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Identification of an Individualized Immune-Related Prognostic Risk Score in Lung Squamous Cell Cancer
- Source :
- Frontiers in Oncology, Frontiers in Oncology, Vol 11 (2021)
- Publication Year :
- 2020
-
Abstract
- Background: Lung squamous cell carcinoma (LUSC) is one of the most common histological subtypes of non-small cell lung cancer (NSCLC), and its morbidity and mortality are steadily increasing. The purpose of this study was to study the relationship between the immune-related gene (IRGs) profile and the outcome of LUSC in patients by analyzing datasets from The Cancer Genome Atlas (TCGA).Methods: We obtained publicly available LUSC RNA expression data and clinical survival data from The Cancer Genome Atlas (TCGA), and filtered IRGs based on The ImmPort database. Then, we identified risk immune-related genes (r-IRGs) for model construction using Cox regression analysis and defined the risk score in this model as the immune gene risk index (IRI). Multivariate analysis was used to verify the independent prognostic value of IRI and its association with other clinicopathological features. Pearson correlation analysis was used to explore the molecular mechanism affecting the expression of IRGs and the correlation between IRI and immune cell infiltration.Results: We screened 15 r-IRGs for constructing the risk model. The median value of IRI stratified the patients and there were significant survival differences between the two groups (p = 4.271E-06). IRI was confirmed to be an independent prognostic factor (p < 0.001) and had a close correlation with the patients' age (p < 0.05). Interestingly, the infiltration of neutrophils or dendritic cells was strongly upregulated in the high-IRI groups (p < 0.05). Furthermore, by investigating differential transcription factors (TFs) and functional enrichment analysis, we explored potential mechanisms that may affect IRGs expression in tumor cells.Conclusion: In short, this study used 15 IRGs to build an effective risk prediction model, and demonstrated the significance of IRGs-based personalized immune scores in LUSC prognosis.
- Subjects :
- Oncology
Cancer Research
medicine.medical_specialty
Framingham Risk Score
Multivariate analysis
business.industry
Proportional hazards model
TCGA
lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
lung squamous cell carcinoma (LUSC)
lcsh:RC254-282
Correlation
Transcriptome
Immune system
Internal medicine
medicine
immune-related genes
prognosis
business
Gene
IRGs
transcriptome
Original Research
Subjects
Details
- ISSN :
- 2234943X
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Frontiers in oncology
- Accession number :
- edsair.doi.dedup.....66dca562e361a1d1aa719ee6dbe16d81