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  • 1
    In: Neuro-Oncology, Oxford University Press (OUP), Vol. 24, No. Supplement_7 ( 2022-11-14), p. vii149-vii150
    Abstract: Brain metastases (BMs) are intracranial tumors that frequently occur in adult cancer patients. Because the prognosis of patients with BM individually varies, it would be useful to improve prognostic scoring tools by including new high-performance biomarkers. MicroRNAs (miRNAs) appear to be promising in this regard as they are highly stable and, thus, suitable for both next-generation sequencing (RNA-Seq) and retrospective analyses in formalin-fixed and paraffin-embedded (FFPE) tissues.Material and METHODS Total RNA enriched for miRNAs was isolated from 71 freshly frozen histopathologically confirmed BMs with origin in 5 tumor types (ca lung - 37%, melanoma - 23%, ca breast - 18%, RCC - 15%, CRC - 7%) using mirVana miRNA Isolation Kit (Thermo Fisher Scientific). Sequencing libraries were prepared from RNA using the QIAseq miRNA Library Kit (Qiagen) and sequenced using the NextSeq 500 platform (Illumina). The miRNA molecules were subsequently transcribed from total RNA samples isolated from a retrospective set of 119 FFPE tissues using the TaqMan Advanced miRNA cDNA Synthesis Kit, and the expression of selected miRNAs was validated in a pilot experiment by qPCR using TaqMan Fast Advanced Master Mix and appropriate TaqMan MicroRNA Assays (all from Thermo Fisher Scientific). RESULTS The differential analysis identified 373 miRNAs with significantly different expression among the 5 BMs groups (p & lt; 0.001). A molecular classifier based on the expression of 32 miRNAs was able to classify all samples correctly. Out of these, seven, including miR-122-5p, miR-141-3p, miR-146a-5p, miR-194-5p, miR-200c-3p, miR-211-3p, and miR-215-5p, were chosen for subsequent validation and their significantly different expression in 5 BMs groups was validated. CONCLUSIONS Presented results confirm the importance of studying dysregulated miRNA expression in BM and the diagnostic potential of validated miRNAs. The study was prepared with the grant support of the Ministry of Health of the Czech Republic - grant No. NV18-03-00398.
    Type of Medium: Online Resource
    ISSN: 1522-8517 , 1523-5866
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
    detail.hit.zdb_id: 2094060-9
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  • 2
    In: Neuro-Oncology, Oxford University Press (OUP), Vol. 24, No. Supplement_7 ( 2022-11-14), p. vii252-vii253
    Abstract: Modern comprehensive local treatment of BM provides the possibility of adequate local control while maintaining a satisfactory quality of life. METHODS Patients after metastasectomy and postoperative radiotherapy treated between 2007-2020 were evaluated. Local control was assessed separately at the site of the operated MM (localPFS) and separately in other parts of the brain (distalPFS). RESULTS A total of 118 patients were enrolled (70 with WBRT), 54% were women, the median age was 60 years, the median performance status Karnofsky 80%. The most common primary tumor was lung carcinoma (39/118, 33%). Targeted stereotactic radiotherapy was significantly more often indicated in operations performed after 2016 (p & lt; 0.001). In the period 2013-2019, gross total resection was achieved significantly more often (83 vs 64%; p = 0.061). The median follow-up is 49 months. The median overall survival (OS) is 9 months (6.2 - 12), the median localPFS 22 months (14 - unattainable), median distPFS 11 months (6.8 - 27 months), median extracranialPFS 11 months (5.9 - 15). Stratification of patients according to the prognostic index brainmetgpa.com led to significant separation of patients for OS (p = 0.00017). In a multivariate analysis, stereotactic radiotherapy was statistically significant positive prognostic factor for OS compared to WBRT (median OS 17 vs. 5.6 months, HR 0.59, p = 0.018) with no effect on localPFS. CONCLUSION Our results of comprehensive local treatment of BM are comparable with the results presented by important foreign studies from prestigious oncology centers. We described targeted stereotactic postoperative radiotherapy as an independent positive prognostic factor after brain metastasectomy. The study was supported by the programme project of the Ministry of Health of the Czech Republic with reg. no. NV18-03-00398, NV19-03-00501 and NV19-03-00559 and Supported by Ministry of Health, Czech Republic-conceptual development of research organization (FNBr, 65269705).
    Type of Medium: Online Resource
    ISSN: 1522-8517 , 1523-5866
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
    detail.hit.zdb_id: 2094060-9
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  • 3
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2021
    In:  Neuro-Oncology Vol. 23, No. Supplement_6 ( 2021-11-12), p. vi115-vi115
    In: Neuro-Oncology, Oxford University Press (OUP), Vol. 23, No. Supplement_6 ( 2021-11-12), p. vi115-vi115
    Abstract: MicroRNAs (miRNAs) are a well-known subclass of short non-coding RNAs responsible for posttranscriptional gene silencing and have been described as dysregulated in many cancers. They have also been shown to be both specific diagnostic, prognostic, and predictive biomarkers as well as therapeutic targets. Therefore, specific miRNA expression patterns of BMs of various origins could serve as a promising diagnostic tool for determining both the original tumor and the prognosis in patients with BMs of unknown origin. For identifying significantly dysregulated miRNAs among BMs (n=90) with various origin and non-tumor brain tissues (n=12), small RNAseq analyses were used. cDNA libraries were prepared using QIAseq miRNA Library Kit and purified by Qiaseq beads. The final sequencing analyses were performed by Next 500/550 High Output v2 Kit-75 cycles using the NextSeq 500 instrument. For miRNA mapping and analysis, Miraligner and MirBase were used. Bioinformatic analysis of obtained sequencing data identified 472 significantly dysregulated miRNAs (logFc & gt;2, adj.p-value & lt; 0.05) between BM and non-tumor samples. The comparison of BMs origin from lung BMs (n = 26) with other BMs revealed 132 significantly dysregulated miRNAs, mainly miR-4662a-5p, miR-1179, miR-211-5p, miR-146a-5p, and miR-194-5p. The most significantly dysregulated miRNAs in breast BMs were miR-4728-3p, miR-211-5p, miR-184, miR-365b-5p, and miR-2115-3p. In BMs originating from melanoma, miR-200c-3p, miR-141-5p, miR-200b-5p, miR-514a-3p, and miR-200b-3p showed the most aberrant expression. We have demonstrated that miRNA profiling could be a potent tool for the partition of brain metastases based on their origin. We found that miRNA signatures corresponding to particular origins are rather distinct from the profiles of the rest of BMs. Our results suggest that after validation, miRNA profiling can be used to identify the origin of brain metastases and potentially for the refinement of the diagnosis. Supported by the Ministry of Health of the Czech Republic, grant nr. NV18-03-00398.
    Type of Medium: Online Resource
    ISSN: 1522-8517 , 1523-5866
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 2094060-9
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  • 4
    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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  • 5
    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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  • 6
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 7_Supplement ( 2023-04-04), p. 3758-3758
    Abstract: Brain metastases (BMs) comprise a heterogeneous group of the most frequent intracranial tumors in adults, most originating in lung, breast, renal cell, and colorectal carcinomas and melanomas. Despite the recent improvements in imaging methodology resulting in earlier BM identification and advancements in treatment strategies, BMs are still a significant cause of patient morbidity. Furthermore, BMs frequency increases due to more prolonged survival of cancer patients and population aging. Since the most widely used prognostic scoring systems for BMs require prior knowledge of the primary origin and up to 14% of BMs are classified as BMs of unknown primary, there is an urgent unmet need for accurate biomarkers for identification of BM origin. MiRNAs are non-coding RNAs with an approximate length of 22 nucleotides, functioning as post-transcriptional regulators of gene expression. Dysregulated miRNA expression profile has been observed in many pathological processes, including the complex and not fully understood metastatic cascade. These molecules are very stable and present not only in tissues but also in human body fluids, including blood plasma and cerebrospinal fluid (CSF). Based on these facts, both tissue and circulating miRNAs are extensively studied as potential diagnostic biomarkers. Specific miRNA signatures of BMs were obtained using high-throughput miRNA profiling (Illumina small RNA sequencing) on 3 types of samples (metastatic tissue, blood plasma, CSF) from a cohort of 30 patients with BMs originating in the 5 tumor types – lung, breast, renal cell and colorectal carcinomas and melanomas (6 patients per group, 87 samples in total, only 3 CSF samples from RCC patients available). We identified significantly differentially expressed miRNAs in BM tissues with the ability to differentiate between primary origins. Tissue miRNAs could identify BMs originating from breast, colorectal and renal cell carcinomas and melanomas with high specificity and sensitivity. Interestingly, the heterogeneity of lung carcinomas was also characteristic for the corresponding BMs, making it challenging to distinguish accurately from other BMs. Even though the tissue-specific miRNA signature was the most precise, our results suggest a significant diagnostic potential of circulating miRNAs from CSF for BM patients. Therefore, these short and stable molecules could potentially help identify the origin of BMs of unknown primary. The research is supported by project National Institute for Cancer Research (Programme EXCELES, ID Project No. LX22NPO5102) - Funded by the European Union - Next Generation EU. Citation Format: Dagmar Al Tukmachi, Michaela Ruckova, Marek Vecera, Tana Machackova, Petra Pokorna, Marketa Hermanova, Michal Hendrych, Leos Kren, Ivana Roskova, Vaclav Vybihal, Hana Valekova, Radim Jancalek, Jiri Sana, Martin Smrcka, Ondrej Slaby. Tumor tissue and cerebrospinal fluid microRNA profiles enable the classification of brain metastasis accordingly to their origin. [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 3758.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 7
    In: Frontiers in Oncology, Frontiers Media SA, Vol. 11 ( 2021-8-13)
    Abstract: Glioblastoma (GBM) is the most frequently occurring primary malignant brain tumor of astrocytic origin. To change poor prognosis, it is necessary to deeply understand the molecular mechanisms of gliomagenesis and identify new potential biomarkers and therapeutic targets. PIWI-interacting RNAs (piRNAs) help in maintaining genome stability, and their deregulation has already been observed in many tumors. Recent studies suggest that these molecules could also play an important role in the glioma biology. To determine GBM-associated piRNAs, we performed small RNA sequencing analysis in the discovery set of 19 GBM and 11 non-tumor brain samples followed by TaqMan qRT-PCR analyses in the independent set of 77 GBM and 23 non-tumor patients. Obtained data were subsequently bioinformatically analyzed. Small RNA sequencing revealed 58 significantly deregulated piRNA molecules in GBM samples in comparison with non-tumor brain tissues. Deregulation of piR-1849, piR-9491, piR-12487, and piR-12488 was successfully confirmed in the independent groups of patients and controls (all p & lt; 0.0001), and piR-9491 and piR-12488 reduced GBM cells’ ability to form colonies in vitro . In addition, piR-23231 was significantly associated with the overall survival of the GBM patients treated with Stupp regimen ( p = 0.007). Our results suggest that piRNAs could be a novel promising diagnostic and prognostic biomarker in GBM potentially playing important roles in gliomagenesis.
    Type of Medium: Online Resource
    ISSN: 2234-943X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2649216-7
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  • 8
  • 9
    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
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 10
    In: Neuro-Oncology Advances, Oxford University Press (OUP), Vol. 3, No. Supplement_3 ( 2021-08-09), p. iii1-iii1
    Abstract: MicroRNAs (miRNAs) are a well-known subclass of short non-coding RNAs responsible for posttranscriptional gene silencing and have been described as dysregulated in many cancers. They have also been shown to be both specific diagnostic, prognostic, and predictive biomarkers as well as therapeutic targets. Therefore, specific miRNA expression patterns of BMs of various origins could serve as a promising diagnostic tool for determining both the original tumor and the prognosis in patients with BMs of unknown origin. For identifying significantly dysregulated miRNAs among BMs (n = 90) with various origin and non-tumor brain tissues (n = 12), small RNAseq analyses were used. cDNA libraries were prepared using QIAseq miRNA Library Kit and purified by Qiaseq beads. The final sequencing analyses were performed by Next 500/550 High Output v2 Kit-75 cycles using the NextSeq 500 instrument. For miRNA mapping and analysis, Miraligner and MirBase were used. Bioinformatic analysis of obtained sequencing data identified 472 significantly dysregulated miRNAs (logFc & gt;2, adj.p-value & lt;0.05) between BM and non-tumor samples. The comparison of BMs origin from lung BMs (n = 26) with other BMs revealed 132 significantly dysregulated miRNAs, mainly miR-4662a-5p, miR-1179, miR-211-5p, miR-146a-5p, and miR-194-5p. The most significantly dysregulated miRNAs in breast BMs were miR-4728-3p, miR-211-5p, miR-184, miR-365b-5p, and miR-2115-3p. In BMs originating from melanoma, miR-200c-3p, miR-141-5p, miR-200b-5p, miR-514a-3p, and miR-200b-3p showed the most aberrant expression. We have demonstrated that miRNA profiling could be a potent tool for the partition of brain metastases based on their origin. We found that miRNA signatures corresponding to particular origins are rather distinct from the profiles of the rest of BMs. Our results suggest that after validation, miRNA profiling can be used to identify the origin of brain metastases and potentially for the refinement of the diagnosis. Supported by the Ministry of Health of the Czech Republic, grant nr. NV18-03-00398.
    Type of Medium: Online Resource
    ISSN: 2632-2498
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 3009682-0
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