A5062758773- Cancer Genomics and Diagnostics
- Epigenetics and DNA Methylation
- Ferroptosis and cancer prognosis
- Cancer Immunotherapy and Biomarkers
- Immunotherapy and Immune Responses
- Cutaneous Melanoma Detection and Management
- Molecular Biology Techniques and Applications
- CAR-T cell therapy research
- Renal cell carcinoma treatment
- Gene expression and cancer classification
- Peptidase Inhibition and Analysis
- Cancer, Lipids, and Metabolism
- Pancreatitis Pathology and Treatment
- Nonmelanoma Skin Cancer Studies
- Histone Deacetylase Inhibitors Research
- COVID-19 and healthcare impacts
- Ubiquitin and proteasome pathways
- Melanoma and MAPK Pathways
- Bioinformatics and Genomic Networks
- Diabetes Treatment and Management
- vaccines and immunoinformatics approaches
- Cell Image Analysis Techniques
- Neuroendocrine Tumor Research Advances
- CRISPR and Genetic Engineering
- Metabolism, Diabetes, and Cancer
Semmelweis University
2019-2025
HUN-REN Research Centre for Natural Sciences
2020-2024
Institute of Molecular Life Sciences
2019-2023
Institute for Systems Biology
2023
Genes showing higher expression in either tumor or metastatic tissues can help better understanding formation and serve as biomarkers of progression potential therapy targets. Our goal was to establish an integrated database using available transcriptome-level datasets create a web platform which enables the mining this by comparing normal, data across all genes real time. We utilized generated gene arrays from Gene Expression Omnibus National Center for Biotechnology Information (NCBI-GEO)...
Antibody-drug conjugates (ADCs) are a rapidly expanding class of compounds in oncology. Our goal was to assess the expression ADC targets and potential downstream determining factors activity across pan-cancer normal tissues.
ABSTRACT Genes showing higher expression in either tumor or metastatic tissues can help better understanding formation, and serve as biomarkers of progression therapy targets with minimal off-target effects. Our goal was to establish an integrated database using available transcriptome-level datasets create a web-platform enabling mining this by comparing normal, data across all genes real time. We utilized generated gene arrays RNA-seq. Gene array were manually selected from NCBI-GEO. RNA...
Background: After the outbreak of corona virus disease-19 (COVID-19) pandemic, teledermatology was implemented in Hungarian public healthcare system for first time. Our objective to assess aggregated diagnostic agreements and determine effectiveness an asynchronous skin cancer screening. Methods: This retrospective single-center study included cases submitted consultation during wave COVID-19 pandemic. Follow-up patients performed collect results any subsequent personal examination. Results:...
The utilization of PD1 and CTLA4 inhibitors has revolutionized the treatment malignant melanoma (MM). However, resistance to targeted immune-checkpoint-based therapies still poses a significant problem.
Breslow thickness is a major prognostic factor for melanoma. It based on histopathological evaluation, and thus it not available to aid clinical decision making at the time of initial melanoma diagnosis. In this work, we assessed efficacy multispectral imaging (MSI) predict developed classification algorithm determine optimal safety margins excision. First, excluded nevi from analysis with novel quantitative parameter. Parameter s' could differentiate melanomas sensitivity 89.60% specificity...
Clear cell renal carcinoma is the most frequent type of kidney cancer, with an increasing incidence rate worldwide. In this research, we used a proteotranscriptomic approach to differentiate normal and tumor tissues in clear (ccRCC). Using transcriptomic data patients malignant paired tissue samples from gene array cohorts, identified top genes over-expressed ccRCC. We collected surgically resected ccRCC specimens further investigate results on proteome level. The differential protein...
Abstract Metastasis, a complex, multistep process, is responsible for the overwhelming majority of cancer-related deaths. Despite its devastating consequences, it not possible to effectively treat cancer that has spread vital organs, mechanisms leading metastasis are still poorly understood, and catalog promoting genes incomprehensive. To identify new driver development, we performed an in vitro Sleeping Beauty transposon-based forward genetic screen nonmetastatic SKBR3 human breast cells....
Abstract The utilization of PD1 and CTLA4 inhibitors has revolutionized the treatment malignant melanoma (MM). However, resistance to targeted immune-checkpoint-based therapies still poses a significant problem. Here we mine large scale MM proteogenomic data integrating it with cell line dependency screen, drug sensitivity identify druggable targets forecast efficacy resistance. Leveraging protein profiles from established subtypes molecular structures 82 cancer drugs, identified nine...
Abstract While Immune checkpoint inhibition (ICI) therapy shows significant efficacy in metastatic melanoma, only about 50% respond, lacking reliable predictive methods. We introduce a panel of six proteins aimed at predicting response to ICI therapy. Evaluating previously reported two untreated melanoma cohorts, we used published model (EaSIeR score) identify potential distinguishing responders and non-responders. Six initially identified the cohort correlated with predicted cohort....
Introduction While Immune checkpoint inhibition (ICI) therapy shows significant efficacy in metastatic melanoma, only about 50% respond, lacking reliable predictive methods. We introduce a panel of six proteins aimed at predicting response to ICI therapy. Methods Evaluating previously reported two untreated melanoma cohorts, we used published model (EaSIeR score) identify potential distinguishing responders and non-responders. Results Six initially identified the cohort correlated with...
Supplementary Figure from <i>In Vitro</i> Insertional Mutagenesis Screen Identifies Novel Genes Driving Breast Cancer Metastasis
Supplementary Data from <i>In Vitro</i> Insertional Mutagenesis Screen Identifies Novel Genes Driving Breast Cancer Metastasis
Supplementary Data from <i>In Vitro</i> Insertional Mutagenesis Screen Identifies Novel Genes Driving Breast Cancer Metastasis
Supplementary Data from <i>In Vitro</i> Insertional Mutagenesis Screen Identifies Novel Genes Driving Breast Cancer Metastasis
Supplementary Data from <i>In Vitro</i> Insertional Mutagenesis Screen Identifies Novel Genes Driving Breast Cancer Metastasis
Supplementary Data from <i>In Vitro</i> Insertional Mutagenesis Screen Identifies Novel Genes Driving Breast Cancer Metastasis
Abstract Introduction: Clear cell renal carcinoma is the most frequent form of malignancy, with an increasing incidence rate worldwide. In this study we used a multi-omic approach to differentiate normal and tumor tissues in clear Renal Cell Carcinoma (ccRCC). Methods: Using transcriptomic data patients malignant adjacent tissue samples from gene chip RNA-Seq cohorts, identified top genes over-expressed ccRCC. We collected surgically resected ccRCC specimens further investigate results on...
<ns3:p><ns3:bold>Background </ns3:bold>Gene co-expression correlations frequently signal shared biological functions with coordinated regulation. We hypothesized that maintained might be essential for cellular survival, representing potential vulnerabilities of cancer cells. aimed to reveal preserved in pancreatic ductal adenocarcinomas (PDAC) across normal and tumor tissues.</ns3:p><ns3:p> <ns3:bold>Methods:</ns3:bold> searched the NCBI GEO raw microarray data TCGA project RNA-seq data. The...
<div>Abstract<p>Metastasis, a complex, multistep process, is responsible for the overwhelming majority of cancer-related deaths. Despite its devastating consequences, it not possible to effectively treat cancer that has spread vital organs, mechanisms leading metastasis are still poorly understood, and catalog promoting genes incomprehensive. To identify new driver development, we performed an <i>in vitro</i> Sleeping Beauty transposon-based forward genetic screen in...
<div>Abstract<p>Metastasis, a complex, multistep process, is responsible for the overwhelming majority of cancer-related deaths. Despite its devastating consequences, it not possible to effectively treat cancer that has spread vital organs, mechanisms leading metastasis are still poorly understood, and catalog promoting genes incomprehensive. To identify new driver development, we performed an <i>in vitro</i> Sleeping Beauty transposon-based forward genetic screen in...
Supplementary Data from <i>In Vitro</i> Insertional Mutagenesis Screen Identifies Novel Genes Driving Breast Cancer Metastasis