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Proteomics analysis of colon cancer progression

BACKGROUND: The aim of this pilot study was to identify proteins associated with advancement of colon cancer (CC). METHODS: A quantitative proteomics approach was used to determine the global changes in the proteome of primary colon cancer from patients with non-cancer normal colon (NC), non-adenoma...

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Autores principales: Saleem, Saira, Tariq, Sahrish, Aleem, Iffat, Sadr-ul Shaheed, Tahseen, Muhammad, Atiq, Aribah, Hassan, Sadia, Abu Bakar, Muhammad, Khattak, Shahid, Syed, Aamir Ali, Ahmad, Asad Hayat, Hussain, Mudassar, Yusuf, Muhammed Aasim, Sutton, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6935225/
https://www.ncbi.nlm.nih.gov/pubmed/31889941
http://dx.doi.org/10.1186/s12014-019-9264-y
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author Saleem, Saira
Tariq, Sahrish
Aleem, Iffat
Sadr-ul Shaheed
Tahseen, Muhammad
Atiq, Aribah
Hassan, Sadia
Abu Bakar, Muhammad
Khattak, Shahid
Syed, Aamir Ali
Ahmad, Asad Hayat
Hussain, Mudassar
Yusuf, Muhammed Aasim
Sutton, Chris
author_facet Saleem, Saira
Tariq, Sahrish
Aleem, Iffat
Sadr-ul Shaheed
Tahseen, Muhammad
Atiq, Aribah
Hassan, Sadia
Abu Bakar, Muhammad
Khattak, Shahid
Syed, Aamir Ali
Ahmad, Asad Hayat
Hussain, Mudassar
Yusuf, Muhammed Aasim
Sutton, Chris
author_sort Saleem, Saira
collection PubMed
description BACKGROUND: The aim of this pilot study was to identify proteins associated with advancement of colon cancer (CC). METHODS: A quantitative proteomics approach was used to determine the global changes in the proteome of primary colon cancer from patients with non-cancer normal colon (NC), non-adenomatous colon polyp (NAP), non-metastatic tumor (CC NM) and metastatic tumor (CC M) tissues, to identify up- and down-regulated proteins. Total protein was extracted from each biopsy, trypsin-digested, iTRAQ-labeled and the resulting peptides separated using strong cation exchange (SCX) and reverse-phase (RP) chromatography on-line to electrospray ionization mass spectrometry (ESI-MS). RESULTS: Database searching of the MS/MS data resulted in the identification of 2777 proteins which were clustered into groups associated with disease progression. Proteins which were changed in all disease stages including benign, and hence indicative of the earliest molecular perturbations, were strongly associated with spliceosomal activity, cell cycle division, and stromal and cytoskeleton disruption reflecting increased proliferation and expansion into the surrounding healthy tissue. Those proteins changed in cancer stages but not in benign, were linked to inflammation/immune response, loss of cell adhesion, mitochondrial function and autophagy, demonstrating early evidence of cells within the nutrient-poor solid mass either undergoing cell death or adjusting for survival. Caveolin-1, which decreased and Matrix metalloproteinase-9, which increased through the three disease stages compared to normal tissue, was selected to validate the proteomics results, but significant patient-to-patient variation obfuscated interpretation so corroborated the contradictory observations made by others. CONCLUSION: Nevertheless, the study has provided significant insights into CC stage progression for further investigation.
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spelling pubmed-69352252019-12-30 Proteomics analysis of colon cancer progression Saleem, Saira Tariq, Sahrish Aleem, Iffat Sadr-ul Shaheed Tahseen, Muhammad Atiq, Aribah Hassan, Sadia Abu Bakar, Muhammad Khattak, Shahid Syed, Aamir Ali Ahmad, Asad Hayat Hussain, Mudassar Yusuf, Muhammed Aasim Sutton, Chris Clin Proteomics Research BACKGROUND: The aim of this pilot study was to identify proteins associated with advancement of colon cancer (CC). METHODS: A quantitative proteomics approach was used to determine the global changes in the proteome of primary colon cancer from patients with non-cancer normal colon (NC), non-adenomatous colon polyp (NAP), non-metastatic tumor (CC NM) and metastatic tumor (CC M) tissues, to identify up- and down-regulated proteins. Total protein was extracted from each biopsy, trypsin-digested, iTRAQ-labeled and the resulting peptides separated using strong cation exchange (SCX) and reverse-phase (RP) chromatography on-line to electrospray ionization mass spectrometry (ESI-MS). RESULTS: Database searching of the MS/MS data resulted in the identification of 2777 proteins which were clustered into groups associated with disease progression. Proteins which were changed in all disease stages including benign, and hence indicative of the earliest molecular perturbations, were strongly associated with spliceosomal activity, cell cycle division, and stromal and cytoskeleton disruption reflecting increased proliferation and expansion into the surrounding healthy tissue. Those proteins changed in cancer stages but not in benign, were linked to inflammation/immune response, loss of cell adhesion, mitochondrial function and autophagy, demonstrating early evidence of cells within the nutrient-poor solid mass either undergoing cell death or adjusting for survival. Caveolin-1, which decreased and Matrix metalloproteinase-9, which increased through the three disease stages compared to normal tissue, was selected to validate the proteomics results, but significant patient-to-patient variation obfuscated interpretation so corroborated the contradictory observations made by others. CONCLUSION: Nevertheless, the study has provided significant insights into CC stage progression for further investigation. BioMed Central 2019-12-28 /pmc/articles/PMC6935225/ /pubmed/31889941 http://dx.doi.org/10.1186/s12014-019-9264-y Text en © The Author(s) 2019 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/. The Creative Commons Public Domain Dedication waiver (http://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 Research
Saleem, Saira
Tariq, Sahrish
Aleem, Iffat
Sadr-ul Shaheed
Tahseen, Muhammad
Atiq, Aribah
Hassan, Sadia
Abu Bakar, Muhammad
Khattak, Shahid
Syed, Aamir Ali
Ahmad, Asad Hayat
Hussain, Mudassar
Yusuf, Muhammed Aasim
Sutton, Chris
Proteomics analysis of colon cancer progression
title Proteomics analysis of colon cancer progression
title_full Proteomics analysis of colon cancer progression
title_fullStr Proteomics analysis of colon cancer progression
title_full_unstemmed Proteomics analysis of colon cancer progression
title_short Proteomics analysis of colon cancer progression
title_sort proteomics analysis of colon cancer progression
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6935225/
https://www.ncbi.nlm.nih.gov/pubmed/31889941
http://dx.doi.org/10.1186/s12014-019-9264-y
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