Multiscale agent-based modelling of ovarian cancer progression under the stimulation of the STAT 3 pathway.

IF 0.2 4区生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY

International Journal of Data Mining and Bioinformatics Pub Date : 2014-01-01 DOI:10.1504/ijdmb.2014.060050

Le Zhang, Yao Xue, Beini Jiang, Costas Strouthos, Zhenfeng Duan, Yukun Wu, Jing Su, Xiaobo Zhou

引用次数: 7

Abstract

This research is developed to simulate ovarian cancer progression with signal transducers and activators of the transcription 3 (STAT 3) pathway. The main focus is on studying how the STAT 3 pathway affects the cancer cells' biomechanical phenotype under the stimulation of the interleukin-6 (IL-6) cytokine and various well-known microscopic factors. The simulated results agreed with recent experimental evidence that ovarian cancer cells with a stimulated STAT 3 pathway have high survival rates and drug resistance. And we discussed how the IL6 and these well-known microscopic factors impacted the cancer progression.

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stat3通路刺激下卵巢癌进展的多尺度药物模型。

本研究旨在通过转录3 (STAT 3)通路的信号转导和激活因子模拟卵巢癌的进展。主要研究STAT 3通路在白细胞介素-6 (interleukin-6, IL-6)细胞因子及多种众所周知的微观因子的刺激下，如何影响癌细胞的生物力学表型。模拟结果与最近的实验证据一致，即STAT 3通路受到刺激的卵巢癌细胞具有高存活率和耐药性。我们讨论了il - 6和这些众所周知的微观因素是如何影响癌症进展的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Data Mining and Bioinformatics 生物-数学与计算生物学

CiteScore

1.00

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Mining bioinformatics data is an emerging area at the intersection between bioinformatics and data mining. The objective of IJDMB is to facilitate collaboration between data mining researchers and bioinformaticians by presenting cutting edge research topics and methodologies in the area of data mining for bioinformatics. This perspective acknowledges the inter-disciplinary nature of research in data mining and bioinformatics and provides a unified forum for researchers/practitioners/students/policy makers to share the latest research and developments in this fast growing multi-disciplinary research area.