GPR87 promotes tumor cell invasion and mediates the immunogenomic landscape of lung adenocarcinoma

Abstract

The purpose of this study is to examine the association between G protein-coupled receptor 87 (GPR87) and lung adenocarcinoma (LUAD) metastasis and immune infiltration. The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets extract clinical data. According to the TCGA database, increased GPR87 expression predicts poor overall survival, progression-free interval, and disease-specific survival in LUAD patients. The meta-analysis also reveals a significant association between high GPR87 expression and poor overall survival. Moreover, functional experiments demonstrate that GPR87 silencing reduces LUAD cell invasion and migration. Immunoblotting shows that GPR87 knockdown decreased Vimentin and N-cadherin expression and increased E-cadherin expression in LUAD cells. GPR87 expression in LUAD is positively correlated with immune infiltration. In addition, GPR87 expression is associated with immune and chemotherapy resistance in LUAD patients. Our findings indicate that GPR87 promotes tumor progression and is correlated with immune infiltration, suggesting GPR87 as a possible biomarker for prognosis prediction in LUAD.

ncRNAs-mediated TIMELESS overexpression in lung adenocarcinoma correlates with reduced tumor immune cell infiltration and poor prognosis

“…According to the ceRNA hypothesis [28], lncRNAs in the lncRNA-hsa-miR-1-3p -TIMELESS interaction network in LUAD should be oncogenic. Expression, survival and correlation analyses identified MIR4435−2HG as a candidate oncogenic lncRNA in the lncRNA-hsa-miR-1-3p -TIMELESS Research has revealed that some genes including circadian genes can alter tumor immune cell infiltration and influence prognosis [12,[33][34][35]. The present study adds to this evidence-…”

“…Research has revealed that some genes including circadian genes can alter tumor immune cell infiltration and influence prognosis [ 12 , 33 – 35 ]. The present study adds to this evidence-base.…”

Unveiling a Potential Prognostic Biomarker in KRAS-Mutant Lung Adenocarcinoma Using Weighted Gene Co-Expression Network Analysis

“…Our analysis of the microarray dataset GSE72094 has uncovered a perplexing discrepancy that challenges the prevailing understanding of LGR4's role in LUAD prognosis. Few studies have focused on the prognostic value of LGR4, while the majority of these studies and analyses [27][28][29][30], including our own TCGA analysis, have consistently associated higher expression levels of LGR4 with worse OS in LUAD patients, our validation results based on the microarray dataset revealed a strikingly contrasting pattern. Surprisingly, we observed that lower expression levels of LGR were correlated with poor OS, in direct opposition to the established consensus.…”

Identification of LGR4 as a prognostic biomarker in KRAS-mutant lung adenocarcinoma: Evidence from integrated bioinformatics analysis

“…Our analysis of the microarray dataset GSE72094 has uncovered a perplexing discrepancy that challenges the prevailing understanding of LGR4 role in LUAD prognosis. Few studies have focused on the prognostic value of LGR4, while the majority of these studies and analyses, [48–51] including our own TCGA analysis, have consistently associated higher expression levels of LGR4 with worse OS in LUAD patients, our validation results based on the microarray dataset revealed a strikingly contrasting pattern. Surprisingly, we observed that lower expression levels of LGR were correlated with poor OS, in direct opposition to the established consensus.…”