BACKGROUND

Early and accurate diagnosis of pulmonary infection (PI) is crucial for the timely implementation of appropriate treatment strategies in lung cancer patients.

METHODS

Metagenomic next-generation sequencing and conventional testing were performed in lung cancer patients with and without PI. The pathogen profiles were analyzed, and risk factors for PI were explored using univariate and multivariate logistic regression models.

RESULTS

A total of 55 lung cancer patients with PI and 59 non-infected lung cancer patients were included. There were 41 underlying pathogens identified by both methods in lung cancer patients with PI. The coexistence of different pathogen types was common, particularly between fungi and viruses, which was observed in 28.57% of cases. The incidence of and is significantly higher in small-cell lung carcinoma patients compared to that in non-small-cell lung carcinoma patients. Besides, cytomegalovirus, , and were more likely to be found in advanced-stage patients. Risk factor analysis revealed that Karnofsky Performance Status <90 and chemotherapy were strongly associated with PI in lung cancer patients.

CONCLUSIONS

This study highlights the complexity of PI in lung cancer patients, emphasizing the need for tailored diagnostic and therapeutic strategies based on cancer type and stage.