaging, University of Texas Health Sciences Center, Houston, Texas (S.S.H.); Department of Radiology, Stanford University, Stanford, California (D.L.R.); Department of Radiology, University of California San Diego, San Diego, California (J.Y.C.); Neuroradiology Section, St Jude Children's Research Hospital, Memphis, Tennessee (S.N.H.); Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., Rockville, Maryland (J.F.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia (C.A.H.); Department of Neurosurgery, Baylor College of Medicine, Houston, Texas (P.O.Z.); Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.O.Z.); Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas (R.R.C.)
| | - Justin Kirby
- Departments of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.W., M.H., J.W., G.T., A.S.B., M.M.L., R.R.C.); Department of Radiology, Neuroradiology Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (P.W.); Department of Radiology, Division of Neuroradiology/ENT, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania (A.F.); Bioinformatics Analyst III, Clinical Monitoring Research Program (CMRP), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, Maryland (J.K.); Department of Radiology, Neuroradiology Division, Stanford University, Stanford, California (M.W.); Cancer Research, Sage Bionetworks, Seattle, Washington (E.S.H.); Department of Diagnostic and Interventional Imaging, University of Texas Health Sciences Center, Houston, Texas (S.S.H.); Department of Radiology, Stanford University, Stanford, California (D.L.R.); Department of Radiology, University of California San Diego, San Diego, California (J.Y.C.); Neuroradiology Section, St Jude Children's Research Hospital, Memphis, Tennessee (S.N.H.); Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., Rockville, Maryland (J.F.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia (C.A.H.); Department of Neurosurgery, Baylor College of Medicine, Houston, Texas (P.O.Z.); Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.O.Z.); Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas (R.R.C.)
| | - Max Wintermark
- Departments of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.W., M.H., J.W., G.T., A.S.B., M.M.L., R.R.C.); Department of Radiology, Neuroradiology Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (P.W.); Department of Radiology, Division of Neuroradiology/ENT, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania (A.F.); Bioinformatics Analyst III, Clinical Monitoring Research Program (CMRP), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, Maryland (J.K.); Department of Radiology, Neuroradiology Division, Stanford University, Stanford, California (M.W.); Cancer Research, Sage Bionetworks, Seattle, Washington (E.S.H.); Department of Diagnostic and Interventional Imaging, University of Texas Health Sciences Center, Houston, Texas (S.S.H.); Department of Radiology, Stanford University, Stanford, California (D.L.R.); Department of Radiology, University of California San Diego, San Diego, California (J.Y.C.); Neuroradiology Section, St Jude Children's Research Hospital, Memphis, Tennessee (S.N.H.); Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., Rockville, Maryland (J.F.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia (C.A.H.); Department of Neurosurgery, Baylor College of Medicine, Houston, Texas (P.O.Z.); Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.O.Z.); Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas (R.R.C.)
| | - Erich S Huang
- Departments of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.W., M.H., J.W., G.T., A.S.B., M.M.L., R.R.C.); Department of Radiology, Neuroradiology Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (P.W.); Department of Radiology, Division of Neuroradiology/ENT, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania (A.F.); Bioinformatics Analyst III, Clinical Monitoring Research Program (CMRP), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, Maryland (J.K.); Department of Radiology, Neuroradiology Division, Stanford University, Stanford, California (M.W.); Cancer Research, Sage Bionetworks, Seattle, Washington (E.S.H.); Department of Diagnostic and Interventional Imaging, University of Texas Health Sciences Center, Houston, Texas (S.S.H.); Department of Radiology, Stanford University, Stanford, California (D.L.R.); Department of Radiology, University of California San Diego, San Diego, California (J.Y.C.); Neuroradiology Section, St Jude Children's Research Hospital, Memphis, Tennessee (S.N.H.); Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., Rockville, Maryland (J.F.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia (C.A.H.); Department of Neurosurgery, Baylor College of Medicine, Houston, Texas (P.O.Z.); Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.O.Z.); Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas (R.R.C.)
| | - Ali Shojaee Bakhtiari
- Departments of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.W., M.H., J.W., G.T., A.S.B., M.M.L., R.R.C.); Department of Radiology, Neuroradiology Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (P.W.); Department of Radiology, Division of Neuroradiology/ENT, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania (A.F.); Bioinformatics Analyst III, Clinical Monitoring Research Program (CMRP), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, Maryland (J.K.); Department of Radiology, Neuroradiology Division, Stanford University, Stanford, California (M.W.); Cancer Research, Sage Bionetworks, Seattle, Washington (E.S.H.); Department of Diagnostic and Interventional Imaging, University of Texas Health Sciences Center, Houston, Texas (S.S.H.); Department of Radiology, Stanford University, Stanford, California (D.L.R.); Department of Radiology, University of California San Diego, San Diego, California (J.Y.C.); Neuroradiology Section, St Jude Children's Research Hospital, Memphis, Tennessee (S.N.H.); Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., Rockville, Maryland (J.F.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia (C.A.H.); Department of Neurosurgery, Baylor College of Medicine, Houston, Texas (P.O.Z.); Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.O.Z.); Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas (R.R.C.)
| | - Markus M Luedi
- Departments of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.W., M.H., J.W., G.T., A.S.B., M.M.L., R.R.C.); Department of Radiology, Neuroradiology Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (P.W.); Department of Radiology, Division of Neuroradiology/ENT, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania (A.F.); Bioinformatics Analyst III, Clinical Monitoring Research Program (CMRP), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, Maryland (J.K.); Department of Radiology, Neuroradiology Division, Stanford University, Stanford, California (M.W.); Cancer Research, Sage Bionetworks, Seattle, Washington (E.S.H.); Department of Diagnostic and Interventional Imaging, University of Texas Health Sciences Center, Houston, Texas (S.S.H.); Department of Radiology, Stanford University, Stanford, California (D.L.R.); Department of Radiology, University of California San Diego, San Diego, California (J.Y.C.); Neuroradiology Section, St Jude Children's Research Hospital, Memphis, Tennessee (S.N.H.); Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., Rockville, Maryland (J.F.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia (C.A.H.); Department of Neurosurgery, Baylor College of Medicine, Houston, Texas (P.O.Z.); Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.O.Z.); Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas (R.R.C.)
| | - Syed S Hashmi
- Departments of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.W., M.H., J.W., G.T., A.S.B., M.M.L., R.R.C.); Department of Radiology, Neuroradiology Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (P.W.); Department of Radiology, Division of Neuroradiology/ENT, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania (A.F.); Bioinformatics Analyst III, Clinical Monitoring Research Program (CMRP), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, Maryland (J.K.); Department of Radiology, Neuroradiology Division, Stanford University, Stanford, California (M.W.); Cancer Research, Sage Bionetworks, Seattle, Washington (E.S.H.); Department of Diagnostic and Interventional Imaging, University of Texas Health Sciences Center, Houston, Texas (S.S.H.); Department of Radiology, Stanford University, Stanford, California (D.L.R.); Department of Radiology, University of California San Diego, San Diego, California (J.Y.C.); Neuroradiology Section, St Jude Children's Research Hospital, Memphis, Tennessee (S.N.H.); Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., Rockville, Maryland (J.F.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia (C.A.H.); Department of Neurosurgery, Baylor College of Medicine, Houston, Texas (P.O.Z.); Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.O.Z.); Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas (R.R.C.)
| | - Daniel L Rubin
- Departments of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.W., M.H., J.W., G.T., A.S.B., M.M.L., R.R.C.); Department of Radiology, Neuroradiology Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (P.W.); Department of Radiology, Division of Neuroradiology/ENT, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania (A.F.); Bioinformatics Analyst III, Clinical Monitoring Research Program (CMRP), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, Maryland (J.K.); Department of Radiology, Neuroradiology Division, Stanford University, Stanford, California (M.W.); Cancer Research, Sage Bionetworks, Seattle, Washington (E.S.H.); Department of Diagnostic and Interventional Imaging, University of Texas Health Sciences Center, Houston, Texas (S.S.H.); Department of Radiology, Stanford University, Stanford, California (D.L.R.); Department of Radiology, University of California San Diego, San Diego, California (J.Y.C.); Neuroradiology Section, St Jude Children's Research Hospital, Memphis, Tennessee (S.N.H.); Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., Rockville, Maryland (J.F.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia (C.A.H.); Department of Neurosurgery, Baylor College of Medicine, Houston, Texas (P.O.Z.); Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.O.Z.); Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas (R.R.C.)
| | - James Y Chen
- Departments of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.W., M.H., J.W., G.T., A.S.B., M.M.L., R.R.C.); Department of Radiology, Neuroradiology Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (P.W.); Department of Radiology, Division of Neuroradiology/ENT, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania (A.F.); Bioinformatics Analyst III, Clinical Monitoring Research Program (CMRP), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, Maryland (J.K.); Department of Radiology, Neuroradiology Division, Stanford University, Stanford, California (M.W.); Cancer Research, Sage Bionetworks, Seattle, Washington (E.S.H.); Department of Diagnostic and Interventional Imaging, University of Texas Health Sciences Center, Houston, Texas (S.S.H.); Department of Radiology, Stanford University, Stanford, California (D.L.R.); Department of Radiology, University of California San Diego, San Diego, California (J.Y.C.); Neuroradiology Section, St Jude Children's Research Hospital, Memphis, Tennessee (S.N.H.); Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., Rockville, Maryland (J.F.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia (C.A.H.); Department of Neurosurgery, Baylor College of Medicine, Houston, Texas (P.O.Z.); Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.O.Z.); Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas (R.R.C.)
| | - Scott N Hwang
- Departments of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.W., M.H., J.W., G.T., A.S.B., M.M.L., R.R.C.); Department of Radiology, Neuroradiology Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (P.W.); Department of Radiology, Division of Neuroradiology/ENT, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania (A.F.); Bioinformatics Analyst III, Clinical Monitoring Research Program (CMRP), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, Maryland (J.K.); Department of Radiology, Neuroradiology Division, Stanford University, Stanford, California (M.W.); Cancer Research, Sage Bionetworks, Seattle, Washington (E.S.H.); Department of Diagnostic and Interventional Imaging, University of Texas Health Sciences Center, Houston, Texas (S.S.H.); Department of Radiology, Stanford University, Stanford, California (D.L.R.); Department of Radiology, University of California San Diego, San Diego, California (J.Y.C.); Neuroradiology Section, St Jude Children's Research Hospital, Memphis, Tennessee (S.N.H.); Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., Rockville, Maryland (J.F.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia (C.A.H.); Department of Neurosurgery, Baylor College of Medicine, Houston, Texas (P.O.Z.); Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.O.Z.); Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas (R.R.C.)
| | - John Freymann
- Departments of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.W., M.H., J.W., G.T., A.S.B., M.M.L., R.R.C.); Department of Radiology, Neuroradiology Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (P.W.); Department of Radiology, Division of Neuroradiology/ENT, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania (A.F.); Bioinformatics Analyst III, Clinical Monitoring Research Program (CMRP), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, Maryland (J.K.); Department of Radiology, Neuroradiology Division, Stanford University, Stanford, California (M.W.); Cancer Research, Sage Bionetworks, Seattle, Washington (E.S.H.); Department of Diagnostic and Interventional Imaging, University of Texas Health Sciences Center, Houston, Texas (S.S.H.); Department of Radiology, Stanford University, Stanford, California (D.L.R.); Department of Radiology, University of California San Diego, San Diego, California (J.Y.C.); Neuroradiology Section, St Jude Children's Research Hospital, Memphis, Tennessee (S.N.H.); Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., Rockville, Maryland (J.F.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia (C.A.H.); Department of Neurosurgery, Baylor College of Medicine, Houston, Texas (P.O.Z.); Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.O.Z.); Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas (R.R.C.)
| | - Chad A Holder
- Departments of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.W., M.H., J.W., G.T., A.S.B., M.M.L., R.R.C.); Department of Radiology, Neuroradiology Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (P.W.); Department of Radiology, Division of Neuroradiology/ENT, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania (A.F.); Bioinformatics Analyst III, Clinical Monitoring Research Program (CMRP), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, Maryland (J.K.); Department of Radiology, Neuroradiology Division, Stanford University, Stanford, California (M.W.); Cancer Research, Sage Bionetworks, Seattle, Washington (E.S.H.); Department of Diagnostic and Interventional Imaging, University of Texas Health Sciences Center, Houston, Texas (S.S.H.); Department of Radiology, Stanford University, Stanford, California (D.L.R.); Department of Radiology, University of California San Diego, San Diego, California (J.Y.C.); Neuroradiology Section, St Jude Children's Research Hospital, Memphis, Tennessee (S.N.H.); Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., Rockville, Maryland (J.F.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia (C.A.H.); Department of Neurosurgery, Baylor College of Medicine, Houston, Texas (P.O.Z.); Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.O.Z.); Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas (R.R.C.)
| | - Pascal O Zinn
- Departments of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.W., M.H., J.W., G.T., A.S.B., M.M.L., R.R.C.); Department of Radiology, Neuroradiology Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (P.W.); Department of Radiology, Division of Neuroradiology/ENT, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania (A.F.); Bioinformatics Analyst III, Clinical Monitoring Research Program (CMRP), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, Maryland (J.K.); Department of Radiology, Neuroradiology Division, Stanford University, Stanford, California (M.W.); Cancer Research, Sage Bionetworks, Seattle, Washington (E.S.H.); Department of Diagnostic and Interventional Imaging, University of Texas Health Sciences Center, Houston, Texas (S.S.H.); Department of Radiology, Stanford University, Stanford, California (D.L.R.); Department of Radiology, University of California San Diego, San Diego, California (J.Y.C.); Neuroradiology Section, St Jude Children's Research Hospital, Memphis, Tennessee (S.N.H.); Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., Rockville, Maryland (J.F.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia (C.A.H.); Department of Neurosurgery, Baylor College of Medicine, Houston, Texas (P.O.Z.); Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.O.Z.); Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas (R.R.C.)
| | - Rivka R Colen
- Departments of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.W., M.H., J.W., G.T., A.S.B., M.M.L., R.R.C.); Department of Radiology, Neuroradiology Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (P.W.); Department of Radiology, Division of Neuroradiology/ENT, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania (A.F.); Bioinformatics Analyst III, Clinical Monitoring Research Program (CMRP), Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, Maryland (J.K.); Department of Radiology, Neuroradiology Division, Stanford University, Stanford, California (M.W.); Cancer Research, Sage Bionetworks, Seattle, Washington (E.S.H.); Department of Diagnostic and Interventional Imaging, University of Texas Health Sciences Center, Houston, Texas (S.S.H.); Department of Radiology, Stanford University, Stanford, California (D.L.R.); Department of Radiology, University of California San Diego, San Diego, California (J.Y.C.); Neuroradiology Section, St Jude Children's Research Hospital, Memphis, Tennessee (S.N.H.); Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., Rockville, Maryland (J.F.); Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia (C.A.H.); Department of Neurosurgery, Baylor College of Medicine, Houston, Texas (P.O.Z.); Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas (P.O.Z.); Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas (R.R.C.)
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Delivery of local therapeutics to the brain: working toward advancing treatment for malignant gliomas. Ther Deliv 2015; 6:353-69. [PMID: 25853310 DOI: 10.4155/tde.14.114] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Malignant gliomas, including glioblastoma and anaplastic astrocytomas, are characterized by their propensity to invade surrounding brain parenchyma, making curative resection difficult. These tumors typically recur within two centimeters of the resection cavity even after gross total removal. As a result, there has been an emphasis on developing therapeutics aimed at achieving local disease control. In this review, we will summarize the current developments in the delivery of local therapeutics, namely direct injection, convection-enhanced delivery and implantation of drug-loaded polymers, as well as the application of these therapeutics in future methods including microchip drug delivery and local gene therapy.
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Amidei C, Kushner DS. Clinical implications of motor deficits related to brain tumors †. Neurooncol Pract 2015; 2:179-184. [PMID: 31386054 DOI: 10.1093/nop/npv017] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2015] [Indexed: 11/14/2022] Open
Abstract
Motor deficits, including unilateral or bilateral weakness, plegia, ataxia, spasticity, and loss of complex movement execution, can occur during any brain tumor illness. Tumor location, treatment effects, and medications contribute to these deficits. Motor dysfunction has been associated with significant deterioration in health-related quality of life in patients with primary and metastatic brain tumors. Significant decrease in median overall survival has been reported in patients with motor deficits, although the reasons for this are unclear. Motor deficits, particularly gait impairment, contribute to significant symptom burden at end of life, and are the most common reasons for initiation of hospice care. Interventions must focus on prevention and amelioration of motor dysfunction throughout the disease course in order to preserve quality of life. The impact of exercise in prolonging survival and improving quality of life requires further study.
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Affiliation(s)
- Christina Amidei
- Department of Neurology and Rehabilitation, University of Illinois, 912 S. Wood Street, MC 796, Chicago, Illinois 60612 (C.A.); Department of Physical Medicine and Rehabilitation, University of Miami Miller School of Medicine, 1600 NW 10th Avenue, Miami, Florida 33136 (D.K.)
| | - David S Kushner
- Department of Neurology and Rehabilitation, University of Illinois, 912 S. Wood Street, MC 796, Chicago, Illinois 60612 (C.A.); Department of Physical Medicine and Rehabilitation, University of Miami Miller School of Medicine, 1600 NW 10th Avenue, Miami, Florida 33136 (D.K.)
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97
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Abstract
The incidence of glioblastoma (GBM) has been increasing over the past several decades with majority of this increase occurring in patients older than 70 years. In spite of the growing body of evidence in this area, it is still unclear as to the optimal management of elderly patients with GBM. The elderly are a heterogeneous population with a range of comorbid conditions, and functional, cognitive, and physiological changes, and ideally treatment decisions should be made in the context of a comprehensive geriatric assessment. Patients with a poor performance status or assessed as "frail" might be considered for less aggressive therapy such as hypofractionated radiotherapy or single-agent temozolomide, whereas those with a good functional status may still benefit from maximum resection followed by combined radiation and chemotherapy. Recent randomized trials suggest molecular markers such as O(6)-methylguanine-DNA-methyltransferase promoter methylation testing could help guide these decisions, particularly when considering monotherapy with temozolomide vs radiotherapy. Ongoing studies seek to clarify the role of concurrent treatment in this population. Clinical judgment and discussion with patients and families, weighing all the options, are necessary in each case. Ultimately, patients and the neuro-oncology community should be encouraged to participate in clinical trials focused specifically on caring for the elderly patient with GBM.
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Affiliation(s)
- Michelle Ferguson
- Division of Radiation Oncology, Department of Oncology, Western University, London, Ontario, Canada; London Regional Cancer Program, London Health Sciences Centre, London, Ontario, Canada
| | - George Rodrigues
- Division of Radiation Oncology, Department of Oncology, Western University, London, Ontario, Canada; London Regional Cancer Program, London Health Sciences Centre, London, Ontario, Canada.
| | - Jeffrey Cao
- Division of Radiation Oncology, Department of Oncology, Western University, London, Ontario, Canada; London Regional Cancer Program, London Health Sciences Centre, London, Ontario, Canada
| | - Glenn Bauman
- Division of Radiation Oncology, Department of Oncology, Western University, London, Ontario, Canada; London Regional Cancer Program, London Health Sciences Centre, London, Ontario, Canada
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98
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Tieu MT, Lovblom LE, McNamara MG, Mason W, Laperriere N, Millar BA, Ménard C, Kiehl TR, Perkins BA, Chung C. Impact of glycemia on survival of glioblastoma patients treated with radiation and temozolomide. J Neurooncol 2015; 124:119-26. [PMID: 26015297 PMCID: PMC4498235 DOI: 10.1007/s11060-015-1815-0] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2014] [Accepted: 05/21/2015] [Indexed: 01/01/2023]
Abstract
Evidence suggests hyperglycemia is associated with worse outcomes in glioblastoma (GB). This study aims to confirm the association between glycemia during radiotherapy (RT) and temozolomide (TMZ) treatment and overall survival (OS) in patients with newly diagnosed GB. This retrospective study included GB patients treated with RT and TMZ from 2004 to 2011, randomly divided into independent derivation and validation datasets. Time-weighted mean (TWM) glucose and dexamethasone dose were collected from start of RT to 4 weeks after RT. Univariate (UVA) and multivariable (MVA) analyses investigated the association of TWM glucose and other prognostic factors with overall survival (OS). In total, 393 patients with median follow-up of 14 months were analyzed. In the derivation set (n = 196) the median OS was 15 months and median TWM glucose was 6.3 mmol/L. For patients with a TWM glucose ≤6.3 and >6.3 mmol/L, median OS was 16 and 13 months, respectively (p = 0.03). On UVA, TWM glucose, TWM dexamethasone, age, extent of surgery, and performance status were associated with OS. On MVA, TWM glucose remained an independent predictor of OS (p = 0.03) along with TWM dexamethasone, age, and surgery. The validation set (n = 197), with similar baseline characteristics, confirmed that TWM glucose ≤6.3 mmol/L was independently associated with longer OS (p = 0.005). This study demonstrates and validates that glycemia is an independent predictor for survival in GB patients treated with RT and TMZ.
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Affiliation(s)
- Minh Thi Tieu
- Department of Radiation Oncology, University of Toronto/ University Health Network-Princess Margaret Cancer Centre, 610 University Ave, Toronto, ON, M5T 2M9, Canada
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99
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Abdullah KG, Ramayya A, Thawani JP, Macyszyn L, Martinez-Lage M, O’Rourke DM, Brem S. Factors associated with increased survival after surgical resection of glioblastoma in octogenarians. PLoS One 2015; 10:e0127202. [PMID: 25978638 PMCID: PMC4433248 DOI: 10.1371/journal.pone.0127202] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2015] [Accepted: 04/13/2015] [Indexed: 11/18/2022] Open
Abstract
Elderly patients with glioblastoma represent a clinical challenge for neurosurgeons and oncologists. The data available on outcomes of patients greater than 80 undergoing resection is limited. In this study, factors linked to increased survival in patients over the age of 80 were analyzed. A retrospective chart review of all patients over the age of 80 with a new diagnosis of glioblastoma and who underwent surgical resection with intent for maximal resection were examined. Patients who had only stereotactic biopsies were excluded. Immunohistochemical expression of oncogenic drivers (p53, EGFR, IDH-1) and a marker of cell proliferation (Ki-67 index) performed upon routine neuropathological examination were recorded. Stepwise logistic regression and Kaplan Meier survival curves were plotted to determine correlations to overall survival. Fifty-eight patients fit inclusion criteria with a mean age of 83 (range 80–93 years). The overall median survival was 4.2 months. There was a statistically significant correlation between Karnofsky Performance Status (KPS) and overall survival (P < 0.05). There was a significantly longer survival among patients undergoing either radiation alone or radiation and chemotherapy compared to those who underwent no postoperative adjuvant therapy (p < 0.05). There was also an association between overall survival and lack of p53 expression (p < 0.001) and lack of EGFR expression (p <0.05). In this very elderly population, overall survival advantage was conferred to those with higher preoperative KPS, postoperative adjuvant therapy, and lack of protein expression of EGFR and p53. These findings may be useful in clinical decision analysis for management of patients with glioblastoma who are octogenarians, and also validate the critical role of EGFR and p53 expression in oncogenesis, particularly with advancing age.
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Affiliation(s)
- Kalil G. Abdullah
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Ashwin Ramayya
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Jayesh P. Thawani
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Lukasz Macyszyn
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Maria Martinez-Lage
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Donald M. O’Rourke
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Steven Brem
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- * E-mail:
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100
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Li H, Ren X, Zhang J, Lin S. Mediobasal and lateral temporal gliomas exhibit different growth patterns, surgical outcomes and prognoses. Clin Neurol Neurosurg 2015; 133:90-5. [PMID: 25867451 DOI: 10.1016/j.clineuro.2015.03.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2014] [Revised: 03/20/2015] [Accepted: 03/22/2015] [Indexed: 11/19/2022]
Abstract
OBJECTIVE This study was aimed at investigating the differences between mediobasal temporal gliomas and lateral temporal gliomas. METHODS One hundred and forty-seven patients with temporal gliomas who were admitted in the Department of Supratentorial Neoplasms at Beijing Tiantan Hospital between 2008 and 2011 were included in this prospective study. Temporal gliomas involving the limbic and paralimbic systems were classified as mediobasal temporal gliomas (MTGs), while those without the involvement of the limbic and paralimbic systems were defined as lateral temporal gliomas (LTGs). The clinical, radiological, histopathological, and molecular features were compared between MTG and LTG patients. RESULTS Compared to LTGs, MTGs were significantly larger in size (P = 0.013) and displayed a more aggressive invasion of surrounding tissues (P < 0.001). Marginally significant differences of the IDH1/2 mutation rate were observed between MTG and LTG patients (P = 0.058). The postoperative disability rate of MTGs was significantly higher than that of LTGs (P = 0.031). Resection degree according to tumor grade between LTG and MTG showed no statistical significance, while it mixed all grades showed marginally significant difference (P = 0.060). Regardless of tumor grade, the PFS and OS of MTG was shorter than that of LTG, except for OS in grade II (P = 0.189). CONCLUSIONS Temporal gliomas can be classified into two types, MTG and LTG which have different growth patterns, surgical outcomes and prognoses. Due to the significantly worse prognosis of patients with MTGs, this classification is useful for the clinical prognostic prediction of temporal gliomas.
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Affiliation(s)
- Hailong Li
- Neurosurgery, Navy General Hospital, Beijing, China
| | - Xiaohui Ren
- Neurosurgery, Beijing Tiantan Hospital Affiliated to Capital Medical University, Beijing, China
| | | | - Song Lin
- Neurosurgery, Beijing Tiantan Hospital Affiliated to Capital Medical University, Beijing, China.
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