Dataset Information


An individualized immune prognostic signature in lung adenocarcinoma.

ABSTRACT: Background:Tumor immune infiltration is closely associated with clinical outcome in lung cancer. We aimed to develop an immune signature to improve the prognostic predictions of lung adenocarcinoma (LUAD). Methods:We applied "Cell type Identification by Estimating Relative Subsets of RNA Transcripts" method to quantify the fraction of 22 leukocyte cells from six public microarray datasets. Four datasets from GPL570 were treated as the training cohort and two datasets from GPL96 and GPL10379 as the validation cohorts. An immune risk score (IRS) based on leukocyte cell fraction was established by least absolute shrinkage and selection operator cox regression model. Results:IRS consisting of 6 types of leukocytes was constructed in the training dataset. In the training cohort (520 patients), the IRS stratified patients into high-IRS group (215 patients) and low-IRS group (305 patients) with significant differences in overall survival (OS) (HR: 2.77, 95% CI 2.08-3.06). Multivariate analysis including age, gender, stage, IRS and tumor purity revealed the IRS to be an independent prognostic factor in all datasets (training: HR: 10.71, 95% CI 5.72-20.07; validation-1: HR 2.68, 95% CI 1.15-6.27; validation-2: HR 3.71, 95% CI 1.33-10.33); all p?


PROVIDER: S-EPMC7206750 | BioStudies | 2020-01-01

SECONDARY ACCESSION(S): 10.18632/aging.101550

REPOSITORIES: biostudies

altmetric image


A seven-long noncoding RNA signature predicts overall survival for patients with early stage non-small cell lung cancer.

Lin Ting T   Fu Yunong Y   Zhang Xing X   Gu Jingxian J   Ma Xiaohua X   Miao Runchen R   Xiang Xiaohong X   Niu Wenquan W   Qu Kai K   Liu Chang C   Wu Qifei Q  

Aging 20180901 9

Non-small cell lung cancer (NSCLC) is the most common cancer and cause of cancer-related mortality globally. Increasing evidence suggested that the long non-coding RNAs (lncRNAs) were involved in cancer-related death. To explore the possible prognostic lncRNA biomarkers for NSCLC patients, in the present study, we conducted a comprehensive lncRNA profiling analysis based on 1902 patients from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) datasets. In the discovery phase, we em  ...[more]

Similar Datasets

2020-01-01 | S-EPMC7542703 | BioStudies
2019-01-01 | S-EPMC6399972 | BioStudies
2020-01-01 | S-EPMC7060601 | BioStudies
2020-01-01 | S-EPMC7339160 | BioStudies
2020-01-01 | S-EPMC7452643 | BioStudies
2017-01-01 | S-EPMC5362451 | BioStudies
2020-01-01 | S-EPMC7350533 | BioStudies
2020-01-01 | S-EPMC7138293 | BioStudies
2020-01-01 | S-EPMC7273488 | BioStudies
2018-01-01 | S-EPMC6101016 | BioStudies