Daina Skiriutė

Dr. Daina Skiriutė

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 April 2016 in Diagnostic Pathology
Verified
Journal Article
Open access
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GSGiedrius Steponaitis
Giedrius Steponaitis
DSDaina Skiriutė
Daina Skiriutė
AKArunas Kazlauskas
Arunas Kazlauskas
IGIeva Golubickaite
Ieva Golubickaite
Rytis StakaitisRytis Stakaitis
Rytis Stakaitis
PVPaulina Vaitkiene
Paulina Vaitkiene
Survival of glioma patients with the same tumor histology and grade can vary significantly, and some low-grade gliomas transform to a more malignant phenotype. There is a need of molecular signatures, which are better predictors of the patient diagnosis, outcome of treatment, and prognosis than the diagnosis provided by histopathology. We propose CHI3L1 mRNA expression as a prognostic biomarker for patients with glioma. We measured CHI3L1 expression with quantitative real time-polymerase chain reaction (qRT-PCR) in the cohort of 98 patients with different grade glioma: 10 grade I pylocytic astrocytomas, 30 grade II diffuse astrocytomas, 20 grade III anaplastic astrocytomas, and 38 grade IV astrocytomas (glioblastomas). Statistical analyses were conducted to investigate the association between CHI3L1 mRNA expression levels and patient clinical variables. We demonstrated that mRNA expression of CHI3L1 was evidently higher in glioblastoma than in lower grade glioma tissues. We evaluated correlations between CHI3L1 expression, clinicopathological characteristics, and the outcomes of the patients. Patients with high CHI3L1 expression had a shorter overall survival (p < 0.001). Findings presented in our study showed that increased mRNA level of CHI3L1 could be associated with the progression of astrocytoma and poor patient survival not only for glioblastoma, but for lower grade astrocytoma tumors as well. Further investigation will be required to evaluate CHI3L1 value as a molecular marker for astrocytoma prognoses and for novel treatment strategies against all grade astrocytomas.

6 June 2012 in BMC Cancer
Verified
Journal Article
Open access
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DSDaina Skiriutė
Daina Skiriutė
PVPaulina Vaitkiene
Paulina Vaitkiene
VSViktoras Saferis
Viktoras Saferis
VAVirginija Asmoniene
Virginija Asmoniene
KSKestutis Skauminas
Kestutis Skauminas
ATArimantas Tamasauskas
Arimantas Tamasauskas
Methylation of promoter region is the major mechanism affecting gene expression in tumors. Recent methylome studies of brain tumors revealed a list of new epigenetically modified genes. Our aim was to study promoter methylation of newly identified epigenetically silenced genes together with already known epigenetic markers and evaluate its separate and concomitant role in glioblastoma genesis and patient outcome.

28 April 2013 in Journal of Neuro-Oncology
Verified
Journal Article
Closed access
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DSDaina Skiriutė
Daina Skiriutė
PVPaulina Vaitkienė
Paulina Vaitkienė
VAVirginija Ašmonienė
Virginija Ašmonienė
GSGiedrius Steponaitis
Giedrius Steponaitis
VDVytenis Pranas Deltuva
Vytenis Pranas Deltuva
ATArimantas Tamašauskas
Arimantas Tamašauskas

1 April 2019 in Scientific Reports
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Journal Article
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BMBernadeta Masiulionytė
Bernadeta Masiulionytė
IVIndrė Valiulytė-Simaitė
Indrė Valiulytė-Simaitė
ATArimantas Tamašauskas
Arimantas Tamašauskas
DSDaina Skiriutė
Daina Skiriutė
Gliomas are heterogeneous, primary brain tumours that originate from glial cells. The main type of gliomas is astrocytomas. There are four grades (I-IV) of astrocytoma malignancy. Astrocytoma grade IV known as glioblastoma multiforme (GBM) is the most common and aggressive type of astrocytic gliomas. Metallothioneins (MT) are low molecular weight, cysteine rich proteins encoded by a family of metallothionein (MT) genes. MT genes play a crucial role in carcinogenesis of diverse malignancies. We proposed MT genes as prognostic markers for malignant astrocytoma. MT1A, MT1E, MT1X, MT2, MT3 gene expression was elevated in grade IV astrocytomas (glioblastomas) as compared to astrocytomas grade I-III. Statistically significant differences were reached for MT1A and MT2 genes (Mann-Whitney test, p < 0.05). High MT1A, MT1X, MT2, MT3 genes expression was associated with shorter patient survival (Log-rank test, p < 0.05). MT1A gene promoter methylation was decreased in glioblastoma (57.6%) while the gene was highly methylated in grade II-III astrocytoma (from 66.7% to 83.3%) and associated with better patient survival (p < 0.05). MT1A gene methylation showed a trend of being associated with higher mRNA expression level in astrocytomas. Increased MT genes expression in grade IV astrocytomas as compared to I-III grade astrocytomas could be associated with malignant tumour behaviour and progression.

4 July 2010 in Journal of Neuro-Oncology
Verified
Journal Article
Closed access
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DSDaina Skiriutė
Daina Skiriutė
STSarunas Tamasauskas
Sarunas Tamasauskas
VAVirginija Asmoniene
Virginija Asmoniene
VSViktoras Saferis
Viktoras Saferis
KSKestutis Skauminas
Kestutis Skauminas
ATArimantas Tamasauskas
Arimantas Tamasauskas

2 June 2015 in Diagnostic Pathology
Verified
Journal Article
Open access
PDF file
PVPaulina Vaitkiene
Paulina Vaitkiene
DSDaina Skiriutė
Daina Skiriutė
GSGiedrius Steponaitis
Giedrius Steponaitis
KSKęstutis Skauminas
Kęstutis Skauminas
ATArimantas Tamašauskas
Arimantas Tamašauskas
AKArunas Kazlauskas
Arunas Kazlauskas
Malignant gliomas are characterized by the tendency of cancerous glial cells to infiltrate into normal brain tissue, thereby complicating targeted treatment of this type of cancer. Recent studies suggested involvement of Sema3C (semaphorin 3C) protein in tumorigenesis and metastasis in a number of cancers. The role of Sema3C in gliomagenesis is currently unclear. In this study, we investigated how expression levels of Sema3C in post-operative glioma tumors are associated with the malignancy grade and the survival of the patient. Western blot analysis was used for detection of Sema3C protein levels in 84 different grade glioma samples: 12 grade I astrocytomas, 30 grade II astrocytomas, 17 grade III astrocytomas, and 25 grade IV astrocytomas (glioblastomas). Sema3C mRNA levels in gliomas were analysed by real-time PCR. Several statistical methods have been used to investigate associations between Sema3C protein and mRNA levels and clinical variables and survival outcome. The results demonstrated that protein levels of Sema3C were markedly increased in glioblastomas compared to grade I-III astrocytoma tissues and were significantly associated with the shorter overall survival of patients. High accumulation of Sema3C positively associated with the age of patients and pathological grade, but did not correlate with patient’s gender. Sema3C mRNA levels showed no association with either grade of glioma or patient survival. The data presented in this work suggest that the increased levels of Sema3C protein may be associated with the progression of glioma tumor and has a potential as a prognostic marker for outcome of glioma patients. The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1564066714158642