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Application of large-scale targeted sequencing to distinguish multiple lung primary tumors from intrapulmonary metastases

The effective differentiation between multiple primary lung tumors (MPs) and intrapulmonary metastases (IMs) in patients is imperative to discover the exact disease stage and to select the most appropriate treatment. In this study, the authors was to evaluate the efficacy and validity of large-scale...

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Autores principales: Duan, Jiaxin, Ge, Mingjian, Peng, Jian, Zhang, Yangli, Yang, Li, Wang, Ting, Qin, Tian, Yuan, Rui, Zhang, Yuhong, Cheng, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7606457/
https://www.ncbi.nlm.nih.gov/pubmed/33139840
http://dx.doi.org/10.1038/s41598-020-75935-4
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author Duan, Jiaxin
Ge, Mingjian
Peng, Jian
Zhang, Yangli
Yang, Li
Wang, Ting
Qin, Tian
Yuan, Rui
Zhang, Yuhong
Cheng, Wei
author_facet Duan, Jiaxin
Ge, Mingjian
Peng, Jian
Zhang, Yangli
Yang, Li
Wang, Ting
Qin, Tian
Yuan, Rui
Zhang, Yuhong
Cheng, Wei
author_sort Duan, Jiaxin
collection PubMed
description The effective differentiation between multiple primary lung tumors (MPs) and intrapulmonary metastases (IMs) in patients is imperative to discover the exact disease stage and to select the most appropriate treatment. In this study, the authors was to evaluate the efficacy and validity of large-scale targeted sequencing (LSTS) as a supplement to estimate whether multifocal lung cancers (MLCs) are primary or metastatic. Targeted sequencing of 520 cancer-related oncogenes was performed on 36 distinct tumors from 16 patients with MPs. Pairing analysis was performed to evaluate the somatic mutation pattern of MLCs in each patient. A total of 25 tumor pairs from 16 patients were sequenced, 88% (n = 22) of which were classified as MPs by LSTS, consistent with clinical diagnosis. One tumor pair from a patient with lymph node metastases had highly consistent somatic mutation profiles, thus predicted as a primary-metastatic pair. In addition, some matched mutations were observed in the remaining two paired ground-glass nodules (GGNs) and classified as high-probability IMs by LSTS. Our study revealed that LSTS can potentially facilitate the distinction of MPs from IMs. In addition, our results provide new genomic evidence of the presence of cancer invasion in GGNs, even pure GGNs.
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spelling pubmed-76064572020-11-03 Application of large-scale targeted sequencing to distinguish multiple lung primary tumors from intrapulmonary metastases Duan, Jiaxin Ge, Mingjian Peng, Jian Zhang, Yangli Yang, Li Wang, Ting Qin, Tian Yuan, Rui Zhang, Yuhong Cheng, Wei Sci Rep Article The effective differentiation between multiple primary lung tumors (MPs) and intrapulmonary metastases (IMs) in patients is imperative to discover the exact disease stage and to select the most appropriate treatment. In this study, the authors was to evaluate the efficacy and validity of large-scale targeted sequencing (LSTS) as a supplement to estimate whether multifocal lung cancers (MLCs) are primary or metastatic. Targeted sequencing of 520 cancer-related oncogenes was performed on 36 distinct tumors from 16 patients with MPs. Pairing analysis was performed to evaluate the somatic mutation pattern of MLCs in each patient. A total of 25 tumor pairs from 16 patients were sequenced, 88% (n = 22) of which were classified as MPs by LSTS, consistent with clinical diagnosis. One tumor pair from a patient with lymph node metastases had highly consistent somatic mutation profiles, thus predicted as a primary-metastatic pair. In addition, some matched mutations were observed in the remaining two paired ground-glass nodules (GGNs) and classified as high-probability IMs by LSTS. Our study revealed that LSTS can potentially facilitate the distinction of MPs from IMs. In addition, our results provide new genomic evidence of the presence of cancer invasion in GGNs, even pure GGNs. Nature Publishing Group UK 2020-11-02 /pmc/articles/PMC7606457/ /pubmed/33139840 http://dx.doi.org/10.1038/s41598-020-75935-4 Text en © The Author(s) 2020 Open Access This 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/.
spellingShingle Article
Duan, Jiaxin
Ge, Mingjian
Peng, Jian
Zhang, Yangli
Yang, Li
Wang, Ting
Qin, Tian
Yuan, Rui
Zhang, Yuhong
Cheng, Wei
Application of large-scale targeted sequencing to distinguish multiple lung primary tumors from intrapulmonary metastases
title Application of large-scale targeted sequencing to distinguish multiple lung primary tumors from intrapulmonary metastases
title_full Application of large-scale targeted sequencing to distinguish multiple lung primary tumors from intrapulmonary metastases
title_fullStr Application of large-scale targeted sequencing to distinguish multiple lung primary tumors from intrapulmonary metastases
title_full_unstemmed Application of large-scale targeted sequencing to distinguish multiple lung primary tumors from intrapulmonary metastases
title_short Application of large-scale targeted sequencing to distinguish multiple lung primary tumors from intrapulmonary metastases
title_sort application of large-scale targeted sequencing to distinguish multiple lung primary tumors from intrapulmonary metastases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7606457/
https://www.ncbi.nlm.nih.gov/pubmed/33139840
http://dx.doi.org/10.1038/s41598-020-75935-4
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