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致癌性 PKA 信号通过多种可靶向的机制增加 c-MYC 蛋白表达。

Oncogenic PKA signaling increases c-MYC protein expression through multiple targetable mechanisms.

机构信息

Division of Hematology/Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, United States.

Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, United States.

出版信息

Elife. 2023 Jan 24;12:e69521. doi: 10.7554/eLife.69521.

DOI:10.7554/eLife.69521
PMID:36692000
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9925115/
Abstract

Genetic alterations that activate protein kinase A (PKA) are found in many tumor types. Yet, their downstream oncogenic signaling mechanisms are poorly understood. We used global phosphoproteomics and kinase activity profiling to map conserved signaling outputs driven by a range of genetic changes that activate PKA in human cancer. Two signaling networks were identified downstream of PKA: RAS/MAPK components and an Aurora Kinase A (AURKA)/glycogen synthase kinase (GSK3) sub-network with activity toward MYC oncoproteins. Findings were validated in two PKA-dependent cancer models: a novel, patient-derived fibrolamellar carcinoma (FLC) line that expresses a DNAJ-PKAc fusion and a PKA-addicted melanoma model with a mutant type I PKA regulatory subunit. We identify PKA signals that can influence both de novo translation and stability of the proto-oncogene c-MYC. However, the primary mechanism of PKA effects on MYC in our cell models was translation and could be blocked with the eIF4A inhibitor zotatifin. This compound dramatically reduced c-MYC expression and inhibited FLC cell line growth in vitro. Thus, targeting PKA effects on translation is a potential treatment strategy for FLC and other PKA-driven cancers.

摘要

在许多肿瘤类型中都发现了激活蛋白激酶 A(PKA)的遗传改变。然而,其下游致癌信号机制还了解甚少。我们使用全局磷酸化蛋白质组学和激酶活性分析来绘制由一系列激活人癌症中 PKA 的遗传变化驱动的保守信号输出图谱。鉴定出 PKA 下游的两个信号网络:RAS/MAPK 成分和 Aurora Kinase A(AURKA)/糖原合酶激酶(GSK3)亚网络,该网络对 MYC 癌蛋白具有活性。在两个依赖于 PKA 的癌症模型中验证了这些发现:一种新型的、源自患者的纤维板层癌(FLC)系,表达 DNAJ-PKAc 融合,以及一种具有突变 I 型 PKA 调节亚基的 PKA 成瘾性黑素瘤模型。我们确定了 PKA 信号可以影响原癌基因 c-MYC 的从头翻译和稳定性。然而,在我们的细胞模型中,PKA 对 MYC 的主要作用是翻译,并且可以用 eIF4A 抑制剂 zotatifin 阻断。该化合物可显著降低 c-MYC 表达并抑制体外 FLC 细胞系的生长。因此,针对 PKA 对翻译的影响是治疗 FLC 和其他 PKA 驱动的癌症的潜在治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d80e/9925115/40da09f67b25/elife-69521-sa2-fig3.jpg
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