2022
DOI: 10.1186/s12957-022-02543-z
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An integrated analysis of prognostic and immune infiltrates for hub genes as potential survival indicators in patients with lung adenocarcinoma

Abstract: Objective Lung adenocarcinoma (LUAD) is one of the major subtypes of lung cancer that is associated with poor prognosis. The aim of this study was to identify useful biomarkers to enhance the treatment and diagnosis of LUAD. Methods GEO2R was used to identify common up-regulated differentially expressed genes (DEGs) in the GSE32863, GSE40791, and GSE75037 datasets. The DEGs were submitted to Metascape for gene ontology and pathway enrichment analys… Show more

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Cited by 11 publications
(9 citation statements)
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“…Recently, Wang et al has discovered that SCLC-P was associated with smokers and is one of the poor prognostic factors of limited-stage small cell lung cancer [ 28 ]. Furthermore, AURKB, CCNB2, CDC20, CDCA5, CDCA8, CENPF, and KNTC1 are were highly expressed in lung cancer tissues and were associated with poor prognosis [ 29 ]. Lee et al have illustrated that EpCAM and TROP2 were significantly overexpressed in in non-small cell lung cancer [ 30 ].…”
Section: Discussionmentioning
confidence: 99%
“…Recently, Wang et al has discovered that SCLC-P was associated with smokers and is one of the poor prognostic factors of limited-stage small cell lung cancer [ 28 ]. Furthermore, AURKB, CCNB2, CDC20, CDCA5, CDCA8, CENPF, and KNTC1 are were highly expressed in lung cancer tissues and were associated with poor prognosis [ 29 ]. Lee et al have illustrated that EpCAM and TROP2 were significantly overexpressed in in non-small cell lung cancer [ 30 ].…”
Section: Discussionmentioning
confidence: 99%
“…Lung adenocarcinoma (LUAD) is one of the major subtypes of lung cancer that is associated with poor prognosis [ 14 , 15 ]. At present, the literature reports that the occurrence and development of lung adenocarcinoma are closely related to circular RNA [ 16 18 ], microRNA [ 19 , 20 ], and N6 methyladenosine [ 21 ].…”
Section: Discussionmentioning
confidence: 99%
“…Some scholars have also found some genes related to the differences and prognosis through biological information analysis [ 15 , 22 24 ], for example, EGFR, KRAS, PIK3CA, STEAP1/2, HOXA11, and TCN1. In addition, some scholars analyze its application value in clinical diagnosis and treatment by constructing a new prognostic model [ 14 , 21 , 25 , 26 ]. Therefore, the combination of bioinformatics technology to find possible diagnostic and prognostic markers of lung adenocarcinoma has become the key point.…”
Section: Discussionmentioning
confidence: 99%
“…Samples with MSI scores greater than 10 were classified as the positive group, and those with MSI scores not greater than 10 were classified as the negative group. In the MSI-positive and MSI-negative groups, the ggplot2, survivor and ggstatsplot packages were used to perform difference analysis, survival analysis and correlation analysis between TMB and the risk score [ 67 , 68 ].…”
Section: Methodsmentioning
confidence: 99%