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Background B-cell translocation gene 2 ( BTG2 ) has been revealed to be involved in the occurrence and development of multiple cancers. However, the role of BTG2 in lung adenocarcinoma (LUAD) is still ambiguous. Thus, this study aims to investigate the prognostic value of BTG2 and its correlation with immune infiltration in LUAD. Methods The expression of BTG2 in LUAD was analyzed using the TIMER and UALCAN databases. The correlations between BTG2 expression and clinicopathological factors were investigated using the UALCAN databases. The Kaplan–Meier plotter, GEPIA, and TCGA databases were employed to assess the prognostic value of BTG2 . The STRING database and Cytoscape software were used to construct an interaction network and mine co-expression genes. The TISIDB database was examined for a correlation between BTG2 and driver genes in LUAD. Enrichment analysis of co-expressed genes and BTG2 was performed using the LinkedOmics database. Finally, the correlations between BTG2 and immune infiltrates were investigated using the TIMER, GEO, and TISIDB database. Results BTG2 was significantly downregulated in LUAD. The decreased expression of BTG2 in LUAD was significantly correlated with higher cancer stages and shorter duration of overall survival. The expressions of BTG2 -related co-expression genes were associated with the prognosis in LUAD. The expression of BTG2 was closely associated with the mutations of TP53 and ROS1 . Enrichment analysis revealed that BTG2 was significantly correlated with immune‐associated signaling pathways and function. In addition, the expression of BTG2 was found to be closely related to immune infiltration, multiple gene markers of immune cells, chemokines, and chemokine receptors. Conclusion Our findings have effectively demonstrated that BTG2 expression was downregulated in LUAD, indicating poor prognosis. Closely relating to immune cell infiltration, BTG2 may be a promising immune-related biomarker and molecular target for patients with LUAD.

Purpose/Objective(s): Acute radiation pneumonitis is a dose-limiting toxicity of thoracic radiotherapy which can result in mortality. The purpose of this study was to identify predictors of intubation and in-hospital death among patients with lung cancer admitted for acute radiation pneumonitis. Materials/Methods: The Healthcare Cost and Utilization Project (HCUP) National Inpatient Sample (NIS) database was queried from 2012 through 2015 to capture hospitalized adult patients with a principal diagnosis of acute radiation pneumonitis. Patients were included in this study if they also had a diagnosis of lung cancer. Variables examined included age, gender, race, smoking status, diagnosis of interstitial lung disease (ILD), congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), connective tissue disease/rheumatoid arthritis, median household income by household zip code, and season/weekday of admission. Chi-squared and multivariable logistic regression modeling were used to determine predictors of in-hospital death, intubation, and length of stay (LOS). Results: Of 674 patients who met inclusion criteria, 6 (0.9%) had a diagnosis of ILD, 113 (16.7%) had a diagnosis of CHF, and 296 (43.9%) were female. The mean age was 70.3 years (range, 35-90), and the average LOS was 6.4 days (range, 0-64). During admission, 53 (7.9%) patients expired, and 72 (10.7%) patients required intubation. Predictors of death on univariable analysis were ILD and higher income quartile by household zip code. On multivariable logistic regression, only ILD (HR 12.5, 95% CI 2.5-63.6, p Z 0.002) remained a significant predictor of death. Significant predictors of intubation on univariable analysis were CHF and higher income quartile by household zip code. CHF (HR 2.3, 95% CI 1.3-4.0, p Z 0.005) and higher income quartile by household zip code (p Z 0.027) remained significant on multivariable logistic regression. Predictors of extended LOS on multivariable analysis were CHF (HR 2.1, 95% CI 1.4 e 3.1, p Z 0.001) and COPD (HR 1.6, 95% CI 1.1 e 2.2, p Z 0.009). Conclusion: In a large cohort of lung cancer patients hospitalized with a principal diagnosis of acute radiation pneumonitis, ILD was a significant predictor of in-hospital death, while co-morbid CHF was an important predictor of intubation. These findings confirm the importance of comorbid diagnoses in predicting outcomes during hospitalization for lung cancer patients treated with radiotherapy.

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