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Iskalni niz: "ključne besede" (biomarker) .

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1.
Identification of plasma biomarker candidates in glioblastoma using an antibody-array-based proteomic approach
Klemen Zupančič, Marjan Koršič, Urška Verbovšek, Primož Rožman, Tamara Lah Turnšek, Andrej Blejec, Kristina Gruden, Helena Motaln, Miomir Knežević, Matija Veber, Ana Herman, 2014, izvirni znanstveni članek

Povzetek: 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.
Ključne besede: glioblastoma, proteomics, biomarker
Objavljeno v DiRROS: 02.08.2024; Ogledov: 111; Prenosov: 78
URL Povezava na celotno besedilo
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2.
BioMiner
Joachim Selbig, Kristina Gruden, Michal Or-Guil, Christian Schichor, Chris Bauer, Karol Stec, Alexander Glintschert, Johannes Schuchhardt, 2015, izvirni znanstveni članek

Povzetek: Personalized medicine is promising a revolution for medicine and human biology in the 21st century. The scientific foundation for this revolution is accomplished by analyzing biological high-throughput data sets from genomics, transcriptomics, proteomics, and metabolomics. Currently, access to these data has been limited to either rather simple Web-based tools, which do not grant much insight or analysis by trained specialists, without firsthand involvement of the physician. Here, we present the novel Web-based tool “BioMiner,” which was developed within the scope of an international and interdisciplinary project (SYSTHER†) and gives access to a variety of high-throughput data sets. It provides the user with convenient tools to analyze complex cross-omics data sets and grants enhanced visualization abilities. BioMiner incorporates transcriptomic and cross-omics high-throughput data sets, with a focus on cancer. A public instance of BioMiner along with the database is available at http://systherDB.microdiscovery.de/, login and password: “systher”; a tutorial detailing the usage of BioMiner can be found in the Supplementary File.
Ključne besede: data mining, multiomics data integration, biomarker detection, pathway visualization, personalized medicine, cancer
Objavljeno v DiRROS: 26.07.2024; Ogledov: 104; Prenosov: 89
URL Povezava na celotno besedilo
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3.
Transmembrane protein CD9 is glioblastoma biomarker, relevant for maintenance of glioblastoma stem cells
Neža 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, izvirni znanstveni članek

Povzetek: 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.
Ključne besede: biomarker, CD9, glioblastoma stem cells, neural stem cells, tetraspanin
Objavljeno v DiRROS: 26.07.2024; Ogledov: 110; Prenosov: 83
.pdf Celotno besedilo (6,28 MB)
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4.
ADC values as a biomarker of fetal brain maturation
Lucija Kobal, Katarina Šurlan Popović, Jernej Avsenik, Tina Vipotnik-Vesnaver, 2023, izvirni znanstveni članek

Povzetek: Background. During the period of fetal development, myelination plays a key role and follows specific time and spa-tial sequences. The water content in the brain is inversely proportional to myelination – the more myelinated the brain, the lower the water content in it. The diffusion of water molecules can be quantitatively assessed using the apparent diffusion coefficient (ADC). We were interested in whether, by determining the ADC values, we could quantitatively evaluate the development of the fetal brain. Patients and methods. The study included 42 fetuses with gestational age 25 to 35 weeks. We manually selected 13 regions on diffusion-weighted images. Statistically significant differences between ADC values were checked using one-way analysis of variance and Tukey’s post hoc test. The relationship between the ADC values and the gestational age of the fetuses was then assessed using linear regression. Results. The average gestational age of the fetuses was 29.8 ± 2.4 weeks. ADC values in the thalami, pons and cerebellum differed significantly among each other and from the ADC values in other brain regions. In the thalami, pons and cerebellum, linear regression showed a significant decrease in ADC values with increasing gestational age. Conclusions. ADC values change with the increasing gestational age of the fetus and differ among different brain regions. In the pons, cerebellum and thalami, the ADC coefficient could be used as a biomarker of fetal brain matura-tion since ADC values decrease linearly with increasing gestational age.
Ključne besede: myelination, fetal brain maturation, ADC, biomarker, diffusion-weighted imaging, diffusion
Objavljeno v DiRROS: 25.07.2024; Ogledov: 112; Prenosov: 124
.pdf Celotno besedilo (1,41 MB)
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5.
Aberrantly expressed hsa_circ_0060762 and CSE1L as potential peripheral blood biomarkers for ALS
Metka Ravnik-Glavač, Massimo Mezzavilla, Ana Dolinar, Blaž Koritnik, Damjan Glavač, 2023, izvirni znanstveni članek

Povzetek: Amyotrophic lateral sclerosis (ALS) is a rapidly progressive adult-onset neurodegenerative disease that is often diagnosed with a delay due to initial non-specific symptoms. Therefore, reliable and easy-to-obtain biomarkers are an absolute necessity for earlier and more accurate diagnostics. Circular RNAs (circRNAs) have already been proposed as potential biomarkers for several neurodegenerative diseases. In this study, we further investigated the usefulness of circRNAs as potential biomarkers for ALS. We first performed a microarray analysis of circRNAs on peripheral blood mononuclear cells of a subset of ALS patients and controls. Among the differently expressed circRNA by microarray analysis, we selected only the ones with a host gene that harbors the highest level of conservation and genetic constraints. This selection was based on the hypothesis that genes under selective pressure and genetic constraints could have a major role in determining a trait or disease. Then we performed a linear regression between ALS cases and controls using each circRNA as a predictor variable. With a False Discovery Rate (FDR) threshold of 0.1, only six circRNAs passed the filtering and only one of them remained statistically significant after Bonferroni correction: hsa_circ_0060762 and its host gene CSE1L. Finally, we observed a significant difference in expression levels between larger sets of patients and healthy controls for both hsa_circ_0060762 and CSE1L. CSE1L is a member of the importin β family and mediates inhibition of TDP-43 aggregation; the central pathogenicity in ALS and hsa_circ_0060762 has binding sites for several miRNAs that have been already proposed as biomarkers for ALS. In addition, receiver operating characteristics curve analysis showed diagnostic potential for CSE1L and hsa_circ_0060762. Hsa_circ_0060762 and CSE1L thus represent novel potential peripheral blood biomarkers and therapeutic targets for ALS.
Ključne besede: amyotrophic lateral sclerosis, ALS, circRNA, biomarker, peripheral blood biomarker, hsa_circ_0060762, CSE1L, biomedicine
Objavljeno v DiRROS: 12.07.2024; Ogledov: 84; Prenosov: 101
.pdf Celotno besedilo (2,04 MB)
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6.
7.
Identification of plasma biomarker candidates in glioblastoma using an antibody-array-based proteomic approach
Klemen Zupančič, Andrej Blejec, Ana Herman, Matija Veber, Urška Verbovšek, Marjan Koršič, Miomir Knežević, Primož Rožman, Tamara Lah Turnšek, Kristina Gruden, Helena Motaln, 2014, izvirni znanstveni članek

Povzetek: 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.
Ključne besede: glioblastoma, proteomics, biomarker
Objavljeno v DiRROS: 16.04.2024; Ogledov: 449; Prenosov: 396
.pdf Celotno besedilo (620,85 KB)
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8.
MicroRNAs and long non-coding RNAs : prospects in diagnostics and therapy of cancer
Nina Hauptman, Damjan Glavač, 2013, objavljeni znanstveni prispevek na konferenci

Povzetek: Background. Non-coding RNAs (ncRNAs) are key regulatory molecules in cellular processes, and are potentialbiomarkers in many diseases. Currently, microRNAs and long non-coding RNAs are being pursued as diagnostic andprognostic biomarkers, and as therapeutic tools in cancer, since their expression profiling is able to distinguish differentcancer types and classify their sub-types.Conclusions. There are numerous studies confirming involvement of ncRNAs in cancer initiation, development andprogression, but have only been recently identified as new diagnostic and prognostic tools. This can be beneficialin future medical cancer treatment options, since ncRNAs are natural antisense interactors included in regulationof many genes connected to survival and proliferation. Research is directed in development of useful markers fordiagnosis and prognosis in cancer and in developing new RNA-based cancer therapies, of which some are alreadyin clinical trials.
Ključne besede: microRNAs, long non-coding RNAs, biomarker
Objavljeno v DiRROS: 22.03.2024; Ogledov: 287; Prenosov: 193
.pdf Celotno besedilo (381,09 KB)
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9.
Cathepsin X in serum from patients with colorectal cancer: relation to prognosis
Tjaša Vižin, Ib Jarle Christensen, Hans Jørgen Nielsen, Janko Kos, 2012, izvirni znanstveni članek

Povzetek: Background. Up-regulation of lysosomal cysteine protease cathepsin X (Cat X) is associated with disorders of the immune system and neurodegenerative diseases, while its role in the development and progression of cancer is less understood. Enhanced secretion of pro-Cat X was observed in malignant processes, and therefore, the level of total serum Cat X rather than the active enzyme may better reflect the tumour status. Patients and methods. Seventy-seven patients with colorectal cancer (CRC) were included in a retrospective study. Blood samples were collected prior to therapy. Using ELISA, the values of total Cat X were measured in serum. Groups of healthy persons (n=77), patients with adenomas (n=77) and patients with non-neoplastic findings (n=77) were included. Results. Significant differences between the group of colorectal patients and the groups of healthy persons, adenoma patients and patients with non-malignant findings could not be shown (p=0.89). Within the group of CRC, higher levels of total Cat X significantly correlated to shorter overall survival (HR=2.08, 95% CI:1.07-4.05, p=0.028). Conclusions. Total serum Cat X could be a useful prognostic indicator for determining survival of patients with CRC. Increased serum levels of total CatX may reflect more aggressive tumour cell phenotypes and suggest the involvement of Cat X in processes involved in later stages of tumour progression.
Ključne besede: cysteine cathepsins, cathepsin X, colorectal cancer, prognosis, serum biomarker
Objavljeno v DiRROS: 21.03.2024; Ogledov: 263; Prenosov: 129
.pdf Celotno besedilo (360,31 KB)
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10.
Dynamic contrast-enhanced MRI of malignant pleural mesothelioma : a comparative study of pharmacokinetic models and correlation with mRECIST criteria
Martina Vivoda Tomšič, Sotirios Bisdas, Viljem Kovač, Igor Serša, Katarina Šurlan Popović, 2019, izvirni znanstveni članek

Povzetek: BACKGROUND: Malignant pleural mesothelioma (MPM) is a rare and aggressive thoracic malignancy that is difficult to cure. Dynamic contrast-enhanced (DCE) MRI is a functional imaging technique used to analyze tumor microvascular properties and to monitor therapy response. Purpose of this study was to compare two tracer kinetic models, the extended Tofts (ET) and the adiabatic approximation tissue homogeneity model (AATH) for analysis of DCE-MRI and examine the value of the DCE parameters to predict response to chemotherapy in patients with MPM. METHOD: This prospective, longitudinal, single tertiary radiology center study was conducted between October 2013 and July 2015. Patient underwent DCE-MRI studies at three time points: prior to therapy, during and after cisplatin-based chemotherapy. The images were analyzed using ET and AATH models. In short-term follow-up, the patients were classified as having disease control or progressive disease according to modified response evaluation criteria in solid tumors (mRECIST) criteria. Receiver operating characteristic curve analysis was used to examine specificity and sensitivity of DCE parameters for predicting response to therapy. Comparison tests were used to analyze whether derived parameters are interchangeable between the two models. RESULTS: Nineteen patients form the study population. The results indicate that the derived parameters are not interchangeable between the models. Significant correlation with response to therapy was found for AATH-calculated median pre-treatment efflux rate (kep) showing sensitivity of 83% and specificity of 100% (AUC 0.9). ET-calculated maximal pre-treatment kep showed 100% sensitivity and specificity for predicting treatment response during the early phase of the therapy and reached a favorable trend to significant prognostic value post-therapy. CONCLUSION: Both models show potential in predicting response to therapy in MPM. High pre-treatment kep values suggest MPM disease control post-chemotherapy.
Ključne besede: biomarker, magnetic resonance imaging, mesothelioma, perfusion, response evaluation criteria in solid tumors, prognosis
Objavljeno v DiRROS: 23.09.2020; Ogledov: 1460; Prenosov: 1055
.pdf Celotno besedilo (3,44 MB)
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