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Pellerino A, Davidson TM, Bellur SS, Ahluwalia MS, Tawbi H, Rudà R, Soffietti R. Prevention of Brain Metastases: A New Frontier. Cancers (Basel) 2024; 16:2134. [PMID: 38893253 PMCID: PMC11171378 DOI: 10.3390/cancers16112134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 05/29/2024] [Accepted: 06/01/2024] [Indexed: 06/21/2024] Open
Abstract
This review discusses the topic of prevention of brain metastases from the most frequent solid tumor types, i.e., lung cancer, breast cancer and melanoma. Within each tumor type, the risk of brain metastasis is related to disease status and molecular subtype (i.e., EGFR-mutant non-small cell lung cancer, HER2-positive and triple-negative breast cancer, BRAF and NRAF-mutant melanoma). Prophylactic cranial irradiation is the standard of care in patients in small cell lung cancer responsive to chemotherapy but at the price of late neurocognitive decline. More recently, several molecular agents with the capability to target molecular alterations driving tumor growth have proven as effective in the prevention of secondary relapse into the brain in clinical trials. This is the case for EGFR-mutant or ALK-rearranged non-small cell lung cancer inhibitors, tucatinib and trastuzumab-deruxtecan for HER2-positive breast cancer and BRAF inhibitors for melanoma. The need for screening with an MRI in asymptomatic patients at risk of brain metastases is emphasized.
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Affiliation(s)
- Alessia Pellerino
- Division of Neuro-Oncology, Department of Neuroscience ‘Rita Levi Montalcini’, University and City of Health and Science Hospital, 10126 Turin, Italy;
| | - Tara Marie Davidson
- Department of Melanoma Medical Oncology, UT MD Anderson Cancer Center, Houston, TX 77030, USA; (T.M.D.); (H.T.)
| | - Shreyas S. Bellur
- Department of Medical Oncology, Miami Cancer Institute, Miami, FL 33176, USA; (S.S.B.); (M.S.A.)
| | - Manmeet S. Ahluwalia
- Department of Medical Oncology, Miami Cancer Institute, Miami, FL 33176, USA; (S.S.B.); (M.S.A.)
| | - Hussein Tawbi
- Department of Melanoma Medical Oncology, UT MD Anderson Cancer Center, Houston, TX 77030, USA; (T.M.D.); (H.T.)
| | - Roberta Rudà
- Division of Neuro-Oncology, Department of Neuroscience ‘Rita Levi Montalcini’, University and City of Health and Science Hospital, 10126 Turin, Italy;
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2
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Leng JX, Carpenter DJ, Huang C, Qazi J, Arshad M, Mullikin TC, Reitman ZJ, Kirkpatrick JP, Floyd SR, Fecci PE, Chmura SJ, Hong JC, Salama JK. Determinants of Symptomatic Intracranial Progression After an Initial Stereotactic Radiosurgery Course. Adv Radiat Oncol 2024; 9:101475. [PMID: 38690297 PMCID: PMC11059392 DOI: 10.1016/j.adro.2024.101475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 02/04/2024] [Indexed: 05/02/2024] Open
Abstract
Purpose Clinical and imaging surveillance of patients with brain metastases is important after stereotactic radiosurgery (SRS) because many will experience intracranial progression (ITCP) requiring multidisciplinary management. The prognostic significance of neurologic symptoms at the time of ITCP is poorly understood. Methods and Materials This was a multi-institutional, retrospective cohort study from 2015 to 2020, including all patients with brain metastases completing an initial course of SRS. The primary outcome was overall survival (OS) by presence of neurologic symptoms at ITCP. OS, freedom from ITCP (FF-ITCP), and freedom from symptomatic ITCP (FF-SITCP) were assessed via Kaplan-Meier method. Cox proportional hazard models tested parameters impacting FF-ITCP and FF-SITCP. Results Among 1383 patients, median age was 63.4 years, 55% were female, and common primaries were non-small cell lung (49%), breast (15%), and melanoma (9%). At a median follow-up of 8.72 months, asymptomatic and symptomatic ITCP were observed in 504 (36%) and 194 (14%) patients, respectively. The majority of ITCP were distant ITCP (79.5%). OS was worse with SITCP (median, 10.2 vs 17.9 months, P < .001). SITCP was associated with clinical factors including total treatment volume (P = .012), melanoma histology (P = .001), prior whole brain radiation therapy (P = .003), number of brain metastases (P < .001), interval of 1 to 2 years from primary and brain metastasis diagnosis (P = .012), controlled extracranial disease (P = .042), and receipt of pre-SRS chemotherapy (P = .015). Patients who were younger and received post-SRS chemotherapy (P = .001), immunotherapy (P < .001), and targeted or small-molecule inhibitor therapy (P < .026) had better FF-SITCP. Conclusions In this cohort study of patients with brain metastases completing SRS, neurologic symptoms at ITCP is prognostic for OS. This data informs post-SRS surveillance in clinical practice as well as future prospective studies needed in the modern management of brain metastases.
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Affiliation(s)
- Jim X. Leng
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - David J. Carpenter
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
- Department of Radiation Oncology, Wellstar Paulding Hospital, Hiram, Georgia
| | - Christina Huang
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Jamiluddin Qazi
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Muzamil Arshad
- Department of Radiation and Cellular Oncology, University of Chicago Medical Center, Chicago, Illinois
| | - Trey C. Mullikin
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Zachary J. Reitman
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - John P. Kirkpatrick
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - Scott R. Floyd
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Peter E. Fecci
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - Steven J. Chmura
- Department of Radiation and Cellular Oncology, University of Chicago Medical Center, Chicago, Illinois
| | - Julian C. Hong
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, California
- Joint Program in Computational Precision Health, University of California, San Francisco, California and University of California, Berkeley, California
| | - Joseph K. Salama
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
- Radiation Oncology Clinical Service, Durham VA Health Care System, Durham, North Carolina
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3
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Fittall MW, Brewer M, de Boisanger J, Kviat L, Babiker A, Taylor H, Saran F, Konadu J, Solda F, Creak A, Welsh LC, Rosenfelder N. Predicting Survival with Brain Metastases in the Stereotactic Radiosurgery Era: are Existing Prognostic Scores Still Relevant? Or Can we do Better? Clin Oncol (R Coll Radiol) 2024; 36:307-317. [PMID: 38368229 DOI: 10.1016/j.clon.2024.01.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 11/20/2023] [Accepted: 01/30/2024] [Indexed: 02/19/2024]
Abstract
Predicting survival is essential to tailoring treatment for patients diagnosed with brain metastases. We have evaluated the performance of widely used, validated prognostic scoring systems (Graded Prognostic Assessment and diagnosis-specific Graded Prognostic Assessment) in over 1000 'real-world' patients treated with stereotactic radiosurgery to the brain, selected according to National Health Service commissioning criteria. Survival outcomes from our dataset were consistent with those predicted by the prognostic systems, but with certain cancer subtypes showing a significantly better survival than predicted. Although performance status remains the simplest tool for prediction, total brain tumour volume emerges as an independent prognostic factor, and a new, improved, prognostic scoring system incorporating this has been developed.
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Affiliation(s)
- M W Fittall
- Cancer Institute, University College London, London, UK
| | - M Brewer
- The Department of Neuro-oncology, Royal Marsden NHS Foundation Trust, London, UK
| | - J de Boisanger
- The Department of Neuro-oncology, Royal Marsden NHS Foundation Trust, London, UK
| | - L Kviat
- The Department of Neuro-oncology, Royal Marsden NHS Foundation Trust, London, UK
| | - A Babiker
- The Department of Neuro-oncology, Royal Marsden NHS Foundation Trust, London, UK
| | - H Taylor
- The Department of Neuro-oncology, Royal Marsden NHS Foundation Trust, London, UK
| | - F Saran
- Cancer and Blood Service, Auckland City Hospital, Auckland, New Zealand
| | - J Konadu
- The Department of Neuro-oncology, Royal Marsden NHS Foundation Trust, London, UK
| | - F Solda
- The Department of Neuro-oncology, Royal Marsden NHS Foundation Trust, London, UK
| | - A Creak
- The Department of Neuro-oncology, Royal Marsden NHS Foundation Trust, London, UK
| | - L C Welsh
- The Department of Neuro-oncology, Royal Marsden NHS Foundation Trust, London, UK
| | - N Rosenfelder
- The Department of Neuro-oncology, Royal Marsden NHS Foundation Trust, London, UK.
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Avino A, Ion DE, Gheoca-Mutu DE, Abu-Baker A, Țigăran AE, Peligrad T, Hariga CS, Balcangiu-Stroescu AE, Jecan CR, Tudor A, Răducu L. Diagnostic and Therapeutic Particularities of Symptomatic Melanoma Brain Metastases from Case Report to Literature Review. Diagnostics (Basel) 2024; 14:688. [PMID: 38611601 PMCID: PMC11011469 DOI: 10.3390/diagnostics14070688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 03/19/2024] [Indexed: 04/14/2024] Open
Abstract
The recent introduction of immunotherapy and targeted therapy has substantially enriched the therapeutic landscape of metastatic melanoma. However, cerebral metastases remain unrelenting entities with atypical metabolic and genetic profiles compared to extracranial metastases, requiring combined approaches with local ablative treatment to alleviate symptoms, prevent recurrence and restore patients' biological and psychological resources for fighting malignancy. This paper aims to provide the latest scientific evidence about the rationale and timing of treatment, emphasizing the complementary roles of surgery, radiotherapy, and systemic therapy in eradicating brain metastases, with a special focus on the distinct response of intracranial and extracranial disease, which are regarded as separate molecular entities. To illustrate the complexity of designing individualized therapeutic schemes, we report a case of delayed BRAF-mutant diagnosis, an aggressive forearm melanoma, in a presumed psychiatric patient whose symptoms were caused by cerebral melanoma metastases. The decision to administer molecularly targeted therapy was dictated by the urgency of diminishing the tumor burden for symptom control, due to potentially life-threatening complications caused by the flourishing of extracranial disease in locations rarely reported in living patients, further proving the necessity of multidisciplinary management.
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Affiliation(s)
- Adelaida Avino
- Discipline of Plastic Surgery, ‘Carol Davila’ University of Medicine and Pharmacy, 020021 Bucharest, Romania; (A.A.); (C.-R.J.); (L.R.)
- Doctoral School, ‘Carol Davila’ University of Medicine and Pharmacy, 020021 Bucharest, Romania;
- Department of Plastic and Reconstructive Surgery, ‘Prof. Dr. Agrippa Ionescu’ Clinical Emergency Hospital, 011356 Bucharest, Romania; (D.-E.G.-M.); (A.-E.Ț.); (T.P.)
| | - Daniela-Elena Ion
- Department of Plastic and Reconstructive Surgery, ‘Prof. Dr. Agrippa Ionescu’ Clinical Emergency Hospital, 011356 Bucharest, Romania; (D.-E.G.-M.); (A.-E.Ț.); (T.P.)
| | - Daniela-Elena Gheoca-Mutu
- Department of Plastic and Reconstructive Surgery, ‘Prof. Dr. Agrippa Ionescu’ Clinical Emergency Hospital, 011356 Bucharest, Romania; (D.-E.G.-M.); (A.-E.Ț.); (T.P.)
- Discipline of Anatomy, ‘Carol Davila’ University of Medicine and Pharmacy, 020021 Bucharest, Romania
| | - Abdalah Abu-Baker
- Doctoral School, ‘Carol Davila’ University of Medicine and Pharmacy, 020021 Bucharest, Romania;
- Department of Plastic and Reconstructive Surgery, ‘Prof. Dr. Agrippa Ionescu’ Clinical Emergency Hospital, 011356 Bucharest, Romania; (D.-E.G.-M.); (A.-E.Ț.); (T.P.)
| | - Andrada-Elena Țigăran
- Department of Plastic and Reconstructive Surgery, ‘Prof. Dr. Agrippa Ionescu’ Clinical Emergency Hospital, 011356 Bucharest, Romania; (D.-E.G.-M.); (A.-E.Ț.); (T.P.)
| | - Teodora Peligrad
- Department of Plastic and Reconstructive Surgery, ‘Prof. Dr. Agrippa Ionescu’ Clinical Emergency Hospital, 011356 Bucharest, Romania; (D.-E.G.-M.); (A.-E.Ț.); (T.P.)
| | - Cristian-Sorin Hariga
- Discipline of Plastic Surgery, ‘Carol Davila’ University of Medicine and Pharmacy, 020021 Bucharest, Romania; (A.A.); (C.-R.J.); (L.R.)
- Department of Plastic and Reconstructive Surgery, Clinical Emergency Hospital Bucharest, 014461 Bucharest, Romania
| | - Andra-Elena Balcangiu-Stroescu
- Discipline of Physiology, Faculty of Dental Medicine, ‘Carol Davila’ University of Medicine and Pharmacy, 020021 Bucharest, Romania
| | - Cristian-Radu Jecan
- Discipline of Plastic Surgery, ‘Carol Davila’ University of Medicine and Pharmacy, 020021 Bucharest, Romania; (A.A.); (C.-R.J.); (L.R.)
- Department of Plastic and Reconstructive Surgery, ‘Prof. Dr. Agrippa Ionescu’ Clinical Emergency Hospital, 011356 Bucharest, Romania; (D.-E.G.-M.); (A.-E.Ț.); (T.P.)
| | - Adrian Tudor
- Discipline of Anatomy and Embriology, University of Medicine, Sciences and Technology “George Emil Palade”, 540139 Targu Mures, Romania;
- Department of General Surgery I, Targu Mures Emergency Clinical Hospital, 540136 Targu Mures, Romania
| | - Laura Răducu
- Discipline of Plastic Surgery, ‘Carol Davila’ University of Medicine and Pharmacy, 020021 Bucharest, Romania; (A.A.); (C.-R.J.); (L.R.)
- Department of Plastic and Reconstructive Surgery, ‘Prof. Dr. Agrippa Ionescu’ Clinical Emergency Hospital, 011356 Bucharest, Romania; (D.-E.G.-M.); (A.-E.Ț.); (T.P.)
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Ottaviani MM, Fasinella MR, Di Rienzo A, Gladi M, di Somma LGM, Iacoangeli M, Dobran M. Analysis of prognostic factors and the role of epilepsy in neurosurgical patients with brain metastases. Surg Neurol Int 2024; 15:79. [PMID: 38628515 PMCID: PMC11021078 DOI: 10.25259/sni_735_2023] [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: 09/03/2023] [Accepted: 02/01/2024] [Indexed: 04/19/2024] Open
Abstract
Background Brain metastases (BMs) represent the most frequent brain tumors in adults. The identification of key prognostic factors is essential for choosing the therapeutic strategy tailored to each patient. Epilepsy can precede several months of other clinical presentations of BMs. This work aimed to study the impact of epilepsy and other prognostic factors on BMs patients' survival. Methods This retrospective study included 51 patients diagnosed with BMs and who underwent neurosurgery between 2010 and 2021. The impact of BM features and patient's clinical characteristics on the overall survival (OS) was analyzed through uni- and multivariate analysis. Results The average OS was 25.98 months and differed according to the histology of the primary tumor. The primary tumor localization and the presence of extracranial metastases had a statistically significant impact on the OS, and patients with single BM showed a superior OS to those with multifocal lesions. The localization of BMs in the temporal lobe correlated with the highest OS. The OS was significantly higher in patients who presented seizures in their clinical onset and in those who had better post-surgical Karnofsky performance status, no post-surgical complications, and who underwent post-surgical treatment. Conclusion Our study has highlighted prognostically favorable patient and tumor factors. Among those, a clinical onset with epileptic seizures can help identify brain metastasis hitherto silent. This could lead to immediate diagnostic-therapeutic interventions with more aggressive therapies after appropriate multidisciplinary evaluation.
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Robinson SD, de Boisanger J, Pearl FMG, Critchley G, Rosenfelder N, Giamas G. A brain metastasis liquid biopsy: Where are we now? Neurooncol Adv 2024; 6:vdae066. [PMID: 38770219 PMCID: PMC11102938 DOI: 10.1093/noajnl/vdae066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2024] Open
Abstract
Brain metastases remain a challenging and feared complication for patients with cancer and research in this area has lagged behind research into metastases to other organs. Due to their location and the risks associated with neurosurgical biopsies, the biology underpinning brain metastases response to treatment and evolution over time remains poorly understood. Liquid biopsies are proposed to overcome many of the limitations present with tissue biopsies, providing a better representation of tumor heterogeneity, facilitating repeated sampling, and providing a noninvasive assessment of tumor biology. Several different liquid biopsy approaches have been investigated including circulating tumor cells, circulating tumor DNA, extracellular vesicles, and tumor-educated platelets; however, these have generally been less effective in assessing brain metastases compared to metastases to other organs requiring improved techniques to investigate these approaches, studies combining different liquid biopsy approaches and/or novel liquid biopsy approaches. Through this review, we highlight the current state of the art and define key unanswered questions related to brain metastases liquid biopsies.
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Affiliation(s)
- Stephen David Robinson
- Sussex Cancer Centre, University Hospitals Sussex NHS Foundation Trust, Brighton, UK
- Department of Biochemistry and Biomedicine, School of Life Sciences, University of Sussex, Falmer, Brighton, UK
| | - James de Boisanger
- Neuro-Oncology Unit, The Royal Marsden Hospital NHS Foundation Trust, London, UK
| | - Frances M G Pearl
- Department of Biochemistry and Biomedicine, School of Life Sciences, University of Sussex, Falmer, Brighton, UK
| | - Giles Critchley
- Department of Neurosurgery, University Hospitals Sussex NHS Foundation Trust, Brighton, UK
- Section of Neurosurgery, Department of Surgical Sciences, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Nicola Rosenfelder
- Neuro-Oncology Unit, The Royal Marsden Hospital NHS Foundation Trust, London, UK
| | - Georgios Giamas
- Department of Biochemistry and Biomedicine, School of Life Sciences, University of Sussex, Falmer, Brighton, UK
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7
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Ribeiro LM, Bomtempo FF, Rocha RB, Telles JPM, Neto EB, Figueiredo EG. Development and adaptations of the Graded Prognostic Assessment (GPA) scale: a systematic review. Clin Exp Metastasis 2023; 40:445-463. [PMID: 37819546 DOI: 10.1007/s10585-023-10237-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 09/22/2023] [Indexed: 10/13/2023]
Abstract
The Graded Prognostic Assessment (GPA) score has the best accuracy among prognostic scales for patients with brain metastases (BM). A wide range of GPA-derived scales have been established to different types of primary tumor BM. However, there is a high variability between them, and their characteristics have not been described altogether yet. We aim to summarize the features of the existent GPA-derived scales and to compare their predictor factors and their uses in clinical setting. Medline was searched from inception until January 2023 to identify studies related to the development, update, or validation of GPA. The initial search yielded 1,083 results. 16 original studies and 16 validation studies were included, comprising a total of 33,348 patients. 13 different scales were assessed, including: GPA, Diagnosis-Specific GPA, Extracranial Score, Lung-molGPA, Updated Renal GPA, Updated Gastrointestinal GPA, Modified Breast GPA, Integrated Melanoma GPA, Melanoma Mol GPA, Sarcoma GPA, Hepatocellular Carcinoma GPA, Colorectal Cancer GPA, and Uterine Cancer GPA. The most prevalent prognostic predictors were age, Karnofsky Performance Status, number of BM, and presence or absence of extracranial metastases. Treatment modalities consisted of whole brain radiation therapy, stereotactic radiosurgery, surgery, cranial radiotherapy, gamma knife radiosurgery, and BRAF inhibitor therapy. Median survival rates with no treatment and with a specific treatment ranged from 6.1 weeks to 33 months and from 3.1 to 21 months, respectively. Original GPA and GPA-derived scales are valid prognostic tools, but with heterogeneous survival results when compared to each other. More studies are needed to improve scientific evidence of these scales.
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Affiliation(s)
| | | | | | | | - Eliseu Becco Neto
- Division of Neurosurgery, University of São Paulo, São Paulo, Brazil
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Bellur S, Khosla AA, Ozair A, Kotecha R, McDermott MW, Ahluwalia MS. Management of Brain Metastases: A Review of Novel Therapies. Semin Neurol 2023; 43:845-858. [PMID: 38011864 DOI: 10.1055/s-0043-1776782] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Brain metastases (BMs) represent the most common intracranial tumors in adults, and most commonly originate from lung, followed by breast, melanoma, kidney, and colorectal cancer. Management of BM is individualized based on the size and number of brain metastases, the extent of extracranial disease, the primary tumor subtype, neurological symptoms, and prior lines of therapy. Until recently, treatment strategies were limited to local therapies, like surgical resection and radiotherapy, the latter in the form of whole-brain radiotherapy or stereotactic radiosurgery. The next generation of local strategies includes laser interstitial thermal therapy, magnetic hyperthermic therapy, post-resection brachytherapy, and focused ultrasound. New targeted therapies and immunotherapies with documented intracranial activity have transformed clinical outcomes. Novel systemic therapies with intracranial utility include new anaplastic lymphoma kinase inhibitors like brigatinib and ensartinib; selective "rearranged during transfection" inhibitors like selpercatinib and pralsetinib; B-raf proto-oncogene inhibitors like encorafenib and vemurafenib; Kirsten rat sarcoma viral oncogene inhibitors like sotorasib and adagrasib; ROS1 gene rearrangement (ROS1) inhibitors, anti-neurotrophic tyrosine receptor kinase agents like larotrectinib and entrectinib; anti-human epidermal growth factor receptor 2/epidermal growth factor receptor exon 20 agent like poziotinib; and antibody-drug conjugates like trastuzumab-emtansine and trastuzumab-deruxtecan. This review highlights the modern multidisciplinary management of BM, emphasizing the integration of systemic and local therapies.
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Affiliation(s)
- Shreyas Bellur
- Miami Cancer Institute, Baptist Health South Florida, Miami, Florida
| | | | - Ahmad Ozair
- Miami Cancer Institute, Baptist Health South Florida, Miami, Florida
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Rupesh Kotecha
- Miami Cancer Institute, Baptist Health South Florida, Miami, Florida
- Herbert Wertheim College of Medicine, Florida International University, Miami, Florida
| | - Michael W McDermott
- Herbert Wertheim College of Medicine, Florida International University, Miami, Florida
- Miami Neuroscience Institute, Baptist Health South Florida, Miami, Florida
| | - Manmeet S Ahluwalia
- Miami Cancer Institute, Baptist Health South Florida, Miami, Florida
- Herbert Wertheim College of Medicine, Florida International University, Miami, Florida
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Pelizzari G, Bertoli E, Buriolla S, Vitale MG, Basile D, Palmero L, Zara D, Iacono D, Andrea F, Pascoletti G, Bolzonello S, Garutti M, Fasola G, Puglisi F, Minisini AM. Estimating survival in patients with melanoma brain metastases: prognostic value of lactate dehydrogenase. Melanoma Res 2023; 33:398-405. [PMID: 37402350 DOI: 10.1097/cmr.0000000000000907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/06/2023]
Abstract
Patients with melanoma brain metastases (MBM) have poor prognosis, albeit advances in locoregional and systemic treatments. The melanoma-specific Graded Prognostic Assessment (GPA) effectively stratifies survival for patients with MBM. Nevertheless, lactate dehydrogenase (LDH), a well known prognostic factor for patients with melanoma, is not represented in the GPA scores and might add prognostic information for patients with MBM. In this study, 150 consecutive patients with MBM were retrospectively analyzed with the aim of evaluating independent prognostic factors for MBM patients, including LDH. Furthermore, we implemented a disease-specific prognostic score and estimated survival according to treatment modalities. On the basis of multivariable Cox regression analyses, six prognostic factors (age, BRAF status, number of MBM, number of extracranial metastatic sites, performance status, and LDH level) resulted statistically significant in terms of survival and were combined in a prognostic score to stratify patients in distinct prognostic groups ( P < 0.0001). Among treatment modalities, a multimodal approach with stereotactic radiosurgery or neurosurgery associated with systemic therapy showed the best outcome (median overall survival: 12.32 months, 95% confidence interval, 7.92-25.30). This is the first study to demonstrate that LDH has independent prognostic value for patients with MBM and might be used to improve prognostic stratification, albeit external validation is mandatory. Survival of patients with MBM is affected by both disease-specific risk factors and treatment modalities, with locoregional treatments associated with better outcomes.
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Affiliation(s)
- Giacomo Pelizzari
- Department of Oncology, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC)
| | - Elisa Bertoli
- Department of Medicine (DAME), University of Udine, Udine
- Department of Medical Oncology, CRO Aviano National Cancer Institute IRCSS, Aviano
| | - Silvia Buriolla
- Department of Oncology, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC)
- Department of Medicine (DAME), University of Udine, Udine
| | - Maria Grazia Vitale
- Department of Melanoma, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori IRCCS Fondazione Pascale, Napoli
| | - Debora Basile
- Department of Medical Oncology, San Giovanni di Dio Hospital, Crotone, Italy
| | - Lorenza Palmero
- Department of Medicine (DAME), University of Udine, Udine
- Department of Medical Oncology, CRO Aviano National Cancer Institute IRCSS, Aviano
| | - Diego Zara
- Department of Medicine (DAME), University of Udine, Udine
- Department of Medical Oncology, CRO Aviano National Cancer Institute IRCSS, Aviano
| | - Donatella Iacono
- Department of Oncology, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC)
| | - Freschi Andrea
- Department of Medical Oncology, CRO Aviano National Cancer Institute IRCSS, Aviano
| | - Gaetano Pascoletti
- Department of Oncology, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC)
| | - Silvia Bolzonello
- Department of Medical Oncology, CRO Aviano National Cancer Institute IRCSS, Aviano
| | - Mattia Garutti
- Department of Medical Oncology, CRO Aviano National Cancer Institute IRCSS, Aviano
| | - Gianpiero Fasola
- Department of Oncology, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC)
| | - Fabio Puglisi
- Department of Medicine (DAME), University of Udine, Udine
- Department of Medical Oncology, CRO Aviano National Cancer Institute IRCSS, Aviano
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Vasudevan HN, Delley C, Chen WC, Mirchia K, Pan S, Shukla P, Aabedi AA, Nguyen MP, Morshed RA, Young JS, Boreta L, Fogh SE, Nakamura JL, Theodosopoulos PV, Phillips J, Hervey-Jumper SL, Daras M, Pike L, Aghi MK, Tsai K, Raleigh DR, Braunstein SE, Abate AR. Molecular Features of Resected Melanoma Brain Metastases, Clinical Outcomes, and Responses to Immunotherapy. JAMA Netw Open 2023; 6:e2329186. [PMID: 37589977 PMCID: PMC10436135 DOI: 10.1001/jamanetworkopen.2023.29186] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Accepted: 07/08/2023] [Indexed: 08/18/2023] Open
Abstract
Importance Central nervous system (CNS)-penetrant systemic therapies have significantly advanced care for patients with melanoma brain metastases. However, improved understanding of the molecular landscape and microenvironment of these lesions is needed to both optimize patient selection and advance treatment approaches. Objective To evaluate how bulk and single-cell genomic features of melanoma brain metastases are associated with clinical outcome and treatment response. Design, Setting, and Participants This cohort study analyzed bulk DNA sequencing and single nuclear RNA-sequencing data from resected melanoma brain metastases and included 94 consecutive patients with a histopathologically confirmed diagnosis of melanoma brain metastasis who underwent surgical resection at a single National Comprehensive Cancer Network cancer center in San Francisco, California, from January 1, 2009, to December 31, 2022. Exposure A Clinical Laboratory Improvement Amendments-certified targeted sequencing assay was used to analyze tumor resection specimens, with a focus on BRAF V600E alteration. For frozen pathologic specimens from CNS treatment-naive patients undergoing surgical resection, commercial single nuclear RNA sequencing approaches were used. Main Outcomes and Measures The primary outcome was overall survival (OS). Secondary outcomes included CNS progression-free survival (PFS), microenvironmental composition with decreased T-cell and macrophage populations, and responses to immunotherapy. Results To correlate molecular status with clinical outcome, Kaplan-Meier survival analysis of 94 consecutive patients (median age, 64 years [range, 24-82 years]; 70 men [74%]) with targeted BRAF alteration testing showed worse median intracranial PFS (BRAF variant: 3.6 months [IQR, 0.1-30.6 months]; BRAF wildtype: 11.0 months [IQR, 0.8-81.5 months]; P < .001) and OS (BRAF variant: 9.8 months [IQR, 2.5-69.4 months]; BRAF wildtype: 23.2 months [IQR, 1.1-102.5 months]; P = .005; log-rank test) in BRAF V600E variant tumors. Multivariable Cox proportional hazards regression analysis revealed that BRAF V600E status was an independent variable significantly associated with both PFS (hazard ratio [HR], 2.65; 95% CI, 1.54-4.57; P < .001) and OS (HR, 1.96; 95% CI, 1.08-3.55; P = .03). For the 45 patients with resected melanoma brain metastases undergoing targeted DNA sequencing, molecular classification recapitulated The Cancer Genome Atlas groups (NRAS variant, BRAF variant, NF1 variant, and triple wildtype) with no subtype enrichment within the brain metastasis cohort. On a molecular level, BRAF V600E variant lesions were found to have a significantly decreased tumor mutation burden. Moreover, single nuclear RNA sequencing of treatment-naive BRAF V600E variant (n = 3) brain metastases compared with BRAF wildtype (n = 3) brain metastases revealed increased immune cell populations in BRAF wildtype tumors (mean [SD], 11% [4.1%] vs 3% [1.6%] CD45-positive cells; P = .04). Survival analysis of postoperative immunotherapy responses by BRAF status revealed that BRAF wildtype lesions were associated with a response to checkpoint inhibition (median OS: with immunotherapy, undefined; without immunotherapy, 13.0 months [range, 1.1-61.7 months]; P = .001; log-rank test) while BRAF variant lesions (median OS: with immunotherapy, 9.8 months [range, 2.9-39.8 months]; without immunotherapy, 9.5 months [range, 2.5-67.2 months]; P = .81; log-rank test) were not. Conclusions and Relevance This molecular analysis of patients with resected melanoma brain metastases found that BRAF V600E alteration is an important translational biomarker associated with worse clinical outcomes, differential microenvironmental composition, and benefit from immunotherapy. Patients with BRAF V600E variant melanoma brain metastases may thus benefit from alternative CNS-penetrant systemic regimens.
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Affiliation(s)
- Harish N. Vasudevan
- Department of Radiation Oncology, University of California, San Francisco
- Department of Neurological Surgery, University of California, San Francisco
| | - Cyrille Delley
- Department of Bioengineering, University of California, San Francisco
| | - William C. Chen
- Department of Radiation Oncology, University of California, San Francisco
| | - Kanish Mirchia
- Department of Pathology, University of California, San Francisco
| | - Sixuan Pan
- Department of Bioengineering, University of California, San Francisco
| | - Poojan Shukla
- Department of Neurological Surgery, University of California, San Francisco
| | - Alex A. Aabedi
- Department of Neurological Surgery, University of California, San Francisco
| | - Minh P. Nguyen
- Department of Radiation Oncology, University of California, San Francisco
| | - Ramin A. Morshed
- Department of Neurological Surgery, University of California, San Francisco
| | - Jacob S. Young
- Department of Neurological Surgery, University of California, San Francisco
| | - Lauren Boreta
- Department of Radiation Oncology, University of California, San Francisco
| | - Shannon E. Fogh
- Department of Radiation Oncology, University of California, San Francisco
| | - Jean L. Nakamura
- Department of Radiation Oncology, University of California, San Francisco
| | | | - Joanna Phillips
- Department of Pathology, University of California, San Francisco
| | | | - Mariza Daras
- Department of Neurological Surgery, University of California, San Francisco
| | - Luke Pike
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Manish K. Aghi
- Department of Neurological Surgery, University of California, San Francisco
| | - Katy Tsai
- Department of Hematology/Oncology, University of California, San Francisco
| | - David R. Raleigh
- Department of Radiation Oncology, University of California, San Francisco
- Department of Neurological Surgery, University of California, San Francisco
| | | | - Adam R. Abate
- Department of Bioengineering, University of California, San Francisco
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11
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Sperduto PW, Salama AKS, Anders C. Progress for patients with melanoma brain metastases. Neuro Oncol 2023; 25:1321-1322. [PMID: 36883201 PMCID: PMC10326485 DOI: 10.1093/neuonc/noad050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Indexed: 03/09/2023] Open
Affiliation(s)
- Paul W Sperduto
- Department of Radiation Oncology, Duke University Medical
Center, Durham, North Carolina, USA
| | - April K S Salama
- Division of Medical Oncology, Department of Medicine, Duke University
Medical Center, Durham, North Carolina, USA
| | - Carey Anders
- Division of Medical Oncology, Department of Medicine, Duke University
Medical Center, Durham, North Carolina, USA
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12
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Wu Q, Zhang X, Li H, Tang L, Zeng Y, Lin J, Chen Y, Li J. A modified melanoma-molGPA scoring model: assessment of survival after and efficacy of different radiotherapy modalities in patients with melanoma brain metastases. Discov Oncol 2023; 14:116. [PMID: 37382755 DOI: 10.1007/s12672-023-00722-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 06/08/2023] [Indexed: 06/30/2023] Open
Abstract
PURPOSE Patients with malignant melanoma brain metastases (MBMs) have poor prognoses. For MBMs, the Melanoma-molGPA is the most widely used predictive score, but its predictive value remains uncertain in patients fully treated with radiotherapy. We identified MBMs prognostic factors and modified the prognostic scoring model. METHODS We retrospectively analyzed patients diagnosed with MBMs between December 2010 and November 2021 for prognostic factors influencing overall survival (OS) by univariate and multivariate analyses. Nomogram plots were based on Cox regression modeling. We evaluated overall survival (OS) using Kaplan-Meier survival curves and log-rank tests. RESULTS The median OS (mOS) was 7.9 months. On multivariate analysis, BRAF mutation status (p < 0.001), number of brain metastases (BM) (p < 0.001), presence of liver metastases (p < 0.001), brain metastases with a midline shift (p = 0.003), Karnofsky Performance Score (p = 0.02), and lymphocyte-to-monocyte ratio (p < 0.0001) were independent OS predictors. These were incorporated into a modified risk-stratification model. Overall, whole-brain radiotherapy (WBRT) did not significantly affect mOS (mOS, 6.89 vs. 8.83 months; p = 0.07). After risk stratification using our model, WBRT resulted in no significant survival benefit in the low-risk group (mOS 10.07 vs. 13.1 months; p = 0.71) but significantly worse prognosis in the high-risk group (mOS, 2.37 vs. 6.92 months; p = 0.026). CONCLUSION We propose a modified model that accurately distinguishes the prognosis of patients with MBMs and guides decision-making for radiotherapy. Based on this novel model, WBRT should be cautiously selected for high-risk patients.
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Affiliation(s)
- Qian Wu
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Xueqing Zhang
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Hui Li
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Lirui Tang
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Yibin Zeng
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Jing Lin
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Yu Chen
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Jinluan Li
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
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13
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Peña-Pino I, Chen CC. Stereotactic Radiosurgery as Treatment for Brain Metastases: An Update. Asian J Neurosurg 2023; 18:246-257. [PMID: 37397044 PMCID: PMC10310446 DOI: 10.1055/s-0043-1769754] [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: 07/04/2023] Open
Abstract
Stereotactic radiosurgery (SRS) is a mainstay treatment option for brain metastasis (BM). While guidelines for SRS use have been outlined by professional societies, consideration of these guidelines should be weighed in the context of emerging literature, novel technology platforms, and contemporary treatment paradigms. Here, we review recent advances in prognostic scale development for SRS-treated BM patients and survival outcomes as a function of the number of BM and cumulative intracranial tumor volume. Focus is placed on the role of stereotactic laser thermal ablation in the management of BM that recur after SRS and the management of radiation necrosis. Neoadjuvant SRS prior to surgical resection as a means of minimizing leptomeningeal spread is also discussed.
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Affiliation(s)
- Isabela Peña-Pino
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota, United States
| | - Clark C. Chen
- Department of Neurosurgery, University of Minnesota, Minneapolis, Minnesota, United States
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14
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Carpenter DJ, Leng J, Arshad M, Giles W, Kirkpatrick JP, Floyd SR, Chmura SJ, Salama JK, Hong JC. Intracranial and Extracranial Progression and Their Correlation With Overall Survival After Stereotactic Radiosurgery in a Multi-institutional Cohort With Brain Metastases. JAMA Netw Open 2023; 6:e2310117. [PMID: 37099292 PMCID: PMC10134007 DOI: 10.1001/jamanetworkopen.2023.10117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 03/13/2023] [Indexed: 04/27/2023] Open
Abstract
Importance Clinical trials for metastatic malignant neoplasms are increasingly being extended to patients with brain metastases. Despite the preeminence of progression-free survival (PFS) as a primary oncologic end point, the correlation of intracranial progression (ICP) and extracranial progression (ECP) events with overall survival (OS) is poorly understood for patients with brain metastases following stereotactic radiosurgery (SRS). Objective To determine the correlation of ICP and ECP with OS among patients with brain metastases completing an initial SRS course. Design, Setting, and Participants This multi-institutional retrospective cohort study was conducted from January 1, 2015, to December 31, 2020. We included patients who completed an initial course of SRS for brain metastases during the study period, including receipt of single and/or multifraction SRS, prior whole-brain radiotherapy, and brain metastasis resection. Data analysis was performed on November 15, 2022. Exposures Non-OS end points included intracranial PFS, extracranial PFS, PFS, time to ICP, time to ECP, and any time to progression. Progression events were radiologically defined, incorporating multidisciplinary clinical consensus. Main Outcomes and Measures The primary outcome was correlation of surrogate end points to OS. Clinical end points were estimated from time of SRS completion via the Kaplan-Meier method, while end-point correlation to OS was measured using normal scores rank correlation with the iterative multiple imputation approach. Results This study included 1383 patients, with a mean age of 63.1 years (range, 20.9-92.8 years) and a median follow-up of 8.72 months (IQR, 3.25-19.68 months). The majority of participants were White (1032 [75%]), and more than half (758 [55%]) were women. Common primary tumor sites included the lung (757 [55%]), breast (203 [15%]), and skin (melanoma; 100 [7%]). Intracranial progression was observed in 698 patients (50%), preceding 492 of 1000 observed deaths (49%). Extracranial progression was observed in 800 patients (58%), preceding 627 of 1000 observed deaths (63%). Irrespective of deaths, 482 patients (35%) experienced both ICP and ECP, 534 (39%) experienced ICP (216 [16%]) or ECP (318 [23%]), and 367 (27%) experienced neither. The median OS was 9.93 months (95% CI, 9.08-11.05 months). Intracranial PFS had the highest correlation with OS (ρ = 0.84 [95% CI, 0.82-0.85]; median, 4.39 months [95% CI, 4.02-4.92 months]). Time to ICP had the lowest correlation with OS (ρ = 0.42 [95% CI, 0.34-0.50]) and the longest median time to event (median, 8.76 months [95% CI, 7.70-9.48 months]). Across specific primary tumor types, correlations of intracranial PFS and extracranial PFS with OS were consistently high despite corresponding differences in median outcome durations. Conclusions and Relevance The results of this cohort study of patients with brain metastases completing SRS suggest that intracranial PFS, extracranial PFS, and PFS had the highest correlations with OS and time to ICP had the lowest correlation with OS. These data may inform future patient inclusion and end-point selection for clinical trials.
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Affiliation(s)
- David J. Carpenter
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Jim Leng
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Muzamil Arshad
- Department of Radiation Oncology, University of Chicago Medical Center, Chicago, Illinois
| | - Will Giles
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - John P. Kirkpatrick
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - Scott R. Floyd
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Steven J. Chmura
- Department of Radiation Oncology, University of Chicago Medical Center, Chicago, Illinois
| | - Joseph K. Salama
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
- Radiation Oncology Clinical Service, Durham Veterans Affairs Health Care System, Durham, North Carolina
| | - Julian C. Hong
- Department of Radiation Oncology, University of California, San Francisco
- Bakar Computational Health Sciences Institute, University of California, San Francisco
- Joint Program in Computational Precision Health, University of California, San Francisco, and University of California, Berkeley
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15
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Kępka L. Re-Whole Brain Radiotherapy for Brain Metastases: How to Evaluate an Outcome of Repeat Treatment When Its First Use Is Debatable. Cancers (Basel) 2023; 15:cancers15061790. [PMID: 36980676 PMCID: PMC10046404 DOI: 10.3390/cancers15061790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 03/13/2023] [Accepted: 03/14/2023] [Indexed: 03/18/2023] Open
Abstract
Recently, a review on a pertinent issue of repeat whole-brain radiotherapy (re-WBRT) for recurring brain metastases was published [...]
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Affiliation(s)
- Lucyna Kępka
- Department of Radiotherapy, Military Institute of Medicine-National Research Institute, 04-141 Warsaw, Poland
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16
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Pellerino A, Garbossa D, Rudà R, Soffietti R. The role of the neurologist in the diagnosis and treatment of brain metastases and carcinomatous meningitis. Rev Neurol (Paris) 2023; 179:464-474. [PMID: 36990824 DOI: 10.1016/j.neurol.2023.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 03/01/2023] [Indexed: 03/29/2023]
Abstract
Traditionally, in the past, most of central nervous system metastases from solid tumors were associated with an advanced phase of the disease needing palliation only, while to date they increasingly develop as an early and/or solitary relapse in patients with the systemic disease under control. This review will cover all the aspects of a modern management of brain and leptomeningeal metastases from diagnosis to the different therapeutic options, either local (surgery, stereotactic radiosurgery, whole-brain radiotherapy with hippocampal avoidance) or systemic. Particular emphasis is reserved to the new-targeted drugs, that allow to target specifically driver molecular alterations. These new compounds pose new problems in terms of monitoring efficacy and adverse events, but increasingly they allow improvement of outcome in comparison to historical controls.
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17
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Derks SHAE, Jongen JLM, van der Meer EL, Ho LS, Slagter C, Joosse A, de Jonge MJA, Schouten JW, Oomen-de Hoop E, van den Bent MJ, van der Veldt AAM. Impact of Novel Treatments in Patients with Melanoma Brain Metastasis: Real-World Data. Cancers (Basel) 2023; 15:cancers15051461. [PMID: 36900253 PMCID: PMC10000692 DOI: 10.3390/cancers15051461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 02/20/2023] [Accepted: 02/22/2023] [Indexed: 03/03/2023] Open
Abstract
BACKGROUND Melanoma brain metastasis (MBM) is associated with poor outcome, but targeted therapies (TTs) and immune checkpoint inhibitors (ICIs) have revolutionized treatment over the past decade. We assessed the impact of these treatments in a real-world setting. METHODS A single-center cohort study was performed at a large, tertiary referral center for melanoma (Erasmus MC, Rotterdam, the Netherlands). Overall survival (OS) was assessed before and after 2015, after which TTs and ICIs were increasingly prescribed. RESULTS There were 430 patients with MBM included; 152 pre-2015 and 278 post-2015. Median OS improved from 4.4 to 6.9 months (HR 0.67, p < 0.001) after 2015. TTs and ICIs prior to MBM diagnosis were associated with poorer median OS as compared to no prior systemic treatment (TTs: 2.0 vs. 10.9 and ICIs: 4.2 vs. 7.9 months, p < 0.001). ICIs directly after MBM diagnosis were associated with improved median OS as compared to no direct ICIs (21.5 vs. 4.2 months, p < 0.001). Stereotactic radiotherapy (SRT; HR 0.49, p = 0.013) and ICIs (HR 0.32, p < 0.001) were independently associated with improved OS. CONCLUSION After 2015, OS significantly improved for patients with MBM, especially with SRT and ICIs. Demonstrating a large survival benefit, ICIs should be considered first after MBM diagnosis, if clinically feasible.
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Affiliation(s)
- Sophie H. A. E. Derks
- Department of Neuro-Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands
- Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands
- Department of Radiology & Nuclear Medicine, Erasmus Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Joost L. M. Jongen
- Department of Neuro-Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands
| | - Edgar L. van der Meer
- Department of Neuro-Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands
| | - Li Shen Ho
- Department of Neuro-Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands
| | - Cleo Slagter
- Department of Radiotherapy, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands
| | - Arjen Joosse
- Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands
| | - Maja J. A. de Jonge
- Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands
| | - Joost W. Schouten
- Department of Neurosurgery, Erasmus Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Esther Oomen-de Hoop
- Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands
| | - Martin J. van den Bent
- Department of Neuro-Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands
| | - Astrid A. M. van der Veldt
- Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands
- Department of Radiology & Nuclear Medicine, Erasmus Medical Center, 3015 GD Rotterdam, The Netherlands
- Correspondence: ; Tel.: +31-10-704-02-52
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18
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Hu J, Xie X, Zhou W, Hu X, Sun X. The emerging potential of quantitative MRI biomarkers for the early prediction of brain metastasis response after stereotactic radiosurgery: a scoping review. Quant Imaging Med Surg 2023; 13:1174-1189. [PMID: 36819250 PMCID: PMC9929394 DOI: 10.21037/qims-22-412] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 11/23/2022] [Indexed: 01/05/2023]
Abstract
Background At present, the simple prognostic models based on clinical information for predicting the treatment outcomes of brain metastases (BMs) are subjective and delayed. Thus, we performed this systematic review of multiple studies to assess the potential of quantitative magnetic resonance imaging (MRI) biomarkers for the early prediction of treatment outcomes of brain metastases with stereotactic radiosurgery (SRS). Methods We systematically searched the PubMed, Embase, Cochrane, Web of Science, and Clinical Trials.gov databases for articles published between February 1, 1991, and April 11, 2022, with no language restrictions. We included studies involving patients with BMs receiving SRS; the included patients were required to have definite pathology of a primary tumor and complete imaging data (pre- and post-SRS). We excluded the articles that included patients who had undergone previous surgery and those that did not include regular follow-up or corresponding MRI scans. Results We identified 2,162 studies, of which 26 were included in our analysis, involving a total of 1,362 participants. All 26 studies explored the relevant MRI parameters to predict the prognosis of patients with BMs who received SRS. The outcomes were generalized according to the relationships between the anatomical/morphological, microstructural, vascular, and metabolic changes and SRS. Generally, with traditional MRI, there are several quantitative prognostic models based on preradiosurgical radiomics that predict the outcome of SRS treatment in local BM control. With the implementation of advanced MRI, the relative apparent diffusion coefficient (ADC), perfusion fraction (f), relative cerebral blood volume (rCBV), relative regional cerebral blood flow (rrCBF), interstitial fluid pressure (IFP), quadratic of time-dependent leakage (Ktrans 2), extracellular extravascular volume (ve), choline/creatine (Cho/Cr), nuclear Overhauser effect (NOE) peak, and intraextracellular water exchange rate constant (kIE ) were confirmed to be indicative of the therapeutic effect of SRS for BMs. Conclusions Quantitative MRI biomarkers extracted from traditional or advanced MRI at different time points, which can represent the anatomical/morphological, microstructural, vascular, and metabolic changes, respectively, have been proposed as promising markers for the early prediction of SRS response in those with BMs. There are some limitations in this review, including the risk of selection bias, the limited number of study objects, the incomparability of the total data, and the subjectivity of the review process.
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Affiliation(s)
- Jiamiao Hu
- Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Xuyun Xie
- Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Weiwen Zhou
- Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Xiao Hu
- Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Xiaonan Sun
- Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
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19
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Álvarez-Prado ÁF, Maas RR, Soukup K, Klemm F, Kornete M, Krebs FS, Zoete V, Berezowska S, Brouland JP, Hottinger AF, Daniel RT, Hegi ME, Joyce JA. Immunogenomic analysis of human brain metastases reveals diverse immune landscapes across genetically distinct tumors. Cell Rep Med 2023; 4:100900. [PMID: 36652909 PMCID: PMC9873981 DOI: 10.1016/j.xcrm.2022.100900] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 09/20/2022] [Accepted: 12/19/2022] [Indexed: 01/19/2023]
Abstract
Brain metastases (BrMs) are the most common form of brain tumors in adults and frequently originate from lung and breast primary cancers. BrMs are associated with high mortality, emphasizing the need for more effective therapies. Genetic profiling of primary tumors is increasingly used as part of the effort to guide targeted therapies against BrMs, and immune-based strategies for the treatment of metastatic cancer are gaining momentum. However, the tumor immune microenvironment (TIME) of BrM is extremely heterogeneous, and whether specific genetic profiles are associated with distinct immune states remains unknown. Here, we perform an extensive characterization of the immunogenomic landscape of human BrMs by combining whole-exome/whole-genome sequencing, RNA sequencing of immune cell populations, flow cytometry, immunofluorescence staining, and tissue imaging analyses. This revealed unique TIME phenotypes in genetically distinct lung- and breast-BrMs, thereby enabling the development of personalized immunotherapies tailored by the genetic makeup of the tumors.
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Affiliation(s)
- Ángel F Álvarez-Prado
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Research Center, 1011 Lausanne, Switzerland; L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland
| | - Roeltje R Maas
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Research Center, 1011 Lausanne, Switzerland; L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland; Neuroscience Research Center, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland; Department of Neurosurgery, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Klara Soukup
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Research Center, 1011 Lausanne, Switzerland
| | - Florian Klemm
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Research Center, 1011 Lausanne, Switzerland
| | - Mara Kornete
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Research Center, 1011 Lausanne, Switzerland
| | - Fanny S Krebs
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Vincent Zoete
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Sabina Berezowska
- Department of Pathology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Jean-Philippe Brouland
- Department of Pathology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Andreas F Hottinger
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland; Brain and Spine Tumor Center, Departments of Clinical Neurosciences and Oncology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Roy T Daniel
- L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland; Department of Neurosurgery, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Monika E Hegi
- L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland; Neuroscience Research Center, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland; Department of Neurosurgery, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Johanna A Joyce
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Research Center, 1011 Lausanne, Switzerland; L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland.
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20
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Fujita J, Tomita Y, Ichimura K, Yamasaki R, Nishigaki S, Nitta Y, Inoue Y, Sotome Y, Kidani N, Muraoka K, Hirotsune N, Nishino S. A Unique Case of Intracranial Amelanotic Melanoma with BRAF V600E Mutation Successfully Treated via Molecular-targeted Therapy. NMC Case Rep J 2023; 10:67-73. [PMID: 37065875 PMCID: PMC10101700 DOI: 10.2176/jns-nmc.2022-0227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 01/10/2023] [Indexed: 04/18/2023] Open
Abstract
Melanoma carries a high risk of brain metastasis. A small subset of metastatic melanomas, known as amelanotic melanomas, does not present black coloration, reflecting a lack of melanin pigmentation. Here, we report a case of B-Raf proto-oncogene (BRAF) V600E mutation associated with a metastatic brain tumor caused by the amelanotic melanoma. A 60-year-old man was transferred to our department following acute onsets of left upper limb paralysis and convulsion. In the brain imaging, multiple lesions in the right frontal lobe and left basal ganglia were detected, and the presence of an enlarged left axillary lymph node was revealed. Consequently, we removed the right frontal lesion and performed a biopsy of the left axillary lymph node. Histological analysis of both specimens indicated an amelanotic melanoma, and genetic testing revealed a BRAF V600E mutation. The residual intracranial lesions were treated with stereotactic radiotherapy and molecular-targeted therapy, with dabrafenib and trametinib as the systemic treatment. Based on the Response Evaluation Criteria in Solid Tumors, we determined that the patient achieved complete remission (CR) under uninterrupted molecular-targeted therapy over a period of 10 months. After the temporary withdrawal of dabrafenib and trametinib to avoid hepatic dysfunction, a new intracranial lesion appeared. CR of this lesion was achieved following reinstatement of the two drugs. These results suggest that, under limited conditions, molecular-targeted therapy can produce a sustained response against the intracranial metastasis of melanoma, and the therapy with reduced dose is still effective against a recurrent case after cessation of the therapy due to the toxicity.
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Affiliation(s)
- Juntaro Fujita
- Department of Neurosurgery and Neuroendovascular Surgery, Hiroshima City Hiroshima Citizens Hospital, Hiroshima, Hiroshima, Japan
| | - Yusuke Tomita
- Department of Neurosurgery and Neuroendovascular Surgery, Hiroshima City Hiroshima Citizens Hospital, Hiroshima, Hiroshima, Japan
- Department of Neurological Surgery, Okayama University Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Okayama, Japan
| | - Koichi Ichimura
- Department of Diagnostic Pathology, Hiroshima City Hiroshima Citizens Hospital, Hiroshima, Hiroshima, Japan
| | - Rie Yamasaki
- Department of Diagnostic Pathology, Hiroshima City Hiroshima Citizens Hospital, Hiroshima, Hiroshima, Japan
| | - Shohei Nishigaki
- Department of Neurosurgery and Neuroendovascular Surgery, Hiroshima City Hiroshima Citizens Hospital, Hiroshima, Hiroshima, Japan
| | - Yuki Nitta
- Department of Neurosurgery and Neuroendovascular Surgery, Hiroshima City Hiroshima Citizens Hospital, Hiroshima, Hiroshima, Japan
| | - Yusuke Inoue
- Department of Neurosurgery and Neuroendovascular Surgery, Hiroshima City Hiroshima Citizens Hospital, Hiroshima, Hiroshima, Japan
| | - Yuta Sotome
- Department of Neurosurgery and Neuroendovascular Surgery, Hiroshima City Hiroshima Citizens Hospital, Hiroshima, Hiroshima, Japan
| | - Naoya Kidani
- Department of Neurosurgery and Neuroendovascular Surgery, Hiroshima City Hiroshima Citizens Hospital, Hiroshima, Hiroshima, Japan
| | - Kenichiro Muraoka
- Department of Neurosurgery and Neuroendovascular Surgery, Hiroshima City Hiroshima Citizens Hospital, Hiroshima, Hiroshima, Japan
| | - Nobuyuki Hirotsune
- Department of Neurosurgery and Neuroendovascular Surgery, Hiroshima City Hiroshima Citizens Hospital, Hiroshima, Hiroshima, Japan
| | - Shigeki Nishino
- Department of Neurosurgery and Neuroendovascular Surgery, Hiroshima City Hiroshima Citizens Hospital, Hiroshima, Hiroshima, Japan
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21
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Carpenter DJ, Fairchild AT, Adamson JD, Fecci PE, Sampson JH, Herndon JE, Torok JA, Mullikin TC, Kim GJ, Reitman ZJ, Kirkpatrick JP, Floyd SR. Outcomes in Patients with Intact and Resected Brain Metastasis Treated with 5-Fraction Stereotactic Radiosurgery. Adv Radiat Oncol 2022; 8:101166. [PMID: 36845614 PMCID: PMC9943776 DOI: 10.1016/j.adro.2022.101166] [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] [Received: 10/16/2022] [Accepted: 12/23/2022] [Indexed: 12/31/2022] Open
Abstract
Purpose Hypofractionated stereotactic radiosurgery (HF-SRS) with or without surgical resection is potentially a preferred treatment for larger or symptomatic brain metastases (BMs). Herein, we report clinical outcomes and predictive factors following HF-SRS. Methods and Materials Patients undergoing HF-SRS for intact (iHF-SRS) or resected (rHF-SRS) BMs from 2008 to 2018 were retrospectively identified. Linear accelerator-based image-guided HF-SRS consisted of 5 fractions at 5, 5.5, or 6 Gy per fraction. Time to local progression (LP), time to distant brain progression (DBP), and overall survival (OS) were calculated. Cox models assessed effect of clinical factors on OS. Fine and Gray's cumulative incidence model for competing events examined effect of factors on LP and DBP. The occurrence of leptomeningeal disease (LMD) was determined. Logistic regression examined predictors of LMD. Results Among 445 patients, median age was 63.5 years; 87% had Karnofsky performance status ≥70. Fifty-three % of patients underwent surgical resection, and 75% received 5 Gy per fraction. Patients with resected BMs had higher Karnofsky performance status (90-100, 41 vs 30%), less extracranial disease (absent, 25 vs 13%), and fewer BMs (multiple, 32 vs 67%). Median diameter of the dominant BM was 3.0 cm (interquartile range, 1.8-3.6 cm) for intact BMs and 4.6 cm (interquartile range, 3.9-5.5 cm) for resected BMs. Median OS was 5.1 months (95% confidence interval [CI], 4.3-6.0) following iHF-SRS and 12.8 months (95% CI, 10.8-16.2) following rHF-SRS (P < .01). Cumulative LP incidence was 14.5% at 18 months (95% CI, 11.4-18.0%), significantly associated with greater total GTV (hazard ratio, 1.12; 95% CI, 1.05-1.20) following iFR-SRS, and with recurrent versus newly diagnosed BMs across all patients (hazard ratio, 2.28; 95% CI, 1.01-5.15). Cumulative DBP incidence was significantly greater following rHF-SRS than iHF-SRS (P = .01), with respective 24-month rates of 50.0 (95% CI, 43.3-56.3) and 35.7% (95% CI, 29.2-42.2). LMD (57 events total; 33% nodular, 67% diffuse) was observed in 17.1% of rHF-SRS and 8.1% of iHF-SRS cases (odds ratio, 2.46; 95% CI, 1.34-4.53). Any radionecrosis and grade 2+ radionecrosis events were observed in 14 and 8% of cases, respectively. Conclusions HF-SRS demonstrated favorable rates of LC and radionecrosis in postoperative and intact settings. Corresponding LMD and RN rates were comparable to those of other studies.
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Affiliation(s)
- David J. Carpenter
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina,Corresponding author: Scott Floyd, MD, PhD
| | | | - Justus D. Adamson
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Peter E. Fecci
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - John H. Sampson
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - James E. Herndon
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, North Carolina
| | - Jordan A. Torok
- Department of Radiation Oncology, St. Clair Hospital Cancer Center, Pittsburgh, Pennsylvania
| | - Trey C. Mullikin
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Grace J. Kim
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Zachary J. Reitman
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - John P. Kirkpatrick
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina,Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - Scott R. Floyd
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
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22
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Marino AC, Fadul CE, Lopes MB, Patel SH, Asthagiri AR. Melanoma brain metastasis mimicking cortical laminar necrosis. Surg Neurol Int 2022; 13:584. [PMID: 36600773 PMCID: PMC9805631 DOI: 10.25259/sni_285_2022] [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: 03/25/2022] [Accepted: 06/24/2022] [Indexed: 12/24/2022] Open
Abstract
Background Metastatic lesions to the brain are common in patients with melanoma. Imaging characteristics can support the diagnosis of metastatic melanoma, but alternative diagnoses should be considered. Case Description Here, we present a case of a 57-year-old man in whom a metastatic melanoma initially mimicked the imaging characteristics of cortical laminar necrosis. Conclusion This comprises the first report of melanoma brain metastasis presenting with these imaging characteristics and emphasizes the importance of maintaining a high index of suspicion for metastatic lesions in patients with known cancer.
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Affiliation(s)
- Alexandria C. Marino
- Department of Neurological Surgery, University of Virginia, Charlottesville, United States.,Corresponding author: Alexandria C. Marino, Department of Neurological Surgery, University of Virginia, Charlottesville, United States.
| | - Camilo E. Fadul
- Department of Neurology, University of Virginia, Charlottesville, United States
| | - M. Beatriz Lopes
- Department of Pathology, University of Virginia, Charlottesville, United States
| | - Sohil Harshad Patel
- Department of Radiology, University of Virginia, Charlottesville, United States
| | - Ashok R. Asthagiri
- Department of Neurological Surgery, University of Virginia, Charlottesville, United States
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23
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Hasanov M, Milton DR, Bea Davies A, Sirmans E, Saberian C, Posada EL, Opusunju S, Gershenwald JE, Torres-Cabala CA, Burton EM, Colen R, Huse JT, Glitza Oliva IC, Chung C, McAleer MF, McGovern SL, Yeboa DN, Kim BYS, Prabhu SS, McCutcheon IE, Weinberg J, Lang FF, Tawbi HA, Li J, Haydu LE, Davies MA, Ferguson SD. Changes In Outcomes And Factors Associated With Survival In Melanoma Patients With Brain Metastases. Neuro Oncol 2022:6889653. [PMID: 36510640 DOI: 10.1093/neuonc/noac251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUD Treatment options for patients with melanoma brain metastasis (MBM) have changed significantly in the last decade. Few studies have evaluated changes in outcomes and factors associated with survival in MBM patients over time. The aim of this study is to evaluate changes in clinical features and overall survival (OS) for MBM patients. METHODS Patients diagnosed with MBMs from 1/1/2009-12/31/2013 (Prior Era; PE) and 1/1/2014-12/31/2018 (Current Era; CE) at The University of Texas MD Anderson Cancer Center were included in this retrospective analysis. The primary outcome measure was OS. Log-rank test assessed differences between groups; multivariable analyses were performed with Cox proportional hazards models and recursive partitioning analysis (RPA). RESULTS 791 MBM patients (PE, n=332; CE, n=459) were included in analysis. Median OS from MBM diagnosis was 10.3 months (95% CI, 8.9 - 12.4) and improved in the CE versus PE (14.4 vs. 10.3 months, P < .001). Elevated serum LDH was the only factor associated with worse OS in both PE and CE patients. Factors associated with survival in CE MBM patients included patient age, primary tumor Breslow thickness, prior immunotherapy, leptomeningeal disease (LMD), symptomatic MBMs, and whole brain radiation therapy (WBRT). Several factors associated with OS in the PE were not significant in the CE. RPA demonstrated that elevated serum LDH and prior immunotherapy treatment are the most important determinants of survival in CE MBM patients. CONCLUSIONS OS and factors associated with OS have changed for MBM patients. This information can inform contemporary patient management and clinical investigations.
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Affiliation(s)
- Merve Hasanov
- Department of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Denái R Milton
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Alicia Bea Davies
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Elizabeth Sirmans
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Chantal Saberian
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Eliza L Posada
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Sylvia Opusunju
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jeffrey E Gershenwald
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Elizabeth M Burton
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Rivka Colen
- Center for Artificial Intelligence Innovation in Medical Imaging, University of Pittsburg, Pittsburg, PA
| | - Jason T Huse
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Isabella C Glitza Oliva
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Caroline Chung
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Mary Frances McAleer
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Susan L McGovern
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Debra N Yeboa
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Betty Y S Kim
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Sujit S Prabhu
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Ian E McCutcheon
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jeffrey Weinberg
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Frederick F Lang
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Hussein A Tawbi
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jing Li
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Lauren E Haydu
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Michael A Davies
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Sherise D Ferguson
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX
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24
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The Analysis of Trends in Survival for Patients with Melanoma Brain Metastases with Introduction of Novel Therapeutic Options before the Era of Combined Immunotherapy-Multicenter Italian-Polish Report. Cancers (Basel) 2022; 14:cancers14235763. [PMID: 36497248 PMCID: PMC9737166 DOI: 10.3390/cancers14235763] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/17/2022] [Accepted: 11/21/2022] [Indexed: 11/25/2022] Open
Abstract
Stage IV melanoma patients develop melanoma brain metastases (MBM) in 50% of cases. Their prognosis is improving, and its understanding outside the context of clinical trials is relevant. We have retrospectively analyzed the clinical data, course of treatment, and outcomes of 531 subsequent stage IV melanoma patients with BM treated in five reference Italian and Polish melanoma centers between 2014 and 2021. Patients with MBM after 2017 had a better prognosis, with a significantly improved median of overall survival (OS) after 2017 in the worst mol-GPA prognostic groups (mol-GPA ≤ 2): a median OS >6 months and HR 0.76 vs. those treated before 2017 (CI: 0.60−0.97, p = 0.027). In our prognostic model, mol-GPA was highly predictive for survival, and symptoms without steroid use did not have prognostic significance. Local therapy significantly improved survival regardless of the year of diagnosis (treated before or after 2017), with median survival >12 months. Systemic therapy improved outcomes when it was combined with local therapy. Local surgery was associated with improved OS regardless of the timing related to treatment start (i.e., before or after 30 days from MBM diagnosis). Local and systemic treatment significantly prolong survival for the poorest mol-GPA prognosis. Use of modern treatment modalities is justified in all mol-GPA prognostic groups.
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25
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Jalalifar SA, Soliman H, Sahgal A, Sadeghi-Naini A. A Self-Attention-Guided 3D Deep Residual Network With Big Transfer to Predict Local Failure in Brain Metastasis After Radiotherapy Using Multi-Channel MRI. IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE 2022; 11:13-22. [PMID: 36478770 PMCID: PMC9721353 DOI: 10.1109/jtehm.2022.3219625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 10/15/2022] [Accepted: 11/02/2022] [Indexed: 11/06/2022]
Abstract
A noticeable proportion of larger brain metastases (BMs) are not locally controlled after stereotactic radiotherapy, and it may take months before local progression is apparent on standard follow-up imaging. This work proposes and investigates new explainable deep-learning models to predict the radiotherapy outcome for BM. A novel self-attention-guided 3D residual network is introduced for predicting the outcome of local failure (LF) after radiotherapy using the baseline treatment-planning MRI. The 3D self-attention modules facilitate capturing long-range intra/inter slice dependencies which are often overlooked by convolution layers. The proposed model was compared to a vanilla 3D residual network and 3D residual network with CBAM attention in terms of performance in outcome prediction. A training recipe was adapted for the outcome prediction models during pretraining and training the down-stream task based on the recently proposed big transfer principles. A novel 3D visualization module was coupled with the model to demonstrate the impact of various intra/peri-lesion regions on volumetric multi-channel MRI upon the network's prediction. The proposed self-attention-guided 3D residual network outperforms the vanilla residual network and the residual network with CBAM attention in accuracy, F1-score, and AUC. The visualization results show the importance of peri-lesional characteristics on treatment-planning MRI in predicting local outcome after radiotherapy. This study demonstrates the potential of self-attention-guided deep-learning features derived from volumetric MRI in radiotherapy outcome prediction for BM. The insights obtained via the developed visualization module for individual lesions can possibly be applied during radiotherapy planning to decrease the chance of LF.
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Affiliation(s)
- Seyed Ali Jalalifar
- Department of Electrical Engineering and Computer ScienceLassonde School of EngineeringYork University Toronto ON M3J 1P3 Canada
| | - Hany Soliman
- Physical Sciences PlatformSunnybrook Research Institute, Sunnybrook Health Sciences Centre Toronto ON M4N 3M5 Canada
- Department of Radiation OncologyOdette Cancer CentreSunnybrook Health Sciences Centre Toronto ON M4N 3M5 Canada
- Department of Radiation OncologyUniversity of Toronto Toronto ON M5T 1P5 Canada
| | - Arjun Sahgal
- Physical Sciences PlatformSunnybrook Research Institute, Sunnybrook Health Sciences Centre Toronto ON M4N 3M5 Canada
- Department of Radiation OncologyOdette Cancer CentreSunnybrook Health Sciences Centre Toronto ON M4N 3M5 Canada
- Department of Radiation OncologyUniversity of Toronto Toronto ON M5T 1P5 Canada
| | - Ali Sadeghi-Naini
- Department of Electrical Engineering and Computer ScienceLassonde School of EngineeringYork University Toronto ON M3J 1P3 Canada
- Physical Sciences PlatformSunnybrook Research Institute, Sunnybrook Health Sciences Centre Toronto ON M4N 3M5 Canada
- Department of Radiation OncologyOdette Cancer CentreSunnybrook Health Sciences Centre Toronto ON M4N 3M5 Canada
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26
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Jalalifar SA, Soliman H, Sahgal A, Sadeghi‐Naini A. Predicting the outcome of radiotherapy in brain metastasis by integrating the clinical and MRI-based deep learning features. Med Phys 2022; 49:7167-7178. [PMID: 35727568 PMCID: PMC10083982 DOI: 10.1002/mp.15814] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Revised: 05/28/2022] [Accepted: 05/30/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND A considerable proportion of metastatic brain tumors progress locally despite stereotactic radiation treatment, and it can take months before such local progression is evident on follow-up imaging. Prediction of radiotherapy outcome in terms of tumor local failure is crucial for these patients and can facilitate treatment adjustments or allow for early salvage therapies. PURPOSE In this work, a novel deep learning architecture is introduced to predict the outcome of local control/failure in brain metastasis treated with stereotactic radiation therapy using treatment-planning magnetic resonance imaging (MRI) and standard clinical attributes. METHODS At the core of the proposed architecture is an InceptionResentV2 network to extract distinct features from each MRI slice for local outcome prediction. A recurrent or transformer network is integrated into the architecture to incorporate spatial dependencies between MRI slices into the predictive modeling. A visualization method based on prediction difference analysis is coupled with the deep learning model to illustrate how different regions of each lesion on MRI contribute to the model's prediction. The model was trained and optimized using the data acquired from 99 patients (116 lesions) and evaluated on an independent test set of 25 patients (40 lesions). RESULTS The results demonstrate the promising potential of the MRI deep learning features for outcome prediction, outperforming standard clinical variables. The prediction model with only clinical variables demonstrated an area under the receiver operating characteristic curve (AUC) of 0.68. The MRI deep learning models resulted in AUCs in the range of 0.72 to 0.83 depending on the mechanism to integrate information from MRI slices of each lesion. The best prediction performance (AUC = 0.86) was associated with the model that combined the MRI deep learning features with clinical variables and incorporated the inter-slice dependencies using a long short-term memory recurrent network. The visualization results highlighted the importance of tumor/lesion margins in local outcome prediction for brain metastasis. CONCLUSIONS The promising results of this study show the possibility of early prediction of radiotherapy outcome for brain metastasis via deep learning of MRI and clinical attributes at pre-treatment and encourage future studies on larger groups of patients treated with other radiotherapy modalities.
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Affiliation(s)
- Seyed Ali Jalalifar
- Department of Electrical Engineering and Computer ScienceLassonde School of EngineeringYork UniversityTorontoOntarioCanada
| | - Hany Soliman
- Department of Radiation OncologyOdette Cancer CentreSunnybrook Health Sciences CentreTorontoOntarioCanada
- Department of Radiation OncologyUniversity of TorontoTorontoOntarioCanada
- Physical Sciences PlatformSunnybrook Research InstituteSunnybrook Health Sciences CentreTorontoOntarioCanada
| | - Arjun Sahgal
- Department of Radiation OncologyOdette Cancer CentreSunnybrook Health Sciences CentreTorontoOntarioCanada
- Department of Radiation OncologyUniversity of TorontoTorontoOntarioCanada
- Physical Sciences PlatformSunnybrook Research InstituteSunnybrook Health Sciences CentreTorontoOntarioCanada
| | - Ali Sadeghi‐Naini
- Department of Electrical Engineering and Computer ScienceLassonde School of EngineeringYork UniversityTorontoOntarioCanada
- Department of Radiation OncologyOdette Cancer CentreSunnybrook Health Sciences CentreTorontoOntarioCanada
- Physical Sciences PlatformSunnybrook Research InstituteSunnybrook Health Sciences CentreTorontoOntarioCanada
- Department of Medical BiophysicsUniversity of TorontoTorontoOntarioCanada
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Prognostic Model for Intracranial Progression after Stereotactic Radiosurgery: A Multicenter Validation Study. Cancers (Basel) 2022; 14:cancers14215186. [PMID: 36358606 PMCID: PMC9657742 DOI: 10.3390/cancers14215186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/11/2022] [Accepted: 10/14/2022] [Indexed: 11/17/2022] Open
Abstract
Stereotactic radiosurgery (SRS) is a standard of care for many patients with brain metastases. To optimize post-SRS surveillance, this study aimed to validate a previously published nomogram predicting post-SRS intracranial progression (IP). We identified consecutive patients completing an initial course of SRS across two institutions between July 2017 and December 2020. Patients were classified as low- or high-risk for post-SRS IP per a previously published nomogram. Overall survival (OS) and freedom from IP (FFIP) were assessed via the Kaplan−Meier method. Assessment of parameters impacting FFIP was performed with univariable and multivariable Cox proportional hazard models. Among 890 patients, median follow-up was 9.8 months (95% CI 9.1−11.2 months). In total, 47% had NSCLC primary tumors, and 47% had oligometastatic disease (defined as ≤5 metastastic foci) at the time of SRS. Per the IP nomogram, 53% of patients were deemed high-risk. For low- and high-risk patients, median FFIP was 13.9 months (95% CI 11.1−17.1 months) and 7.6 months (95% CI 6.4−9.3 months), respectively, and FFIP was superior in low-risk patients (p < 0.0001). This large multisite BM cohort supports the use of an IP nomogram as a quick and simple means of stratifying patients into low- and high-risk groups for post-SRS IP.
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28
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Aizer AA, Lamba N, Ahluwalia MS, Aldape K, Boire A, Brastianos PK, Brown PD, Camidge DR, Chiang VL, Davies MA, Hu LS, Huang RY, Kaufmann T, Kumthekar P, Lam K, Lee EQ, Lin NU, Mehta M, Parsons M, Reardon DA, Sheehan J, Soffietti R, Tawbi H, Weller M, Wen PY. Brain metastases: A Society for Neuro-Oncology (SNO) consensus review on current management and future directions. Neuro Oncol 2022; 24:1613-1646. [PMID: 35762249 PMCID: PMC9527527 DOI: 10.1093/neuonc/noac118] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
Brain metastases occur commonly in patients with advanced solid malignancies. Yet, less is known about brain metastases than cancer-related entities of similar incidence. Advances in oncologic care have heightened the importance of intracranial management. Here, in this consensus review supported by the Society for Neuro-Oncology (SNO), we review the landscape of brain metastases with particular attention to management approaches and ongoing efforts with potential to shape future paradigms of care. Each coauthor carried an area of expertise within the field of brain metastases and initially composed, edited, or reviewed their specific subsection of interest. After each subsection was accordingly written, multiple drafts of the manuscript were circulated to the entire list of authors for group discussion and feedback. The hope is that the these consensus guidelines will accelerate progress in the understanding and management of patients with brain metastases, and highlight key areas in need of further exploration that will lead to dedicated trials and other research investigations designed to advance the field.
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Affiliation(s)
- Ayal A Aizer
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Nayan Lamba
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Harvard Radiation Oncology Program, Boston, Massachusetts, USA
| | | | - Kenneth Aldape
- Laboratory of Pathology, National Cancer Institute, Bethesda, Maryland, USA
| | - Adrienne Boire
- Department of Neurology, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Priscilla K Brastianos
- Departments of Neuro-Oncology and Medical Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Paul D Brown
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA
| | - D Ross Camidge
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Veronica L Chiang
- Departments of Neurosurgery and Radiation Oncology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Michael A Davies
- Department of Melanoma Medical Oncology, MD Anderson Cancer Center, Houston, Texas, USA
| | - Leland S Hu
- Department of Radiology, Neuroradiology Division, Mayo Clinic, Phoenix, Arizona, USA
| | - Raymond Y Huang
- Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | | | - Priya Kumthekar
- Department of Neurology at The Feinberg School of Medicine at Northwestern University and The Malnati Brain Tumor Institute at the Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, Illinois, USA
| | - Keng Lam
- Department of Neurology, Kaiser Permanente, Los Angeles Medical Center, Los Angeles, California, USA
| | - Eudocia Q Lee
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Nancy U Lin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Minesh Mehta
- Department of Radiation Oncology, Miami Cancer Institute, Miami, Florida, USA
| | - Michael Parsons
- Departments of Oncology and Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - David A Reardon
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Jason Sheehan
- Department of Neurosurgery, University of Virginia, Charlottesville, Virginia, USA
| | - Riccardo Soffietti
- Division of Neuro-Oncology, Department of Neuroscience Rita Levi Montalcini, University of Turin, Turin, Italy
| | - Hussein Tawbi
- Department of Melanoma Medical Oncology, MD Anderson Cancer Center, Houston, Texas, USA
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Patrick Y Wen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
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Yoo J, Kim HJ, Kim SM, Park HH. Prognostic factors to predict the efficacy of surgical interventions against brain metastasis secondary to thyroid cancer. Eur Thyroid J 2022; 11:e220087. [PMID: 35900775 PMCID: PMC9346320 DOI: 10.1530/etj-22-0087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 06/29/2022] [Indexed: 11/22/2022] Open
Abstract
Introduction Brain metastasis in differentiated thyroid cancer (DTC) is rare (frequency < 1%) and has a poor prognosis. Treatment strategies for brain metastasis are not well established. Objectives We conducted a retrospective analysis to identify predictive factors for patient outcomes and verify surgical indications for patients with brain metastasis and DTC. Methods The study included 34 patients with pathologically confirmed DTC with brain metastasis from March 2008 to November 2020. The associations between overall survival (OS) and clinical factors were evaluated. Cox regression analysis was used to determine the relationship between clinical factors and OS. To assess the survival benefit of craniotomy, Kaplan-Meier survival analysis was performed for each variable whose statistical significance was determined by Cox regression analysis. Results The median OS of the entire patient sample was 11.4 months. Survival was affected by the presence of lung metastasis (P = 0.033) and the number of brain metastases (n > 3) (P = 0.039). Only the subgroup with the number of brain metastases ≤3 showed statistical significance in the subgroup analysis of survival benefit following craniotomy (P = 0.048). Conclusions The number of brain metastases and the existence of lung metastasis were regarded more essential than other clinical factors in patients with DTC in this study. Furthermore, craniotomies indicated a survival benefit only when the number of brain metastases was ≤3. This finding could be beneficial in determining surgical indications in thyroid cancer with brain metastasis.
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Affiliation(s)
- Jihwan Yoo
- Department of Neurosurgery, Brain Tumor Center, Gangnam Severance Hospital, Seoul, Republic of Korea
- College of Medicine, Yonsei University, Seoul, Republic of Korea
| | - Hee Jun Kim
- Department of Surgery, CHA Ilsan Medical Center, Cha University School of Medicine, Goyang-si, Republic of Korea
| | - Seok Mo Kim
- Department of Surgery, Thyroid Cancer Center, Gangnam Severance Hospital, Institute of Refractory Thyroid Cancer, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hun Ho Park
- Department of Neurosurgery, Brain Tumor Center, Gangnam Severance Hospital, Seoul, Republic of Korea
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30
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Uto M, Torizuka D, Mizowaki T. Single isocenter stereotactic irradiation for multiple brain metastases: current situation and prospects. Jpn J Radiol 2022; 40:987-994. [PMID: 36057071 PMCID: PMC9529683 DOI: 10.1007/s11604-022-01333-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 08/24/2022] [Indexed: 10/29/2022]
Abstract
The prognosis of patients with brain metastases has dramatically improved, and long-term tumor control and reduction of the risk of late toxicities, including neurocognitive dysfunction, are important for patient quality of life. Stereotactic irradiation for multiple brain metastases, rather than whole-brain radiotherapy, can result in high local control rate with low incidence of neurocognitive deterioration and leukoencephalopathy. Recent advances in radiotherapy devices, treatment-planning systems, and image-guided radiotherapy can realize single isocenter stereotactic irradiation for multiple brain metastases (SI-STI-MBM), in which only one isocenter is sufficient to treat multiple brain metastases simultaneously. SI-STI-MBM has expanded the indications for linear accelerator-based stereotactic irradiation and considerably reduced patient burden. This review summarizes the background, methods, clinical outcomes, and specific consideration points of SI-STI-MBM. In addition, the prospects of SI-STI-MBM are addressed.
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Affiliation(s)
- Megumi Uto
- Department of Radiation Oncology and Image-Applied Therapy, Kyoto University Graduate School of Medicine, 54, Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Daichi Torizuka
- Department of Radiation Oncology and Image-Applied Therapy, Kyoto University Graduate School of Medicine, 54, Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Takashi Mizowaki
- Department of Radiation Oncology and Image-Applied Therapy, Kyoto University Graduate School of Medicine, 54, Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
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31
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Wang Y, Lian B, Si L, Mao L, Chi Z, Sheng X, Kong Y, Wang X, Bai X, Yan X, Li S, Tang B, Dai J, Zhou L, Wei X, Cui C, Guo J. Cumulative incidence and risk factors of brain metastasis for acral and mucosal melanoma patients with stages I-III. Eur J Cancer 2022; 175:196-203. [PMID: 36137395 DOI: 10.1016/j.ejca.2022.08.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 07/12/2022] [Accepted: 08/07/2022] [Indexed: 11/28/2022]
Abstract
PURPOSE Few studies focused on the incidence of brain metastasis in patients with acral and mucosal melanoma, and a better understanding of the incidences and predictors of brain metastasis is needed in these patients. METHOD A prospectively accrued cohort of 799 patients with acral and mucosal melanoma in stages I-III from July 2011 to December 2015 at Peking University Cancer Hospital were included in this study. Competing risk models (Fine and Gray) were used to estimate the cumulative incidence of brain metastasis and compare the differences in cumulative incidence curves between different primary lesions, stages, and molecular types. RESULTS At a median follow-up time of 68.0 months, 60 of the 779 patients (7.7%) developed brain metastasis, and 261 (33.5%) patients developed extracranial metastasis. Considering the risk of competition, the cumulative incidence of brain metastasis at one year, two years, and five years after diagnosis were 5.1%, 10.2%, and 19.5%, respectively. Stage III, BRAF mutations, and NRAS mutations were associated with a high risk of brain metastasis in univariable analysis. Multivariate analysis showed BRAF mutations, and NRAS mutations had statistically correlated with an increased cumulative incidence of brain metastasis at diagnosis and all-time point of one year and two years after diagnosis. CONCLUSION This study is the first to report the cumulative incidence and risk factors of brain metastasis for patients with acral and mucosal melanoma in stages I-III. Patients with BRAF and NRAS mutations had a higher incidence at diagnosis and all-time point, providing the basis for surveillance guidelines and further mechanic exploration.
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Affiliation(s)
- Yang Wang
- Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Bin Lian
- Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Lu Si
- Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - LiLi Mao
- Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - ZhiHong Chi
- Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - XiNan Sheng
- Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yan Kong
- Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xuan Wang
- Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xue Bai
- Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - XieQiao Yan
- Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - SiMing Li
- Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - BiXia Tang
- Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jie Dai
- Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Li Zhou
- Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiaoting Wei
- Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - ChuanLiang Cui
- Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, Beijing, China.
| | - Jun Guo
- Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, Beijing, China.
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Hulsbergen AFC, Lo YT, Awakimjan I, Kavouridis VK, Phillips JG, Smith TR, Verhoeff JJC, Yu KH, Broekman MLD, Arnaout O. Survival Prediction After Neurosurgical Resection of Brain Metastases: A Machine Learning Approach. Neurosurgery 2022; 91:381-388. [PMID: 35608378 PMCID: PMC10553019 DOI: 10.1227/neu.0000000000002037] [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: 06/30/2021] [Accepted: 03/24/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Current prognostic models for brain metastases (BMs) have been constructed and validated almost entirely with data from patients receiving up-front radiotherapy, leaving uncertainty about surgical patients. OBJECTIVE To build and validate a model predicting 6-month survival after BM resection using different machine learning algorithms. METHODS An institutional database of 1062 patients who underwent resection for BM was split into an 80:20 training and testing set. Seven different machine learning algorithms were trained and assessed for performance; an established prognostic model for patients with BM undergoing radiotherapy, the diagnosis-specific graded prognostic assessment, was also evaluated. Model performance was assessed using area under the curve (AUC) and calibration. RESULTS The logistic regression showed the best performance with an AUC of 0.71 in the hold-out test set, a calibration slope of 0.76, and a calibration intercept of 0.03. The diagnosis-specific graded prognostic assessment had an AUC of 0.66. Patients were stratified into regular-risk, high-risk and very high-risk groups for death at 6 months; these strata strongly predicted both 6-month and longitudinal overall survival ( P < .0005). The model was implemented into a web application that can be accessed through http://brainmets.morethanml.com . CONCLUSION We developed and internally validated a prediction model that accurately predicts 6-month survival after neurosurgical resection for BM and allows for meaningful risk stratification. Future efforts should focus on external validation of our model.
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Affiliation(s)
- Alexander F. C. Hulsbergen
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA;
- Departments of Neurosurgery, Haaglanden Medical Center and Leiden University Medical Center, Leiden University, Leiden, The Netherlands
| | - Yu Tung Lo
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA;
- Departments of Neurosurgery, Haaglanden Medical Center and Leiden University Medical Center, Leiden University, Leiden, The Netherlands
| | - Ilia Awakimjan
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA;
| | - Vasileios K. Kavouridis
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA;
| | - John G. Phillips
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA;
- Radiation Oncology, Tennessee Oncology, Nashville, Tennessee, USA
| | - Timothy R. Smith
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA;
| | - Joost J. C. Verhoeff
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, Utrecht, The Netherlands
| | - Kun-Hsing Yu
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA;
| | - Marike L. D. Broekman
- Departments of Neurosurgery, Haaglanden Medical Center and Leiden University Medical Center, Leiden University, Leiden, The Netherlands
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Omar Arnaout
- Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA;
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Yoo J, Park HH, Kang SG, Chang JH. Recent Update on Neurosurgical Management of Brain Metastasis. Brain Tumor Res Treat 2022; 10:164-171. [PMID: 35929114 PMCID: PMC9353165 DOI: 10.14791/btrt.2022.0023] [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: 06/09/2022] [Revised: 06/22/2022] [Accepted: 06/25/2022] [Indexed: 11/20/2022] Open
Abstract
Brain metastasis (BM), classified as a secondary brain tumor, is the most common malignant central nervous system tumor whose median overall survival is approximately 6 months. However, the survival rate of patients with BMs has increased with recent advancements in immunotherapy and targeted therapy. This means that clinicians should take a more active position in the treatment paradigm that passively treats BMs. Because patients with BM are treated in a variety of clinical settings, treatment planning requires a more sophisticated decision-making process than that for other primary malignancies. Therefore, an accurate prognostic prediction is essential, for which a graded prognostic assessment that reflects next-generation sequencing can be helpful. It is also essential to understand the indications for various treatment modalities, such as surgical resection, stereotactic radiosurgery, and whole-brain radiotherapy and consider their advantages and disadvantages when choosing a treatment plan. Surgical resection serves a limited auxiliary function in BM, but it can be an essential therapeutic approach for increasing the survival rate of specific patients; therefore, this must be thoroughly recognized during the treatment process. The ultimate goal of surgical resection is maximal safe resection; to this end, neuronavigation, intraoperative neuro-electrophysiologic assessment including evoked potential, and the use of fluorescent materials could be helpful. In this review, we summarize the considerations for neurosurgical treatment in a rapidly changing treatment environment.
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Affiliation(s)
- Jihwan Yoo
- Department of Neurosurgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Hun Ho Park
- Department of Neurosurgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Seok-Gu Kang
- Department of Neurosurgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jong Hee Chang
- Department of Neurosurgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
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Gutierrez Torres S, Maldonado Magos F, Turcott JG, Hernandez‐Martinez J, Cacho‐Díaz B, Cardona A, Mota‐García A, Lozano Ruiz F, Ramos‐Ramirez M, Arrieta O. Re-irradiation in patients with progressive or recurrent brain metastases from extracranial solid tumors: A novel prognostic index. Cancer Med 2022; 12:146-158. [PMID: 35770957 PMCID: PMC9844632 DOI: 10.1002/cam4.4921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 05/27/2022] [Accepted: 05/28/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Most studies evaluating factors associated with the survival of patients with brain metastases (BM) have focused on patients with newly diagnosed BM. This study aimed to identify prognostic factors associated with survival after brain re-irradiation in order to develop a new prognostic index. METHODS This 5-year retrospective study included patients treated with repeat-radiotherapy for recurrent BM at the "Instituto Nacional de Cancerología" of Mexico between 2015 and 2019. Significant variables in the multivariate Cox regression analysis were used to create the brain re-irradiation index (BRI). Survival and group comparisons were performed using the Kaplan-Meier method and the log-rank test. RESULTS Fifty-seven patients receiving brain re-irradiation were identified. Most patients were women (75.4%) with a mean age at BM diagnosis of 51.4 years. Lung and breast cancer were the most prevalent neoplasms (43.9% each). Independent prognostic factors for shorter survival after re-irradiation were: Age >50 years (hazard ratio [HR]:2.5 [95% confidence interval [CI], 1.1-5.8]; p = 0.026), uncontrolled primary tumor (HR:5.5 [95% CI, 2.2-13.5]; p < 0.001), lesion size >20 mm (4.6 [95% CI, 1.7-12.2]; p = 0.002), and an interval <12 months between radiation treatments (HR:4.3 [95% CI, 1.7-10.6]; p = 0.001). Median survival (MS) after re-irradiation was 14.6 months (95% CI, 8.2-20.9).MS of patients stratified according to the BRI score was 17.38, 10.34, and 2.82 months, with significant differences between all groups. CONCLUSIONS The new BRI can be easily implemented for the prognostic classification of cancer patients with progressive or recurrent BM from extracranial solid tumors.
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Affiliation(s)
| | | | - Jenny G. Turcott
- Thoracic Oncology UnitInstituto Nacional de Cancerología (INCan)Mexico CityMexico
| | - Juan‐Manuel Hernandez‐Martinez
- Thoracic Oncology UnitInstituto Nacional de Cancerología (INCan)Mexico CityMexico,Cátedras CONACYT‐Instituto Nacional de CancerologíaMexico CityMexico
| | - Bernardo Cacho‐Díaz
- Neuro‐Oncology UnitInstituto Nacional de Cancerología (INCan)Mexico CityMexico
| | - Andrés F. Cardona
- Luis Carlos Sarmiento Angulo Cancer Treatment and Research Center (CTIC)BogotáColombia,Foundation for Clinical and Applied Cancer Research (FICMAC)BogotáColombia,Molecular Oncology and Biology Systems Research Group (FOX‐G/ONCOLGroup)Universidad El BosqueBogotáColombia
| | - Aida Mota‐García
- Radiotherapy UnitInstituto Nacional de Cancerología (INCan)Mexico CityMexico
| | | | | | - Oscar Arrieta
- Thoracic Oncology UnitInstituto Nacional de Cancerología (INCan)Mexico CityMexico
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ADC textural features in patients with single brain metastases improve clinical risk models. Clin Exp Metastasis 2022; 39:459-466. [PMID: 35394585 PMCID: PMC9117356 DOI: 10.1007/s10585-022-10160-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Accepted: 02/28/2022] [Indexed: 11/03/2022]
Abstract
AIMS In this retrospective study we performed a quantitative textural analysis of apparant diffusion coefficient (ADC) images derived from diffusion weighted MRI (DW-MRI) of single brain metastases (BM) patients from different primary tumors and tested whether these imaging parameters may improve established clinical risk models. METHODS We identified 87 patients with single BM who had a DW-MRI at initial diagnosis. Applying image segmentation, volumes of contrast-enhanced lesions in T1 sequences, hyperintense T2 lesions (peritumoral border zone (T2PZ)) and tumor-free gray and white matter compartment (GMWMC) were generated and registered to corresponding ADC maps. ADC textural parameters were generated and a linear backward regression model was applied selecting imaging features in association with survival. A cox proportional hazard model with backward regression was fitted for the clinical prognostic models (diagnosis-specific graded prognostic assessment score (DS-GPA) and the recursive partitioning analysis (RPA)) including these imaging features. RESULTS Thirty ADC textural parameters were generated and linear backward regression identified eight independent imaging parameters which in combination predicted survival. Five ADC texture features derived from T2PZ, the volume of the T2PZ, the normalized mean ADC of the GMWMC as well as the mean ADC slope of T2PZ. A cox backward regression including the DS-GPA, RPA and these eight parameters identified two MRI features which improved the two risk scores (HR = 1.14 [1.05;1.24] for normalized mean ADC GMWMC and HR = 0.87 [0.77;0.97]) for ADC 3D kurtosis of the T2PZ.) CONCLUSIONS: Textural analysis of ADC maps in patients with single brain metastases improved established clinical risk models. These findings may aid to better understand the pathogenesis of BM and may allow selection of patients for new treatment options.
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Kraft J, van Timmeren JE, Frei S, Mayinger M, Borsky K, Kirchner C, Stark LS, Tanadini-Lang S, Wolpert F, Weller M, Woodruff HC, Guckenberger M, Andratschke N. Comprehensive summary and retrospective evaluation of prognostic scores for patients with newly diagnosed brain metastases treated with upfront radiosurgery in a modern patient collective. Radiother Oncol 2022; 172:23-31. [PMID: 35489445 DOI: 10.1016/j.radonc.2022.04.024] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 04/15/2022] [Accepted: 04/21/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Numerous prognostic scores (PS) for patients with brain metastases (BM) have been developed. Recently, PS based on laboratory parameters were introduced to better predict overall survival (OS). A comprehensive comparison of the wide range of scores in a modern patient collective is still missing. MATERIALS AND METHODS Twelve PS considering clinical parameters only at the time of BM diagnosis were calculated for 470 patients receiving upfront SRS between January 2014 and March 2020. In a subcohort of 310 patients where a full laboratory dataset was available five additional prognostic scores were compared. Restricted mean survival time (RMST), partial likelihood and c-index were calculated as metrics for performance evaluation. Univariable and multivariable analysis were used to identify prognostic factors for OS. RESULTS The median OS of the whole cohort was 15.8 months (95% C.I.: 13.4-20.1). All prognostic scores performed well in separating patients into different prognostic groups. RPA achieved the highest c-index, whereas GGS achieved highest partial likelihood with evaluation in the total cohort. With incorporation of the laboratory scores the recently suggested EC-GPA achieved highest c-index and highest partial likelihood. A prognostic score solely based on the assessment of performance status achieved considerable high performance as either 3- or 4-tiered score. Multivariable analysis revealed performance status, systemic disease status and laboratory parameters to be significantly associated with OS among variates included in prognostic scores. CONCLUSION Although recent PS incorporating laboratory parameters show convincing performance in predicting overall survival, older scores relying on clinical parameters only are still valid and appealing as they are easier to calculate, and as overall performance is almost equal. Moreover, a score just based on performance status is not significantly inferior and should at least be assessed for informed decision making.
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Affiliation(s)
- Johannes Kraft
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland; Department of Radiation Oncology, University Hospital Würzburg, Germany.
| | - Janita E van Timmeren
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland
| | - Simon Frei
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland
| | - Michael Mayinger
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland
| | - Kim Borsky
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland
| | - Corinna Kirchner
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland
| | - Luisa Sabrina Stark
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland
| | - Stephanie Tanadini-Lang
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland
| | - Fabian Wolpert
- Department of Neurology, University Hospital Zurich, University of Zurich, Switzerland
| | - Michael Weller
- Department of Neurology, University Hospital Zurich, University of Zurich, Switzerland
| | - Henry C Woodruff
- The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht
| | - Matthias Guckenberger
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland
| | - Nicolaus Andratschke
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Switzerland
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Najafi M, Jahanbakhshi A, Gomar M, Iotti C, Giaccherini L, Rezaie O, Cavallieri F, Deantonio L, Bardoscia L, Botti A, Sardaro A, Cozzi S, Ciammella P. State of the Art in Combination Immuno/Radiotherapy for Brain Metastases: Systematic Review and Meta-Analysis. Curr Oncol 2022; 29:2995-3012. [PMID: 35621634 PMCID: PMC9139474 DOI: 10.3390/curroncol29050244] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 04/03/2022] [Accepted: 04/17/2022] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVES Common origins for brain metastases (BMs) are melanoma, lung, breast, and renal cell cancers. BMs account for a large share of morbidity and mortality caused by these cancers. The advent of new immunotherapeutic treatments has made a revolution in the treatment of cancer patients and particularly, as a new concept, if it is combined with radiotherapy, may lead to considerably longer survival. This systematic review and meta-analysis aimed to evaluate the survival rate and toxicities of such a combination in brain metastases. METHODS To perform a systematic review of the literature until January 2021 using electronic databases such as PubMed, Cochrane Library, and Embase; the Newcastle-Ottawa Scale was used to evaluate the quality of cohort studies. For data extraction, two reviewers extracted the data blindly and independently. Hazard ratio with 95% confidence interval (CI), fixed-effect model, and inverse-variance method was calculated. The meta-analysis has been evaluated with the statistical software Stata/MP v.16 (The fastest version of Stata). RESULTS In the first step, 494 studies were selected to review the abstracts, in the second step, the full texts of 86 studies were reviewed. Finally, 28 studies were selected consisting of 1465 patients. The addition of IT to RT in the treatment of brain metastasis from melanoma and non-small-cell lung carcinoma was associated with a 39% reduction in mortality rate and has prolonged overall survival, with an acceptable toxicity profile. The addition of IT to RT compared with RT alone has a hazard ratio of 0.39(95% CI 0.34-0.44). CONCLUSIONS A combination of immuno/radiotherapy (IR) for the treatment of patients with BMs from melanoma and non-small-cell lung carcinoma has prolonged overall survival and reduced mortality rate, with acceptable toxicity. In terms of timing, RT seems to have the best effect on the result when performed before or simultaneously with immunotherapy.
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Affiliation(s)
- Masoumeh Najafi
- Skull Base Research Center, Iran University of Medical Sciences, Tehran 1997667665, Iran;
| | - Amin Jahanbakhshi
- Stem Cell and Regenerative Medicine Research Center, Iran University of Medical Sciences, Tehran 1997667665, Iran;
| | - Marzieh Gomar
- Radiation Oncology Research Center, Iran Cancer Institute, Tehran University of Medical Sciences, Tehran 1416753955, Iran;
| | - Cinzia Iotti
- Radiation Therapy Unit, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy; (C.I.); (L.G.); (P.C.)
| | - Lucia Giaccherini
- Radiation Therapy Unit, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy; (C.I.); (L.G.); (P.C.)
| | - Omid Rezaie
- Hematology-Oncology Department, Jam Hospital, Tehran 1997667665, Iran;
| | - Francesco Cavallieri
- Neurology Unit, Neuromotor & Rehabilitation Department, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy;
| | - Letizia Deantonio
- Radiation Oncology Clinic, Oncology Institute of Southern Switzerland (IOSI), 6500 Bellinzona, Switzerland;
| | - Lilia Bardoscia
- Radiation Oncology Unit, S. Luca Hospital, Healthcare Company Tuscany Nord Ovest, 55100 Lucca, Italy;
| | - Andrea Botti
- Medical Physics Unit, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy;
| | - Angela Sardaro
- Section of Radiology and Radiation Oncology, Interdisciplinary Department of Medicine, University of Bari “Aldo Moro”, 70124 Bari, Italy;
| | - Salvatore Cozzi
- Radiation Therapy Unit, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy; (C.I.); (L.G.); (P.C.)
| | - Patrizia Ciammella
- Radiation Therapy Unit, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy; (C.I.); (L.G.); (P.C.)
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Kalita-de Croft P, Joshi V, Saunus JM, Lakhani SR. Emerging Biomarkers for Diagnosis, Prevention and Treatment of Brain Metastases-From Biology to Clinical Utility. Diseases 2022; 10:11. [PMID: 35225863 PMCID: PMC8884016 DOI: 10.3390/diseases10010011] [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: 11/09/2021] [Revised: 01/18/2022] [Accepted: 01/27/2022] [Indexed: 11/17/2022] Open
Abstract
Primary malignancies of the lung, skin (melanoma), and breast have higher propensity for metastatic spread to the brain. Advances in molecular tumour profiling have aided the development of targeted therapies, stereotactic radiotherapy, and immunotherapy, which have led to some improvement in patient outcomes; however, the overall prognosis remains poor. Continued research to identify new prognostic and predictive biomarkers is necessary to further impact patient outcomes, as this will enable better risk stratification at the point of primary cancer diagnosis, earlier detection of metastatic deposits (for example, through surveillance), and more effective systemic treatments. Brain metastases exhibit considerable inter- and intratumoural heterogeneity-apart from distinct histology, treatment history and other clinical factors, the metastatic brain tumour microenvironment is incredibly variable both in terms of subclonal diversity and cellular composition. This review discusses emerging biomarkers; specifically, the biological context and potential clinical utility of tumour tissue biomarkers, circulating tumour cells, extracellular vesicles, and circulating tumour DNA.
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Affiliation(s)
- Priyakshi Kalita-de Croft
- UQ Centre for Clinical Research, The University of Queensland Faculty of Medicine, Herston, QLD 4029, Australia; (V.J.); (J.M.S.)
| | - Vaibhavi Joshi
- UQ Centre for Clinical Research, The University of Queensland Faculty of Medicine, Herston, QLD 4029, Australia; (V.J.); (J.M.S.)
| | - Jodi M. Saunus
- UQ Centre for Clinical Research, The University of Queensland Faculty of Medicine, Herston, QLD 4029, Australia; (V.J.); (J.M.S.)
| | - Sunil R. Lakhani
- UQ Centre for Clinical Research, The University of Queensland Faculty of Medicine, Herston, QLD 4029, Australia; (V.J.); (J.M.S.)
- Pathology Queensland, The Royal Brisbane and Women’s Hospital Herston, Herston, QLD 4029, Australia
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Loo K, Smithy JW, Postow MA, Betof Warner A. Factors Determining Long-Term Antitumor Responses to Immune Checkpoint Blockade Therapy in Melanoma. Front Immunol 2022; 12:810388. [PMID: 35087529 PMCID: PMC8787112 DOI: 10.3389/fimmu.2021.810388] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Accepted: 12/07/2021] [Indexed: 12/13/2022] Open
Abstract
With the increasing promise of long-term survival with immune checkpoint blockade (ICB) therapies, particularly for patients with advanced melanoma, clinicians and investigators are driven to identify prognostic and predictive factors that may help to identify individuals who are likely to experience durable benefit. Several ICB combinations are being actively developed to expand the armamentarium of treatments for patients who may not achieve long-term responses to ICB single therapies alone. Thus, negative predictive markers are also of great interest. This review seeks to deepen our understanding of the mechanisms underlying the durability of ICB treatments. We will discuss the currently available long-term data from the ICB clinical trials and real-world studies describing the survivorship of ICB-treated melanoma patients. Additionally, we explore the current treatment outcomes in patients rechallenged with ICB and the patterns of ICB resistance based on sites of disease, namely, liver or CNS metastases. Lastly, we discuss the landscape in melanoma in the context of prognostic or predictive factors as markers of long-term response to ICB.
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Affiliation(s)
- Kimberly Loo
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States
- Department of Internal Medicine, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, United States
| | - James W. Smithy
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Michael A. Postow
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States
- Department of Medicine, Weill Cornell Medical College, New York, NY, United States
| | - Allison Betof Warner
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States
- Department of Medicine, Weill Cornell Medical College, New York, NY, United States
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40
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Steindl A, Brunner TJ, Heimbach K, Schweighart K, Moser GM, Niziolek HM, Moor E, Kreminger J, Starzer AM, Dieckmann K, Gatterbauer B, Widhalm G, Preusser M, Berghoff AS. Changing characteristics, treatment approaches and survival of patients with brain metastasis: data from six thousand and thirty-one individuals over an observation period of 30 years. Eur J Cancer 2022; 162:170-181. [PMID: 34998049 DOI: 10.1016/j.ejca.2021.12.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 11/23/2021] [Accepted: 12/04/2021] [Indexed: 12/21/2022]
Abstract
BACKGROUND An accurate classification of patients with brain metastases (BMs) is an important foundation to guide individualised treatment decisions and to formulate BM cohorts for modern clinical trials. METHODS Six thousand and thirty-one patients with newly diagnosed BM from different solid tumours treated between 1986 and 2020 were identified from the Vienna Brain Metastasis Registry. RESULTS A rising fraction of patients presented with asymptomatic BM during the observation period (1986-1999: 20.2% vs 2010-2020: 30.6%; p < 0.001). Especially, oncogene-addicted non-small-cell lung cancer (NSCLC) and BRAF (v-Raf murine sarcoma viral oncogene homolog)-positive melanoma had a higher rate of asymptomatic BM presentation compared with wild-type tumours (p < 0.05). Significant changes of initial BM treatment approaches were observed with a decrease of neurosurgical procedures (1986-1999: 30.8% vs 2010-2020: 19.5%) and an increase of radiation treatments (1986-1999: 65.0% vs 2010-2020: 73.3%) and systemic therapies (1986-1999: 1.0% vs 2010-2020: 2.0%; p < 0.001). Median overall survival (OS) was heterogeneous between primary tumour entities but with an overall increase over the decades (median OS 1986-1999: 5 months vs 2010-2020: 7 months; p = 0.001). Survival times were longer in patients with oncogene-addicted NSCLC, BRAF-positive melanoma and hormone receptor-positive breast cancer compared with the other cancer subtypes (p > 0.05). CONCLUSION Our data highlight shifting trends in the symptomatic presentation and in treatment strategies of patients with BM over the last decades. Entity specific aspects and, in particular, the presence of targetable driver mutation impact the clinical presentation and prognosis. Future BM specific trials need to address the modern composition of BM cohorts and the distinct clinical course of patients with targetable driver mutations.
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Affiliation(s)
- Ariane Steindl
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Austria
| | - Tabea J Brunner
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Austria
| | - Kira Heimbach
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Austria
| | - Katharina Schweighart
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Austria
| | - Georg M Moser
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Austria
| | - Helena M Niziolek
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Austria
| | - Elisabeth Moor
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Austria
| | - Judith Kreminger
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Austria
| | - Angelika M Starzer
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Austria
| | - Karin Dieckmann
- Department of Radiotherapy, Medical University of Vienna, Austria
| | | | - Georg Widhalm
- Department of Neurosurgery, Medical University of Vienna, Austria
| | - Matthias Preusser
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Austria
| | - Anna S Berghoff
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Austria.
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Lamba N, Catalano PJ, Bi WL, Wen PY, Haas-Kogan DA, Cagney DN, Aizer AA. Predictors of long-term survival among patients with brain metastases. Neuro Oncol 2022; 24:494-496. [PMID: 34984469 PMCID: PMC8917402 DOI: 10.1093/neuonc/noab285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Affiliation(s)
- Nayan Lamba
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Paul J Catalano
- Department of Biostatistics, Harvard T.H. Chan School of Public Health and Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Wenya Linda Bi
- Department of Neurosurgery, Brigham and Women’s Hospital, Dana-Farber Cancer Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Patrick Y Wen
- Center for Neuro-Oncology, Dana-Farber/Brigham and Women’s Cancer Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Daphne A Haas-Kogan
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | | | - Ayal A Aizer
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women’s Hospital, Boston, Massachusetts, USA,Corresponding Author: Ayal A. Aizer, MD, MHS, Department of Radiation Oncology, Dana-Farber Cancer Institute/Brigham and Women’s Hospital, 75 Francis Street, Boston, MA 02115, USA ()
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Mitchell D, Kwon HJ, Kubica PA, Huff WX, O’Regan R, Dey M. Brain metastases: An update on the multi-disciplinary approach of clinical management. Neurochirurgie 2022; 68:69-85. [PMID: 33864773 PMCID: PMC8514593 DOI: 10.1016/j.neuchi.2021.04.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 03/16/2021] [Accepted: 04/03/2021] [Indexed: 01/03/2023]
Abstract
IMPORTANCE Brain metastasis (BM) is the most common malignant intracranial neoplasm in adults with over 100,000 new cases annually in the United States and outnumbering primary brain tumors 10:1. OBSERVATIONS The incidence of BM in adult cancer patients ranges from 10-40%, and is increasing with improved surveillance, effective systemic therapy, and an aging population. The overall prognosis of cancer patients is largely dependent on the presence or absence of brain metastasis, and therefore, a timely and accurate diagnosis is crucial for improving long-term outcomes, especially in the current era of significantly improved systemic therapy for many common cancers. BM should be suspected in any cancer patient who develops new neurological deficits or behavioral abnormalities. Gadolinium enhanced MRI is the preferred imaging technique and BM must be distinguished from other pathologies. Large, symptomatic lesion(s) in patients with good functional status are best treated with surgery and stereotactic radiosurgery (SRS). Due to neurocognitive side effects and improved overall survival of cancer patients, whole brain radiotherapy (WBRT) is reserved as salvage therapy for patients with multiple lesions or as palliation. Newer approaches including multi-lesion stereotactic surgery, targeted therapy, and immunotherapy are also being investigated to improve outcomes while preserving quality of life. CONCLUSION With the significant advancements in the systemic treatment for cancer patients, addressing BM effectively is critical for overall survival. In addition to patient's performance status, therapeutic approach should be based on the type of primary tumor and associated molecular profile as well as the size, number, and location of metastatic lesion(s).
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Affiliation(s)
- D Mitchell
- Department of Neurosurgery, Indiana University School of Medicine, Indiana University Purdue University Indianapolis, IN, USA
| | - HJ Kwon
- Department of Neurosurgery, Indiana University School of Medicine, Indiana University Purdue University Indianapolis, IN, USA
| | - PA Kubica
- Department of Neurosurgery, University of Wisconsin School of Medicine & Public Health, UW Carbone Cancer Center, Madison, WI, USA
| | - WX Huff
- Department of Neurosurgery, Indiana University School of Medicine, Indiana University Purdue University Indianapolis, IN, USA
| | - R O’Regan
- Department of Medicine/Hematology Oncology, University of Wisconsin School of Medicine & Public Health, UW Carbone Cancer Center, Madison, WI, USA
| | - M Dey
- Department of Neurosurgery, University of Wisconsin School of Medicine & Public Health, UW Carbone Cancer Center, Madison, WI, USA,Correspondence Should Be Addressed To: Mahua Dey, MD, University of Wisconsin School of Medicine & Public Health, 600 Highland Ave, Madison, WI 53792; Tel: 317-274-2601;
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McKay MJ. Brain metastases: increasingly precision medicine-a narrative review. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:1629. [PMID: 34926673 PMCID: PMC8640905 DOI: 10.21037/atm-21-3665] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 10/12/2021] [Indexed: 12/13/2022]
Abstract
Objective To broadly review the modern management of brain metastases. Background Brain metastases are the commonest neurological manifestation of cancer and a major cause of morbidity in cancer patients. Brain metastases are increasing in frequency, as a result of longer life expectancy of cancer patients, more sensitive methods for brain metastasis detection and an ageing population. The proportional incidence of brain metastases according to cancer of origin, from greatest to least, is lung cancer, melanoma, renal, breast and colorectal cancers. Patients with lung cancer and melanoma are most likely to have brain metastases at diagnosis. Brain metastases cause a variety of symptoms, depending on their size and location, whether they cause mass effect and oedema, compression of the brain parenchyma, or focal neurological deficits. The major differential diagnoses of brain metastases include primary tumours and vascular/inflammatory lesions. Prognosis is dependent on the site, number and volume of lesions, the patients’ performance status, age and the activity and extent of extracranial disease. Methods English literature articles in PubMed from 1950 to June 2021 were reviewed. Article bibliographies provided further references. Conclusions Treatment of brain metastasis patients has moved from considering them as a homogenous population of patients, to individualised treatment. In those brain metastases patients of satisfactory performance status with a solitary lesion, especially one in a non-eloquent/accessible area causing significant mass effect and/or raised intracranial pressure or for whom the diagnosis is in doubt (histology needed), surgical resection is usually the treatment of choice. For multiple brain metastases, radiotherapy with or without systemic therapies are usually employed. For relatively fit patients with limited numbers of brain metastases (e.g., 4 or less), stereotactic radiosurgery is standard of care. Current clinical trials are testing the efficacy of stereotactic treatment alone for >4 brain metastases (although it is increasingly used for such patients in many centres) as well as integration of local therapies with targeted and immunological therapies in appropriately selected cases. In certain circumstances, cranial irradiation can be omitted.
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Affiliation(s)
- Michael Jerome McKay
- Northern Cancer Service, North West Cancer Centre, Burnie, Tasmania, Australia.,The University of Tasmania, Rural Clinical School, Northwest Regional Hospital, Burnie, Tasmania, Australia
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44
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Mills MN, Potluri TK, Kawahara Y, Fahey M, Figura NB, Soyano AE, Washington IR, Diaz R, Oliver DE, Yu HHM, Etame AB, Vogelbaum MA, Czerniecki BJ, Arrington JA, Sahebjam S, Forsyth PA, Soliman HH, Han HS, Ahmed KA. The presentation of brain metastases in melanoma, non-small cell lung cancer, and breast cancer and potential implications for screening brain MRIs. Breast Cancer Res Treat 2021; 191:209-217. [PMID: 34669082 DOI: 10.1007/s10549-021-06420-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 10/11/2021] [Indexed: 12/19/2022]
Abstract
PURPOSE This study assessed the presentation and institutional outcomes treating brain metastases (BM) of breast cancer (BC), non-small cell lung cancer (NSCLC), and melanoma origin. METHODS Patients with brain metastases treated between 2014 and 2019 with primary melanoma, NSCLC, and BC were identified. Overall survival (OS) was calculated from dates of initial BM diagnosis using the Kaplan-Meier method. RESULTS A total of 959 patients were identified including melanoma (31%), NSCLC (51%), and BC (18%). Patients with BC were younger at BM diagnosis (median age: 57) than NSCLC (65) and melanoma patients (62, p < 0.0001). Breast cancer patients were more likely to present with at least 5 BM (27%) than NSCLC (14%) and melanoma (13%), leptomeningeal disease (23%, 6%, and 6%, p = 0.0004) and receive whole brain radiation therapy (WBRT) (58%, 37%, and 22%, p < 0.0001). There were no differences in surgical resection (24%, 24%, and 29%, p = 0.166). Median OS was shorter for BC patients (9.9, 10.3, and 13.7 months, p = 0.0006). CONCLUSION Breast cancer patients were more likely to be younger, present with advanced disease, require WBRT, and have poorer OS than NSCLC and melanoma patients. Further investigation is needed to determine which BC patients are at sufficient risk for brain MRI screening.
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Affiliation(s)
- Matthew N Mills
- Department of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL, 33612, USA
| | - Thrisha K Potluri
- University of South Florida, Morsani College of Medicine, Tampa, FL, 33612, USA
| | - Yuki Kawahara
- University of South Florida, Morsani College of Medicine, Tampa, FL, 33612, USA
| | - Matthew Fahey
- University of South Florida, Morsani College of Medicine, Tampa, FL, 33612, USA
| | - Nicholas B Figura
- Department of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL, 33612, USA
| | - Aixa E Soyano
- Department of Breast Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA
| | - Iman R Washington
- Department of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL, 33612, USA
| | - Roberto Diaz
- Department of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL, 33612, USA
| | - Daniel E Oliver
- Department of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL, 33612, USA
| | - Hsiang-Hsuan Michael Yu
- Department of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL, 33612, USA
| | - Arnold B Etame
- Department of Neuro Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA
| | - Michael A Vogelbaum
- Department of Neuro Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA
| | - Brian J Czerniecki
- Department of Breast Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA
| | - John A Arrington
- Department of Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA
| | - Solmaz Sahebjam
- Department of Neuro Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA
| | - Peter A Forsyth
- Department of Neuro Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA
| | - Hatem H Soliman
- Department of Breast Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA
| | - Hyo S Han
- Department of Breast Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA
| | - Kamran A Ahmed
- Department of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Dr., Tampa, FL, 33612, USA.
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Naik GS, Buchbinder EI, Cohen JV, Manos MP, Johnson AEW, Bowling P, Aizer AA, Schoenfeld JD, Lawrence DP, Haq R, Hodi FS, Sullivan RJ, Ott PA. Long-term Overall Survival and Predictors in Anti-PD-1-naive Melanoma Patients With Brain Metastases Treated With Immune Checkpoint Inhibitors in the Real-world Setting: A Multicohort Study. J Immunother 2021; 44:307-318. [PMID: 34406158 DOI: 10.1097/cji.0000000000000385] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 06/29/2021] [Indexed: 01/09/2023]
Abstract
Long-term survival outcomes among melanoma patients with brain metastases treated with immune checkpoint inhibitors are limited. In this retrospective study at 2 centers, metastatic melanoma patients with radiographic evidence of brain metastases who received anti-programmed death-1 (PD-1) monotherapy or nivolumab in combination with ipilimumab between 2014 and 2017 were included. Overall survival (OS) was assessed in diagnosis-specific graded prognostic assessment (ds-GPA) and melanoma-molecular graded prognostic assessment (molGPA) prognostic risk groups. Baseline clinical covariates were used to identify predictors of OS in univariate/multivariable Cox proportional-hazards models. A total of 84 patients (58 monotherapy, 26 combination) were included with a median duration of follow-up of 43.4 months (maximum: 5.1 y). The median OS [95% confidence interval (CI)] was 3.1 months (1.8, 7) for ds-GPA 0-1, 22.1 months [5.4, not reached (NR)] for ds-GPA 2 and NR (24.9, NR) for ds-GPA 3-4 in the monotherapy cohort [hazard ratio (HR) for ds-GPA 3-4 vs. 0-1: 0.13 (95% CI: 0.052, 0.32); 0.29 (95% CI: 0.12, 0.63) for ds-GPA 2 vs. 0-1]. The median OS was 1.1 months (95% CI: 0.3, NR) for ds-GPA 0-1, 11.8 months (95% CI: 2.9, 23.3) for ds-GPA 2 and 24.4 months (95% CI: 3.4, NR) for ds-GPA 3-4 in the combination cohort [HR for 3-4 vs. 0-1: 0.013 (95% CI: 0.0012, 0.14); HR for ds-GPA 2 vs. 0-1: 0.033 (0.0035, 0.31)]. Predictors associated with longer survival included ds-GPA or molGPA>1 (among prognostic indices), neutrophil-to-lymphocyte ratio (<4 vs. ≥4), while high lactate dehydrogenase, neurological symptoms, and leptomeningeal metastases were associated with shorter survival. Baseline ds-GPA/molGPA>1 and neutrophil-to-lymphocyte ratio <4 were strong predictors of long-term survival to anti-PD-1-based immune checkpoint inhibitors in melanoma brain metastases patients previously naive to anti-PD-1 therapy in a real-world clinical setting treated at independent centers.
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Affiliation(s)
- Girish S Naik
- Department of Medical Oncology, Dana-Farber Cancer Institute
- Harvard Medical School
| | - Elizabeth I Buchbinder
- Department of Medical Oncology, Dana-Farber Cancer Institute
- Harvard Medical School
- Brigham and Women's Hospital
| | - Justine V Cohen
- Harvard Medical School
- Center for Melanoma, Massachusetts General Hospital, Boston
| | - Michael P Manos
- Department of Medical Oncology, Dana-Farber Cancer Institute
| | - Alistair E W Johnson
- Institute of Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA
| | - Peter Bowling
- Department of Medical Oncology, Dana-Farber Cancer Institute
| | - Ayal A Aizer
- Harvard Medical School
- Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center
| | - Jonathan D Schoenfeld
- Harvard Medical School
- Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center
| | - Donald P Lawrence
- Harvard Medical School
- Center for Melanoma, Massachusetts General Hospital, Boston
| | - Rizwan Haq
- Department of Medical Oncology, Dana-Farber Cancer Institute
- Harvard Medical School
- Brigham and Women's Hospital
| | - Frank Stephen Hodi
- Department of Medical Oncology, Dana-Farber Cancer Institute
- Harvard Medical School
- Brigham and Women's Hospital
| | - Ryan J Sullivan
- Harvard Medical School
- Center for Melanoma, Massachusetts General Hospital, Boston
| | - Patrick A Ott
- Department of Medical Oncology, Dana-Farber Cancer Institute
- Harvard Medical School
- Brigham and Women's Hospital
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Koo J, Roh TH, Lee SR, Heo J, Oh YT, Kim SH. Whole-Brain Radiotherapy vs. Localized Radiotherapy after Resection of Brain Metastases in the Era of Targeted Therapy: A Retrospective Study. Cancers (Basel) 2021; 13:cancers13184711. [PMID: 34572938 PMCID: PMC8472558 DOI: 10.3390/cancers13184711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 09/10/2021] [Accepted: 09/17/2021] [Indexed: 11/30/2022] Open
Abstract
Simple Summary The paradigm shift from cytotoxic chemotherapy to molecular targeted therapy dramatically improved the survival and quality of life of cancer patients. In radio-oncological aspects, there also was a paradigm shift from whole-brain radiotherapy to localized radiotherapy including stereotactic radiosurgery. This retrospective study analyzed 124 consecutive patients who had undergone surgical resection of brain metastases. We found targeted therapies to improve overall survival and distant control with decreased incidence of leptomeningeal metastasis. Our data suggest that localized radiotherapy is sufficient after resection of brain metastases when systemic targeted therapy is available. Abstract Whether targeted therapy (TT) and radiotherapy impact survival after resection of brain metastases (BM) is unknown. The purpose of this study was to analyze the factors affecting overall survival (OS), local control (LC), distant control (DC), and leptomeningeal metastases (LMM) in patients who had undergone resection of BM. We retrospectively analyzed 124 consecutive patients who had undergone resection of BM between 2004 and 2020. Patient information about age, sex, Karnofsky Performance Scale (KPS), origin of cancer, synchronicity, tumor size, status of primary cancer, use of TT, extent of resection, and postoperative radiotherapy was collected. Radiation therapy was categorized into whole-brain radiotherapy (WBRT), localized radiotherapy (local brain radiotherapy or stereotactic radiosurgery (LBRT/SRS)), and no radiation. We identified factors that affect OS, LC, DC, and LMM. In multivariable analysis, significant factors for OS were higher KPS score (≥90) (HR 0.53, p = 0.011), use of TT (HR 0.43, p = 0.001), controlled primary disease (HR 0.63, p = 0.047), and single BM (HR 0.55, p = 0.016). Significant factors for LC were gross total resection (HR 0.29, p = 0.014) and origin of cancer (p = 0.041). Both WBRT and LBRT/SRS showed superior LC than no radiation (HR 0.32, p = 0.034 and HR 0.38, p = 0.018, respectively). Significant factors for DC were use of TT (HR 0.54, p = 0.022) and single BM (HR 0.47, p = 0.004). Reduced incidence of LMM was associated with use of TT (HR 0.42, p = 0.038), synchronicity (HR 0.25, p = 0.028), and controlled primary cancer (HR 0.44, p = 0.047). TT was associated with prolonged OS, improved DC, and reduced LMM in resected BM patients. WBRT and LBRT/SRS showed similar benefits on LC. Considering the extended survival of cancer patients and the long-term effect of WBRT on cognitive function, LBRT/SRS appears to be a good option after resection of BM.
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Affiliation(s)
- Jaho Koo
- Gamma Knife Center, Brain Tumor Center, Department of Neurosurgery, Ajou University Hospital, Ajou University School of Medicine, Suwon 16499, Korea; (J.K.); (S.R.L.); (S.-H.K.)
| | - Tae Hoon Roh
- Gamma Knife Center, Brain Tumor Center, Department of Neurosurgery, Ajou University Hospital, Ajou University School of Medicine, Suwon 16499, Korea; (J.K.); (S.R.L.); (S.-H.K.)
- Correspondence:
| | - Sang Ryul Lee
- Gamma Knife Center, Brain Tumor Center, Department of Neurosurgery, Ajou University Hospital, Ajou University School of Medicine, Suwon 16499, Korea; (J.K.); (S.R.L.); (S.-H.K.)
| | - Jaesung Heo
- Brain Tumor Center, Department of Radiation Oncology, Ajou University Hospital, Ajou University School of Medicine, Suwon 16499, Korea; (J.H.); (Y.-T.O.)
| | - Young-Taek Oh
- Brain Tumor Center, Department of Radiation Oncology, Ajou University Hospital, Ajou University School of Medicine, Suwon 16499, Korea; (J.H.); (Y.-T.O.)
| | - Se-Hyuk Kim
- Gamma Knife Center, Brain Tumor Center, Department of Neurosurgery, Ajou University Hospital, Ajou University School of Medicine, Suwon 16499, Korea; (J.K.); (S.R.L.); (S.-H.K.)
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47
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Dalmasso C, Pagès C, Chaltiel L, Sibaud V, Moyal E, Chira C, Sol JC, Latorzeff I, Meyer N, Modesto A. Intracranial Treatment in Melanoma Patients with Brain Metastasis Is Associated with Improved Survival in the Era of Immunotherapy and Anti-BRAF Therapy. Cancers (Basel) 2021; 13:cancers13174493. [PMID: 34503304 PMCID: PMC8430519 DOI: 10.3390/cancers13174493] [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: 06/11/2021] [Revised: 08/19/2021] [Accepted: 09/01/2021] [Indexed: 11/16/2022] Open
Abstract
Metastatic melanoma patients are at high risk of brain metastases (BM). Although intracranial control is a prognostic factor for survival, impact of local (intracranial) treatment (LT), surgery and/or radiotherapy (stereotactic or whole brain) in the era of novel therapies remains unknown. We evaluated BM incidence in melanoma patients receiving immune checkpoint inhibitors (ICI) or anti-BRAF therapy and identified prognostic factors for overall survival (OS). Clinical data and treatment patterns were retrospectively collected from all patients treated for newly diagnosed locally advanced or metastatic melanoma between May 2014 and December 2017 with available BRAF mutation status and receiving systemic therapy. Prognostic factors for OS were analyzed with univariable and multivariable survival analyses. BMs occurred in 106 of 250 eligible patients (42.4%), 64 of whom received LT. Median OS in patients with BM was 7.8 months (95% CI [5.4-10.4]). In multivariable analyses, LT was significantly correlated with improved OS (HR 0.21, p < 0.01). Median OS was 17.3 months (95% CI [8.3-22.3]) versus 3.6 months (95% CI [1.4-4.8]) in patients with or without LT. LT correlates with improved OS in melanoma patients with BM in the era of ICI and anti-BRAF therapy. The use of LT should be addressed at diagnosis of BM while introducing systemic treatment.
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Affiliation(s)
- Céline Dalmasso
- Radiation Oncology Department, Institut Claudius Regaud, Institut Universitaire du Cancer de Toulouse, CEDEX 9, 31059 Toulouse, France; (C.D.); (E.M.); (C.C.)
| | - Cécile Pagès
- Dermato-Oncology Department, Institut Universitaire du Cancer, CEDEX 9, 31059 Toulouse, France; (C.P.); (V.S.); (N.M.)
| | - Léonor Chaltiel
- Biostatistics Department, Institut Claudius Regaud, Institut Universitaire du Cancer de Toulouse, CEDEX 9, 31059 Toulouse, France;
| | - Vincent Sibaud
- Dermato-Oncology Department, Institut Universitaire du Cancer, CEDEX 9, 31059 Toulouse, France; (C.P.); (V.S.); (N.M.)
| | - Elisabeth Moyal
- Radiation Oncology Department, Institut Claudius Regaud, Institut Universitaire du Cancer de Toulouse, CEDEX 9, 31059 Toulouse, France; (C.D.); (E.M.); (C.C.)
- Gamma Knife Unit, CHU–Toulouse-Purpan, 31000 Toulouse, France; (J.C.S.); (I.L.)
| | - Ciprian Chira
- Radiation Oncology Department, Institut Claudius Regaud, Institut Universitaire du Cancer de Toulouse, CEDEX 9, 31059 Toulouse, France; (C.D.); (E.M.); (C.C.)
| | - Jean Christophe Sol
- Gamma Knife Unit, CHU–Toulouse-Purpan, 31000 Toulouse, France; (J.C.S.); (I.L.)
- Neuro-Surgery Department, CHU de Toulouse–Purpan, 31000 Toulouse, France
| | - Igor Latorzeff
- Gamma Knife Unit, CHU–Toulouse-Purpan, 31000 Toulouse, France; (J.C.S.); (I.L.)
- Radiation Oncology Department, Oncorad, Clinique Pasteur, 31000 Toulouse, France
| | - Nicolas Meyer
- Dermato-Oncology Department, Institut Universitaire du Cancer, CEDEX 9, 31059 Toulouse, France; (C.P.); (V.S.); (N.M.)
- Dermatology Department, CHU de Toulouse, Hôpital Larrey, CEDEX 9, 31059 Toulouse, France
| | - Anouchka Modesto
- Radiation Oncology Department, Institut Claudius Regaud, Institut Universitaire du Cancer de Toulouse, CEDEX 9, 31059 Toulouse, France; (C.D.); (E.M.); (C.C.)
- Correspondence:
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48
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Winther RR, Vik-Mo EO, Yri OE, Aass N, Kaasa S, Skovlund E, Helseth E, Hjermstad MJ. Surgery for brain metastases - real-world prognostic factors' association with survival. Acta Oncol 2021; 60:1161-1168. [PMID: 34032547 DOI: 10.1080/0284186x.2021.1930150] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND Surgical resection of brain metastases (BM) improves overall survival (OS) in selected patients. Selecting those patients likely to benefit from surgery is challenging. The Graded Prognostic Assessment (GPA) and the diagnosis-specific Graded Prognostic Assessment (ds-GPA) were developed to predict survival in patients with BM, but not specifically to guide patient selection for surgery. Our aim was to evaluate the feasibility of preoperative GPA/ds-GPA scores and assess variables associated with OS. METHODS We retrospectively reviewed first-time surgical resection of BM from solid tumors at a Norwegian regional referral center from 2011 to 2018. RESULTS Of 590 patients, 51% were female and median age was 63 years. Median OS was 10.3 months and 74 patients (13%) died within three months after surgery. Preoperatively tumor origin was unknown in 20% of patients. A GPA score could be calculated for 92% of the patients preoperatively, but could not correctly predict survival. A ds-GPA score could be calculated for 46% of patients. Multivariable regression analysis revealed shorter OS in patients with higher age, worse functioning status, colorectal primary cancer compared to lung cancer, presence of extracranial metastases, and more than four BM. Patients with preoperative progressive extracranial disease or synchronous BM had shorter OS compared to patients with stable extracranial disease. CONCLUSION Ds-GPA could be calculated in less than half of patients preoperatively and GPA poorly identified patients which had minimal benefit of surgery. Including status of extracranial disease improve prognostication and therefore selection to surgery for brain metastases.
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Affiliation(s)
- Rebecca Rootwelt Winther
- Deparment of Oncology, Regional Advisory Unit for Palliative Care, Oslo University Hospital (OUH), Oslo, Norway
- Department of Oncology, European Palliative Care Research Centre (PRC), Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Einar Osland Vik-Mo
- Department of Neurosurgery, OUH, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | | | - Nina Aass
- Deparment of Oncology, Regional Advisory Unit for Palliative Care, Oslo University Hospital (OUH), Oslo, Norway
- Department of Oncology, European Palliative Care Research Centre (PRC), Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Oncology, OUH, Norway, Oslo (OEY, NA, SK)
| | - Stein Kaasa
- Deparment of Oncology, Regional Advisory Unit for Palliative Care, Oslo University Hospital (OUH), Oslo, Norway
- Department of Oncology, European Palliative Care Research Centre (PRC), Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Oncology, OUH, Norway, Oslo (OEY, NA, SK)
| | - Eva Skovlund
- Department of Public Health and General Practice, Norwegian University of Science and Technology, Trondheim, Norway
| | - Eirik Helseth
- Department of Neurosurgery, OUH, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Marianne Jensen Hjermstad
- Deparment of Oncology, Regional Advisory Unit for Palliative Care, Oslo University Hospital (OUH), Oslo, Norway
- Department of Oncology, European Palliative Care Research Centre (PRC), Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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Kennedy WR, DeWees TA, Acharya S, Mahmood M, Knutson NC, Goddu SM, Kavanaugh JA, Mitchell TJ, Rich KM, Kim AH, Leuthardt EC, Dowling JL, Dunn GP, Chicoine MR, Perkins SM, Huang J, Tsien CI, Robinson CG, Abraham CD. Internal dose escalation associated with increased local control for melanoma brain metastases treated with stereotactic radiosurgery. J Neurosurg 2021; 135:855-861. [PMID: 33307528 DOI: 10.3171/2020.7.jns192210] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 07/09/2020] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The internal high-dose volume varies widely for a given prescribed dose during stereotactic radiosurgery (SRS) to treat brain metastases (BMs). This may be altered during treatment planning, and the authors have previously shown that this improves local control (LC) for non-small cell lung cancer BMs without increasing toxicity. Here, they seek to identify potentially actionable dosimetric predictors of LC after SRS for melanoma BM. METHODS The records of patients with unresected melanoma BM treated with single-fraction Gamma Knife RS between 2006 and 2017 were reviewed. LC was assessed on a per-lesion basis, defined as stability or a decrease in lesion size. Outcome-oriented approaches were utilized to determine optimal dichotomization for dosimetric variables relative to LC. Univariable and multivariable Cox regression analysis was implemented to evaluate the impact of collected parameters on LC. RESULTS Two hundred eighty-seven melanoma BMs in 79 patients were identified. The median age was 56 years (range 31-86 years). The median follow-up was 7.6 months (range 0.5-81.6 months), and the median survival was 9.3 months (range 1.3-81.6 months). Lesions were optimally stratified by volume receiving at least 30 Gy (V30) greater than or equal to versus less than 25%. V30 was ≥ and < 25% in 147 and 140 lesions, respectively. For all patients, 1-year LC was 83% versus 66% for V30 ≥ and < 25%, respectively (p = 0.001). Stratifying by volume, lesions 2 cm or less (n = 215) had 1-year LC of 82% versus 70% (p = 0.013) for V30 ≥ and < 25%, respectively. Lesions > 2 to 3 cm (n = 32) had 1-year LC of 100% versus 43% (p = 0.214) for V30 ≥ and < 25%, respectively. V30 was still predictive of LC even after controlling for the use of immunotherapy and targeted therapy. Radionecrosis occurred in 2.8% of lesions and was not significantly associated with V30. CONCLUSIONS For a given prescription dose, an increased internal high-dose volume, as indicated by measures such as V30 ≥ 25%, is associated with improved LC but not increased toxicity in single-fraction SRS for melanoma BM. Internal dose escalation is an independent predictor of improved LC even in patients receiving immunotherapy and/or targeted therapy. This represents a dosimetric parameter that is actionable at the time of treatment planning and warrants further evaluation.
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Affiliation(s)
| | - Todd A DeWees
- 2Department of Biomedical Statistics and Informatics, Mayo Clinic, Scottsdale, Arizona; and
| | - Sahaja Acharya
- 3Department of Radiation Oncology, St. Jude Children's Research Hospital, Memphis, Tennessee
| | | | | | | | | | | | - Keith M Rich
- 4Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Albert H Kim
- 4Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Eric C Leuthardt
- 4Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Joshua L Dowling
- 4Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Gavin P Dunn
- 4Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
| | - Michael R Chicoine
- 4Neurosurgery, Washington University School of Medicine, St. Louis, Missouri
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50
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Exploratory analysis of clinical benefit of ipilimumab and nivolumab treatment in patients with metastatic melanoma from a single institution. Clin Transl Oncol 2021; 24:319-330. [PMID: 34420138 DOI: 10.1007/s12094-021-02692-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 08/02/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE We retrospectively analysed overall survival (OS) and potential predictive biomarkers of OS in patients with metastatic melanoma treated with ipilimumab plus nivolumab in a single institution. METHODS AND PATIENTS Electronic medical records of patients with advanced melanoma receiving ≥ 1 dose of a combined ipilimumab plus nivolumab regimen between March 3, 2016 and March 7, 2020 in a single institution, were reviewed. OS was analysed using the Kaplan-Meier method. Sub-group analyses were conducted to examine several endpoints according to relevant clinical, molecular and pathological variables using logistic and Cox models. RESULTS Forty-four cases were reviewed, 38 (86.4%), of whom had cutaneous melanoma, 21 (47.7%) were BRAF mutant, 21 (47.7%) presented high lactate dehydrogenase (LDH) values, 23 (52.3%) had ≥ 3 disease sites, and 10 (22.7%) patients had brain metastases. The median follow-up was 37.7 months, and the median OS was 21.1 months (95% CI 8.2-NR). In the multivariate analysis, the OS was significantly longer in patients with an Eastern Cooperative Oncology Group (ECOG) score of 0, LDH ≤ upper limit of normal, absence of liver metastases and neutrophil-to-lymphocyte ratio (NLR) < 5 (all p ≤ 0.05, log-rank test). These factors allowed the classification of patients into three prognostic risk groups (low/intermediate/high risk) for death. CONCLUSION Overall survival of real-world patients from our cohort receiving ipilimumab plus nivolumab was lower than in previous studies. The ECOG score, LDH values, the presence of liver metastases and the NLR were independent prognostic factors for survival.
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