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Simultaneous Detection of Pathogens and Tumors in Patients With Suspected Infections by Next-Generation Sequencing

BACKGROUND: Differential diagnosis of patients with suspected infections is particularly difficult, but necessary for prompt diagnosis and rational use of antibiotics. A substantial proportion of these patients have non-infectious diseases that include malignant tumors. This study aimed to explore t...

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Autores principales: Su, Jiachun, Han, Xu, Xu, Xiaogang, Ding, Wenchao, Li, Ming, Wang, Weiqin, Tian, Mi, Chen, Xiyuan, Xu, Binbin, Chen, Zhongqing, Yuan, Jinyi, Qin, Xiaohua, Lin, Dongfang, Wang, Ruilan, Gong, Ye, Pan, Liping, Wang, Jun, Wang, Minggui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218804/
https://www.ncbi.nlm.nih.gov/pubmed/35755839
http://dx.doi.org/10.3389/fcimb.2022.892087
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author Su, Jiachun
Han, Xu
Xu, Xiaogang
Ding, Wenchao
Li, Ming
Wang, Weiqin
Tian, Mi
Chen, Xiyuan
Xu, Binbin
Chen, Zhongqing
Yuan, Jinyi
Qin, Xiaohua
Lin, Dongfang
Wang, Ruilan
Gong, Ye
Pan, Liping
Wang, Jun
Wang, Minggui
author_facet Su, Jiachun
Han, Xu
Xu, Xiaogang
Ding, Wenchao
Li, Ming
Wang, Weiqin
Tian, Mi
Chen, Xiyuan
Xu, Binbin
Chen, Zhongqing
Yuan, Jinyi
Qin, Xiaohua
Lin, Dongfang
Wang, Ruilan
Gong, Ye
Pan, Liping
Wang, Jun
Wang, Minggui
author_sort Su, Jiachun
collection PubMed
description BACKGROUND: Differential diagnosis of patients with suspected infections is particularly difficult, but necessary for prompt diagnosis and rational use of antibiotics. A substantial proportion of these patients have non-infectious diseases that include malignant tumors. This study aimed to explore the clinical value of metagenomic next-generation sequencing (mNGS) for tumor detection in patients with suspected infections. METHODS: A multicenter, prospective case study involving patients diagnosed with suspected infections was conducted in four hospitals in Shanghai, China between July 2019 and January 2020. Based upon mNGS technologies and chromosomal copy number variation (CNV) analysis on abundant human genome, a new procedure named Onco-mNGS was established to simultaneously detect pathogens and malignant tumors in all of the collected samples from patients. RESULTS: Of 140 patients screened by Onco-mNGS testing, 115 patients were diagnosed with infections; 17 had obvious abnormal CNV signals indicating malignant tumors that were confirmed clinically. The positive percent agreement and negative percent agreement of mNGS testing compared to clinical diagnosis was 53.0% (61/115) and 60% (15/25), vs. 20.9% (24/115) and 96.0% (24/25), respectively, for conventional microbiological testing (both P <0.01). Klebsiella pneumoniae (14.8%, 9/61) was the most common pathogen detected by mNGS, followed by Escherichia coli (11.5%, 7/61) and viruses (11.5%, 7/61). The chromosomal abnormalities of the 17 cases included genome-wide variations and local variations of a certain chromosome. Five of 17 patients had a final confirmed with malignant tumors, including three lung adenocarcinomas and two hematological tumors; one patient was highly suspected to have lymphoma; and 11 patients had a prior history of malignant tumor. CONCLUSION: This preliminary study demonstrates the feasibility and clinical value of using Onco-mNGS to simultaneously search for potential pathogens and malignant tumors in patients with suspected infections.
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spelling pubmed-92188042022-06-24 Simultaneous Detection of Pathogens and Tumors in Patients With Suspected Infections by Next-Generation Sequencing Su, Jiachun Han, Xu Xu, Xiaogang Ding, Wenchao Li, Ming Wang, Weiqin Tian, Mi Chen, Xiyuan Xu, Binbin Chen, Zhongqing Yuan, Jinyi Qin, Xiaohua Lin, Dongfang Wang, Ruilan Gong, Ye Pan, Liping Wang, Jun Wang, Minggui Front Cell Infect Microbiol Cellular and Infection Microbiology BACKGROUND: Differential diagnosis of patients with suspected infections is particularly difficult, but necessary for prompt diagnosis and rational use of antibiotics. A substantial proportion of these patients have non-infectious diseases that include malignant tumors. This study aimed to explore the clinical value of metagenomic next-generation sequencing (mNGS) for tumor detection in patients with suspected infections. METHODS: A multicenter, prospective case study involving patients diagnosed with suspected infections was conducted in four hospitals in Shanghai, China between July 2019 and January 2020. Based upon mNGS technologies and chromosomal copy number variation (CNV) analysis on abundant human genome, a new procedure named Onco-mNGS was established to simultaneously detect pathogens and malignant tumors in all of the collected samples from patients. RESULTS: Of 140 patients screened by Onco-mNGS testing, 115 patients were diagnosed with infections; 17 had obvious abnormal CNV signals indicating malignant tumors that were confirmed clinically. The positive percent agreement and negative percent agreement of mNGS testing compared to clinical diagnosis was 53.0% (61/115) and 60% (15/25), vs. 20.9% (24/115) and 96.0% (24/25), respectively, for conventional microbiological testing (both P <0.01). Klebsiella pneumoniae (14.8%, 9/61) was the most common pathogen detected by mNGS, followed by Escherichia coli (11.5%, 7/61) and viruses (11.5%, 7/61). The chromosomal abnormalities of the 17 cases included genome-wide variations and local variations of a certain chromosome. Five of 17 patients had a final confirmed with malignant tumors, including three lung adenocarcinomas and two hematological tumors; one patient was highly suspected to have lymphoma; and 11 patients had a prior history of malignant tumor. CONCLUSION: This preliminary study demonstrates the feasibility and clinical value of using Onco-mNGS to simultaneously search for potential pathogens and malignant tumors in patients with suspected infections. Frontiers Media S.A. 2022-06-09 /pmc/articles/PMC9218804/ /pubmed/35755839 http://dx.doi.org/10.3389/fcimb.2022.892087 Text en Copyright © 2022 Su, Han, Xu, Ding, Li, Wang, Tian, Chen, Xu, Chen, Yuan, Qin, Lin, Wang, Gong, Pan, Wang and Wang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cellular and Infection Microbiology
Su, Jiachun
Han, Xu
Xu, Xiaogang
Ding, Wenchao
Li, Ming
Wang, Weiqin
Tian, Mi
Chen, Xiyuan
Xu, Binbin
Chen, Zhongqing
Yuan, Jinyi
Qin, Xiaohua
Lin, Dongfang
Wang, Ruilan
Gong, Ye
Pan, Liping
Wang, Jun
Wang, Minggui
Simultaneous Detection of Pathogens and Tumors in Patients With Suspected Infections by Next-Generation Sequencing
title Simultaneous Detection of Pathogens and Tumors in Patients With Suspected Infections by Next-Generation Sequencing
title_full Simultaneous Detection of Pathogens and Tumors in Patients With Suspected Infections by Next-Generation Sequencing
title_fullStr Simultaneous Detection of Pathogens and Tumors in Patients With Suspected Infections by Next-Generation Sequencing
title_full_unstemmed Simultaneous Detection of Pathogens and Tumors in Patients With Suspected Infections by Next-Generation Sequencing
title_short Simultaneous Detection of Pathogens and Tumors in Patients With Suspected Infections by Next-Generation Sequencing
title_sort simultaneous detection of pathogens and tumors in patients with suspected infections by next-generation sequencing
topic Cellular and Infection Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218804/
https://www.ncbi.nlm.nih.gov/pubmed/35755839
http://dx.doi.org/10.3389/fcimb.2022.892087
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