ARL14 as a Prognostic Biomarker in Non-Small Cell Lung Cancer

Introduction

Lung cancer is the most commonly diagnosed cancer worldwide and the leading cause of cancer-related deaths (18.4% of the total cancer deaths).¹ Non-small cell lung cancer (NSCLC) accounts for 83% of all lung cancer cases with a 5-year survival rate of 23% after diagnosis.² Lung adenocarcinomas (LUADs) and squamous cell cancers (LUSCs) are the most significant NSCLC subgroups.³ Despite the development of medical technology such as increasing immunotherapy, the prognosis for NSCLC remains poor, which highlights the need to identify oncogenic and tumor-suppressive genes related to patient prognosis as molecular biomarkers.^4–7

ADP ribosylation factor-like GTPase 14 (ARL14), also known as ARF7 and FLJ22595, is a protein-coding gene that participates in GTP binding and signal transduction.^8,9 It is a member of the ADP ribosylation factor (ARF) family of GTP-binding proteins of the Ras superfamily. The primary function of ARF family proteins is to mediate the recruitment of cytosolic effectors to specific membrane compartments.^10–12 As central control elements, GTPases participate in signal transduction pathways, which touch almost every aspect of cell biology.¹³ Recently, some studies have shown that ARL14 plays a key role in a wide range of biological processes such as intracellular protein transport and vesicle-mediated transport.¹⁴ The methylation level of ARL14 is positively related to poor survival in patients with bladder cancer.¹⁵ The homolog of ARL14, ARF3, is reported to be poorly expressed in gastric cancer and may act as a potential biomarker for gastric cancer prognosis.¹⁶ ARF6, a homolog of ARL14, can promote pancreatic cancer development by enhancing the Warburg effect.¹⁷ However, few studies on the relationship between ARL14 and cancer have been reported. Therefore, this study aimed to assess the level of ARL14 in NSCLC and investigate the correlation between ARL14 expression and prognosis and clinicopathological indicators of NSCLC.

We used LUAD and LUSC messenger RNA (mRNA) expression data from The Cancer Genome Atlas (TCGA) database to compare the difference in ARL14 expression between tumor tissues and normal samples and evaluated the correlation between ARL14 expression levels and clinical pathological features. Immunohistochemistry (IHC) was also used to investigate the difference in ARL14 expression between tumor tissues and normal samples. We evaluated the prognostic value of ARL14 in NSCLC. We also investigated the biological pathways related to ARL14 using gene set enrichment analysis (GSEA). The correlation between ARL14 expression and immune infiltration revealed its possible functions. Our results suggest that ARL14 may act as a promising prognostic biomarker for NSCLC.

Materials and Methods

Bioinformatics Analysis Based on TCGA Database

mRNA expression data, corresponding clinical information, and survival data of TCGA-LUAD (594 samples, workflow type: HTSeq-FPKM) and TCGA-LUSC (551 samples, workflow type: HTSeq-FPKM) were obtained from TCGA database (https://cancergenome.nih.gov, free database, Table S1). The LUAD dataset included 535 tumor tissues and 59 normal tissues, whereas the LUSC dataset included 502 cancer tissues and 49 normal tissues (Table 1). A total of 517 patients with LUAD and 496 patients with LUSC had complete survival data.

Table 1 Correlation Between ARL14 Expression and Clinicopathological Characteristics in LUAD and LUSC

Sample Collection

All patients were initially diagnosed with NSCLC. A total of 120 human NSCLC tissues and 120 adjacent normal lung tissues (samples were taken approximately more than 5 cm from the edge of the tumor) were fixed in formalin and embedded in paraffin for IHC after surgical removal. None of the selected patients had any history of other malignant tumors, immune dysfunction, and preoperative radiotherapy or chemotherapy. Two pathologists provided a diagnosis and defined histological typing and tumor staging according to the 8th edition of the tumor, node, metastasis (TNM) staging system for lung cancer.¹⁸ Follow-up data for patients expired on December 30, 2020, or the date of death. All the patients we registered provided the following clinical and pathologic information: age, sex, operative methods, smoking history, tumor size, pathological type, pathological stage, T stage, N stage, M stage, tumor differentiation, treatment after surgery, follow-up status, tumor recurrence and progression, overall survival (OS) time, and progression-free survival time (PFS) (Table 2). This study was approved by the Medical Ethics Committee.

Table 2 Correlation Between ARL14 Expression and Clinicopathological Characteristics in 120 Patients with NSCLC

IHC

The experiments were performed similar to previously described.^19,20 After deparaffinization in xylene and rehydration in a graded ethanol series, antigen retrieval was performed in citrate-buffered solution (pH 6.0). To block endogenous peroxidase, 10% normal goat serum was used for blocking. They were incubated overnight at 4°C with an anti-ARL14 antibody. After washing with phosphate-buffered saline (PBS), they were incubated for one hour at room temperature with a secondary antibody. They were stained with 3, 3-diaminobenzidine tetrahydrochloride (DAB), counterstained with hematoxylin, dehydrated, cleared, and evaluated. Cytoplasmic staining was identified as positive for ARL14 expression in tumors.

Two independent pathologists evaluated ARL14 expression under light microscopy at 400× magnification, according to the following criteria: (i) intensity of staining: 0 (negative staining), 1 (mild staining), 2 (moderate staining), and 3 (intense staining); (ii) percentage of immunopositive cells (five randomly selected visual fields at 400× magnification of each slide): 0 (0%), 1 (1–25%), 2 (26–50%), 3 (51–75%), 4 (76–100%). Final scores ranging from 0 to 12 were obtained by multiplying the above two scoring systems. We defined 0–2 points as negative expression, while 3–6 points as low ARL14 expression and 7–12 points as high ARL14 expression.²¹

Enrichment Analyses

Enrichment analyses were performed for LUAD and LUSC. Correlation analysis between ARL14 and other mRNAs in LUAD and LUSC was performed using TCGA data, and the Pearson correlation coefficient was calculated. The top 1200 genes most associated with ARL14 were selected for enrichment analysis. We used the R clusterProfiler package for GO and KEGG analysis.²² GSEA was also performed using the gseGO, gseKEGG, and gsePathway functions of the R package “clusterProfiler”.²² |NES| > 1, adjusted P < 0.05, and FDR < 0.25 were considered statistically significant.

Immune Cell Infiltration

The immune infiltration analysis of LUAD and LUSC was performed using ssGSEA (within GSVA package).²³ We also evaluated the relationship between ARL14 expression and the abundance of 24 immune cell types. We also evaluated the relationship Using the Spearman and Wilcoxon rank sum tests, P < 0.05 was regarded as statistically significant.

Statistical Analysis

All statistical analyses of TCGA data were conducted using R. The expression levels of ARL14 in patients were determined using the ggplot2 package.²⁴ The SPSS statistical software program and GraphPad Prism were used to analyze the data and generate figures for 120 patients with NSCLC. Wilcoxon signed-rank test, Chi-square test, and Fisher’s exact test were performed to analyze the association between clinical features and ARL14 expression. Kaplan–Meier analysis was used to evaluate the prognostic value of ARL14 in NSCLC using a Log rank test. A Cox proportional-hazards regression model was used for the univariate and multivariate analyses of survival. Factors that showed statistical significance in univariate analysis (P<0.05) were included in multivariate analysis to identify independent risk factors. A nomogram was constructed to predict 1-, 3- and 5-year NSCLC overall survival by combining the expression value of ARL14 with clinical variables. Statistical significance was set at P < 0.05.

Results

High ARL14 Expression in LUAD and LUSC

A total of 535 patients with LUAD and 502 patients with LUSC presenting the required clinical features were acquired from TCGA data. The detailed clinical features are shown in Table 1. Among the participants, 249 patients with LUAD were male (46.6%), and 286 were female (53.4%), while 371 patients with LUSC were male (73.9%), and 131 were female (26.1%). The median ages of these patients were 66 and 68 years, respectively. In terms of the LUAD stage, 294 patients were at stage I (55.8%), 123 patients were at stage II (23.3%), 84 patients were at stage III (15.9%), and 26 patients were at stage IV (5.0%). In LUSC, there were 245 (49.2%) patients at stage I, 162 (32.6%) at stage II, 84 (16.8%) at stage III, and seven (1.4%) at stage IV. Most participants smoked, including patients with LUAD 446 (85.6%) and LUSC 472 (96.4%).

To assess the status of ARL14 expression in patients with NSCLC, we compared the expression levels to those in normal lung tissues. The results demonstrated that ARL14 gene expression levels in both LUAD and LUSC tissues were significantly higher than those in normal tissues (P < 0.001; Figure 1A and C). The results were verified in LUAD and LUSC tissues and paired normal lung tissues (P < 0.001; Figure 1B and D).

Figure 1 ARL14 expression in LUAD and LUSC. (A) ARL14 expression in LUAD tissues and normal samples. (B) ARL14 expression in LUAD tissues and paired normal samples. (C) ARL14 expression in LUSC tissues and normal samples. (D) ARL14 expression in LUSC tissues and paired normal samples.

Furthermore, different ARL14 expression was observed in groups based on age, sex, race, smoking history, T stage, N stage, M stage, and pathologic stage (Figures 2, S1A–K). The ARL14 expression in patients LUAD in T3/T4 stage was higher than that in patients in T1/T2 stage (P = 0.007; Figure 2A), while there was no significant difference in patients with LUSC (P = 0.911; Figure S1I). Patients with LUAD who were in the high pathologic stage had higher ARL14 expression than patients in the low pathologic stage (P = 0.012; Figure 2B). However, high expression of ARL14 was not significantly correlated with other clinical features in LUAD (Figure S1A–F). High expression of ARL14 was significantly correlated with age (P < 0.001), race (P = 0.045), and N stage (P = 0.007) in LUSC, as shown in Figure 2C–E.

Figure 2 Correlation between ARL14 expression and clinicopathologic features in patients with LUAD and LUSC in TCGA database (P < 0.05). (A and B) The correlation between ARL14 expression and T stage (A) and pathologic stage (B) of patients with LUAD. (C–E) The correlation between the expression of ARL14 and age (C), N stage (D) and race (E) of patients with LUSC.

Correlation Between Clinical Characteristics and ARL14 Expression of LUAD and LUSC

The associations between clinical characteristics and ARL14 expression in LUAD and LUSC were investigated. The patients were divided into high- and low-expression groups based on ARL14 expression. The Chi-square test or Fisher’s exact test revealed that ARL14 expression was associated with residual tumor (P = 0.017) in LUAD, while it was associated with age (P = 0.003) and N stage (P = 0.009) in LUSC (Table 1).

High ARL14 Expression is an Independent Risk Factor for OS in Patients with LUAD and LUSC

The association between ARL14 expression and OS in patients with LUAD and LUSC was evaluated by Kaplan–Meier analysis, which indicated that high expression of ARL14 was positively correlated with the poor OS of patients with LUAD (P = 0.03; Figure 3A) and LUSC (P = 0.022; Figure 3G). Subgroup analysis indicated that ARL14 overexpression significantly affected the OS in LUAD in T3/T4 stage (P = 0.005), N1/N2/N3 (P = 0.048), M0 (P = 0.033), female (P = 0.023), and R0 (P = 0.048) (Figure 3B–F). In LUSC, ARL14 overexpression significantly affected the OS in patients aged ≤ 65 years (P = 0.025), smokers (P = 0.029), in T1/T2 stage (P = 0.007), N1/N2/N3 (P = 0.046), pathologic stage II/III/IV (P = 0.008), and R0 (P = 0.01) (Figure 3H–M).

Figure 3 Kaplan–Meier curve for OS in LUAD and LUSC. (A) Kaplan–Meier analysis for ARL14 in LUAD; (B–F) Subgroup analysis for T3/T4, N1/N2/N3, M0, female, and R0 in LUAD. (G) Kaplan–Meier analysis for ARL14 in LUSC; (H–M) Subgroup analysis for age ≤65 years, smoker, T1/T2, N1/N2/N3, pathologic stage II/III/IV, and R0 in LUSC.

Univariate Cox regression analysis revealed that higher ARL14 expression, advanced clinical stage, more residual tumor, distant metastasis, and positive lymph nodes were correlated with OS, while multivariate analysis showed that ARL14 expression was an independent risk factor for OS in patients with LUAD (Table 3). Similar results were found in patients with LUSC (Table 3). Then, we constructed prognostic nomograms to anticipate the individuals’ survival probability by weighing T stage, N stage, M stage, pathologic stage, residual tumor, and ARL14 expression in LUAD and LUSC respectively. A C-index was used to appraise the nomogram’s predictive discrimination. In our prognostic nomogram, the C-index was 0.676 in LUAD and 0.594 in LUSC (Figure 4).

Table 3 Correlations Between Overall Survival and Expression of ARL14 Analyzed by Univariate and Multivariate Cox Regression in LUAD and LUSC

Figure 4 Nomogram for predicting probability of patients with 1-, 3- and 5-year OS. (A) Nomogram for predicting probability of patients with LUAD in TCGA database. (B) Nomogram for predicting probability of patients with LUSC in TCGA database.

ARL14 Overexpression in NSCLC Tissues Was Shown Using IHC

IHC was performed on 120 human NSCLC tissues and 120 adjacent normal lung tissues. The clinicopathological factors of the 120 patients with NSCLC are illustrated in Table 2. Forty female and 80 male patients were included in the study. Regarding smoking history, 78 patients had a history of smoking, and 42 patients were non-smokers. Regarding the pathologic stage, 66 patients were at stage I, 27 patients were at stage II, 23 patients were at stage III, and four patients were at stage IV. Surgical operations included lobectomy in 111 patients, pneumonectomy in four, sleeve lobectomy in two, and wedge resection or segmentectomy in three. IHC staining of ARL14 showed high expression levels in 46 cases and low expression levels in 74 cases.

ARL14 expression was upregulated in NSCLC tissues compared to adjacent normal lung tissues (P < 0.05; Figure 5A). High and low ARL14 expression levels in NSCLC tissues and adjacent normal lung tissues detected by immunohistochemical staining are shown in Figure 5B–D. This result is consistent with the conclusion obtained using TCGA database.

Figure 5 IHC staining and survival analysis of ARL14 in human NSCLC. (A) ARL14 expression of IHC on 120 human NSCLC tissues and 120 adjacent normal lung tissues. (B) Immunohistochemical staining for ARL14 expression in adjacent normal lung tissues (×400). (C) Immunohistochemical staining for low ARL14 expression in NSCLC tissues (×400). (D) Immunohistochemical staining for high ARL14 expression in NSCLC tissues (×400). (E) Kaplan–Meier plots of OS according to ARL14 expression. (F) Kaplan–Meier plots of PFS according to ARL14 expression.

Correlation Between ARL14 Expression and Clinicopathologic Characteristics in NSCLC Tissue Samples

Compared to the adjacent normal lung tissues in which ARL14 was undetectable or found to be only expressed at low levels, ARL14 was overexpressed in NSCLC tissues. The association between ARL14 expression and diverse clinicopathological factors is shown in Table 2. High levels of ARL14 were significantly associated with differentiation (P = 0.011). However, no significant associations were observed between ARL14 and sex (P = 0.288), age (P = 0.222), smoking history (P = 0.125), type of operation (P = 0.125), tumor size (P = 0.98), histological classification (P = 0.253), T classification (P =0.345), N classification (P = 0.944), M classification (P = 0.625), and clinical stage (P = 0.488).

High ARL14 Protein Levels Predicted Poor Survival of 120 Patients with NSCLC

Cox regression analysis was used to determine whether ARL14 could serve as a risk factor. As shown in Table 4, high expression of ARL14 was associated with a significantly increased risk of death in patients with NSCLC (hazard ratio (HR) 0.213, 95% confidence interval (CI) 0.125–0.364; P < 0.001) compared to those with low ARL14 expression by univariate Cox regression analyses. Furthermore, the results of univariate analysis demonstrated that age (HR 2.388, 95% CI 1.427–3.996; P = 0.001), differentiation (HR 0.558, 95% CI 0.382–0.814; P = 0.002), M classification (HR 5.611, 95% CI 1.952–16.126; P = 0.001), and clinical stage (HR 1.419, 95% CI 1.064–1.894; P = 0.017) were the key factors leading to poorer OS in patients with NSCLC. Multivariate Cox regression analysis showed that ARL14 expression (HR 0.248, 95% CI 0.140–0.440; P < 0.001) was an independent prognostic factor for OS (Table 4). The results of univariate analysis of PFS were similar to those observed in OS, with ARL14 expression (HR 0.23, 95% CI 0.135–0.392; P < 0.001), age (HR 2.529, 95% CI 1.509–4.24; P < 0.001), differentiation (HR 0.574, 95% CI 0.394–0.835; P = 0.004), M classification (HR 4.177, 95% CI 1.458–11.973; P = 0.008), and clinical stage (HR 1.403, 95% CI 1.054–1.866; P =0.02). In multivariate analysis, age (HR 1.929, 95% CI 1.127–3.302; P = 0.017) and ARL14 expression (HR 0.279, 95% CI 0.158–0.491; P < 0.001) were independent predictors of PFS, as shown in Table 4.

Table 4 Univariate and Multivariate Analyses of OS and PFS in 120 Patients with NSCLC

Kaplan–Meier survival curves indicated that the OS (HR 4.329, 95% CI 2.429–7.715; P < 0.001) and PFS (HR 4.122, 95% CI 2.328–7.298; P < 0.001) of patients with high expression of ARL14 were significantly shorter than those of patients with low ARL14 expression (Figure 5E and F). Collectively, these results demonstrate that overexpression of ARL14 in patients with NSCLC correlated with poor survival. These results are similar to those of TCGA cohort.

Correlation and Enrichment Analyses

We performed a correlation analysis between ARL14 and other genes in LUAD and LUSC using TCGA data to predict the function of ARL14, with the top 50 genes most positively and the top 50 genes most negatively associated with ARL14 (Figure 6A–D). The top 1200 genes that were most associated with ARL14 were selected for enrichment analysis using the clusterProfiler R package. In LUAD, GO analysis revealed that ARL14 was primarily involved in cell growth and differentiation terms, including epidermal development, cell-substrate junction, cell adhesion mediator activity, cell adhesion molecule binding, and cell junction organization (Figure 7A–C). Moreover, the related genes were involved in focal adhesion and NOD-like receptor signaling pathways, according to KEGG functional enrichment analysis (Figure 7D). We also conducted GO terms and KEGG pathway enrichment in LUSC, which indicated that ARL14 was mainly related to DNA replication (Figure 7E–H). Figure 7A–H shows the most significant GO terms for biological process, cellular component, and molecular function, as well as KEGG pathways.

Figure 6 Correlation analysis of ARL14 in LUAD and LUSC. (A) Top 50 genes most positively associated with ARL14 in patients with LUAD were shown in a heatmap. (B) Top 50 genes most negatively associated with ARL14 in patients with LUAD were shown in a heatmap. (C) Top 50 genes most positively associated with ARL14 in patients with LUSC were shown in a heatmap. (D) Top 50 genes most negatively associated with ARL14 in patients with LUSC were shown in a heatmap. *p< 0.05; **p<0.001.

Figure 7 Enrichment analysis of ARL14 in LUAD and LUSC. (A–C) Significant Gene Ontology terms of the top 1200 genes most associated with ARL14 in LUAD, including BP, MF, and CC. (D) Significant KEGG pathways of the top 1200 genes most associated with ARL14 in LUAD. (E–G) Significant Gene Ontology terms of the top 1200 genes most associated with ARL14 in LUSC, including BP, MF, and CC. (H) Significant KEGG pathways of the top 1200 genes most associated with ARL14 in LUSC.

GSEA was performed to identify the signaling pathways that are activated in LUAD and LUSC. The results showed that pathways for neutrophil degranulation, signaling by interleukins, and extracellular matrix organization were differentially enriched in the positively correlated with ARL14 expression phenotype in LUSC. For LUAD, gene sets related to keratinization, positive epigenetic regulation of rRNA expression, and deacetylate histones (HDACS) showed differential enrichment in the high ARL14 gene expression phenotype (Figure 8).

Figure 8 Enrichment plot from the GSEA. Enrichment plots of (A) keratinization, (B) systemic lupus erythematosus, (C) formation of the cornified envelope, (D) positive epigenetic regulation of RRNA expression, and (E) HDACS deacetylate histones in LUAD cases with high ARL14 expression. Gene set enrichment plots of (F) neutrophil degranulation, (G) signaling by interleukins, (H) NABA secreted factors, (I) class A1 rhodopsin like receptors, and (J) extracellular matrix organization in LUAD or LUSC cases with high ARL14 expression. Abbreviations: NES, normalized NS; FDR, false discovery rate.

Correlation Between Immune Cell Infiltration and ARL14

Tumor-infiltrating lymphocytes affect the survival of patients with various cancers. Thus, we further analyzed the correlation between the expression of ARL14 and immune infiltration by ssGSEA with Spearman r. The correlation between ARL14 expression levels and 24 immune cells was observed in the forest plots (Figure 9A and E). The results showed that ARL14 expression was negatively correlated with infiltration levels of follicular helper T cells (TFH) (P < 0.001; Figure 9B), and positively correlated with that of activated dendritic cells (aDC) and T-helper 1 cells (Th1) (P < 0.001; Figure 9C and D) in LUAD. However, there was no significant correlation between ARL14 expression and the number of infiltrated TFH cells (P = 0.4; Figure 9F) in LUSC. The results showed that the expression level of ARL14 was positively correlated with infiltrating levels of neutrophils (P < 0.001) and Th1 cells (P < 0.001) in LUSC (Figure 9G and H).

Figure 9 Correlation between immune cell infiltration and ARL14 in LUAD and LUSC. The forest plots showed the association between ARL14 expression and 24 immune cells in LUAD (A) and LUSC (E), respectively. (B) The relationship between ARL14 expression and TFH in LUAD. (C) The relationship between ARL14 expression and aDC in LUAD. (D) The relationship between ARL14 expression and Th1 in LUAD. (F) The relationship between ARL14 expression and TFH in LUSC. (G) The relationship between ARL14 expression and neutrophils in LUSC. (H) The relationship between ARL14 expression and Th1 in LUSC.

Discussion

Lung cancer is one of the most common diseases among humans, ranking at the top for the diagnosis and deaths in both sexes combined according to the database generated by the International Agency of Research on Cancer (IARC) Global Cancer Observatory in 2018.¹ Patients with NSCLC account for the majority of lung cancer cases. It is essential to identify biomarkers for tumorigenesis and poor outcomes in NSCLC.

ARL14, a member of the Ras superfamily, is reported to have an important relationship with the occurrence and development of human tumors.¹³ The ARL14 protein is involved in apoptosis signaling and several regulatory pathways.^25–30 Its homologous similar genes play an important role in human tumors; for example, ARF4 is involved in breast cancer cell migration as reported by Jang et al.³¹

Our study indicated that ARL14 protein appeared to be a promising candidate as a therapeutic target and prognostic predictor. Using bioinformatics analysis based on online datasets, survival analysis revealed the prognostic value of ARL14 in NSCLC. Indeed, this result was consistent with our IHC analysis and survival analysis results of the included patients with NSCLC.

Inflammation marked by the recruitment of leukocytes and HDACS reversibly regulates the acetylation status of histone and non-histone proteins, which are considered to be correlated with the development and metastasis of cancer.^32,33 GSEA showed that inflammation-related pathways such as neutrophil degranulation and signaling by interleukins were positively correlated with ARL14 expression phenotype in LUSC, and HDACS showed differential enrichment in the high ARL14 gene expression phenotype in LUAD. Thus, ARL14 expression may be related to the occurrence and development of tumors.

Tumors use several immune processes to escape immune surveillance such as targeting regulatory T cell function or its secretions and changing the production of immunosuppressive mediators.³⁴ The invasion of NSCLC is related to immune regulation functions of the body such as changes in the Th1/Th2 cytokine ratio and T-cell infiltration.^34–36 Our study indicated that the level of ARL14 was positively correlated with infiltrating levels of Th1 cells and T cells in LUAD and LUSC, which was consistent with previous reports. The high number and abnormal function of TFH cells can be related to immunosuppression and development of tumors in NSCLC.^37,38 In addition, the TFH1 subtype is negatively correlated with PFS after tumor resection in NSCLC.³⁸ Our study indicated that ARL14 expression was negatively correlated with TFH cell infiltration in LUAD and had no significant correlation in LUSC. Thus, further studies related to immunity in NSCLC need to be conducted.

Although we did not further study the specific mechanism of ARL14 in the occurrence and development of NSCLC, there have been reports that high ARL14 expression promotes the development of LUAD through the CIDEC/ERK/p38 signaling pathway. Guo et al demonstrated that silencing ARL14 could block ERK1/2 and p38 signaling and stimulate its downstream gene CIDEC expression, finally resulting in cell cycle arrest in LUAD cells.³⁹ Their in vitro experiments revealed that ARL14 could serve as a prognostic marker and a valuable therapeutic target for LUAD patients. Regrettably, there is still a lack of information on the mechanism of ARL14 in NSCLC. Therefore, further studies on ARL14 in lung cancer are needed.

Conclusion

In summary, by employing bioinformatics analysis based on online datasets, our study indicated high ARL14 levels in NSCLC. By collecting clinical samples, we focused on immunohistochemical analysis and survival analysis of ARL14 protein in NSCLC. The results indicated a significant correlation between ARL14 expression and NSCLC prognosis.