Glioblastoma isocitrate dehydrogenase-wild-type (GBM) is the most lethal and, concurrently, the most common malignant primary brain tumor. Its aggressive behavior is associated with the presence of a subpopulation of glioblastoma stem cells (GSCs) that drive resistance to therapy and early relapse. P-element-induced wimpy testis-interacting RNAs (piRNAs), which are characteristically expressed in undifferentiated cells, are thought to play an important role in GSC biology. To identify piRNAs associated with GSCs, we selected 24 paired GSC and non-GSC cultures from patients with GBM based on the expression of stem cell markers CD133 and Sox2, ability of GSCs to form spheres in culture, and to differentiate and replicate tumors in immunodeficient mice. Global piRNA profiling using next-generation sequencing revealed 98 significantly differentially expressed piRNAs in GSCs compared with non-GSCs, including piR-9491, whose dysregulation in GBM has been previously described. Downregulation of piR-9491 in GSCs led to decreased viability, growth, invasion, and increased apoptosis. Significance of piRNA pathway for GBM pathology was further highlighted by identification of 34 piRNAs connected to patients' survival. These molecules were further used for the establishment of a piRNA signature predicting survival of patients with GBM. Our results not only confirm the important role of piR-9491 in GSCs but also indicate a potential significant role of piRNAs in the biology of GBM.

PIWI proteins, a conserved Argonaute subfamily of proteins that interact with PIWI-interacting RNAs (piRNAs), have been implicated in cancer development. However, their roles in glioblastoma (GBM), particularly in glioblastoma stem cells (GSCs), a therapy-resistant subpopulation of malignant cells that drives tumor progression, remain insufficiently defined. We integrated bulk RNA sequencing, single-nuclei RNA sequencing, and RT-qPCR across large and well-defined GBM cohorts (146 patients) to generate the first comprehensive transcriptomic, tumor-, and cell-state-resolved analysis of PIWIL1–4 expression. PIWIL2 and PIWIL4 were consistently expressed in GBM, whereas PIWIL1 and PIWIL3 were largely absent. Single-nuclei RNA sequencing showed that PIWIL2 was enriched in the mesenchymal-like 2 (MES2) state associated with hypoxia, a condition linked to cancer stemness. Using 24 paired patient-derived GSC and non-GSC cultures, we found that PIWIL2 transcript expression was consistently enriched in GSCs and decreased upon differentiation. Transient siRNA-mediated silencing of PIWIL2 reduced GSC viability and was associated with reduced sphere-forming capacity, decreased total normalized piRNA counts, and altered expression of specific piRNAs. PIWIL4 was expressed in both GSC and non-GSC cultures and was enriched in MES1-, AC-, and NPC2-like states. Together, these findings provide a comprehensive characterization of PIWI family expression in GBM and, through integrated transcriptomic and functional analyses, identify PIWIL2 as the PIWI family member most consistently linked to the GSC phenotype.

Small noncoding RNAs play an important role in various disease states, including cancer. PIWI proteins, a subfamily of Argonaute proteins, and PIWI-interacting RNAs (piRNAs) were originally described as germline-specific molecules that inhibit the deleterious activity of transposable elements. However, several studies have suggested a role for the piRNA-PIWI axis in somatic cells, including somatic stem cells. Dysregulated expression of piRNAs and PIWI proteins in human tumors implies that, analogously to their roles in undifferentiated cells under physiological conditions, these molecules may be important for cancer stem cells and thus contribute to cancer progression. We provide an overview of piRNA biogenesis and critically review the evidence for the role of piRNA-PIWI axis in cancer stem cells. In addition, we examine the potential of piRNAs and PIWI proteins to become biomarkers in cancer.

Background/Aim: Brain metastases (BMs) are the most frequent intracranial tumors in adults and one of the greatest challenges for modern oncology. Most are derived from lung, breast, renal cell, and colorectal carcinomas and melanomas. Up to 14% of patients are diagnosed with BMs of unknown primary, which are commonly characterized by an early and aggressive metastatic spread. It is important to discover novel biomarkers for early identification of BM origin, allowing better management of patients with this disease. Our study focused on microRNAs (miRNAs), which are very stable in frozen native and FFPE tissues and have been shown to be sensitive and specific diagnostic biomarkers of cancer. We aimed to identify miRNAs with significantly different expression in the five most frequent groups of BMs and develop a diagnostic classifier capable of sensitive and specific classification of BMs. Materials and Methods: Total RNA enriched for miRNAs was isolated using the mirVana miRNA Isolation Kit from 71 fresh-frozen histopathologically confirmed BM tissues originating in 5 cancer types. Sequencing libraries were prepared using the QIAseq miRNA Library Kit and sequenced on the NextSeq 500 platform. MiRNA expression was further validated by RT-qPCR. Results: Differential analysis identified 373 miRNAs with significantly different expression between 5 BM groups (p<0.001). A classifier model was developed based on the expression of 6 miRNAs (hsa-miR-141-3p, hsa-miR-141-5p, hsa-miR-146a-5p, hsa-miR-194-5p, hsa-miR-200b-3p and hsa-miR-365b-5p) with the ability to correctly classify 91.5% of samples. Subsequent validation confirmed both significantly different expression of selected miRNAs in 5 BM groups as well as their diagnostic potential. Conclusion: To date, our study is the first to analyze miRNA expression in various types of BMs using small RNA sequencing to develop a diagnostic classifier and, thus, to help stratify BMs of unknown primary. The presented results confirm the importance of studying the dysregulated expression of miRNAs in BMs and the diagnostic potential of the validated 6-miRNA signature.

Brain metastases are the most frequent intracranial tumors in adults and the cause of death in almost one-fourth of cases. The incidence of brain metastases is steadily increasing. The main reason for this increase could be the introduction of new and more efficient therapeutic strategies that lead to longer survival but, at the same time, cause a higher risk of brain parenchyma infiltration. In addition, the advances in imaging methodology, which provide earlier identification of brain metastases, may also be a reason for the higher recorded number of patients with these tumors. Metastasis is a complex biological process that is still largely unexplored, influenced by many factors and involving many molecules. A deeper understanding of the process will allow the discovery of more effective diagnostic and therapeutic approaches that could improve the quality and length of patient survival. Recent studies have shown that microRNAs (miRNAs) are essential molecules that are involved in specific steps of the metastatic cascade. MiRNAs are endogenously expressed small non-coding RNAs that act as post-transcriptional regulators of gene expression and thus regulate most cellular processes. The dysregulation of these molecules has been implicated in many cancers, including brain metastases. Therefore, miRNAs represent promising diagnostic molecules and therapeutic targets in brain metastases. This review summarizes the current knowledge on the importance of miRNAs in brain metastasis, focusing on their involvement in the metastatic cascade and their potential clinical implications.

Introduction: Glioblastoma (GBM) is the most common malignancy affecting the CNS. Despite radical therapy, recurrence of GBM is a frequent and relatively early event in the course of the disease. One of the putative mechanisms of early recurrence of GBM is the existence of glioblastoma stem cells (GSCs) that can resist therapy and subsequently establish new GBM foci. PIWI-interacting RNAs (piRNAs), responsible for maintaining genome stability, may play a key role not only in the biology of germ and stem cells but also GSCs since their dysregulated expression has been described in several cancers, including GBM. Thus, the identification of specific piRNAs in GSCs could allow the distinction of these cells from other GBM cells and their eventual targeting. Some piRNAs could also be promising biomarkers useful for prognosis and prediction of disease progression. Material and Methods: Native GBM tissues dissociated using the Papain Dissociation System were used for culturing of paired cell primary cultures. Cells were divided into two aliquots with different culture conditions. GSCs were cultured in DMEM/F12 medium supplemented with bFGF and EGF growth factors. DMEM medium containing 10% fetal bovine serum (FBS) was used to culture non-stem GBM cells. Subsequently, the presence of neural stem cell markers CD133 and SOX2, the ability of GSCs to establish tumors in immunodeficient mice, and the ability to differentiate into more mature cell types were analyzed. RNA isolated from the paired primary cultures was used for small-RNA sequencing (RNA-seq). QIAseq miRNA Library Kit was used for the preparation of cDNA libraries. Sequencing analysis was performed using the NextSeq 500/550 High Output v2 Kit (75 cycles) and the NextSeq 500 sequencer. Results: Twelve paired primary cultures were prepared to global piRNA expression profiling. Small RNA-seq bioinformatics analysis identified between 3.45 and 5.51% of unique mapped piRNA reads in all samples; GSCs expressing higher levels of piRNA molecules in comparison with paired GBM cells. Subsequently, we identified a set of significantly differentially expressed piRNAs in GSCs. Expression of selected piRNAs was then artificially regulated in primary GSCs in vitro, and the effect of these molecules on neurosphere formation, viability, and cell genome stability was analyzed. Finally, we also observed an association of piR-23231 with overall survival of GBM patients. All results will be presented at the AACR Annual Meeting 2022. Conclusion: Based on the results so far, piRNAs seem to play an important role in GSCs as well as GBM biology and their targeting may be a promising tool for therapy of GBM patients. The study was supported by the programme project of the Ministry of Health of the Czech Republic with reg. no. NV19-03-00501 and NV19-03-00559. Citation Format: Jiri Sana, Frantisek Siegl, Marek Vecera, Pavel Fadrus, Jaroslav Juracek, Petra Pokorna, Karolina Trachtova, Tomas Kazda, Ondrej Slaby. Small RNA-seq analysis of PIWI-interacting RNAs in glioblastoma stem cells: Identification of new therapeutic targets in glioblastoma patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 908.

Abstract BACKGROUND 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< 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.

Abstract BACKGROUND One of the putative mechanisms of early recurrence of GBM is the existence of glioblastoma stem cells (GSCs) that can resist therapy and subsequently establish new GBM foci. PIWI-interacting RNAs (piRNAs), responsible for maintaining genome stability, may then play a key role in their biology, particularly in germ and stem cells. A number of piRNA molecules are also promising biomarkers useful for prognosis and prediction of disease progression.Material and METHODS Glioblastoma stem cells were cultured in DMEM/F12 medium supplemented with bFGF and EGF growth factors. DMEM medium containing 10% fetal bovine serum (FBS) was used to culture differentiated cells. RNA was isolated from the selected paired primocultures and subsequently checked for quality by capillary electrophoresis. NEBNext Small RNA Library Prep Set was used for the preparation of cDNA libraries. Sequencing analysis was performed using the Next500/550 High Output v2 Kit for 75 cycles and the NextSeq500 sequencer. RESULTS Twenty paired primary cultures were prepared to verify the expression of CD133 and SOX2 in GSCs, the ability to establish tumors in immunodeficient mice, and the ability to differentiate. At this time, we finished sequencing of piRNA molecules and acquired data are bioinformatically analysed. Subsequently, we will perform analysis of selected piRNAs to be diagnostic and prognostic biomarkers on the GBM samples and non-tumor brain controls. All results will be presented at the conference. CONCLUSION Based on recent studies, it is evident that piRNA expression can have a significant impact on GBM biology. Their expression within GSCs may then provide a tool for identifying and targeting these cells and could be usable as a diagnostic and prognostic biomarker in GBM patients.The study was supported by the programme project of the Ministry of Health of the Czech Republic with reg. no. NV19-03-00501, NV19-03-00559, Conceptual development of research organization FNBr, 65269705

Background/Aim: Glioblastoma (GBM) is one of the deadliest human cancers responding very poorly to therapy. Although the central nervous system has been traditionally considered an immunologically privileged site with an enhanced immune response, GBM appears to benefit from this immunosuppressive milieu. Immunomodulatory molecules play an important role in immune tumor-host interactions. Non-classical human leukocyte antigens (HLA) class Ib molecules HLA-E, HLA-F, and HLA-G have been previously described to be involved in protecting semi-allogeneic fetal allografts from the maternal immune response and in transplant tolerance as well as tumoral immune escape. Unfortunately, their role in GBM remains poorly understood. Our study, therefore, aimed to characterize the relationship between the expression of these molecules in GBM on the transcriptional level and clinico-pathological and molecular features of GBM as well as the effect of ionizing radiation. Materials and Methods: We performed the analysis of HLA-E, HLA-F, and HLA-G mRNA expression in 69 GBM tissue samples and 21 non-tumor brain tissue samples (controls) by reverse transcription polymerase chain reaction. Furthermore, two primary GBM cell cultures had been irradiated to identify the effect of ionizing radiation on the expression of non-classical HLA molecules. Results: Analyses revealed that both HLA-E and HLA-F are significantly up-regulated in GBM samples. Subsequent survival analysis showed a significant association between low expression of HLA-E and shorter survival of GBM patients. The dysregulated expression of both molecules was also observed between patients with methylated and unmethylated O-6-methylguanine-DNA methyltransferase (MGMT) promoter. Finally, we showed that ionizing radiation increased HLA-E expression level in GBM cells in vitro. Conclusion: HLA-E and HLA-F play an important role in GBM biology and could be used as diagnostic biomarkers, and in the case of HLA-E also as a prognostic biomarker.

Purpose: Mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS) is the most common drug-resistant epilepsy. Despite major advances in epilepsy research, the epileptogenesis of the MTLE-HS is not well understood. The altered neuroimmune response is one of the pathomechanisms linked to progressive epileptogenesis in MTLE-HS, and understanding its role may help design future cures for pharmaco-resistant MTLE-HS. Here, the neuroimmune function was evaluated by the assessment of cytokine-chemokine profiles in brain samples from the hippocampus of patients with MTLE-HS. Methods: Brain samples from patients with MTLE-HS collected during epileptosurgical resection (n = 21) were compared to those obtained from autopsy controls (n = 13). The typing of HS was performed according to ILAE consensus classification, and patients were additionally sorted into subgroups based on the severity of neuronal depletion (Wyler grading system). Differences between patients with MTLE-HS with and without a history of febrile seizures were also assessed. RNA was isolated from native samples, and real-time gene expression analysis of cytokine-chemokine profiles, i.e., levels of IL-1 beta, IL-6, IL-10, IL-18, CCL2, CCL3, CCL4, and STAT3, was carried out by qRT-PCR methodology. Results: Upregulation of IL-1 beta (p = 0.001), IL-18 (p = 0.0018), CCL2 (p = 0,0377), CCL3 (p < 0.001), and CCL4 (p < 0.001) in MTLE-HS patients was detected when compared to the post-mortem hippocampal samples collected from autopsy controls. The STAT3 expression was higher in more severe neuronal loss and glial scaring determined by different Wyler grades in HS patients. Furthermore, cytokine-chemokine profiles were not different in MTLE-HS patients with or without febrile seizures. Conclusion: The upregulation of specific cytokines and chemokines in MTLE-HS provides evidence that the neuroinflammatory process contributes to MTLE epileptogenesis. History of febrile seizures did not alter the immune profiles. Specific immune mediators and related immune pathways represent potential therapeutic targets for seizure control and pharmacoresistancy prevention in MTLE associated with hippocampal sclerosis.

Spinal muscular atrophy (SMA) is an autosomal recessive neurodegenerative disease characterized by the selective death of lower motor neurons in the anterior horns of spinal cord. SMA is caused by mutations in the survival motor neuron 1 gene (SMN1), leading to the reduced expression of the full-length SMN protein that protects the motoneurons in the anterior horns of the spinal cord from apoptosis. The survivance of motoneurons depends beside others on motoneuron specific microRNAs (miRNAs), which control their normal development, differentiation, axonal growths, synaptogenesis and apoptosis. The main role of miRNAs is regulation of post-transcriptional gene expression. Motor neuron-specific miRNAs dysregulation in SMA might be implicated in their selective vulnerability. The detection of these miRNAs in cerebrospinal fluid and/or blood plasma might lead to the discovery of biomarkers and early diagnostics of SMA, prediction of the severity and of progression speed of the disease and monitoring of the treatment.

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>2, adj.p-value<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.

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 < 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.