Identification and validation of an immune cell infiltrating score predicting survival in patients with lung adenocarcinoma.

ABSTRACT:

Background

Immune infiltration may predict survival and have clinical significance in lung cancer. However, immune signatures derived from immune profiling based on bulk tumor transcriptomes have not been systematically established in lung adenocarcinoma. We aimed to construct an immune cell infiltrating score, using a new algorithm for evaluating immune infiltration, to improve the prognostic model of lung adenocarcinoma.

Methods

Public datasets of lung adenocarcinoma from the Gene Expression Omnibus and The Cancer Genome Atlas were adopted as the training and validation cohorts. Fractions of different immune cell subtypes in each sample were estimated using the CIBERSORT algorithm. The immune infiltrating score was further developed by a least absolute shrinkage and select

SUBMITTER: Yang X 

PROVIDER: S-EPMC6615164 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature