1. Vloga matičnih celic pri napredovanju in zdravljenju gliomaUrška Verbovšek, Tamara Lah Turnšek, Helena Motaln, Mateja Robič, 2013, original scientific article Abstract: Izvor tumorjev in stohastično naravo procesa karcinogeneze najbolje opisuje hierarhični model, ki predvideva obstoj tumorskih matičnih celic (TMC). Slednje predstavljajo populacijo celic z neomejenim samoobnovitvenim potencialom, ki so se sposobne diferencirati v vrste celic vseh treh zarodnih linij in so manj občutljive na večino protirakavih učinkovin. Zato predstavljajo glavni vir za razvoj in rast tumorja, zaradi svoje odpornosti na kemoterapijo pa so vzrok za ponovitev bolezni. Za uspešno zdravljenje možganskega tumorja glioma in njegove najbolj maligne oblike, glioblastoma multiformae (GBM), bi zato bilo potrebno odstraniti prav vse TMC. Žal slednjega zaradi prehitre infiltrativne vrasti subpopulacije GBM celic z visoko izraženimi geni za gibljivost (migratom) v okolno zdravo možgansko tkivo, ni možno doseči s trenutno uporabljanimi načini zdravljenja (npr. kirurškim izrezom)
Poleg TMC, ki so ključne za razvoj in razrast tumorja, tkivo tumorja vsebuje še hematopoetske matične celice, endotelne predniške celice in mezenhimske matične celice (MMC). Delovanje teh drugih vrst matičnih celic, kjer je bila celicam MMC že dokazana protitumorska aktivnost v GBM, pa je odvisno od tumorskega mikrookolja. Žal mehanizmi in delovanje MMC med modulacijo rasti tumorja preko parakrinih in neposrednih interakcij z GBM (matičnimi) celicami še niso znani. Kljub temu pa matične celice, s poudarkom na MMC, predstavljajo nove nosilce npr. za ciljni vnos terapevtske učinkovine v tumor, ki bi lahko izboljšali učinkovitost trenutnih protitumorskih terapij. Razvoj celičnih zdravil veliko obeta, saj so MMC, poleg svojih imunomodulacijskih lastnosti, sposobne tudi usmerjenega gibanja v GBM in tam učinkovati, o čemer razpravlja ta prispevek.
Keywords: tumorske matične celice, mezenhimske matične celice, mikrookolje tumorja, celična terapija
Published in DiRROS: 02.08.2024; Views: 108; Downloads: 87
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2. Identification of plasma biomarker candidates in glioblastoma using an antibody-array-based proteomic approachKlemen Zupančič, Marjan Koršič, Urška Verbovšek, Primož Rožman, Tamara Lah Turnšek, Andrej Blejec, Kristina Gruden, Helena Motaln, Miomir Knežević, Matija Veber, Ana Herman, 2014, original scientific article Abstract: Background. Glioblastoma multiforme (GBM) is a brain tumour with a very high patient mortality rate, with a median survival of 47 weeks. This might be improved by the identification of novel diagnostic, prognostic and predictive
therapy-response biomarkers, preferentially through the monitoring of the patient blood. The aim of this study was to define the impact of GBM in terms of alterations of the plasma protein levels in these patients.
Materials and methods. We used a commercially available antibody array that includes 656 antibodies to analyse
blood plasma samples from 17 healthy volunteers in comparison with 17 blood plasma samples from patients with
GBM.
Results. We identified 11 plasma proteins that are statistically most strongly associated with the presence of GBM.
These proteins belong to three functional signalling pathways: T-cell signalling and immune responses; cell adhesion and migration; and cell-cycle control and apoptosis. Thus, we can consider this identified set of proteins as potential diagnostic biomarker candidates for GBM. In addition, a set of 16 plasma proteins were significantly associated with the overall survival of these patients with GBM. Guanine nucleotide binding protein alpha (GNAO1) was associated with both GBM presence and survival of patients with GBM.
Conclusions. Antibody array analysis represents a useful tool for the screening of plasma samples for potential cancer biomarker candidates in small-scale exploratory experiments; however, clinical validation of these candidates requires their further evaluation in a larger study on an independent cohort of patients.
Keywords: glioblastoma, proteomics, biomarker
Published in DiRROS: 02.08.2024; Views: 134; Downloads: 106
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3. Expression analysis of all protease genes reveals cathepsin K to be overexpressed in glioblastomaUrška Verbovšek, Helena Motaln, Ana Rotter, Nadia A. Atai, Kristina Gruden, Cornelis J. F. van Noorden, Tamara Lah Turnšek, 2014, original scientific article Abstract: Background
Cancer genome and transcriptome analyses advanced our understanding of cancer biology. We performed transcriptome analysis of all known genes of peptidases also called proteases and their endogenous inhibitors in glioblastoma multiforme (GBM), which is one of the most aggressive and deadly types of brain cancers, where unbalanced proteolysis is associated with tumor progression.
Methods
Comparisons were performed between the transcriptomics of primary GBM tumors and unmatched non-malignant brain tissue, and between GBM cell lines (U87-MG and U373) and a control human astrocyte cell line (NHA). Publicly-available data sets and our own datasets were integrated and normalized using bioinformatics tools to reveal protease and protease inhibitor genes with deregulated expression in both malignant versus non-malignant tissues and cells.
Results
Of the 311 protease genes identified to be differentially expressed in both GBM tissues and cells, 5 genes were highly overexpressed, 2 genes coding for non-peptidase homologues transferrin receptor (TFRC) and G protein-coupled receptor 56 (GPR56), as well as 3 genes coding for the proteases endoplasmic reticulum aminopeptidase 2 (ERAP2), glutamine-fructose-6-phosphate transaminase 2 (GFPT2) and cathepsin K (CTSK), whereas one gene, that of the serine protease carboxypeptidase E (CPE) was strongly reduced in expression. Seventy five protease inhibitor genes were differentially expressed, of which 3 genes were highly overexpressed, the genes coding for stefin B (CSTB), peptidase inhibitor 3 (PI3 also named elafin) and CD74. Seven out of 8 genes (except CSTB) were validated using RT-qPCR in GBM cell lines. CTSK overexpression was validated using RT-qPCR in GBM tissues as well. Cathepsin K immunohistochemical staining and western blotting showed that only proteolytically inactive proforms of cathepsin K were overexpressed in GBM tissues and cells.
Conclusions
The presence of high levels of inactive proforms of cathepsin K in GBM tissues and cells indicate that in GBM the proteolytic/collagenolytic role is not its primary function but it plays rather a different yet unknown role.
Keywords: glioblastoma multiforme, genes
Published in DiRROS: 02.08.2024; Views: 115; Downloads: 140
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4. Analysis of glioblastoma patients' plasma revealed the presence of microRNAs with a prognostic impact on survival and those of viral originKlemen Zupančič, Helena Motaln, Miomir Knežević, Urška Verbovšek, Marjan Koršič, Tamara Lah Turnšek, Primož Rožman, Matjaž Jeras, Matjaž Hren, Kristina Gruden, Andrej Blejec, Matija Veber, Ana Herman, Andrej Porčnik, Vid Podpečan, 2015, original scientific article Abstract: Background
Glioblastoma multiforme (GBM) is among the most aggressive cancers with a poor prognosis in spite of a plethora of established diagnostic and prognostic biomarkers and treatment modalities. Therefore, the current goal is the detection of novel biomarkers, possibly detectable in the blood of GBM patients that may enable an early diagnosis and are potential therapeutic targets, leading to more efficient interventions.
Experimental Procedures
MicroRNA profiling of 734 human and human-associated viral miRNAs was performed on blood plasma samples from 16 healthy individuals and 16 patients with GBM, using the nCounter miRNA Expression Assay Kits.
Results
We identified 19 miRNAs with significantly different plasma levels in GBM patients, compared to the healthy individuals group with the difference limited by a factor of 2. Additionally, 11 viral miRNAs were found differentially expressed in plasma of GBM patients and 24 miRNA levels significantly correlated with the patients’ survival. Moreover, the overlap between the group of candidate miRNAs for diagnostic biomarkers and the group of miRNAs associated with survival, consisted of ten miRNAs, showing both diagnostic and prognostic potential. Among them, hsa miR 592 and hsa miR 514a 3p have not been previously described in GBM and represent novel candidates for selective biomarkers. The possible signalling, induced by the revealed miRNAs is discussed, including those of viral origin, and in particular those related to the impaired immune response in the progression of GBM.
Conclusion
The GBM burden is reflected in the alteration of the plasma miRNAs pattern, including viral miRNAs, representing the potential for future clinical application. Therefore proposed biomarker candidate miRNAs should be validated in a larger study of an independent cohort of patients
Keywords: microRNAs, glioblastoma multiforme, biomarkers, RNA extraction, viral disease diagnosis
Published in DiRROS: 26.07.2024; Views: 159; Downloads: 70
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5. Transmembrane protein CD9 is glioblastoma biomarker, relevant for maintenance of glioblastoma stem cellsNeža Podergajs, Helena Motaln, Uroš Rajčević, Urška Verbovšek, Marjan Koršič, Nina Obad, Heidi Espedal, Miloš Vittori, Christel Herold-Mende, Hrvoje Miletic, Rolf Bjerkvig, Tamara Lah Turnšek, 2016, original scientific article Abstract: The cancer stem cell model suggests that glioblastomas contain a subpopulation of stem-like tumor cells that reproduce themselves to sustain tumor growth. Targeting these cells thus represents a novel treatment strategy and therefore more specific markers that characterize glioblastoma stem cells need to be identified. In the present study, we performed transcriptomic analysis of glioblastoma tissues compared to normal brain tissues revealing sensible up-regulation of CD9 gene. CD9 encodes the transmembrane protein tetraspanin which is involved in tumor cell invasion, apoptosis and resistance to chemotherapy. Using the public REMBRANDT database for brain tumors, we confirmed the prognostic value of CD9, whereby a more than two fold up-regulation correlates with shorter patient survival. We validated CD9 gene and protein expression showing selective up-regulation in glioblastoma stem cells isolated from primary biopsies and in primary organotypic glioblastoma spheroids as well as in U87-MG and U373 glioblastoma cell lines. In contrast, no or low CD9 gene expression was observed in normal human astrocytes, normal brain tissue and neural stem cells. CD9 silencing in three CD133+ glioblastoma cell lines (NCH644, NCH421k and NCH660h) led to decreased cell proliferation, survival, invasion, and self-renewal ability, and altered expression of the stem-cell markers CD133, nestin and SOX2. Moreover, CD9-silenced glioblastoma stem cells showed altered activation patterns of the Akt, MapK and Stat3 signaling transducers. Orthotopic xenotransplantation of CD9-silenced glioblastoma stem cells into nude rats promoted prolonged survival. Therefore, CD9 should be further evaluated as a target for glioblastoma treatment.
Keywords: biomarker, CD9, glioblastoma stem cells, neural stem cells, tetraspanin
Published in DiRROS: 26.07.2024; Views: 138; Downloads: 98
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6. Cathepsin K cleavage of SDF-1[alpha] inhibits its chemotactic activity towards glioblastoma stem-like cellsVashendriya V. V. Hira, Urška Verbovšek, Barbara Breznik, Matic Srdič, Marko Novinec, Hala Kakar, Jill Wormer, Britt van der Swaan, Brigita Lenarčič, Luiz Juliano, Shwetal Mehta, Cornelis J. F. van Noorden, Tamara Lah Turnšek, 2017, original scientific article Abstract: Glioblastoma (GBM) is the most aggressive primary brain tumor with poor patient survival that is at least partly caused by malignant and therapy-resistant glioma stem-like cells (GSLCs) that are protected in GSLC niches. Previously, we have shown that the chemo-attractant stromal-derived factor-1α (SDF-1α), its C-X-C receptor type 4 (CXCR4) and the cysteine protease cathepsin K (CatK) are localized in GSLC niches in glioblastoma. Here, we investigated whether SDF-1α is a niche factor that through its interactions with CXCR4 and/or its second receptor CXCR7 on GSLCs facilitates their homing to niches. Furthermore, we aimed to prove that SDF-1α cleavage by CatK inactivates SDF-1α and inhibits the invasion of GSLCs. We performed mass spectrometric analysis of cleavage products of SDF-1α after proteolysis by CatK. We demonstrated that CatK cleaves SDF-1α at 3 sites in the N-terminus, which is the region of SDF-1α that binds to its receptors. Confocal imaging of human GBM tissue sections confirmed co-localization of SDF-1α and CatK in GSLC niches. In accordance, 2D and 3D invasion experiments using CXCR4/CXCR7-expressing GSLCs and GBM cells showed that SDF-1α had chemotactic activity whereas CatK cleavage products of SDF-1α did not. Besides, CXCR4 inhibitor plerixafor inhibited invasion of CXCR4/CXCR7-expressing GSLCs.
In conclusion, CatK can cleave and inactivate SDF-1α. This implies that CatK activity facilitates migration of GSLCs out of niches. We propose that activation of CatK may be a promising strategy to prevent homing of GSLCs in niches and thus render these cells sensitive to chemotherapy and radiation.
Keywords: glioma stem-like cells, niche, stromal derived factor-[alpha], cathepsin K
Published in DiRROS: 24.07.2024; Views: 122; Downloads: 133
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7. Identification of plasma biomarker candidates in glioblastoma using an antibody-array-based proteomic approachKlemen Zupančič, Andrej Blejec, Ana Herman, Matija Veber, Urška Verbovšek, Marjan Koršič, Miomir Knežević, Primož Rožman, Tamara Lah Turnšek, Kristina Gruden, Helena Motaln, 2014, original scientific article Abstract: Background. Glioblastoma multiforme (GBM) is a brain tumour with a very high patient mortality rate, with a median survival of 47 weeks. This might be improved by the identification of novel diagnostic, prognostic and predictive therapy-response biomarkers, preferentially through the monitoring of the patient blood. The aim of this study was to define the impact of GBM in terms of alterations of the plasma protein levels in these patients. Materials and methods. We used a commercially available antibody array that includes 656 antibodies to analyse blood plasma samples from 17 healthy volunteers in comparison with 17 blood plasma samples from patients with GBM. Results. We identified 11 plasma proteins that are statistically most strongly associated with the presence of GBM. These proteins belong to three functional signalling pathways: T-cell signalling and immune responses; cell adhesion and migration; and cell-cycle control and apoptosis. Thus, we can consider this identified set of proteins as potential diagnostic biomarker candidates for GBM. In addition, a set of 16 plasma proteins were significantly associated with the overall survival of these patients with GBM. Guanine nucleotide binding protein alpha (GNAO1) was associated with both GBM presence and survival of patients with GBM. Conclusions. Antibody array analysis represents a useful tool for the screening of plasma samples for potential cancer biomarker candidates in small-scale exploratory experiments; however, clinical validation of these candidates requires their further evaluation in a larger study on an independent cohort of patients.
Keywords: glioblastoma, proteomics, biomarker
Published in DiRROS: 16.04.2024; Views: 468; Downloads: 412
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