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Metagenomic next-generation sequencing for diagnosis of immune checkpoint inhibitor-associated pneumonitis: a
Ya-Lin Jiang1, Shi-Zhen Dong1, Yuan-Bo Xu2
1Department of Clinical Laboratory, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Objective:
To evaluate the diagnostic performance and clinical utility of metagenomic next-generation sequencing (mNGS) in distinguishing immune checkpoint inhibitor-related pneumonitis (CIP) from infectious pneumonia in cancer patients undergoing immunotherapy.
Methods:
A retrospective tertiary hospital cohort included 34 cancer patients (Feb 2022-Jan 2024) with prior ICI exposure, new/worsening respiratory symptoms, imaging infiltrates, and both mNGS and conventional microbiological testing (CMT). Final diagnoses were adjudicated by a multidisciplinary panel. We compared pathogen detection rates, sensitivity, specificity, and turnaround times (TAT) between mNGS and CMT.
Results:
In the infectious pneumonia group, mNGS detected pathogens in 17/18 cases (94%), whereas CMT detected only 6/18 (33%). In the CIP group, mNGS was negative in 14/16 cases (88%), compared with 11/16 negatives by CMT (69%). Using the adjudicated diagnosis as the reference, mNGS showed sensitivity 88%, and specificity 94%. In contrast, CMT's sensitivity was 69%, and specificity 33%. The median TAT for mNGS was 24 hours (IQR 22-31 h), versus 121.5 hours (IQR 80.5-156 h) for CMT (P < 0.001).
Conclusion:
mNGS outperforms CMT in both diagnostic accuracy and timeliness for distinguishing CIP from infectious pneumonia among immunotherapy recipients. Incorporation of mNGS into the diagnostic workflow for suspected CIP may improve etiological discrimination and enable timely, individualized treatment. Further large-scale prospective studies are required to confirm these findings.
