Laboratory of Neurooncology and Genetics
Adress:Laboratory of Neurooncology and GeneticsNeuroscience InstituteLithuanian University of Health SciencesEiveniu st. 4Kaunas LT-50161Lithuania Phone: +370 37 326769Fax: +370 37 795482
Head of Laboratory:
Kęstutis Skauminas, M.D., PhD
Phone +370 37 326883
prof. Vytenis Pranas Deltuva, M.D. PhD, firstname.lastname@example.org
Daina Skiriutė, PhD, email@example.com
Arūnas Kazlauskas, PhD, firstname.lastname@example.org
Paulina Vaitkienė, PhD, email@example.com
Giedrius Steponaitis, firstname.lastname@example.org
Rūta Urbanavičiūtė, PhD student, email@example.com
Indrė Valiulytė, PhD student, firstname.lastname@example.org
Jūratė Žeglienė, email@example.com
Gabriela Makulytė, firstname.lastname@example.org
Laboratory short history
The Laboratory of Neurosciences was established on April 28th 1978, as a sub-division of the Oncology Scientific-Research Institute, Ministry of Health Care. The task of Laboratory was to organize additional scientific research to analyze the central regulation of brain and systematic blood circulation. In the structure of Oncology Institute, it was referred to as the Nervous System Surgery Department while Department of Neurosurgery of Kaunas Medicine Institute Clinics was appointed as its clinical basis. In due course, namely in 1982, the Laboratory moved from Oncology Institute to Central Scientific-Research Laboratory of Kaunas Medicine Institute and was renamed into Nervous System Surgery Laboratory. In 2005 the Laboratory was renamed into the Laboratory of Neurosciences and in 2011, after reorganisation, Laboratory got the name of Neurooncology and Genetics, and functions in the structure of Neuroscience Institute of Lithuanian University of Health Sciences.
Title: Research on molecular markers and etiopathogenesis of rare CNS diseases for optimisation of diagnosing and treatment
The main trends of research work are: research of clinical, etiopathogenetic, radiological factors, playing a decisive role in the course of CNS tumours and the accumulation of pathological material for the investigation for new combinations of clinical genetic and epigenetic markers in diagnosis and prognosis, research on diagnostic molecular markers in glioblastoma and pituitary adenoma, optimisation of the surgical diagnosing of cerebral gliomas using innovative optical technologies.
The main goal of these studies is to estimate the complex of molecular markers and clinical factors valuable for rare CNS diseases diagnosis and prognosis, to identify molecular factors that are responsible for the initiation of cancerogenesis in CNS cells and to evaluate the possibilities of combination of intraoperative tissue identification methods by segmentation of intraoperative magnetic resonance, 3D ultrasound and fluorescence images for optimal visualization of brain tumours.
Objectives: with the use of cell culturing facilities, to develop procedures necessary for isolation, cultivation and identification of glioma tumour stem cells (GTSC) and by using a number of molecular biology techniques such as Western blot analysis, real-time PCR, and protein co-precipitation, to investigate the composition of transcription regulatory complexes of genes that determine invasiveness of GTSCs. Research on epigenetic alterations (DNA methylation, chromatine modifications, miRNAs, etc.) of genes associated with oncogenesis, invasion and resistance to therapy of glioblastoma; research on association between gene epigenetic alterations and gene expression (at mRNA and protein level) in glioblastoma tissue; investigation of the influence on certain gene expression and function of epigenetic promoter alterations (DNA methylation, chromatine remodeling), caused by in vitro manipulating cell culture; selection on the relevance of epigenetic alterations and gene expression diagnostically meaningful genes or gene complexes in glioblastoma and pituitary adenoma.Employing three imaging modalities there will be created methodology for coregistration of 3D interlinked information. There will be investigated methods for quantification and segmentation of FS, US and MRI images. Processing of interrelated images is planned to implement in optimised algorithms to support tissue discrimination.
The information and experience obtained from this research could be used for developing new diagnostic methods and developing a methodology for the search for new therapeutic agents against rare CNS diseases.
2017-2020 – project No S-MIP-17-108 "The prognostic value of miRNA classifier as a novel tool for prediction of glioma patient outcome and response to therapy", funded by the Research Council of Lithuania, dr. P. Vaitkienė
2015-2018 – collaboration in the project No SEN-07/2015 „Novel systems of prodrug activation for the cancer gene therapies“, funded by the Research Council of Lithuania
2015-2018 – project "Healthy and patients with age-related macular degeneration new genetic and metabolomic biomarkers search", funded by the Research Council of Lithuania
2015-2018 – project GlioProSer "Quantitative serum profiles estimation of proteins related to glioma angiogenesis and invasiveness”, funded by the Research Council of Lithuania
2015-2016 – collaboration in EU Horizon 2020 project No 664339 HEALTH-TECH “Centre of Excellence in Science and Technology for Healthy Ageing"
2014-2016 – contribute in the project MIP-008/2014 "New molecular prognostic markers search in pituitary adenomas and associations with visual functions", funded by the Research Council of Lithuania
2014-2015 – collaboration in the Lithuanian-Ukrainian project "Identification and characterization of novel biomarkers for human glial tumors"
2012-2015 – contribute in the Global grant project* VP1-3.1-ŠMM-07-K-02-060 „Gene-Environment Interactions Connecting Low Triiodothyronine Syndrome and Outcomes of Cardiovascular Disease (GET-VASC)” (leaded by habil.dr. R.Bunevičius)
2012-2014 – project LIG-12003 "Gene expression and function-based identification of biomarkers for diagnosis of glioma malignancies", funded by the Research Council of Lithuania
|2017 - 2011 main publications (63,95 KB)|
Updated on 2th October 2017