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Ampil F, Sin A, Toms J, Lee S, Porter C, O'Glee K. Skull base oligometastatic tumors from systemic cancer: Long-term follow-up after gamma knife radiosurgery. Oral Oncol 2024; 149:106661. [PMID: 38134701 DOI: 10.1016/j.oraloncology.2023.106661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 12/09/2023] [Indexed: 12/24/2023]
Affiliation(s)
- Federico Ampil
- Department of Radiology, Louisiana State University Health Sciences Center, Shreveport, LA, USA.
| | - Anthony Sin
- Department of Neurosurgery, Louisiana State University Health Sciences Center, Shreveport, LA, USA
| | - Jamie Toms
- Department of Neurosurgery, Louisiana State University Health Sciences Center, Shreveport, LA, USA
| | - Sungho Lee
- Department of Neurosurgery, Louisiana State University Health Sciences Center, Shreveport, LA, USA
| | - Carrie Porter
- Section of Tumor Registry, Louisiana State University Health Sciences Center, Shreveport, LA, USA
| | - Kristie O'Glee
- Department of Neurosurgery, Louisiana State University Health Sciences Center, Shreveport, LA, USA
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Pemberton HG, Wu J, Kommers I, Müller DMJ, Hu Y, Goodkin O, Vos SB, Bisdas S, Robe PA, Ardon H, Bello L, Rossi M, Sciortino T, Nibali MC, Berger MS, Hervey-Jumper SL, Bouwknegt W, Van den Brink WA, Furtner J, Han SJ, Idema AJS, Kiesel B, Widhalm G, Kloet A, Wagemakers M, Zwinderman AH, Krieg SM, Mandonnet E, Prados F, de Witt Hamer P, Barkhof F, Eijgelaar RS. Multi-class glioma segmentation on real-world data with missing MRI sequences: comparison of three deep learning algorithms. Sci Rep 2023; 13:18911. [PMID: 37919354 PMCID: PMC10622563 DOI: 10.1038/s41598-023-44794-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 10/12/2023] [Indexed: 11/04/2023] Open
Abstract
This study tests the generalisability of three Brain Tumor Segmentation (BraTS) challenge models using a multi-center dataset of varying image quality and incomplete MRI datasets. In this retrospective study, DeepMedic, no-new-Unet (nn-Unet), and NVIDIA-net (nv-Net) were trained and tested using manual segmentations from preoperative MRI of glioblastoma (GBM) and low-grade gliomas (LGG) from the BraTS 2021 dataset (1251 in total), in addition to 275 GBM and 205 LGG acquired clinically across 12 hospitals worldwide. Data was split into 80% training, 5% validation, and 15% internal test data. An additional external test-set of 158 GBM and 69 LGG was used to assess generalisability to other hospitals' data. All models' median Dice similarity coefficient (DSC) for both test sets were within, or higher than, previously reported human inter-rater agreement (range of 0.74-0.85). For both test sets, nn-Unet achieved the highest DSC (internal = 0.86, external = 0.93) and the lowest Hausdorff distances (10.07, 13.87 mm, respectively) for all tumor classes (p < 0.001). By applying Sparsified training, missing MRI sequences did not statistically affect the performance. nn-Unet achieves accurate segmentations in clinical settings even in the presence of incomplete MRI datasets. This facilitates future clinical adoption of automated glioma segmentation, which could help inform treatment planning and glioma monitoring.
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Affiliation(s)
- Hugh G Pemberton
- Centre for Medical Image Computing (CMIC), University College London, London, UK
- Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Jiaming Wu
- Centre for Medical Image Computing (CMIC), University College London, London, UK
| | - Ivar Kommers
- Neurosurgical Center Amsterdam, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Domenique M J Müller
- Neurosurgical Center Amsterdam, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Yipeng Hu
- Centre for Medical Image Computing (CMIC), University College London, London, UK
| | - Olivia Goodkin
- Centre for Medical Image Computing (CMIC), University College London, London, UK
- Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sjoerd B Vos
- Centre for Medical Image Computing (CMIC), University College London, London, UK
- Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sotirios Bisdas
- Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Pierre A Robe
- Department of Neurology & Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Hilko Ardon
- Department of Neurosurgery, St. Elisabeth Hospital, Tilburg, The Netherlands
| | - Lorenzo Bello
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy
| | - Marco Rossi
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy
| | - Tommaso Sciortino
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy
| | - Marco Conti Nibali
- Neurosurgical Oncology Unit, Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Shawn L Hervey-Jumper
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
| | - Wim Bouwknegt
- Department of Neurosurgery, Medical Center Slotervaart, Amsterdam, The Netherlands
| | | | - Julia Furtner
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Vienna, Austria
| | - Seunggu J Han
- Department of Neurological Surgery, Stanford University, Stanford, USA
| | - Albert J S Idema
- Department of Neurosurgery, Northwest Clinics, Alkmaar, The Netherlands
| | - Barbara Kiesel
- Department of Neurosurgery, Medical University Vienna, Vienna, Austria
| | - Georg Widhalm
- Department of Neurosurgery, Medical University Vienna, Vienna, Austria
| | - Alfred Kloet
- Department of Neurosurgery, Medical Center Haaglanden, The Hague, The Netherlands
| | - Michiel Wagemakers
- Department of Neurosurgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Aeilko H Zwinderman
- Department of Clinical Epidemiology and Biostatistics, Academic Medical Center, Amsterdam, The Netherlands
| | - Sandro M Krieg
- TUM-Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Department of Neurosurgery, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | | | - Ferran Prados
- Centre for Medical Image Computing (CMIC), University College London, London, UK
- Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square MS Centre, UCL Institute of Neurology, University College London, London, UK
- e-Health Center, Universitat Oberta de Catalunya, Barcelona, Spain
| | - Philip de Witt Hamer
- Neurosurgical Center Amsterdam, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Centre for Medical Image Computing (CMIC), University College London, London, UK
- Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology, University College London, London, UK
- Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
| | - Roelant S Eijgelaar
- Neurosurgical Center Amsterdam, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
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Chen BT, Jin T, Ye N, Chen SW, Rockne RC, Yoon S, Mambetsariev I, Daniel E, Salgia R. Differential Distribution of Brain Metastases from Non-Small Cell Lung Cancer Based on Mutation Status. Brain Sci 2023; 13:1057. [PMID: 37508989 PMCID: PMC10377121 DOI: 10.3390/brainsci13071057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 07/10/2023] [Accepted: 07/10/2023] [Indexed: 07/30/2023] Open
Abstract
Non-small cell lung cancer (NSCLC) has a high rate of brain metastasis. The purpose of this study was to assess the differential distribution of brain metastases from primary NSCLC based on mutation status. Brain MRI scans of patients with brain metastases from primary NSCLC were retrospectively analyzed. Brain metastatic tumors were grouped according to mutation status of their primary NSCLC and the neuroimaging features of these brain metastases were analyzed. A total of 110 patients with 1386 brain metastases from primary NSCLC were included in this study. Gray matter density at the tumor center peaked at ~0.6 for all mutations. The median depths of tumors were 7.9 mm, 8.7 mm and 9.1 mm for EGFR, ALK and KRAS mutation groups, respectively (p = 0.044). Brain metastases for the EGFR mutation-positive group were more frequently located in the left cerebellum, left cuneus, left precuneus and right precentral gyrus. In the ALK mutation-positive group, brain metastases were more frequently located in the right middle occipital gyrus, right posterior cingulate, right precuneus, right precentral gyrus and right parietal lobe. In the KRAS mutation-positive patient group, brain metastases were more frequently located in the posterior left cerebellum. Our study showed differential spatial distribution of brain metastases in patients with NSCLC according to their mutation status. Information regarding distribution of brain metastases is clinically relevant as it could be helpful to guide treatment planning for targeted therapy, and for predicting prognosis.
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Affiliation(s)
- Bihong T Chen
- Department of Diagnostic Radiology, City of Hope National Medical Center, 1500 East Duarte Road, Duarte, CA 91010, USA
| | - Taihao Jin
- Department of Diagnostic Radiology, City of Hope National Medical Center, 1500 East Duarte Road, Duarte, CA 91010, USA
| | - Ningrong Ye
- Department of Diagnostic Radiology, City of Hope National Medical Center, 1500 East Duarte Road, Duarte, CA 91010, USA
| | - Sean W Chen
- Department of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center and Beckman Research Institute, Duarte, CA 91010, USA
| | - Russell C Rockne
- Division of Mathematical Oncology, City of Hope National Medical Center, 1500 East Duarte Road, Duarte, CA 91010, USA
| | - Stephanie Yoon
- Department of Radiation Oncology, City of Hope National Medical Center, 1500 East Duarte Road, Duarte, CA 91010, USA
| | - Isa Mambetsariev
- Department of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center and Beckman Research Institute, Duarte, CA 91010, USA
| | - Ebenezer Daniel
- Department of Diagnostic Radiology, City of Hope National Medical Center, 1500 East Duarte Road, Duarte, CA 91010, USA
| | - Ravi Salgia
- Department of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center and Beckman Research Institute, Duarte, CA 91010, USA
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Retrospective study of hypofractionated stereotactic radiotherapy combined with whole brain radiotherapy for patients with brain metastases. Radiat Oncol 2022; 17:132. [PMID: 35883147 PMCID: PMC9327356 DOI: 10.1186/s13014-022-02096-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 06/28/2022] [Indexed: 11/14/2022] Open
Abstract
Background and purpose To evaluate the clinical outcomes of hypofractionated stereotactic radiotherapy (HFSRT) combined with whole brain radiotherapy (WBRT) in patients with brain metastases (BMs). Materials and methods From May 2018 to July 2020, 50 patients (111 lesions) received HFSRT (18 Gy/3F) + WBRT (40 Gy/20F). The RECIST 1.1 and RANO-BM criteria were used to evaluate treatment efficacy. Five prognostic indexes (RPA, GPA, SIR, BS-BM, and GGS) were applied. The primary endpoint was intracranial local control (iLC). Secondary endpoints were overall survival (OS) and the safety of treatment. Results Intracranial objective response rates (iORR) using the RECIST 1.1 and RANO-BM criteria were 62.1% and 58.6%, respectively. The iLC rate was 93.1%, the 6- and 12-month iLC rates were 90.8% and 57.4%, respectively. The median intracranial progression-free survival (iPFS) was not reached (range 0–23 months). The 6-, 12-, and 24-month OS rates were 74.2%, 58.2%, and 22.9%, respectively. The KPS score showed statistical significance in univariate analysis of survival. The 6, 12, and 24 month OS rates for patients with KPS ≥ 70 were 83.8%, 70.5%, and 29.7%, respectively. The median survival time (MST) for all patients and for patients with KPS ≥ 70 were 13.6 and 16.5 months, respectively. Sex, KPS score, and gross tumor volume were significant factors in the multivariate analysis of survival. OS was significantly associated with RPA, SIR, BS-BM, and GGS classes. No acute toxicities of grade 3 or higher were noted. Conclusion HFSRT combined with WBRT is a safe and effective local treatment modality for BM patients.
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Treatment of brain metastases from gastrointestinal primaries: Comparing whole-brain radiotherapy and stereotactic radiosurgery in terms of survival. North Clin Istanb 2022; 9:47-56. [PMID: 35340309 PMCID: PMC8889206 DOI: 10.14744/nci.2021.65725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 10/25/2021] [Indexed: 02/01/2023] Open
Abstract
Objective: The objective of the study was to analyze the clinical features and prognostic factors for survival in patients with brain metastasis (BM) from gastrointestinal primaries treated with whole-brain radiotherapy (WBRT) or stereotactic radiosurgery (SRS). Methods: We retrospectively investigated patients with BMs resulting from gastrointestinal primaries who underwent WBRT or SRS. The effects of treatment modalities on overall survival (OS) were calculated by the Kaplan–Meier method. Results: WBRT and SRS were applied to 24 and 17 patients, respectively. In the WBRT group, radiotherapy was delivered at 20–30 Gy in 5–10 fractions (fx). In the SRS group, a median dose of 22 Gy (range: 18–27 Gy) was applied in 1–3 fx. At BM diagnosis, all patients had synchronous extracranial metastases which were mostly detected in the lung and liver. Median OS values were 9 months and 4 months in the SRS and WBRT groups, respectively (p=0.005). Karnofsky performance status (KPS) score (≥70 vs. <70), diagnosis-specific graded prognostic index, gastrointestinal (GI) graded prognostic index, cumulative intracranial tumor volume (CITV), controlled systemic disease, and treatment modality (WBRT vs. SBRT) were found to be related with OS. Conclusion: In patients with GI cancer-related BMs, SRS should be preferred in those with longer OS expectancy who have controlled extracranial disease, good KPS and CITV values of <10 cm3.
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Xiao L, Lin Q, Hu M, Wang Y, Hui Z, Wu F, Wang J. Could intracranial tumor volume predict prognosis of patients with brain metastases from esophageal carcinoma? Thorac Cancer 2022; 13:1193-1198. [PMID: 35289101 PMCID: PMC9013658 DOI: 10.1111/1759-7714.14384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Revised: 02/24/2022] [Accepted: 02/26/2022] [Indexed: 11/29/2022] Open
Abstract
PURPOSE A previous study demonstrated that intracranial tumor volume had some correlation with gastrointestinal cancer patients' outcome. The aim of this study was to analyze patients with esophageal carcinoma (EC) and brain metastases to investigate if intracranial tumor volume would be a predictor of these patients' survival. METHODS A total of 52 patients with brain metastases from esophageal squamous cell carcinoma or esophageal adenocarcinoma were retrospectively reviewed. Patients without images of brain metastases in the hospital information system were eliminated. RESULTS The median follow-up time duration was 8.4 months (interquartile range 4.0-15.2). The median overall survival (OS) from time of brain metastases diagnosis was 8.0 months for all cases. Median OS of patients with small and large cumulative intracranial tumor volume (CITV) (<6.65 cm3 , ≥6.65 cm3 ) was 11.23 and 7.4 months, respectively. Median OS of patients with large and small largest intracranial tumor volume (LITV) (≥7.75 cm3 , <7.75 cm3 ) was 6.4 and 10.6 months, respectively. Univariate analysis demonstrated that CITV (hazard ratio [HR] 1.255, 95% confidence interval [CI] 0.673-2.342, p = 0.475) or LITV (HR 1.037, 95% CI 0.570-1.887, p = 0.904) was not significantly associated with improved OS. Multivariate analysis demonstrated that CITV and LITV were not significantly associated with improved OS. CONCLUSION EC patients with small intracranial tumor volume may have longer OS than those with large intracranial tumor volume, but this difference did not reach statistical difference. Future studies with a larger sample size may validate the correlation of intracranial tumor volume and patient survival.
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Affiliation(s)
- Linlin Xiao
- Department of Radiation Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Qiang Lin
- Department of Oncology, North China Petroleum Bureau General Hospital, Hebei Medical University, Renqiu, China
| | - Mengzhu Hu
- Department of Radiation Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yi Wang
- Department of Radiation Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Zhouguang Hui
- Department of Radiotherapy, Cancer Institute & Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Fengpeng Wu
- Department of Radiation Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Jun Wang
- Department of Radiation Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
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Krist DT, Naik A, Thompson CM, Kwok SS, Janbahan M, Olivero WC, Hassaneen W. Management of Brain Metastasis. Surgical Resection versus Stereotactic Radiotherapy: A Meta-analysis. Neurooncol Adv 2022; 4:vdac033. [PMID: 35386568 PMCID: PMC8982204 DOI: 10.1093/noajnl/vdac033] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Treatment of metastatic brain tumors often involves radiotherapy with or without surgical resection as the first step. However, the indications for when to use surgery are not clearly defined for certain tumor sizes and multiplicity. This study seeks to determine whether resection of brain metastases versus exclusive radiotherapy provided improved survival and local control in cases where metastases are limited in number and diameter.
Methods
According to PRISMA guidelines, this meta-analysis compares outcomes from treatment of a median number of brain metastases ≤4 with a median diameter ≤4 cm with exclusive radiotherapy versus surgery followed by radiotherapy. Four randomized control trials and 11 observational studies (1693 patients) met inclusion criteria. For analysis, studies were grouped based on whether radiation involved stereotactic radiosurgery (SRS) or whole-brain radiotherapy (WBRT).
Results
In both analyses, there was no difference in survival between surgery ±SRS versus SRS alone two years after treatment (OR 1.89 (95% CI: 0.47 - 7.55, p = 0.23) or surgery + WBRT versus radiotherapy alone (either WBRT and/or SRS) (OR 1.18 (95% CI: 0.76 – 1.84, p = 0.46). However, surgical patients demonstrated greater risk for local tumor recurrence compared to SRS alone (OR 2.20 (95% CI: 1.49 - 3.25, p < 0.0001)) and compared to WBRT/SRS (OR 2.93; 95% CI: 1.68 - 5.13, p = 0.0002).
Conclusion
The higher incidence of local tumor recurrence for surgical patients suggests that more prospective studies are needed to clarify outcomes for treatment of 1-4 metastasis less than 4 cm diameter.
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Affiliation(s)
- David T Krist
- Department of Neurosurgery, Carle Foundation Hospital, Urbana, IL
- Carle Illinois College of Medicine, Champaign, IL
| | - Anant Naik
- Department of Neurosurgery, Carle Foundation Hospital, Urbana, IL
- Carle Illinois College of Medicine, Champaign, IL
| | - Charee M Thompson
- Carle Illinois College of Medicine, Champaign, IL
- Department of Communication, University of Illinois at Urbana-Champaign, Urbana, IL
| | - Susanna S Kwok
- Department of Neurosurgery, Carle Foundation Hospital, Urbana, IL
- Carle Illinois College of Medicine, Champaign, IL
| | - Mika Janbahan
- Department of Neurosurgery, Carle Foundation Hospital, Urbana, IL
- Carle Illinois College of Medicine, Champaign, IL
| | - William C Olivero
- Department of Neurosurgery, Carle Foundation Hospital, Urbana, IL
- Carle Illinois College of Medicine, Champaign, IL
| | - Wael Hassaneen
- Department of Neurosurgery, Carle Foundation Hospital, Urbana, IL
- Carle Illinois College of Medicine, Champaign, IL
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Zaki MM, Mashouf LA, Woodward E, Langat P, Gupta S, Dunn IF, Wen PY, Nahed BV, Bi WL. Genomic landscape of gliosarcoma: distinguishing features and targetable alterations. Sci Rep 2021; 11:18009. [PMID: 34504233 PMCID: PMC8429571 DOI: 10.1038/s41598-021-97454-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 07/19/2021] [Indexed: 12/20/2022] Open
Abstract
Gliosarcoma is an aggressive brain tumor with histologic features of glioblastoma (GBM) and soft tissue sarcoma. Despite its poor prognosis, its rarity has precluded analysis of its underlying biology. We used a multi-center database to characterize the genomic landscape of gliosarcoma. Sequencing data was obtained from 35 gliosarcoma patients from Genomics Evidence Neoplasia Information Exchange (GENIE) 5.0, a database curated by the American Association of Cancer Research (AACR). We analyzed genomic alterations in gliosarcomas and compared them to GBM (n = 1,449) and soft tissue sarcoma (n = 1,042). 30 samples were included (37% female, median age 59 [IQR: 49–64]). Nineteen common genes were identified in gliosarcoma, defined as those altered in > 5% of samples, including TERT Promoter (92%), PTEN (66%), and TP53 (60%). Of the 19 common genes in gliosarcoma, 6 were also common in both GBM and soft tissue sarcoma, 4 in GBM alone, 0 in soft tissue sarcoma alone, and 9 were more distinct to gliosarcoma. Of these, BRAF harbored an OncoKB level 1 designation, indicating its status as a predictive biomarker of response to an FDA-approved drug in certain cancers. EGFR, CDKN2A, NF1, and PTEN harbored level 4 designations in solid tumors, indicating biological evidence of these biomarkers predicting a drug-response. Gliosarcoma contains molecular features that overlap GBM and soft tissue sarcoma, as well as its own distinct genomic signatures. This may play a role in disease classification and inclusion criteria for clinical trials. Gliosarcoma mutations with potential therapeutic indications include BRAF, EGFR, CDKN2A, NF1, and PTEN.
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Affiliation(s)
- Mark M Zaki
- Center for Skull Base and Pituitary Surgery, Department of Neurosurgery, Brigham and Women's Hospital, 60 Fenwood Road, Boston, MA, 02115, USA.,Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA
| | - Leila A Mashouf
- Center for Skull Base and Pituitary Surgery, Department of Neurosurgery, Brigham and Women's Hospital, 60 Fenwood Road, Boston, MA, 02115, USA
| | - Eleanor Woodward
- Center for Skull Base and Pituitary Surgery, Department of Neurosurgery, Brigham and Women's Hospital, 60 Fenwood Road, Boston, MA, 02115, USA
| | - Pinky Langat
- Center for Skull Base and Pituitary Surgery, Department of Neurosurgery, Brigham and Women's Hospital, 60 Fenwood Road, Boston, MA, 02115, USA
| | - Saksham Gupta
- Center for Skull Base and Pituitary Surgery, Department of Neurosurgery, Brigham and Women's Hospital, 60 Fenwood Road, Boston, MA, 02115, USA
| | - Ian F Dunn
- Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Patrick Y Wen
- Center for NeuroOncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Brian V Nahed
- Center for NeuroOncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Wenya Linda Bi
- Center for Skull Base and Pituitary Surgery, Department of Neurosurgery, Brigham and Women's Hospital, 60 Fenwood Road, Boston, MA, 02115, USA.
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Stiles BM, Mao J, Harrison S, Lee B, Port JL, Altorki NK, Sedrakyan A. Sublobar resection for node-negative lung cancer 2-5 cm in size. Eur J Cardiothorac Surg 2020; 56:858-866. [PMID: 31168591 DOI: 10.1093/ejcts/ezz146] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Revised: 03/26/2019] [Accepted: 04/16/2019] [Indexed: 12/25/2022] Open
Abstract
OBJECTIVES Sublobar resection (SLR) is an alternative to lobectomy for non-small-cell lung cancer (NSCLC). Outcomes following SLR for tumours >2 cm are not well described. We sought to determine the utilization of SLR for stage I tumours >2-5 cm in size and to determine predictors of outcome. METHODS We utilized the Surveillance, Epidemiology and End Results Program (SEER)-Medicare database to identify NSCLC patients with primary lung cancer ≥66 years old with stage I cancers >2-5 cm in size. We evaluated overall survival and cancer-specific survival among cohorts undergoing lobectomy versus SLR. Propensity score matching was performed. We compared patient characteristics and survival between groups. RESULTS For the study time period (2007-2012), among patients with tumours >2 cm and ≤5 cm (n = 4582), 3890 lobectomies (85%) and 692 SLR (15%) were performed. Patients undergoing SLR were older, had smaller tumours and more comorbidities. Patients undergoing lobectomy were much more likely to have any lymph nodes removed (95.6% vs 65.6%, P < 0.001) and to have >10 nodes removed (29.6% vs 7.5%, P < 0.001). All-cause mortality [hazard ratio (HR) 1.65, confidence interval (CI) 1.48-1.85] and cancer-specific (HR 1.63, CI 1.29-2.06) mortality were higher following SLR. At 3 years, overall survival (60.9%, CI 57.0-64.6% vs 54.4%, CI 50.4-58.2%) and cancer-specific survival (87.3%, CI 83.5-90.3% vs 76.5%, CI 71.0-81.1%) favoured lobectomy over SLR. In propensity-matched groups, both all-cause (HR 1.27, CI 1.10-1.47) and cancer-specific (HR 1.54, CI 1.11-2.16) mortality rates were higher with SLR. CONCLUSIONS In pathologically staged patients, SLR appears inferior to lobectomy for stage I NSCLC 2-5 cm in size. SLR is associated with less extensive lymphadenectomy and with worse survival than lobectomy in this cohort of patients. However, the 76.5% 3-year cancer-specific survival in patients undergoing SLR may exceed that of other localized treatment options for NSCLC. As such, SLR may be an appropriate option for high-risk patients with carefully staged 2-5 cm N0 tumours.
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Affiliation(s)
- Brendon M Stiles
- Weill Cornell Medicine, New York-Presbyterian Hospital, New York, NY, USA
| | - Jialin Mao
- Weill Cornell Medicine, New York-Presbyterian Hospital, New York, NY, USA
| | - Sebron Harrison
- Weill Cornell Medicine, New York-Presbyterian Hospital, New York, NY, USA
| | - Benjamin Lee
- Weill Cornell Medicine, New York-Presbyterian Hospital, New York, NY, USA
| | - Jeffrey L Port
- Weill Cornell Medicine, New York-Presbyterian Hospital, New York, NY, USA
| | - Nasser K Altorki
- Weill Cornell Medicine, New York-Presbyterian Hospital, New York, NY, USA
| | - Art Sedrakyan
- Weill Cornell Medicine, New York-Presbyterian Hospital, New York, NY, USA
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Bastos DCDA, Fuentes DT, Traylor J, Weinberg J, Kumar VA, Stafford J, Li J, Rao G, Prabhu SS. The use of laser interstitial thermal therapy in the treatment of brain metastases: a literature review. Int J Hyperthermia 2020; 37:53-60. [DOI: 10.1080/02656736.2020.1748238] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Affiliation(s)
| | - David T. Fuentes
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jeffrey Traylor
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jeffrey Weinberg
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Vinodh A. Kumar
- Department of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jason Stafford
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jing Li
- Department of Radiation Oncology, 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
| | - Sujit S. Prabhu
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Bastos DCDA, Weinberg J, Kumar VA, Fuentes DT, Stafford J, Li J, Rao G, Prabhu SS. Laser Interstitial Thermal Therapy in the treatment of brain metastases and radiation necrosis. Cancer Lett 2020; 489:9-18. [PMID: 32504657 DOI: 10.1016/j.canlet.2020.05.014] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 05/04/2020] [Accepted: 05/13/2020] [Indexed: 01/16/2023]
Abstract
Stereotactic Radiosurgery has become the main treatment for patients with limited number of brain metastases (BM). Recently, with the increasing use of this modality, there is a growth in recurrence cases. Recurrence after radiation therapy can be divided in changes favoring either tumor recurrence or radiation necrosis (RN). Laser Interstitial Thermal Therapy (LITT) is minimally invasive treatment modality that has been used to treat primary and metastatic brain tumors. When associated with real-time thermometry using Magnetic Resonance Imaging, the extent of ablation can be controlled to provide maximum coverage and avoid eloquent areas. The objective of this study was to investigate the use of LITT in the treatment of BM. An extensive review of the relevant literature was conducted and the outcome results are discussed. There is an emphasis on safety and local control rate of patients treated with this modality. The findings of our study suggest that LITT is a viable safe technique to treat recurrent BM, especially in patients with deep-seated lesions where surgical resection is not an option.
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Affiliation(s)
- Dhiego Chaves de Almeida Bastos
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, 1400 Holcombe Blvd, FC7.2000, Unit Number: 442, Houston, TX, 77030, USA.
| | - Jeffrey Weinberg
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, 1400 Holcombe Blvd, FC7.2000, Unit Number: 442, Houston, TX, 77030, USA.
| | - Vinodh A Kumar
- Department of Neuroradiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Unit 1482, Houston, Texa, 77030-4008, USA.
| | - David T Fuentes
- Department of Imaging Physics - UNIT 1472, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, FCT14.5000, Houston, TX, 77030, USA.
| | - Jason Stafford
- Department of Imaging Physics - UNIT 1472, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, FCT14.5000, Houston, TX, 77030, USA.
| | - Jing Li
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Unit 1482, PO Box 301402, Houston, TX, 77030, USA.
| | - Ganesh Rao
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, 1400 Holcombe Blvd, FC7.2000, Unit Number: 442, Houston, TX, 77030, USA.
| | - Sujit S Prabhu
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, 1400 Holcombe Blvd, FC7.2000, Unit Number: 442, Houston, TX, 77030, USA.
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12
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Ko PH, Kim HJ, Lee JS, Kim WC. Tumor volume and sphericity as predictors of local control after stereotactic radiosurgery for limited number (1-4) brain metastases from nonsmall cell lung cancer. Asia Pac J Clin Oncol 2020; 16:165-171. [PMID: 32030901 DOI: 10.1111/ajco.13309] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2019] [Accepted: 01/07/2020] [Indexed: 12/27/2022]
Abstract
AIM This study aims to evaluate the usage of brain metastases (BM) tumor volume and sphericity as prognostic factors in local control (LC) after stereotactic radiosurgery (SRS) for limited number (1-4) BM from nonsmall cell lung cancer (NSCLC). METHODS We retrospectively reviewed 80 patients, with 141 BM, who were treated with SRS from 2012 to 2017. Local failure was defined as an increase in lesion size after SRS. LC and overall survival (OS) were estimated using Kaplan-Meier method. The Cox proportional hazards model was used for univariate and multivariate analysis. RESULTS The median clinical and radiographic follow-up was 11.2 and 9.0 months, respectively. The median BM tumor volume was 0.31 cm3 (0.01-21.64 cm3 ) and the median tumor sphericity was 0.76 (0.39-0.95). The median LC of the entire cohort was 28.8 months. LC rate at last follow-up was achieved in 84.4% of patients (35.5% CR, 35.5% PR, and 13.5% SD). LC was 83.8% at 1 year and 56.3% at 2 years. On multivariate analysis, only sphericity (P < .001) and volume (P = .004) were found to be a strong predictor for LC. The median OS of the entire cohort was 24.1 months. On multivariate analysis, only GPA score was found to be a predictor for OS. CONCLUSION BM tumor sphericity and volume were found to be strong predictors for LC. Tumor sphericity and volume should be taken into consideration when treating patients with BM and when designing future prospective studies and developing prognostic indices.
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Affiliation(s)
- Peter Hansoo Ko
- School of Medicine, City University of New York, New York, USA
| | - Hun Jung Kim
- Department of Radiation Oncology, Inha University Hospital, Inha University of Medicine, Inchon, Korea
| | - Jeong Shim Lee
- Department of Radiation Oncology, Inha University Hospital, Inha University of Medicine, Inchon, Korea
| | - Woo Chul Kim
- Department of Radiation Oncology, Inha University Hospital, Inha University of Medicine, Inchon, Korea
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Tao J, Gao Z, Huang R, Li H. Therapeutic effect of combined hyperbaric oxygen and radiation therapy for single brain metastasis and its influence on osteopontin and MMP-9. Exp Ther Med 2019; 17:465-471. [PMID: 30651823 PMCID: PMC6307382 DOI: 10.3892/etm.2018.6930] [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: 04/04/2017] [Accepted: 06/15/2018] [Indexed: 12/21/2022] Open
Abstract
The present study aimed to investigate the therapeutic effect of combined hyperbaric oxygen and radiation therapy for the treatment of single brain metastasis (SBM), as well as its influence on osteopontin (OPN) and matrix metalloproteinase-9 (MMP-9). A total of 86 patients with SBM were admitted to Hongqi Hospital from January 2013 to January 2016 and those included within the study were randomly divided into two groups. The control group was only treated with whole brain radiotherapy, while the observation group was treated with hyperbaric oxygenation combined with whole brain radiotherapy. OPN and MMP-9 expression was measured in each group by ELISA and the results prior to and following treatment were compared. The total effective rate (patients with complete remission, partial remission or stabilized lesions) in the observation group (95.3%) was significantly increased compared with the control group (67.4%). However, the OPN and MMP-9 protein levels observed in the observation group were significantly reduced compared with the control group (P<0.05). In addition, the quality of life and the incidence of adverse reactions in the observation group were significantly improved compared with the control group (P<0.05). For patients with SBM, hyperbaric oxygenation combined with radiotherapy may improve the efficiency of treatment and should be considered for further investigation and use within a clinical setting.
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Affiliation(s)
- Jing Tao
- Department of Hyperbaric Oxygen Therapy, Affiliated Hongqi Hospital, Mudanjiang Medical University, Mudanjiang, Heilongjiang 157011, P.R. China
| | - Zhaoyu Gao
- Department of Hyperbaric Oxygen Therapy, Affiliated Hongqi Hospital, Mudanjiang Medical University, Mudanjiang, Heilongjiang 157011, P.R. China
| | - Rui Huang
- Department of Academic Theory, Mudanjiang Medical University, Mudanjiang, Heilongjiang 157011, P.R. China
| | - Hong Li
- Department of Hyperbaric Oxygen Therapy, Affiliated Hongqi Hospital, Mudanjiang Medical University, Mudanjiang, Heilongjiang 157011, P.R. China
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Thapa B, Borghei-Razavi H, M Mohammadi A, Ahluwalia M. An Excellent Clinical Outcome with Stereotactic Radiosurgery in a Geriatric Patient with Multiple and Recurrent Brain Metastases. Cureus 2017; 9:e1979. [PMID: 29492368 PMCID: PMC5823486 DOI: 10.7759/cureus.1979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
The incidence of brain metastases range from 10 to 20% of all adult patients with cancer and lung cancer is associated with one of the highest incidences of brain metastases. In geriatric patients, who already have limited cognitive function, whole brain radiation therapy (WBRT) can be a problem. Stereotactic radiosurgery (SRS) is a one day, outpatient treatment with minimal effect to normal brain and could particularly be useful in elderly patients. We report the case of a geriatric patient with metastatic lung adenocarcinoma who had multiple brain metastases and recurrences, who responded well to the stereotactic radiosurgery (six sessions) with acceptable tumor control.
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Affiliation(s)
- Bicky Thapa
- Internal Medicine, Cleveland Clinic, Fairview Hospital
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