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Zhou Q, van den Berg NS, Kang W, Pei J, Nishio N, van Keulen S, Engelen MA, Lee YJ, Hom M, Vega Leonel JCM, Hart Z, Vogel H, Cayrol R, Martin BA, Roesner M, Shields G, Lui N, Hayden Gephart M, Raymundo RC, Yi G, Granucci M, Grant GA, Li G, Rosenthal EL. Factors for differential outcome across cancers in clinical molecular-targeted fluorescence imaging. J Nucl Med 2022; 63:1693-1700. [PMID: 35332092 PMCID: PMC9635681 DOI: 10.2967/jnumed.121.263674] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Revised: 03/22/2022] [Indexed: 11/16/2022]
Abstract
Clinical imaging performance using a fluorescent antibody was compared across three cancers to elucidate physical and biological factors contributing to differential translation of epidermal growth factor receptor (EGFR) expression to macroscopic fluorescence in tumors. Methods: Thirty-one patients with high-grade glioma (HGG, n = 5), head-and-neck squamous cell carcinoma (HNSCC, n = 23) or lung adenocarcinoma (LAC, n = 3) were systemically infused with 50 mg panitumumab-IRDye800, 1 - 3 days prior to surgery. Intraoperative open-field fluorescent images of the surgical field were acquired, where imaging device settings and operating room lighting conditions were tested on tissue-mimicking phantoms. Fluorescence contrast and margin size were measured on resected specimen surface. Antibody distribution and EGFR immunoreactivity were characterized in macroscopic and microscopic histological structures. Integrity of the blood-brain barrier (BBB) was examined via tight junction protein (claudin-5) expression with immunohistochemistry. Stepwise multivariate linear regression of biological variables was performed to identify independent predictors of panitumumab-IRDye800 concentration in tissue. Results: Optimally acquired at the lowest gain for tumor detection with ambient light, intraoperative fluorescence imaging enhanced tissue-size dependent tumor contrast by 5.2-fold, 3.4-fold and 1.4-fold in HGG, HNSCC and LAC, respectively. Tissue surface fluorescence target-to-background ratio correlated with margin size and identified 78 - 97% of at-risk resection margins ex vivo. In 4 µm-thick tissue sections, fluorescence detected tumor with 0.85 - 0.89 areas under the receiver operating characteristic curves. Preferential breakdown of BBB in HGG improved tumor specificity of intratumoral antibody distribution relative to that of EGFR (96% vs 80%) despite its reduced concentration (3.9 ng/mg tissue) compared to HNSCC (8.1 ng/mg) and LAC (6.3 ng/mg). Cellular EGFR expression, tumor cell density, plasma antibody concentration and delivery barrier were independently associated with local intratumoral panitumumab-IRDye800 concentration with 0.62 goodness-of-fit of prediction. Conclusion: In multi-cancer clinical imaging of receptor-ligand based molecular probe, plasma antibody concentration, delivery barrier, as well as intratumoral EGFR expression driven by cellular biomarker expression and tumor cell density, led to heterogeneous intratumoral antibody accumulation and spatial distribution while tumor size, resection margin, and intraoperative imaging settings substantially influenced macroscopic tumor contrast.
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Affiliation(s)
- Quan Zhou
- Department of Neurosurgery, Stanford University School of Medicine, United States
| | | | - Wenying Kang
- Department of Otolaryngology, Stanford University School of Medicine
| | - Jacqueline Pei
- Department of Otolaryngology, Stanford University School of Medicine
| | - Naoki Nishio
- Department of Otorhinolaryngology, Nagoya University Graduate School of Medicine
| | - Stan van Keulen
- Department of Oral and Maxillofacial Surgery and Oral Pathology, Amsterdam UMC
| | - Myrthe A Engelen
- Department of Mechanical Engineering, Delft University of Technology
| | - Yu-Jin Lee
- Department of Otolaryngology, Stanford University School of Medicine
| | - Marisa Hom
- Department of Otolaryngology, Stanford University School of Medicine
| | | | - Zachary Hart
- Department of Otolaryngology, Stanford University School of Medicine
| | | | | | | | - Mark Roesner
- Stanford Health Care, Stanford University Medical Center
| | - Glenn Shields
- Stanford Health Care, Stanford University Medical Center
| | - Natalie Lui
- Department of Cardiothoracic Surgery, Stanford University Medical Center
| | | | - Roan C Raymundo
- Cancer Clinical Trials Office, Stanford University School of Medicine
| | - Grace Yi
- Cancer Clinical Trials Office, Stanford University School of Medicine
| | - Monica Granucci
- Cancer Clinical Trials Office, Stanford University School of Medicine
| | - Gerald A Grant
- Department of Neurosurgery, Stanford University School of Medicine, United States
| | - Gordon Li
- Department of Neurosurgery, Stanford University School of Medicine, United States
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2
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Beinat C, Patel CB, Haywood T, Murty S, Naya L, Castillo JB, Reyes ST, Phillips M, Buccino P, Shen B, Park JH, Koran MEI, Alam IS, James ML, Holley D, Halbert K, Gandhi H, He JQ, Granucci M, Johnson E, Liu DD, Uchida N, Sinha R, Chu P, Born DE, Warnock GI, Weissman I, Hayden-Gephart M, Khalighi M, Massoud TF, Iagaru A, Davidzon G, Thomas R, Nagpal S, Recht LD, Gambhir SS. A Clinical PET Imaging Tracer ([ 18F]DASA-23) to Monitor Pyruvate Kinase M2-Induced Glycolytic Reprogramming in Glioblastoma. Clin Cancer Res 2021; 27:6467-6478. [PMID: 34475101 PMCID: PMC8639752 DOI: 10.1158/1078-0432.ccr-21-0544] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 07/15/2021] [Accepted: 08/30/2021] [Indexed: 01/10/2023]
Abstract
PURPOSE Pyruvate kinase M2 (PKM2) catalyzes the final step in glycolysis, a key process of cancer metabolism. PKM2 is preferentially expressed by glioblastoma (GBM) cells with minimal expression in healthy brain. We describe the development, validation, and translation of a novel PET tracer to study PKM2 in GBM. We evaluated 1-((2-fluoro-6-[18F]fluorophenyl)sulfonyl)-4-((4-methoxyphenyl)sulfonyl)piperazine ([18F]DASA-23) in cell culture, mouse models of GBM, healthy human volunteers, and patients with GBM. EXPERIMENTAL DESIGN [18F]DASA-23 was synthesized with a molar activity of 100.47 ± 29.58 GBq/μmol and radiochemical purity >95%. We performed initial testing of [18F]DASA-23 in GBM cell culture and human GBM xenografts implanted orthotopically into mice. Next, we produced [18F]DASA-23 under FDA oversight, and evaluated it in healthy volunteers and a pilot cohort of patients with glioma. RESULTS In mouse imaging studies, [18F]DASA-23 clearly delineated the U87 GBM from surrounding healthy brain tissue and had a tumor-to-brain ratio of 3.6 ± 0.5. In human volunteers, [18F]DASA-23 crossed the intact blood-brain barrier and was rapidly cleared. In patients with GBM, [18F]DASA-23 successfully outlined tumors visible on contrast-enhanced MRI. The uptake of [18F]DASA-23 was markedly elevated in GBMs compared with normal brain, and it identified a metabolic nonresponder within 1 week of treatment initiation. CONCLUSIONS We developed and translated [18F]DASA-23 as a new tracer that demonstrated the visualization of aberrantly expressed PKM2 for the first time in human subjects. These results warrant further clinical evaluation of [18F]DASA-23 to assess its utility for imaging therapy-induced normalization of aberrant cancer metabolism.
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Affiliation(s)
- Corinne Beinat
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California.
| | - Chirag B Patel
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California
| | - Tom Haywood
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California
| | - Surya Murty
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California
| | - Lewis Naya
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California
| | - Jessa B Castillo
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California
| | - Samantha T Reyes
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California
| | - Megan Phillips
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California
| | - Pablo Buccino
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California
| | - Bin Shen
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California
| | - Jun Hyung Park
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California
| | - Mary Ellen I Koran
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Stanford University, Stanford, California
| | - Israt S Alam
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California
| | - Michelle L James
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California
| | - Dawn Holley
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California
| | - Kim Halbert
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California
| | - Harsh Gandhi
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California
| | - Joy Q He
- Stanford Institute for Stem Cell Biology and Regenerative Medicine, Department of Pathology, Stanford University School of Medicine, Stanford, California
| | - Monica Granucci
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, California
| | - Eli Johnson
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, California
| | - Daniel Dan Liu
- Stanford Institute for Stem Cell Biology and Regenerative Medicine, Department of Pathology, Stanford University School of Medicine, Stanford, California
| | - Nobuko Uchida
- Stanford Institute for Stem Cell Biology and Regenerative Medicine, Department of Pathology, Stanford University School of Medicine, Stanford, California
| | - Rahul Sinha
- Stanford Institute for Stem Cell Biology and Regenerative Medicine, Department of Pathology, Stanford University School of Medicine, Stanford, California
| | - Pauline Chu
- Stanford Human Research Histology Core, Stanford University School of Medicine, Stanford, California
| | - Donald E Born
- Department of Pathology, Neuropathology, Stanford University School of Medicine, Stanford, California
| | | | - Irving Weissman
- Stanford Institute for Stem Cell Biology and Regenerative Medicine, Department of Pathology, Stanford University School of Medicine, Stanford, California
| | - Melanie Hayden-Gephart
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, California
| | - Mehdi Khalighi
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California
| | - Tarik F Massoud
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California
- Division of Neuroimaging and Neurointervention, Department of Radiology, Stanford University School of Medicine, Stanford, California
| | - Andrei Iagaru
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Stanford University, Stanford, California
| | - Guido Davidzon
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Stanford University, Stanford, California
| | - Reena Thomas
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California
| | - Seema Nagpal
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California
| | - Lawrence D Recht
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California.
| | - Sanjiv Sam Gambhir
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, California
- Departments of Bioengineering and Materials Science & Engineering, Stanford University, Stanford, California
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3
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Li Y, Polyak D, Lamsam L, Connolly ID, Johnson E, Khoeur LK, Andersen S, Granucci M, Stanley G, Liu B, Nagpal S, Hayden Gephart M. Comprehensive RNA analysis of CSF reveals a role for CEACAM6 in lung cancer leptomeningeal metastases. NPJ Precis Oncol 2021; 5:90. [PMID: 34625644 PMCID: PMC8501028 DOI: 10.1038/s41698-021-00228-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 08/26/2021] [Indexed: 12/02/2022] Open
Abstract
Non-small cell lung cancer (NSCLC) metastatic to the brain leptomeninges is rapidly fatal, cannot be biopsied, and cancer cells in the cerebrospinal fluid (CSF) are few; therefore, available tissue samples to develop effective treatments are severely limited. This study aimed to converge single-cell RNA-seq and cell-free RNA (cfRNA) analyses to both diagnose NSCLC leptomeningeal metastases (LM), and to use gene expression profiles to understand progression mechanisms of NSCLC in the brain leptomeninges. NSCLC patients with suspected LM underwent withdrawal of CSF via lumbar puncture. Four cytology-positive CSF samples underwent single-cell capture (n = 197 cells) by microfluidic chip. Using robust principal component analyses, NSCLC LM cell gene expression was compared to immune cells. Massively parallel qPCR (9216 simultaneous reactions) on human CSF cfRNA samples compared the relative gene expression of patients with NSCLC LM (n = 14) to non-tumor controls (n = 7). The NSCLC-associated gene, CEACAM6, underwent in vitro validation in NSCLC cell lines for involvement in pathologic behaviors characteristic of LM. NSCLC LM gene expression revealed by single-cell RNA-seq was also reflected in CSF cfRNA of cytology-positive patients. Tumor-associated cfRNA (e.g., CEACAM6, MUC1) was present in NSCLC LM patients' CSF, but not in controls (CEACAM6 detection sensitivity 88.24% and specificity 100%). Cell migration in NSCLC cell lines was directly proportional to CEACAM6 expression, suggesting a role in disease progression. NSCLC-associated cfRNA is detectable in the CSF of patients with LM, and corresponds to the gene expression profile of NSCLC LM cells. CEACAM6 contributes significantly to NSCLC migration, a hallmark of LM pathophysiology.
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Affiliation(s)
- Yingmei Li
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Dina Polyak
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Layton Lamsam
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Ian David Connolly
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Eli Johnson
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Lina Khav Khoeur
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Stephanie Andersen
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Monica Granucci
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Geoff Stanley
- Department of Biophysics, Stanford University School of Medicine, Stanford, CA, USA
| | - Boxiang Liu
- Department of Biology, Stanford University School of Humanities & Sciences, Stanford, CA, USA
| | - Seema Nagpal
- Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
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4
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Zhou Q, van den Berg NS, Rosenthal EL, Iv M, Zhang M, Vega Leonel JCM, Walters S, Nishio N, Granucci M, Raymundo R, Yi G, Vogel H, Cayrol R, Lee YJ, Lu G, Hom M, Kang W, Hayden Gephart M, Recht L, Nagpal S, Thomas R, Patel C, Grant GA, Li G. EGFR-targeted intraoperative fluorescence imaging detects high-grade glioma with panitumumab-IRDye800 in a phase 1 clinical trial. Theranostics 2021; 11:7130-7143. [PMID: 34158840 PMCID: PMC8210618 DOI: 10.7150/thno.60582] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 04/24/2021] [Indexed: 12/12/2022] Open
Abstract
Rationale: First-line therapy for high-grade gliomas (HGGs) includes maximal safe surgical resection. The extent of resection predicts overall survival, but current neuroimaging approaches lack tumor specificity. The epidermal growth factor receptor (EGFR) is a highly expressed HGG biomarker. We evaluated the safety and feasibility of an anti-EGFR antibody, panitumuab-IRDye800, at subtherapeutic doses as an imaging agent for HGG. Methods: Eleven patients with contrast-enhancing HGGs were systemically infused with panitumumab-IRDye800 at a low (50 mg) or high (100 mg) dose 1-5 days before surgery. Near-infrared fluorescence imaging was performed intraoperatively and ex vivo, to identify the optimal tumor-to-background ratio by comparing mean fluorescence intensities of tumor and histologically uninvolved tissue. Fluorescence was correlated with preoperative T1 contrast, tumor size, EGFR expression and other biomarkers. Results: No adverse events were attributed to panitumumab-IRDye800. Tumor fragments as small as 5 mg could be detected ex vivo and detection threshold was dose dependent. In tissue sections, panitumumab-IRDye800 was highly sensitive (95%) and specific (96%) for pathology confirmed tumor containing tissue. Cellular delivery of panitumumab-IRDye800 was correlated to EGFR overexpression and compromised blood-brain barrier in HGG, while normal brain tissue showed minimal fluorescence. Intraoperative fluorescence improved optical contrast in tumor tissue within and beyond the T1 contrast-enhancing margin, with contrast-to-noise ratios of 9.5 ± 2.1 and 3.6 ± 1.1, respectively. Conclusions: Panitumumab-IRDye800 provided excellent tumor contrast and was safe at both doses. Smaller fragments of tumor could be detected at the 100 mg dose and thus more suitable for intraoperative imaging.
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Affiliation(s)
- Quan Zhou
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
- Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Nynke S. van den Berg
- Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Eben L. Rosenthal
- Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cancer Center, Stanford University, Stanford, CA, USA
| | - Michael Iv
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael Zhang
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Shannon Walters
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Naoki Nishio
- Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Monica Granucci
- Cancer Clinical Trials Office, Stanford University School of Medicine, Stanford, CA, USA
| | - Roan Raymundo
- Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, USA
- Cancer Clinical Trials Office, Stanford University School of Medicine, Stanford, CA, USA
| | - Grace Yi
- Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, USA
- Cancer Clinical Trials Office, Stanford University School of Medicine, Stanford, CA, USA
| | - Hannes Vogel
- Department of Neuropathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Romain Cayrol
- Department of Neuropathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Yu-Jin Lee
- Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Guolan Lu
- Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Marisa Hom
- Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Wenying Kang
- Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Larry Recht
- Department of Neurology, Stanford University School of Medicine, Stanford, CA, USA
| | - Seema Nagpal
- Department of Neurology, Stanford University School of Medicine, Stanford, CA, USA
| | - Reena Thomas
- Department of Neurology, Stanford University School of Medicine, Stanford, CA, USA
| | - Chirag Patel
- Department of Neurology, Stanford University School of Medicine, Stanford, CA, USA
| | - Gerald A. Grant
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Gordon Li
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
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5
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Bhambhvani HP, Granucci M, Rodrigues A, Kakusa BW, Hayden Gephart M. The primary sites leading to brain metastases: Shifting trends at a tertiary care center. J Clin Neurosci 2020; 80:121-124. [PMID: 33099333 DOI: 10.1016/j.jocn.2020.08.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 07/24/2020] [Accepted: 08/03/2020] [Indexed: 10/23/2022]
Abstract
While the majority of brain metastases arise from lung cancer, breast cancer, or melanoma, new treatments and improved prognoses have altered the profile of primary cancers that metastasize to the brain. We sought to determine the proportion of brain metastases from less common primary sites and conduct trend analyses. We reviewed the charts of 3585 patients with brain metastases seen at our institution from 2008 to 2018. We determined the primary site for each of these patients, and the Mann-Kendall test was used to evaluate temporal trends in the yearly proportion of brain metastases originating from each primary cancer. The five most common primary sites were lung (43.0%), breast (19.9%), melanoma (8.2%), renal (5.0%), and colorectal (3.8%). The proportion of yearly brain metastases originating from breast cancer (p = 0.029) and melanoma (p = 0.013) decreased by 23.8% and 46.7%, respectively, from 2008 (0.21 breast, 0.15 melanoma) to 2018 (0.16 breast, 0.08 melanoma), while no change was found in the proportion of brain metastases from lung, renal, and colorectal cancers. Brain metastases arising from rare primary sites, defined as those comprising at most 2% of all brain metastases, increased by 34.4% (p = 0.005). Limited sample size prohibited trend analysis of other individual primary sites. We report a decrease over 11 years in the proportion of brain metastases originating from breast cancer and melanoma at our institution, and an increase in brain metastases from rare primary sites. Further work with larger, multi-center databases will enable additional evaluation of brain metastases from rare primary sites.
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Affiliation(s)
- Hriday P Bhambhvani
- Department of Neurosurgery, Stanford University Medical Center, Stanford, CA, USA
| | - Monica Granucci
- Department of Neurosurgery, Stanford University Medical Center, Stanford, CA, USA
| | - Adrian Rodrigues
- Department of Neurosurgery, Stanford University Medical Center, Stanford, CA, USA
| | - Bina W Kakusa
- Department of Neurosurgery, Stanford University Medical Center, Stanford, CA, USA
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