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MPIC: Molecular Prognostic Indicators in Cirrhosis Database for Clinical Context-Specific in Silico Prognostic Biomarker Validation
Prognostic biomarkers are vital in the management of progressive chronic diseases such as liver cirrhosis, affecting 1–2% of the global population and causing over 1 million deaths every year. Despite numerous candidate biomarkers in literature, the costly and lengthy process of validation hampers t...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6759478/ https://www.ncbi.nlm.nih.gov/pubmed/31620162 http://dx.doi.org/10.3389/fgene.2019.00830 |
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author | Yip, Shun H. Fujiwara, Naoto Burke, Jason Shetler, Anand Peralta, Celina Qian, Tongqi Hoshida, Hiroki Zhu, Shijia Hoshida, Yujin |
author_facet | Yip, Shun H. Fujiwara, Naoto Burke, Jason Shetler, Anand Peralta, Celina Qian, Tongqi Hoshida, Hiroki Zhu, Shijia Hoshida, Yujin |
author_sort | Yip, Shun H. |
collection | PubMed |
description | Prognostic biomarkers are vital in the management of progressive chronic diseases such as liver cirrhosis, affecting 1–2% of the global population and causing over 1 million deaths every year. Despite numerous candidate biomarkers in literature, the costly and lengthy process of validation hampers their clinical translation. Existing omics databases are not suitable for in silico validation due to the ignorance of critical factors, i.e., study design, clinical context of biomarker application, and statistical power. To address the unmet need, we have developed the Molecular Prognostic Indicators in Cirrhosis (MPIC) database as a representative example of an omics database tailored for prognostic biomarker validation. MPIC consists of (i) a molecular and clinical database structured by defined disease context and specific clinical outcome and annotated with employed study design and anticipated statistical power by disease domain experts, (ii) a bioinformatics analysis engine for user-provided gene-signature- or gene-based prognostic prediction, and (iii) a user interface for interactive exploration of relevant clinical cohort/scenario and assessment of significance and reliability of the result for prognostic prediction. MPIC assists cost-effective prognostic biomarker development by facilitating the process of validation, and will transform the care of chronic diseases such as cirrhosis. MPIC is freely available at www.mpic-app.org. The website is implemented in Java, Apache, and MySQL with all major browsers supported. |
format | Online Article Text |
id | pubmed-6759478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67594782019-10-16 MPIC: Molecular Prognostic Indicators in Cirrhosis Database for Clinical Context-Specific in Silico Prognostic Biomarker Validation Yip, Shun H. Fujiwara, Naoto Burke, Jason Shetler, Anand Peralta, Celina Qian, Tongqi Hoshida, Hiroki Zhu, Shijia Hoshida, Yujin Front Genet Genetics Prognostic biomarkers are vital in the management of progressive chronic diseases such as liver cirrhosis, affecting 1–2% of the global population and causing over 1 million deaths every year. Despite numerous candidate biomarkers in literature, the costly and lengthy process of validation hampers their clinical translation. Existing omics databases are not suitable for in silico validation due to the ignorance of critical factors, i.e., study design, clinical context of biomarker application, and statistical power. To address the unmet need, we have developed the Molecular Prognostic Indicators in Cirrhosis (MPIC) database as a representative example of an omics database tailored for prognostic biomarker validation. MPIC consists of (i) a molecular and clinical database structured by defined disease context and specific clinical outcome and annotated with employed study design and anticipated statistical power by disease domain experts, (ii) a bioinformatics analysis engine for user-provided gene-signature- or gene-based prognostic prediction, and (iii) a user interface for interactive exploration of relevant clinical cohort/scenario and assessment of significance and reliability of the result for prognostic prediction. MPIC assists cost-effective prognostic biomarker development by facilitating the process of validation, and will transform the care of chronic diseases such as cirrhosis. MPIC is freely available at www.mpic-app.org. The website is implemented in Java, Apache, and MySQL with all major browsers supported. Frontiers Media S.A. 2019-09-18 /pmc/articles/PMC6759478/ /pubmed/31620162 http://dx.doi.org/10.3389/fgene.2019.00830 Text en Copyright © 2019 Yip, Fujiwara, Burke, Shetler, Peralta, Qian, Hoshida, Zhu and Hoshida http://creativecommons.org/licenses/by/4.0/ 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) and the copyright owner(s) 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 | Genetics Yip, Shun H. Fujiwara, Naoto Burke, Jason Shetler, Anand Peralta, Celina Qian, Tongqi Hoshida, Hiroki Zhu, Shijia Hoshida, Yujin MPIC: Molecular Prognostic Indicators in Cirrhosis Database for Clinical Context-Specific in Silico Prognostic Biomarker Validation |
title | MPIC: Molecular Prognostic Indicators in Cirrhosis Database for Clinical Context-Specific in Silico Prognostic Biomarker Validation |
title_full | MPIC: Molecular Prognostic Indicators in Cirrhosis Database for Clinical Context-Specific in Silico Prognostic Biomarker Validation |
title_fullStr | MPIC: Molecular Prognostic Indicators in Cirrhosis Database for Clinical Context-Specific in Silico Prognostic Biomarker Validation |
title_full_unstemmed | MPIC: Molecular Prognostic Indicators in Cirrhosis Database for Clinical Context-Specific in Silico Prognostic Biomarker Validation |
title_short | MPIC: Molecular Prognostic Indicators in Cirrhosis Database for Clinical Context-Specific in Silico Prognostic Biomarker Validation |
title_sort | mpic: molecular prognostic indicators in cirrhosis database for clinical context-specific in silico prognostic biomarker validation |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6759478/ https://www.ncbi.nlm.nih.gov/pubmed/31620162 http://dx.doi.org/10.3389/fgene.2019.00830 |
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