Molecular Biology Networks and Key Gene Regulators for Inflammatory Biomarkers Shared by Breast Cancer Development: Multi-Omics Systems Analysis

• Published in: Biomolecules (Basel, Switzerland) Vol. 11; no. 9; p. 1379
• Main Authors: Jung, Su Yon, Papp, Jeanette C., Pellegrini, Matteo, Yu, Herbert, Sobel, Eric M.
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 18.09.2021; MDPI
• Subjects: Biomarkers; Biomarkers, Tumor - genetics; Biomarkers, Tumor - metabolism; Breast cancer; Breast Neoplasms - genetics; C-reactive protein; C-Reactive Protein - metabolism; Carcinogenesis - genetics; Carcinogenesis - pathology; Chemokines; CRP/IL6; CXCR3 protein; Cytokines; Datasets; ErbB-2 protein; Female; Gene expression; gene network; Gene Regulatory Networks; Genome-wide association studies; Genomes; Genomics; Genotype & phenotype; Heritability; Humans; Inflammation - genetics; Inflammatory diseases; Interleukin 6; Interleukin-6 - metabolism; Janus kinase; Liver - metabolism; molecular pathways; multi-omics integration; Organ Specificity - genetics; Phenotype; Protein Interaction Maps - genetics; Proteins; Signal Transduction - genetics; Stat3 protein; Stat6 protein; system biology; Womens health; γ-Interferon; system biology; multi-omics integration; CRP/IL6; breast cancer; gene network; molecular pathways; key drivers
• ISSN: 2218-273X; 2218-273X
• DOI: 10.3390/biom11091379

As key inflammatory biomarkers C-reactive protein (CRP) and interleukin-6 (IL6) play an important role in the pathogenesis of non-inflammatory diseases, including specific cancers, such as breast cancer (BC). Previous genome-wide association studies (GWASs) have neither explained the large proportion of genetic heritability nor provided comprehensive understanding of the underlying regulatory mechanisms. We adopted an integrative genomic network approach by incorporating our previous GWAS data for CRP and IL6 with multi-omics datasets, such as whole-blood expression quantitative loci, molecular biologic pathways, and gene regulatory networks to capture the full range of genetic functionalities associated with CRP/IL6 and tissue-specific key drivers (KDs) in gene subnetworks. We applied another systematic genomics approach for BC development to detect shared gene sets in enriched subnetworks across BC and CRP/IL6. We detected the topmost significant common pathways across CRP/IL6 (e.g., immune regulatory; chemokines and their receptors; interferon γ, JAK-STAT, and ERBB4 signaling), several of which overlapped with BC pathways. Further, in gene–gene interaction networks enriched by those topmost pathways, we identified KDs—both well-established (e.g., JAK1/2/3, STAT3) and novel (e.g., CXCR3, CD3D, CD3G, STAT6)—in a tissue-specific manner, for mechanisms shared in regulating CRP/IL6 and BC risk. Our study may provide robust, comprehensive insights into the mechanisms of CRP/IL6 regulation and highlight potential novel genetic targets as preventive and therapeutic strategies for associated disorders, such as BC.