Diagnostic efficacy of targeted next-generation sequencing in suspected lower respiratory tract infections of patients with cancer: a retrospective study

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.

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Publication Details

Journal
Scientific Reports
Published
2025-12-03
DOI
https://doi.org/10.1038/s41598-025-30631-z
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Diagnostic efficacy of targeted next-generation sequencing in suspected lower respiratory tract infections of patients with cancer: a retrospective study

Yajun Huang, Xinfei Zhao, Yan Kui Sun, Yulin Sun et al.
Scientific Reports
Lung Cancer Diagnosis and Treatment
article

Diagnostic efficacy of targeted next-generation sequencing in suspected lower respiratory tract infections of patients with cancer: a retrospective study

Yajun Huang, Xinfei Zhao, Yan Kui Sun, Yulin Sun, Yue Liang, Liping Meng, Xiaoqing Fan, Xinmiao Liu, Hongjun Gao
article en

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.

Scientific ReportsVol. 16(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), National Cancer Center (US), Shanxi Provincial Cancer Hospital (CN), Taiyuan Heavy Industry (China) (CN), Cancer Hospital of Chinese Academy of Medical Sciences (CN), Inner Mongolia Medical University (CN)
Chinese Academy of Medical Sciences, Shanxi Medical University
Openalex Percentile: Top 44%
Lung Cancer Diagnosis and Treatment
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