Differential Protein Interactome in Esophageal Squamous Cell Carcinoma Offers Novel Systems Biomarker Candidates with High Diagnostic and Prognostic Performance.

drug repositioning esophageal squamous cell carcinoma personalized medicine predictive diagnostics prognostic biomarker protein-protein interactions

Journal

Omics : a journal of integrative biology
ISSN: 1557-8100
Titre abrégé: OMICS
Pays: United States
ID NLM: 101131135

Informations de publication

Date de publication:
08 2021
Historique:
pubmed: 24 7 2021
medline: 14 1 2022
entrez: 23 7 2021
Statut: ppublish

Résumé

Esophageal squamous cell carcinoma (ESCC) is among the most dangerous cancers with high mortality and lack of robust diagnostics and personalized/precision therapeutics. To achieve a systems-level understanding of tumorigenesis, unraveling of variations in the protein interactome and determination of key proteins exhibiting significant alterations in their interaction patterns during tumorigenesis are crucial. To this end, we have described differential protein-protein interactions and differentially interacting proteins (DIPs) in ESCC by utilizing the human protein interactome and transcriptome. Furthermore, DIP-centered modules were analyzed according to their potential in elucidation of disease mechanisms and improvement of efficient diagnostic, prognostic, and treatment strategies. Seven modules were presented as potential diagnostic, and 16 modules were presented as potential prognostic biomarker candidates. Importantly, our findings also suggest that 30 out of the 53 repurposed drugs were noncancer drugs, which could be used in the treatment of ESCC. Interestingly, 25 of these, proposed as novel drug candidates here, have not been previously associated in a context of esophageal cancer. In this context, risperidone and clozapine were validated for their growth inhibitory potential in three ESCC lines. Our findings offer a high potential for the development of innovative diagnostic, prognostic, and therapeutic strategies for further experimental studies in line with predictive diagnostics, targeted prevention, and personalization of medical services in ESCC specifically, and personalized cancer care broadly.

Identifiants

pubmed: 34297901
doi: 10.1089/omi.2021.0085
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

495-512

Auteurs

Gizem Gulfidan (G)

Department of Bioengineering, Marmara University, Istanbul, Turkey.

Hande Beklen (H)

Department of Bioengineering, Marmara University, Istanbul, Turkey.

Indu Sinha (I)

Department of Biochemistry and Molecular Biology, Penn State College of Medicine, Hershey, Pennsylvania, USA.

Fulya Kucukalp (F)

Department of Bioengineering, Marmara University, Istanbul, Turkey.

Buse Caloglu (B)

Department of Bioengineering, Marmara University, Istanbul, Turkey.

Ipek Esen (I)

Department of Bioengineering, Marmara University, Istanbul, Turkey.

Beste Turanli (B)

Department of Bioengineering, Marmara University, Istanbul, Turkey.

Dilara Ayyildiz (D)

Department of Bioengineering, Marmara University, Istanbul, Turkey.
Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.

Kazim Yalcin Arga (KY)

Department of Bioengineering, Marmara University, Istanbul, Turkey.

Raghu Sinha (R)

Department of Biochemistry and Molecular Biology, Penn State College of Medicine, Hershey, Pennsylvania, USA.

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Classifications MeSH