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Preferential expression of potential markers for cancer stem cells in large cell neuroendocrine carcinoma of the lung. An FFPE proteomic study
BACKGROUND: Large cell neuroendocrine carcinoma (LCNEC) of the lung, a subtype of large cell carcinoma (LCC), is characterized by neuroendocrine differentiation that small cell lung carcinoma (SCLC) shares. Pre-therapeutic histological distinction between LCNEC and SCLC has so far been problematic,...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3178477/ https://www.ncbi.nlm.nih.gov/pubmed/21888658 http://dx.doi.org/10.1186/2043-9113-1-23 |
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author | Nomura, Masaharu Fukuda, Tetsuya Fujii, Kiyonaga Kawamura, Takeshi Tojo, Hiromasa Kihara, Makoto Bando, Yasuhiko Gazdar, Adi F Tsuboi, Masahiro Oshiro, Hisashi Nagao, Toshitaka Ohira, Tatsuo Ikeda, Norihiko Gotoh, Noriko Kato, Harubumi Marko-Varga, Gyorgy Nishimura, Toshihide |
author_facet | Nomura, Masaharu Fukuda, Tetsuya Fujii, Kiyonaga Kawamura, Takeshi Tojo, Hiromasa Kihara, Makoto Bando, Yasuhiko Gazdar, Adi F Tsuboi, Masahiro Oshiro, Hisashi Nagao, Toshitaka Ohira, Tatsuo Ikeda, Norihiko Gotoh, Noriko Kato, Harubumi Marko-Varga, Gyorgy Nishimura, Toshihide |
author_sort | Nomura, Masaharu |
collection | PubMed |
description | BACKGROUND: Large cell neuroendocrine carcinoma (LCNEC) of the lung, a subtype of large cell carcinoma (LCC), is characterized by neuroendocrine differentiation that small cell lung carcinoma (SCLC) shares. Pre-therapeutic histological distinction between LCNEC and SCLC has so far been problematic, leading to adverse clinical outcome. We started a project establishing protein targets characteristic of LCNEC with a proteomic method using formalin fixed paraffin-embedded (FFPE) tissues, which will help make diagnosis convincing. METHODS: Cancer cells were collected by laser microdissection from cancer foci in FFPE tissues of LCNEC (n = 4), SCLC (n = 5), and LCC (n = 5) with definite histological diagnosis. Proteins were extracted from the harvested sections, trypsin-digested, and subjected to HPLC/mass spectrometry. Proteins identified by database search were semi-quantified by spectral counting and statistically sorted by pair-wise G-statistics. The results were immunohistochemically verified using a total of 10 cases for each group to confirm proteomic results. RESULTS: A total of 1981 proteins identified from the three cancer groups were subjected to pair-wise G-test under p < 0.05 and specificity of a protein's expression to LCNEC was checked using a 3D plot with the coordinates comprising G-statistic values for every two group comparisons. We identified four protein candidates preferentially expressed in LCNEC compared with SCLC with convincingly low p-values: aldehyde dehydrogenase 1 family member A1 (AL1A1) (p = 6.1 × 10(-4)), aldo-keto reductase family 1 members C1 (AK1C1) (p = 9.6x10(-10)) and C3 (AK1C3) (p = 3.9x10(-10)) and CD44 antigen (p = 0.021). These p-values were confirmed by non-parametric exact inference tests. Interestingly, all these candidates would belong to cancer stem cell markers. Immunohistochmistry supported proteomic results. CONCLUSIONS: These results suggest that candidate biomarkers of LCNEC were related to cancer stem cells and this proteomic approach via FFPE samples was effective to detect them. |
format | Online Article Text |
id | pubmed-3178477 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-31784772011-09-23 Preferential expression of potential markers for cancer stem cells in large cell neuroendocrine carcinoma of the lung. An FFPE proteomic study Nomura, Masaharu Fukuda, Tetsuya Fujii, Kiyonaga Kawamura, Takeshi Tojo, Hiromasa Kihara, Makoto Bando, Yasuhiko Gazdar, Adi F Tsuboi, Masahiro Oshiro, Hisashi Nagao, Toshitaka Ohira, Tatsuo Ikeda, Norihiko Gotoh, Noriko Kato, Harubumi Marko-Varga, Gyorgy Nishimura, Toshihide J Clin Bioinforma Research BACKGROUND: Large cell neuroendocrine carcinoma (LCNEC) of the lung, a subtype of large cell carcinoma (LCC), is characterized by neuroendocrine differentiation that small cell lung carcinoma (SCLC) shares. Pre-therapeutic histological distinction between LCNEC and SCLC has so far been problematic, leading to adverse clinical outcome. We started a project establishing protein targets characteristic of LCNEC with a proteomic method using formalin fixed paraffin-embedded (FFPE) tissues, which will help make diagnosis convincing. METHODS: Cancer cells were collected by laser microdissection from cancer foci in FFPE tissues of LCNEC (n = 4), SCLC (n = 5), and LCC (n = 5) with definite histological diagnosis. Proteins were extracted from the harvested sections, trypsin-digested, and subjected to HPLC/mass spectrometry. Proteins identified by database search were semi-quantified by spectral counting and statistically sorted by pair-wise G-statistics. The results were immunohistochemically verified using a total of 10 cases for each group to confirm proteomic results. RESULTS: A total of 1981 proteins identified from the three cancer groups were subjected to pair-wise G-test under p < 0.05 and specificity of a protein's expression to LCNEC was checked using a 3D plot with the coordinates comprising G-statistic values for every two group comparisons. We identified four protein candidates preferentially expressed in LCNEC compared with SCLC with convincingly low p-values: aldehyde dehydrogenase 1 family member A1 (AL1A1) (p = 6.1 × 10(-4)), aldo-keto reductase family 1 members C1 (AK1C1) (p = 9.6x10(-10)) and C3 (AK1C3) (p = 3.9x10(-10)) and CD44 antigen (p = 0.021). These p-values were confirmed by non-parametric exact inference tests. Interestingly, all these candidates would belong to cancer stem cell markers. Immunohistochmistry supported proteomic results. CONCLUSIONS: These results suggest that candidate biomarkers of LCNEC were related to cancer stem cells and this proteomic approach via FFPE samples was effective to detect them. BioMed Central 2011-09-03 /pmc/articles/PMC3178477/ /pubmed/21888658 http://dx.doi.org/10.1186/2043-9113-1-23 Text en Copyright ©2011 Nomura et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Nomura, Masaharu Fukuda, Tetsuya Fujii, Kiyonaga Kawamura, Takeshi Tojo, Hiromasa Kihara, Makoto Bando, Yasuhiko Gazdar, Adi F Tsuboi, Masahiro Oshiro, Hisashi Nagao, Toshitaka Ohira, Tatsuo Ikeda, Norihiko Gotoh, Noriko Kato, Harubumi Marko-Varga, Gyorgy Nishimura, Toshihide Preferential expression of potential markers for cancer stem cells in large cell neuroendocrine carcinoma of the lung. An FFPE proteomic study |
title | Preferential expression of potential markers for cancer stem cells in large cell neuroendocrine carcinoma of the lung. An FFPE proteomic study |
title_full | Preferential expression of potential markers for cancer stem cells in large cell neuroendocrine carcinoma of the lung. An FFPE proteomic study |
title_fullStr | Preferential expression of potential markers for cancer stem cells in large cell neuroendocrine carcinoma of the lung. An FFPE proteomic study |
title_full_unstemmed | Preferential expression of potential markers for cancer stem cells in large cell neuroendocrine carcinoma of the lung. An FFPE proteomic study |
title_short | Preferential expression of potential markers for cancer stem cells in large cell neuroendocrine carcinoma of the lung. An FFPE proteomic study |
title_sort | preferential expression of potential markers for cancer stem cells in large cell neuroendocrine carcinoma of the lung. an ffpe proteomic study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3178477/ https://www.ncbi.nlm.nih.gov/pubmed/21888658 http://dx.doi.org/10.1186/2043-9113-1-23 |
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