High STK40 Expression as an Independent Prognostic Biomarker and Correlated with Immune Infiltrates in Low-Grade Gliomas

Abstract

Background: Expression of STK40 is observed in some cancer types, while its role in lowgrade gliomas (LGG) is unclear. The present study aimed to demonstrate the relationship between STK40 and LGG based on The Cancer Genome Atlas (TCGA) database and bioinformatics analysis. Methods: Kruskal-Wallis test, Wilcoxon sign-rank test, and logistic regression were used to evaluate the relationship between clinicopathological features and STK40 expression. Kaplan-Meier method and Cox regression analysis were used to evaluate prognostic factors. Gene set enrichment analysis (GSEA) and immuno-infiltration analysis were used to determine the significant involvement of STK40 in function. Results: High STK40 expression in LGG was associated with WHO grade (P<0.001), IDH status (P<0.001), primary therapy outcome (P=0.027), 1p/19q codeletion (P<0.001) and histological type (P<0.001). High STK40 expression predicted a poorer overall survival (OS) (HR: 3.07; 95% CI: 2.09-4.51; P<0.001), progression-free survival (PFS) (HR:2.11; 95% CI: 1.59-2.81; P<0.001) and disease specific survival (DSS) (HR: 3.27; 95% CI: 2.17-4.92; P<0.001). STK40 expression (HR: 2.284; 95% CI: 1.125-4.637; P=0.022) was independently correlated with OS in LGG patients. GSEA demonstrated that pathways including cell cycle mitotic, neutrophil degranulation, signaling by Rho GTPases, signaling by interleukins, M phase, PI3K-Akt signaling pathway and naba secreted factors were differentially enriched in STK40 high expression phenotype. Immune infiltration analysis showed that STK40 expression was correlated with some types of immune infiltrating cells. Conclusion: STK40 expression was significantly correlated with poor survival and immune infiltration in LGG, and it may be a promising prognostic biomarker in LGG.

Decreased Expression of a Novel lncRNA FAM181A-AS1 is Associated with Poor Prognosis and Immune Infiltration in Lung Adenocarcinoma

“…For visualization, we used the survminer package [version 0.4.9] and for statistical analysis, we used the survival package [version 3.2–10]. 21 Molecule was FAM181A-AS1. Subgroups were 0–50 and 50–100.…”

“…Subgroups were 0–50 and 50–100. 21 Prognosis types were overall survival (OS), progression free survival (PFS), and disease specific survival (DSS). 21 DFS was defined as the time from surgical resection to local recurrence.…”

“… 21 Prognosis types were overall survival (OS), progression free survival (PFS), and disease specific survival (DSS). 21 DFS was defined as the time from surgical resection to local recurrence. We used RNAseq data in level 3 HTSeq-FPKM format from the TCGA LUAD project.…”

“…Statistical method was Cox regression module. 21 Prognosis type was OS. Included variables were clinical features and FAM181A-AS1.…”

“…R packages were rms package [version 6.2–0] and survival package [version 3.2–10]. 21 Prognosis type was OS. Included variables were clinical features and FAM181A-AS1.…”