Systems biology strategy and experimental validation to uncover the pharmacological mechanism of Xihuang Pill in treating non-small cell lung cancer

生物 肺癌 癌症研究 基因 免疫系统 间质细胞 癌症 肿瘤微环境 机制(生物学) 计算生物学 生物信息学 肿瘤科 医学 免疫学 遗传学 哲学 认识论
作者
Zhenjie Zhuang,Dan Huang,Zhou Rui Sheng,Zengjie Ye,Haimei Jiang,Yi Yuan,Binyu Qin,Yan Zhao,Huafeng Pan,Ying Tang
出处
期刊:Phytomedicine [Elsevier]
卷期号:108: 154491-154491 被引量:13
标识
DOI:10.1016/j.phymed.2022.154491
摘要

Non-small cell lung cancer (NSCLC) accounts for almost 85% of lung cancer-related deaths worldwide. Xihuang Pill (XHP) is a representative anticancer Chinese patented medicine used to treat NSCLC in China. However, to date, a systematic analysis of XHP's antitumour effects and its impact on the immune microenvironment has not been performed.Based on the systems biology strategy and experimental validation, the present study aimed to investigate the pharmacological mechanisms involved in treating NSCLC with XHP.A subcutaneous tumour model was established to evaluate XHP's tumour-inhibitory effect in BALB/c nude mice. RNA sequencing (RNA-seq) and bioinformatics analysis were conducted to identify differentially expressed genes (DEGs) and signalling pathways related to XHP treatment. Network analysis based on network pharmacology and protein-to-protein networks was applied to identify the compounds and genes targeted by XHP. External data from the TCGA-NSCLC cohort were used to verify the clinical significance of XHP-targeted genes in NSCLC. The expression of survival-related candidate genes after XHP treatment was verified via qPCR. The protein expression of calcium voltage-gated channel subunit alpha 1C (CACNA1C) in different NSCLC cell lines was analysed in the Human Protein Atlas database (HPA) and DepMap Portal. Using the Estimation of STromal and Immune cells in MAlignant Tumour tissues using Expression data (ESTIMATE) algorithm and the single-sample gene set enrichment analysis (ssGSEA) algorithm uncovered the role of CACNA1C in the NSCLC tumour microenvironment (TME).XHP (2 g/kg/d) significantly inhibited the growth of transplanted A549 tumours. RNA-seq identified a total of 529 DEGs (189 upregulated and 340 downregulated). In addition, 542 GO terms, 41 significant KEGG pathways, 9 upregulated hallmarks pathways, and 18 downregulated hallmark pathways were enriched. These GO terms and signalling pathways were closely related to cell proliferation, immunity, energy metabolism, and the inflammatory response of NSCLC. In addition, XHP's network pharmacology analysis identified 301 compounds and 1,432 target genes. A comprehensive strategic analysis identified CACNA1C as a promising gene by which XHP targets and regulates the TME of NSCLC, benefiting patient survival. CACNA1C expression was positively correlated with both the immune score and stromal score but negatively correlated with the tumour purity score. Additionally, CACNA1C expression was significantly correlated with the infiltration levels of 15 types of immune cells and the expression levels of 6 well-known checkpoint genes.Our results show that by regulating the pathways associated with cell proliferation and immunity, XHP can suppress cancer cell growth in NSCLC. Additionally, XHP may increase the expression of CACNA1C to suppress immune cell infiltration and regulate the expression of checkpoint-related genes, thereby improving the overall survival of NSCLC patients.
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
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
blue2021发布了新的文献求助30
1秒前
2秒前
2秒前
MWY发布了新的文献求助10
2秒前
胡33完成签到,获得积分10
2秒前
LihuaLu0417完成签到,获得积分20
3秒前
Zureil发布了新的文献求助30
3秒前
豆小芒发布了新的文献求助10
4秒前
5秒前
浮游应助EC采纳,获得10
5秒前
LihuaLu0417发布了新的文献求助10
6秒前
Hiker完成签到,获得积分10
6秒前
6秒前
6秒前
shunshun51213完成签到,获得积分10
8秒前
9秒前
Denmark发布了新的文献求助10
9秒前
脑洞疼应助光亮的友容采纳,获得10
9秒前
orrrr完成签到,获得积分20
10秒前
10秒前
10秒前
三七发布了新的文献求助10
10秒前
11秒前
12秒前
于啊发布了新的文献求助10
12秒前
13秒前
充电宝应助MWY采纳,获得10
13秒前
14秒前
江xiaoyu小鱼完成签到,获得积分10
14秒前
科研通AI2S应助嘉嘉sone采纳,获得10
14秒前
14秒前
16秒前
星辰大海应助个性的荆采纳,获得10
16秒前
永远永远完成签到,获得积分10
16秒前
Zureil完成签到,获得积分10
16秒前
科研通AI6应助yutou采纳,获得10
16秒前
爆米花应助过时的明杰采纳,获得10
17秒前
传奇3应助上官老师采纳,获得10
17秒前
17秒前
靓丽的山灵完成签到,获得积分10
17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
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
化妆品原料学 1000
Psychology of Self-Regulation 800
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
Red Book: 2024–2027 Report of the Committee on Infectious Diseases 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5641911
求助须知:如何正确求助?哪些是违规求助? 4757635
关于积分的说明 15015486
捐赠科研通 4800390
什么是DOI,文献DOI怎么找? 2566016
邀请新用户注册赠送积分活动 1524164
关于科研通互助平台的介绍 1483790