SRSF3 knockdown-induced cellular senescence as a possible therapeutic strategy for non-small cell lung cancer

基因敲除 癌症研究 下调和上调 肺癌 衰老 细胞生长 酪氨酸激酶 激酶 细胞培养 细胞凋亡 A549电池 细胞 生物 癌症 RNA干扰 癌细胞 靶向治疗 突变 程序性细胞死亡 信号转导
作者
Shinji Nakamichi,Natalia von Muhlinen,Leo Yamada,Jilian R. Melamed,Tyler E. Papp,Hamideh Parhiz,Drew Weissman,Izumi Horikawa,Curtis C. Harris
出处
期刊:Carcinogenesis [Oxford University Press]
卷期号:46 (4)
标识
DOI:10.1093/carcin/bgaf082
摘要

Tyrosine kinase (TK) inhibitors improve clinical outcomes in non-small cell lung cancer (NSCLC) with targetable mutations. However, such NSCLC cases account for only about 50% in the western populations. Inhibition of the splicing factor SRSF3 has been reported to be tumor-suppressive in other cancer cell types. This study for the first time explores the tumor-suppressive activity of siRNA knockdown of SRSF3 in NSCLC cells. The cell lines used were A549 (no TK mutation; TP53 wild type), NCI-H1975 (EGFR L858R/T790M; TP53 R273H mutant), NCI-H322 (no TK mutation; TP53 R248L mutant), and NCI-H596 (no TK mutation; TP53 G245C mutant). In all these cell lines, SRSF3 knockdown increased cellular senescence, as indicated by increased senescence-associated β-galactosidase activity and reduced cell proliferation. In A549 cells, increased apoptotic cleavage of caspase-3 and poly(ADP-ribose) polymerase was also observed. A tumor-suppressive p53 isoform, p53β, was shown to be upregulated by SRSF3 knockdown. However, overexpression of p53β did not induce cellular senescence or apoptosis, suggesting that this p53 isoform is not a primary effector of SRSF3 knockdown in NSCLC cells. Gene expression analyses suggested that the SRSF3 knockdown-induced senescence in NSCLC cells may be mediated by the downregulation of TOP2A, UBE2C, or ASPM, which are known oncogenic factors associated with poor patient prognosis. We also generated SRSF3 siRNA-encapsulating lipid nanoparticles as a future therapeutic tool. This study proposes a therapeutic strategy for NSCLC that is independent of the mutation status of TP53 and TK-encoding genes.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
思琦吖发布了新的文献求助10
刚刚
脑洞疼应助luo采纳,获得10
1秒前
1秒前
忧虑的以菱完成签到,获得积分10
3秒前
4秒前
4秒前
Orange应助年轻的小懒虫采纳,获得10
5秒前
Ryq123发布了新的文献求助10
6秒前
luo完成签到,获得积分10
7秒前
7秒前
薯片关注了科研通微信公众号
7秒前
lemon完成签到,获得积分10
9秒前
10秒前
10秒前
整齐的冬莲完成签到,获得积分10
10秒前
研友_VZG7GZ应助ww采纳,获得10
10秒前
桐桐应助明亮的落地窗采纳,获得30
11秒前
du完成签到,获得积分10
12秒前
12秒前
缓慢代亦完成签到,获得积分10
13秒前
jiaqiao完成签到,获得积分20
13秒前
xxx完成签到,获得积分10
14秒前
14秒前
热心小蕊完成签到,获得积分10
14秒前
韩小小完成签到,获得积分10
15秒前
饼饼完成签到,获得积分10
16秒前
16秒前
神勇妙旋发布了新的文献求助10
17秒前
huxiao发布了新的文献求助10
17秒前
zho发布了新的文献求助10
19秒前
22秒前
Rrr发布了新的文献求助10
22秒前
23秒前
24秒前
Czyscrdude发布了新的文献求助10
25秒前
26秒前
高雍发布了新的文献求助10
26秒前
小牛同志发布了新的文献求助10
26秒前
xc374375发布了新的文献求助10
28秒前
28秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7614814
求助须知:如何正确求助?哪些是违规求助? 9190131
关于积分的说明 19691367
捐赠科研通 7187486
什么是DOI,文献DOI怎么找? 3271178
关于科研通互助平台的介绍 2434525
邀请新用户注册赠送积分活动 2266193