TY - JOUR
T1 - MPIC
T2 - Molecular Prognostic Indicators in Cirrhosis Database for Clinical Context-Specific in Silico Prognostic Biomarker Validation
AU - Yip, Shun H.
AU - Fujiwara, Naoto
AU - Burke, Jason
AU - Shetler, Anand
AU - Peralta, Celina
AU - Qian, Tongqi
AU - Hoshida, Hiroki
AU - Zhu, Shijia
AU - Hoshida, Yujin
N1 - Publisher Copyright:
© Copyright © 2019 Yip, Fujiwara, Burke, Shetler, Peralta, Qian, Hoshida, Zhu and Hoshida.
PY - 2019/9/18
Y1 - 2019/9/18
N2 - 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.
AB - 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.
KW - chronic disease
KW - cirrhosis
KW - molecular signature
KW - prognostic prediction
KW - study design
UR - http://www.scopus.com/inward/record.url?scp=85072898854&partnerID=8YFLogxK
U2 - 10.3389/fgene.2019.00830
DO - 10.3389/fgene.2019.00830
M3 - Article
AN - SCOPUS:85072898854
SN - 1664-8021
VL - 10
JO - Frontiers in Genetics
JF - Frontiers in Genetics
M1 - 830
ER -