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Niedermeyer S, Schmutzer-Sondergeld M, Weller J, Katzendobler S, Kirchleitner S, Forbrig R, Harter PN, Baumgarten LV, Schichor C, Stoecklein V, Thon N. Neurosurgical resection of multiple brain metastases: outcomes, complications, and survival rates in a retrospective analysis. J Neurooncol 2024; 169:349-358. [PMID: 38904924 PMCID: PMC11341644 DOI: 10.1007/s11060-024-04744-w] [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: 05/04/2024] [Accepted: 06/10/2024] [Indexed: 06/22/2024]
Abstract
PURPOSE This study investigates the outcomes of microsurgical resection of multiple brain metastasis (BMs). METHODS This retrospective, monocentric analysis included clinical data from all consecutive BM patients, who underwent simultaneous resection of ≥ 2 BMs between January 2018 and May 2023. Postoperative neurological and functional outcomes, along with perioperative complications, as well as survival data were evaluated. RESULTS A total of 47 patients, with a median age of 61 years (IQR 48-69), underwent 73 craniotomies (median 2; range 1-3) for resection of 104 BMs. Among patients, 80.8% presented with symptomatic BMs, causing focal neurological deficits in 53% of cases. Gross total resection was achieved in 87.2% of BMs. Karnofsky Performance Scale (KPS) scores improved in 42.6% of patients, remained unchanged in 46.8%, and worsened in 10.6% after surgery. Perioperative complications were observed in 29.8% of cases, with transient complications occurring in 19.2% and permanent deficits in 10.6%. The 30-days mortality rate was 2.1%. Logistic regression identified eloquent localization (p = 0.036) and infratentorial craniotomy (p = 0.018) as significant predictors of postoperative complications. Concerning overall prognosis, patients with permanent neurological deficits post-surgery (HR 11.34, p = 0.007) or progressive extracranial disease (HR: 4.649; p = 0.006) exhibited inferior survival. CONCLUSION Microsurgical resection of multiple BMs leads to clinical stabilization or functional improvement in most patients. Although transient complications do not affect overall survival, the presence of persistent neurological deficits (> 3 months post-surgery) and progressive extracranial disease negatively impact overall survival. This highlights the importance of careful patient selection for resection of multiple BMs.
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Affiliation(s)
- Sebastian Niedermeyer
- Department of Neurosurgery, LMU Hospital, Ludwig-Maximilian-University Munich, Marchioninistrasse 15, 81377, Munich, Germany.
| | - M Schmutzer-Sondergeld
- Department of Neurosurgery, LMU Hospital, Ludwig-Maximilian-University Munich, Marchioninistrasse 15, 81377, Munich, Germany
| | - J Weller
- Department of Neurosurgery, LMU Hospital, Ludwig-Maximilian-University Munich, Marchioninistrasse 15, 81377, Munich, Germany
| | - S Katzendobler
- Department of Neurosurgery, LMU Hospital, Ludwig-Maximilian-University Munich, Marchioninistrasse 15, 81377, Munich, Germany
| | - S Kirchleitner
- Department of Neurosurgery, LMU Hospital, Ludwig-Maximilian-University Munich, Marchioninistrasse 15, 81377, Munich, Germany
| | - R Forbrig
- Department of Neuroradiology, LMU Hospital, Ludwig-Maximilian-University Munich, Marchioninistrasse 15, 81377, Munich, Germany
| | - P N Harter
- Center for Neuropathology and Prion Research, LMU Hospital, Ludwig-Maximilian- University Munich, Feodor-Lynen Strasse 23, 81377, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - L V Baumgarten
- Department of Neurosurgery, LMU Hospital, Ludwig-Maximilian-University Munich, Marchioninistrasse 15, 81377, Munich, Germany
| | - C Schichor
- Department of Neurosurgery, LMU Hospital, Ludwig-Maximilian-University Munich, Marchioninistrasse 15, 81377, Munich, Germany
| | - V Stoecklein
- Department of Neurosurgery, LMU Hospital, Ludwig-Maximilian-University Munich, Marchioninistrasse 15, 81377, Munich, Germany
| | - N Thon
- Department of Neurosurgery, LMU Hospital, Ludwig-Maximilian-University Munich, Marchioninistrasse 15, 81377, Munich, Germany
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2
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Savage WM, Yeary MD, Tang AJ, Sperring CP, Argenziano MG, Adapa AR, Yoh N, Canoll P, Bruce JN. Biomarkers of immunotherapy in glioblastoma. Neurooncol Pract 2024; 11:383-394. [PMID: 39006524 PMCID: PMC11241363 DOI: 10.1093/nop/npae028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/16/2024] Open
Abstract
Glioblastoma (GBM) is the most common primary brain cancer, comprising half of all malignant brain tumors. Patients with GBM have a poor prognosis, with a median survival of 14-15 months. Current therapies for GBM, including chemotherapy, radiotherapy, and surgical resection, remain inadequate. Novel therapies are required to extend patient survival. Although immunotherapy has shown promise in other cancers, including melanoma and non-small lung cancer, its efficacy in GBM has been limited to subsets of patients. Identifying biomarkers of immunotherapy response in GBM could help stratify patients, identify new therapeutic targets, and develop more effective treatments. This article reviews existing and emerging biomarkers of clinical response to immunotherapy in GBM. The scope of this review includes immune checkpoint inhibitor and antitumoral vaccination approaches, summarizing the variety of molecular, cellular, and computational methodologies that have been explored in the setting of anti-GBM immunotherapies.
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Affiliation(s)
- William M Savage
- Department of Neurological Surgery, Columbia University Irving Medical Center/NY-Presbyterian Hospital, New York, New York, USA
| | - Mitchell D Yeary
- Department of Neurological Surgery, Columbia University Irving Medical Center/NY-Presbyterian Hospital, New York, New York, USA
| | - Anthony J Tang
- Department of Neurological Surgery, Columbia University Irving Medical Center/NY-Presbyterian Hospital, New York, New York, USA
| | - Colin P Sperring
- Department of Neurological Surgery, Columbia University Irving Medical Center/NY-Presbyterian Hospital, New York, New York, USA
| | - Michael G Argenziano
- Department of Neurological Surgery, Columbia University Irving Medical Center/NY-Presbyterian Hospital, New York, New York, USA
| | - Arjun R Adapa
- Department of Neurological Surgery, Columbia University Irving Medical Center/NY-Presbyterian Hospital, New York, New York, USA
| | - Nina Yoh
- Department of Neurological Surgery, Columbia University Irving Medical Center/NY-Presbyterian Hospital, New York, New York, USA
| | - Peter Canoll
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center/NY-Presbyterian Hospital, New York, New York, USA
- Department of Neurological Surgery, Columbia University Irving Medical Center/NY-Presbyterian Hospital, New York, New York, USA
| | - Jeffrey N Bruce
- Department of Neurological Surgery, Columbia University Irving Medical Center/NY-Presbyterian Hospital, New York, New York, USA
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3
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Ishibashi K, Hirata E. Multifaceted interactions between cancer cells and glial cells in brain metastasis. Cancer Sci 2024. [PMID: 38992968 DOI: 10.1111/cas.16241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 05/20/2024] [Accepted: 05/26/2024] [Indexed: 07/13/2024] Open
Abstract
Cancer brain metastasis has a poor prognosis, is commonly observed in clinical practice, and the number of cases is increasing as overall cancer survival improves. However, experiments in mouse models have shown that brain metastasis itself is an inefficient process. One reason for this inefficiency is the brain microenvironment, which differs significantly from that of other organs, making it difficult for cancer cells to adapt. The brain microenvironment consists of unique resident cell types such as neurons, oligodendrocytes, astrocytes, and microglia. Accumulating evidence over the past decades suggests that the interactions between cancer cells and glial cells can positively or negatively influence the development of brain metastasis. Nevertheless, elucidating the complex interactions between cancer cells and glial cells remains challenging, in part due to the limitations of existing experimental models for glial cell culture. In this review, we first provide an overview of glial cell culture methods and then examine recent discoveries regarding the interactions between brain metastatic cancer cells and the surrounding glial cells, with a special focus on astrocytes and microglia. Finally, we discuss future perspectives for understanding the multifaceted interactions between cancer cells and glial cells for the treatment of metastatic brain tumors.
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Affiliation(s)
- Kojiro Ishibashi
- Division of Tumor Cell Biology and Bioimaging, Cancer Research Institute of Kanazawa University, Kanazawa, Ishikawa, Japan
| | - Eishu Hirata
- Division of Tumor Cell Biology and Bioimaging, Cancer Research Institute of Kanazawa University, Kanazawa, Ishikawa, Japan
- WPI Nano Life Science Institute, Kanazawa University, Kanazawa, Ishikawa, Japan
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4
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Momeny M, Tienhaara M, Sharma M, Chakroborty D, Varjus R, Takala I, Merisaari J, Padzik A, Vogt A, Paatero I, Elenius K, Laajala TD, Kurppa KJ, Westermarck J. DUSP6 inhibition overcomes neuregulin/HER3-driven therapy tolerance in HER2+ breast cancer. EMBO Mol Med 2024; 16:1603-1629. [PMID: 38886591 PMCID: PMC11251193 DOI: 10.1038/s44321-024-00088-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 05/08/2024] [Accepted: 05/24/2024] [Indexed: 06/20/2024] Open
Abstract
Despite clinical benefits of tyrosine kinase inhibitors (TKIs) in cancer, most tumors can reactivate proliferation under TKI therapy. Here we present transcriptional profiling of HER2+ breast cancer cells transitioning from dormant drug tolerant cells to re-proliferating cells under continuous HER2 inhibitor (HER2i) therapy. Focusing on phosphatases, expression of dual-specificity phosphatase DUSP6 was found inhibited in dormant cells, but strongly induced upon regrowth. DUSP6 expression also selectively associated with poor patient survival in HER2+ breast cancers. DUSP6 overexpression conferred apoptosis resistance, whereas its pharmacological blockade prevented therapy tolerance development under HER2i therapy. DUSP6 targeting also synergized with clinically used HER2i combination therapies. Mechanistically DUSP6 is a positive regulator of HER3 expression, and its impact on HER2i tolerance was mediated by neuregulin-HER3 axis. In vivo, genetic targeting of DUSP6 reduced tumor growth in brain metastasis model, whereas its pharmacological targeting induced synthetic lethal therapeutic effect in combination with HER2i. Collectively this work demonstrates that DUSP6 drives escape from HER2i-induced dormancy, and that DUSP6 is a druggable target to overcome HER3-driven TKI resistance.
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Affiliation(s)
- Majid Momeny
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
- The Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
| | - Mari Tienhaara
- Medicity Research Laboratories, Faculty of Medicine, University of Turku, Turku, Finland
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Mukund Sharma
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Deepankar Chakroborty
- Medicity Research Laboratories, Faculty of Medicine, University of Turku, Turku, Finland
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Roosa Varjus
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Iina Takala
- Medicity Research Laboratories, Faculty of Medicine, University of Turku, Turku, Finland
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Joni Merisaari
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Artur Padzik
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Andreas Vogt
- University of Pittsburgh Drug Discovery Institute, Department of Computational and Systems Biology, Pittsburgh Technology Center, Pittsburgh, PA, USA
| | - Ilkka Paatero
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Klaus Elenius
- Medicity Research Laboratories, Faculty of Medicine, University of Turku, Turku, Finland
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Teemu D Laajala
- Department of Mathematics and Statistics, University of Turku, Turku, Finland
| | - Kari J Kurppa
- Medicity Research Laboratories, Faculty of Medicine, University of Turku, Turku, Finland
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Jukka Westermarck
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
- Institute of Biomedicine, University of Turku, Turku, Finland.
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5
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Liu X, Du P, Dai Z, Yi R, Liu W, Wu H, Geng D, Liu J. SRTRP-Net: A multi-task learning network for segmentation and prediction of stereotactic radiosurgery treatment response in brain metastases. Comput Biol Med 2024; 175:108503. [PMID: 38688125 DOI: 10.1016/j.compbiomed.2024.108503] [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: 01/03/2024] [Revised: 03/30/2024] [Accepted: 04/21/2024] [Indexed: 05/02/2024]
Abstract
Before the Stereotactic Radiosurgery (SRS) treatment, it is of great clinical significance to avoid secondary genetic damage and guide the personalized treatment plans for patients with brain metastases (BM) by predicting the response to SRS treatment of brain metastatic lesions. Thus, we developed a multi-task learning model termed SRTRP-Net to provide prior knowledge of BM ROI and predict the SRS treatment response of the lesion. In dual-encoder tumor segmentation Network (DTS-Net), two parallel encoders encode the original and mirrored multi-modal MRI images. The differences in the dual-encoder features between foreground and background are enhanced by the symmetrical visual difference block (SVDB). In the bottom layer of the encoder, a transformer is used to extract local contextual features in the spatial and depth dimensions of low-resolution images. Then, the decoder of DTS-Net provides the prior knowledge for predicting the response to SRS treatment by performing BM segmentation. SRS response prediction network (SRP-Net) directly utilizes shared multi-modal MRI features weighted by the signed distance map (SDM) of the masks. The bidirectional multi-dimensional feature fusion module (BMDF) fuses the shared features and the clinical text information features to obtain comprehensive tumor information for characterizing tumors and predicting SRS treatment response. Experiments based on internal and external clinical datasets have shown that SRTRP-Net achieves comparable or better results. We believe that SRTRP-Net can help clinicians accurately develop personalized first-time treatment regimens for BM patients and improve their survival.
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Affiliation(s)
- Xiao Liu
- School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100089, China.
| | - Peng Du
- Department of Radiology, the Second Affiliated Hospital of Xuzhou Medical University, Jiangsu, 221000, China.
| | - Zhiguang Dai
- CSSC Systems Engineering Research Institute, Beijing, 100094, China.
| | - Rumeng Yi
- CSSC Systems Engineering Research Institute, Beijing, 100094, China.
| | - Weifan Liu
- College of Science, Beijing Forestry University, Beijing, 100089, China.
| | - Hao Wu
- Huashan Hospital, Fudan University, Shanghai, 200020, China.
| | - Daoying Geng
- Huashan Hospital, Fudan University, Shanghai, 200020, China.
| | - Jie Liu
- School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100089, China.
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6
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Ge H, Zhu K, Sun Q, Wang H, Liu H, Ge J, Liu C, Liang P, Lv Z, Bao H. The clinical, molecular, and therapeutic implications of time from primary diagnosis to brain metastasis in lung and breast cancer patients. Cancer Med 2024; 13:e7364. [PMID: 38847084 PMCID: PMC11157198 DOI: 10.1002/cam4.7364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 05/13/2024] [Accepted: 05/27/2024] [Indexed: 06/10/2024] Open
Abstract
PURPOSE Lung cancer (LC) and breast cancer (BC) are the most common causes of brain metastases (BMs). Time from primary diagnosis to BM (TPDBM) refers to the time interval between initial LC or BC diagnosis and development of BM. This research aims to identify clinical, molecular, and therapeutic risk factors associated with shorter TPDBM. METHODS We retrospectively reviewed all diagnosed LC and BC patients with BM at Harbin Medical University Cancer Hospital from 2016 to 2020. A total of 570 patients with LC brain metastasis (LCBM) and 173 patients with breast cancer brain metastasis (BCBM) patients who met the inclusion criteria were enrolled for further analysis. BM free survival time curves were generated using Kaplan-Meier analyses. Univariate and multivariate Cox regression analyses were applied to identify risk factors associated with earlier development of BM in LC and BC, respectively. RESULTS The median TPDBM was 5.3 months in LC and 44.4 months in BC. In multivariate analysis, clinical stage IV and M1 stage were independent risk factors for early development of LCBM. LC patients who received chemotherapy, targeted therapy, pulmonary radiotherapy, and pulmonary surgery had longer TPDBM. For BC patients, age ≥ 50 years, Ki67 ≥ 0.3, HER2 positive or triple-negative breast cancer subtype, advanced N stage, and no mastectomy were correlated with shorter TPDBM. CONCLUSIONS This single-institutional study helps identify patients who have a high risk of developing BM early. For these patients, early detection and intervention could have clinical benefits.
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Affiliation(s)
- Haitao Ge
- Department of NeurosurgeryThe First Affiliated Hospital of Harbin Medical UniversityHarbinChina
| | - Kaibin Zhu
- Department of Thoracic SurgeryHarbin Medical University Cancer HospitalHarbinChina
| | - Qian Sun
- Department of NeurosurgeryHarbin Medical University Cancer HospitalHarbinChina
| | - Huan Wang
- Department of NeurosurgeryHarbin Medical University Cancer HospitalHarbinChina
| | - Hui Liu
- Department of NeurosurgeryHarbin Medical University Cancer HospitalHarbinChina
| | - Jinyi Ge
- Harbin Medical UniversityHarbinChina
| | - Chunyang Liu
- Department of NeurosurgeryThe First Affiliated Hospital of Harbin Medical UniversityHarbinChina
| | - Peng Liang
- Department of NeurosurgeryHarbin Medical University Cancer HospitalHarbinChina
| | - Zhonghua Lv
- Department of NeurosurgeryHarbin Medical University Cancer HospitalHarbinChina
| | - Hongbo Bao
- Department of NeurosurgeryHarbin Medical University Cancer HospitalHarbinChina
- Department of Neurosurgery, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
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7
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Ishibashi K, Ichinose T, Kadokawa R, Mizutani R, Iwabuchi S, Togi S, Ura H, Tange S, Shinjo K, Nakayama J, Nanjo S, Niida Y, Kondo Y, Hashimoto S, Sahai E, Yano S, Nakada M, Hirata E. Astrocyte-induced mGluR1 activates human lung cancer brain metastasis via glutamate-dependent stabilization of EGFR. Dev Cell 2024; 59:579-594.e6. [PMID: 38309264 DOI: 10.1016/j.devcel.2024.01.010] [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: 06/07/2023] [Revised: 12/11/2023] [Accepted: 01/12/2024] [Indexed: 02/05/2024]
Abstract
There are limited methods to stably analyze the interactions between cancer cells and glial cells in vitro, which hinders our molecular understanding. Here, we develop a simple and stable culture method of mouse glial cells, termed mixed-glial culture on/in soft substrate (MGS), which serves well as a platform to study cancer-glia interactions. Using this method, we find that human lung cancer cells become overly dependent on metabotropic glutamate receptor 1 (mGluR1) signaling in the brain microenvironment. Mechanistically, interactions with astrocytes induce mGluR1 in cancer cells through the Wnt-5a/prickle planar cell polarity protein 1 (PRICKLE1)/RE1 silencing transcription factor (REST) axis. Induced mGluR1 directly interacts with and stabilizes the epidermal growth factor receptor (EGFR) in a glutamate-dependent manner, and these cells then become responsive to mGluR1 inhibition. Our results highlight increased dependence on mGluR1 signaling as an adaptive strategy and vulnerability of human lung cancer brain metastasis.
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Affiliation(s)
- Kojiro Ishibashi
- Division of Tumor Cell Biology and Bioimaging, Cancer Research Institute of Kanazawa University, Kanazawa 920-1192, Ishikawa, Japan
| | - Toshiya Ichinose
- Department of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa 920-8641, Ishikawa, Japan
| | - Riki Kadokawa
- Division of Tumor Cell Biology and Bioimaging, Cancer Research Institute of Kanazawa University, Kanazawa 920-1192, Ishikawa, Japan
| | - Ryo Mizutani
- Division of Tumor Cell Biology and Bioimaging, Cancer Research Institute of Kanazawa University, Kanazawa 920-1192, Ishikawa, Japan
| | - Sadahiro Iwabuchi
- Department of Molecular Pathophysiology, Institute of Advanced Medicine, Wakayama Medical University, Wakayama 641-8509, Wakayama, Japan
| | - Sumihito Togi
- Center for Clinical Genomics, Kanazawa Medical University Hospital, Uchinada 920-0293, Ishikawa, Japan; Division of Genomic Medicine, Department of Advanced Medicine, Medical Research Institute, Kanazawa Medical University, Uchinada 920-0293, Ishikawa, Japan
| | - Hiroki Ura
- Center for Clinical Genomics, Kanazawa Medical University Hospital, Uchinada 920-0293, Ishikawa, Japan; Division of Genomic Medicine, Department of Advanced Medicine, Medical Research Institute, Kanazawa Medical University, Uchinada 920-0293, Ishikawa, Japan
| | - Shoichiro Tange
- Department of Medical Genome Sciences, Cancer Research Institute, Sapporo Medical University School of Medicine, Sapporo 060-8556, Hokkaido, Japan
| | - Keiko Shinjo
- Division of Cancer Biology, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Aichi, Japan
| | - Jun Nakayama
- Department of Oncogenesis and Growth Regulation, Research Institute, Osaka International Cancer Institute, Osaka 541-8567, Osaka, Japan
| | - Shigeki Nanjo
- Department of Respiratory Medicine, Kanazawa University Hospital, Kanazawa 920-8641, Ishikawa, Japan; Division of Medical Oncology, Cancer Research Institute of Kanazawa University, Kanazawa 920-8641, Ishikawa, Japan
| | - Yo Niida
- Center for Clinical Genomics, Kanazawa Medical University Hospital, Uchinada 920-0293, Ishikawa, Japan; Division of Genomic Medicine, Department of Advanced Medicine, Medical Research Institute, Kanazawa Medical University, Uchinada 920-0293, Ishikawa, Japan
| | - Yutaka Kondo
- Division of Cancer Biology, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Aichi, Japan
| | - Shinichi Hashimoto
- Department of Molecular Pathophysiology, Institute of Advanced Medicine, Wakayama Medical University, Wakayama 641-8509, Wakayama, Japan
| | - Erik Sahai
- Tumor Cell Biology Laboratory, The Francis Crick Institute, London NW1 1AT, UK
| | - Seiji Yano
- Department of Respiratory Medicine, Kanazawa University Hospital, Kanazawa 920-8641, Ishikawa, Japan; Division of Medical Oncology, Cancer Research Institute of Kanazawa University, Kanazawa 920-8641, Ishikawa, Japan; Nano Life Science Institute, Kanazawa University, Kanazawa 920-1192, Ishikawa, Japan
| | - Mitsutoshi Nakada
- Department of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Kanazawa 920-8641, Ishikawa, Japan
| | - Eishu Hirata
- Division of Tumor Cell Biology and Bioimaging, Cancer Research Institute of Kanazawa University, Kanazawa 920-1192, Ishikawa, Japan; Nano Life Science Institute, Kanazawa University, Kanazawa 920-1192, Ishikawa, Japan.
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8
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Baccili Cury Megid T, Baskurt Z, Ma LX, Barron CC, Farooq A, Saltiel MP, Wang X, Bach Y, Ayoama H, Jang RW, Chen E, Veit-Haibach P, Wang B, Kalimuthu S, Cotton J, Wong R, Mesci A, Elimova E. Leptomeningeal carcinomatosis and brain metastases in gastroesophageal carcinoma: a real-world analysis of clinical and pathologic characteristics and outcomes. J Neurooncol 2024; 167:111-122. [PMID: 38372902 PMCID: PMC10978709 DOI: 10.1007/s11060-024-04576-8] [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: 12/10/2023] [Accepted: 01/16/2024] [Indexed: 02/20/2024]
Abstract
BACKGROUND Brain metastasis (BrM) and Leptomeningeal Carcinomatosis (LMC) are uncommon complications in gastroesophageal carcinoma (GEC) patients. These patients have a poor prognosis and are challenging to treat. We described the clinicopathologic features and outcomes in the largest cohort of Central Nervous System (CNS) metastasis in GEC patients. METHODS single-center retrospective study of GEC treated from 2007 to 2021. Clinicopathologic characteristics and treatment modalities were reviewed. Survival was calculated from the date of CNS diagnosis until date of death/last follow-up using the Kaplan-Meier method. A multivariable Cox proportional hazards regression model was used. RESULTS Of 3283 GEC patients, 100 (3.04%) were diagnosed with BrM and 20 with LMC (0.61%). Patients with known human epidermal growth factor receptor 2 (HER2) status (N = 48), 60% were HER2 positive (defined as IHC 3 + or IHC 2+/FISH+). Among LMC patients most were signet-ring subtype (85%), and only 15% (2/13) were HER2 positive. Median survival was 0.7; 3.8; and 7.7 months in BrM patients treated with best supportive care, radiation, and surgery, respectively (p < 0.001). In LMC, median survival was 0.7 month in patients who had best supportive care (7/19) and 2.8 months for those who had whole brain radiation therapy (p = 0.015). Multivariate analysis showed worse outcomes in ECOG ≥ 2 (p = 0.002), number of BrM ≥ 4 (p < 0.001) and number of metastatic sites (p = 0.009). CONCLUSION HER2 expression were enriched in patients with BrM, while it is uncommon in LMC. Patients treated with surgery followed by radiation had an improved OS in BrM and WBRT benefited patients with LMC.
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Affiliation(s)
| | - Zeynep Baskurt
- Department of Biostatistics, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Lucy X Ma
- Medical Oncology and Hematology at Princess Margaret Cancer Centre, Toronto, Canada
| | - Carly C Barron
- Medical Oncology and Hematology at Princess Margaret Cancer Centre, Toronto, Canada
| | - Abdul Farooq
- Medical Oncology and Hematology at Princess Margaret Cancer Centre, Toronto, Canada
| | | | - Xin Wang
- Medical Oncology and Hematology at Princess Margaret Cancer Centre, Toronto, Canada
| | - Yvonne Bach
- Department of Medical Oncology and Hematology, University of Toronto, Toronto, Canada
| | - Hiroko Ayoama
- Department of Medical Oncology and Hematology, University of Toronto, Toronto, Canada
| | - Raymond W Jang
- Medical Oncology and Hematology at Princess Margaret Cancer Centre, Toronto, Canada
| | - Eric Chen
- Medical Oncology and Hematology at Princess Margaret Cancer Centre, Toronto, Canada
| | - Patrick Veit-Haibach
- Toronto Joint Department Medical Imaging and University Health Network, Sinai Health System, University Medical Imaging Toronto, Women's College Hospital, Toronto, Canada
| | - Ben Wang
- Department of Pathology, Princess Margaret Cancer Centre, Toronto, Canada
| | | | - James Cotton
- Department of Pathology, Princess Margaret Cancer Centre, Toronto, Canada
| | - Rebecca Wong
- Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, Canada
| | - Aruz Mesci
- Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, Canada
| | - Elena Elimova
- Medical Oncology and Hematology at Princess Margaret Cancer Centre, Toronto, Canada.
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9
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Dou QQ, Sun TT, Wang GQ, Tong WB. Inetetamab combined with pyrotinib and chemotherapy in the treatment of breast cancer brain metastasis: A case report. World J Clin Cases 2024; 12:575-581. [PMID: 38322469 PMCID: PMC10841958 DOI: 10.12998/wjcc.v12.i3.575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 11/21/2023] [Accepted: 01/02/2024] [Indexed: 01/18/2024] Open
Abstract
BACKGROUND Breast cancer brain metastasis (BCBM) is an advanced breast disease that is difficult to treat and is associated with a high risk of death. Patient prognosis is usually poor, with reduced quality of life. In this context, we report the case of a patient with HER-2-positive BCBM treated with a macromolecular mAb (inetetamab) combined with a small molecule tyrosine kinase inhibitor (TKI). CASE SUMMARY The patient was a 58-year-old woman with a 12-year history of type 2 diabetes. She was compliant with regular insulin treatment and had good blood glucose control. The patient was diagnosed with invasive carcinoma of the right breast (T3N1M0 stage IIIa, HER2-positive type) through aspiration biopsy of the ipsilateral breast due to the discovery of a breast tumor in February 2019. Immunohistochemistry showed ER (-), PR (-), HER-2 (3+), and Ki-67 (55-60%+). Preoperative neoadjuvant chemotherapy, i.e., the AC-TH regimen (epirubicin, cyclophosphamide, docetaxel-paclitaxel, and trastuzumab), was administered for 8 cycles. She underwent modified radical mastectomy of the right breast in November 2019 and received tocilizumab targeted therapy for 1 year. Brain metastasis was found 9 mo after surgery. She underwent brain metastasectomy in August 2020. Immunohistochemistry showed ER (-) and PR. (-), HER-2 (3+), and Ki-67 (10-20%+). In November 2020, the patient experienced headache symptoms. After an examination, tumor recurrence in the original surgical region of the brain was observed, and the patient was treated with inetetamab, pyrotinib, and capecitabine. Whole-brain radiotherapy was recommended. The patient and her family refused radiotherapy for personal reasons. In September 2021, a routine examination revealed that the brain tumor was considerably larger. The original systemic treatment was continued and combined with intensity-modulated radiation therapy for brain metastases, followed by regular hospitalization and routine examinations. The patient's condition is generally stable, and she has a relatively high quality of life. This case report demonstrates that in patients with BCBM and resistance to trastuzumab, inetetamab combined with pyrotinib and chemotherapy can prolong survival. CONCLUSION Inetetamab combined with small molecule TKI drugs, chemotherapy and radiation may be an effective regimen for maintaining stable disease in patients with BCBM.
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Affiliation(s)
- Qing-Qing Dou
- Graduate Student Institute, Inner Mongolia Medical University, Hohhot 010000, Inner Mongolia Autonomous Region, China
| | - Ting-Ting Sun
- Graduate Student Institute, Inner Mongolia Medical University, Hohhot 010000, Inner Mongolia Autonomous Region, China
| | - Guo-Qiang Wang
- Graduate Student Institute, Inner Mongolia Medical University, Hohhot 010000, Inner Mongolia Autonomous Region, China
| | - Wei-Bing Tong
- Central Breast Area B, Beijing University Cancer Hospital Inner Mongolia Hospital, Hohhot 010000, Inner Mongolia Autonomous Region, China
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10
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Geng X, Kou C, Wang J. The association between graded prognostic assessment and the prognosis of brain metastases after whole brain radiotherapy: a meta-analysis. Front Oncol 2024; 13:1322262. [PMID: 38264750 PMCID: PMC10803601 DOI: 10.3389/fonc.2023.1322262] [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: 10/16/2023] [Accepted: 12/11/2023] [Indexed: 01/25/2024] Open
Abstract
Introduction This meta-analysis aims to provide evidence-based medical evidence for formulating rational treatment strategies and evaluating the prognosis of brain metastasis (BM) patients by assessing the effectiveness of the graded prognostic assessment (GPA) model in predicting the survival prognosis of patients with BM after whole-brain radiotherapy (WBRT). Methods A comprehensive search was conducted in multiple databases, including the China Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), PubMed, Wanfang database, Cochrane Library, Web of Science, and Embase. Cohort studies that met the inclusion and exclusion criteria were selected. The quality of the included literature was evaluated using the Newcastle-Ottawa Scale, and all statistical analyses were performed with R version 4.2.2. The effect size (ES) was measured by the hazard ratio (HR) of overall survival (OS). The OS rates at 3, 6, 12, and 24 months of patients with BM were compared between those with GPAs of 1.5-2.5, 3.0, and 3.5-4.0 and those with GPAs of 0-1 after WBRT. Results A total of 1,797 participants who underwent WBRT were included in this study. The meta-analysis revealed a significant association between GPA and OS rates after WBRT: compared with BM patients with GPA of 0-1, 3-month OS rates after WBRT were significantly higher in BM patients with GPA of 1.5-2.5 (HR = 0.48; 95% CI: 0.40-0.59), GPA of 3 (HR = 0.38; 95% CI: 0.25-0.57), and GPA of 3.5-4 (HR = 0.28; 95% CI: 0.15-0.52); 6-month OS rates after WBRT were significantly higher in BM patients with GPA of 1.5-2.5 (HR = 0.48; 95% CI: 0.41-0.56), GPA of 3 (HR = 0.33; 95% CI: 0.24-0.45), and GPA of 3.5-4 (HR = 0.24; 95% CI: 0.16-0.35); 12-month OS rates after WBRT were significantly higher in BM patients with GPA of 1.5-2.5 (HR = 0.49; 95% CI: 0.41-0.58), GPA of 3 (HR = 0.48; 95% CI: 0.32-0.73), and GPA of 3.5-4 (HR = 0.31; 95% CI: 0.12-0.79); and 24-month OS rates after WBRT were significantly higher in BM patients with GPA of 1.5-2.5 (HR = 0.49; 95% CI: 0.42-0.58), GPA of 3 (HR = 0.49; 95% CI: 0.32-0.74), and GPA of 3.5-4 (HR = 0.38; 95% CI: 0.15-0.94). Conclusion BM patients with higher GPAs generally exhibited better prognoses and survival outcomes after WBRT compared to those with lower GPAs. Systematic review registration https://www.crd.york.ac.uk/prospero/, identifier CRD42023422914.
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Affiliation(s)
- Xiaohan Geng
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Changgui Kou
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Jianfeng Wang
- Department of Radiotherapy, China-Japan Union Hospital, Jilin University, Changchun, China
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11
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Mashiach E, Alzate JD, De Nigris Vasconcellos F, Bernstein K, Donahue BR, Schnurman Z, Gurewitz J, Rotman LE, Adams S, Meyers M, Oratz R, Novik Y, Kwa MJ, Silverman JS, Sulman EP, Golfinos JG, Kondziolka D. Long-term Survival From Breast Cancer Brain Metastases in the Era of Modern Systemic Therapies. Neurosurgery 2024; 94:154-164. [PMID: 37581437 DOI: 10.1227/neu.0000000000002640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 06/14/2023] [Indexed: 08/16/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Median survival for all patients with breast cancer with brain metastases (BCBMs) has increased in the era of targeted therapy (TT) and with improved local control of intracranial tumors using stereotactic radiosurgery (SRS) and surgical resection. However, detailed characterization of the patients with long-term survival in the past 5 years remains sparse. The aim of this article is to characterize patients with BCBM who achieved long-term survival and identify factors associated with the uniquely better outcomes and to find predictors of mortality for patients with BCBM. METHODS We reviewed 190 patients with breast cancer with 931 brain tumors receiving SRS who were followed at our institution with prospective data collection between 2012 and 2022. We analyzed clinical, molecular, and imaging data to assess relationship to outcomes and tumor control. RESULTS The median overall survival from initial SRS and from breast cancer diagnosis was 25 months (95% CI 19-31 months) and 130 months (95% CI 100-160 months), respectively. Sixteen patients (17%) achieved long-term survival (survival ≥5 years from SRS), 9 of whom are still alive. Predictors of long-term survival included HER2+ status ( P = .041) and treatment with TT ( P = .046). A limited number of patients (11%) died of central nervous system (CNS) causes. A predictor of CNS-related death was the development of leptomeningeal disease after SRS ( P = .025), whereas predictors of non-CNS death included extracranial metastases at first SRS ( P = .017), triple-negative breast cancer ( P = .002), a Karnofsky Performance Status of <80 at first SRS ( P = .002), and active systemic disease at last follow-up ( P = .001). Only 13% of patients eventually needed whole brain radiotherapy. Among the long-term survivors, none died of CNS progression. CONCLUSION Patients with BCBM can achieve long-term survival. The use of TT and HER2+ disease are associated with long-term survival. The primary cause of death was extracranial disease progression, and none of the patients living ≥5 years died of CNS-related disease.
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Affiliation(s)
- Elad Mashiach
- Department of Neurological Surgery, NYU Langone Health, New York University, New York , New York , USA
| | - Juan Diego Alzate
- Department of Neurological Surgery, NYU Langone Health, New York University, New York , New York , USA
| | | | - Kenneth Bernstein
- Department of Radiation Oncology, NYU Langone Health, New York University, New York , New York , USA
| | - Bernadine R Donahue
- Department of Radiation Oncology, NYU Langone Health, New York University, New York , New York , USA
| | - Zane Schnurman
- Department of Neurological Surgery, NYU Langone Health, New York University, New York , New York , USA
| | - Jason Gurewitz
- Department of Radiation Oncology, NYU Langone Health, New York University, New York , New York , USA
| | - Lauren E Rotman
- Department of Neurological Surgery, NYU Langone Health, New York University, New York , New York , USA
| | - Sylvia Adams
- Department of Medical Oncology, Perlmutter Cancer Center, NYU Langone Health, New York University, New York , New York , USA
- Department of Medicine, NYU Langone Health, New York University, New York , New York , USA
| | - Marleen Meyers
- Department of Medical Oncology, Perlmutter Cancer Center, NYU Langone Health, New York University, New York , New York , USA
- Department of Medicine, NYU Langone Health, New York University, New York , New York , USA
| | - Ruth Oratz
- Department of Medical Oncology, Perlmutter Cancer Center, NYU Langone Health, New York University, New York , New York , USA
- Department of Medicine, NYU Langone Health, New York University, New York , New York , USA
| | - Yelena Novik
- Department of Medical Oncology, Perlmutter Cancer Center, NYU Langone Health, New York University, New York , New York , USA
- Department of Medicine, NYU Langone Health, New York University, New York , New York , USA
| | - Maryann J Kwa
- Department of Medical Oncology, Perlmutter Cancer Center, NYU Langone Health, New York University, New York , New York , USA
- Department of Medicine, NYU Langone Health, New York University, New York , New York , USA
| | - Joshua S Silverman
- Department of Radiation Oncology, NYU Langone Health, New York University, New York , New York , USA
| | - Erik P Sulman
- Department of Radiation Oncology, NYU Langone Health, New York University, New York , New York , USA
| | - John G Golfinos
- Department of Neurological Surgery, NYU Langone Health, New York University, New York , New York , USA
| | - Douglas Kondziolka
- Department of Neurological Surgery, NYU Langone Health, New York University, New York , New York , USA
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12
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Michaelson NM, Watsula A, Bakare-Okpala A, Mohamadpour M, Chukwueke UN, Budhu JA. Disparities in Neuro-Oncology. Curr Neurol Neurosci Rep 2023; 23:815-825. [PMID: 37889427 DOI: 10.1007/s11910-023-01314-x] [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] [Accepted: 10/16/2023] [Indexed: 10/28/2023]
Abstract
PURPOSEOF REVIEW Health disparities are preventable differences in the diagnosis, treatment, and outcomes of many diseases, including central nervous system (CNS) tumors. This review will summarize and compile the existing literature on health disparities in neuro-oncology and provide directions for future research and interventions. RECENT FINDINGS Patients from historically marginalized groups are more likely to receive inadequate treatment, develop complications, and experience a shorter life expectancy. Financial toxicity can be particularly severe for patients with CNS tumors due to the high costs of treatment. Additionally, CNS clinical trials and research lack diverse representation.
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Affiliation(s)
| | - Amanda Watsula
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Maliheh Mohamadpour
- Department of Neurology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, C719, USA
| | - Ugonma N Chukwueke
- Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Joshua A Budhu
- Department of Neurology, Weill Cornell Medicine, New York, NY, USA.
- Department of Neurology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, C719, USA.
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13
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Lee J, Kim HJ, Kim WC. CyberKnife-based stereotactic radiosurgery or fractionated stereotactic radiotherapy in older patients with brain metastases from non-small cell lung cancer. Radiat Oncol J 2023; 41:258-266. [PMID: 38185930 PMCID: PMC10772598 DOI: 10.3857/roj.2023.00563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 01/09/2024] Open
Abstract
PURPOSE We analyzed clinical results of CyberKnife (CK)-based stereotactic radiosurgery (SRS) or fractionated stereotactic radiotherapy (FSRT) in older patients (age ≥65 years) affected by brain metastases (BM) from non-small cell lung cancer (NSCLC). MATERIALS AND METHODS Forty-three older patients with 92 BM were treated with CK-based SRS/FSRT at our institution between 2009 and 2019. The end-point was overall survival (OS). Univariate and multivariate analyses were performed to identify the prognostic factors influencing OS. The in-field local control (IFLC) within the SRS/FSRT field was also assessed. RESULTS During a median follow-up period of 18 months, the median OS was 32 months. NSCLC-specific graded prognostic assessment (GPA) (p = 0.027) was an independent significant factor affecting OS in the multivariate analysis. The median IFLC period was 31 months, and the total BM volume (p = 0.025) appeared to be a significant feature of IFLC. No adverse events >grade 2 were reported after SRS/FSRT. CONCLUSION CK-based SRS/FSRT is a safe and efficient option for older patients with BM arising from NSCLC, showing good OS without severe side effects. GPA, which was consisted in age, performance status, extra-cerebral metastasis, and number of BM, seemed to be predictive factors for OS.
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Affiliation(s)
- Jeongshim Lee
- Department of Radiation Oncology, Inha University Hospital, Inha University School of Medicine, Incheon, Korea
| | - Hun Jung Kim
- Department of Radiation Oncology, Inha University Hospital, Inha University School of Medicine, Incheon, Korea
| | - Woo Chul Kim
- Department of Radiation Oncology, Inha University Hospital, Inha University School of Medicine, Incheon, Korea
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14
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Du P, Liu X, Xiang R, Lv K, Chen H, Liu W, Cao A, Chen L, Wang X, Yu T, Ding J, Li W, Li J, Li Y, Yu Z, Zhu L, Liu J, Geng D. Development and validation of a radiomics-based prediction pipeline for the response to stereotactic radiosurgery therapy in brain metastases. Eur Radiol 2023; 33:8925-8935. [PMID: 37505244 DOI: 10.1007/s00330-023-09930-4] [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: 04/30/2022] [Revised: 03/31/2023] [Accepted: 05/02/2023] [Indexed: 07/29/2023]
Abstract
OBJECTIVES The first treatment strategy for brain metastases (BM) plays a pivotal role in the prognosis of patients. Among all strategies, stereotactic radiosurgery (SRS) is considered a promising therapy method. Therefore, we developed and validated a radiomics-based prediction pipeline to prospectively identify BM patients who are insensitive to SRS therapy, especially those who are at potential risk of progressive disease. METHODS A total of 337 BM patients (277, 30, and 30 in the training set, internal validation set, and external validation set, respectively) were enrolled in the study. 19,377 radiomics features (3 masks × 3 MRI sequences × 2153 features) extracted from 9 ROIs were filtered through LASSO and Max-Relevance and Min-Redundancy (mRMR) algorithms. The selected radiomics features were combined with 4 clinical features to construct a two-stage cascaded model for the prediction of BM patients' response to SRS therapy using SVM and an ensemble learning classifier. The performance of the model was evaluated by its accuracy, specificity, sensitivity, and AUC curve. RESULTS Radiomics features were integrated with the clinical features of patients in our optimal model, which showed excellent discriminative performance in the training set (AUC: 0.95, 95% CI: 0.88-0.98). The model was also verified in the internal validation set and external validation set (AUC 0.93, 95% CI: 0.76-0.95 and AUC 0.90, 95% CI: 0.73-0.93, respectively). CONCLUSIONS The proposed prediction pipeline could non-invasively predict the response to SRS therapy in patients with brain metastases thus assisting doctors to precisely designate individualized first treatment decisions. CLINICAL RELEVANCE STATEMENT The proposed prediction pipeline combines the radiomics features of multi-modal MRI with clinical features to construct machine learning models that noninvasively predict the response of patients with brain metastases to stereotactic radiosurgery therapy, assisting neuro-oncologists to develop personalized first treatment plans. KEY POINTS • The proposed prediction pipeline can non-invasively predict the response to SRS therapy. • The combination of multi-modality and multi-mask contributes significantly to the prediction. • The edema index also shows a certain predictive value.
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Affiliation(s)
- Peng Du
- Department of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Middle Road, Shanghai, 200040, China
- Center for Shanghai Intelligent Imaging for Critical Brain Diseases Engineering and Technology Research, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiao Liu
- School of Computer and Information Technology, Beijing Jiaotong University, No.3 Shangyuancun, Haidian District, Beijing, 100044, China
| | - Rui Xiang
- Academy for Engineering and Technology, Fudan University, Shanghai, China
| | - Kun Lv
- Department of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Middle Road, Shanghai, 200040, China
| | - Hongyi Chen
- Academy for Engineering and Technology, Fudan University, Shanghai, China
| | - Weifan Liu
- Department of Mathematics, Syracuse University, Syracuse, NY, USA
| | - Aihong Cao
- Department of Radiology, the Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Lang Chen
- Department of Radiology, the Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Xuefeng Wang
- Department of Radiotherapy, the Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Tonggang Yu
- Department of Radiology, Shanghai Gamma Hospital, Huashan Hospital, Fudan University, Shanghai, China
| | - Jian Ding
- Department of Radiology, Shanghai Gamma Hospital, Huashan Hospital, Fudan University, Shanghai, China
| | - Wuchao Li
- Department of Radiology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China
| | - Jie Li
- Department of Gynecology, Jinan Central Hospital, Jinan, China
| | - Yuxin Li
- Department of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Middle Road, Shanghai, 200040, China
- Center for Shanghai Intelligent Imaging for Critical Brain Diseases Engineering and Technology Research, Huashan Hospital, Fudan University, Shanghai, China
- Department of Mathematics, Syracuse University, Syracuse, NY, USA
| | - Zekuan Yu
- Academy for Engineering and Technology, Fudan University, Shanghai, China
- Department of Mathematics, Syracuse University, Syracuse, NY, USA
| | - Li Zhu
- Department of Radiology, Shanghai Chest Hospital, Shanghai Jiaotong University, 241 West Huaihai Road, Shanghai, 200030, China.
| | - Jie Liu
- Center for Shanghai Intelligent Imaging for Critical Brain Diseases Engineering and Technology Research, Huashan Hospital, Fudan University, Shanghai, China.
| | - Daoying Geng
- Department of Radiology, Huashan Hospital, Fudan University, 12 Wulumuqi Middle Road, Shanghai, 200040, China.
- Center for Shanghai Intelligent Imaging for Critical Brain Diseases Engineering and Technology Research, Huashan Hospital, Fudan University, Shanghai, China.
- Academy for Engineering and Technology, Fudan University, Shanghai, China.
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15
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Hussen BM, Abdullah KH, Abdullah SR, Majeed NM, Mohamadtahr S, Rasul MF, Dong P, Taheri M, Samsami M. New insights of miRNA molecular mechanisms in breast cancer brain metastasis and therapeutic targets. Noncoding RNA Res 2023; 8:645-660. [PMID: 37818447 PMCID: PMC10560790 DOI: 10.1016/j.ncrna.2023.09.003] [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: 06/15/2023] [Revised: 09/17/2023] [Accepted: 09/17/2023] [Indexed: 10/12/2023] Open
Abstract
Brain metastases in breast cancer (BC) patients are often associated with a poor prognosis. Recent studies have uncovered the critical roles of miRNAs in the initiation and progression of BC brain metastasis, highlighting the disease's underlying molecular pathways. miRNA-181c, miRNA-10b, and miRNA-21, for example, are all overexpressed in BC patients. It has been shown that these three miRNAs help tumors grow and metastasize by targeting genes that control how cells work. On the other hand, miRNA-26b5p, miRNA-7, and miRNA-1013p are all downregulated in BC brain metastasis patients. They act as tumor suppressors by controlling the expression of genes related to cell adhesion, angiogenesis, and invasion. Therapeutic miRNA targeting has considerable promise in treating BC brain metastases. Several strategies have been proposed to modulate miRNA expression, including miRNA-Mimics, antagomirs, and small molecule inhibitors of miRNA biogenesis. This review discusses the aberrant expression of miRNAs and metastatic pathways that lead to the spread of BC cells to the brain. It also explores miRNA therapeutic target molecular mechanisms and BC brain metastasis challenges with advanced strategies. The targeting of certain miRNAs opens a new door for the development of novel therapeutic approaches for this devastating disease.
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Affiliation(s)
- Bashdar Mahmud Hussen
- Department of Biomedical Sciences, College of Science, Cihan University-Erbil, Kurdistan Region, 44001, Iraq
- Department of Clinical Analysis, College of Pharmacy, Hawler Medical University, Kurdistan Region, Erbil, Iraq
| | - Khozga Hazhar Abdullah
- Medical Laboratory Science, College of Health Sciences, Lebanese French University, Kurdistan Region, Erbil, Iraq
| | - Snur Rasool Abdullah
- Medical Laboratory Science, College of Health Sciences, Lebanese French University, Kurdistan Region, Erbil, Iraq
| | | | - Sayran Mohamadtahr
- Department of Pharmacology and Toxicology, College of Pharmacy, Hawler Medical University, Erbil, Iraq
| | - Mohammed Fatih Rasul
- Department of Pharmaceutical Basic Science, Tishk International University, Erbil, Kurdistan Region, Iraq
| | - Peixin Dong
- Department of Obstetrics and Gynecology, Hokkaido University School of Medicine, Hokkaido University, Sapporo, Japan
| | - Mohammad Taheri
- Institute of Human Genetics, Jena University Hospital, Jena, Germany
- Urology and Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Majid Samsami
- Cancer Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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16
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Leskinen S, Shah HA, D' Amico RS, Wernicke AG. Partial hippocampal avoidance whole brain radiotherapy in a patient with metastatic infiltration of the left hippocampus. BMJ Case Rep 2023; 16:e257988. [PMID: 37996143 PMCID: PMC10668158 DOI: 10.1136/bcr-2023-257988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2023] Open
Affiliation(s)
- Sandra Leskinen
- SUNY Downstate Health Sciences University College of Medicine, New York, New York, USA
| | - Harshal A Shah
- Department of Neurosurgery, Lenox Hill Hospital and Zucker School of Medicine at Hofstra/Northwell, New York, New York, USA
| | - Randy S D' Amico
- Department of Neurosurgery, Lenox Hill Hospital and Zucker School of Medicine at Hofstra/Northwell, New York, New York, USA
| | - A Gabriella Wernicke
- Department of Radiation Medicine, Lenox Hill Hospital and Zucker School of Medicine at Hofstra/Northwell, New York, New York, USA
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17
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Srinivasan ES, Liu Y, Odion RA, Chongsathidkiet P, Wachsmuth LP, Haskell-Mendoza AP, Edwards RM, Canning AJ, Willoughby G, Hinton J, Norton SJ, Lascola CD, Maccarini PF, Mariani CL, Vo-Dinh T, Fecci PE. Gold Nanostars Obviate Limitations to Laser Interstitial Thermal Therapy (LITT) for the Treatment of Intracranial Tumors. Clin Cancer Res 2023; 29:3214-3224. [PMID: 37327318 PMCID: PMC10425731 DOI: 10.1158/1078-0432.ccr-22-1871] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 03/27/2023] [Accepted: 06/14/2023] [Indexed: 06/18/2023]
Abstract
PURPOSE Laser interstitial thermal therapy (LITT) is an effective minimally invasive treatment option for intracranial tumors. Our group produced plasmonics-active gold nanostars (GNS) designed to preferentially accumulate within intracranial tumors and amplify the ablative capacity of LITT. EXPERIMENTAL DESIGN The impact of GNS on LITT coverage capacity was tested in ex vivo models using clinical LITT equipment and agarose gel-based phantoms of control and GNS-infused central "tumors." In vivo accumulation of GNS and amplification of ablation were tested in murine intracranial and extracranial tumor models followed by intravenous GNS injection, PET/CT, two-photon photoluminescence, inductively coupled plasma mass spectrometry (ICP-MS), histopathology, and laser ablation. RESULTS Monte Carlo simulations demonstrated the potential of GNS to accelerate and specify thermal distributions. In ex vivo cuboid tumor phantoms, the GNS-infused phantom heated 5.5× faster than the control. In a split-cylinder tumor phantom, the GNS-infused border heated 2× faster and the surrounding area was exposed to 30% lower temperatures, with margin conformation observed in a model of irregular GNS distribution. In vivo, GNS preferentially accumulated within intracranial tumors on PET/CT, two-photon photoluminescence, and ICP-MS at 24 and 72 hours and significantly expedited and increased the maximal temperature achieved in laser ablation compared with control. CONCLUSIONS Our results provide evidence for use of GNS to improve the efficiency and potentially safety of LITT. The in vivo data support selective accumulation within intracranial tumors and amplification of laser ablation, and the GNS-infused phantom experiments demonstrate increased rates of heating, heat contouring to tumor borders, and decreased heating of surrounding regions representing normal structures.
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Affiliation(s)
- Ethan S. Srinivasan
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - Yang Liu
- Department of Biomedical Engineering, Duke University, Durham, North Carolina
- Department of Chemistry, Duke University, Durham, North Carolina
- Fitzpatrick Institute of Photonics, Duke University, Durham, North Carolina
| | - Ren A. Odion
- Department of Biomedical Engineering, Duke University, Durham, North Carolina
- Fitzpatrick Institute of Photonics, Duke University, Durham, North Carolina
| | - Pakawat Chongsathidkiet
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
- Department of Pathology, Duke University Medical Center, Durham, North Carolina
| | - Lucas P. Wachsmuth
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | | | - Ryan M. Edwards
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - Aidan J. Canning
- Department of Biomedical Engineering, Duke University, Durham, North Carolina
- Fitzpatrick Institute of Photonics, Duke University, Durham, North Carolina
| | - Gavin Willoughby
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
- Department of Pathology, Duke University Medical Center, Durham, North Carolina
| | - Joseph Hinton
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
- Department of Pathology, Duke University Medical Center, Durham, North Carolina
| | - Stephen J. Norton
- Department of Biomedical Engineering, Duke University, Durham, North Carolina
- Fitzpatrick Institute of Photonics, Duke University, Durham, North Carolina
| | - Christopher D. Lascola
- Department of Radiology, Duke University Medical Center, Durham, North Carolina
- Department of Neurobiology, Duke University Medical Center, Durham, North Carolina
| | - Paolo F. Maccarini
- Department of Biomedical Engineering, Duke University, Durham, North Carolina
- Fitzpatrick Institute of Photonics, Duke University, Durham, North Carolina
| | - Christopher L. Mariani
- Department of Clinical Sciences, NC State College of Veterinary Medicine, Raleigh, North Carolina
| | - Tuan Vo-Dinh
- Department of Biomedical Engineering, Duke University, Durham, North Carolina
- Department of Chemistry, Duke University, Durham, North Carolina
- Fitzpatrick Institute of Photonics, Duke University, Durham, North Carolina
| | - Peter E. Fecci
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
- Department of Pathology, Duke University Medical Center, Durham, North Carolina
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18
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Chen VE, Kim M, Nelson N, Kim IK, Shi W. Cost-effectiveness analysis of 3 radiation treatment strategies for patients with multiple brain metastases. Neurooncol Pract 2023; 10:344-351. [PMID: 37457226 PMCID: PMC10346394 DOI: 10.1093/nop/npac093] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2023] Open
Abstract
Background Patients diagnosed with multiple brain metastases often survive for less than 2 years, and clinicians must carefully evaluate the impact of interventions on quality of life. Three types of radiation treatment are widely accepted for patients with multiple brain metastases: Whole brain radiation therapy (WBRT), hippocampal avoidance whole-brain radiation therapy (HA-WBRT), and stereotactic radiosurgery (SRS). WBRT, the standard option, is less costly than its newer alternatives but causes more severe adverse effects such as memory loss. To determine whether the cost-effectiveness ratio of HA-WBRT and SRS are superior to WBRT, we used published data to simulate cases of multiple brain metastases. Methods We designed a Markov model using data from previously published studies to simulate the disease course of patients with 5 to 15 brain metastases and determine the cost-effectiveness of HA-WBRT and SRS relative to WBRT. Incremental cost-effectiveness ratios (ICERs) were calculated and compared against a willingness-to-pay threshold of $100 000 per quality-adjusted life year. Results SRS met the threshold for cost-effectiveness, with ICERs ranging $41 198-$54 852 for patients with 5 to 15 brain metastases; however, HA-WBRT was not cost-effective, with an ICER of $163 915 for all simulated patients. Model results were robust to sensitivity analyses. Conclusions We propose that SRS, but not HA-WBRT, should be offered to patients with multiple brain metastases as a treatment alternative to standard WBRT. Incorporating these findings into clinical practice will help promote patient-centered care and decrease national healthcare expenditures, thereby addressing issues around health equity and access to care.
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Affiliation(s)
- Victor Eric Chen
- Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Minchul Kim
- Center for Outcomes Research, University of Illinois College of Medicine at Peoria, Peoria, Illinois, USA
| | - Nicolas Nelson
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Inkyu Kevin Kim
- College of Population Health, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Wenyin Shi
- Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
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19
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Fiore G, Tariciotti L, Bertani GA, Gagliano D, D’Ammando A, Ampollini AM, Schisano L, Borsa S, Pluderi M, Locatelli M, Caroli M. Surgery vs. Radiosurgery for Patients with Localized Metastatic Brain Disease: A Systematic Review with Meta-Analysis of Randomized Controlled Trials. Cancers (Basel) 2023; 15:3802. [PMID: 37568618 PMCID: PMC10417431 DOI: 10.3390/cancers15153802] [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: 06/23/2023] [Revised: 07/18/2023] [Accepted: 07/25/2023] [Indexed: 08/13/2023] Open
Abstract
Purpose: To analyze the efficacy and safety of surgery compared to radiosurgery (RS), combined or not with whole brain radiotherapy (WBRT), for localized metastatic brain disease. Methods: A systematic review with meta-analysis was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. The inclusion criteria were limited to randomized controlled trials (RCTs) that compared surgery and RS for patients with up to 3 metastases (median diameter ≤ 4 cm). The primary outcomes were represented by overall survival (OS) and local brain progression-free survival (PFS), with the rate of complications as a secondary outcome. The pooled estimates were calculated using random forest models. The risk of bias was evaluated using the RoB2 revised tool and the certainty of the evidence was assessed according to the GRADE guidelines. Results: In total, 11,256 records were identified through database and register searches. After study selection, 3 RCTs and 353 patients were included in the quantitative synthesis. Surgery and RS represented the main intervention arms in all the included RCTs. Conclusions: A low level of evidence suggests that RS alone and surgery followed by WBRT provide an equal rate of local brain PFS in patients with localized metastatic brain disease. There is a very low level of evidence that surgery and RS as main interventions offer equivalent OS in the population investigated. A reliable assessment of the complication rates among surgery and RS was not achievable. The lack of high-certainty evidence either for superiority or equivalence of these treatments emphasizes the need for further, more accurate, RCTs comparing surgery and RS as local treatment in patients with oligometastatic brain disease.
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Affiliation(s)
- Giorgio Fiore
- Unit of Neurosurgery, IRCCS Ca’ Granda Foundation Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122 Milan, Italy
- Department of Medical and Surgical Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, Queen Square, London WC1N 3BG, UK
| | - Leonardo Tariciotti
- Unit of Neurosurgery, IRCCS Ca’ Granda Foundation Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122 Milan, Italy
- Department of Medical and Surgical Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy
| | - Giulio Andrea Bertani
- Unit of Neurosurgery, IRCCS Ca’ Granda Foundation Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122 Milan, Italy
| | - Dario Gagliano
- Unit of Neurosurgery, IRCCS Ca’ Granda Foundation Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122 Milan, Italy
- Department of Medical and Surgical Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy
| | - Antonio D’Ammando
- Unit of Neurosurgery, IRCCS Ca’ Granda Foundation Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122 Milan, Italy
| | - Antonella Maria Ampollini
- Unit of Neurosurgery, IRCCS Ca’ Granda Foundation Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122 Milan, Italy
| | - Luigi Schisano
- Unit of Neurosurgery, IRCCS Ca’ Granda Foundation Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122 Milan, Italy
| | - Stefano Borsa
- Unit of Neurosurgery, IRCCS Ca’ Granda Foundation Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122 Milan, Italy
| | - Mauro Pluderi
- Unit of Neurosurgery, IRCCS Ca’ Granda Foundation Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122 Milan, Italy
| | - Marco Locatelli
- Unit of Neurosurgery, IRCCS Ca’ Granda Foundation Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122 Milan, Italy
- Department of Medical and Surgical Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy
| | - Manuela Caroli
- Unit of Neurosurgery, IRCCS Ca’ Granda Foundation Ospedale Maggiore Policlinico, Via Francesco Sforza, 35, 20122 Milan, Italy
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20
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Calderon B, Vazquez L, Belkacemi M, Pourel N. Stereotactic radiotherapy for brain metastases: predictive factors of radionecrosis. Eur J Med Res 2023; 28:233. [PMID: 37443046 DOI: 10.1186/s40001-023-01178-4] [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: 12/07/2021] [Accepted: 06/20/2023] [Indexed: 07/15/2023] Open
Abstract
PURPOSE Stereotactic radiotherapy (SRT) is a highly effective approach and represents the current standard of treatment for patients with limited number of brain metastasis (BM). SRT is generally well tolerated but can sometimes lead to radionecrosis (RN). The aim of this study was to identify predictive factors of radionecrosis related to SRT for brain metastasis. METHODS This retrospective observational cohort study included patients who underwent SRT in the Institut Sainte Catherine between January 1st, 2017 and December 31st, 2020 for the treatment of brain metastasis from any cancer. Individual data and particularly signs of radionecrosis (clinical, imaging, anatomopathological) were collected from electronic medical records. Radionecrosis was defined as the occurrence on MRI of contrast-enhancing necrotic lesions, surrounded by edema, occurring at least 6 months after SRT and localized within fields of irradiation. RESULTS 123 patients were included; median age was 66 years. 17 patients (11.8%) developed radionecrosis after a median follow up of 418.5 days [63;1498]. Predictive factors of radionecrosis in multivariate analysis were age under 66 years with a sensitivity of 77% and a specificity of 56%. No other factor as the presence of comorbidities, the number of irradiated metastases, the PTV volume or the volume of irradiated healthy brain were predictive of radionecrosis. CONCLUSION Age at treatment initiation and tumor location seems to be correlated with radionecrosis in patients with brain metastasis treated with SRT. These elements could be useful to adapted radiation therapy.
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Affiliation(s)
- Benoît Calderon
- Institut Sainte Catherine, 250 Chemin Des Baigne-Pieds, 84000, Avignon, France
| | - Léa Vazquez
- Institut Sainte Catherine, 250 Chemin Des Baigne-Pieds, 84000, Avignon, France.
| | | | - Nicolas Pourel
- Institut Sainte Catherine, 250 Chemin Des Baigne-Pieds, 84000, Avignon, France
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21
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Yu Y, Huang K, Lin Y, Zhang J, Song C. Tyrosine kinase inhibitors in HER2-positive breast cancer brain metastases: A systematic review and meta-analysis. Cancer Med 2023; 12:15090-15100. [PMID: 37255389 PMCID: PMC10417165 DOI: 10.1002/cam4.6180] [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: 05/23/2022] [Revised: 05/04/2023] [Accepted: 05/20/2023] [Indexed: 06/01/2023] Open
Abstract
BACKGROUND Small tyrosine kinase inhibitors (TKIs) show activity against breast cancer brain metastases (BCBM) of the human epidermal growth factor receptor 2 (HER2)-positive subtype. This meta-analysis aimed to objectively explore the efficacy and safety of TKIs. METHODS Electronic databases were searched for relevant clinical trials. We conducted a pairwise meta-analysis, pooled analysis, and estimated summary survival curves to compare survival outcomes following TKIs therapy for BCBM patients using Stata version 16.0 or R x64 4.0.5. RESULTS Thirteen clinical trials involving 987 HER2-positive BCBM patients were analyzed. A trend of longer progression-free survival (PFS) was observed in the TKI-containing arm compared to the non-TKI-containing arm (hazard ratio = 0.64, 95% confidence interval [CI]: 0.35-1.15, p = 0.132), although the difference is not statistically significant. Summary survival curves reported the summary median PFS and overall survival were 7.9 months and 12.3 months. Subgroup analysis revealed that TKIs combined with capecitabine (TKI + Cap) regimens resulted in improved survival outcomes. Tucatinib may be more effective in BCBM patients. The main grade 3-5 adverse events (AEs) were diarrhea (22%, 95% CI: 14%-32%), neutropenia (11%, 95% CI: 5%-18%), hepatic toxicity (7%, 95% CI: 1%-16%), and sensory neuropathy (6%, 95% CI: 2%-12%). CONCLUSION TKIs therapy improved the survival outcomes of HER2-positive BCBM patients, especially when combined with capecitabine and tolerable AEs. We also identified the clinical value of tucatinib, which appears to be the most favorable TKI drug for BCBM patients.
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Affiliation(s)
- Yushuai Yu
- Department of Breast SurgeryFujian Medical University Union HospitalFuzhouChina
- Breast Cancer Institute, Fujian Medical UniversityFuzhouChina
| | - Kaiyan Huang
- Department of Breast SurgeryFujian Medical University Union HospitalFuzhouChina
- Breast Cancer Institute, Fujian Medical UniversityFuzhouChina
| | - Yuxiang Lin
- Department of Breast SurgeryFujian Medical University Union HospitalFuzhouChina
- Breast Cancer Institute, Fujian Medical UniversityFuzhouChina
- Department of General SurgeryFujian Medical University Union HospitalFuzhouChina
| | - Jie Zhang
- Department of Breast SurgeryFujian Medical University Union HospitalFuzhouChina
- Breast Cancer Institute, Fujian Medical UniversityFuzhouChina
- Department of General SurgeryFujian Medical University Union HospitalFuzhouChina
| | - Chuangui Song
- Department of Breast SurgeryFujian Medical University Union HospitalFuzhouChina
- Breast Cancer Institute, Fujian Medical UniversityFuzhouChina
- Department of General SurgeryFujian Medical University Union HospitalFuzhouChina
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22
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Kim AE, Nieblas-Bedolla E, de Sauvage MA, Brastianos PK. Leveraging translational insights toward precision medicine approaches for brain metastases. NATURE CANCER 2023; 4:955-967. [PMID: 37491527 PMCID: PMC10644911 DOI: 10.1038/s43018-023-00585-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 05/15/2023] [Indexed: 07/27/2023]
Abstract
Due to increasing incidence and limited treatments, brain metastases (BM) are an emerging unmet need in modern oncology. Development of effective therapeutics has been hindered by unique challenges. Individual steps of the brain metastatic cascade are driven by distinctive biological processes, suggesting that BM possess intrinsic biological differences compared to primary tumors. Here, we discuss the unique physiology and metabolic constraints specific to BM as well as emerging treatment strategies that leverage potential vulnerabilities.
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Affiliation(s)
- Albert E Kim
- Center for Cancer Research, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Edwin Nieblas-Bedolla
- Center for Cancer Research, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Magali A de Sauvage
- Center for Cancer Research, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Priscilla K Brastianos
- Center for Cancer Research, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA.
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23
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Berger A, Mullen R, Bernstein K, Alzate JD, Silverman JS, Sulman EP, Donahue BR, Chachoua A, Shum E, Velcheti V, Sabari J, Golfinos JG, Kondziolka D. Extended Survival in Patients With Non-Small-Cell Lung Cancer-Associated Brain Metastases in the Modern Era. Neurosurgery 2023; 93:50-59. [PMID: 36722962 DOI: 10.1227/neu.0000000000002372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 11/17/2022] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Brain metastases (BM) have long been considered a terminal diagnosis with management mainly aimed at palliation and little hope for extended survival. Use of brain stereotactic radiosurgery (SRS) and/or resection, in addition to novel systemic therapies, has enabled improvements in overall and progression-free (PFS) survival. OBJECTIVE To explore the possibility of extended survival in patients with non-small-cell lung cancer (NSCLC) BM in the current era. METHODS During the years 2008 to 2020, 606 patients with NSCLC underwent their first Gamma Knife SRS for BM at our institution with point-of-care data collection. We reviewed clinical, molecular, imaging, and treatment parameters to explore the relationship of such factors with survival. RESULTS The median overall survival was 17 months (95% CI, 13-40). Predictors of increased survival in a multivariable analysis included age <65 years ( P < .001), KPS ≥80 ( P < .001), absence of extracranial metastases ( P < .001), fewer BM at first SRS (≤3, P = .003), and targeted therapy ( P = .005), whereas chemotherapy alone was associated with shorter survival ( P = .04). In a subgroup of patients managed before 2016 (n = 264), 38 (14%) were long-term survivors (≥5 years), of which 16% required no active cancer treatment (systemic or brain) for ≥3 years by the end of their follow-up. CONCLUSION Long-term survival in patients with brain metastases from NSCLC is feasible in the current era of SRS when combined with the use of effective targeted therapeutics. Of those living ≥5 years, the chance for living with stable disease without the need for active treatment for ≥3 years was 16%.
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Affiliation(s)
- Assaf Berger
- Department of Neurological Surgery, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Reed Mullen
- Department of Neurological Surgery, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Kenneth Bernstein
- Department of Radiation Oncology, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Juan Diego Alzate
- Department of Neurological Surgery, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Joshua S Silverman
- Department of Radiation Oncology, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Erik P Sulman
- Department of Radiation Oncology, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Bernadine R Donahue
- Department of Radiation Oncology, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Abraham Chachoua
- Medical Oncology, Perlmutter Cancer Center, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Elaine Shum
- Medical Oncology, Perlmutter Cancer Center, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Vamsidhar Velcheti
- Medical Oncology, Perlmutter Cancer Center, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Joshua Sabari
- Medical Oncology, Perlmutter Cancer Center, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - John G Golfinos
- Department of Neurological Surgery, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Douglas Kondziolka
- Department of Neurological Surgery, NYU Langone Health Medical Center, New York University, New York, New York, USA
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24
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Vaios EJ, Winter SF, Shih HA, Dietrich J, Peters KB, Floyd SR, Kirkpatrick JP, Reitman ZJ. Novel Mechanisms and Future Opportunities for the Management of Radiation Necrosis in Patients Treated for Brain Metastases in the Era of Immunotherapy. Cancers (Basel) 2023; 15:2432. [PMID: 37173897 PMCID: PMC10177360 DOI: 10.3390/cancers15092432] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 04/12/2023] [Accepted: 04/21/2023] [Indexed: 05/15/2023] Open
Abstract
Radiation necrosis, also known as treatment-induced necrosis, has emerged as an important adverse effect following stereotactic radiotherapy (SRS) for brain metastases. The improved survival of patients with brain metastases and increased use of combined systemic therapy and SRS have contributed to a growing incidence of necrosis. The cyclic GMP-AMP (cGAMP) synthase (cGAS) and stimulator of interferon genes (STING) pathway (cGAS-STING) represents a key biological mechanism linking radiation-induced DNA damage to pro-inflammatory effects and innate immunity. By recognizing cytosolic double-stranded DNA, cGAS induces a signaling cascade that results in the upregulation of type 1 interferons and dendritic cell activation. This pathway could play a key role in the pathogenesis of necrosis and provides attractive targets for therapeutic development. Immunotherapy and other novel systemic agents may potentiate activation of cGAS-STING signaling following radiotherapy and increase necrosis risk. Advancements in dosimetric strategies, novel imaging modalities, artificial intelligence, and circulating biomarkers could improve the management of necrosis. This review provides new insights into the pathophysiology of necrosis and synthesizes our current understanding regarding the diagnosis, risk factors, and management options of necrosis while highlighting novel avenues for discovery.
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Affiliation(s)
- Eugene J. Vaios
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC 27710, USA
| | - Sebastian F. Winter
- Division of Neuro-Oncology, Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Helen A. Shih
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Jorg Dietrich
- Division of Neuro-Oncology, Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Katherine B. Peters
- Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA
| | - Scott R. Floyd
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC 27710, USA
| | - John P. Kirkpatrick
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC 27710, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA
| | - Zachary J. Reitman
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC 27710, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA
- Department of Pathology, Duke University Medical Center, Durham, NC 27710, USA
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25
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Rahman R, Polley MYC, Alder L, Brastianos PK, Anders CK, Tawbi HA, Mehta M, Wen PY, Geyer S, de Groot J, Zadeh G, Piantadosi S, Galanis E, Khasraw M. Current drug development and trial designs in neuro-oncology: report from the first American Society of Clinical Oncology and Society for Neuro-Oncology Clinical Trials Conference. Lancet Oncol 2023; 24:e161-e171. [PMID: 36990614 PMCID: PMC10401610 DOI: 10.1016/s1470-2045(23)00005-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 12/11/2022] [Accepted: 01/05/2023] [Indexed: 03/29/2023]
Abstract
Successful drug development for people with cancers of the CNS has been challenging. There are multiple barriers to successful drug development including biological factors, rarity of the disease, and ineffective use of clinical trials. Based upon a series of presentations at the First Central Nervous System Clinical Trials Conference hosted by the American Society of Clinical Oncology and the Society for Neuro-Oncology, we provide an overview on drug development and novel trial designs in neuro-oncology. This Review discusses the challenges of therapeutic development in neuro-oncology and proposes strategies to improve the drug discovery process by enriching the pipeline of promising therapies, optimising trial design, incorporating biomarkers, using external data, and maximising efficacy and reproducibility of clinical trials.
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Affiliation(s)
- Rifaquat Rahman
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Mei-Yin C Polley
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Laura Alder
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
| | - Priscilla K Brastianos
- Massachusetts General Hospital, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Carey K Anders
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
| | | | - Minesh Mehta
- Miami Cancer Institute, Baptist Hospital, Miami, FL, USA
| | - Patrick Y Wen
- Centre for Neuro-Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Center for Neuro-Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Susan Geyer
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - John de Groot
- University of California San Francisco Brain Tumor Center, San Francisco, CA, USA
| | - Gelareh Zadeh
- Department of Neurological Surgery University of Toronto, Toronto, ON, Canada
| | - Steven Piantadosi
- Department of Surgery, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Evanthia Galanis
- Department of Oncology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
| | - Mustafa Khasraw
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
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26
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Yu S, Zhang S, Xu H, Yang G, Xu F, Yang L, Chen D, An G, Wang Y. Organ-specific immune checkpoint inhibitor treatment in lung cancer: a systematic review and meta-analysis. BMJ Open 2023; 13:e059457. [PMID: 36931679 PMCID: PMC10030562 DOI: 10.1136/bmjopen-2021-059457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/19/2023] Open
Abstract
OBJECTIVES Based on the acknowledged organ-specific immune microenvironment, little is known regarding the efficacy of immunotherapy in patients with lung cancer according to metastatic sites. This meta-analysis aimed to explore the efficacy of immune checkpoint inhibitors (ICIs) vs chemotherapy in patients with lung cancer with liver metastases (LM) or brain metastases (BM). DESIGN Meta-analysis and systematic review. DATA SOURCES We systematically searched in electronic databases (PubMed, EMBASE, Cochrane Library and Web of Science), up to 31 January 2022. We also reviewed the abstracts from major international conferences. Eligibility criteria were randomised controlled phase II or III trials reporting the overall survival (OS) or progression-free survival (PFS) of LM or BM subsets. DATA EXTRACTION AND SYNTHESIS Hazard ratios (HRs) with 95% CIs for OS and PFS were extracted and aggregated using a random-effects model. RESULTS Twenty-four randomised controlled trials with available outcomes for patients with BMs or LMs were identified. A total of 1124 patients with BM and 2077 patients with LM were included in the analysis. The pooled OS HR of patients with LMs was 0.83 (95% CI 0.72 to 0.95), and that of patients without LM 0.73 (95% CI 0.69 to 0.79). LM was associated with less benefits from ICIs. In patients with BM treated with ICIs, the pooled OS HR compared with the control arms was 0.71 (95% CI 0.53 to 0.94). Subgroup analyses by histology suggested that only patients with non-small cell lung cancer (NSCLC) with BM could gain benefit from ICIs (HR 0.53, 95% CI 0.41 to 0.68). BM negatively influenced efficacy of immunotherapy in patients with small cell lung cancer. CONCLUSIONS Our results showed immunotherapy demonstrated efficacy in patients with lung cancer with LM and BM, survival benefits dominantly favoured patients with NSCLC. Patients with lung cancer with LM obtained less benefits from ICIs than those without. Therefore, organ-specific immunotherapeutic approaches should be considered. PROSPERO REGISTRATION NUMBER CRD42020212797.
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Affiliation(s)
- Shufei Yu
- Department of Radiation Oncology, Beijing Chao-Yang Hospital Capital Medical University, Beijing, China
| | - Shuyang Zhang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Haiyan Xu
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Guangjian Yang
- Department of Respiratory Medicine, Shandong Cancer Hospital and institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Shandong, China
| | - Fei Xu
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Liang Yang
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Duo Chen
- Department of Respiratory and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Guangyu An
- Department of Oncology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Yan Wang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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27
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Du P, Liu X, Shen L, Wu X, Chen J, Chen L, Cao A, Geng D. Prediction of treatment response in patients with brain metastasis receiving stereotactic radiosurgery based on pre-treatment multimodal MRI radiomics and clinical risk factors: A machine learning model. Front Oncol 2023; 13:1114194. [PMID: 36994193 PMCID: PMC10040663 DOI: 10.3389/fonc.2023.1114194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 02/27/2023] [Indexed: 03/18/2023] Open
Abstract
ObjectivesStereotactic radiosurgery (SRS), a therapy that uses radiation to treat brain tumors, has become a significant treatment procedure for patients with brain metastasis (BM). However, a proportion of patients have been found to be at risk of local failure (LF) after treatment. Hence, accurately identifying patients with LF risk after SRS treatment is critical to the development of successful treatment plans and the prognoses of patients. To accurately predict BM patients with the occurrence of LF after SRS therapy, we develop and validate a machine learning (ML) model based on pre-treatment multimodal magnetic resonance imaging (MRI) radiomics and clinical risk factors.Patients and methodsIn this study, 337 BM patients were included (247, 60, and 30 in the training set, internal validation set, and external validation set, respectively). Four clinical features and 223 radiomics features were selected using least absolute shrinkage and selection operator (LASSO) and Max-Relevance and Min-Redundancy (mRMR) filters. We establish the ML model using the selected features and the support vector machine (SVM) classifier to predict the treatment response of BM patients to SRS therapy.ResultsIn the training set, the SVM classifier that uses a combination of clinical and radiomics features demonstrates outstanding discriminative performance (AUC=0.95, 95% CI: 0.93-0.97). Moreover, this model also achieves satisfactory results in the validation sets (AUC=0.95 in the internal validation set and AUC=0.93 in the external validation set), demonstrating excellent generalizability.ConclusionsThis ML model enables a non-invasive prediction of the treatment response of BM patients receiving SRS therapy, which can in turn assist neurologist and radiation oncologists in the development of more precise and individualized treatment plans for BM patients.
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Affiliation(s)
- Peng Du
- The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
- Huashan Hospital, Fudan University, Shanghai, China
| | - Xiao Liu
- School of Computer and Information Technology, Beijing, China
| | - Li Shen
- Department of Radiology, Jiahui International Hospital, Shanghai, China
| | - Xuefan Wu
- Department of Radiology, Shanghai Gamma Hospital, Shanghai, China
| | - Jiawei Chen
- Huashan Hospital, Fudan University, Shanghai, China
| | - Lang Chen
- The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Aihong Cao
- The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
- *Correspondence: Aihong Cao, ; Daoying Geng,
| | - Daoying Geng
- Huashan Hospital, Fudan University, Shanghai, China
- *Correspondence: Aihong Cao, ; Daoying Geng,
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Berger A, Lee MD, Lotan E, Block KT, Fatterpekar G, Kondziolka D. Distinguishing Brain Metastasis Progression From Radiation Effects After Stereotactic Radiosurgery Using Longitudinal GRASP Dynamic Contrast-Enhanced MRI. Neurosurgery 2023; 92:497-506. [PMID: 36700674 DOI: 10.1227/neu.0000000000002228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 09/12/2022] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Differentiating brain metastasis progression from radiation effects or radiation necrosis (RN) remains challenging. Golden-angle radial sparse parallel (GRASP) dynamic contrast-enhanced MRI provides high spatial and temporal resolution to analyze tissue enhancement, which may differ between tumor progression (TP) and RN. OBJECTIVE To investigate the utility of longitudinal GRASP MRI in distinguishing TP from RN after gamma knife stereotactic radiosurgery (SRS). METHODS We retrospectively evaluated 48 patients with brain metastasis managed with SRS at our institution from 2013 to 2020 who had GRASP MRI before and at least once after SRS. TP (n = 16) was pathologically confirmed. RN (n = 16) was diagnosed on either resected tissue without evidence of tumor or on lesion resolution on follow-up. As a reference, we included a separate group of patients with non-small-cell lung cancer that showed favorable response with tumor control and without RN on subsequent imaging (n = 16). Mean contrast washin and washout slopes normalized to the superior sagittal sinus were compared between groups. Receiver operating characteristic analysis was performed to determine diagnostic performance. RESULTS After SRS, progression showed a significantly steeper washin slope than RN on all 3 follow-up scans (scan 1: 0.29 ± 0.16 vs 0.18 ± 0.08, P = .021; scan 2: 0.35 ± 0.19 vs 0.18 ± 0.09, P = .004; scan 3: 0.32 ± 0.12 vs 0.17 ± 0.07, P = .002). No significant differences were found in the post-SRS washout slope. Post-SRS washin slope differentiated progression and RN with an area under the curve (AUC) of 0.74, a sensitivity of 75%, and a specificity of 69% on scan 1; an AUC of 0.85, a sensitivity of 92%, and a specificity of 69% on scan 2; and an AUC of 0.87, a sensitivity of 63%, and a specificity of 100% on scan 3. CONCLUSION Longitudinal GRASP MRI may help to differentiate metastasis progression from RN.
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Affiliation(s)
- Assaf Berger
- Department of Neurological Surgery, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Matthew D Lee
- Department of Radiology, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Eyal Lotan
- Department of Radiology, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Kai Tobias Block
- Department of Radiology, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Girish Fatterpekar
- Department of Radiology, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Douglas Kondziolka
- Department of Neurological Surgery, NYU Langone Health Medical Center, New York University, New York, New York, USA
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Cheng X, Chen J, Tang R, Ruan J, Mao D, Yang H. Sodium Fluorescein-Guided Surgery for Resection of Brain Metastases from Lung Cancer: A Consecutive Case Series Study and Literature Review. Cancers (Basel) 2023; 15:cancers15030882. [PMID: 36765841 PMCID: PMC9913632 DOI: 10.3390/cancers15030882] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 01/21/2023] [Accepted: 01/29/2023] [Indexed: 02/04/2023] Open
Abstract
(1) Introduction and objective: Surgical resection plays an important role in the multidisciplinary treatment of lung cancer patients with brain metastases (BMs). Precisely distinguishing the tumor border intraoperatively to improve and maximize the extent of resection (EOR) without causing permanent neurological defects is crucial but still challenging. Therefore, we introduced our experience of utilizing sodium fluorescein (SF) in microneurosurgery of BMs from lung cancer. This study aims to evaluate whether the use of SF-guided surgery has a positive impact on postoperative outcomes. (2) Materials and methods: A retrospective study was performed to collect data on a consecutive case series of patients with BMs from lung cancer who underwent surgical resection from January 2020 to December 2021 at the Department of Neuro-Oncology, Chongqing University Cancer Hospital. A total of 52 patients were enrolled, of which 23 received SF-guided surgery and 29 did not. EOR was assessed pre- and postoperatively on T1 contrast-enhanced MRI. Clinical and epidemiological data as well as follow-up were gathered and analyzed. (3) Results: Compared with the non-SF-guided group, the SF-guided group revealed a significantly better EOR (87.0% vs. 62.1%) and a lower incidence of local recurrence (8.7% vs. 34.5%). Survival benefits were seen in patients with NSCLC, patients who were undergoing SF-guided surgery, and patients receiving postoperative systemic therapy. (4) Conclusions: SF-guiding under the YELLOW 560 nm filter is a safe and feasible tool for improving the EOR in patients with BMs from lung cancer, leading to better local recurrence control and prolonged survival.
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Mirmoeeni S, Azari Jafari A, Shah M, Salemi F, Hashemi SZ, Seifi A. The Clinical, Diagnostic, Therapeutic, and Prognostic Characteristics of Brain Metastases in Prostate Cancer: A Systematic Review. Prostate Cancer 2022; 2022:5324600. [PMID: 36474619 PMCID: PMC9719815 DOI: 10.1155/2022/5324600] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 11/11/2022] [Accepted: 11/15/2022] [Indexed: 08/19/2023] Open
Abstract
AIM Prostate cancer (PCa) is the second most common nonskin malignancy and the second most common cause of cancer-related deaths in men. The most common site of metastasis in PCa is the axial skeleton which may lead to back pain or pathological fractures. Hematogenous spread to the brain and involvement of the central nervous system (CNS) are a rare occurrence. However, failed androgen deprivation therapy (ADT) may facilitate such a spread resulting in an advanced metastatic stage of PCa, which carries a poor prognosis. METHODS In this systematic review, we searched the PubMed, Scopus, and Web of Science online databases based on the PRISMA guideline and used all the medical subject headings (MeSH) in terms of the following search line: ("Brain Neoplasms" OR "Central Nervous System Neoplasms") and ("Prostatic Neoplasms" OR "Prostate"). Related studies were identified and reviewed. RESULTS A total of 59 eligible studies (902 patients) were included in this systematic review. In order to gain a deeper understanding, we extracted and presented the data from included articles based on clinical manifestations, diagnostic methods, therapeutic approaches, and prognostic status of PCa patients having BMs. CONCLUSION We have demonstrated the current knowledge regarding the mechanism, clinical manifestations, diagnostic methods, therapeutic approaches, and prognosis of BMs in PCa. These data shed more light on the way to help clinicians and physicians to understand, diagnose, and manage BMs in PCa patients better.
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Affiliation(s)
| | | | - Muffaqam Shah
- Deccan College of Medical Sciences, P.O. Kanchanbagh, DMRL ‘X' Road, Santhosh Nagar, Hyderabad 500058, Telangana, India
| | - Fateme Salemi
- School of Medicine, Islamic Azad University of Medical Sciences, Yazd, Iran
| | - Seyedeh Zohreh Hashemi
- Researcher at the Research Center of Tehran University of Medical Sciences, Pharmacology Department, Tehran, Iran
| | - Ali Seifi
- Department of Neurosurgery, Division of Neuro Critical Care, University of Texas Health Science Center at San Antonio School of Medicine, San Antonio, TX, USA
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Quantitative Relaxometry Metrics for Brain Metastases Compared to Normal Tissues: A Pilot MR Fingerprinting Study. Cancers (Basel) 2022; 14:cancers14225606. [PMID: 36428699 PMCID: PMC9688653 DOI: 10.3390/cancers14225606] [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: 09/14/2022] [Revised: 11/03/2022] [Accepted: 11/09/2022] [Indexed: 11/17/2022] Open
Abstract
The purpose of the present pilot study was to estimate T1 and T2 metric values derived simultaneously from a new, rapid Magnetic Resonance Fingerprinting (MRF) technique, as well as to assess their ability to characterize-brain metastases (BM) and normal-appearing brain tissues. Fourteen patients with BM underwent MRI, including prototype MRF, on a 3T scanner. In total, 108 measurements were analyzed: 42 from solid parts of BM's (21 each on T1 and T2 maps) and 66 from normal-appearing brain tissue (11 ROIs each on T1 and T2 maps for gray matter [GM], white matter [WM], and cerebrospinal fluid [CSF]). The BM's mean T1 and T2 values differed significantly from normal-appearing WM (p < 0.05). The mean T1 values from normal-appearing GM, WM, and CSF regions were 1205 ms, 840 ms, and 4233 ms, respectively. The mean T2 values were 108 ms, 78 ms, and 442 ms, respectively. The mean T1 and T2 values for untreated BM (n = 4) were 2035 ms and 168 ms, respectively. For treated BM (n = 17) the T1 and T2 values were 2163 ms and 141 ms, respectively. MRF technique appears to be a promising and rapid quantitative method for the characterization of free water content and tumor morphology in BMs.
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Wu A, Zhang F, Yang X, Liu Y, Tan M, Lai Y, Yang Z. A network meta-analysis of curative effect of different treatment methods on patients with brain metastasis of breast cancer. Medicine (Baltimore) 2022; 101:e30392. [PMID: 36107560 PMCID: PMC9439797 DOI: 10.1097/md.0000000000030392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Breast cancer (BC) is a malignant tumor with the highest incidence rate worldwide, and its incidence of breast cancer brain metastases is increased in recent years. Although significant progress has been made in the systematic treatment of BC that of breast cancer brain metastases is still very difficult. Organically integrating local and systemic therapies remains an urgent problem to be solved. In this study, a network meta-analysis was performed to collect the treatment effects of different treatment measures on patients with BC brain metastasis in recent years, evaluate and screen the current best clinical treatment scheme, and assist doctors in formulating clinical treatment schemes. METHODS Keywords were used to search databases, such as the Chinese Journal Full-text Database, VIP Chinese Science and Technology Journal Full-text Database (VP-CSJFD), Wanfang Data Journal Paper Resources (Wangfang), PubMed, the Cochrane Library, and EMBASE. The retrieval period was from the establishment of each database to February 2022. Qualified randomized controlled studies were screened according to the inclusion and exclusion criteria, and Stata 16 software was adopted for mesh meta-analysis of binary variable data. Using R4 0.2 software, and calling GeMTC and JAGS packages in R software, the Bayesian network model analysis of survival data was completed. CONCLUSION Combined with overall response rate, disease control rate, and overall survival, whole-brain radiation therapy + 3-dimensional conformal radiation therapy + Che may be the intervention measure with the highest objective remission rate for patients with brain metastasis of BC, besides, it may also be the intervention measure of the highest disease control rate in patients after treatment. In contrast, WBRT + Che may be the intervention with the lowest overall survival risk ratio after treatment.
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Affiliation(s)
- Anhao Wu
- Department of Mammary Surgery I, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital, Yunnan Cancer Center), Kunming, China
| | - Fang Zhang
- Department of Tumor 2 Families, Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, China
| | - Xin Yang
- Department of Blood Transfusion, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Yang Liu
- Department of Mammary Surgery I, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital, Yunnan Cancer Center), Kunming, China
| | - Mingjian Tan
- Department of Mammary Surgery I, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital, Yunnan Cancer Center), Kunming, China
| | - Yafang Lai
- Kunming women and Child Health Service Center/Kunming women and Child Health Care Hospital, Kunming, China
- * Correspondence: Zhuangqing Yang, MD, Department of Mammary Surgery I, the Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital, Yunnan Cancer Center), No. 519, Kunzhou Road, Kunming 650118, China. (e-mail: ); Yafang Lai, MD, Kunming Women and Child Health Service Center/Kunming Women and Child Health Care Hospital, No. 187, Haigeng Road, Kunming 650034, China. (e-mail:)
| | - Zhuangqing Yang
- Department of Mammary Surgery I, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital, Yunnan Cancer Center), Kunming, China
- * Correspondence: Zhuangqing Yang, MD, Department of Mammary Surgery I, the Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital, Yunnan Cancer Center), No. 519, Kunzhou Road, Kunming 650118, China. (e-mail: ); Yafang Lai, MD, Kunming Women and Child Health Service Center/Kunming Women and Child Health Care Hospital, No. 187, Haigeng Road, Kunming 650034, China. (e-mail:)
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Analysis of Key Clinical Variables and Radiological Manifestations Associated with the Treatment Response of Patients with Brain Metastases to Stereotactic Radiosurgery. J Clin Med 2022; 11:jcm11154529. [PMID: 35956144 PMCID: PMC9369562 DOI: 10.3390/jcm11154529] [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: 06/22/2022] [Revised: 07/25/2022] [Accepted: 08/01/2022] [Indexed: 01/27/2023] Open
Abstract
Background: Stereotactic radiosurgery (SRS) is considered a promising treatment for brain metastases (BM) with better healing efficacy, relatively faster treatment time, and lower neurotoxicity, which can achieve local control rates above 70%. Although SRS improves the local control of BM, this may not translate into improvements in survival time. Thus, screening out the key factors influencing the treatment response to SRS, instead of the survival time following SRS, might be of more significance. This may assist doctors when making adjustments to treatment strategies for patients with BM. Methods: This is a retrospective review of 696 patients with BM who were treated with SRS at Huashan Hospital, Fudan University between June 2015 and February 2020. According to the patients’ treatment response to SRS, the patients were divided into an improved group (IG) and a progressive group (PG). The clinical data and magnetic resonance imaging (MRI) performed pre- and post-treatment were collected for the two groups. Five clinical variables (gender, age, Karnofsky performance status (KPS), primary tumor type, and extracranial lesion control) and seven radiological manifestations (location, number, volume, maximum diameter, edema index (EI), diffusion weighted imaging (DWI) sequence signal, and enhanced pattern) were selected and compared. A stepwise regression analysis was performed in order to obtain the best prediction effect of a group of variables and their regression coefficients, and finally to build an SRS treatment response scoring model based on the coefficients. The performance of the model was evaluated by calculating the AUC and performing the Hosmer–Lemeshow test. Results: A total of 323 patients were enrolled in the study based on the inclusion and exclusion criteria, including 209 patients in the IG and 114 patients in the PG. In the Chi-square test and t-test analysis, the significant p values of KPS, extracranial lesion control, volume, and EI were less than 0.05. Moreover, the cut-off values for volume and EI were 1801.145 mm3 and 3.835, respectively. The scoring model that was based on multivariate logistic regression coefficients performed better, achieving AUCs of 0.755 ± 0.062 and 0.780 ± 0.061 for the internal validation and validation cohorts, with p values of 0.168 and 0.073 for the Hosmer–Lemeshow test. Conclusions: KPS, extracranial lesion control, tumor volume, and EI had a certain correlation with the treatment response to SRS. Scoring models that are based on these variables can accurately predict the treatment response of patients with BM to SRS, thereby assisting doctors to make an appropriate first treatment strategy for patients with BM to a certain degree.
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Tsai C, Nguyen B, Luthra A, Chou JF, Feder L, Tang LH, Strong VE, Molena D, Jones DR, Coit DG, Ilson DH, Ku GY, Cowzer D, Cadley J, Capanu M, Schultz N, Beal K, Moss NS, Janjigian YY, Maron SB. Outcomes and Molecular Features of Brain Metastasis in Gastroesophageal Adenocarcinoma. JAMA Netw Open 2022; 5:e2228083. [PMID: 36001319 PMCID: PMC9403772 DOI: 10.1001/jamanetworkopen.2022.28083] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Brain metastasis (BrM) in gastroesophageal adenocarcinoma (GEA) is a rare and poorly understood phenomenon associated with poor prognosis. OBJECTIVES To examine the clinical and genomic features of patients with BrM from GEA and evaluate factors associated with survival. DESIGN, SETTING, AND PARTICIPANTS In this single-institution retrospective cohort study, 68 patients with BrM from GEA diagnosed between January 1, 2008, and December 31, 2020, were identified via review of billing codes and imaging reports from the electronic medical record with follow-up through November 3, 2021. Genomic data were derived from the Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets clinical sequencing platform. EXPOSURES Treatment with BrM resection and/or radiotherapy. MAIN OUTCOMES AND MEASURES Overall survival after BrM diagnosis. RESULTS Sixty-eight patients (median age at diagnosis, 57.4 years [IQR, 49.8-66.4 years]; 59 [86.8%] male; 55 [85.9%] White) participated in the study. A total of 57 (83.8%) had primary tumors in the distal esophagus or gastroesophageal junction. Median time from initial diagnosis to BrM diagnosis was 16.9 months (IQR, 8.5-27.7 months). Median survival from BrM diagnosis was 8.7 months (95% CI, 5.5-11.5 months). Overall survival was 35% (95% CI, 25%-48%) at 1 year and 24% (95% CI, 16%-37%) at 2 years. In a multivariable analysis, an Eastern Cooperative Oncology Group performance status of 2 or greater (hazard ratio [HR], 4.66; 95% CI, 1.47-14.70; P = .009) and lack of surgical or radiotherapeutic intervention (HR, 7.71; 95% CI, 2.01-29.60; P = .003) were associated with increased risk of all-cause mortality, whereas 3 or more extracranial sites of disease (HR, 1.85; 95% CI, 0.64-5.29; P = .25) and 4 or more BrMs (HR, 2.15; 95% CI, 0.93-4.98; P = .07) were not statistically significant. A total of 31 patients (45.6%) had ERBB2 (formerly HER2 or HER2/neu)-positive tumors, and alterations in ERBB2 were enriched in BrM relative to primary tumors (8 [47.1%] vs 7 [20.6%], P = .05), as were alterations in PTPRT (7 [41.2%] vs 4 [11.8%], P = .03). CONCLUSIONS AND RELEVANCE This study suggests that that a notable proportion of patients with BrM from GEA achieve survival exceeding 1 and 2 years from BrM diagnosis, a more favorable prognosis than previously reported. Good performance status and treatment with combination surgery and radiotherapy were associated with the best outcomes. ERBB2 positivity and amplification as well as PTPRT alterations were enriched in BrM tissue compared with primary tumors; therefore, further study should be pursued to identify whether these variables represent genomic risk factors for BrM development.
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Affiliation(s)
- Charlton Tsai
- Department of Medicine, New York Presbyterian/Weill Cornell Medicine, New York, New York
| | - Bastien Nguyen
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Anisha Luthra
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Joanne F. Chou
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Lara Feder
- Division of Solid Tumor Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Laura H. Tang
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Vivian E. Strong
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Daniela Molena
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - David R. Jones
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Daniel G. Coit
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - David H. Ilson
- Division of Solid Tumor Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Geoffrey Y. Ku
- Division of Solid Tumor Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Darren Cowzer
- Division of Solid Tumor Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - John Cadley
- Department of Digital Informatics and Technology Solutions, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Marinela Capanu
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Nikolaus Schultz
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Kathryn Beal
- Department of Radiation Oncology and Brain Metastasis Center, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Nelson S. Moss
- Department of Neurosurgery and Brain Metastasis Center, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Yelena Y. Janjigian
- Division of Solid Tumor Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Steven B. Maron
- Division of Solid Tumor Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
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Lactate dehydrogenase as promising marker for prognosis of brain metastasis. J Neurooncol 2022; 159:359-368. [PMID: 35794505 DOI: 10.1007/s11060-022-04070-z] [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: 05/05/2022] [Accepted: 06/15/2022] [Indexed: 02/05/2023]
Abstract
BACKGROUND Lactate dehydrogenase (LDH) is a biomarker for cancer. However, the relationship between serum LDH levels and the survival of patients with brain metastasis has been fully revealed. We aimed to evaluate the serum LDH levels and assess its prognostic value in patients with BM. METHODS The serum LDH levels were collected from 2507 patients with BM. Patients were categorized into four groups according to the quartile of serum LDH levels. The association between serum LDH levels and overall survival (OS) was evaluated using Cox regression models and Kaplan-Meier curves. Three predictive models were used to evaluate patients. RESULTS The Kaplan-Meier curve for survival by the serum LDH group demonstrates clear separation between four groups (P < 0.001). The participants in the lower group had longer OS than those in the higher group. After adjusting in multivariate Cox regression models remained significant for patients in the Q4 compared with patients in the Q1 (Q4:Q1 OR 1.58, 95% CI 1.38-1.80). Furthermore, the GPA-LDH model generates a pooled area under the curve of 0.630 (95% CI 0.600, 0.660). CONCLUSIONS Serum LDH levels and OS in patients with brain metastasis is an inverse association. Moreover, Serum LDH levels can improve the prognosis of the GPA model.
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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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Significant survival improvements for patients with melanoma brain metastases: can we reach cure in the current era? J Neurooncol 2022; 158:471-480. [PMID: 35665462 DOI: 10.1007/s11060-022-04036-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 05/12/2022] [Indexed: 10/18/2022]
Abstract
PURPOSE New therapies for melanoma have been associated with increasing survival expectations, as opposed to the dismal outcomes of only a decade ago. Using a prospective registry, we aimed to define current survival goals for melanoma patients with brain metastases (BM), based on state-of-the-art multimodality care. METHODS We reviewed 171 melanoma patients with BM receiving stereotactic radiosurgery (SRS) who were followed with point-of-care data collection between 2012 and 2020. Clinical, molecular and imaging data were collected, including systemic treatment and radiosurgical parameters. RESULTS Mean age was 63 ± 15 years, 39% were female and 29% had BRAF-mutated tumors. Median overall survival after radiosurgery was 15.7 months (95% Confidence Interval 11.4-27.7) and 25 months in patients managed since 2015. Thirty-two patients survived [Formula: see text] 5 years from their initial SRS. BRAF mutation-targeted therapies showed a survival advantage in comparison to chemotherapy (p = 0.009), but not to immunotherapy (p = 0.09). In a multivariable analysis, both immunotherapy and the number of metastases at 1st SRS were predictors of long-term survival ([Formula: see text] 5 years) from initial SRS (p = 0.023 and p = 0.018, respectively). Five patients (16%) of the long-term survivors required no active treatment for [Formula: see text] 5 years. CONCLUSION Long-term survival in patients with melanoma BM is achievable in the current era of SRS combined with immunotherapies. For those alive [Formula: see text] 5 years after first SRS, 16% had been also off systemic or local brain therapy for over 5 years. Given late recurrences of melanoma, caution is warranted, however prolonged survival off active treatment in a subset of our patients raises the potential for cure.
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Grabowski MM, Srinivasan ES, Vaios EJ, Sankey EW, Otvos B, Krivosheya D, Scott A, Olufawo M, Ma J, Fomchenko EI, Herndon JE, Kim AH, Chiang VL, Chen CC, Leuthardt EC, Barnett GH, Kirkpatrick JP, Mohammadi AM, Fecci PE. Combination Laser Interstitial Thermal Therapy Plus Stereotactic Radiotherapy (SRT) Increases Time to Progression for Biopsy-Proven Recurrent Brain Metastases. Neurooncol Adv 2022; 4:vdac086. [PMID: 35795470 PMCID: PMC9248774 DOI: 10.1093/noajnl/vdac086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Background Improved survival for patients with brain metastases has been accompanied by a rise in tumor recurrence after stereotactic radiotherapy (SRT). Laser interstitial thermal therapy (LITT) has emerged as an effective treatment for SRT failures as an alternative to open resection or repeat SRT. We aimed to evaluate the efficacy of LITT followed by SRT (LITT+SRT) in recurrent brain metastases. Methods A multicenter, retrospective study was performed of patients who underwent treatment for biopsy-proven brain metastasis recurrence after SRT at an academic medical center. Patients were stratified by “planned LITT+SRT” versus “LITT alone” versus “repeat SRT alone.” Index lesion progression was determined by modified Response Assessment in Neuro-Oncology Brain Metastases (RANO-BM) criteria. Results Fifty-five patients met inclusion criteria, with a median follow-up of 7.3 months (range: 1.0–30.5), age of 60 years (range: 37–86), Karnofsky Performance Status (KPS) of 80 (range: 60–100), and pre-LITT/biopsy contrast-enhancing volume of 5.7 cc (range: 0.7–19.4). Thirty-eight percent of patients underwent LITT+SRT, 45% LITT alone, and 16% SRT alone. Median time to index lesion progression (29.8, 7.5, and 3.7 months [P = .022]) was significantly improved with LITT+SRT. When controlling for age in a multivariate analysis, patients treated with LITT+SRT remained significantly less likely to have index lesion progression (P = .004). Conclusions These data suggest that LITT+SRT is superior to LITT or repeat SRT alone for treatment of biopsy-proven brain metastasis recurrence after SRT failure. Prospective trials are warranted to validate the efficacy of using combination LITT+SRT for treatment of recurrent brain metastases.
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Affiliation(s)
- Matthew M Grabowski
- Corresponding Author: Matthew M. Grabowski, MD, Cleveland Clinic, 9500 Euclid Ave. S4, Cleveland, OH 44195, USA ()
| | - Ethan S Srinivasan
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina, USA
| | - Eugene J Vaios
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina, USA
| | - Eric W Sankey
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina, USA
| | - Balint Otvos
- Department of Neurosurgery, Rose Ella Burkhardt Brain Tumor & Neuro-Oncology Center, Cleveland Clinic & Case Comprehensive Cancer Center, Cleveland, Ohio, USA
| | - Daria Krivosheya
- Department of Neurosurgery, Rose Ella Burkhardt Brain Tumor & Neuro-Oncology Center, Cleveland Clinic & Case Comprehensive Cancer Center, Cleveland, Ohio, USA
| | - Alex Scott
- Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Michael Olufawo
- Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Jun Ma
- Department of Neurosurgery, University of Minnesota, Minneapolis, Minnesota, USA
| | - Elena I Fomchenko
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - James E Herndon
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA
| | - Albert H Kim
- Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Veronica L Chiang
- Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Clark C Chen
- Department of Neurosurgery, University of Minnesota, Minneapolis, Minnesota, USA
| | - Eric C Leuthardt
- Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Gene H Barnett
- Department of Neurosurgery, Rose Ella Burkhardt Brain Tumor & Neuro-Oncology Center, Cleveland Clinic & Case Comprehensive Cancer Center, Cleveland, Ohio, USA
- Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio, USA
| | - John P Kirkpatrick
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina, USA
- Duke Center for Brain and Spine Metastasis, Durham, North Carolina, USA
| | - Alireza M Mohammadi
- Department of Neurosurgery, Rose Ella Burkhardt Brain Tumor & Neuro-Oncology Center, Cleveland Clinic & Case Comprehensive Cancer Center, Cleveland, Ohio, USA
- Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio, USA
| | - Peter E Fecci
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina, USA
- Duke Center for Brain and Spine Metastasis, Durham, North Carolina, USA
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Petermann AB, Reyna-Jeldes M, Ortega L, Coddou C, Yévenes GE. Roles of the Unsaturated Fatty Acid Docosahexaenoic Acid in the Central Nervous System: Molecular and Cellular Insights. Int J Mol Sci 2022; 23:5390. [PMID: 35628201 PMCID: PMC9141004 DOI: 10.3390/ijms23105390] [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: 03/07/2022] [Revised: 05/01/2022] [Accepted: 05/04/2022] [Indexed: 11/16/2022] Open
Abstract
Fatty acids (FAs) are essential components of the central nervous system (CNS), where they exert multiple roles in health and disease. Among the FAs, docosahexaenoic acid (DHA) has been widely recognized as a key molecule for neuronal function and cell signaling. Despite its relevance, the molecular pathways underlying the beneficial effects of DHA on the cells of the CNS are still unclear. Here, we summarize and discuss the molecular mechanisms underlying the actions of DHA in neural cells with a special focus on processes of survival, morphological development, and synaptic maturation. In addition, we examine the evidence supporting a potential therapeutic role of DHA against CNS tumor diseases and tumorigenesis. The current results suggest that DHA exerts its actions on neural cells mainly through the modulation of signaling cascades involving the activation of diverse types of receptors. In addition, we found evidence connecting brain DHA and ω-3 PUFA levels with CNS diseases, such as depression, autism spectrum disorders, obesity, and neurodegenerative diseases. In the context of cancer, the existing data have shown that DHA exerts positive actions as a coadjuvant in antitumoral therapy. Although many questions in the field remain only partially resolved, we hope that future research may soon define specific pathways and receptor systems involved in the beneficial effects of DHA in cells of the CNS, opening new avenues for innovative therapeutic strategies for CNS diseases.
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Affiliation(s)
- Ana B. Petermann
- Departamento de Fisiología, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción 4070386, Chile;
- Millennium Nucleus for the Study of Pain (MiNuSPain), Santiago 8330025, Chile; (M.R.-J.); (L.O.)
| | - Mauricio Reyna-Jeldes
- Millennium Nucleus for the Study of Pain (MiNuSPain), Santiago 8330025, Chile; (M.R.-J.); (L.O.)
- Departamento de Ciencias Biomédicas, Facultad de Medicina, Universidad Católica Del Norte, Coquimbo 1781421, Chile
- Núcleo para el Estudio del Cáncer a Nivel Básico, Aplicado y Clínico, Universidad Católica del Norte, Antofagasta 1270709, Chile
| | - Lorena Ortega
- Millennium Nucleus for the Study of Pain (MiNuSPain), Santiago 8330025, Chile; (M.R.-J.); (L.O.)
- Departamento de Ciencias Biomédicas, Facultad de Medicina, Universidad Católica Del Norte, Coquimbo 1781421, Chile
- Núcleo para el Estudio del Cáncer a Nivel Básico, Aplicado y Clínico, Universidad Católica del Norte, Antofagasta 1270709, Chile
| | - Claudio Coddou
- Millennium Nucleus for the Study of Pain (MiNuSPain), Santiago 8330025, Chile; (M.R.-J.); (L.O.)
- Departamento de Ciencias Biomédicas, Facultad de Medicina, Universidad Católica Del Norte, Coquimbo 1781421, Chile
- Núcleo para el Estudio del Cáncer a Nivel Básico, Aplicado y Clínico, Universidad Católica del Norte, Antofagasta 1270709, Chile
| | - Gonzalo E. Yévenes
- Departamento de Fisiología, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción 4070386, Chile;
- Millennium Nucleus for the Study of Pain (MiNuSPain), Santiago 8330025, Chile; (M.R.-J.); (L.O.)
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40
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The growing importance of neuro-oncology for neurologists. Neurol Sci 2022; 43:2919-2921. [DOI: 10.1007/s10072-022-06002-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 03/07/2022] [Indexed: 10/18/2022]
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41
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Serratrice N, Faddoul J, Tarabay B, Attieh C, Chalah MA, Ayache SS, Abi Lahoud GN. Ten Years After SINS: Role of Surgery and Radiotherapy in the Management of Patients With Vertebral Metastases. Front Oncol 2022; 12:802595. [PMID: 35155240 PMCID: PMC8829066 DOI: 10.3389/fonc.2022.802595] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 01/05/2022] [Indexed: 12/02/2022] Open
Abstract
The objective of the different types of treatments for a spinal metastasis is to provide the best oncological and functional result with the least aggressive side effects. Initially created in 2010 to help clinicians in the management of vertebral metastases, the Spine Instability Neoplastic Score (SINS) has quickly found its place in the decision making and the treatment of patients with metastatic spinal disease. Here we conduct a review of the literature describing the different changes that occurred with the SINS score in the last ten years. After a brief presentation of the spinal metastases’ distribution, with or without spinal cord compression, we present the utility of SINS in the radiological diagnosis and extension of the disease, in addition to its limits, especially for scores ranging between 7 and 12. We take this opportunity to expose the latest advances in surgery and radiotherapy concerning spinal metastases, as well as in palliative care and pain control. We also discuss the reliability of SINS amongst radiologists, radiation oncologists, spine surgeons and spine surgery trainees. Finally, we will present the new SINS-derived predictive scores, biomarkers and artificial intelligence algorithms that allow a multidisciplinary approach for the management of spinal metastases.
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Affiliation(s)
- Nicolas Serratrice
- Institut de la Colonne Vertébrale et des NeuroSciences (ICVNS) - CMC Bizet, Paris, France
| | - Joe Faddoul
- Institut de la Colonne Vertébrale et des NeuroSciences (ICVNS) - CMC Bizet, Paris, France.,Department of Neurosurgery, Centre Hospitalier de la Côte Basque, Bayonne, France
| | - Bilal Tarabay
- Institut de la Colonne Vertébrale et des NeuroSciences (ICVNS) - CMC Bizet, Paris, France
| | - Christian Attieh
- Institut de la Colonne Vertébrale et des NeuroSciences (ICVNS) - CMC Bizet, Paris, France
| | - Moussa A Chalah
- Institut de la Colonne Vertébrale et des NeuroSciences (ICVNS) - CMC Bizet, Paris, France.,Univ Paris Est Créteil, Excitabilité Nerveuse et Thérapeutique (ENT), EA 4391, Créteil, France
| | - Samar S Ayache
- Institut de la Colonne Vertébrale et des NeuroSciences (ICVNS) - CMC Bizet, Paris, France.,Univ Paris Est Créteil, Excitabilité Nerveuse et Thérapeutique (ENT), EA 4391, Créteil, France.,Assistance Publique - Hôpitaux de Paris (AP-HP), Henri Mondor University Hospital, Department of Clinical Neurophysiology, DMU FIxIT, Créteil, France
| | - Georges N Abi Lahoud
- Institut de la Colonne Vertébrale et des NeuroSciences (ICVNS) - CMC Bizet, Paris, France
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Rodrigues A, Li G, Bhambhvani H, Hayden-Gephart M. Socioeconomic Disparities in Brain Metastasis Survival and Treatment: A Population-Based Study. World Neurosurg 2022; 158:e636-e644. [PMID: 34785360 PMCID: PMC9363111 DOI: 10.1016/j.wneu.2021.11.036] [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: 09/11/2021] [Revised: 11/06/2021] [Accepted: 11/08/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE In the present study, we used a validated socioeconomic status (SES) index and population-based registry to identify and quantify the impact of SES on access to treatment and overall survival for patients diagnosed with synchronous brain metastases. METHODS The Surveillance, Epidemiology, and End Results database was used to extract all patients between 2010 and 2016 with brain metastases at initial presentation. SES was stratified into tertiles and quintiles using the validated Yost index. Multivariable logistic regressions were used to evaluate the impact of demographic, tumor, and socioeconomic covariates on receipt of radiotherapy and chemotherapy. Kaplan-Meier curves were used to estimate survival. RESULTS Between 2010 and 2016, 35,595 patients presented with brain metastases at the time of primary cancer diagnosis. Most patients received radiation and/or chemotherapy as part of the initial course of their treatment; 71.6% (n = 25,484) were irradiated while 54.4% (n = 19,371) received chemotherapy and 44.9% (n = 15,984) received chemoradiation. Patients in the highest Yost tertile and quintile experienced longer overall survival (P < 0.001). Additionally, multivariable logistic regression revealed that the lowest Yost quintile was significantly less likely to receive either radiation (adjusted OR: 0.82; 95% confidence interval: 0.75-0.89; P < 0.001) or chemotherapy (adjusted OR: 0.62; 95% confidence interval: 0.58-0.67; P < 0.001). CONCLUSIONS In a large, population-based analysis of brain metastasis patients, we found significant differences in treatment access and mild survival differences along socioeconomic strata. More specifically, patients in lower SES tiers suffered worse outcomes and received radiation and chemotherapy less frequently than patients in higher tiers, even after accounting for other tumor- and demographic-related information.
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43
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Hao P, Chen L, Ge Y, You Y, Yan G, Jin ZW. Time taken for a primary tumor to metastasize to the brain and the overall survival of patients with brain metastasis: An analysis of outcomes and factors affecting survival. Technol Health Care 2022; 30:259-270. [PMID: 35124603 PMCID: PMC9028614 DOI: 10.3233/thc-228025] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
BACKGROUND: Brain metastasis (BM) is one of the main causes of high morbidity and mortality in cancer patients. OBJECTIVE: To evaluate the factors that influenced the survival time of patients with primary cancer and survival time after BM. METHODS: Ninety patients with BM diagnosed by magnetic resonance imaging (MRI) were included in the study. We retrospectively analyzed the time to brain metastasis (TTB), overall survival time (OS1) and survival time after BM (OS2). The Kaplan-Meier method and Cox regression analysis were used for survival analyses. RESULTS: The median TTB was 12.0 (95% CI: 9.2–14.8 months), the median OS1 was 31.0 (95% CI: 25.8–35.2 months) and the median OS2 was 14.0 (95% CI: 10.9–17.1 months). Surgical excision of the primary tumor was an independent factor for a prolonged TTB (p< 0.000) and prolonged OS1 (p< 0.000). A single intracranial metastatic lesion was an independent protective factor for prolonged OS1 (p= 0.011) and prolonged OS2 (p= 0.050). TTB, OS1 and OS2 were analyzed with Gender (p< 0.000, < 0.000, and = 0.017, respectively). CONCLUSIONS: It suggests that TTB can be prolonged by primary tumor resection. Furthermore, women with a prolonged TTB and single intracranial metastasis are associated with high OS. These were helpful for the clinical treatment of BM patients before brain metastasis.
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Affiliation(s)
- Peiyu Hao
- Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Fujian, China
- Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Fujian, China
| | - Limei Chen
- Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Fujian, China
- Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Fujian, China
| | - Yuxi Ge
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi, Fujian, China
| | - Yaqian You
- Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Fujian, China
| | - Gen Yan
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi, Fujian, China
- Deparment of Radiology, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, Fujian, China
| | - Zhe-Wu Jin
- Department of Anatomy, Wuxi School of Medicine, Jiangnan University, Wuxi, Fujian, China
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44
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Shen E, Van Swearingen AED, Price MJ, Bulsara K, Verhaak RGW, Baëta C, Painter BD, Reitman ZJ, Salama AKS, Clarke JM, Anders CK, Fecci PE, Goodwin CR, Walsh KM. A Need for More Molecular Profiling in Brain Metastases. Front Oncol 2022; 11:785064. [PMID: 35145903 PMCID: PMC8821807 DOI: 10.3389/fonc.2021.785064] [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: 09/28/2021] [Accepted: 12/22/2021] [Indexed: 11/13/2022] Open
Abstract
As local disease control improves, the public health impact of brain metastases (BrM) continues to grow. Molecular features are frequently different between primary and metastatic tumors as a result of clonal evolution during neoplasm migration, selective pressures imposed by systemic treatments, and differences in the local microenvironment. However, biomarker information in BrM is not routinely obtained despite emerging evidence of its clinical value. We review evidence of discordance in clinically actionable biomarkers between primary tumors, extracranial metastases, and BrM. Although BrM biopsy/resection imposes clinical risks, these risks must be weighed against the potential benefits of assessing biomarkers in BrM. First, new treatment targets unique to a patient's BrM may be identified. Second, as BrM may occur late in a patient's disease course, resistance to initial targeted therapies and/or loss of previously identified biomarkers can occur by the time of occult BrM, rendering initial and other targeted therapies ineffective. Thus, current biomarker data can inform real-time treatment options. Third, biomarker information in BrM may provide useful prognostic information for patients. Appreciating the importance of biomarker analyses in BrM tissue, including how it may identify specific drivers of BrM, is critical for the development of more effective treatment strategies to improve outcomes for this growing patient population.
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Affiliation(s)
- Erica Shen
- Division of Neurosurgery, Department of Surgery, University of Connecticut, Farmington, CT, United States
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, United States
| | - Amanda E. D. Van Swearingen
- Division of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States
- Duke Center for Brain and Spine Metastasis, Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
| | - Meghan J. Price
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, United States
| | - Ketan Bulsara
- Division of Neurosurgery, Department of Surgery, University of Connecticut, Farmington, CT, United States
| | - Roeland G. W. Verhaak
- Division of Neurosurgery, Department of Surgery, University of Connecticut, Farmington, CT, United States
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, United States
- Department of Neurosurgery, Cancer Center Amsterdam, Amsterdam Universitair Medische Centra (UMC), Vrije Universiteit Amsterdam (VU) University Medical Center (VUmc), Amsterdam, Netherlands
| | - César Baëta
- Duke Center for Brain and Spine Metastasis, Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, United States
| | - Brice D. Painter
- Duke Center for Brain and Spine Metastasis, Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, United States
| | - Zachary J. Reitman
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, United States
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States
| | - April K. S. Salama
- Division of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States
- Duke Center for Brain and Spine Metastasis, Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
| | - Jeffrey M. Clarke
- Division of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States
- Duke Center for Brain and Spine Metastasis, Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
| | - Carey K. Anders
- Division of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States
- Duke Center for Brain and Spine Metastasis, Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
| | - Peter E. Fecci
- Duke Center for Brain and Spine Metastasis, Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, United States
| | - C. Rory Goodwin
- Duke Center for Brain and Spine Metastasis, Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, United States
| | - Kyle M. Walsh
- Duke Center for Brain and Spine Metastasis, Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, United States
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45
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Robador JR, Feinauer MJ, Schneider SW, Mayer FT, Gorzelanny C, Sacharow A, Liu X, Berghoff A, Brehm MA, Hirsch D, Stadler J, Vidal-Y-Si S, Wladykowski E, Asong M, Nowak K, Seiz-Rosenhagen M, Umansky V, Mess C, Pantel K, Winkler F, Bauer AT. Involvement of platelet-derived VWF in metastatic growth of melanoma in the brain. Neurooncol Adv 2022; 3:vdab175. [PMID: 34993481 PMCID: PMC8717898 DOI: 10.1093/noajnl/vdab175] [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: 11/14/2022] Open
Abstract
Background The prognosis of patients with brain metastases (BM) is poor despite advances in our understanding of the underlying pathophysiology. The high incidence of thrombotic complications defines tumor progression and the high mortality rate. We, therefore, postulated that von Willebrand factor (VWF) promotes BM via its ability to induce platelet aggregation and thrombosis. Methods We measured the abundance of VWF in the blood and intravascular platelet aggregates of patients with BM, and determined the specific contribution of endothelial and platelet-derived VWF using in vitro models and microfluidics. The relevance for the brain metastatic cascade in vivo was demonstrated in ret transgenic mice, which spontaneously develop BM, and by the intracardiac injection of melanoma cells. Results Higher levels of plasma VWF in patients with BM were associated with enhanced intraluminal VWF fiber formation and platelet aggregation in the metastatic tissue and peritumoral regions. Platelet activation triggered the formation of VWF multimers, promoting platelet aggregation and activation, in turn enhancing tumor invasiveness. The absence of VWF in platelets, or the blocking of platelet activation, abolished platelet aggregation, and reduced tumor cell transmigration. Anticoagulation and platelet inhibition consistently reduced the number of BM in preclinical animal models. Conclusions Our data indicate that platelet-derived VWF is involved in cerebral clot formation and in metastatic growth of melanoma in the brain. Targeting platelet activation with low-molecular-weight heparins represents a promising therapeutic approach to prevent melanoma BM.
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Affiliation(s)
- Jose R Robador
- Department of Dermatology and Venereology, University Hospital Hamburg-Eppendorf , Hamburg, Germany
| | - Manuel J Feinauer
- Neurology Clinic and National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.,Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Stefan W Schneider
- Department of Dermatology and Venereology, University Hospital Hamburg-Eppendorf , Hamburg, Germany
| | - Frank T Mayer
- Department of Dermatology and Venereology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Christian Gorzelanny
- Department of Dermatology and Venereology, University Hospital Hamburg-Eppendorf , Hamburg, Germany
| | - Artur Sacharow
- Department of Dermatology and Venereology, University Hospital Hamburg-Eppendorf , Hamburg, Germany
| | - Xiaobo Liu
- Department of Dermatology and Venereology, University Hospital Hamburg-Eppendorf , Hamburg, Germany
| | - Anna Berghoff
- Neurology Clinic and National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.,Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Maria A Brehm
- Department of Dermatology and Venereology, University Hospital Hamburg-Eppendorf , Hamburg, Germany
| | - Daniela Hirsch
- Institute of Pathology, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Julia Stadler
- Department of Dermatology and Venereology, University Hospital Hamburg-Eppendorf , Hamburg, Germany
| | - Sabine Vidal-Y-Si
- Department of Dermatology and Venereology, University Hospital Hamburg-Eppendorf , Hamburg, Germany
| | - Ewa Wladykowski
- Department of Dermatology and Venereology, University Hospital Hamburg-Eppendorf , Hamburg, Germany
| | - Marisse Asong
- Division of Translational Cancer Research, Department of Laboratory Medicine, Lund University, Lund, Sweden.,Lund Stem Cell Center, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Kai Nowak
- Department of Surgery, RoMed Kliniken Klinkum Rosenheim, Rosenheim, Germany
| | | | - Viktor Umansky
- Department of Dermatology and Venereology, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.,Skin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Christian Mess
- Department of Dermatology and Venereology, University Hospital Hamburg-Eppendorf , Hamburg, Germany
| | - Klaus Pantel
- Department of Tumor Biology, University Medical Centre Hamburg-Eppendorf , Hamburg, Germany
| | - Frank Winkler
- Neurology Clinic and National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.,Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Alexander T Bauer
- Department of Dermatology and Venereology, University Hospital Hamburg-Eppendorf , Hamburg, Germany
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Yin S, Luo X, Yang Y, Shao Y, Ma L, Lin C, Yang Q, Wang D, Luo Y, Mai Z, Fan W, Zheng D, Li J, Cheng F, Zhang Y, Zhong X, Shen F, Shao G, Wu J, Sun Y, Luo H, Li C, Gao Y, Shen D, Zhang R, Xie C. OUP accepted manuscript. Neuro Oncol 2022; 24:1559-1570. [PMID: 35100427 PMCID: PMC9435500 DOI: 10.1093/neuonc/noac025] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
| | | | | | - Ying Shao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
- R&D Department, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China
- Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Lidi Ma
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Cuiping Lin
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Qiuxia Yang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Deling Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yingwei Luo
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Zhijun Mai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Weixiong Fan
- Department of Magnetic Resonance, Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People’s Hospital, Meizhou, China
| | - Dechun Zheng
- Department of Radiology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, Fujian Province, China
| | - Jianpeng Li
- Department Of Radiology, Affiliated Dongguan Hospital, Southern Medical University, Dongguan, China
| | - Fengyan Cheng
- Department of Magnetic Resonance, Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People’s Hospital, Meizhou, China
| | - Yuhui Zhang
- Department of Magnetic Resonance, Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People’s Hospital, Meizhou, China
| | - Xinwei Zhong
- Department of Magnetic Resonance, Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People’s Hospital, Meizhou, China
| | - Fangmin Shen
- Department of Radiology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, Fujian Province, China
| | - Guohua Shao
- Department Of Radiology, Affiliated Dongguan Hospital, Southern Medical University, Dongguan, China
| | - Jiahao Wu
- Department Of Radiology, Affiliated Dongguan Hospital, Southern Medical University, Dongguan, China
| | - Ying Sun
- Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Huiyan Luo
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Chaofeng Li
- Department of Artificial Intelligence Laboratory, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yaozong Gao
- R&D Department, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China
| | - Dinggang Shen
- School of Biomedical Engineering, ShanghaiTech University, Shanghai, China
| | - Rong Zhang
- Rong Zhang, PhD, The Department of Radiology, 651 Dongfeng Road East, Yuexiu District, Guanzhou 510060, P.R. China ()
| | - Chuanmiao Xie
- Corresponding Authors: Chuanmiao Xie, PhD, The Department of Radiology, 651 Dongfeng Road East, Yuexiu District, Guanzhou 510060, P.R. China ()
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Outcomes in Patients With 4 to 10 Brain Metastases Treated With Dose-Adapted Single-Isocenter Multitarget Stereotactic Radiosurgery: A Prospective Study. Adv Radiat Oncol 2021; 6:100760. [PMID: 34934856 PMCID: PMC8655418 DOI: 10.1016/j.adro.2021.100760] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 07/13/2021] [Indexed: 12/20/2022] Open
Abstract
Purpose To examine the effectiveness and safety of single-isocenter multitarget stereotactic radiosurgery using a volume-adapted dosing strategy in patients with 4 to 10 brain metastases. Methods and Materials Adult patients with 4 to 10 brain metastases were eligible for this prospective trial. The primary endpoint was overall survival. Secondary endpoints were local recurrence, distant brain failure, neurologic death, and rate of adverse events. Exploratory objectives were neurocognition, quality of life, dosimetric data, salvage rate, and radionecrosis. Dose was prescribed in a single fraction per RTOG 90-05 or as 5 Gy × 5 fractions for lesions ≥3 cm diameter, lesions involving critical structures, or single-fraction brain V12Gy >20 mL. Results Forty patients were treated with median age of 61 years, Karnofsky performance status 90, and 6 brain metastases. Twenty-two patients survived longer than expected from the time of protocol SRS, with 1 living patient who has not reached that milestone. Median overall survival was 8.1 months with a 1-year overall survival of 35.7%. The 1-year local recurrence rate was 5% (10 of 204 of evaluable lesions) in 12.5% (4 of 32) of the patients. Distant brain failure was observed in 19 of 32 patients with a 1-year rate of 35.8%. Grade 1-2 headache was the most common complaint, with no grade 3-5 treatment-related adverse events. Radionecrosis was observed in only 5 lesions, with a 1-year rate of 1.5%. Rate of neurologic death was 20%. Neurocognition and quality of life did not significantly change 3 months after SRS compared with pretreatment. Conclusions These results suggest that volume-adapted dosing single-isocenter multitarget stereotactic radiosurgery is an effective and safe treatment for patients with 4 to 10 brain metastases.
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Chevli N, Hunt A, Haque W, Farach AM, Messer JA, Sukpraprut-Braaten S, Bernicker EH, Zhang J, Butler EB, Teh BS. Time Interval to Initiation of Whole-Brain Radiation Therapy in Patients With Small Cell Lung Cancer With Brain Metastasis. Adv Radiat Oncol 2021; 6:100783. [PMID: 34934862 PMCID: PMC8655395 DOI: 10.1016/j.adro.2021.100783] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 08/20/2021] [Indexed: 01/22/2023] Open
Abstract
Purpose Patients with small cell lung cancer (SCLC) who have brain metastases require whole-brain radiation therapy (WBRT). When there is no emergent indication for WBRT, patients may receive systemic therapy first and WBRT afterward. In scenarios when systemic therapy is initiated first, it has not been previously investigated whether delaying WBRT is harmful. Methods and Materials The National Cancer Database was queried (2004-2016) for patients with SCLC with brain metastases who received 30 Gy in 10 fractions of WBRT. Patients were divided into groups based on whether they received early WBRT (3-14 days after initiation of chemotherapy) or late WBRT (15-90 days after initiation of chemotherapy). Demographic and clinicopathologic categorical variables were compared between those who had early WBRT (3-14 days) and those who had late WBRT (15-90 days). Factors predictive for late WBRT were determined. Overall survival (OS), which was defined as days from diagnosis to death, was evaluated and variables prognostic for OS were determined. Results A total of 1082 patients met selection criteria; 587 (54%) had early WBRT and 495 (46%) received late WBRT. Groups were similarly distributed aside from days from initiating chemotherapy to initiating WBRT (P < .001). The early WBRT group had a median of 7 days (interquartile range [IQR], 5-10 days) from initiating chemotherapy to initiating WBRT and the late WBRT group had a median of 34 days (IQR, 21-57 days). On binary logistic regression analysis, a longer time interval between diagnosis and the start of systemic therapy was predictive for later WBRT. Median OS was 8.7 months for early WBRT and 7.5 months for late WBRT (hazard ratio [HR], 1.165; P = .008). Early WBRT (P = .02), female sex (P = .045), and private insurance (P = .04) were favorable prognostic factors for OS on multivariable analysis, whereas older age (P = .006) was an unfavorable prognostic factor. Conclusions Patients with SCLC and brain metastases who received early WBRT were found to have a modest improvement in OS compared with patients who received late WBRT. These findings suggest that early WBRT should be offered to patients who have brain metastases, even in the absence of an indication for emergent WBRT.
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Affiliation(s)
- Neil Chevli
- Department of Radiation Oncology, University of Texas Medical Branch at Galveston, Galveston, Texas
| | | | - Waqar Haque
- Department of Radiation Oncology, Houston Methodist Hospital, Houston, Texas
| | - Andrew M Farach
- Department of Radiation Oncology, Houston Methodist Hospital, Houston, Texas
| | - Jay A Messer
- Department of Radiation Oncology, University of Texas Medical Branch at Galveston, Galveston, Texas
| | | | - Eric H Bernicker
- Department of Medical Oncology, Houston Methodist Hospital, Houston, Texas
| | - Jun Zhang
- Department of Medical Oncology, Houston Methodist Hospital, Houston, Texas
| | - E Brian Butler
- Department of Radiation Oncology, Houston Methodist Hospital, Houston, Texas
| | - Bin S Teh
- Department of Radiation Oncology, Houston Methodist Hospital, Houston, Texas
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Srinivasan ES, Deshpande K, Neman J, Winkler F, Khasraw M. The microenvironment of brain metastases from solid tumors. Neurooncol Adv 2021; 3:v121-v132. [PMID: 34859239 PMCID: PMC8633769 DOI: 10.1093/noajnl/vdab121] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
Brain metastasis (BrM) is an area of unmet medical need that poses unique therapeutic challenges and heralds a dismal prognosis. The intracranial tumor microenvironment (TME) presents several challenges, including the therapy-resistant blood-brain barrier, a unique immune milieu, distinct intercellular interactions, and specific metabolic conditions, that are responsible for treatment failures and poor clinical outcomes. There is a complex interplay between malignant cells that metastasize to the central nervous system (CNS) and the native TME. Cancer cells take advantage of vascular, neuronal, immune, and anatomical vulnerabilities to proliferate with mechanisms specific to the CNS. In this review, we discuss unique aspects of the TME in the context of brain metastases and pathways through which the TME may hold the key to the discovery of new and effective therapies for patients with BrM.
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Affiliation(s)
- Ethan S Srinivasan
- Duke Brain and Spine Metastases Center, Duke University, Durham, North Carolina, USA
| | - Krutika Deshpande
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Josh Neman
- Department of Neurological Surgery, Physiology and Neuroscience, USC Brain Tumor Center, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Frank Winkler
- Neurology Clinic and National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.,Clinical Cooperation Unit Neurooncology, German Cancer Consortium, German Cancer Research Center, Heidelberg, Germany
| | - Mustafa Khasraw
- Duke Brain and Spine Metastases Center, Duke University, Durham, North Carolina, USA
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50
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Srinivasan ES, Grabowski MM, Nahed BV, Barnett GH, Fecci PE. Laser interstitial thermal therapy for brain metastases. Neurooncol Adv 2021; 3:v16-v25. [PMID: 34859229 PMCID: PMC8633752 DOI: 10.1093/noajnl/vdab128] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Laser interstitial thermal therapy (LITT) is a minimally invasive treatment for intracranial lesions entailing thermal ablation via a stereotactically placed laser probe. In metastatic disease, it has shown the most promise in the treatment of radiographically progressive lesions after initial stereotactic radiosurgery, whether due to recurrent metastatic disease or radiation necrosis. LITT has been demonstrated to provide clinical benefit in both cases, as discussed in the review below. With its minimal surgical footprint and short recovery period, LITT is further advantaged for patients who are otherwise high-risk surgical candidates or with lesions in difficult to access locations. Exploration of the current data on its use in metastatic disease will allow for a better understanding of the indications, benefits, and future directions of LITT for these patients.
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Affiliation(s)
| | - Matthew M Grabowski
- Department of Neurosurgery, Cleveland Clinic & Case Comprehensive Cancer Center, Cleveland, Ohio, USA
| | - Brian V Nahed
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Gene H Barnett
- Department of Neurosurgery, Cleveland Clinic & Case Comprehensive Cancer Center, Cleveland, Ohio, USA
| | - Peter E Fecci
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina, USA
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