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  • 1
    In: Tumor Biology, Springer Science and Business Media LLC, Vol. 37, No. 6 ( 2016-6), p. 7719-7727
    Type of Medium: Online Resource
    ISSN: 1010-4283 , 1423-0380
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2016
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  • 2
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 79, No. 13_Supplement ( 2019-07-01), p. 3575-3575
    Abstract: Introduction: Glioblastoma multiforme (GBM) is the most frequent primary brain malignancy of astrocytic origin. The prognosis remains very poor with the median overall survival (OS) being between 12 and 16 months from diagnosis despite early use of conventional medical therapy. Identifying new therapeutic targets, as well as prognostic and predictive biomarkers for accurate stratification of patients is therefore of utmost importance. Long non-coding RNAs (lncRNAs) are regulators of gene expression having critical impact on both physiological processes and the molecular pathology of GBM, indicating their potential as biomarkers and therapeutic targets. Material and Methods: Our study included 219 GBM patients and 29 patients with non-dominant anterior temporal cortexes resected during surgery for intractable epilepsy. Informed consent approved by the local Ethical Commission was obtained from each patient. RNA (RIN & gt; 8) from 77 specimens was used for next-generation RNA sequencing (RNAseq). rRNA depletion and cDNA library preparation were done with RiboCop rRNA Depletion Kit V1.2 (Lexogen) and NEBNext Ultra II Directional RNA Library Prep Kit for Illumina (NEB), respectively. RNAseq was performed using NextSeq 500 High Output Kit and NextSeq 500 instrument (both Illumina). 8,414 lncRNAs and their sequential variants with non-zero RPKM at least in one sample were statistically evaluated. The alignment and target counts were performed with CLC genomic workbench. Selected significantly dysregulated lncRNAs between GBM and non-tumor controls were analyzed in a larger cohort of 188 specimens by qRT-PCR and the expression data normalized to PPIA was then evaluated by Mann-Whitney U test. Results: Statistical analysis revealed 538 (P & lt; 0.001) dysregulated lncRNAs in GBMs compared to non-tumor brain tissue samples. The expression of top 10 downregulated lncRNAs (SNAI3-AS1, LINC00882, RFPL1S, MIR137HG, TTLL7-IT1, PWAR6, LINC00634, LINC00632, DGCR5, LINC00982; logFC ≤ -2; P & lt; 0.001) and 1 upregulated lncRNA (BTN2A3P; logFC ≥ 2; P & lt; 0.001) in GBM and non-tumor controls was successfully validated by qRT-PCR (P & lt; 0.0001). Moreover, the statistical analysis revealed 22 lncRNAs significantly dysregulated between patients with OS less than 12 months and those with OS equal or more than 12 months (P & lt; 0.01). Conclusion: We observed significant dysregulation of lncRNAs in GBM tissues compared to non-tumor controls based on the results of both RNASeq and qRT-PCR. We also found 22 lncRNAs to be dysregulated in relation to overall survival. Our study indicates that lncRNAs could serve as promising diagnostic and prognostic biomarkers in GBM. This work was supported by Ministry of Health of the Czech Republic grant nr. NV18-03-00398, grant of Czech Grant Agency nr. 17-17636S, and by the Ministry of Education, Youth and Sports of the Czech Republic under the project CEITEC 2020 (LQ1601). Citation Format: Marek Vecera, Jan Oppelt, Lenka Radova, Radim Lipina, Stefan Reguli, Martin Smrcka, Radim Jancalek, Michal Filip, Marketa Hermanova, Leos Kren, Jiri Sana, Alena Kopkova, Julia Kovacova, Ondrej Slaby. Dysregulated expression of lncRNAs in glioblastoma multiforme and their association with overall survival [abstract] . In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3575.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
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  • 3
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 78, No. 13_Supplement ( 2018-07-01), p. 2459-2459
    Abstract: Introduction: Glioblastoma (GBM) is the most frequent primary brain tumor of astrocytic origin. The prognosis is unfavourable with the median overall survival (OS) being between 12 and 15 months from diagnosis. Identification of new therapeutic targets, as well as new prognostic and predictive biomarkers for more accurate stratification of patients presents significant unmet medical needs. Long non-coding RNAs (lncRNAs) are regulators of gene expression playing important roles in the molecular pathology of GBM, indicating their potential as biomarkers and therapeutics targets. Material and Methods: Our study included 80 GBM patients treated with Stupp protocol and 16 patients with non-dominant anterior temporal cortexes resected during surgery for intractable epilepsy. Informed consent approved by the local Ethical Commission was obtained from each patient. IDH1 mutations and MGMT methylation status were evaluated in all GBMs. RNA (RIN & gt; 8) from 96 specimens was used for next-generation RNA sequencing (RNAseq). rRNA depletion and cDNA library preparation were performed with RiboCop rRNA Depletion Kit V1.2 (Lexogen) and NEBNext Ultra II Directional RNA Library Prep Kit for Illumina (NEB), respectively. RNAseq was done using NextSeq 500 High Output Kit and NextSeq 500 instrument (both Illumina). 24,087 protein-coding and 8,414 non-coding RNAs and their sequential variants with non-zero RPKM at least in one sample underwent statistical evaluation. CLC genomic workbench was used for the alignment and target counts. Results: Statistical analysis revealed 84 (P & lt; 0.001) dysregulated lncRNAs in GBMs compared to non-tumor brain tissue samples. The results also showed 485 dysregulated protein-coding RNAs with P & lt; 0.001 and 24 protein-coding RNAs with P & lt; 0.000001. 35 lncRNAs showed significant dysregulation when lncRNA profiles of GBM tissues with methylated MGMT promoter (≥ 25% methylation) were compared to those with unmethylated promoter (P & lt; 0.01). When lncRNA patterns of GBM samples with mutated IDH1 were compared to those with wild-type IDH1, 60 lncRNAs were found to be significantly dysregulated (P & lt; 0.001). Correlating lncRNA expression patterns with OS uncovered 6 lncRNA signature which enabled identifying patients with significantly worse prognosis (OS & lt; 6 months). Conclusion: We described significant dysregulation of lncRNAs and protein-coding RNAs in GBM tissue compared to non-tumor brain tissue and specific lncRNA patterns linked to MGMT methylation and IDH1 mutation status. We also identified 6 lncRNA signature allowing sensitive prognostic stratification of GBM patients. Our study indicates that lncRNAs could serve as promising diagnostic and prognostic biomarkers in GBM. This work was supported by Ministry of Health of the Czech Republic, grant nr. 15-33158A, 15-34553A, 15-31627A, 15-34678A, 16-31314A, 16-31765A and by grant of Czech Grant Agency nr. 16-18257S. Citation Format: Marek Vecera, Romana Butova, Radim Lipina, Stefan Reguli, Martin Smrcka, Radim Jancalek, Michal Filip, Marketa Hermanova, Leos Kren, Pavol Mojak, Jaroslav Juracek, Tana Machackova, Natalia A. Gablo, Jiri Sana, Ondrej Slaby. Clinicopathological subgroups of glioblastoma patients are characterized by specific lncRNA expression patterns [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2459.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2018
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  • 4
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 7_Supplement ( 2023-04-04), p. 3765-3765
    Abstract: Introduction: Glioblastoma (GBM) is the most frequent primary astrocytoma characterized by an aggressive and diffuse growth and a poor prognosis. The median survival of patients with GBM is only 12 to 16 months from diagnosis despite conventional therapy. It is, therefore, important to identify new therapeutic targets, which would allow a more effective treatment. In our present study, we focus on long non-coding RNAs (lncRNAs), the regulators of gene expression in both physiological conditions and GBM pathology, and their potential as targets for future therapy. Material and Methods: Our study included 219 GBM patients and 29 intractable epilepsy patients as controls who signed an informed consent prior to treatment. Previously, cDNA libraries were prepared from 77 rRNA-depleted RNA samples and sequenced, and the expression of 11 significantly dysregulated lncRNAs was validated in 188 specimens by RT-qPCR. Results were newly validated in an independent TCGA-GBM cohort. Moreover, LINC00634 expression was upregulated in U251 and T98G cells. Cells transfected with an empty vector served as negative controls (NCs). The effect of upregulated LINC00634 expression on viability, migration, and clonogenicity was studied in vitro, and, in the case of U251-derived cell line, in vivo in immunodeficient mice with the focus on GBM growth and diffuse character. Results: Out of the 538 significantly dysregulated lncRNAs (P & lt; 0.001) identified by transcriptome sequencing, a panel of 10 downregulated lncRNAs (SNAI3-AS1, LINC00882, RFPL1S, MIR137HG, TTLL7-IT1, PWAR6, LINC00634, LINC00632, DGCR5, LINC00982; logFC ≤ -2; P & lt; 0.001) and 1 upregulated lncRNA (BTN2A3P; logFC ≥ 2; P & lt; 0.001) in GBM was validated previously by qPCR in another cohort (P & lt; 0.0001 for all lncRNAs) and newly in an independent TCGA-GBM dataset. The upregulated LINC00634 expression in U251 and T98G cells was confirmed by qPCR to be approximately 11,000-fold and 600-fold, respectively, compared to the expression in NCs. Although no significant effect on viability, migration and clonogenicity was observed in vivo, a less diffuse growth pattern was observed in U251-derived GBMs with upregulated expression of LINC00634 in vivo compared with NCs. Conclusion: A significant dysregulation of lncRNAs was previously observed in GBM compared to non-tumor controls using both transcriptome sequencing and RT-qPCR and was newly confirmed also by analyzing the TCGA-GBM dataset. We also showed possible effect of LINC00634 upregulation on the growth pattern of U251-derived GBM tumors in vivo. Our study shows that lncRNAs are dysregulated in GBM and could, therefore, serve as promising diagnostic biomarkers in GBM as well as potential therapeutic targets. The research was supported by the project National Institute for Cancer Research (Programme EXCELES, ID Project No. LX22NPO5102, funded by the European Union - Next Generation EU). Citation Format: Marek Vecera, Lenka Radova, Radim Lipina, Stefan Reguli, Martin Smrcka, Radim Jancalek, Michal Filip, Marketa Hermanova, Leos Kren, Dagmar Al Tukmachi, Tana Machackova, Petra Pokorna, Jiri Sana, Ondrej Slaby. Long non-coding RNAs are dysregulated in glioblastoma and LINC00634 may affect the diffuse growth of U251-derived tumors in vivo. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3765.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
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  • 5
    In: Cancers, MDPI AG, Vol. 15, No. 9 ( 2023-04-28), p. 2530-
    Abstract: Glioblastoma inevitably recurs, but no standard regimen has been established for treating this recurrent disease. Several reports claim that reoperative surgery can improve survival, but the effects of reoperation timing on survival have rarely been investigated. We, therefore, evaluated the relationship between reoperation timing and survival in recurrent GBM. A consecutive cohort of unselected patients (real-world data) from three neuro-oncology cancer centers was analyzed (a total of 109 patients). All patients underwent initial maximal safe resection followed by treatment according to the Stupp protocol. Those meeting the following criteria during progression were indicated for reoperation and were further analyzed in this study: (1) The tumor volume increased by 〉 20–30% or a tumor was rediscovered after radiological disappearance; (2) The patient’s clinical status was satisfactory (KS ≥ 70% and PS WHO ≤ gr. 2); (3) The tumor was localized without multifocality; (4) The minimum expected tumor volume reduction was above 80%. A univariate Cox regression analysis of postsurgical survival (PSS) revealed a statistically significant effect of reoperation on PSS from a threshold of 16 months after the first surgery. Cox regression models that stratified the Karnofsky score with age adjustment confirmed a statistically significant improvement in PSS for time-to-progression (TTP) thresholds of 22 and 24 months. The patient groups exhibiting the first recurrence at 22 and 24 months had better survival rates than those exhibiting earlier recurrences. For the 22-month group, the HR was 0.5 with a 95% CI of (0.27, 0.96) and a p-value of 0.036. For the 24-month group, the HR was 0.5 with a 95% CI of (0.25, 0.96) and a p-value of 0.039. Patients with the longest survival were also the best candidates for repeated surgery. Later recurrence of glioblastoma was associated with higher survival rates after reoperation.
    Type of Medium: Online Resource
    ISSN: 2072-6694
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
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  • 6
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 8, No. 1 ( 2018-02-12)
    Abstract: Glioblastoma stem-like cells (GSCs) are critical for the aggressiveness and progression of glioblastoma (GBM) and contribute to its resistance to adjuvant treatment. MicroRNAs (miRNAs) are small, non-coding RNAs controlling gene expression at the post-transcriptional level, which are known to be important regulators of the stem-like features. Moreover, miRNAs have been previously proved to be promising diagnostic biomarkers in several cancers including GBM. Using global expression analysis of miRNAs in 10 paired in-vitro as well as in-vivo characterized primary GSC and non-stem glioblastoma cultures, we identified a miRNA signature associated with the stem-like phenotype in GBM. 51 most deregulated miRNAs classified the cell cultures into GSC and non-stem cell clusters and identified a subgroup of GSC cultures with more pronounced stem-cell characteristics. The importance of the identified miRNA signature was further supported by demonstrating that a Risk Score based on the expression of seven miRNAs overexpressed in GSC predicted overall survival in GBM patients in the TCGA dataset independently of the IDH1 status. In summary, we identified miRNAs differentially expressed in GSCs and described their association with GBM patient survival. We propose that these miRNAs participate on GSC features and could represent helpful prognostic markers and potential therapeutic targets in GBM.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2018
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  • 7
    In: Reports of Practical Oncology and Radiotherapy, VM Media Group sp. z o.o, Vol. 27, No. 1 ( 2022-03-14), p. 134-141
    Type of Medium: Online Resource
    ISSN: 2083-4640 , 1507-1367
    Language: Unknown
    Publisher: VM Media Group sp. z o.o
    Publication Date: 2022
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  • 8
    In: Neurosurgical Review, Springer Science and Business Media LLC, Vol. 46, No. 1 ( 2023-05-23)
    Abstract: Despite the importance of functional outcome, only a few scoring systems exist to predict neurologic outcome in meningioma surgery. Therefore, our study aims to identify preoperative risk factors and develop the receiver operating characteristics (ROC) models estimating the risk of a new postoperative neurologic deficit and a decrease in Karnofsky performance status (KPS). A multicentric study was conducted in a cohort of 552 consecutive patients with skull base meningiomas who underwent surgical resection from 2014 to 2019. Data were gathered from clinical, surgical, and pathology records as well as radiological diagnostics. The preoperative predictive factors of functional outcome (neurologic deficit, decrease in KPS) were analyzed in univariate and multivariate stepwise selection analyses. Permanent neurologic deficits were present in 73 (13.2%) patients and a postoperative decrease in KPS in 84 (15.2%). Surgery-related mortality was 1.3%. A ROC model was developed to estimate the probability of a new neurologic deficit (area 0.74; SE 0.0284; 95% Wald confidence limits (0.69; 0.80)) based on meningioma location and diameter. Consequently, a ROC model was developed to predict the probability of a postoperative decrease in KPS (area 0.80; SE 0.0289; 95% Wald confidence limits (0.74; 0.85)) based on the patient’s age, meningioma location, diameter, presence of hyperostosis, and dural tail. To ensure an evidence-based therapeutic approach, treatment should be founded on known risk factors, scoring systems, and predictive models. We propose ROC models predicting the functional outcome of skull base meningioma resection based on the age of the patient, meningioma size, and location and the presence of hyperostosis and dural tail.
    Type of Medium: Online Resource
    ISSN: 1437-2320
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
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  • 9
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2007
    In:  Child's Nervous System Vol. 23, No. 7 ( 2007-07), p. 815-819
    In: Child's Nervous System, Springer Science and Business Media LLC, Vol. 23, No. 7 ( 2007-07), p. 815-819
    Type of Medium: Online Resource
    ISSN: 0256-7040 , 1433-0350
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2007
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