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The Lung Adenocarcinoma Microenvironment Mining and Its Prognostic Merit
Rongchang Zhao1, Dan Ding1, Wenyan Yu2
1Department of Oncology, Taixing people's Hospital Affiliated to Bengbu Medical College, Taixing, China.
Technology in Cancer Research & Treatment
|December 7, 2020
Summary
This study reveals that immune and stromal scores in lung adenocarcinoma (LUAD) microenvironments correlate with patient survival and tumor progression. Specific genes identified can serve as reliable prognostic markers for LUAD patients.
Area of Science:
- Oncology
- Immunology
- Bioinformatics
Background:
- Lung adenocarcinoma (LUAD) is a common lung cancer subtype with established treatments.
- However, research on the LUAD tumor microenvironment remains limited.
Purpose of the Study:
- To investigate the prognostic value of immune and stromal scores in LUAD.
- To identify key genes within the LUAD microenvironment associated with patient survival and tumor progression.
Main Methods:
- Utilized ESTIMATE to calculate immune and stromal scores from TCGA LUAD cohort data.
- Assessed correlations with clinicopathological features and overall survival using R.
- Employed GO, KEGG, and Cox regression for gene analysis, validated in GEPIA and Kaplan-Meier Plotter databases.
Main Results:
- Immune score correlated with LUAD patient survival and tumor topography.
- Stromal score showed a significant association with tumor metastasis.
- Identified eight genes (ARHGAP15, BTLA, CASS4, CLECL1, FAM129C, STAP1, TESPA1, S100P) with credible prognostic value.
Conclusions:
- Differentially expressed genes in the LUAD microenvironment, identified via immune and stromal scores, are valuable for assessing patient prognosis.
- These genes also provide insights into tumor invasion and progression in lung adenocarcinoma.
