2021
DOI: 10.7717/peerj.10749
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Identification of an immune prognostic 11-gene signature for lung adenocarcinoma

Abstract: Background The immunological tumour microenvironment (TME) has occupied a very important position in the beginning and progression of non-small cell lung cancer (NSCLC). Prognosis of lung adenocarcinoma (LUAD) remains poor for the local progression and widely metastases at the time of clinical diagnosis. Our objective is to identify a potential signature model to improve prognosis of LUAD. Methods With the aim to identify a novel immune pro… Show more

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Cited by 7 publications
(7 citation statements)
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“…In our study, the effect of the TME on the prognosis of LUAD was investigated by mining the TCGA database. Consistent with previous reports, 13 , 24 , 25 our results showed that high values for the StromalScore, ImmuneScore and ESTIMATEScore improved the prognosis of LUAD. However, most of these researches focused on protein-coding genes.…”
Section: Discussionsupporting
confidence: 93%
“…In our study, the effect of the TME on the prognosis of LUAD was investigated by mining the TCGA database. Consistent with previous reports, 13 , 24 , 25 our results showed that high values for the StromalScore, ImmuneScore and ESTIMATEScore improved the prognosis of LUAD. However, most of these researches focused on protein-coding genes.…”
Section: Discussionsupporting
confidence: 93%
“…The highest AUC score was 0.717. 42 One study established nomogram based on immune-infiltrating Treg-related genes for LUAD individuals, and the AUC values were found to be good (3-year AUC: 0.733; 5-year AUC: 0.777). 43 The performance of the nomogram may also have discrimination ability and calibration accuracy, so ROC curves and calibration curves should be performed using the training, testing, and validation cohorts.…”
Section: Discussionmentioning
confidence: 99%
“…Then, all samples were randomly divided into the train cohort and the test cohort. Univariate and multivariate analyses and LASSO regression analysis were used to construct the UVM prognostic prediction model [ 17 ]. The relative expression levels of FAM-lncRNAs in each sample were then multiplied by the risk factors and added together to obtain the risk score for each sample [ 18 ].…”
Section: Methodsmentioning
confidence: 99%