| Literature DB >> 32259700 |
Yidan Sun1, Ying Zhang2, Shiqi Ren3, Xiaojiang Li2, Peiying Yang2, Jinli Zhu2, Lisen Lin2, Ziheng Wang4, Yingjie Jia5.
Abstract
Lung adenocarcinoma (LUAD) is a frequently diagnosed histologic subtype with increasing morbidity and mortality. RalGDS-Like 4 (RGL4) has not been reported to be associated with cancer risk, prognosis, immunotherapy or any other treatments. We perform a bioinformatics analysis on data downloaded from the Cancer Genome Atlas (TCGA)-LUAD, and we find that low expression of RGL4 is accompanied by worse outcomes and prognosis in LUAD patients. As a promising predictor, the potential influence and mechanisms of RGL4 on overall survival are worth exploring. Moreover, RGL4 expression is significantly associated with a variety of tumor-infiltrating immune cells (TIICs), particularly memory B cells, CD8+T cells and neutrophils. Subsequently, we evaluated the most notable KEGG pathways, including glycolysis gluconeogenesis, the P53 signaling pathway, RNA degradation, and the B cell receptor signaling pathway, among others. Our findings provide evidence that the decreased expression of RGL4 is significantly associated with poor prognosis and immune cell infiltration in patients with LUAD and highlight the use of RGL4 as a novel predictive biomarker for the prognosis of LUAD and other cancers. RGL4 may also be used in combination with immune checkpoints to identify the benefits of immunotherapy. Subjects: Bioinformatics, Genomics, Oncology, Thoracic surgery.Entities:
Keywords: Bioinformatics; Biomarkers; Immune infiltrate; Lung Adenocarcinoma; RGL4; TCGA
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Year: 2020 PMID: 32259700 DOI: 10.1016/j.intimp.2020.106454
Source DB: PubMed Journal: Int Immunopharmacol ISSN: 1567-5769 Impact factor: 4.932