Discovering novel SNPs that are correlated with patient outcome in a Singaporean cancer patient cohort treated with gemcitabine-based chemotherapy

Single Nucleotide Polymorphisms (SNPs) can influence patient outcome such as drug response and toxicity after drug intervention. The purpose of this study is to develop a systematic pathway approach to accurately and efficiently predict novel non-synonymous SNPs (nsSNPs) that could be causative to g...

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Main Authors: Limviphuvadh, Vachiranee, Tan, Chee Seng, Konishi, Fumikazu, Jenjaroenpun, Piroon, Xiang, Joy Shengnan, Kremenska, Yuliya, Mu, Yar Soe, Soo, Ross A., Eisenhaber, Frank, Maurer-Stroh, Sebastian, Yong, Wei Peng, Nicholas, Syn, Chin, Lee Soo
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2018
Subjects:
Online Access:https://hdl.handle.net/10356/84498
http://hdl.handle.net/10220/45113
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-844982020-03-07T11:48:56Z Discovering novel SNPs that are correlated with patient outcome in a Singaporean cancer patient cohort treated with gemcitabine-based chemotherapy Limviphuvadh, Vachiranee Tan, Chee Seng Konishi, Fumikazu Jenjaroenpun, Piroon Xiang, Joy Shengnan Kremenska, Yuliya Mu, Yar Soe Soo, Ross A. Eisenhaber, Frank Maurer-Stroh, Sebastian Yong, Wei Peng Nicholas, Syn Chin, Lee Soo School of Computer Science and Engineering Gemcitabine NSCLC Single Nucleotide Polymorphisms (SNPs) can influence patient outcome such as drug response and toxicity after drug intervention. The purpose of this study is to develop a systematic pathway approach to accurately and efficiently predict novel non-synonymous SNPs (nsSNPs) that could be causative to gemcitabine-based chemotherapy treatment outcome in Singaporean non-small cell lung cancer (NSCLC) patients. NRF (Natl Research Foundation, S’pore) ASTAR (Agency for Sci., Tech. and Research, S’pore) MOE (Min. of Education, S’pore) Published version 2018-07-18T08:51:54Z 2019-12-06T15:46:09Z 2018-07-18T08:51:54Z 2019-12-06T15:46:09Z 2018 Journal Article Limviphuvadh, V., Tan, C. S., Konishi, F., Jenjaroenpun, P., Xiang, J. S., Kremenska, Y., et al. (2018). Discovering novel SNPs that are correlated with patient outcome in a Singaporean cancer patient cohort treated with gemcitabine-based chemotherapy. BMC Cancer, 18(1), 555-. 1471-2407 https://hdl.handle.net/10356/84498 http://hdl.handle.net/10220/45113 10.1186/s12885-018-4471-x en BMC Cancer © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. 16 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Gemcitabine
NSCLC
spellingShingle Gemcitabine
NSCLC
Limviphuvadh, Vachiranee
Tan, Chee Seng
Konishi, Fumikazu
Jenjaroenpun, Piroon
Xiang, Joy Shengnan
Kremenska, Yuliya
Mu, Yar Soe
Soo, Ross A.
Eisenhaber, Frank
Maurer-Stroh, Sebastian
Yong, Wei Peng
Nicholas, Syn
Chin, Lee Soo
Discovering novel SNPs that are correlated with patient outcome in a Singaporean cancer patient cohort treated with gemcitabine-based chemotherapy
description Single Nucleotide Polymorphisms (SNPs) can influence patient outcome such as drug response and toxicity after drug intervention. The purpose of this study is to develop a systematic pathway approach to accurately and efficiently predict novel non-synonymous SNPs (nsSNPs) that could be causative to gemcitabine-based chemotherapy treatment outcome in Singaporean non-small cell lung cancer (NSCLC) patients.
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Limviphuvadh, Vachiranee
Tan, Chee Seng
Konishi, Fumikazu
Jenjaroenpun, Piroon
Xiang, Joy Shengnan
Kremenska, Yuliya
Mu, Yar Soe
Soo, Ross A.
Eisenhaber, Frank
Maurer-Stroh, Sebastian
Yong, Wei Peng
Nicholas, Syn
Chin, Lee Soo
format Article
author Limviphuvadh, Vachiranee
Tan, Chee Seng
Konishi, Fumikazu
Jenjaroenpun, Piroon
Xiang, Joy Shengnan
Kremenska, Yuliya
Mu, Yar Soe
Soo, Ross A.
Eisenhaber, Frank
Maurer-Stroh, Sebastian
Yong, Wei Peng
Nicholas, Syn
Chin, Lee Soo
author_sort Limviphuvadh, Vachiranee
title Discovering novel SNPs that are correlated with patient outcome in a Singaporean cancer patient cohort treated with gemcitabine-based chemotherapy
title_short Discovering novel SNPs that are correlated with patient outcome in a Singaporean cancer patient cohort treated with gemcitabine-based chemotherapy
title_full Discovering novel SNPs that are correlated with patient outcome in a Singaporean cancer patient cohort treated with gemcitabine-based chemotherapy
title_fullStr Discovering novel SNPs that are correlated with patient outcome in a Singaporean cancer patient cohort treated with gemcitabine-based chemotherapy
title_full_unstemmed Discovering novel SNPs that are correlated with patient outcome in a Singaporean cancer patient cohort treated with gemcitabine-based chemotherapy
title_sort discovering novel snps that are correlated with patient outcome in a singaporean cancer patient cohort treated with gemcitabine-based chemotherapy
publishDate 2018
url https://hdl.handle.net/10356/84498
http://hdl.handle.net/10220/45113
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