Predictive Simulation Approach for Designing Cancer Therapeutic Regimens with Novel Biological Mechanisms

Introduction Ursolic acid (UA) is a pentacyclic triterpene acid present in many plants, including apples, basil, cranberries, and rosemary. UA suppresses proliferation and induces apoptosis in a variety of tumor cells via inhibition of nuclear factor kappa-light-chain-enhancer of activated B cells (...

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Main Authors:	Doudican, Nicole A., Mazumder, Amitabha, Kapoor, Shweta, Sultana, Zeba, Kumar, Ansu, Talawdekar, Anay, Basu, Kabya, Agrawal, Ashish, Aggarwal, Aditi, Shetty, Krithika, Singh, Neeraj K, Kumar, Chandan, Tyagi, Anuj, Singh, Neeraj Kumar, Darlybai, Janitha C, Abbasi, Taher, Vali, Shireen
Format:	Online
Language:	English
Published:	Ivyspring International Publisher 2014
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4026994/

id	pubmed-4026994
recordtype	oai_dc
spelling	pubmed-40269942014-05-20 Predictive Simulation Approach for Designing Cancer Therapeutic Regimens with Novel Biological Mechanisms Doudican, Nicole A. Mazumder, Amitabha Kapoor, Shweta Sultana, Zeba Kumar, Ansu Talawdekar, Anay Basu, Kabya Agrawal, Ashish Aggarwal, Aditi Shetty, Krithika Singh, Neeraj K Kumar, Chandan Tyagi, Anuj Singh, Neeraj Kumar Darlybai, Janitha C Abbasi, Taher Vali, Shireen Research Paper Introduction Ursolic acid (UA) is a pentacyclic triterpene acid present in many plants, including apples, basil, cranberries, and rosemary. UA suppresses proliferation and induces apoptosis in a variety of tumor cells via inhibition of nuclear factor kappa-light-chain-enhancer of activated B cells (NFκB). Given that single agent therapy is a major clinical obstacle to overcome in the treatment of cancer, we sought to enhance the anti-cancer efficacy of UA through rational design of combinatorial therapeutic regimens that target multiple signaling pathways critical to carcinogenesis. Ivyspring International Publisher 2014-04-25 /pmc/articles/PMC4026994/ /pubmed/24847381 http://dx.doi.org/10.7150/jca.7680 Text en © Ivyspring International Publisher. This is an open-access article distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by-nc-nd/3.0/). Reproduction is permitted for personal, noncommercial use, provided that the article is in whole, unmodified, and properly cited.
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Doudican, Nicole A. Mazumder, Amitabha Kapoor, Shweta Sultana, Zeba Kumar, Ansu Talawdekar, Anay Basu, Kabya Agrawal, Ashish Aggarwal, Aditi Shetty, Krithika Singh, Neeraj K Kumar, Chandan Tyagi, Anuj Singh, Neeraj Kumar Darlybai, Janitha C Abbasi, Taher Vali, Shireen
spellingShingle	Doudican, Nicole A. Mazumder, Amitabha Kapoor, Shweta Sultana, Zeba Kumar, Ansu Talawdekar, Anay Basu, Kabya Agrawal, Ashish Aggarwal, Aditi Shetty, Krithika Singh, Neeraj K Kumar, Chandan Tyagi, Anuj Singh, Neeraj Kumar Darlybai, Janitha C Abbasi, Taher Vali, Shireen Predictive Simulation Approach for Designing Cancer Therapeutic Regimens with Novel Biological Mechanisms
author_facet	Doudican, Nicole A. Mazumder, Amitabha Kapoor, Shweta Sultana, Zeba Kumar, Ansu Talawdekar, Anay Basu, Kabya Agrawal, Ashish Aggarwal, Aditi Shetty, Krithika Singh, Neeraj K Kumar, Chandan Tyagi, Anuj Singh, Neeraj Kumar Darlybai, Janitha C Abbasi, Taher Vali, Shireen
author_sort	Doudican, Nicole A.
title	Predictive Simulation Approach for Designing Cancer Therapeutic Regimens with Novel Biological Mechanisms
title_short	Predictive Simulation Approach for Designing Cancer Therapeutic Regimens with Novel Biological Mechanisms
title_full	Predictive Simulation Approach for Designing Cancer Therapeutic Regimens with Novel Biological Mechanisms
title_fullStr	Predictive Simulation Approach for Designing Cancer Therapeutic Regimens with Novel Biological Mechanisms
title_full_unstemmed	Predictive Simulation Approach for Designing Cancer Therapeutic Regimens with Novel Biological Mechanisms
title_sort	predictive simulation approach for designing cancer therapeutic regimens with novel biological mechanisms
description	Introduction Ursolic acid (UA) is a pentacyclic triterpene acid present in many plants, including apples, basil, cranberries, and rosemary. UA suppresses proliferation and induces apoptosis in a variety of tumor cells via inhibition of nuclear factor kappa-light-chain-enhancer of activated B cells (NFκB). Given that single agent therapy is a major clinical obstacle to overcome in the treatment of cancer, we sought to enhance the anti-cancer efficacy of UA through rational design of combinatorial therapeutic regimens that target multiple signaling pathways critical to carcinogenesis.
publisher	Ivyspring International Publisher
publishDate	2014
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4026994/
_version_	1612090965390000128

Predictive Simulation Approach for Designing Cancer Therapeutic Regimens with Novel Biological Mechanisms

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