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Genome-wide multi-omics profiling of colorectal cancer identifies immune determinants strongly associated with relapse

The use and benefit of adjuvant chemotherapy to treat stage II colorectal cancer (CRC) patients is not well understood since the majority of these patients are cured by surgery alone. Identification of biological markers of relapse is a critical challenge to effectively target treatments to the ~20%...

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Autores principales: Madhavan, Subha, Gusev, Yuriy, Natarajan, Thanemozhi G., Song, Lei, Bhuvaneshwar, Krithika, Gauba, Robinder, Pandey, Abhishek, Haddad, Bassem R., Goerlitz, David, Cheema, Amrita K., Juhl, Hartmut, Kallakury, Bhaskar, Marshall, John L., Byers, Stephen W., Weiner, Louis M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3834519/
https://www.ncbi.nlm.nih.gov/pubmed/24312117
http://dx.doi.org/10.3389/fgene.2013.00236
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author Madhavan, Subha
Gusev, Yuriy
Natarajan, Thanemozhi G.
Song, Lei
Bhuvaneshwar, Krithika
Gauba, Robinder
Pandey, Abhishek
Haddad, Bassem R.
Goerlitz, David
Cheema, Amrita K.
Juhl, Hartmut
Kallakury, Bhaskar
Marshall, John L.
Byers, Stephen W.
Weiner, Louis M.
author_facet Madhavan, Subha
Gusev, Yuriy
Natarajan, Thanemozhi G.
Song, Lei
Bhuvaneshwar, Krithika
Gauba, Robinder
Pandey, Abhishek
Haddad, Bassem R.
Goerlitz, David
Cheema, Amrita K.
Juhl, Hartmut
Kallakury, Bhaskar
Marshall, John L.
Byers, Stephen W.
Weiner, Louis M.
author_sort Madhavan, Subha
collection PubMed
description The use and benefit of adjuvant chemotherapy to treat stage II colorectal cancer (CRC) patients is not well understood since the majority of these patients are cured by surgery alone. Identification of biological markers of relapse is a critical challenge to effectively target treatments to the ~20% of patients destined to relapse. We have integrated molecular profiling results of several “omics” data types to determine the most reliable prognostic biomarkers for relapse in CRC using data from 40 stage I and II CRC patients. We identified 31 multi-omics features that highly correlate with relapse. The data types were integrated using multi-step analytical approach with consecutive elimination of redundant molecular features. For each data type a systems biology analysis was performed to identify pathways biological processes and disease categories most affected in relapse. The biomarkers detected in tumors urine and blood of patients indicated a strong association with immune processes including aberrant regulation of T-cell and B-cell activation that could lead to overall differences in lymphocyte recruitment for tumor infiltration and markers indicating likelihood of future relapse. The immune response was the biologically most coherent signature that emerged from our analyses among several other biological processes and corroborates other studies showing a strong immune response in patients less likely to relapse.
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spelling pubmed-38345192013-12-05 Genome-wide multi-omics profiling of colorectal cancer identifies immune determinants strongly associated with relapse Madhavan, Subha Gusev, Yuriy Natarajan, Thanemozhi G. Song, Lei Bhuvaneshwar, Krithika Gauba, Robinder Pandey, Abhishek Haddad, Bassem R. Goerlitz, David Cheema, Amrita K. Juhl, Hartmut Kallakury, Bhaskar Marshall, John L. Byers, Stephen W. Weiner, Louis M. Front Genet Oncology The use and benefit of adjuvant chemotherapy to treat stage II colorectal cancer (CRC) patients is not well understood since the majority of these patients are cured by surgery alone. Identification of biological markers of relapse is a critical challenge to effectively target treatments to the ~20% of patients destined to relapse. We have integrated molecular profiling results of several “omics” data types to determine the most reliable prognostic biomarkers for relapse in CRC using data from 40 stage I and II CRC patients. We identified 31 multi-omics features that highly correlate with relapse. The data types were integrated using multi-step analytical approach with consecutive elimination of redundant molecular features. For each data type a systems biology analysis was performed to identify pathways biological processes and disease categories most affected in relapse. The biomarkers detected in tumors urine and blood of patients indicated a strong association with immune processes including aberrant regulation of T-cell and B-cell activation that could lead to overall differences in lymphocyte recruitment for tumor infiltration and markers indicating likelihood of future relapse. The immune response was the biologically most coherent signature that emerged from our analyses among several other biological processes and corroborates other studies showing a strong immune response in patients less likely to relapse. Frontiers Media S.A. 2013-11-20 /pmc/articles/PMC3834519/ /pubmed/24312117 http://dx.doi.org/10.3389/fgene.2013.00236 Text en Copyright © 2013 Madhavan, Gusev, Natarajan, Song, Bhuvaneshwar, Gauba, Pandey, Haddad, Goerlitz, Cheema, Juhl, Kallakury, Marshall, Byers and Weiner. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Madhavan, Subha
Gusev, Yuriy
Natarajan, Thanemozhi G.
Song, Lei
Bhuvaneshwar, Krithika
Gauba, Robinder
Pandey, Abhishek
Haddad, Bassem R.
Goerlitz, David
Cheema, Amrita K.
Juhl, Hartmut
Kallakury, Bhaskar
Marshall, John L.
Byers, Stephen W.
Weiner, Louis M.
Genome-wide multi-omics profiling of colorectal cancer identifies immune determinants strongly associated with relapse
title Genome-wide multi-omics profiling of colorectal cancer identifies immune determinants strongly associated with relapse
title_full Genome-wide multi-omics profiling of colorectal cancer identifies immune determinants strongly associated with relapse
title_fullStr Genome-wide multi-omics profiling of colorectal cancer identifies immune determinants strongly associated with relapse
title_full_unstemmed Genome-wide multi-omics profiling of colorectal cancer identifies immune determinants strongly associated with relapse
title_short Genome-wide multi-omics profiling of colorectal cancer identifies immune determinants strongly associated with relapse
title_sort genome-wide multi-omics profiling of colorectal cancer identifies immune determinants strongly associated with relapse
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3834519/
https://www.ncbi.nlm.nih.gov/pubmed/24312117
http://dx.doi.org/10.3389/fgene.2013.00236
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