scholarly journals Neuroinflammation in Autoimmune Disease and Primary Brain Tumors: The Quest for Striking the Right Balance

2021 ◽  
Vol 15 ◽  
Author(s):  
Dana Mitchell ◽  
Jack Shireman ◽  
Elizabeth A. Sierra Potchanant ◽  
Montserrat Lara-Velazquez ◽  
Mahua Dey

According to classical dogma, the central nervous system (CNS) is defined as an immune privileged space. The basis of this theory was rooted in an incomplete understanding of the CNS microenvironment, however, recent advances such as the identification of resident dendritic cells (DC) in the brain and the presence of CNS lymphatics have deepened our understanding of the neuro-immune axis and revolutionized the field of neuroimmunology. It is now understood that many pathological conditions induce an immune response in the CNS, and that in many ways, the CNS is an immunologically distinct organ. Hyperactivity of neuro-immune axis can lead to primary neuroinflammatory diseases such as multiple sclerosis and antibody-mediated encephalitis, whereas immunosuppressive mechanisms promote the development and survival of primary brain tumors. On the therapeutic front, attempts are being made to target CNS pathologies using various forms of immunotherapy. One of the most actively investigated areas of CNS immunotherapy is for the treatment of glioblastoma (GBM), the most common primary brain tumor in adults. In this review, we provide an up to date overview of the neuro-immune axis in steady state and discuss the mechanisms underlying neuroinflammation in autoimmune neuroinflammatory disease as well as in the development and progression of brain tumors. In addition, we detail the current understanding of the interactions that characterize the primary brain tumor microenvironment and the implications of the neuro-immune axis on the development of successful therapeutic strategies for the treatment of CNS malignancies.

Author(s):  
I. Lax ◽  
M. Daniels ◽  
C. Kanter ◽  
W. Mason ◽  
K. Edelstein

Individuals with primary brain tumors experience a range of physical, cognitive and psychosocial sequelae which impact their independence, safety and quality of life. These impairments may be addressed through rehabilitation intervention. Despite acknowledgement that timely rehabilitation services over the course of the disease process is of benefit, few outpatient neuro-oncology treatment teams include a rehabilitation professional. Purpose: The aims are: (1) to describe a rehabilitation consultation model of care integrated into outpatient neuro-oncology treatment for individuals with primary brain tumors; and (2) to describe the characteristics of individuals referred for rehabilitation services. Methods: This retrospective descriptive study examined data from 200 individuals that received rehabilitation consultation from January 2015 to March 2016 at Princess Margaret Hospital, Pencer Brain Tumor Centre. Information on patient demographics, referral characteristics, and number of patient care visits was collected. Descriptive statistics were calculated. Preliminary Results: Of all patients, (n=195), the most common diagnosis is glioblastoma, 39% (n=76), and 50% are 50-69 years of age (M=55, SD=15.0). The most common reason for initial referral was decline in physical functioning, strength and balance (41%). In 77% of cases, patients were seen immediately at the time of referral. In total, 540 consultations were completed (face-to-face=230, telephone=310) with 2.78 on average (SD=4.0) per patient. Conclusion: Given the range of symptoms that individuals with primary brain tumors experience coupled with changes in functional status as the disease progresses, integrated and timely rehabilitation consultation is feasible.


2019 ◽  
Vol 1 (Supplement_2) ◽  
pp. ii43-ii43
Author(s):  
Tatsuya Kishi ◽  
Naoya Sakurada ◽  
Mayumi Horikawa ◽  
Haruaki Ohkubo ◽  
Kazumi Ishii ◽  
...  

Abstract BACKGROUND Patients with primary brain tumors find it difficult to make decisions during the advanced disease stage and experience decreased consciousness. It is important for patients to receive supported decision-making early. Medical staff should know what to do and when to do it,but there are no clear guidelines. Therefore,we reviewed the literature for supported decision-making for primary brain tumor patients,particularly to provide information for understanding trends reported in previous research. METHOD On January 1,2019,we conducted a search using keywords,such as “brain tumor”and “decision-making,” via PubMed and “Igakuchuo-zashi” in Japan. We extracted literature about treatment decision support and end-of-life care for patients with primary brain tumors. Furthermore,we studied and chose the documents for information provision. RESULT Upon observing 7 studies,we found: 1) about 50% of the patients want more prognostic information; 2) patients with brain tumor tend to be anxious,but they want more information to develop a good understanding of the disease and to lower their anxiety; 3) about half of the brain tumor patients in end-of-life care are unable to make decisions sooner owing to impaired consciousness,and hence are unable to share treatment preferences with their doctors; 4) when medical professionals provide information,such as adding video tools about end-of-life care to oral explanations,it facilitates supported decision-making; and 5) when the caregiver intends to notify patients,the family feels conflicted. DISCUSSION The results suggested that if the timing of the end-of-life conversation is late,it becomes difficult for the patient to make decisions and the burden of decision-making falls on the family. It is necessary to examine effective supported decision-making tools for patients by assessing and comprehending information needs and anxiety levels of primary brain tumor patients.


2016 ◽  
Vol 4 (1) ◽  
pp. 40-45 ◽  
Author(s):  
Jacqueline B. Stone ◽  
Joanne F. Kelvin ◽  
Lisa M. DeAngelis

Abstract Background Fertility preservation (FP) is an infrequently addressed issue for young adults with primary brain tumors. Given the improved prognosis and enhanced technology in reproductive medicine, more primary brain tumor patients see procreation as feasible, making the discussion of FP increasingly important. The goals of this study were to describe patients who received FP counseling by a fertility nurse specialist (FNS) and determine which sociodemographic and disease-related factors predict acceptance of referral to a reproductive specialist. Methods Institutional review board-approved retrospective review of primary brain tumor patients, ages 18 to 45, who were referred for FP counseling with a FNS from 2009 to 2013. Results Seventy patients were referred for FP counseling: 38 men, 32 women, with a median age of 32 years and median KPS of 90. Eighty-nine percent had gliomas; 58% grade III, 17% grade IV. Sixty-seven percent were referred for counseling at initial diagnosis. Of those referred, 73% accepted referral to a sperm bank (87% of men) or reproductive endocrinologist (56% of women). Patients were more likely to accept referral if they had no prior children (P = .048). There was no statistically significant difference in referral acceptance by age, race/ethnicity, marital status, religion, or tumor grade. After treatment, 3 men conceived naturally, 2 men conceived using banked sperm, and 2 women conceived naturally. Conclusions Despite the historically poor prognosis of patients with primary brain tumors, there is significant interest in FP among these patients, particularly if they have no prior children. Clinicians should develop strategies to incorporate FP counseling into practice.


1994 ◽  
Vol 22 (1) ◽  
pp. 55-65 ◽  
Author(s):  
Mark G. Malkin ◽  
Sylvan B. Green ◽  
David P. Byar ◽  
Thomas A. Strike ◽  
Peter C. Burger ◽  
...  

2021 ◽  
Author(s):  
◽  
Michael Schulz

Despite constant progress in basic and translational research, cancer is still one of the leading cause of death. In particular, tumors of the central nervous system (CNS) are usually associated with dismal prognosis. Although about 100 distinct subtypes of primary CNS tumors have been classified molecularly, metastases derived from primaries outside the CNS (= brain metastases, BrM) are more frequently observed across brain tumor patients. It is estimated that approximately 20 - 40 % of all cancer patients will develop BrM during their course of disease, and basically every tumor type is able to metastasize to the brain. Nevertheless, BrM are most frequently derived from primaries of the lung, breast, and skin (melanoma). Treatment options for patients with BrM are very limited, and standard of care therapies include surgery, ionizing radiation (e.g. whole brain radio-therapy, WBRT), and some systemic and immuno-therapeutic approaches. The brain represents a unique organ, which in part is due to the presence of the blood-brain barrier, a unit of the neuro-vascular interface ensuring tightly regulated exchange of nutrients, molecules, and cells. Furthermore, apart from microglia the brain parenchyma does not harbor other immune cells. Those cells however can be found at the borders of the CNS residing in the meninges, for instance. Based on recent insight on the immune landscape in the CNS, a paradigm shift occurred after which the brain is no longer regarded as immune-privileged but rather immune distinct. The phenomenon of immune cell infiltration has been described before in the context of neurological disorders including Multiple Sclerosis, as well as in brain tumors. Since the development of immune-therapeutic approaches for tumors outside the CNS that aim to evoke sustainable anti-tumor effects, it became increasingly interesting to understand and harness the immune landscape (= tumor microenvironment, TME) of brain tumors, as well. Interestingly, most of the knowledge about the TME is based on studies of primary brain tumors. However, it is known that BrM compared to primary brain tumors induce a different TME like e.g. the recruitment of much more lymphocytes, which is one of the reasons primary brain tumors are considered immunologically “cold” and poorly respond to immuno-therapies. Previous insight into the functional contribution of tumor-associated cells in BrM progression revealed for example that brain-resident cell types (e.g. astrocytes or microglia) promote BrM development and outgrowth. However, until recently a comprehensive view on the cellular composition and functional role of the brain metastases-associated TME was missing and little was known how it changes during tumor progression or standard therapy. Hence, within this thesis it was sought to describe novel aspects of the TME of preclinical BrM models, which include two xenograft and one syngeneic mouse model. BrM was induced via intra-cardiac injection of tumor cells with a high brain tropism. Both xenograft models were based on immuno-compromised nude mice (Balb/c nude) and included the melanoma-to-brain (M2B) model H1_DL2, and the lung-to-brain (L2B) model H2030. In addition the breast-to-brain model 99LN-BrM was used in wild-type mice (BL6), and therefore represented an immuno-competent, syngeneic model. First BrMs could be detected in the xenograft models at 3 weeks after injection, whereas first 99LN BrMs were detected at 5 weeks. BrM development and progression were monitored by bioluminescence imaging once per week in the xenograft models. Tumor progression in the 99LN model was examined by magnetic resonance imaging. Based on the measurement methods, and for further histologic and cytometric experiments, mice were stratified into groups with small or large BrMs, respectively. Some initial immuno-stainings confirmed previous findings, showing that brain-resident cells like astrocytes and microglia become activated in the presence of tumor cells, whereas neurons for example rather give the impression of passive bystanders. Importantly, an accumulation of IBA1+ cells was observed during BrM progression. IBA1 is a pan-macrophage marker that stains all tumor-associated macrophages (TAMs). However previous work suggested that the TAM population consists of at least two main subpopulations in BrM as well: the resident-infiltrating microglia (MG, TAM-MG), as well as the peripheral and monocytic-derived macrophages (TAM-MDM). Since both cell types within the tumor share morphological traits, and due to the lack of markers to distinguish them, an exact discrimination of both cell types was complicated in the past. Recently, an integrative lineage-tracing-based study identified the integrin CD49d as MDM-specific in the context of brain tumor-associated myeloid cells, hence enabling a reliable dissection of both TAM populations in e.g. flow cytometric experiments. One of the main aims of this thesis was to dissect the myeloid TME in the three different BrM models during tumor progression. Using a 5-marker flow cytometry (FCM) (CD45/CD11b/Ly6C/Ly6G/CD49d) approach, the following cell populations were examined in more detail: granulocytes, inflammatory monocytes, MDM, and MG. ...


NANO ◽  
2014 ◽  
Vol 09 (01) ◽  
pp. 1430001 ◽  
Author(s):  
RUICHAO LIANG ◽  
FANG FANG

Malignant primary brain tumors have a very high morbidity and mortality. Even though enormous advances have been made in primary brain tumor management, in the case of malignant primary brain tumors, current diagnostic strategies cannot identify exact infiltrating margins, surgery alone cannot achieve total mass resection, and adjuvant therapies cannot improve survivals. Therefore, there is an urgent need to explore novel strategies to diagnose and treat such infiltrating brain tumors. Nanomaterials, particularly zero-dimensional and one-dimensional platforms, can carry various compounds such as contrast agents, anticancer drugs and genes into brain tumor cells specifically. Thus, contrast agent-based nanomaterials can selectively present infiltrating tumor outlines, while anticancer agent-based nanomaterials can specifically kill malignant tumor cells. In addition, dual-targeting nanomaterials, multifunctional nanocarriers, theranostic nanovehicles as well as convection-enhanced delivery technology hold promise to increase drug accumulation in tumor tissues, which could largely improve anticancer efficacy. In this review, we will mainly focus on the application of nanomaterials in preoperative diagnosis, intraoperative diagnosis and adjuvant treatment for malignant primary brain tumors.


Author(s):  
Shoaib Amin Banday ◽  
Mohammad Khalid Pandit

Introduction: Brain tumor is among the major causes of morbidity and mortality rates worldwide. According to National Brain Tumor Foundation (NBTS), the death rate has nearly increased by as much as 300% over last couple of decades. Tumors can be categorized as benign (non-cancerous) and malignant (cancerous). The type of the brain tumor significantly depends on various factors like the site of its occurrence, its shape, the age of the subject etc. On the other hand, Computer Aided Detection (CAD) has been improving significantly in recent times. The concept, design and implementation of these systems ascend from fairly simple ones to computationally intense ones. For efficient and effective diagnosis and treatment plans in brain tumor studies, it is imperative that an abnormality is detected at an early stage as it provides a little more time for medical professionals to respond. The early detection of diseases has predominantly been possible because of medical imaging techniques developed from past many decades like CT, MRI, PET, SPECT, FMRI etc. The detection of brain tumors however, has always been a challenging task because of the complex structure of the brain, diverse tumor sizes and locations in the brain. Method: This paper proposes an algorithm that can detect the brain tumors in the presence of the Radio-Frequency (RF) inhomoginiety. The algorithm utilizes the Mid Sagittal Plane as a landmark point across which the asymmetry between the two brain hemispheres is estimated using various intensity and texture based parameters. Result: The results show the efficacy of the proposed method for the detection of the brain tumors with an acceptable detection rate. Conclusion: In this paper, we have calculated three textural features from the two hemispheres of the brain viz: Contrast (CON), Entropy (ENT) and Homogeneity (HOM) and three parameters viz: Root Mean Square Error (RMSE), Correlation Co-efficient (CC), and Integral of Absolute Difference (IAD) from the intensity distribution profiles of the two brain hemispheres to predict any presence of the pathology. First a Mid Sagittal Plane (MSP) is obtained on the Magnetic Resonance Images that virtually divides brain into two bilaterally symmetric hemispheres. The block wise texture asymmetry is estimated for these hemispheres using the above 6 parameters.


Molecules ◽  
2020 ◽  
Vol 25 (9) ◽  
pp. 2104 ◽  
Author(s):  
Eleonora Ficiarà ◽  
Shoeb Anwar Ansari ◽  
Monica Argenziano ◽  
Luigi Cangemi ◽  
Chiara Monge ◽  
...  

Magnetic Oxygen-Loaded Nanobubbles (MOLNBs), manufactured by adding Superparamagnetic Iron Oxide Nanoparticles (SPIONs) on the surface of polymeric nanobubbles, are investigated as theranostic carriers for delivering oxygen and chemotherapy to brain tumors. Physicochemical and cyto-toxicological properties and in vitro internalization by human brain microvascular endothelial cells as well as the motion of MOLNBs in a static magnetic field were investigated. MOLNBs are safe oxygen-loaded vectors able to overcome the brain membranes and drivable through the Central Nervous System (CNS) to deliver their cargoes to specific sites of interest. In addition, MOLNBs are monitorable either via Magnetic Resonance Imaging (MRI) or Ultrasound (US) sonography. MOLNBs can find application in targeting brain tumors since they can enhance conventional radiotherapy and deliver chemotherapy being driven by ad hoc tailored magnetic fields under MRI and/or US monitoring.


2021 ◽  
Vol 22 (12) ◽  
pp. 6385
Author(s):  
Maya A. Dymova ◽  
Elena V. Kuligina ◽  
Vladimir A. Richter

Glioblastoma multiforme (GBM) is the most common and fatal primary brain tumor, is highly resistant to conventional radiation and chemotherapy, and is not amenable to effective surgical resection. The present review summarizes recent advances in our understanding of the molecular mechanisms of therapeutic resistance of GBM to already known drugs, the molecular characteristics of glioblastoma cells, and the barriers in the brain that underlie drug resistance. We also discuss the progress that has been made in the development of new targeted drugs for glioblastoma, as well as advances in drug delivery across the blood–brain barrier (BBB) and blood–brain tumor barrier (BBTB).


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