A comprehensive prognostic and immune infiltration analysis of EXOC3L1 in pan-cancer

Abstract

Exocyst complex component 3 like 1 (EXOC3L1) is widely present in various human tissues, which mainly regulates insulin secretion. However, its roles in tumors remain unclear. In the present study, we aimed to investigate the roles of EXOC3L1 in pan-cancer, and the data was downloaded from of the University of California Santa Cruz (UCSC) Xena and the Cancer Genome Atlas (TCGA). The expression status of EXOC3L1 was studied in the TCGA_GTEx samples, TCGA samples and paired samples in TCGA, respectively. Subsequently, Kaplan-Meier analysis was applied to 33 kinds of tumors in TCGA, among the cancers that EXOC3L1 can affect prognosis, clinical correlation analysis and univariate Cox regression analysis were performed. Furthermore, representative cancers kidney renal clear cell carcinoma (KIRC) and lung squamous cell carcinoma (LUSC) with a sample size larger than 500 were selected to construct nomogram models to confirm the prognostic value of EXOC3L1 in cancers. Additionally, the associations of EXOC3L1 with immune cell infiltrations were performed as well. Mechanistically, functional enrichment analysis was performed to explore potential signaling pathways that EXOC3L1 may involve in. Our study found that EXOC3L1 was differentially expressed in a variety of tumors and was associated with the clinical outcomes and immune microenvironment of several tumors, it may affect the occurrence and development of tumors through NOTCH signaling pathway, PI3K-AKT signaling pathway and immune-related pathways. In conclusion, we propose that EXOC3L1 may serve as a potential prognostic biomarker and a promising target for cancer immunotherapy in a variety of cancers.

Detection and assessment of immune and stromal related risk genes to predict preeclampsia: A bioinformatics analysis with dataset

“…Growing evidence suggests that preeclampsia constitutes a severe gestational disorder characterized by pronounced inflammation within the maternal body, disrupting the functionality of the monocyte–macrophage system. [25] Immune cell infiltration analysis is a cutting-edge bioinformatic technique used to explore the diagnosis and prognosis of various diseases, including bladder, [26] breast, [27] colorectal, [28] and ovarian. [29] While numerous studies have diligently pursued molecular markers for diagnosing and treating PE through data exploration and analysis in databases like GEO, exploration of the immune and stromal cell infiltration landscape in PE and the molecular typing of immunomarkers remains unexplored.…”

Prognostic significance of the rhoGTPase RHOVand its role in tumor immune cell infiltration: a comprehensive pan‐cancer analysis

“…(Wilcoxon rank-sum test, ns, P > 0.05; *P < 0.05; **P < 0.01; ***P < 0.001). With the convenience of public databases such as The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), numerous researchers have investigated the association between specific genes and tumor immune infiltration, aiming to predict the efficacy of ICIs [8][9][10]12,25]. As RHOV participates in the differentiation of myeloid cells, especially along the monocyte lineage [26], we hypothesized that RHOV expression might correlate with TIICs.…”

“…Therefore, TIICs have attracted considerable research attention in recent years because they shape the immune response against cancer [ 6 ]. In particular, understanding the characteristics of TIICs and their relationship with tumor‐specific oncogenic alterations has become an important focus in data mining research [ 7 , 8 , 9 , 10 , 11 , 12 , 13 ].…”

Comprehensive pan-cancer analysis of the prognostic value of LOXL1

“…It is well known that cancer is a serious threat to human health, and as its morbidity and mortality rates are increasing year by year [1], it also imposes a heavy economic burden on countries around the world [2].Despite tremendous global efforts in diagnosis and treatment, the 5-year overall survival (OS)rate for most cancers remains low [3]. Therefore, there is an urgent global need to nd new ways to diagnose and treat cancer.…”