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1.
Asynchronous pineoblastoma is more likely after early diagnosis of retinoblastoma: a meta-analysis.
de Jong, MC, Shaikh, F, Gallie, B, Kors, WA, Jansen, RW, Dommering, C, de Graaf, P, Moll, AC, Dimaras, H, Shroff, M, et al
Acta ophthalmologica. 2022;(1):e47-e52
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Abstract
PURPOSE To determine the risk of patients with an early diagnosis of heritable retinoblastoma being diagnosed with TRb (or pineoblastoma) asynchronously in a later stage and its effect on screening. METHODS We updated the search (PubMed and Embase) for published literature as performed by our research group in 2014 and 2019. Trilateral retinoblastoma (TRb) patients were eligible for inclusion if identifiable as unique and the age at which TRb was diagnosed was available. The search yielded 97 new studies. Three new studies and eight new patients were included. Combined with 189 patients from the previous meta-analysis, the database included 197 patients. The main outcome was the percentage of asynchronous TRb in patients diagnosed before and after preset age thresholds of 6 and 12 months of age at retinoblastoma diagnosis. RESULTS Seventy-nine per cent of patients with pineoblastoma are diagnosed with retinoblastoma before the age of 12 months. However, baseline MRI screening at time of retinoblastoma diagnosis fails to detect the later diagnosed pineal TRb in 89% of patients. We modelled that an additional MRI performed at the age of 29 months picks up 53% of pineoblastomas in an asymptomatic phase. The detection rate increased to 72%, 87% and 92%, respectively, with 2, 3 and 4 additional MRIs. CONCLUSIONS An MRI of the brain in heritable retinoblastoma before the age of 12 months misses most pineoblastomas, while retinoblastomas are diagnosed most often before the age of 12 months. Optimally timed additional MRI scans of the brain can increase the asymptomatic detection rate of pineoblastoma.
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Pediatric Brain Tumors: Descriptive Epidemiology, Risk Factors, and Future Directions.
Adel Fahmideh, M, Scheurer, ME
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology. 2021;(5):813-821
Abstract
Brain tumors are the most common solid tumors in children and remain a significant contributor to death by disease in this population. Pediatric brain tumors (PBT) are broadly classified into two major categories: glial and neuronal tumors. Various factors, including tumor histology, tumor location, and demographics, influence the incidence and prognosis of this heterogeneous group of neoplasms. Numerous epidemiologic studies have been conducted to identify genetic and environmental risk factors for these malignancies. Thus far, the only established risk factors for PBTs are exposure to ionizing radiation and some rare genetic syndromes. However, relatively consistent evidence of positive associations for birth defects, markers of fetal growth, advanced parental age, maternal dietary N-nitroso compounds, and exposure to pesticides have been reported. The genetic variants associated with susceptibility to PBTs were predominantly identified by a candidate-gene approach. The identified genetic variants belong to four main pathways, including xenobiotic detoxification, inflammation, DNA repair, and cell-cycle regulation. Conducting large and multi-institutional studies is warranted to systematically detect genetic and environmental risk factors for different histologic subtypes of PBTs. This, in turn, might lead to a better understanding of etiology of PBTs and eventually developing risk prediction models to prevent these clinically significate malignancies.
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Current Landscape and Future Prospects of Radiation Sensitizers for Malignant Brain Tumors: A Systematic Review.
Beg, U, Snyder, BM, Madhani, SI, Hamidi, N, Padmanaban, V, Tuanquin, LC, Kruser, TJ, Connor, J, Mansouri, A
World neurosurgery. 2021;:e839-e856
Abstract
BACKGROUND Radiation therapy (RT) is the cornerstone of management of malignant brain tumors, but its efficacy is limited in hypoxic tumors. Although numerous radiosensitizer compounds have been developed to enhance the effect of RT, progress has been stagnant. Through this systematic review, we provide an overview of radiosensitizers developed for malignant brain tumors, summarize their safety and efficacy, and evaluate areas for possible improvement. METHODS Following PRISMA guidelines, PubMed, EMBASE, Cochrane, and Web of Science were searched using terminology pertaining to radiosensitizers for brain tumor RT. Articles reporting clinical evidence of nonantineoplastic radiosensitizers with RT for malignant central nervous system tumors were included. Data of interest were presumed mechanism of action, median overall survival (OS), progression-free survival (PFS), and adverse events. RESULTS Twenty-two unique radiosensitizers were identified. Only 2/22 agents (fluosol with oxygen, and efaproxiral) showed improvement in OS in patients with glioblastoma and brain metastasis, respectively. A larger study was not able to confirm the latter. Improved PFS was reported with use of metronidazole, sodium glycididazole, and chloroquine. There was a wide range of toxicities, which prompted change of schedule or complete discontinuation of 9 agents. CONCLUSIONS Progress in radiosensitizers for malignant CNS tumors has been limited. Only 2 radiosensitizers have shown limited improvement in survival. Alternative strategies such as synthetic drug design, based on a mechanism of action that is independent of crossing the blood-brain barrier, may be necessary. Use of drug development strategies using new technologies to overcome past challenges is necessary.
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Dynamic Glucose-Enhanced MR Imaging.
Paech, D, Radbruch, A
Magnetic resonance imaging clinics of North America. 2021;(1):77-81
Abstract
Conventional medical imaging techniques use contrast agents that are chemically labeled, for example, iodine in the case of computed tomography, radioisotopes in the case of PET, or gadolinium in the case of MR imaging to create or enhance signal contrast and to visualize tissue compartments and features. Dynamic glucose-enhanced MR imaging represents a novel technique that uses natural, unlabeled d-glucose as a nontoxic biodegradable contrast agent in chemical exchange-sensitive MR imaging approaches.
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Polyphenolic Compounds of Crataegus Berry, Leaf, and Flower Extracts Affect Viability and Invasive Potential of Human Glioblastoma Cells.
Żurek, N, Karatsai, O, Rędowicz, MJ, Kapusta, IT
Molecules (Basel, Switzerland). 2021;(9)
Abstract
Crataegus contains numerous health-promoting compounds that are also proposed to have anti-cancer properties. Herein, we aimed at a contemporaneous evaluation of the effects of polyphenol-rich extracts of berries, leaves, and flowers of six Crataegus species on the viability and invasive potential on the highly aggressive human glioblastoma U87MG cell line. The treatment with the extracts evoked cytotoxic effects, with the strongest in the berry extracts. All extracts not only promoted the apoptosis-related cleavage of poly (ADP-ribose) polymerase 1 (PARP1) but also substantially inhibited the activity of pro-survival kinases, focal adhesion kinase (FAK), and protein kinase B (PKB; also known as Akt), thus indicating the suppression of proliferative and invasive potentials of the examined glioblastoma cells. The qualitative and quantitative characterization of the extracts' content was also performed and revealed that amongst 37 polyphenolic compounds identified in the examined Crataegus extracts, the majority (29) was detected in berries; the leaf and flower extracts, exerting milder cytotoxic effects, contained only 14 and 13 compounds, respectively. The highest polyphenol content was found in the berries of C. laevigata x rhipidophylla x monogyna, in which flavan-3-ols and phenolic acids predominated. Our results demonstrated that a high content of polyphenolic compounds correlated with the extract cytotoxicity, and especially berries were a valuable source of compounds with anti-cancer potential. This might be a promising option for the development of an effective therapeutic strategy against highly malignant glioblastomas in the future.
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Anticancer Mechanism of Curcumin on Human Glioblastoma.
Wong, SC, Kamarudin, MNA, Naidu, R
Nutrients. 2021;(3)
Abstract
Glioblastoma (GBM) is the most malignant brain tumor and accounts for most adult brain tumors. Current available treatment options for GBM are multimodal, which include surgical resection, radiation, and chemotherapy. Despite the significant advances in diagnostic and therapeutic approaches, GBM remains largely resistant to treatment, with a poor median survival rate between 12 and 18 months. With increasing drug resistance, the introduction of phytochemicals into current GBM treatment has become a potential strategy to combat GBM. Phytochemicals possess multifarious bioactivities with multitarget sites and comparatively marginal toxicity. Among them, curcumin is the most studied compound described as a potential anticancer agent due to its multi-targeted signaling/molecular pathways properties. Curcumin possesses the ability to modulate the core pathways involved in GBM cell proliferation, apoptosis, cell cycle arrest, autophagy, paraptosis, oxidative stress, and tumor cell motility. This review discusses curcumin's anticancer mechanism through modulation of Rb, p53, MAPK, P13K/Akt, JAK/STAT, Shh, and NF-κB pathways, which are commonly involved and dysregulated in preclinical and clinical GBM models. In addition, limitation issues such as bioavailability, pharmacokinetics perspectives strategies, and clinical trials were discussed.
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Atorvastatin in combination with radiotherapy and temozolomide for glioblastoma: a prospective phase II study.
Altwairgi, AK, Alghareeb, WA, AlNajjar, FH, Alhussain, H, Alsaeed, E, Balbaid, AAO, Aldanan, S, Orz, Y, Alsharm, AA
Investigational new drugs. 2021;(1):226-231
Abstract
Glioblastoma is a fast-growing primary brain tumor observed in adults with the worst prognosis. Preclinical studies have demonstrated the encouraging anticancer activity of statins. This study evaluated the efficacy of atorvastatin in combination with standard therapy in patients with glioblastoma. In this prospective, open-label, single-arm, phase II study, patients were treated with atorvastatin in combination with the standard glioblastoma therapy comprising radiotherapy and temozolomide. The primary endpoint was progression-free survival (PFS) at 6 months (PFS-6). Among 36 patients enrolled from January 2014 to January 2017, the median age was 52 (20-69) years; 22% of the patients were aged ≥60 years, and 62% were male. Patients received atorvastatin for a median duration of 6.2 (0.3-28) months. At a median follow-up of 19 months, the PFS-6 rate was 66%, with a median PFS of 7.6 (5.7-9.4) months. In terms of Grade ≥ 3 hematological adverse events, thrombocytopenia and neutropenia occurred in 7% and 12% of patients, respectively. In multivariate analyses, high baseline low-density lipoprotein levels were associated with worse survival (P = 0.046). Atorvastatin was not shown to improve PFS-6. However, this study identified that high low-density lipoprotein levels are an independent predictor of poor cancer-related outcomes. Future clinical trials testing statins should aim to enroll patients with slow-growing tumors.Clinical trial information: NCT0202957 (December 12, 2013).
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Deep learning features from diffusion tensor imaging improve glioma stratification and identify risk groups with distinct molecular pathway activities.
Yan, J, Zhao, Y, Chen, Y, Wang, W, Duan, W, Wang, L, Zhang, S, Ding, T, Liu, L, Sun, Q, et al
EBioMedicine. 2021;:103583
Abstract
BACKGROUND To develop and validate a deep learning signature (DLS) from diffusion tensor imaging (DTI) for predicting overall survival in patients with infiltrative gliomas, and to investigate the biological pathways underlying the developed DLS. METHODS The DLS was developed based on a deep learning cohort (n = 688). The key pathways underlying the DLS were identified on a radiogenomics cohort with paired DTI and RNA-seq data (n=78), where the prognostic value of the pathway genes was validated in public databases (TCGA, n = 663; CGGA, n = 657). FINDINGS The DLS was associated with survival (log-rank P < 0.001) and was an independent predictor (P < 0.001). Incorporating the DLS into existing risk system resulted in a deep learning nomogram predicting survival better than either the DLS or the clinicomolecular nomogram alone, with a better calibration and classification accuracy (net reclassification improvement 0.646, P < 0.001). Five kinds of pathways (synaptic transmission, calcium signaling, glutamate secretion, axon guidance, and glioma pathways) were significantly correlated with the DLS. Average expression value of pathway genes showed prognostic significance in our radiogenomics cohort and TCGA/CGGA cohorts (log-rank P < 0.05). INTERPRETATION DTI-derived DLS can improve glioma stratification by identifying risk groups with dysregulated biological pathways that contributed to survival outcomes. Therapies inhibiting neuron-to-brain tumor synaptic communication may be more effective in high-risk glioma defined by DTI-derived DLS. FUNDING A full list of funding bodies that contributed to this study can be found in the Acknowledgements section.
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Complementary and Alternative Medicine for the Treatment of Gliomas: Scoping Review of Clinical Studies, Patient Outcomes, and Toxicity Profiles.
Pangal, DJ, Baertsch, H, Kellman, EM, Cardinal, T, Brunswick, A, Rutkowski, M, Strickland, B, Chow, F, Attenello, F, Zada, G
World neurosurgery. 2021;:e682-e692
Abstract
INTRODUCTION Complementary and alternative medicine (CAM) are highly used among those diagnosed with glioma. Further research is warranted, however, as it remains important to clearly delineate CAM practices that are unproven, disproven, or promising for future research and implementation. METHODS A systematic review was conducted to identify all articles that investigated the effect of any CAM therapy on survival of patients with newly diagnosed or recurrent glioma. RESULTS Eighteen papers and 4 abstracts pertaining to the effects of ketogenic diet (4), antioxidants (3), hyperbaric oxygen (4), cannabinoids (2), carbogen and nicotinamide (3), mistletoe extract (2), hypocupremia and penicillamine (1), and overall CAM use (3) on overall and progression-free survival in patients with low- and high-grade glioma were identified (Levels of Evidence I-IV). Ketogenic diets, hyperbaric oxygen therapy, and cannabinoids appear to be safe and well tolerated by patients; preliminary studies demonstrate tumor response and increased progression-free survival and overall survival when combined with standard of care therapies. Antioxidant usage exhibit mixed results perhaps associated with glioma grade with greater effect on low-grade gliomas; vitamin D intake was associated with prolonged survival. Conversely, carbogen breathing and hypocupremia were found to have no effect on the survival of patients with glioma, with associated significant toxicity. Most modalities under the CAM umbrella have not been appropriately studied and require further investigation. CONCLUSIONS Despite widespread use, Level I or II evidence for CAM for the treatment of glioma is lacking, representing future research directions to optimally counsel and treat glioma patients.
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Risk factors for brain metastases from non-small-cell lung cancer: A protocol for observational study.
He, J, Wang, X, Xiao, R, Zuo, W, Zhang, W, Yao, H
Medicine. 2021;(9):e24724
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Abstract
Brain metastasis is a common site of distant metastasis of non-small-cell lung cancer (NSCLC) that greatly reduces the prognosis of patients. In this study, we explored the correlation between different clinical factors and secondary brain metastases in NSCLC in an attempt to identify NSCLC patient populations at high risk of metastasis to the central nervous system.We collected data for 350 NSCLC patients from the medical record system of the First Affiliated Hospital of Nanchang University from June 2015 to June 2019, and these patients had pathologically verified diagnoses. The correlations between age at the time of diagnosis, sex, histological type, calcium concentration, hemoglobin (HB), fibrinogen (Fbg), activated partial thromboplastin time (APTT), alkaline phosphatase (ALP), carcinoembryonic antigen (CEA), CA125, and CA199 levels and brain metastasis were analyzed. Multivariate logistic regression analysis was used to identify risk factors for NSCLC brain metastasis. A receiver operating characteristic (ROC) curve was used to calculate the cutoff, sensitivity, and specificity of the independent related factors.Of the 350 patients, 57 were diagnosed with brain metastases. Univariate and multivariate logistic regression analysis indicated that lesion diameter, calcium concentration, and CEA level were independent risk factors correlated with brain metastasis (P < .05). There were no significant differences in age, sex, type of histopathology, presence or absence of mediastinal lymph node metastasis, HB, Fbg, APTT, ALP, cancer antigen 125 (CA-125), or cancer antigen 199 (CA-199) levels between patients with brain metastases and patients without brain metastases (P > .05, respectively). ROC curves demonstrated that these factors had comparable accuracy in predicting brain metastasis (area under the curve [AUCs] were 0.620, 0.661, and 0.729, respectively). The cutoff values for lesion diameter, calcium, and CEA were 5.050 cm, 2.295 mmol/L, and 11.160 ng/mL, respectively. The sensitivities for prediction brain metastasis were 59.6%, 64.9%, and 73.3%, with specificities of 63.1%, 59.2%, and 70.3%, respectively.According to our study, lesion diameter, calcium concentration, and CEA level are independent risk factors for brain metastases in NSCLC patients. Thus, we can strengthen the regular follow-up of NSCLC patients with tumor diameter > 5.050 cm, calcium > 2.295 mmol/L, CEA > 11.160 ng/mL, and use these factors as a reference for preventive treatments.