Research topics

  1. Survival analysis in cancer. Our main goal is to develop tools to link cancer survival, therapy response, and mutations to gene expression-based mono- or multigenic prognostic and predictive signatures. We participate in international collaborations aiming at the validation of identified prognostic and predictive signatures.
  1. Bioinformatic data analysis. We develop tools for automated analysis of cancer-related datasets with straightforward statistical options. Our tools include both database-based and statistical platforms. In addition, we also provide statistical analysis for our collaboration partners.

National collaborations

  • HUN-REN Biological Research Centre, Szeged
  • HUN-REN Institute of Organic Chemistry, Budapest
  • Semmelweis University, Budapest

International collaborations

  • University of South Carolina, USA
  • John Hopkins, Baltimore, USA
  • Yale Cancer Center, New Haven, USA
  • Stanford University, USA
  • University of Michigan, USA
  • Charité Berlin, Germany
  • University of Frankfurt, Germany
  • ICREA, Spain
  • Imperial College, London, UK
  • University of Manchester, UK
  • Imperial College, London, UK
  • Medical University of Vienna, Austria
  • University of Lyon, France
  • Okayama University, Japan
  • Peking University, China


Google scholar:

ELIXIR Hungary

ELIXIR is a European Research Infrastructure for bioinformatics. The Hungarian Node is led by the RCNS, and the Head of Node is Dr. Balazs Győrffy. The homepage of ELIXIR Hungary is available at

Group Leader

Dr. Balázs Győrffy +361-382-6722 Oncology Biomarker Research Group D3.11A


Name Phone Group Room
Dr. Otília Menyhárt +361-382-6745 Oncology Biomarker Research Group É3.05B
Dr.  Gyöngyi Munkácsy +361/382-6745 Oncology Biomarker Research Group É3.05B
Dr. János Tibor Fekete +361/382-6745 Oncology Biomarker Research Group É3.05B
Ankita Murmu
+361/382-6745 Oncology Biomarker Research Group É3.10A
Szonja Anna Kovács +361/382-6745 Oncology Biomarker Research Group É3.10A
Zsuzsa Makovsky
+361/382-6745 Oncology Biomarker Research Group É3.10A
Zsófia Dobolyi  
+361/382-6745 Oncology Biomarker Research Group É3.10A
Dorka György
+361/382-6745 Oncology Biomarker Research Group É3.10A


Kovács S.A., Győrffy B. Transcriptomic datasets of cancer patients treated with immune-checkpoint inhibitors: a systematic review. J Transl Med 2022;20:249 doi: 10.1186/s12967-022-03409-4

Müller D., Győrffy B. DNA methylation-based diagnostic, prognostic, and predictive biomarkers in colorectal cancer, Biochimica et Biophysica Acta (BBA) – Reviews on Cancer 2022;1877(3):188722 doi: 10.1016/j.bbcan.2022.188722

Lánczky A., Győrffy B. Web-Based survival analysis tool tailored for medical research (KMplot): development and implementation, J Med Internet Res 2021;23(7):e27633 doi: 10.2196/27633

Menyhart O., Weltz B., Győrffy B. A tool for life science researchers for multiple hypothesis testing correction, PLoS ONE 2021;16(6): e0245824 doi: 10.1371/journal.pone.0245824

Bartha Á., Győrffy B. A Web Tool for the Comparison of Gene Expression in Normal, Tumor and Metastatic Tissues. International Journal of Molecular Sciences 2021;22(5): 2622 doi: 10.3390/ijms22052622