1. 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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2. 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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3. 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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