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Azad TD, Nanjo S, Jin MC, Chabon JJ, Kurtz DM, Chaudhuri AA, Connolly ID, Hui ABY, Liu CL, Merriott D, Ko R, Yoo C, Carter J, Chen E, Bonilla R, Hata A, Katakami N, Irie K, Yano S, Okimoto R, Bivona TG, Newman AM, Iv M, Nagpal S, Gephart MH, Alizadeh AA, Diehn M. Quantification of cerebrospinal fluid tumor DNA in lung cancer patients with suspected leptomeningeal carcinomatosis. NPJ Precis Oncol 2024; 8:121. [PMID: 38806586 PMCID: PMC11133465 DOI: 10.1038/s41698-024-00582-1] [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: 07/03/2023] [Accepted: 03/28/2024] [Indexed: 05/30/2024] Open
Abstract
Cerebrospinal fluid tumor-derived DNA (CSF-tDNA) analysis is a promising approach for monitoring the neoplastic processes of the central nervous system. We applied a lung cancer-specific sequencing panel (CAPP-Seq) to 81 CSF, blood, and tissue samples from 24 lung cancer patients who underwent lumbar puncture (LP) for suspected leptomeningeal disease (LMD). A subset of the cohort (N = 12) participated in a prospective trial of osimertinib for refractory LMD in which serial LPs were performed before and during treatment. CSF-tDNA variant allele fractions (VAFs) were significantly higher than plasma circulating tumor DNA (ctDNA) VAFs (median CSF-tDNA, 32.7%; median plasma ctDNA, 1.8%; P < 0.0001). Concentrations of tumor DNA in CSF and plasma were positively correlated (Spearman's ρ, 0.45; P = 0.03). For LMD diagnosis, cytology was 81.8% sensitive and CSF-tDNA was 91.7% sensitive. CSF-tDNA was also strongly prognostic for overall survival (HR = 7.1; P = 0.02). Among patients with progression on targeted therapy, resistance mutations, such as EGFR T790M and MET amplification, were common in peripheral blood but were rare in time-matched CSF, indicating differences in resistance mechanisms based on the anatomic compartment. In the osimertinib cohort, patients with CNS progression had increased CSF-tDNA VAFs at follow-up LP. Post-osimertinib CSF-tDNA VAF was strongly prognostic for CNS progression (HR = 6.2, P = 0.009). Detection of CSF-tDNA in lung cancer patients with suspected LMD is feasible and may have clinical utility. CSF-tDNA improves the sensitivity of LMD diagnosis, enables improved prognostication, and drives therapeutic strategies that account for spatial heterogeneity in resistance mechanisms.
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Affiliation(s)
- Tej D Azad
- Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA
| | - Shigeki Nanjo
- Department of Medicine, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
- Department of Respiratory Medicine, Kanazawa University Hospital, Kanazawa, Japan
| | - Michael C Jin
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Jacob J Chabon
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA
| | - David M Kurtz
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Aadel A Chaudhuri
- Department of Radiation Oncology, Mayo Clinic, Rochester, MN, USA
- Mayo Clinic Comprehensive Cancer Center, Rochester, MN, USA
| | - Ian D Connolly
- Department of Neurosurgery, Stanford University, Stanford, CA, USA
| | - Angela Bik-Yu Hui
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA
- Department of Radiation Oncology, Stanford University, Stanford, CA, USA
| | - Chih Long Liu
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA, USA
| | - David Merriott
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA
- Department of Radiation Oncology, Stanford University, Stanford, CA, USA
| | - Ryan Ko
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA
- Department of Radiation Oncology, Stanford University, Stanford, CA, USA
| | - Christopher Yoo
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA
- Department of Radiation Oncology, Stanford University, Stanford, CA, USA
| | - Justin Carter
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA
- Department of Radiation Oncology, Stanford University, Stanford, CA, USA
| | - Emily Chen
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA
- Department of Radiation Oncology, Stanford University, Stanford, CA, USA
| | - Rene Bonilla
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA
- Department of Radiation Oncology, Stanford University, Stanford, CA, USA
| | - Akito Hata
- Department of Medical Oncology, Kobe Minimally Invasive Cancer Center, Kobe, Japan
| | - Nobuyuki Katakami
- Department of Medical Oncology, Takarazuka City Hospital, Hyogo, Japan
| | - Kei Irie
- Department of Pharmaceutics, Faculty of Pharmaceutical Science, Kobe Gakuin University, Kobe, Japan
| | - Seiji Yano
- Department of Respiratory Medicine, Kanazawa University Hospital, Kanazawa, Japan
| | - Ross Okimoto
- Department of Medicine, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Trever G Bivona
- Department of Medicine, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Aaron M Newman
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA
| | - Michael Iv
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Seema Nagpal
- Department of Neurology, Stanford University, Stanford, CA, USA
| | | | - Ash A Alizadeh
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA.
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA, USA.
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA.
| | - Maximilian Diehn
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA.
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA.
- Department of Radiation Oncology, Stanford University, Stanford, CA, USA.
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Khalighi S, Reddy K, Midya A, Pandav KB, Madabhushi A, Abedalthagafi M. Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment. NPJ Precis Oncol 2024; 8:80. [PMID: 38553633 PMCID: PMC10980741 DOI: 10.1038/s41698-024-00575-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 03/13/2024] [Indexed: 04/02/2024] Open
Abstract
This review delves into the most recent advancements in applying artificial intelligence (AI) within neuro-oncology, specifically emphasizing work on gliomas, a class of brain tumors that represent a significant global health issue. AI has brought transformative innovations to brain tumor management, utilizing imaging, histopathological, and genomic tools for efficient detection, categorization, outcome prediction, and treatment planning. Assessing its influence across all facets of malignant brain tumor management- diagnosis, prognosis, and therapy- AI models outperform human evaluations in terms of accuracy and specificity. Their ability to discern molecular aspects from imaging may reduce reliance on invasive diagnostics and may accelerate the time to molecular diagnoses. The review covers AI techniques, from classical machine learning to deep learning, highlighting current applications and challenges. Promising directions for future research include multimodal data integration, generative AI, large medical language models, precise tumor delineation and characterization, and addressing racial and gender disparities. Adaptive personalized treatment strategies are also emphasized for optimizing clinical outcomes. Ethical, legal, and social implications are discussed, advocating for transparency and fairness in AI integration for neuro-oncology and providing a holistic understanding of its transformative impact on patient care.
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Affiliation(s)
- Sirvan Khalighi
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
| | - Kartik Reddy
- Department of Radiology, Emory University, Atlanta, GA, USA
| | - Abhishek Midya
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
| | - Krunal Balvantbhai Pandav
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
| | - Anant Madabhushi
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
- Atlanta Veterans Administration Medical Center, Atlanta, GA, USA.
| | - Malak Abedalthagafi
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA, USA.
- The Cell and Molecular Biology Program, Winship Cancer Institute, Atlanta, GA, USA.
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Miao Q, Zheng X, Li L, Zheng X, Zhang L, Jiang K, Wu S, Wang H, Wu B, Xu Y, Zhong Q, Zou Z, Zhang Q, Yang S, Li Y, Lin G. Cerebrospinal fluid circulating tumor DNA contributes to the detection and characterization of leptomeningeal metastasis in non-small cell lung cancer. J Neurooncol 2023; 165:517-525. [PMID: 38104049 DOI: 10.1007/s11060-023-04520-2] [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: 10/19/2023] [Accepted: 11/21/2023] [Indexed: 12/19/2023]
Abstract
PURPOSE Cerebrospinal fluid (CSF) has revealed the unique genetic characteristics of leptomeningeal metastasis (LM) from non-small cell lung cancer (NSCLC). However, the research in this area is still very limited. METHODS Patients with LM from NSCLC (n = 80) were retrospectively analyzed. Circulating tumor DNA (ctDNA) in CSF was tested by next-generation sequencing (NGS), with paired extracranial tissue or plasma samples included for comparison. An independent non-LM cohort (n = 100) was also analyzed for comparative purposes. Clinical outcomes were compared with Kaplan-Meier log-rank test and Cox proportional hazards methodologies. RESULTS An overwhelming 93.8% of patients carried druggable mutations in NSCLC LM, with EGFR (78.8%) being the most prevalent. Notably, 4 patients who tested negative for driver genes in extracranial samples surprisingly showed EGFR mutations in their CSF and subsequently benefited from targeted therapy. There was a clear difference in genetic profiles between CSF and extracranial samples, with CSF showing more driver gene detections, increased Copy Number Variations (CNVs), and varied resistance mechanisms among individuals. Abnormalities in cell-cycle regulatory molecules were highly enriched in LM (50.9% vs 31.0%, p = 0.017), and CDKN2A/2B deletions were identified as an independent poor prognostic factor for LM patients, with a significant reduction in median OS (p = 0.013), supported by multivariate analysis (HR 2.63, 95% CI 1.32-5.26, p = 0.006). CONCLUSIONS CSF-based ctDNA analysis is crucial for detecting and characterizing genetic alterations in NSCLC LM. The distinct genetic profiles in CSF and extracranial tissues emphasize the need for personalized treatment approaches.
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Affiliation(s)
- Qian Miao
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Xinlong Zheng
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Lifeng Li
- Geneplus-Beijing Institute, Beijing, China
| | - Xiaobin Zheng
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Longfeng Zhang
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Kan Jiang
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Shiwen Wu
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Haibo Wang
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Biao Wu
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Yiquan Xu
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Qiaofeng Zhong
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Zihua Zou
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Qiuyu Zhang
- Institute of Immunotherapy, Fujian Medical University, Fuzhou, China
| | - Shanshan Yang
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Yujing Li
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Gen Lin
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
- Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China.
- Interdisciplinary Institute for Medical Engineering, Fuzhou University, Fuzhou, China.
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Hou L, Chen X, Qiu G, Qi X, Zou Y, He J, Bu H. Cerebrospinal fluid exosomal protein alterations via proteomic analysis of NSCLC with leptomeningeal carcinomatosis. J Neurooncol 2023; 164:367-376. [PMID: 37656377 PMCID: PMC10522761 DOI: 10.1007/s11060-023-04428-x] [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: 07/18/2023] [Accepted: 08/17/2023] [Indexed: 09/02/2023]
Abstract
PURPOSE Leptomeningeal carcinomatosis (LC) is a rare complication of non-small cell lung cancer (NSCLC) with highly mortality. Cerebrospinal fluid (CSF) as a special kind of tumor microenvironment (TME) better represents alterations than plasma. However, the clinical value of protein profiles of exosome in CSF as liquid biopsy remains unclear. METHODS In this study, CSF samples of NSCLC patients with (LC group) or without (NSCLC group) LC were collected and compared to patients without tumors (normal group). CSF exosomes were isolated by ultracentrifugation and protein profiles were performed by label-free proteomics. Differentially expressed proteins (DEPs) were detected by bioinformatics tools and verified by parallel reaction monitoring (PRM). RESULTS A total of 814 proteins were detected. Bioinformatics analysis revealed their shared function in the complement activation, extracellular region, and complement and coagulation cascades. Between LC and NSCLC group, 72 DEPs were found among which FN1 demonstrated the highest betweenness centrality (BC) after protein-protein interaction network analysis. CONCLUSION We investigated the application of label free and PRM based proteomics to detect key proteins related to LC. FN1 may serve as potential indicator to classify LC and NSCLC. Extracellular matrix (ECM) and epithelial-mesenchymal transition (EMT) are important in the process of LC. These data is promising for early prediction and diagnosis of LC.
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Affiliation(s)
- Lan Hou
- Department of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, 050000, China
- Department of Neurology, Baoding No.1 Central Hospital, Baoding, China
| | - Xin Chen
- Department of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, 050000, China
| | - Gang Qiu
- Secondary Department of Oncology, Hebei General Hospital, Shijiazhuang, China
| | - Xuejiao Qi
- Department of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, 050000, China
| | - Yueli Zou
- Department of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, 050000, China
| | - Junying He
- Department of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, 050000, China
| | - Hui Bu
- Department of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, 050000, China.
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Souza VGP, Forder A, Brockley LJ, Pewarchuk ME, Telkar N, de Araújo RP, Trejo J, Benard K, Seneda AL, Minutentag IW, Erkan M, Stewart GL, Hasimoto EN, Garnis C, Lam WL, Martinez VD, Reis PP. Liquid Biopsy in Lung Cancer: Biomarkers for the Management of Recurrence and Metastasis. Int J Mol Sci 2023; 24:ijms24108894. [PMID: 37240238 DOI: 10.3390/ijms24108894] [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: 05/01/2023] [Revised: 05/11/2023] [Accepted: 05/16/2023] [Indexed: 05/28/2023] Open
Abstract
Liquid biopsies have emerged as a promising tool for the detection of metastases as well as local and regional recurrence in lung cancer. Liquid biopsy tests involve analyzing a patient's blood, urine, or other body fluids for the detection of biomarkers, including circulating tumor cells or tumor-derived DNA/RNA that have been shed into the bloodstream. Studies have shown that liquid biopsies can detect lung cancer metastases with high accuracy and sensitivity, even before they are visible on imaging scans. Such tests are valuable for early intervention and personalized treatment, aiming to improve patient outcomes. Liquid biopsies are also minimally invasive compared to traditional tissue biopsies, which require the removal of a sample of the tumor for further analysis. This makes liquid biopsies a more convenient and less risky option for patients, particularly those who are not good candidates for invasive procedures due to other medical conditions. While liquid biopsies for lung cancer metastases and relapse are still being developed and validated, they hold great promise for improving the detection and treatment of this deadly disease. Herein, we summarize available and novel approaches to liquid biopsy tests for lung cancer metastases and recurrence detection and describe their applications in clinical practice.
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Affiliation(s)
- Vanessa G P Souza
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
- Molecular Oncology Laboratory, Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu, SP 18618-687, Brazil
| | - Aisling Forder
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | - Liam J Brockley
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | | | - Nikita Telkar
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
- British Columbia Children's Hospital Research Institute, Vancouver, BC V5Z 4H4, Canada
| | - Rachel Paes de Araújo
- Molecular Oncology Laboratory, Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu, SP 18618-687, Brazil
| | - Jessica Trejo
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | - Katya Benard
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | - Ana Laura Seneda
- Molecular Oncology Laboratory, Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu, SP 18618-687, Brazil
| | - Iael W Minutentag
- Molecular Oncology Laboratory, Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu, SP 18618-687, Brazil
| | - Melis Erkan
- Department of Pathology and Laboratory Medicine, IWK Health Centre, Halifax, NS B3K 6R8, Canada
- Department of Pathology, Faculty of Medicine, Dalhousie University, Halifax, NS B3K 6R8, Canada
- Beatrice Hunter Cancer Research Institute, Halifax, NS B3H 4R2, Canada
| | - Greg L Stewart
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | - Erica N Hasimoto
- Department of Surgery and Orthopedics, Faculty of Medicine, São Paulo State University (UNESP), Botucatu, SP 18618-687, Brazil
| | - Cathie Garnis
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
- Division of Otolaryngology, Department of Surgery, University of British Columbia, Vancouver, BC V5Z 1M9, Canada
| | - Wan L Lam
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | - Victor D Martinez
- Department of Pathology and Laboratory Medicine, IWK Health Centre, Halifax, NS B3K 6R8, Canada
- Department of Pathology, Faculty of Medicine, Dalhousie University, Halifax, NS B3K 6R8, Canada
- Beatrice Hunter Cancer Research Institute, Halifax, NS B3H 4R2, Canada
| | - Patricia P Reis
- Molecular Oncology Laboratory, Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu, SP 18618-687, Brazil
- Department of Surgery and Orthopedics, Faculty of Medicine, São Paulo State University (UNESP), Botucatu, SP 18618-687, Brazil
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Pilotto Heming C, Niemeyer Filho P, Moura-Neto V, Aran V. Recent advances in the use of liquid biopsy to fight central nervous system tumors. Cancer Treat Res Commun 2023; 35:100709. [PMID: 37088042 DOI: 10.1016/j.ctarc.2023.100709] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 04/10/2023] [Accepted: 04/11/2023] [Indexed: 04/25/2023]
Abstract
Brain tumors are considered one of the deadliest types of cancer, being challenging to treat, especially due to the blood-brain barrier, which has been linked to treatment resistance. The genomic classification of brain tumors has been helping in the diagnostic precision, however tumor heterogeneity in addition to the difficulties to obtain tissue biopsies, represent a challenge. The biopsies are usually obtained either via neurosurgical removal or stereotactic tissue biopsy, which can be risky procedures for the patient. To overcome these challenges, liquid biopsy has become an interesting option by constituting a safer procedure than conventional biopsy, which may offer valuable cellular and molecular information representative of the whole organism. Besides, it is relatively easy to obtain such as in the case of blood (venipuncture) and urine sample collection. In the present comprehensive review, we discuss the newest information regarding liquid biopsy in the brain tumors' field, methods employed, the different sources of bio-fluids and their potential circulating targets.
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Affiliation(s)
- Carlos Pilotto Heming
- Instituto Estadual do Cérebro Paulo Niemeyer (IECPN), R. do Rezende, 156 - Centro, Rio de Janeiro, 20231-092, Brazil
| | - Paulo Niemeyer Filho
- Instituto Estadual do Cérebro Paulo Niemeyer (IECPN), R. do Rezende, 156 - Centro, Rio de Janeiro, 20231-092, Brazil
| | - Vivaldo Moura-Neto
- Instituto Estadual do Cérebro Paulo Niemeyer (IECPN), R. do Rezende, 156 - Centro, Rio de Janeiro, 20231-092, Brazil
| | - Veronica Aran
- Instituto Estadual do Cérebro Paulo Niemeyer (IECPN), R. do Rezende, 156 - Centro, Rio de Janeiro, 20231-092, Brazil.
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