Abstract
Lower respiratory tract infections (LRTIs) significantly threaten the prognosis of cancer. Conventional microbial culture (CMC) often fails to identify pathogens, leading to inappropriate antibiotic use and delayed treatment. This study assesses the effectiveness of targeted next-generation sequencing (tNGS) for diagnosing LRTIs in malignant patients, including those with lung cancer and extrapulmonary malignancies. A retrospective study was conducted on 190 patients diagnosed with malignant tumours and suspected LRTI. Sputum and bronchoalveolar lavage fluid (BALF) samples were analysed using both tNGS and CMC concurrently. tNGS involves DNA/RNA extraction, PCR amplification, and sequencing, followed by clinical interpretation of the results. tNGS identified 58 pathogens compared with the 16 identified by CMC, with detection rates of 91.6% versus 24.2%, respectively. The sensitivity of tNGS was significantly greater (96.1%) than that of CMC (33.3%). Notably, 67.4% of patients tested positive exclusively via tNGS, highlighting its superior ability to detect pathogens, especially in mixed infections. Moreover, antibiotic therapy was modified for 41 patients on the basis of the findings from tNGS, resulting in escalations, de-escalations, or maintenance strategies. tNGS is an efficient diagnostic tool for LRTIs in cancer patients. Its rapid results can improve clinical decision-making and antibiotic optimization, potentially enhancing patient outcomes, especially in the diagnosis and treatment of special infection cases.