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Mutational analysis of multiple lung cancers: Discrimination between primary and metastatic lung cancers by genomic profile

In cases of multiple lung cancers, individual tumors may represent either a primary lung cancer or both primary and metastatic lung cancers. Treatment selection varies depending on such features, and this discrimination is critically important in predicting prognosis. The present study was undertake...

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Autores principales: Goto, Taichiro, Hirotsu, Yosuke, Mochizuki, Hitoshi, Nakagomi, Takahiro, Shikata, Daichi, Yokoyama, Yujiro, Oyama, Toshio, Amemiya, Kenji, Okimoto, Kenichiro, Omata, Masao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5458195/
https://www.ncbi.nlm.nih.gov/pubmed/28415711
http://dx.doi.org/10.18632/oncotarget.16096
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author Goto, Taichiro
Hirotsu, Yosuke
Mochizuki, Hitoshi
Nakagomi, Takahiro
Shikata, Daichi
Yokoyama, Yujiro
Oyama, Toshio
Amemiya, Kenji
Okimoto, Kenichiro
Omata, Masao
author_facet Goto, Taichiro
Hirotsu, Yosuke
Mochizuki, Hitoshi
Nakagomi, Takahiro
Shikata, Daichi
Yokoyama, Yujiro
Oyama, Toshio
Amemiya, Kenji
Okimoto, Kenichiro
Omata, Masao
author_sort Goto, Taichiro
collection PubMed
description In cases of multiple lung cancers, individual tumors may represent either a primary lung cancer or both primary and metastatic lung cancers. Treatment selection varies depending on such features, and this discrimination is critically important in predicting prognosis. The present study was undertaken to determine the efficacy and validity of mutation analysis as a means of determining whether multiple lung cancers are primary or metastatic in nature. The study involved 12 patients who underwent surgery in our department for multiple lung cancers between July 2014 and March 2016. Tumor cells were collected from formalin-fixed paraffin-embedded tissues of the primary lesions by using laser capture microdissection, and targeted sequencing of 53 lung cancer-related genes was performed. In surgically treated patients with multiple lung cancers, the driver mutation profile differed among the individual tumors. Meanwhile, in a case of a solitary lung tumor that appeared after surgery for double primary lung cancers, gene mutation analysis using a bronchoscopic biopsy sample revealed a gene mutation profile consistent with the surgically resected specimen, thus demonstrating that the tumor in this case was metastatic. In cases of multiple lung cancers, the comparison of driver mutation profiles clarifies the clonal origin of the tumors and enables discrimination between primary and metastatic tumors.
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spelling pubmed-54581952017-06-08 Mutational analysis of multiple lung cancers: Discrimination between primary and metastatic lung cancers by genomic profile Goto, Taichiro Hirotsu, Yosuke Mochizuki, Hitoshi Nakagomi, Takahiro Shikata, Daichi Yokoyama, Yujiro Oyama, Toshio Amemiya, Kenji Okimoto, Kenichiro Omata, Masao Oncotarget Research Paper In cases of multiple lung cancers, individual tumors may represent either a primary lung cancer or both primary and metastatic lung cancers. Treatment selection varies depending on such features, and this discrimination is critically important in predicting prognosis. The present study was undertaken to determine the efficacy and validity of mutation analysis as a means of determining whether multiple lung cancers are primary or metastatic in nature. The study involved 12 patients who underwent surgery in our department for multiple lung cancers between July 2014 and March 2016. Tumor cells were collected from formalin-fixed paraffin-embedded tissues of the primary lesions by using laser capture microdissection, and targeted sequencing of 53 lung cancer-related genes was performed. In surgically treated patients with multiple lung cancers, the driver mutation profile differed among the individual tumors. Meanwhile, in a case of a solitary lung tumor that appeared after surgery for double primary lung cancers, gene mutation analysis using a bronchoscopic biopsy sample revealed a gene mutation profile consistent with the surgically resected specimen, thus demonstrating that the tumor in this case was metastatic. In cases of multiple lung cancers, the comparison of driver mutation profiles clarifies the clonal origin of the tumors and enables discrimination between primary and metastatic tumors. Impact Journals LLC 2017-03-10 /pmc/articles/PMC5458195/ /pubmed/28415711 http://dx.doi.org/10.18632/oncotarget.16096 Text en Copyright: © 2017 Goto et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Goto, Taichiro
Hirotsu, Yosuke
Mochizuki, Hitoshi
Nakagomi, Takahiro
Shikata, Daichi
Yokoyama, Yujiro
Oyama, Toshio
Amemiya, Kenji
Okimoto, Kenichiro
Omata, Masao
Mutational analysis of multiple lung cancers: Discrimination between primary and metastatic lung cancers by genomic profile
title Mutational analysis of multiple lung cancers: Discrimination between primary and metastatic lung cancers by genomic profile
title_full Mutational analysis of multiple lung cancers: Discrimination between primary and metastatic lung cancers by genomic profile
title_fullStr Mutational analysis of multiple lung cancers: Discrimination between primary and metastatic lung cancers by genomic profile
title_full_unstemmed Mutational analysis of multiple lung cancers: Discrimination between primary and metastatic lung cancers by genomic profile
title_short Mutational analysis of multiple lung cancers: Discrimination between primary and metastatic lung cancers by genomic profile
title_sort mutational analysis of multiple lung cancers: discrimination between primary and metastatic lung cancers by genomic profile
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5458195/
https://www.ncbi.nlm.nih.gov/pubmed/28415711
http://dx.doi.org/10.18632/oncotarget.16096
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