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Malignant Pleural Mesothelioma Interactome with 364 Novel Protein-Protein Interactions

Karunakaran, Kalyani B. and Yanamala, Naveena and Boyce, Gregory and Becich, Michael J. and Ganapathiraju, Madhavi K. (2021) Malignant Pleural Mesothelioma Interactome with 364 Novel Protein-Protein Interactions. Cancers, 13 (7). p. 1660. ISSN 2072-6694

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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 con-ducted 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.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Karunakaran, Kalyani B.
Yanamala, Naveena
Boyce, Gregory
Becich, Michael J.becich@pitt.edubecich
Ganapathiraju, Madhavi K.madhavi@pitt.edumadhavi
Date: 1 April 2021
Date Type: Publication
Journal or Publication Title: Cancers
Volume: 13
Number: 7
Publisher: MDPI AG
Page Range: p. 1660
DOI or Unique Handle: 10.3390/cancers13071660
Schools and Programs: School of Medicine > Biomedical Informatics
Refereed: Yes
Uncontrolled Keywords: malignant mesothelioma, protein-protein interactions, systems biology, network analysis, drug repurposing
ISSN: 2072-6694
Official URL:
Funders: Center for Disease Control, National Institute of Occupational Safety and Health, National Institute of Mental Health, National Institutes of Health, USA
Article Type: Research Article
Date Deposited: 08 Jun 2021 17:29
Last Modified: 08 Jun 2021 17:29


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