János Bencze

Dr. János Bencze

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Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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23 December 2021 in Biomolecules
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Journal Article
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JBJános Bencze
János Bencze
MSMáté Szarka
Máté Szarka
BKBalázs Kóti
Balázs Kóti
WSWoosung Seo
Woosung Seo
THTibor G. Hortobágyi
Tibor G. Hortobágyi
THTibor Hortobágyi
Tibor Hortobágyi
Semi-quantitative scoring is a method that is widely used to estimate the quantity of proteins on chromogen-labelled immunohistochemical (IHC) tissue sections. However, it suffers from several disadvantages, including its lack of objectivity and the fact that it is a time-consuming process. Our aim was to test a recently established artificial intelligence (AI)-aided digital image analysis platform, Pathronus, and to compare it to conventional scoring by five observers on chromogenic IHC-stained slides belonging to three experimental groups. Because Pathronus operates on grayscale 0-255 values, we transformed the data to a seven-point scale for use by pathologists and scientists. The accuracy of these methods was evaluated by comparing statistical significance among groups with quantitative fluorescent IHC reference data on subsequent tissue sections. The pairwise inter-rater reliability of the scoring and converted Pathronus data varied from poor to moderate with Cohen’s kappa, and overall agreement was poor within every experimental group using Fleiss’ kappa. Only the original and converted that were obtained from Pathronus original were able to reproduce the statistical significance among the groups that were determined by the reference method. In this study, we present an AI-aided software that can identify cells of interest, differentiate among organelles, protein specific chromogenic labelling, and nuclear counterstaining after an initial training period, providing a feasible and more accurate alternative to semi-quantitative scoring.

10 April 2018 in Molecular Brain
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Journal Article
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JBJános Bencze
János Bencze
GMGábor Miklós Mórotz
Gábor Miklós Mórotz
WSWoosung Seo
Woosung Seo
VBViktor Bencs
Viktor Bencs
KJKálmán János
Kálmán János
THTibor Hortobágyi
Tibor Hortobágyi
Neurodegenerative disorders are frequent, incurable diseases characterised by abnormal protein accumulation and progressive neuronal loss. Despite their growing prevalence, the underlying pathomechanism remains unclear. Lemur tyrosine kinase 2 (LMTK2) is a member of a transmembrane serine/threonine-protein kinase family. Although it was described more than a decade ago, our knowledge on LMTK2’s biological functions is still insufficient. Recent evidence has suggested that LMTK2 is implicated in neurodegeneration. After reviewing the literature, we identified three LMTK2-mediated mechanisms which may contribute to neurodegenerative processes: disrupted axonal transport, tau hyperphosphorylation and enhanced apoptosis. Moreover, LMTK2 gene expression is decreased in an Alzheimer’s disease mouse model. According to these features, LMTK2 might be a promising therapeutic target in near future. However, further investigations are required to clarify the exact biological functions of this unique protein.

1 January 2016 in Folia Neuropathologica
Verified
Journal Article
Open access
TCTamás Csonka
Tamás Csonka
BMBalazs Murnyak
Balazs Murnyak
RSRita Szepesi
Rita Szepesi
JBJános Bencze
János Bencze
LBLaszlo Bognar
Laszlo Bognar
THTibor Hortobágyi
Tibor Hortobágyi
Although tumour recurrence is an important and not infrequent event in meningiomas, predictive immunohistochemical markers have not been identified yet. The aim of this study was to address this clinically relevant problem by systematic retrospective analysis of surgically completely resected...

21 December 2022 in Diagnostics
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LMLászló Módis
László Módis
ZAZsofia Aradi
Zsofia Aradi
IHIldikó Fanny Horváth
Ildikó Fanny Horváth
JBJános Bencze
János Bencze
TPTamas Papp
Tamas Papp
ASAntónia Szántó
Antónia Szántó
Central nervous system (CNS) involvement is one of the numerous extraglandular manifestations of primary Sjögren’s syndrome (pSS). Moreover, neurological complaints precede the sicca symptoms in 25–60% of the cases. We review the magnetic resonance imaging (MRI) lesions typical for pSS, involving the conventional examination, volumetric and morphometric studies, diffusion tensor imaging (DTI) and resting-state fMRI. The most common radiological lesions in pSS are white matter hyperintensities (WMH), scattered alterations hyperlucent on T2 and FLAIR sequences, typically located periventricularly and subcortically. Cortical atrophy and ventricular dilatation can also occur in pSS. Whilst these conditions are thought to be more common in pSS than healthy controls, DTI and resting-state fMRI alterations demonstrate evident microstructural changes in pSS. As pSS is often accompanied by cognitive symptoms, these MRI alterations are expectedly related to them. This relationship is not clearly delineated in conventional MRI studies, but DTI and resting-state fMRI examinations show more convincing correlations. In conclusion, the CNS manifestations of pSS do not follow a certain pattern. As the link between the MRI lesions and clinical manifestations is not well established, more studies involving larger populations should be performed to elucidate the correlations.

7 February 2019 in BioMed Research International
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Peter A. GergelyPeter A. Gergely
Peter A. Gergely
BMBalazs Murnyak
Balazs Murnyak
JBJános Bencze
János Bencze
AKAndrea Kurucz
Andrea Kurucz
TVTimea Varjas
Timea Varjas
THTibor Hortobágyi
Tibor Hortobágyi
Tyrosine kinases play crucial roles in cellular development and tumorigenesis. Tyrosine kinase inhibitors (TKIs) are effective and widely used drug molecules in targeted cancer therapies. Altered expressions of protooncogenes and tumor suppressor genes after DMBA (7,12-dimethylbenz[a]anthracene) treatment have been described as early markers of tumor induction; however their tissue-specific effects remain still unclear. Our study was aimed at examining the short-term possible antineoplastic and chemopreventive effects of a TKI compound (imatinib mesylate) on a DMBA-induced mouse tumor model. In addition, we also investigated the tissue-specific expressions ofHras, Kras, Myc,andTrp53genes in the brain, bone marrow, spleen, liver, abdominal lymph nodes, thymus, lungs, and kidneys, respectively. 24 hours after the imatinib mesylate injection, we observed significantKrasdownregulation in the bone marrow and lung of the DMBA-treated mice. Moreover, the mRNA expression ofMycwas also found to be decreased significantly in the spleen. Interestingly, whileTrp53expression was significantly increased in the lung, it was decreased in the other tissues. However, there was also a tendency in the decreasedMyclevel in the bone marrow, brain, kidneys, lungs, and lymph nodes and in the decreasedHraslevel in the bone marrow, kidneys, and lungs, although no significant differences were observed. Our findings indicate rapid tissue-specific impact of imatinib mesylate on DMBA-induced gene expressionin vivo,supporting the chemopreventive potential of imatinib mesylate in cancer.

27 January 2020 in Brain Sciences
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Journal Article
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JBJános Bencze
János Bencze
MSMáté Szarka
Máté Szarka
VBViktor Bencs
Viktor Bencs
RSRenáta Nóra Szabó
Renáta Nóra Szabó
LMLászló V. Módis
László V. Módis
THTibor Hortobágyi
Tibor Hortobágyi
Alzheimer’s disease (AD) is the most common neurodegenerative dementia. Mapping the pathomechanism and providing novel therapeutic options have paramount significance. Recent studies have proposed the role of LMTK2 in AD. However, its expression pattern and association with the pathognomonic neurofibrillary tangles (NFTs) in different brain regions and neuropathological stages of AD is not clear. We performed chromogenic (CHR) LMTK2 and fluorescent phospho-tau/LMTK2 double-labelling (FDL) immunohistochemistry (IHC) on 10–10 postmortem middle frontal gyrus (MFG) and anterior hippocampus (aHPC) samples with early and late neuropathological Braak tau stages of AD. MFG in early stage was our ‘endogenous control’ region as it is not affected by NFTs. Semiquantitative CHR-IHC intensity scoring revealed significantly higher (p < 0.001) LMTK2 values in this group compared to NFT-affected regions. FDL-IHC demonstrated LMTK2 predominance in the endogenous control region, while phospho-tau overburden and decreased LMTK2 immunolabelling were detected in NFT-affected groups (aHPC in early and both regions in late stage). Spearman’s correlation coefficient showed strong negative correlation between phospho-tau/LMTK2 signals within each group. According to our results, LMTK2 expression is inversely proportionate to the extent of NFT pathology, and decreased LMTK2 level is not a general feature in AD brain, rather it is characteristic of the NFT-affected regions.