The stress response paradox: fighting degeneration at the cost of cancer.
The stress response paradox: fighting degeneration at the cost of cancer.
复制标题
DOI：
10.1111/febs.13764
复制
发表时间：
2016-11
期刊：
影响因子：
--
通讯作者：
Douglas PM
中科院分区：
文献类型：
--
作者：
Arneaud SL;Douglas PM
在现代研究时代，测序和高通量分析将遗传因素与多种疾病状态联系起来。通常情况下，相同的细胞机制涉及几种不同的疾病，并且使得以最小的多效性后果对特定疾病进行药物治疗具有挑战性。有趣的是，不同的疾病研究领域在描述相同的生物学过程、途径或分子时，会呈现出如此不同的观点。随着一个领域的观察与另一个领域的研究融合，我们可以更全面地了解生物系统，并准确地评估转化科学的可行性。作为这里讨论的一个例子，调节细胞内的潜在应激反应途径提供了令人兴奋的治疗潜力，然而，在退行性疾病和癌症领域出现了相反的观点。乍一看，这似乎是合乎逻辑的，因为抑制退行性疾病需要保持细胞活力，而癌症的目的是增强选择性衰老和细胞死亡。由于这两个学科都在寻求新的治疗干预措施，我们不应该忽视涉及一个生物过程的科学偏见如何影响不同的疾病范式。
In the modern research era, sequencing and high-throughput analysis have linked genetic factors with a multitude of disease states. Often times, the same cellular machinery is implicated in several different diseases and has made it challenging to drug a particular disease with minimal pleotropic consequences. It is intriguing to see how different fields of disease research can present such differing views when describing the same biological process, pathway, or molecule. As observations in one field converge with research in another, we gain a more complete picture of a biological system and can accurately assess the feasibility for translational science. As an example discussed here, modulating latent stress response pathways within the cell provides exciting therapeutic potential, however, opposing views have emerged in the fields of degenerative disease and cancer. This at first glance seems logical as suppression of degenerative disease entails maintaining cell viability, while cancer aims to enhance selective senescence and cell death. As both of these disciplines seek novel therapeutic interventions, we should not overlook how scientific biases involving one biological process may impact different disease paradigms.
登录
查看更多内容
影响因子：
56.9
作者：
CHIANG, HL;TERLECKY, SR;DICE, JF
通讯作者：
DICE, JF
影响因子：
64.5
作者：
Dai, Chengkai;Whitesell, Luke;Lindquist, Susan
通讯作者：
Lindquist, Susan
影响因子：
2.8
作者：
Gross, C;Watson, K
通讯作者：
Watson, K
影响因子：
6.4
作者：
Kaur, J;Ralhan, R
通讯作者：
Ralhan, R
影响因子：
4.8
作者：
Jiang, JH;Ballinger, CA;Patterson, C
通讯作者：
Patterson, C