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Identification of novel immunomodulators in lung squamous cell carcinoma based on transcriptomic data
Xin Lin1, Xingyuan Li2, Binqiang Ma1
1Department of Anesthesiology, Medical College of Soochow University, Affiliated Kunshan Hospital of Jiangsu University, Kunshan 215399, China.
Mathematical Biosciences and Engineering : MBE
|February 9, 2022
Summary
This study identifies key immune genes in lung squamous cell carcinoma (LUSC) and develops a prognostic model. The gene IGLC7 shows promise as a therapeutic target for LUSC by influencing immune cells.
Area of Science:
- Oncology
- Immunology
- Genetics
Background:
- The tumor microenvironment significantly impacts cancer development and prognosis.
- Genetic changes and remodeling within the tumor microenvironment of lung squamous cell carcinoma (LUSC) are not well understood.
Purpose of the Study:
- To identify predictive immune genes in LUSC.
- To construct a prognostic model for LUSC patient survival.
- To investigate the role of IGLC7 in the LUSC immune microenvironment.
Main Methods:
- Analysis of 1164 immunological differentially expressed genes (DEGs).
- Development of a prognostic model using LASSO regression with 9 key genes.
- Immune-correlation analysis, gene ontology, and genomic sequence variance analysis (GSVA) for IGLC7.
Main Results:
- A prognostic model was built with high prediction accuracy (AUCs 0.66, 0.61, 0.63 at 1, 3, 5 years).
- IGLC7 was identified as a significant predictor of patient survival and is involved in immune responses, particularly affecting B and T cells.
- IGLC7 expression correlates with LUSC malignancy and may interact with immune checkpoints.
Conclusions:
- IGLC7 is a potential therapeutic target for LUSC due to its association with malignancy and immune cell modulation.
- Understanding IGLC7's role offers insights into cancer-immune cell interactions and potential immunotherapeutic strategies for LUSC.
