In Silico Dissection of the Drug Sensitivity of Mesothelioma Cell Lines

Archana Pal, Vishal Singh Negi

2019

Abstract

Malignant mesothelioma is an extremely aggressive cancer of the mesothelial cells. Asbestos exposure and genetic predisposition are the two most well-established risk factors for mesothelioma occurrence. It has a high mortality rate with poor prognosis and high chemotherapeutic resistance via unknown mechanisms. In this study, we used in silico approach for studying the drug sensitivity response of 21 mesothelioma cell lines from Genomics of Drug Sensitivity in Cancer’ (GDSC) database. We observed that only three cell lines displayed sensitivity to various drugs. Among these three cell lines, two mesothelioma cell lines displayed some commonalities in their drug sensitivities as well as their mutation profiles including, mutation spectrums, the flanking regions of the mutated base, and their respective heatmaps

Paper Citation

in Harvard Style

Pal A. and Negi V. (2019). In Silico Dissection of the Drug Sensitivity of Mesothelioma Cell Lines.In Proceedings of the International Conference on Health Informatics and Medical Application Technology - Volume 1: ICHIMAT, ISBN 978-989-758-460-2, pages 325-332. DOI: 10.5220/0009512103250332

in Bibtex Style

@conference{ichimat19,
author={Archana Pal and Vishal Singh Negi},
title={In Silico Dissection of the Drug Sensitivity of Mesothelioma Cell Lines},
booktitle={Proceedings of the International Conference on Health Informatics and Medical Application Technology - Volume 1: ICHIMAT,},
year={2019},
pages={325-332},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009512103250332},
isbn={978-989-758-460-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Health Informatics and Medical Application Technology - Volume 1: ICHIMAT,
TI - In Silico Dissection of the Drug Sensitivity of Mesothelioma Cell Lines
SN - 978-989-758-460-2
AU - Pal A.
AU - Negi V.
PY - 2019
SP - 325
EP - 332
DO - 10.5220/0009512103250332