Prognostic and immunological value of LTB4R in pan-cancer
| Autor: | Shuangshuang Ji, Kunmin Xiao, Sidan Long, Peng Xue, Shijie Zhu |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Carcinoma
Hepatocellular T cell pan-cancer Receptors Leukotriene B4 Inflammation Kaplan-Meier Estimate Biology survival analysis Metastasis Immune system Lymphocytes Tumor-Infiltrating Immunity QA1-939 medicine Biomarkers Tumor Tumor Microenvironment Humans Receptor database Tumor microenvironment immune infiltration Applied Mathematics Liver Neoplasms Cancer General Medicine medicine.disease Prognosis Computational Mathematics medicine.anatomical_structure leukotriene b4 receptor 1 Modeling and Simulation Cancer research medicine.symptom General Agricultural and Biological Sciences TP248.13-248.65 Mathematics Biotechnology |
| Zdroj: | Mathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 9336-9356 (2021) |
| ISSN: | 1551-0018 |
| Popis: | BackgroundLTB4 receptor 1 (LTB4R), as the high affinity leukotriene B4 receptor, is rapidly revealing its function in malignancies. However, it is still uncertain. MethodsWe investigated the expression pattern and prognostic significance of LTB4R in pan-cancer across different databases, including ONCOMINE, PrognoScan, GEPIA, and Kaplan-Meier Plotter, in this study. Meanwhile, we explored the significance of LTB4R in tumor metastasis by HCMDB. Then functional enrichment analysis of related genes was performed using GeneMANIA and DAVID. Lastly, utilizing the TIMER datasets, we looked into the links between LTB4R expression and immune infiltration in malignancies. ResultsIn general, tumor tissue displayed higher levels of LTB4R expression than normal tissue. Although LTB4R had a negative influence on pan-cancer, a high expression level of LTB4R was protective of LIHC (liver hepatocellular carcinoma) patients' survival. There was no significant difference in the distribution of LTB4R between non-metastatic and metastatic tumors. Based on Gene Set Enrichment Analysis, LTB4R was implicated in pathways involved in inflammation, immunity, metabolism, and cancer diseases. The correlation between immune cells and LTB4R was found to be distinct across cancer types. Furthermore, markers of infiltrating immune cells, such as Treg, T cell exhaustion and T helper cells, exhibited different LTB4R-related immune infiltration patterns. ConclusionThe LTB4R is associated with immune infiltrates and can be used as a prognostic biomarker in pan-cancer. |
| Databáze: | OpenAIRE |
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