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Novel Nanopore-Based Technology Rapidly and Precisely Detects Pathogens for Cancer Patients

By LabMedica International staff writers
Posted on 02 Nov 2022
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Image: Researchers have developed a new method for rapidly detecting microbes from cancer patients (Photo courtesy of Pexels)
Image: Researchers have developed a new method for rapidly detecting microbes from cancer patients (Photo courtesy of Pexels)

Immunocompromised cancer patients are prone to be infected by various microbes and have an elevated mortality rate compared with other infected patients. Therefore, identifying microbes earlier is crucial for implementing anti-infective therapies in patients. Researchers have now developed a new method based on nanopore-based technology for rapidly detecting microbes from cancer patients.

For their study, researchers at the Chinese Academy of Sciences (CAS, Beijing, China) collected samples from 56 immunocompromised cancer patients with suspicious infections. The samples included blood and sputum. They isolated microbes and generated amplicon-based sequencing libraries, then sequenced the libraries utilizing the Oxford Nanopore MinION, a 90 g portable sequencer. Nanopore sequencing showed a significantly higher sensitivity than that of the conventional culture method (83.9% vs. 44.6%, P<0.001). This advantage existed both in blood samples (38.5% vs. 0%, P=0.039) and non-blood samples (97.7% vs. 58.1%, P<0.001).

Compared with traditional method, nanopore amplicon sequencing method showed more samples with bacterial infections (P<0.001), infections from fastidious pathogens (P=0.006), and co-infections (P<0.001). The mean turnaround time (TAT) was approximately 17.5 hours, much shorter than the conventional culture assay. This novel and high-sensitive method can improve the prognosis of cancer patients with low immune function by facilitating the prompt diagnosis of infections and the implementation of timely and accurate anti-infective treatments.

"We found the method rapid and accurate," said Prof. GU Hongcang from CAS, first author of the paper, "it can detect pathogens among immunocompromised cancer patients with suspected infections."

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