Exploration of potential novel drug targets and biomarkers for small cell lung cancer by plasma proteome screening

孟德尔随机化 蛋白质组 肿瘤科 内科学 肺癌 医学 全基因组关联研究 队列 生物信息学 癌症研究 计算生物学 生物 遗传学 遗传变异 基因 基因型 单核苷酸多态性
作者
Yijun Wu,Zhile Wang,Yuqi Yang,Han Chang,Li Wang,Kai Kang,Ailin Zhao
出处
期刊:Frontiers in Pharmacology [Frontiers Media]
卷期号:14 被引量:6
标识
DOI:10.3389/fphar.2023.1266782
摘要

Background: Small cell lung cancer (SCLC) is characterized by extreme invasiveness and lethality. There have been very few developments in its diagnosis and treatment over the past decades. It is urgently needed to explore potential novel biomarkers and drug targets for SCLC. Methods: Two-sample Mendelian Randomization (MR) was performed to investigate causal associations between SCLC and plasma proteins using genome-wide association studies (GWAS) summary statistics of SCLC from Transdisciplinary Research Into Cancer of the Lung Consortium (nCase = 2,791 vs. nControl = 20,580), and was validated in another cohort (nCase = 2,664 vs. nControl = 21,444). 734 plasma proteins and their genetic instruments of cis-acting protein quantitative trait loci (pQTL) were used, whereas external plasma proteome data was retrieved from deCODE database. Bidirectional MR, Steiger filtering and phenotype scanning were applied to further verify the associations. Results: Seven significant (p < 6.81 × 10-5) plasma protein-SCLC pairs were identified by MR analysis, including ACP5 (OR = 0.76, 95% CI: 0.67-0.86), CPB2 (OR = 0.90, 95% CI: 0.86-0.95), GSTM3 (OR = 0.45, 95% CI: 0.33-0.63), SHMT1 (OR = 0.74, 95% CI: 0.64-0.86), CTSB (OR = 0.79, 95% CI: 0.71-0.88), NTNG1 (OR = 0.81, 95% CI: 0.74-0.90) and FAM171B (OR = 1.40, 95% CI: 1.21-1.62). The external validation confirmed that CPB2, GSTM3 and NTNG1 had protective effects against SCLC, while FAM171B increased SCLC risk. However, the reverse causality analysis revealed that SCLC caused significant changes in plasma levels of most of these proteins, including decreases of ACP5, CPB2, GSTM3 and NTNG1, and the increase of FAM171B. Conclusion: This integrative analysis firstly suggested the causal associations between SCLC and plasma proteins, and the identified several proteins may be promising novel drug targets or biomarkers for SCLC.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
khan发布了新的文献求助50
3秒前
YOUNG-M完成签到,获得积分10
4秒前
大力云朵完成签到,获得积分10
7秒前
现代老鼠完成签到,获得积分10
7秒前
蔡翌文完成签到 ,获得积分10
7秒前
夜曦完成签到 ,获得积分0
7秒前
浅辰完成签到,获得积分10
7秒前
瀚子完成签到,获得积分10
9秒前
lkl完成签到 ,获得积分10
9秒前
开心完成签到 ,获得积分10
13秒前
量子星尘发布了新的文献求助10
13秒前
阳光的幻雪完成签到 ,获得积分10
14秒前
胡建鹏完成签到 ,获得积分10
16秒前
葡萄小伊ovo完成签到 ,获得积分10
22秒前
科研通AI6应助deway采纳,获得10
22秒前
ask基本上完成签到 ,获得积分10
23秒前
量子星尘发布了新的文献求助10
26秒前
可耐的问柳完成签到 ,获得积分10
26秒前
科研醉汉完成签到,获得积分10
28秒前
多边形完成签到 ,获得积分10
28秒前
dungaway完成签到,获得积分10
31秒前
LLLKJ完成签到,获得积分10
32秒前
Geodada完成签到,获得积分10
32秒前
高高诗柳完成签到 ,获得积分10
32秒前
藏锋完成签到 ,获得积分10
32秒前
执着的一兰完成签到,获得积分10
34秒前
35秒前
hc完成签到,获得积分10
36秒前
郑关胜完成签到,获得积分10
36秒前
MaHongyang完成签到,获得积分10
38秒前
舟遥遥完成签到,获得积分10
38秒前
大力的含卉完成签到,获得积分10
39秒前
ggg完成签到 ,获得积分10
40秒前
42秒前
冰山一脚尖完成签到,获得积分10
43秒前
早川秋Akaiii完成签到,获得积分10
44秒前
量子星尘发布了新的文献求助50
44秒前
流行天涯完成签到,获得积分10
46秒前
46秒前
清欢渡完成签到,获得积分10
48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
Zeolites: From Fundamentals to Emerging Applications 1500
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
Hidden Generalizations Phonological Opacity in Optimality Theory 1000
2026国自然单细胞多组学大红书申报宝典 800
Real Analysis Theory of Measure and Integration 3rd Edition 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4910766
求助须知:如何正确求助?哪些是违规求助? 4186429
关于积分的说明 12999659
捐赠科研通 3953947
什么是DOI,文献DOI怎么找? 2168228
邀请新用户注册赠送积分活动 1186607
关于科研通互助平台的介绍 1093874