PhD Scientific Days 2020

Molecular Sciences II. Lectures

Adaptive Responses of Biological Networks During the Evolution of Cancer and Drug Resistance

Előadó neve

Dr. Borbála, Kovács

Előadó munkahelye

Semmelweis University

Előadó telefonszáma

06202506473

Előadó e-mail címe

kovacsborbala5@gmail.com

Az előadás címe

Adaptive Responses of Biological Networks During the Evolution of Cancer and Drug Resistance

Szerző(k) neve és munkahelye

Borbála Kovács MD, Department of Medical Chemistry, Molecular Biology and Pathobiochemistry/ Semmelweis University, Budapest

Szekció

Molecular Sciences II. Lectures

Language of the presentation

English

Section, first choice

Molecular Sciences

Section, second choice

Pathology and Oncology

Összefoglaló szövege

Despite enormous research efforts, cancer is still among the main causes of mortality worldwide. There is an increasing need for new scientific methods for a better understanding of the disease, and to improve the efficiency of drug development. Network science is an emerging tool in systems biology and oncology, with which cells can be modelled as protein-protein interaction networks. In my work I collaborate with the Urology Clinic of Semmelweis University to study the oncogenesis of prostate cancer as well as the development of drug resistance to docetaxel, enzalutamide and abiraterone with comparative network topological analysis.
My aim is to create a new method to identify the structural changes and find those otherwise unseen, cardinally important nodes that have an organizing role in the evolution of cancer and therefore can be new therapeutic targets.
In the network models used nodes represent proteins, and the edges display the interactions of proteins. Edge weights represent the probability of the interaction calculated as the product of the protein abundance in the proteomic data. Based on our data, three different phenotypic networks can be created: a) normal healthy cells, b) drug sensitive cancer cells and c) drug resistant cancer cells. My main topological interests are the modular structure, especially the inter-modular bridge nodes that have a crucial role regarding the information transfer, hubs, and the core-periphery structure of the network. I use Cytoscape and its two plugins, ModuLand and EntOpt, which both were developed by our research group, as well as Metascape, a recently published online tool and Gene Ontology for functional annotation and statistical enrichment analysis. NetworkX, a package for Python provides additional topological parameters.
The data has been examined on several signalling and protein-protein interaction networks, such as the Human Cancer Signalling Network, the ComPPI database, the Pathway Commons resource, OmniPath database, the Reactome, and the STRING database. The best fitting networks have been chosen for analysis, based on the method of my former work on colorectal carcinoma.
The initial results correlate well with the recently published literature findings and provide additional information about the characteristics of enzalutamide sensitive and resistant prostate cancer at the systems level.

Additional Information

Prof. Peter Csermely
csermelynet@gmail.com

Bemutatás módja

Szóbeli

Kind

Szabad

Status

elfogadva

Accepted presentation method

szóbeli

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

4707

Start

11:50

End

12:05

Authors (legacy)

Borbála Kovács MD, Department of Medical Chemistry, Molecular Biology and Pathobiochemistry/ Semmelweis University, Budapest