信号转导网络与胃肠胰神经内分泌肿瘤计算分析的可行性。
Signaling networks and the feasibility of computational analysis in gastroenteropancreatic neuroendocrine tumors.
机构信息
Cancer Centre, Faculty of Health Sciences, University of Macau, Taipa, Avenida de Universidade, Taipa, Macau.
Cancer Centre, Faculty of Health Sciences, University of Macau, Taipa, Avenida de Universidade, Taipa, Macau; Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian Province, People's Republic of China.
出版信息
Semin Cancer Biol. 2019 Oct;58:80-89. doi: 10.1016/j.semcancer.2019.04.005. Epub 2019 May 1.
Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are rare diseases with a prevalence that has been increasing over the past three decades. The unsatisfactory outcome of these diseases has encouraged a great amount of research attention and discussion. Currently, to the best of our knowledge, studies on transcriptome screening and molecular mechanisms of the pathogenesis of GEP-NETs are limited. In this review, we have summarized the signaling network of GEP-NETs and the recent meta-analysis-related studies, and we have discussed the potential research direction for GEP-NETs, especially based on computational analysis.
胃胰神经内分泌肿瘤（GEP-NETs）是一种罕见疾病，其患病率在过去三十年中一直在增加。这些疾病的治疗效果不尽人意，这引起了大量的研究关注和讨论。目前，据我们所知，对 GEP-NETs 发病机制的转录组筛选和分子机制的研究有限。在这篇综述中，我们总结了 GEP-NETs 的信号网络和最近的相关元分析研究，并讨论了 GEP-NETs 的潜在研究方向，特别是基于计算分析的研究方向。
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