scholarly journals The tumor microenvironment in preclinical models of brain metastasis with a focus on tumor-associated macrophages and microglia and effects of whole-brain radiotherapy

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. ...

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi98-vi98
Author(s):  
Radim Jancalek ◽  
Martin Smrcka ◽  
Alena Kopkova ◽  
Jiri Sana ◽  
Marek Vecera ◽  
...  

Abstract Cerebrospinal fluid (CSF) baths extracellular environment of the central nervous system, and thus, it is ideal source of tumor diagnostic biomarkers like microRNAs (miRNAs), short non-coding RNAs involved in the pathogenesis of many cancers. As dysregulated levels of brain tumor specific miRNAs have been already observed in CSF, analysis of CSF miRNAs in brain tumor patients might help to develop new diagnostic platform. Next-Generation sequencing (NGS) was performed for analysis of small RNAs in 89 CSF samples taken from 32 glioblastomas (GBM), 14 low-grade gliomas (LGG), 11 meningiomas, 13 brain metastases and 19 non-tumor donors. Subsequently, according to NGS results levels of 10 miRNAs were measured in independent set of CSF samples (41 GBM, 44 meningiomas, 12 brain metastases and 20 non-tumor donors) using TaqMan Advanced miRNA Assays. NGS analysis revealed 22, 12 and 35 CSF miRNAs with significantly different levels in GBM, meningiomas, and brain metastases (adj.p < 0.0005, adj.p < 0.01, and adj.p < 0.005) respectively, in comparison with non-tumor CSF samples. Subsequent validation of selected CSF miRNAs has confirmed different levels of 7 miRNAs in GBM, 2 in meningiomas, and 2 in brain metastases compared to non-tumors. Panel of miR-30e-5p and miR-140-5p was able to distinguish brain metastases with 65% sensitivity and 100% specificity compared to non-tumor samples (AUC = 0.8167); panel of miR-21-3p and miR-196-5p classified metastatic patients with 78% sensitivity and 92 % specificity in comparison to GBM (AUC = 0.90854) and with 75% sensitivity and 83% specificity compared to meningiomas (AUC = 0.84848). We have observed that CSFs from patients with various primary brain tumors and metastases are characterized by specific miRNA signatures. This work was supported by the Ministry of Health, Czech Republic grant nr. NV18-03-00398 and the Ministry of Education, Youth and Sports, Czech Republic under the project CEITEC 2020 (LQ1601).


2016 ◽  
Vol 9 (2) ◽  
pp. 358-362 ◽  
Author(s):  
Anastasie M. Dunn-Pirio ◽  
Santoshi Billakota ◽  
Katherine B. Peters

Seizures are common among patients with brain tumors. Transient, postictal magnetic resonance imaging abnormalities are a long recognized phenomenon. However, these radiographic changes are not as well studied in the brain tumor population. Moreover, reversible neuroimaging abnormalities following seizure activity may be misinterpreted for tumor progression and could consequently result in unnecessary tumor-directed treatment. Here, we describe two cases of patients with brain tumors who developed peri-ictal pseudoprogression and review the relevant literature.


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 ◽  
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):  
S. Marbacher ◽  
E. Klinger ◽  
L. Schwzer ◽  
I. Fischer ◽  
E. Nevzati ◽  
...  

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.


2019 ◽  
Vol 1 (Supplement_1) ◽  
pp. i5-i5
Author(s):  
Sheila Singh ◽  
Blessing Bassey-Archibong ◽  
Nikoo Aghaei ◽  
Agata Kieliszek ◽  
Chitra Venugopal ◽  
...  

Abstract Brain metastases (BM) are the most common brain tumor in adults, with an incidence ten times greater than that of primary brain tumors. The most common sources of BM in adult cancer patients include cancers of the lung, breast and melanoma, which together account for almost 80% of all BM. Current clinical modalities for BM include surgery, whole brain radiation therapy and stereotactic radiosurgery but these therapies still offer limited efficacy and reduced survival of only months in treated patients, emphasizing the need for novel BM research approaches and better therapeutic strategies. Our laboratory recently discovered that stem-like cells exist in patient-derived BM from lung, breast and melanoma cancers, which we termed “brain metastasis-initiating cells” or BMICs. Through clinically relevant human-mouse xenograft models established with these patient-derived BMICs, we captured lung, breast and melanoma BMICs at pre-metastasis – a key stage where circulating metastatic cells extravasate and initially seed the brain, prior to organization into micro-metastatic foci. Transcriptome analysis of pre-metastatic BMICs revealed a unique genetic profile and several genes commonly up-regulated among lung, breast and melanoma BM, including the non-classical human leukocyte class I antigen-G (HLA-G). Loss of HLA-G in lung, breast and melanoma BMICs using two HLA-G specific shRNAs attenuated sphere formation, migratory and tumor initiating abilities of lung, breast and melanoma BMICs compared to control BMICs. HLA-G knockdown also resulted in reduced phospho(p)-STAT3 expression in patient-derived BMICs suggesting a potential cooperative role between HLA-G and pSTAT3 in BM. Since HLA-G is highly expressed at the cell surface in control tumors, ongoing experiments are focused on developing HLA-G specific chimeric antigen receptor -T cells (CAR-Ts) and determining their efficacy in targeting lung-, breast- and melanoma-BM as blocking the brain metastatic process will markedly extend patient survival and ultimately transform a fatal systemic disease into a more treatable one.


2021 ◽  
Vol 11 (10) ◽  
pp. 133-144
Author(s):  
Dipak Chaulagain ◽  
Volodymyr Smolanka ◽  
Andriy Smolanka

People, in general, are affected by a brain or intracranial tumor when abnormal cells started functioning within their brain. This paper explores mainly tumors that affect the brain. Almost every type of brain tumor might create symptoms which are based on the parts of the brain affected. In order to better understand reasons of occurrence intracranial tumors in various sections of the population, the study examined the relationship between sociodemographic variables, i.e., age, gender and marital status and the relative frequency of intracranial tumors as part of a study. Samples are collected based on the information from Uzhhorod Regional Center of Neurosurgery and Neurology in Ukraine. And factors such as age, gender and marital status has been considered to examine tumor size variation. The ratios of organ cancers in Ukrainians are evidently increasing. Besides, there has been growing trend in affected rates in both the genders of CNS cancers have been noticed in all the records. The ratio of most harmful brain tumors is comparatively in minimal ratio in East and Southeast Asia, and India. On the other hand, the highest ratio has been noted in European countries and as well United States, and Ukraine is one of those countries. The major burdens of cancer frequency in Ukraine have been noticed in the lung, breast, and prostate and brain. Of these, brain tumor rate in Ukraine had been hardly studied. The major difference in frequency in Asian and European populations implies the potential influence of genetic or environmental factors in malignant brain tumors. Continuing monitoring of tumor ratio in Ukraine is essential to comprehend how best to reduce cancer burden globally and to explain the causes of provincial variations, for example access to diagnosis methods and ecological exposures. Key words: Intracranial tumors, symptoms, tumor incidence in Ukraine, treatment plans, survival rate of cancer in Ukraine.


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