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  • 1
    In: Neuro-Oncology, Oxford University Press (OUP), Vol. 22, No. Supplement_2 ( 2020-11-09), p. ii169-ii169
    Abstract: GBM is characterized by intratumoral heterogeneity. Tumor heterogeneity, clonal diversity and mutation acquisition hamper the ability to tailor personalized therapy for GBM. Tumor sampling has limited ability to accurately capture the molecular landscape of the tumor and to disclose acquired molecular aberrations. Mutation analysis of cfDNA is a non-invasive procedure which may overcome these limitations as it may reflect the real composition of the tumor and track the molecular evolution. We sequenced cfDNA of GBM patients and assessed mutation patterns and fusion genes. METHODS We collected blood and respective tumor samples from 27 GBM patients and blood samples from 14 healthy controls. Tumor DNA, cfDNA and WBC DNA were sequenced using deep sequencing procedures. The data were analyzed for detection of single nucleotide polymorphism (SNPs) and gene-gene fusions. RESULTS GBM cfDNA concentrations were significantly elevated (median: 23.63 ng/mL; range 12.6–137) compared to healthy controls (median 2.06; range 1.68–7.62) (p & lt; 0.0001). We identified unique SNPs in each glioma patient’s cfDNA and the corresponding tumor DNA including the top-10 most frequently mutated genes in GBM. For example, mutation of TP53 was detected in18.75%; EGFR in 37.5%; NF1-12.5%; LRP1B-25% and IRS4 in 25%. For gene-gene fusion we used the in-house fusion gene database, ChiTaRS 5.0, and identified fusions in cfDNA and tumor DNA. Thus, KMT2A-FLNA was the most frequent fusion found in 16.4% of samples. BCR-ABL1 in 8.82% and FGFR1-BCR in 2.94%. Other fusions included COL1A1-PDGFB (5.88%), NIN-PDGFRB (5.88%), KIF5B-RET (5.88%) and also TPM3-ROS1(2.94%), TFG-ALK(2.94%), MSN-ALK (2.94%) and NPM1-ALK (2.94%) which may be targeted by brain penetrating drugs that are ROS1 and ALK inhibitors. CONCLUSIONS Our study suggests that plasma cfDNA analysis may help to uncover real time mutational and gene fusion status of GBM by a non-invasive procedure. It may identify drug targets based on personalized gene-gene fusions.
    Type of Medium: Online Resource
    ISSN: 1522-8517 , 1523-5866
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2020
    detail.hit.zdb_id: 2094060-9
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  • 2
    In: Cancer Medicine, Wiley
    Abstract: In order to proliferate indefinitely, all tumors require a telomere maintenance mechanism. The expression of human telomerase reverse transcriptase (hTERT) enables telomere maintenance and provides cancer cells with limitless replicative potential. As such, it may serve as an attractive biomarker for oncogenic activity. This study explored whether a liquid biopsy that analyses blood derived exosomal hTERT transcript (e‐hTERT‐trans) may serve as such a biomarker in gliomas and meningiomas when compared to healthy controls. Methods Exosomes were isolated from the pre‐operative sera of patients' samples stored in the biobank of both Rabin and Sheba Medical Centers. The levels of e‐hTERT‐trans were measured in 81 healthy controls, 117 meningiomas, 17 low‐grade gliomas, and 61 glioblastomas. Clinical parameters of the patients were collected retrospectively and compared to the levels of the e‐hTERT‐trans. Results The upper normal limit of controls e‐hTERT‐trans was 1.85 relative quantitation (RQ). The rate of detection increased with rising tumor grade and correlated with tumor recurrence in meningiomas: mean RQ without recurrence (2.17 ± 11.7) versus with recurrence (3.59 ± 4.42; p = 0.002). In glioblastomas, preoperative measurements correlated with tumor volume and with the disease course on serial sampling. Conclusions We demonstrated for the first time that the expression of e‐hTERT‐trans transcript can be measured in the serum of primary brain tumors. This exosomal marker carries the potential to serve as a biomarker once used in conjunction with other clinical and radiological parameters. Future studies are required to investigate whether the sensitivity could be augmented and whether it can be implemented into routine patients care.
    Type of Medium: Online Resource
    ISSN: 2045-7634 , 2045-7634
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2659751-2
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  • 3
    In: Frontiers in Neurology, Frontiers Media SA, Vol. 15 ( 2024-3-22)
    Abstract: Integrated brain-machine interface signifies a transformative advancement in neurological monitoring and intervention modalities for events such as stroke, the leading cause of disability. Historically, stroke management relied on clinical evaluation and imaging. While today’s stroke landscape integrates artificial intelligence for proactive clinical decision-making, mainly in imaging and stroke detection, it depends on clinical observation for early detection. Cardiovascular monitoring and detection systems, which have become standard throughout healthcare and wellness settings, provide a model for future cerebrovascular monitoring and detection. This commentary reviews the progression of continuous stroke monitoring, spotlighting contemporary innovations and prospective avenues, and emphasizes the influential roles of cutting-edge technologies in shaping stroke care.
    Type of Medium: Online Resource
    ISSN: 1664-2295
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2024
    detail.hit.zdb_id: 2564214-5
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  • 4
    In: Molecular Oncology, Wiley, Vol. 16, No. 10 ( 2022-05), p. 2098-2114
    Abstract: Glioblastoma (GBM) is the most common type of glioma and is uniformly fatal. Currently, tumour heterogeneity and mutation acquisition are major impedances for tailoring personalized therapy. We collected blood and tumour tissue samples from 25 GBM patients and 25 blood samples from healthy controls. Cell‐free DNA (cfDNA) was extracted from the plasma of GBM patients and from healthy controls. Tumour DNA was extracted from fresh tumour samples. Extracted DNA was sequenced using a whole‐genome sequencing procedure. We also collected 180 tumour DNA datasets from GBM patients publicly available at the TCGA/PANCANCER project. These data were analysed for mutations and gene–gene fusions that could be potential druggable targets. We found that plasma cfDNA concentrations in GBM patients were significantly elevated (22.6 ± 5 ng·mL −1 ), as compared to healthy controls (1.4 ± 0.4 ng·mL −1 ) of the same average age. We identified unique mutations in the cfDNA and tumour DNA of each GBM patient, including some of the most frequently mutated genes in GBM according to the COSMIC database ( TP53 , 18.75%; EGFR , 37.5%; NF1 , 12.5%; LRP1B , 25%; IRS4 , 25%). Using our gene–gene fusion database, ChiTaRS 5.0, we identified gene–gene fusions in cfDNA and tumour DNA, such as KDR – PDGFRA and NCDN – PDGFRA , which correspond to previously reported alterations of PDGFRA in GBM (44% of all samples). Interestingly, the PDGFRA protein fusions can be targeted by tyrosine kinase inhibitors such as imatinib, sunitinib, and sorafenib. Moreover, we identified BCR – ABL1 (in 8% of patients), COL1A1 – PDGFB (8%), NIN – PDGFRB (8%), and FGFR1 – BCR (4%) in cfDNA of patients, which can be targeted by analogues of imatinib. ROS1 fusions ( CEP85L – ROS1 and GOPC – ROS1 ), identified in 8% of patient cfDNA, might be targeted by crizotinib, entrectinib, or larotrectinib. Thus, our study suggests that integrated analysis of cfDNA plasma concentration, gene mutations, and gene–gene fusions can serve as a diagnostic modality for distinguishing GBM patients who may benefit from targeted therapy. These results open new avenues for precision medicine in GBM, using noninvasive liquid biopsy diagnostics to assess personalized patient profiles. Moreover, repeated detection of druggable targets over the course of the disease may provide real‐time information on the evolving molecular landscape of the tumour.
    Type of Medium: Online Resource
    ISSN: 1574-7891 , 1878-0261
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2322586-5
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  • 5
    Online Resource
    Online Resource
    Elsevier BV ; 2015
    In:  Journal of Clinical Neuroscience Vol. 22, No. 3 ( 2015-03), p. 535-538
    In: Journal of Clinical Neuroscience, Elsevier BV, Vol. 22, No. 3 ( 2015-03), p. 535-538
    Type of Medium: Online Resource
    ISSN: 0967-5868
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2015
    detail.hit.zdb_id: 2009190-4
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