Malignant Pleural Mesothelioma Interactome with 364 Novel Protein-Protein Interactions

Details

• Personal Author:
  Becich MJ ; Boyce G ; Ganapathiraju MK ; Karunakaran KB ; Yanamala N
• Description:
  Malignant pleural mesothelioma (MPM) is an aggressive cancer affecting the outer lining of the lung, with a median survival of less than one year. We constructed an 'MPM interactome' with over 300 computationally predicted protein-protein interactions (PPIs) and over 2400 known PPIs of 62 literature-curated genes whose activity affects MPM. Known PPIs of the 62 MPM associated genes were derived from Biological General Repository for Interaction Datasets (BioGRID) and Human Protein Reference Database (HPRD). Novel PPIs were predicted by applying the HiPPIP algorithm, which computes features of protein pairs such as cellular localization, molecular function, biological process membership, genomic location of the gene, and gene expression in microarray experiments, and classifies the pairwise features as interacting or non-interacting based on a random forest model. We validated five novel predicted PPIs experimentally. The interactome is significantly enriched with genes differentially ex-pressed in MPM tumors compared with normal pleura and with other thoracic tumors, genes whose high expression has been correlated with unfavorable prognosis in lung cancer, genes differentially expressed on crocidolite exposure, and exosome-derived proteins identified from malignant mesothelioma cell lines. 28 of the interactors of MPM proteins are targets of 147 U.S. Food and Drug Administration (FDA)-approved drugs. By comparing disease-associated versus drug-induced differential expression profiles, we identified five potentially repurposable drugs, namely cabazitaxel, primaquine, pyrimethamine, trimethoprim and gliclazide. Preclinical studies may be conducted in vitro to validate these computational results. Interactome analysis of disease-associated genes is a powerful approach with high translational impact. It shows how MPM-associated genes identified by various high throughput studies are functionally linked, leading to clinically translatable results such as repurposed drugs. The PPIs are made available on a webserver with interactive user interface, visualization and advanced search capabilities. [Description provided by NIOSH]
• Subjects:
  Genetics Lung Neoplasms Occupational Health Respiratory System Safety
• Keywords:
  Author Keywords: Malignant Mesothelioma Biological Systems Cancer Drug Repurposing Gene Expression Genes Malignant Neoplasms Mesothelial Cells Mesothelioma Molecular Biology Network Analysis Pleural Cavity Protein-protein Interactions Proteins Systems Biology Translational Research Tumors

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• ISSN:
  2072-6694
• Document Type:
  Text
• Funding:
  Cooperative Agreement
• Genre:
  Journal Article
• Place as Subject:
  OSHA Region 3 ; Pennsylvania ; West Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  HELD - Health Effects Laboratory Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  13
• Issue:
  7
• NIOSHTIC Number:
  nn:20062380
• Citation:
  Cancers 2021 Apr; 13(7):1660
• Contact Point Address:
  Madhavi K. Ganapathiraju, Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15206, USA
• Email:
  madhavi@pitt.edu
• Federal Fiscal Year:
  2021
• NORA Priority Area:
  Manufacturing
• Performing Organization:
  University of Pittsburgh at Pittsburgh
• Peer Reviewed:
  True
• Start Date:
  20060901
• Source Full Name:
  Cancers
• End Date:
  20260831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:705309b42da1df435219e857dba91cf2b77a3457365979b31fe61b4217ca1ee945d1f3541f22c7ad6cb5a484ee4b96395453c3a565c0386e2cf8c49aac27abf6
• Download URL:
  https://stacks.cdc.gov/view/cdc/225642/cdc_225642_DS1.pdf
• File Type:
  [PDF - 4.28 MB ]