Integrated analysis of single-cell RNA-seq and bulk RNA-seq to unravel the molecular mechanisms underlying the immune microenvironment in the development of intestinal-type gastric cancer

免疫系统 生物 肿瘤微环境 癌症研究 癌症 转录组 免疫学 基因 基因表达 遗传学
作者
Yongjian Su,Xiaoqing Zhang,Youcheng Liang,Jianbo Sun,Chengyu Lu,Zunnan Huang
出处
期刊:Biochimica Et Biophysica Acta: Molecular Basis Of Disease [Elsevier BV]
卷期号:1870 (1): 166849-166849 被引量:5
标识
DOI:10.1016/j.bbadis.2023.166849
摘要

Intestinal-type gastric cancer (IGC) is the most frequent type of gastric cancer in high-incidence populations. The early stages of IGC growth successively include nonatrophic gastritis (NAG), chronic atrophic gastritis (CAG) and intestinal metaplasia (IM). However, the mechanisms of IGC development through these stages remain unclear. For this study, single-cell RNA-seq data related to IGC were downloaded from the GEO database, and immune cells of the tumor microenvironment (TME) were annotated using R software. Changes in the proportion of immune cells and altered cell-to-cell interactions were explored at different disease stages using R software, with a focus on plasma cells. Additionally, IGC samples from the TCGA database were used for immune cell infiltration analysis, and a Cox proportional risk regression model was constructed to identify possible prognostic genes. The results indicated that for precancerous lesions, interactions between immune cells were mainly dominated by chemokines to stimulate the infiltration and activation of immune cells. In tumors, intercellular movement of upregulated molecules and amplified signals were associated with the tumor necrosis factor family and immunosuppression to escape immune surveillance and promote tumor growth. Regarding prognostic analysis, IGLC3, IGLV1-44, IGKV1-16, IGHV3-21, IGLV1-51, and IGLV3-19 were found to be novel biomarkers for IGC. Our analysis of the IGC single-cell atlas together with bulk transcriptome data contributes to understanding TME heterogeneity at the molecular level during IGC development and provides insights for elucidating the mechanism of IGC and discovering novel targets for precise therapy.
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
1秒前
你就没说对过完成签到,获得积分20
1秒前
乌禅发布了新的文献求助10
1秒前
上官翠花发布了新的文献求助10
2秒前
大力日记本完成签到,获得积分10
2秒前
小二郎应助香蕉梨愁采纳,获得10
2秒前
深情安青应助香蕉梨愁采纳,获得10
2秒前
领导范儿应助香蕉梨愁采纳,获得10
2秒前
脑洞疼应助香蕉梨愁采纳,获得10
2秒前
李爱国应助香蕉梨愁采纳,获得10
2秒前
可爱的函函应助香蕉梨愁采纳,获得10
3秒前
香蕉觅云应助香蕉梨愁采纳,获得10
3秒前
今后应助香蕉梨愁采纳,获得10
3秒前
机灵柚子应助香蕉梨愁采纳,获得10
3秒前
赘婿应助香蕉梨愁采纳,获得10
3秒前
weikang完成签到,获得积分10
3秒前
鲤鱼灵阳完成签到,获得积分10
3秒前
椿上春树发布了新的文献求助10
4秒前
笑点低的不言应助半生瓜采纳,获得10
4秒前
jovrtic发布了新的文献求助30
4秒前
哦可完成签到,获得积分10
4秒前
ZZJ完成签到,获得积分10
5秒前
5秒前
鬼笔环肽发布了新的文献求助10
5秒前
5秒前
乌禅完成签到,获得积分10
6秒前
XHY发布了新的文献求助10
6秒前
yuHS完成签到,获得积分10
6秒前
8秒前
8秒前
科研通AI5应助59采纳,获得10
8秒前
慕青应助糟糕的冬莲采纳,获得10
8秒前
zzzzz完成签到 ,获得积分10
8秒前
9秒前
pipi1412发布了新的文献求助10
9秒前
李爱国应助椿上春树采纳,获得10
10秒前
大黄日记本完成签到,获得积分10
10秒前
唐藏今完成签到,获得积分10
10秒前
我有大脑发布了新的文献求助10
11秒前
小魏小魏完成签到,获得积分10
11秒前
高分求助中
【重要!!请各位用户详细阅读此贴】科研通的精品贴汇总(请勿应助) 10000
Semantics for Latin: An Introduction 1055
Plutonium Handbook 1000
Three plays : drama 1000
International Code of Nomenclature for algae, fungi, and plants (Madrid Code) (Regnum Vegetabile) 1000
Psychology Applied to Teaching 14th Edition 600
Robot-supported joining of reinforcement textiles with one-sided sewing heads 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4100324
求助须知:如何正确求助?哪些是违规求助? 3638242
关于积分的说明 11528775
捐赠科研通 3347064
什么是DOI,文献DOI怎么找? 1839490
邀请新用户注册赠送积分活动 906780
科研通“疑难数据库(出版商)”最低求助积分说明 823991