Identification of Six Novel Prognostic Gene Signatures as Potential Biomarkers in Small Cell Lung Cancer

肺癌 比例危险模型 生物 基因 单变量 微阵列 微阵列分析技术 接收机工作特性 逐步回归 癌症 生存分析 计算生物学 基因表达 肿瘤科 生物信息学 多元统计 内科学 医学 遗传学 计算机科学 机器学习
作者
Cailian Wang,Shicheng Feng,Xiuxiu Zhang,Xuyu Gu,Min Zhou,Yan Chen
出处
期刊:Combinatorial Chemistry & High Throughput Screening [Bentham Science Publishers]
卷期号:26 (5): 938-949 被引量:7
标识
DOI:10.2174/1386207325666220427121619
摘要

As a subgroup of lung cancer, small cell lung cancer (SCLC) is characterized by a short tumor doubling time, high rates of early occurred distant cancer spread and poor outcomes. Our study aimed to identify novel molecular markers associated with SCLC prognosis.Microarray data from the Gene Expression Omnibus (GEO) database of SCLC tumors and paired normal tissues were obtained. In the dataset, Differentially expressed genes (DEGs) which were identified by comparing gene expression between normal lung and SCLC samples, were screened using the R language. The STRING database was used to map protein-protein interaction (PPI) networks, and these were visualized with the Cytoscape software. Go enrichment analysis and prediction were performed using the Metascape database and the results were visualized. Autophagy-related prognostic genes were identified by univariate COX regression analysis. Subsequently, stepwise model selection using the Akaike information criterion (AIC) and multivariate COX regression model was performed to construct DEGs signature. Survival receiver operating characteristic (ROC) analysis was used to assess the performance of survival prediction. At last, we evaluated the differences in drug sensitivity of the two groups of patients to common chemotherapeutic drugs and small-molecule targeted drugs.A total of 441 identified DE genes, including 412 downregulated and 29 upregulated genes were identified. GO enrichment analyses showed that DEGs were significantly enriched in the collagen-containing extracellular matrix and extracellular matrix organization. 16 genes were individually associated with OS in univariate analyses. The high expression of 6 genes (HIST1H4L, RP11-16O9.2, SNORA71A, SELV, FAM66A and BRWD1-AS1)) was associated with the poor prognosis of SCLC patients. To predict patients' outcomes, we developed an individual's risk score model based on the 6 genes. We found that SCLC patients with a low-risk score had significantly better survival than those with a high-risk score. What's more, association analysis between clinicopathological factors and gene signature showed the risk score was higher in patients with higher clinical stage or T stage. What's more, the patients in the high-risk score group had better treatment effects for etoposide and docetaxel. This suggests that our model can guide clinical treatment decisions.A novel six-gene signature was determined for prognostic prediction in SCLC. Our findings may provide new insights into the precise treatment and prognosis prediction of 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
Mr兔仙森完成签到,获得积分10
刚刚
LJJ发布了新的文献求助10
1秒前
1秒前
Culto完成签到,获得积分10
2秒前
3秒前
JIE完成签到,获得积分10
3秒前
houjibofa发布了新的文献求助10
4秒前
田様应助幽默平安采纳,获得10
7秒前
可爱的函函应助刘小小123采纳,获得10
8秒前
瓣落的碎梦完成签到,获得积分0
10秒前
善学以致用应助momo采纳,获得10
11秒前
孝顺的觅风完成签到 ,获得积分10
11秒前
13秒前
刘小小123发布了新的文献求助10
16秒前
健壮的面包完成签到,获得积分10
16秒前
19秒前
孙燕应助科研界的恩希玛采纳,获得20
22秒前
23秒前
迷茫的一代完成签到,获得积分10
25秒前
量子星尘发布了新的文献求助10
25秒前
xingxingwang完成签到,获得积分10
26秒前
春来发布了新的文献求助30
27秒前
28秒前
28秒前
刘小小123完成签到,获得积分20
28秒前
xzy完成签到 ,获得积分10
29秒前
搜集达人应助无情向梦采纳,获得10
31秒前
阿伟1999发布了新的文献求助50
33秒前
momo发布了新的文献求助10
34秒前
li完成签到,获得积分10
35秒前
如此发布了新的文献求助10
37秒前
38秒前
赵静1234567890完成签到,获得积分10
38秒前
xxxllllll发布了新的文献求助10
42秒前
科研通AI2S应助科研通管家采纳,获得10
42秒前
Owen应助科研通管家采纳,获得10
42秒前
乐乐应助科研通管家采纳,获得10
42秒前
科研通AI5应助科研通管家采纳,获得10
42秒前
YamDaamCaa应助科研通管家采纳,获得50
42秒前
科研通AI5应助科研通管家采纳,获得10
42秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
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 3989334
求助须知:如何正确求助?哪些是违规求助? 3531428
关于积分的说明 11253936
捐赠科研通 3270119
什么是DOI,文献DOI怎么找? 1804887
邀请新用户注册赠送积分活动 882087
科研通“疑难数据库(出版商)”最低求助积分说明 809173