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Identification and Validation of HCC-specific Gene Transcriptional Signature for Tumor Antigen Discovery
A novel two-step bioinformatics strategy was applied for identification of signatures with therapeutic implications in hepatitis-associated HCC. Transcriptional profiles from HBV- and HCV-associated HCC samples were compared with non-tumor liver controls. Resulting HCC modulated genes were subsequen...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4937235/ https://www.ncbi.nlm.nih.gov/pubmed/27387388 http://dx.doi.org/10.1038/srep29258 |
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author | Petrizzo, Annacarmen Caruso, Francesca Pia Tagliamonte, Maria Tornesello, Maria Lina Ceccarelli, Michele Costa, Valerio Aprile, Marianna Esposito, Roberta Ciliberto, Gennaro Buonaguro, Franco M. Buonaguro, Luigi |
author_facet | Petrizzo, Annacarmen Caruso, Francesca Pia Tagliamonte, Maria Tornesello, Maria Lina Ceccarelli, Michele Costa, Valerio Aprile, Marianna Esposito, Roberta Ciliberto, Gennaro Buonaguro, Franco M. Buonaguro, Luigi |
author_sort | Petrizzo, Annacarmen |
collection | PubMed |
description | A novel two-step bioinformatics strategy was applied for identification of signatures with therapeutic implications in hepatitis-associated HCC. Transcriptional profiles from HBV- and HCV-associated HCC samples were compared with non-tumor liver controls. Resulting HCC modulated genes were subsequently compared with different non-tumor tissue samples. Two related signatures were identified, namely “HCC-associated” and “HCC-specific”. Expression data were validated by RNA-Seq analysis carried out on unrelated HCC samples and protein expression was confirmed according to The Human Protein Atlas" (http://proteinatlas.org/), a public repository of immunohistochemistry data. Among all, aldo-keto reductase family 1 member B10, and IGF2 mRNA-binding protein 3 were found strictly HCC-specific with no expression in 18/20 normal tissues. Target peptides for vaccine design were predicted for both proteins associated with the most prevalent HLA-class I and II alleles. The described novel strategy showed to be feasible for identification of HCC-specific proteins as highly potential target for HCC immunotherapy. |
format | Online Article Text |
id | pubmed-4937235 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49372352016-07-13 Identification and Validation of HCC-specific Gene Transcriptional Signature for Tumor Antigen Discovery Petrizzo, Annacarmen Caruso, Francesca Pia Tagliamonte, Maria Tornesello, Maria Lina Ceccarelli, Michele Costa, Valerio Aprile, Marianna Esposito, Roberta Ciliberto, Gennaro Buonaguro, Franco M. Buonaguro, Luigi Sci Rep Article A novel two-step bioinformatics strategy was applied for identification of signatures with therapeutic implications in hepatitis-associated HCC. Transcriptional profiles from HBV- and HCV-associated HCC samples were compared with non-tumor liver controls. Resulting HCC modulated genes were subsequently compared with different non-tumor tissue samples. Two related signatures were identified, namely “HCC-associated” and “HCC-specific”. Expression data were validated by RNA-Seq analysis carried out on unrelated HCC samples and protein expression was confirmed according to The Human Protein Atlas" (http://proteinatlas.org/), a public repository of immunohistochemistry data. Among all, aldo-keto reductase family 1 member B10, and IGF2 mRNA-binding protein 3 were found strictly HCC-specific with no expression in 18/20 normal tissues. Target peptides for vaccine design were predicted for both proteins associated with the most prevalent HLA-class I and II alleles. The described novel strategy showed to be feasible for identification of HCC-specific proteins as highly potential target for HCC immunotherapy. Nature Publishing Group 2016-07-08 /pmc/articles/PMC4937235/ /pubmed/27387388 http://dx.doi.org/10.1038/srep29258 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Petrizzo, Annacarmen Caruso, Francesca Pia Tagliamonte, Maria Tornesello, Maria Lina Ceccarelli, Michele Costa, Valerio Aprile, Marianna Esposito, Roberta Ciliberto, Gennaro Buonaguro, Franco M. Buonaguro, Luigi Identification and Validation of HCC-specific Gene Transcriptional Signature for Tumor Antigen Discovery |
title | Identification and Validation of HCC-specific Gene Transcriptional Signature for Tumor Antigen Discovery |
title_full | Identification and Validation of HCC-specific Gene Transcriptional Signature for Tumor Antigen Discovery |
title_fullStr | Identification and Validation of HCC-specific Gene Transcriptional Signature for Tumor Antigen Discovery |
title_full_unstemmed | Identification and Validation of HCC-specific Gene Transcriptional Signature for Tumor Antigen Discovery |
title_short | Identification and Validation of HCC-specific Gene Transcriptional Signature for Tumor Antigen Discovery |
title_sort | identification and validation of hcc-specific gene transcriptional signature for tumor antigen discovery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4937235/ https://www.ncbi.nlm.nih.gov/pubmed/27387388 http://dx.doi.org/10.1038/srep29258 |
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