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Spatial Proteomic Analysis of Isogenic Metastatic Colorectal Cancer Cells Reveals Key Dysregulated Proteins Associated with Lymph Node, Liver, and Lung Metastasis

Metastasis is the primary cause of colorectal cancer (CRC) death. The liver and lung, besides adjacent lymph nodes, are the most common sites of metastasis. Here, we aimed to study the lymph nodes, liver, and lung CRC metastasis by quantitative spatial proteomics analysis using CRC cell-based models...

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Autores principales: Solís-Fernández, Guillermo, Montero-Calle, Ana, Martínez-Useros, Javier, López-Janeiro, Álvaro, de los Ríos, Vivian, Sanz, Rodrigo, Dziakova, Jana, Milagrosa, Elena, Fernández-Aceñero, María Jesús, Peláez-García, Alberto, Casal, José Ignacio, Hofkens, Johan, Rocha, Susana, Barderas, Rodrigo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834500/
https://www.ncbi.nlm.nih.gov/pubmed/35159257
http://dx.doi.org/10.3390/cells11030447
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author Solís-Fernández, Guillermo
Montero-Calle, Ana
Martínez-Useros, Javier
López-Janeiro, Álvaro
de los Ríos, Vivian
Sanz, Rodrigo
Dziakova, Jana
Milagrosa, Elena
Fernández-Aceñero, María Jesús
Peláez-García, Alberto
Casal, José Ignacio
Hofkens, Johan
Rocha, Susana
Barderas, Rodrigo
author_facet Solís-Fernández, Guillermo
Montero-Calle, Ana
Martínez-Useros, Javier
López-Janeiro, Álvaro
de los Ríos, Vivian
Sanz, Rodrigo
Dziakova, Jana
Milagrosa, Elena
Fernández-Aceñero, María Jesús
Peláez-García, Alberto
Casal, José Ignacio
Hofkens, Johan
Rocha, Susana
Barderas, Rodrigo
author_sort Solís-Fernández, Guillermo
collection PubMed
description Metastasis is the primary cause of colorectal cancer (CRC) death. The liver and lung, besides adjacent lymph nodes, are the most common sites of metastasis. Here, we aimed to study the lymph nodes, liver, and lung CRC metastasis by quantitative spatial proteomics analysis using CRC cell-based models that recapitulate these metastases. The isogenic KM12 cell system composed of the non-metastatic KM12C cells, liver metastatic KM12SM cells, and liver and lung metastatic KM12L4a cells, and the isogenic non-metastatic SW480 and lymph nodes metastatic SW620 cells, were used. Cells were fractionated to study by proteomics five subcellular fractions corresponding to cytoplasm, membrane, nucleus, chromatin-bound proteins, and cytoskeletal proteins, and the secretome. Trypsin digested extracts were labeled with TMT 11-plex and fractionated prior to proteomics analysis on a Q Exactive. We provide data on protein abundance and localization of 4710 proteins in their different subcellular fractions, depicting dysregulation of proteins in abundance and/or localization in the most common sites of CRC metastasis. After bioinformatics, alterations in abundance and localization for selected proteins from diverse subcellular localizations were validated via WB, IF, IHC, and ELISA using CRC cells, patient tissues, and plasma samples. Results supported the relevance of the proteomics results in an actual CRC scenario. It was particularly relevant that the measurement of GLG1 in plasma showed diagnostic ability of advanced stages of the disease, and that the mislocalization of MUC5AC and BAIAP2 in the nucleus and membrane, respectively, was significantly associated with poor prognosis of CRC patients. Our results demonstrate that the analysis of cell extracts dilutes protein alterations in abundance in specific localizations that might only be observed studying specific subcellular fractions, as here observed for BAIAP2, GLG1, PHYHIPL, TNFRSF10A, or CDKN2AIP, which are interesting proteins that should be further analyzed in CRC metastasis.
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spelling pubmed-88345002022-02-12 Spatial Proteomic Analysis of Isogenic Metastatic Colorectal Cancer Cells Reveals Key Dysregulated Proteins Associated with Lymph Node, Liver, and Lung Metastasis Solís-Fernández, Guillermo Montero-Calle, Ana Martínez-Useros, Javier López-Janeiro, Álvaro de los Ríos, Vivian Sanz, Rodrigo Dziakova, Jana Milagrosa, Elena Fernández-Aceñero, María Jesús Peláez-García, Alberto Casal, José Ignacio Hofkens, Johan Rocha, Susana Barderas, Rodrigo Cells Article Metastasis is the primary cause of colorectal cancer (CRC) death. The liver and lung, besides adjacent lymph nodes, are the most common sites of metastasis. Here, we aimed to study the lymph nodes, liver, and lung CRC metastasis by quantitative spatial proteomics analysis using CRC cell-based models that recapitulate these metastases. The isogenic KM12 cell system composed of the non-metastatic KM12C cells, liver metastatic KM12SM cells, and liver and lung metastatic KM12L4a cells, and the isogenic non-metastatic SW480 and lymph nodes metastatic SW620 cells, were used. Cells were fractionated to study by proteomics five subcellular fractions corresponding to cytoplasm, membrane, nucleus, chromatin-bound proteins, and cytoskeletal proteins, and the secretome. Trypsin digested extracts were labeled with TMT 11-plex and fractionated prior to proteomics analysis on a Q Exactive. We provide data on protein abundance and localization of 4710 proteins in their different subcellular fractions, depicting dysregulation of proteins in abundance and/or localization in the most common sites of CRC metastasis. After bioinformatics, alterations in abundance and localization for selected proteins from diverse subcellular localizations were validated via WB, IF, IHC, and ELISA using CRC cells, patient tissues, and plasma samples. Results supported the relevance of the proteomics results in an actual CRC scenario. It was particularly relevant that the measurement of GLG1 in plasma showed diagnostic ability of advanced stages of the disease, and that the mislocalization of MUC5AC and BAIAP2 in the nucleus and membrane, respectively, was significantly associated with poor prognosis of CRC patients. Our results demonstrate that the analysis of cell extracts dilutes protein alterations in abundance in specific localizations that might only be observed studying specific subcellular fractions, as here observed for BAIAP2, GLG1, PHYHIPL, TNFRSF10A, or CDKN2AIP, which are interesting proteins that should be further analyzed in CRC metastasis. MDPI 2022-01-27 /pmc/articles/PMC8834500/ /pubmed/35159257 http://dx.doi.org/10.3390/cells11030447 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Solís-Fernández, Guillermo
Montero-Calle, Ana
Martínez-Useros, Javier
López-Janeiro, Álvaro
de los Ríos, Vivian
Sanz, Rodrigo
Dziakova, Jana
Milagrosa, Elena
Fernández-Aceñero, María Jesús
Peláez-García, Alberto
Casal, José Ignacio
Hofkens, Johan
Rocha, Susana
Barderas, Rodrigo
Spatial Proteomic Analysis of Isogenic Metastatic Colorectal Cancer Cells Reveals Key Dysregulated Proteins Associated with Lymph Node, Liver, and Lung Metastasis
title Spatial Proteomic Analysis of Isogenic Metastatic Colorectal Cancer Cells Reveals Key Dysregulated Proteins Associated with Lymph Node, Liver, and Lung Metastasis
title_full Spatial Proteomic Analysis of Isogenic Metastatic Colorectal Cancer Cells Reveals Key Dysregulated Proteins Associated with Lymph Node, Liver, and Lung Metastasis
title_fullStr Spatial Proteomic Analysis of Isogenic Metastatic Colorectal Cancer Cells Reveals Key Dysregulated Proteins Associated with Lymph Node, Liver, and Lung Metastasis
title_full_unstemmed Spatial Proteomic Analysis of Isogenic Metastatic Colorectal Cancer Cells Reveals Key Dysregulated Proteins Associated with Lymph Node, Liver, and Lung Metastasis
title_short Spatial Proteomic Analysis of Isogenic Metastatic Colorectal Cancer Cells Reveals Key Dysregulated Proteins Associated with Lymph Node, Liver, and Lung Metastasis
title_sort spatial proteomic analysis of isogenic metastatic colorectal cancer cells reveals key dysregulated proteins associated with lymph node, liver, and lung metastasis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834500/
https://www.ncbi.nlm.nih.gov/pubmed/35159257
http://dx.doi.org/10.3390/cells11030447
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