IPB University Computer Science Lecturer Explained the Role of Bioinformatics in Precision Medicine for Cancer Treatment
Department of Computer Science Faculty of Mathematics and Natural Sciences (FMIPA) IPB University in collaboration with working group bioinformatics and Center for Tropical Bioinformatics Studies (Trop BRC), Institute of Research and Community Service (LPPM) IPB University held Bioinformatics Webinar Series 1 with the main theme "Precision Medicine for Cancer", (29/04). The event was held considering the importance of information and science with a cross-scientific approach, especially biosciences at IPB University.
Biosciences are also supported by chemical analysis to increase the diversity of data into big data for IPB University researchers. The results of the study are useful to make the systematics of the flow to be meaningful and beneficial to the community. Various diseases that have not been fully cured such as cancer are also a challenge for researchers. Cancer treatment often experiences problems because it requires precision and even personalization.
Ahmad Rusdan Handoyo Utomo, Ph.D., Postgraduate Lecturer of Biomedical Program of Yarsi University provides perspective on prospects and constraints on precision treatment for cancer. He explained that precision medicine is a highly developed and promising approach. Such precision treatment is applied based on the biomarker profile on individual targets.
According to him, individual targets will benefit in the form of a better quality of life and even extend the chances of survival. But of course, the treatment can not be included will be successful completely because only a few percent of the benefits are tangible. There is still a need for collaboration to realize the treatment precisely at its true potential. The collaboration should also include precise prevention of precision treatment.
Dr. Mushthofa, Lecturer of IPB University from The Department of Computer Science, FMIPA also attended and delivered material on the integration of network-based omics data for precision treatment in cancer. Cancer is known to be a complex disease and involves a variety of molecular features and processes. Cancer cells occur due to abnormalities in genetic molecules. Based on the changes that occur in cancer cells, researchers try to look at common patterns and look for 'major players' or drivers in cancer. For example proteins in genes that regulate signaling and molecular processes are associated with cancer.
"Researchers are trying to see the diversity of these cancers, for example, based on per individual patient, per different enzymes, with different mutations certainly a challenge for researchers and biomedical to provide the most appropriate treatment or prognosis for each patient. That's where the role of precision medicine is," he concluded.
Cancer is a disease based on a biological network or network interaction between molecules that are important in cell functions, for example, TP53 serves as a regulator of various pathways that play a role in cancer. By integrating molecular data in precision medicine can help capture and model the complexity of cancer. Biomedical personnel can perform treatments that are custom following the profile of each patient.
"But this (treatment) is complex in terms of data processing because phenotypes or the same behavior can be driven by different mutations. It becomes a computational database and an opportunity for us to define an approach. When we want to process the data omics related to cancer, we always try to associate with the biological network, so we base it with the network that comes from biological data sources that show that the mutated genes are different but still interconnected. So that from the modeling we can produce a conclusion or a more accurate prediction model," he explained.
Databases used include biological pathways, transcriptional network, protein interaction network, and cancer-specific network. The computational model is expected to play a role in various decision-making in precision medicine. (MW/Zul)
Published Date : 30-Apr-2021
Resource Person : Dr Mushthofa, Ahmad Rusdan Handoyo Utomo PhD
Keyword : Lecturer of IPB University, cancer, precision medicine, bioinformatics, Department of Computer Science, FMIPA
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