Extracellular matrix profiles determine risk and prognosis of the squamous cell carcinoma subtype of non-small cell lung carcinoma

细胞外基质 基底细胞 肺癌 医学 癌症研究 肿瘤科 人类遗传学 病理 生物 内科学 遗传学 基因
作者
Amelia L. Parker,Elise D. Bowman,Adriana Zingone,Bríd M. Ryan,Wendy A. Cooper,Maija Kohonen‐Corish,Curtis C. Harris,Thomas R. Cox
出处
期刊:Genome Medicine [Springer Nature]
卷期号:14 (1) 被引量:39
标识
DOI:10.1186/s13073-022-01127-6
摘要

Squamous cell carcinoma (SqCC) is a subtype of non-small cell lung cancer for which patient prognosis remains poor. The extracellular matrix (ECM) is critical in regulating cell behavior; however, its importance in tumor aggressiveness remains to be comprehensively characterized.Multi-omics data of SqCC human tumor specimens was combined to characterize ECM features associated with initiation and recurrence. Penalized logistic regression was used to define a matrix risk signature for SqCC tumors and its performance across a panel of tumor types and in SqCC premalignant lesions was evaluated. Consensus clustering was used to define prognostic matreotypes for SqCC tumors. Matreotype-specific tumor biology was defined by integration of bulk RNAseq with scRNAseq data, cell type deconvolution, analysis of ligand-receptor interactions and enriched biological pathways, and through cross comparison of matreotype expression profiles with aging and idiopathic pulmonary fibrosis lung profiles.This analysis revealed subtype-specific ECM signatures associated with tumor initiation that were predictive of premalignant progression. We identified an ECM-enriched tumor subtype associated with the poorest prognosis. In silico analysis indicates that matrix remodeling programs differentially activate intracellular signaling in tumor and stromal cells to reinforce matrix remodeling associated with resistance and progression. The matrix subtype with the poorest prognosis resembles ECM remodeling in idiopathic pulmonary fibrosis and may represent a field of cancerization associated with elevated cancer risk.Collectively, this analysis defines matrix-driven features of poor prognosis to inform precision medicine prevention and treatment strategies towards improving SqCC patient outcome.
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
研友_8yNl3L完成签到,获得积分10
刚刚
ET发布了新的文献求助10
刚刚
Sky发布了新的文献求助10
1秒前
592lyc发布了新的文献求助10
1秒前
在水一方应助啦啦啦啦啦采纳,获得10
1秒前
QJL发布了新的文献求助10
1秒前
忆仙姿完成签到,获得积分10
1秒前
TYTY给TYTY的求助进行了留言
1秒前
Poik完成签到,获得积分10
1秒前
天天快乐应助喜之郎采纳,获得10
2秒前
毛毛发布了新的文献求助10
2秒前
2秒前
若水发布了新的文献求助10
2秒前
2秒前
orixero应助hhhhhh采纳,获得10
3秒前
3秒前
SciGPT应助莫谷蓝采纳,获得10
5秒前
5秒前
111发布了新的文献求助10
5秒前
舒适的紫丝完成签到,获得积分10
5秒前
顺利墨镜完成签到,获得积分10
5秒前
majm完成签到,获得积分10
6秒前
6秒前
6秒前
一杯晨汁完成签到 ,获得积分10
6秒前
kerry28完成签到,获得积分10
7秒前
精明唯雪发布了新的文献求助30
7秒前
彭于晏应助世间再无延毕采纳,获得10
7秒前
Hettl完成签到,获得积分10
8秒前
听闻发布了新的文献求助10
8秒前
8秒前
8秒前
学术疯子完成签到,获得积分10
8秒前
kandad完成签到,获得积分10
8秒前
摆烂昊完成签到,获得积分10
9秒前
9秒前
怡宝儿发布了新的文献求助10
10秒前
zkylh应助包容冥王星采纳,获得10
10秒前
10秒前
梦希陌完成签到,获得积分10
11秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Conference Record, IAS Annual Meeting 1977 820
England and the Discovery of America, 1481-1620 600
Teaching language in context (Third edition) by Derewianka, Beverly; Jones, Pauline 550
電気学会論文誌D(産業応用部門誌), 141 巻, 11 号 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3582610
求助须知:如何正确求助?哪些是违规求助? 3151872
关于积分的说明 9490514
捐赠科研通 2854134
什么是DOI,文献DOI怎么找? 1569071
邀请新用户注册赠送积分活动 734899
科研通“疑难数据库(出版商)”最低求助积分说明 720926