Towards Automated Meta-Analysis of Biomedical Texts in the Field of Cell-Based Immunotherapy

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Published: Sep 30, 2019
DOI: https://doi.org/10.18097/BMCRM00109
Keywords:
cancer; cell-based immunotherapy; text mining; automated meta-analysis

Main Article Content

D.A. Devyatkin
Federal Research Centre «Computer Science and Control» RAS, 9 60-let Oktyabrya av., Moscow, 119333 Russia
A.I. Molodchenkov
Federal Research Centre «Computer Science and Control» RAS, 9 60-let Oktyabrya av., Moscow, 119333 Russia
A.V. Lukin
Federal Research Centre «Computer Science and Control» RAS, 9 60-let Oktyabrya av., Moscow, 119333 Russia
Y.S. Kim
Institute of Biomedical Chemistry, 10 Pogodinskaya str., Moscow, 119121 Russia
A.A. Boyko
Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, 16/10 Miklukho-Maklaya str., Moscow, 117997 Russia
P.A. Karalkin
Hertsen Moscow Oncology Research Center – branch of National Medical Research Radiological Center, 3 2-nd Botkinsky proezd, Moscow, 125284 Russia
J.-H. Chiang
National Cheng Kung University, Tainan City, Taiwan
G.D. Volkova
Moscow State Technological University «STANKIN», 1 Vadkovsky lane, Moscow, 127994 Russia
A.Yu. Lupatov
Institute of Biomedical Chemistry, 10 Pogodinskaya str., Moscow, 119121 Russia

Abstract

Cell-based immunotherapy is a promising approach for the treatment of chronic infections, autoimmune disorders, and malignant tumors. There are many strategies of cell-based immunotherapy of cancer; these include injection of various immune effector cells, propagated and «trained» in a cell culture. Alternatively, cells presenting tumor antigens on their surface in a form recognized by the immune system can be used to achieve a therapeutic effect. The research results in this field are presented in thousands of texts, and their manual analysis is very complicated. We have developed an approach for automated text analysis in this area of biomedical science. Here we present the first results of the automated analysis of the data extracted from abstracts of scientific articles available in PubMed. These results demonstrate the associations between types of tumors and the most commonly used methods of their cell-based immunotherapy.

Article Details

How to Cite
Devyatkin, D., Molodchenkov, A., Lukin, A., Kim, Y., Boyko, A., Karalkin, P., Chiang, J.-H., Volkova, G., & Lupatov, A. (2019). Towards Automated Meta-Analysis of Biomedical Texts in the Field of Cell-Based Immunotherapy. Biomedical Chemistry: Research and Methods, 2(3), e00109. https://doi.org/10.18097/BMCRM00109
Issue
Vol. 2 No. 3 (2019)
Section
EXPERIMENTAL RESEARCH

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