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Diagnosis of lung squamous cell carcinoma based on metagenomic Next-Generation Sequencing

BACKGROUND: The clinical treatment of patients suspected of pulmonary infections often rely on empirical antibiotics. However, preliminary diagnoses were based on clinical manifestations and conventional microbiological tests, which could later be proved wrong. In this case, we presented a patient w...

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Autores principales: Wei, Ping, Gao, Yang, Zhang, Jing, Lin, Jianlong, Liu, Huibin, Chen, Keqiang, Lin, Weikai, Wang, Xiaojia, Wang, Chune, Liu, Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958490/
https://www.ncbi.nlm.nih.gov/pubmed/35346137
http://dx.doi.org/10.1186/s12890-022-01894-3
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author Wei, Ping
Gao, Yang
Zhang, Jing
Lin, Jianlong
Liu, Huibin
Chen, Keqiang
Lin, Weikai
Wang, Xiaojia
Wang, Chune
Liu, Chao
author_facet Wei, Ping
Gao, Yang
Zhang, Jing
Lin, Jianlong
Liu, Huibin
Chen, Keqiang
Lin, Weikai
Wang, Xiaojia
Wang, Chune
Liu, Chao
author_sort Wei, Ping
collection PubMed
description BACKGROUND: The clinical treatment of patients suspected of pulmonary infections often rely on empirical antibiotics. However, preliminary diagnoses were based on clinical manifestations and conventional microbiological tests, which could later be proved wrong. In this case, we presented a patient whose initial diagnosis was lung abscess, but antibiotic treatments had no effect, and metagenomic Next-Generation Sequencing (mNGS) indicated presence of neoplasm. CASE PRESENTATION: A 62-year-old female was diagnosed with lung abscess at three different health facilities. However, mNGS of bronchoalveolar lavage fluid did not support pulmonary infections. Rather, the copy number variation analysis using host DNA sequences suggested neoplasm. Using H&E staining and immunohistochemistry of lung biopsy, the patient was eventually diagnosed with lung squamous cell carcinoma. CONCLUSIONS: mNGS not only detects pathogens and helps diagnose infectious diseases, but also has potential in detecting neoplasm via host chromosomal copy number analysis. This might be beneficial for febrile patients with unknown or complex etiology, especially when infectious diseases were initially suspected but empirical antibiotic regimen failed.
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spelling pubmed-89584902022-03-28 Diagnosis of lung squamous cell carcinoma based on metagenomic Next-Generation Sequencing Wei, Ping Gao, Yang Zhang, Jing Lin, Jianlong Liu, Huibin Chen, Keqiang Lin, Weikai Wang, Xiaojia Wang, Chune Liu, Chao BMC Pulm Med Case Report BACKGROUND: The clinical treatment of patients suspected of pulmonary infections often rely on empirical antibiotics. However, preliminary diagnoses were based on clinical manifestations and conventional microbiological tests, which could later be proved wrong. In this case, we presented a patient whose initial diagnosis was lung abscess, but antibiotic treatments had no effect, and metagenomic Next-Generation Sequencing (mNGS) indicated presence of neoplasm. CASE PRESENTATION: A 62-year-old female was diagnosed with lung abscess at three different health facilities. However, mNGS of bronchoalveolar lavage fluid did not support pulmonary infections. Rather, the copy number variation analysis using host DNA sequences suggested neoplasm. Using H&E staining and immunohistochemistry of lung biopsy, the patient was eventually diagnosed with lung squamous cell carcinoma. CONCLUSIONS: mNGS not only detects pathogens and helps diagnose infectious diseases, but also has potential in detecting neoplasm via host chromosomal copy number analysis. This might be beneficial for febrile patients with unknown or complex etiology, especially when infectious diseases were initially suspected but empirical antibiotic regimen failed. BioMed Central 2022-03-27 /pmc/articles/PMC8958490/ /pubmed/35346137 http://dx.doi.org/10.1186/s12890-022-01894-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Case Report
Wei, Ping
Gao, Yang
Zhang, Jing
Lin, Jianlong
Liu, Huibin
Chen, Keqiang
Lin, Weikai
Wang, Xiaojia
Wang, Chune
Liu, Chao
Diagnosis of lung squamous cell carcinoma based on metagenomic Next-Generation Sequencing
title Diagnosis of lung squamous cell carcinoma based on metagenomic Next-Generation Sequencing
title_full Diagnosis of lung squamous cell carcinoma based on metagenomic Next-Generation Sequencing
title_fullStr Diagnosis of lung squamous cell carcinoma based on metagenomic Next-Generation Sequencing
title_full_unstemmed Diagnosis of lung squamous cell carcinoma based on metagenomic Next-Generation Sequencing
title_short Diagnosis of lung squamous cell carcinoma based on metagenomic Next-Generation Sequencing
title_sort diagnosis of lung squamous cell carcinoma based on metagenomic next-generation sequencing
topic Case Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958490/
https://www.ncbi.nlm.nih.gov/pubmed/35346137
http://dx.doi.org/10.1186/s12890-022-01894-3
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