scholarly journals Membrane tension sensing molecule-FNBP1 is a prognostic biomarker related to immune infiltration in BRCA, LUAD and STAD

2022 ◽  
Vol 23 (1) ◽  
Author(s):  
Zixuan Wang ◽  
Zixin Tian ◽  
Xi Song ◽  
Jun Zhang
Keyword(s):  
Lung Adenocarcinoma ◽  
Critical Role ◽  
Expression Level ◽  
Immune Checkpoints ◽  
M2 Macrophage ◽  
Immune Gene ◽  
Gene Markers ◽  
Immune Infiltration ◽  
Infiltrating Cells ◽  
Stomach Adenocarcinoma

Abstract Background Formin-binding protein 1/17 (FNBP1/FBP17), as a membrane-bound protein, is wildly expressed in eukaryotic cells and performs a critical role in tumor tumorigenesis and progression. However, the relationship between FNBP1 and immune infiltrating cells, prognostic value in patients still require comprehensive understanding. We purposed to explore the correlations of FNBP1 expression, prognosis and immune infiltration levels in various cancers. Method The expression and survival data of FNBP1 were collected from Oncomine, TIMER, GEPIA, Kaplan–Meier Plotter and PrognoScan databases. Correlations between FNBP1 and immune infiltrates were analyzed in TIMER and GEPIA databases. Results Compared with normal tissues, FNBP1 is significantly differentially expressed in a variety of tumor tissues. FNBP1 has significant and complex effects on the prognosis of kinds of cancers. High-expression was obviously correlated with better prognosis in breast carcinoma and lung adenocarcinoma, while worse prognosis in stomach adenocarcinoma. Besides, FNBP1 had a correlation with various immune infiltrating cells and diverse immune gene markers in breast invasive carcinoma (BRCA), lung adenocarcinoma (LUAD), and stomach adenocarcinoma (STAD). FNBP1 was also positively correlated with the adjustment of CD8+ cells, T cells, M2 macrophage, neutrophils, monocyte, Th1 cells, T regulatory cells (Treg) and Tumor-associated macrophages (TAMs). The expression level of FNBP1 is closely positively correlated with the expression level of multiple immune checkpoints in the three cancers. In addition, FNBP1 is significantly positively correlated with the expression levels of a variety of immunosuppressive molecules. Conclusion Our findings reveal FNBP1 can serve as a significant biomarker to influence the prognosis and the immune infiltrating levels in different cancers. The differential expression of FNBP1 might not only contribute to the judgment of metastatic and non-metastatic tumors but also in the immune escape by upregulating the expression of immune checkpoints.

scholarly journals Integrated analysis identifies AQP9 correlates with immune infiltration and acts as a prognosticator in multiple cancers

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Xiaohong Liu ◽  
Qian Xu ◽  
Zijing Li ◽  
Bin Xiong
Keyword(s):  
Survival Data ◽  
Integrated Analysis ◽  
Immune Gene ◽  
Gene Markers ◽  
Lung Cancers ◽  
Immune Infiltration ◽  
Kaplan Meier ◽  
Aquaporin 9 ◽  
Infiltrating Cells ◽  
The Relationship

AbstractAquaporin 9 (AQP9), as an aquaglyceroporin, is expressed in many immune cells and plays important role in tumor initiation and progression. However, the relationship between AQP9 and tumor-infiltrating cells, and its prognostic value in cancers still require comprehensive understanding. Herein, we aimed to elucidate the correlations of AQP9 with prognosis and immune infiltration levels in diverse cancers. We detected the expression and survival data of AQP9 through Oncomine, TIMER, Kaplan–Meier Plotter and PrognoScan databases. The correlations between AQP9 and immune infiltrates were analyzed in TIMER database. Our results found that high AQP9 expression was significantly correlated with worse prognosis in breast, colon and lung cancers, while predicted better prognosis in gastric cancer. Moreover, AQP9 had significant association with various immune infiltrating cells including CD8+ and CD4+ T cells, neutrophils, macrophages and dendritic cells (DCs), and diverse immune gene markers in BRCA, COAD, LUAD, LUSC and STAD. AQP9 was also significantly correlated with the regulation of tumor associated macrophages (TAM). These results indicate that AQP9 can play as a significant biomarker to determine the prognosis and the immune infiltrating levels in different cancers. It might also contribute to the development of the immunotherapy in breast, colon, lung and gastric cancers.

Genetic and Epigenetic landscape of leukocyte infiltration identifies an immune prognosticator in lung adenocarcinoma

2021 ◽  
pp. 1-13
Author(s):  
Seema Khadirnaikar ◽  
Annesha Chatterjee ◽  
Sudhanshu Kumar Shukla
Keyword(s):  
Lung Adenocarcinoma ◽  
Immune Cell ◽  
Cox Regression ◽  
Strong Association ◽  
Critical Role ◽  
Significant Proportion ◽  
Immune Gene ◽  
Leukocyte Infiltration ◽  
Clinical Genetic ◽  
Factors Affecting

BACKGROUND: Leukocyte infiltration plays an critical role in outcome of various diseases including Lung adenocarcinoma (LUAD). OBJECTIVES: To understand the genetic and epigenetic factors affecting leukocyte infiltration and identification and validation of immune based biomarkers. METHOD: Correlation analysis was done to get the associations of the factors. CIBERSORT analysis was done for immune cell infiltration. Genetic and epigenetic analysis were performed. Cox regression was carried out for survival. RESULTS: We categorized the TCGA-LUAD patients based on Leukocyte fraction (LF) and performed extensive immunogenomic analysis. Interestingly, we showed that LF has a negative correlation with copy number variation (CNV) but not with mutational load. However, several individual genetic mutations, including KRAS and KEAP1, were significantly linked with LF. Also, as expected, patients with high LF showed significantly increased expression of genes involved in leukocyte migration and activation. DNA methylation changes also showed a strong association with LF and regulated a significant proportion of genes associated with LF. We also developed and validated an independent prognostic immune signature using the top six prognostic genes associated with LF. CONCLUSION: Together, we have identified clinical, genetic, and epigenetic variations associated with LUAD LF and developed an immune gene-based signature for disease prognostication.

scholarly journals Bioinformatics Approach to Identify Common Gene Signatures of Patients With Coronavirus 2019 and Lung Adenocarcinoma

2021 ◽  
Author(s):  
Xiao Liang ◽  
Yali Chen ◽  
Yuchao Fan
Keyword(s):  
Lung Adenocarcinoma ◽  
Severe Disease ◽  
Enrichment Analysis ◽  
Immune Checkpoints ◽  
Specific Gene ◽  
Ppi Network ◽  
Hub Genes ◽  
Immune Infiltration ◽  
Protein Protein Interaction ◽  
Tf Gene

Abstract Coronavirus disease 2019 (COVID-19) continues as a global pandemic. Patients with lung cancer infected with COVID-19 may develop severe disease or die. Treating such patients severely burdens overwhelmed healthcare systems. Here we identified potential pathological mechanisms shared between patients with COVID-19 and lung adenocarcinoma (LUAD). Co-expressed, differentially expressed genes (DEGs) in patients with COVID-19 and LUAD were identified and used to construct a protein-protein interaction (PPI) network and to perform enrichment analysis. We used the NetworkAnalyst platform to establish a co-regulatory of the co-expressed DEGs, and we used Spearman’s correlation to evaluate the significance of associations of hub genes with immune infiltration and immune checkpoints. Analysis of three datasets identified 112 shared DEGs, which were used to construct a protein-PPI network. Subsequent enrichment analysis revealed co-expressed genes related to biological process (BP), molecular function (MF), cellular component (CC) as well as to pathways, specific organs, cells and diseases. Ten co-expressed hub genes were employed to construct a gene-miRNA, transcription factor (TF)-gene and TF-miRNA network. Hub genes were significantly associated with immune infiltration and immune checkpoints. Finally methylation level of hub genes in LUAD was obtained via UALCAN database. The present multi-dimensional study reveals commonality in specific gene expression by patients with COVID-19 and LUAD. These findings provide insights into developing strategies for optimising the management and treatment of patients with LUAD with COVID-19.

scholarly journals NPM1 Is a Prognostic Biomarker Involved in Immune Infiltration of Lung Adenocarcinoma and Associated With m6A Modification and Glycolysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Xu-Sheng Liu ◽  
Lu-Meng Zhou ◽  
Ling-Ling Yuan ◽  
Yan Gao ◽  
Xue-Yan Kui ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Prognostic Biomarker ◽  
Aerobic Glycolysis ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Expression Level ◽  
Data Sets ◽  
Translational Initiation ◽  
Immune Infiltration ◽  
The Relationship

BackgroundOverexpression of NPM1 can promote the growth and proliferation of various tumor cells. However, there are few studies on the comprehensive analysis of NPM1 in lung adenocarcinoma (LUAD).MethodsTCGA and GEO data sets were used to analyze the expression of NPM1 in LUAD and clinicopathological analysis. The GO/KEGG enrichment analysis of NPM1 co-expression and gene set enrichment analysis (GSEA) were performed using R software package. The relationship between NPM1 expression and LUAD immune infiltration was analyzed using TIMER, GEPIA database and TCGA data sets, and the relationship between NPM1 expression level and LUAD m6A modification and glycolysis was analyzed using TCGA and GEO data sets.ResultsNPM1 was overexpressed in a variety of tumors including LUAD, and the ROC curve showed that NPM1 had a certain accuracy in predicting the outcome of tumors and normal samples. The expression level of NPM1 in LUAD is significantly related to tumor stage and prognosis. The GO/KEGG enrichment analysis indicated that NPM1 was closely related to translational initiation, ribosome, structural constituent of ribosome, ribosome, Parkinson disease, and RNA transport. GSEA showed that the main enrichment pathway of NPM1-related differential genes was mainly related to mTORC1 mediated signaling, p53 hypoxia pathway, signaling by EGFR in cancer, antigen activates B cell receptor BCR leading to generation of second messengers, aerobic glycolysis and methylation pathways. The analysis of TIMER, GEPIA database and TCGA data sets showed that the expression level of NPM1 was negatively correlated with B cells and NK cells. The TCGA and GEO data sets analysis indicated that the NPM1 expression was significantly correlated with one m6A modifier related gene (YTHDF2) and five glycolysis related genes (ENO1, HK2, LDHA, LDHB and SLC2A1).ConclusionNPM1 is a prognostic biomarker involved in immune infiltration of LUAD and associated with m6A modification and glycolysis. NPM1 can be used as an effective target for diagnosis and treatment of LUAD.

scholarly journals Molecular and Clinicopathological Characterization of a Prognostic Immune Gene Signature Associated With MGMT Methylation in Glioblastoma

2021 ◽  
Vol 9 ◽  
Author(s):  
Liang Zhao ◽  
Jiayue Zhang ◽  
Shurui Xuan ◽  
Zhiyuan Liu ◽  
Yu Wang ◽  
...  
Keyword(s):  
Dna Methyltransferase ◽  
Macrophage Polarization ◽  
Methylation Status ◽  
Gene Signature ◽  
The Cancer Genome Atlas ◽  
Immune Checkpoints ◽  
M2 Macrophage ◽  
Immune Gene ◽  
Genome Atlas

Background: O6-methylguanine-DNA methyltransferase (MGMT) methylation status affects tumor chemo-resistance and the prognosis of glioblastoma (GBM) patients. We aimed to investigate the role of MGMT methylation in the regulation of GBM immunophenotype and discover an effective biomarker to improve prognosis prediction of GBM patients.Methods: A total of 769 GBM patients with clinical information from five independent cohorts were enrolled in the present study. Samples from the Cancer Genome Atlas (TCGA) dataset were used as the training set, whereas transcriptome data from the Chinese Glioma Genome Atlas (CGGA) RNA-seq, CGGA microarray, GSE16011, and the Repository for Molecular Brain Neoplasia (REMBRANDT) cohort were used for validation. A series of bioinformatics approaches were carried out to construct a prognostic signature based on immune-related genes, which were tightly related to the MGMT methylation status. In silico analyses were performed to investigate the influence of the signature on immunosuppression and remodeling of the tumor microenvironment. Then, the utility of this immune gene signature was analyzed by the development and evaluation of a nomogram. In vitro experiments were further used to verify the immunologic function of the genes in the signature.Results: We found that MGMT unmethylation was closely associated with immune-related biological processes in GBM. Sixty-five immune genes were more highly expressed in the MGMT unmethylated than the MGMT-methylated group. An immune gene-based risk model was further established to divide patients into high and low-risk groups, and the prognostic value of this signature was validated in several GBM cohorts. Functional analyses manifested a universal up-regulation of immune-related pathways in the high-risk group. Furthermore, the risk score was highly correlated to the immune cell infiltration, immunosuppression, inflammatory activities, as well as the expression levels of immune checkpoints. A nomogram was developed for clinical application. Knockdown of the five genes in the signature remodeled the immunosuppressive microenvironment by restraining M2 macrophage polarization and suppressing immunosuppressive cytokines production.Conclusions:MGMT methylation is strongly related to the immune responses in GBM. The immune gene-based signature we identified may have potential implications in predicting the prognosis of GBM patients and mechanisms underlying the role of MGMT methylation.

scholarly journals RNF208 is a Biomarker Associated with Immune Infiltration in Low-Grade Gliomas

2021 ◽  
Author(s):  
tong cheng ◽  
Manyu Xu ◽  
Bowen Wu ◽  
Sutian Jiang ◽  
Qianqian Wu ◽  
...  
Keyword(s):  
Cox Regression ◽  
Univariate Analysis ◽  
Gene Set Enrichment Analysis ◽  
Expression Level ◽  
Low Grade ◽  
Who Grade ◽  
Expression Levels ◽  
Immune Infiltration ◽  
Low Grade Gliomas ◽  
Infiltrating Cells

Abstract Background: Gliomas that contain common tumors originating in the central nervous system include low-grade gliomas (LGGs) and high-grade gliomas (HGGs). RNF208 is a gene that has not been researched in LGGs. Methods: Our study appraised the function of RNF208 in LGGs using data from The Cancer Genome Atlas (TCGA) database. The RNF208 expression level was analyzed via the Oncomine and TCGA database. The association between RNF208 expression levels and the clinical survival outcomes was evaluated by using COX regression and Kaplan-Meier plotting analysis. CIBERSORT was applied to investigate the correlation between RNF208 expression levels and cancer immune infiltrating cells. To explore relevant biological processes, we carried out Gene Set Enrichment Analysis. A protein network interacting with RNF208 was also established using the STRING tool. Results: A group of data of LGGs patients based on the TCGA database revealed that high RNF208 expression level was relevant to a favorable prognosis. Besides, RNF208 expression that served as an independent factor was significantly correlated with WHO grade groups in univariate analysis. Furthermore, RNF208 expression was negatively correlated with the immune infiltration level of 22 species of immune infiltrating cells and immune checkpoints including PD1, PDL2, TIM3, and CTLA4. GSEA showed that 20 biological pathways were discriminatively enriched in the RNF208 low expression level. Conclusions: Our findings revealed that RNF208 would be regarded as a promising prognostic biomarker in LGGs.

scholarly journals Comprehensive Analysis of Glutamate-Rich WD Repeat-Containing Protein 1 and Its Potential Clinical Significance for Pancancer

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Yumeng Wu ◽  
Xuming Wu ◽  
Yuanyuan Li ◽  
Wenjing Zhao ◽  
Yanping Yue ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Correlation Analysis ◽  
Cell Carcinoma ◽  
Survival Data ◽  
Critical Role ◽  
Expression Level ◽  
Pathway Enrichment Analysis ◽  
Expression Levels ◽  
Immune Infiltration ◽  
Wd Repeat

Background and Objective. Glutamate-rich WD repeat-containing protein 1 (GRWD1), as a novel CDT1-binding protein, plays a critical role in the initial stage of DNA replication. To date, few studies have shown that GRWD1 is a driving factor for lung cancer, bladder cancer, and colorectal cancer. However, no systematic pancancer analysis has been carried out. This study was aimed at exploring its expression signature, prognostic value, immune infiltration pattern, and biological functions using bioinformatics tools. Methods. The expression level of GRWD1 in human cancer tissues was analyzed using the Tumor Immune Evaluation Resource (ver. 2.0, TIMER2), Gene Expression Profiling Interactive Analysis (ver. 2, GEPIA2), and UALCAN databases. The Kaplan-Meier plotter was utilized to analyze the survival data. Spearman’s correlation analysis was used to find out the correlation between the expression level of GRWD1 and predictive biomarkers, such as tumor mutation burden (TMB) and microsatellite instability (MSI). Furthermore, the MEXPRESS website was used to study the potential relationship between DNA methylation level of GRWD1 and pathological staging. We utilized the “immune” module provided on the TIMER2 website to explore the relationship between the expression level of GRWD1 and immune infiltration in all types of cancer in TCGA. Pearson’s correlation analysis was used to investigate the correlation between the expression level of GRWD1 and the expression levels of immune checkpoint-related genes. For protein expression analysis, we used the CPTAC module provided by the UALCAN portal to compare the total protein and phosphorylated protein level of GRWD1 in adjacent normal and tumor tissues. Results. GRWD1 was overexpressed in tissues of most types of cancer, in which the expression levels of GRWD1 in the kidney chromophobe (KICH), kidney renal papillary cell carcinoma (KIRP), and kidney renal clear cell carcinoma (KIRC) tissues showed an opposite trend, and the expression level of GRWD1 was correlated to only the KIRC tumor stage. The results of survival analysis showed that the expression level of GRWD1 was significantly associated with overall survival in six types of cancer and disease-free survival (DFS) in three types of cancer. Importantly, the increased expression level of GRWD1 was strongly correlated with prognosis of KIRC patients. There was a positive relationship between the expression level of GRWD1 and immune cell infiltration in several types of cancer, and the expression level of GRWD1 was also positively correlated with TMB, MSI, and DNA methylation in some types of cancer. The results of Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis revealed that “ubiquitin mediated proteolysis,” “spliceosome,” and “nucleotide excision repair” were involved in the effect of GRWD1 expression on tumor pathogenesis. Conclusion. This pancancer analysis provided a comprehensive overview of the carcinogenic effects of GRWD1 on a variety of human cancers. The results of bioinformatics analysis indicated GRWD1 as a promising biomarker for detection, prognosis, and therapeutic assessment of diverse types of cancer, and GRWD1 could act as a tumor suppressor in KIRC.

scholarly journals SPAG5 Expression Correlated With Prognostic Implication and Immune Infiltration in Lung Adenocarcinoma

2022 ◽  
Author(s):  
Jianjiang Xie ◽  
Xie Xu ◽  
Huaping Zhou
Keyword(s):  
Lung Adenocarcinoma ◽  
Epithelial Mesenchymal Transition ◽  
Underlying Mechanism ◽  
Immune Checkpoints ◽  
Dna Damage And Repair ◽  
Mesenchymal Transition ◽  
Immune Infiltration ◽  
Kaplan Meier ◽  
Associate Antigen ◽  
Cd4 Cell

Abstract Background Sperm-associate antigen 5 (SPAG5) is a critical oncogene in several cancers. But the role of SPAG5A in lung adenocarcinoma (LUAD) remains unclear. Thus, the aims of our study are to explore the function and underlying mechanism of SPAG5 in LUAD. Methods Expression of SPAG5 was determined using the Oncomine, TIMER, and GEPIA databases. Correlation of SPAG5 and survival was detected by GEPIA database, PrognoScan, Kaplan-Meier Plotter databases. And the association between SPAG5 and tumor malignant phenotypes were analyzed by the CancerSEA. Besides, the correlation between SPAG5 expression and tumor immune infiltration as well as immune checkpoints were analyzed by TIMER. the co-expression genes of SPAG5 were identified using STRING, and the mutation and biological function of SPAG5 and its co-expression genes were determined by cBioPortal and Metascape, respectively. Finally, the SPAG5 expression in LUAD samples was determined by tissues microarrays (TMA) and immunohistochemistry (IHC) analyses.Results We found that upregulated SPAG5 associated with poor survival of LUAD patients. Besides, SPAG5 expression associated to B cell, CD4+ cell, CD8+ cell, macrophage, DC cell as well as CD274, CTLA4, GZMB, LAG3, PDCD1, TIGIT in LUAD. SPAG5 expression also associated with cell proliferation, cell cycle, DNA damage and repair, epithelial-mesenchymal transition (EMT), invasion, and stemness, inflammation in LUAD. Conclusion Our finding indicated that SPAG5 acted as a crucial oncogene in LUAD, and correlated with unfavorable survival as well as tumor infiltration inflation.

scholarly journals Significance of STAT3 in Immune Infiltration and Drug Response in Cancer

Biomolecules ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 834
Author(s):  
Wei Chen ◽  
Xiaoshuo Dai ◽  
Yihuan Chen ◽  
Fang Tian ◽  
Yanyan Zhang ◽  
...  
Keyword(s):  
Cell Line ◽  
Drug Response ◽  
Cancer Therapeutics ◽  
Tumor Stage ◽  
Transcriptional Level ◽  
M2 Macrophage ◽  
Gene Markers ◽  
Immune Infiltration ◽  
Normal Tissues ◽  
The Impact

Signal transducer and activator of transcription 3 (STAT3) is a transcription factor and regulates tumorigenesis. However, the functions of STAT3 in immune and drug response in cancer remain elusive. Hence, we aim to reveal the impact of STAT3 in immune infiltration and drug response comprehensively by bioinformatics analysis. The expression of STAT3 and its relationship with tumor stage were explored by Tumor Immune Estimation Resource (TIMER), Human Protein Altas (HPA), and UALCAN databases. The correlations between STAT3 and immune infiltration, gene markers of immune cells were analyzed by TIMER. Moreover, the association between STAT3 and drug response was evaluated by the Cancer Cell Line Encyclopedia (CCLE) and Cancer Therapeutics Response Portal (CTRP). The results suggested that the mRNA transcriptional level of STAT3 was lower in tumors than normal tissues and mostly unrelated to tumor stage. Besides, the protein expression of STAT3 decreased in colorectal and renal cancer compared with normal tissues. Importantly, STAT3 was correlated with immune infiltration and particularly regulated tumor-associated macrophage (TAM), M2 macrophage, T-helper 1 (Th1), follicular helper T (Treg), and exhausted T-cells. Remarkably, STAT3 was closely correlated with the response to specified inhibitors and natural compounds in cancer. Furthermore, the association between STAT3 and drug response was highly cell line type dependent. Significantly, the study provides thorough insight that STAT3 is associated with immunosuppression, as well as drug response in clinical treatment.

scholarly journals FCGR1A Serves as a Novel Biomarker and Correlates With Immune Infiltration in Four Cancer Types

2020 ◽  
Author(s):  
Jili Xu ◽  
Yong Guo
Keyword(s):  
Overall Survival ◽  
T Cell ◽  
Differential Expression Analysis ◽  
Renal Clear Cell Carcinoma ◽  
High Expression ◽  
Immune Gene ◽  
Gene Markers ◽  
Immune Infiltration ◽  
Normal Tissues ◽  
Cancer Types

Abstract Background: FCGR1A encodes a protein that plays an important role in the immune response. The prognosis and tumor immune infiltration of FCGR1A in heterogeneous tumors remains unclear.Methods: Differential expression analysis of FCGR1A between tumor and normal tissues and the difference in overall survival (OS) among different cancer types were performed by Gene Expression Profiling Interactive Analysis (GEPIA). The correlation between FCGR1A and cancer immune infiltration or immue gene markers was completed through Tumor Immune Estimation Resource (TIMER) site. Results: FCGR1A exhibited high expression in various cancer types. FCGR1A was significantly correlated with the overall survival (OS) of cervical and endocervical cancer (CESC), cholangiocarcinoma (CHOL), kidney renal clear cell carcinoma (KIRC) and skin cutaneous melanoma (SKCM) (P<.05). High expression of FCGR1A meant a better prognosis except for KIRC. FCGR1A showed significant differences at different stages of KIRC and SKCM (P<.05). Furthermore, FCGR1A was notably associated with immune infiltrating levels of CD4+ T cell, CD8+ T cell, B cell, macrophage, neutrophil, and dendritic cell in the four cancers (P<.05). FCGR1A also showed close relevance with different immune gene markers. The copy number variation (CNV) of FCGR1A significantly influenced the abundance of immune infiltration in KIRC and SKCM. Conclusion: FCGR1A may be a potential prognostic biomarker and related to immune infiltration levels in diverse cancers, especially in CESC, CHOL, KIRC, and SKCM. Besides, FCGR1A may be involved in the activation, regulation or induction of immune cells.

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