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

Xu, Ji-li; Guo, Yiming

doi:10.21203/rs.3.rs-38062/v1

Cited by 3 publications

(2 citation statements)

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“…Fc c R-mediated phagocytosis and osteoclast differentiation are of prime importance among its related pathways. Based on the PPI network and correlation scores produced by Guo and Xu [56], FCGR3A, SYK, and HCK were the most relevant neighboring genes. FCGR3A (lowaffinity immunoglobulin c Fc region receptor III-A) is the Fc region receptor for IgG and binds to either pooled or aggregated IgG and monomeric IgG.…”

Section: Discussionmentioning

confidence: 99%

FCGR3A Is a Prognostic Biomarker and Correlated with Immune Infiltrates in Lower-Grade Glioma

Sun

Fei

et al. 2022

Journal of Oncology

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Low-grade gliomas (LGGs) are primary invasive brain tumors that grow slowly but are incurable and eventually develop into high malignant glioma. Fc fragment of IgG receptor IIIa (FCGR3A) gene polymorphism may correlate with some cancers’ treatment responses. However, the expression and prognosis value of FCGR3A and correlation with tumor-immune infiltrate in LGG remain unclear. FCGR3A mRNA expression in gastric cancer (GC) was examined using TIMER and GEPIA databases. Correlations between FCGR3A expression and clinicopathological parameters were analyzed using ULACAN and CGGA databases. GEPIA, OncoLnc, and ULACAN databases were used to examine the clinical prognostic significance of FCGR3A in LGG. TIMER was used to analyze the correlations among FCGR3A and tumor-infiltrating immune cells. Signaling pathways related to FCGR3A expression were identified by LinkedOmics. We found that FCGR3A expression was higher in LGG than in normal tissue and was correlated with various clinical parameters. In addition, high FCGR3A expression predicted poor overall survival in LGG. More importantly, FCGR3A expression positively correlated with immune checkpoint molecules, including PD1, PD-L1, PD-L2, CTLA4, LAG-3 and TIM-3, and tumor-associated macrophage (TAM) gene markers in LGG. GO and KEGG pathway analyses indicated that TUBA1C may potentially regulate the pathogenesis of LGG through immune-related pathways. These findings indicated that FCGR3A plays a vital role in the infiltration of immune cells and could constitute a promising prognostic biomarker in LGG patients.

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Section: Discussionmentioning

confidence: 99%

FCGR3A Is a Prognostic Biomarker and Correlated with Immune Infiltrates in Lower-Grade Glioma

Sun

Fei

et al. 2022

Journal of Oncology

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“…CXCL9 is abundantly expressed in several solid tumors, including CM, and it stimulates the in ltration of CD4 + T and CD8 + T lymphocytes into tumor cell regions, so boosting the response of cytotoxic T lymphocytes and thereby killing tumor cells [39] [40]. FCGR3A (Fc fragment of IgG receptor IIIa) encodes the receptor for the Fc region of immunoglobulin G. FCGR3A interacts with FCGR1A in numerous pathophysiological processes and is substantially related with overall survival (OS) in CM, renal clear cell carcinoma, and other malignancies [41]. Granzyme B (GZMB) is an exogenous serine protease generated from granules released by cytotoxic lymphocytes (CTLs) and natural killer cells (NK) [42].…”

Section: Discussionmentioning

confidence: 99%

Construction of immunotherapy-related prognostic gene signature and small molecule drug prediction for cutaneous melanoma

Xing

Jia

Han

2022

Preprint

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Background Cutaneous melanoma (CM), a kind of skin cancer with a high rate of advanced mortality, exhibits a wide variety of driver and transmitter gene alterations in the immunological tumor microenvironment (TME) associated with tumor cell survival and proliferation. Methods We analyzed the immunological infiltration of TME cells in normal and malignant tissues using 469 CM and 556 normal skin samples. We used a single sample gene set enrichment assay (ssGSEA) to quantify the relative abundance of 28 cells, developed a riskScore prognostic model using the LASSO COX regression model, and performed small molecule drug screening and molecular docking validation, which was finally validated using qRT-PCR and IHC. Results We developed a prognosis model around seven essential protective genes for the first time, dramatically elevated in tumor tissues, as did immune cell infiltration. The results of multivariate Cox regression demonstrated that riskScore is an independent and robust prognostic indicator, and its predictive usefulness in immunotherapy was verified. Additionally, we identified Gabapentin as a possible small molecule therapeutic for CM. Conclusions A riskScore model was developed in this work to analyze patient prognosis, TME cell infiltration features, and treatment responsiveness. The development of this model aid in predicting patient response to immunotherapy, but it also has significant implications for the development of novel immunotherapeutic agents and the promotion of tailored treatment regimens.

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

Guo

2020

Front. Mol. Biosci.

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BackgroundFCGR1A encodes a protein that plays an important role in the immune response. The prognostic impact and immune infiltration of FCGR1A in heterogeneous cancers remain unclear.MethodsDifferential expression of FCGR1A between tumor and normal tissues and the discrepancies in overall survival (OS) among diverse cancer types were performed by Gene Expression Profiling Interactive Analysis. The correlation between FCGR1A and immune cells or gene marker sets of immune infiltrates was analyzed via Tumor Immune Estimation Resource (TIMER). Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, and protein-to-protein interaction (PPI) network were used to explore the function and related genes of FCGR1A. The relationships among these genes were further analyzed by TIMER.ResultsFCGR1A is highly expressed in various cancer types. FCGR1A was significantly correlated with the OS of cervical and endocervical cancer (CESC), cholangiocarcinoma (CHOL), kidney renal clear cell carcinoma (KIRC), and skin cutaneous melanoma (SKCM) (P < 0.05). High expression of FCGR1A meant a better prognosis besides KIRC. FCGR1A showed significant differences at different stages of KIRC and SKCM (P < 0.05). Furthermore, FCGR1A was notably associated with infiltrating levels of CD4+ T cells, CD8+ T cells, B cells, macrophages, neutrophils, and dendritic cells in the four cancers (P < 0.05). FCGR1A also showed close relevance with different immune gene markers. The copy number variation of FCGR1A significantly influenced the abundance of immune infiltration in KIRC and SKCM. GO, KEGG analysis, and PPI network analysis revealed that FCGR1A is involved in many pathophysiological processes and was most related to FCGR3A. And this gene indicated highly significant positive correlations with FCGR1A in four cancers.ConclusionFCGR1A 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 and diverse physiological and pathological processes.

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

Cited by 3 publications

References 11 publications

FCGR3A Is a Prognostic Biomarker and Correlated with Immune Infiltrates in Lower-Grade Glioma

FCGR3A Is a Prognostic Biomarker and Correlated with Immune Infiltrates in Lower-Grade Glioma

Construction of immunotherapy-related prognostic gene signature and small molecule drug prediction for cutaneous melanoma

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

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