The MET Oncogene Network of Interacting Cell Surface Proteins DOI Open Access
Simona Gallo,

Consolata Beatrice Folco,

Tiziana Crepaldi

и другие.

International Journal of Molecular Sciences, Год журнала: 2024, Номер 25(24), С. 13692 - 13692

Опубликована: Дек. 21, 2024

The MET oncogene, encoding the hepatocyte growth factor (HGF) receptor, plays a key role in tumorigenesis, invasion, and resistance to therapy, yet its full biological functions activation mechanisms remain incompletely understood. A feature of is extensive interaction network, encompassing following: (i) receptor tyrosine kinases (RTKs); (ii) co-receptors (e.g., CDCP1, Neuropilin1); (iii) adhesion molecules integrins, tetraspanins); (iv) proteases ADAM10); (v) other receptors CD44, plexins, GPCRs, NMDAR). These interactions dynamically modulate MET’s activation, signaling, intracellular trafficking, degradation, enhancing functional versatility oncogenic potential. This review offers current knowledge on partnerships, focusing their impact signaling output, therapeutic resistance, cellular behavior. Finally, we evaluate emerging combination therapies targeting interactors, highlighting potential overcome improve clinical outcomes. By exploring complex interplay within network interacting cell surface proteins, this provides insights into advancing anti-cancer strategies understanding broader implications RTK crosstalk oncology.

Язык: Английский

Proteomic Profiling in Colorectal Cancer: Identifying Druggable Biomarkers for Personalized Therapy DOI Open Access
Abdülkadir Elmas

Karadeniz Fen Bilimleri Dergisi, Год журнала: 2025, Номер 15(1), С. 519 - 535

Опубликована: Март 15, 2025

Colorectal cancer (CRC) remains a major global health challenge, with limited treatment options for advanced-stage patients. While genomic and transcriptomic analyses aid in target identification, proteomic alterations offer more direct link to tumor biology therapeutic opportunities. In this study, we analyzed mass spectrometry-based proteomics data from 102 primary CRC patients, including matched normal tissues, systematically identify overexpressed, druggable targets, particular focus on the patient kinome. Using OPPTI approach, discovered 31 kinases notable overexpression, 16 currently targetable by existing drugs, such as FGR, EPHA2, PBK. Furthermore, revealed 884 overexpressed non-kinase proteins, 253 of which are druggable, ERAP2, FLG, MT1H. Differential expression analysis identified 165 dysregulated 3,903 MET STK3 emerging potential candidates due their substantial upregulation. Integrating differential overexpression analyses, highlighted cohort EPHA2 MET, whose inhibition has shown promising preclinical efficacy. This comprehensive study provides resource novel discovery CRC, offering framework personalized interventions through identification clinically actionable protein-level alterations.

Язык: Английский

Процитировано

0

The MET Oncogene Network of Interacting Cell Surface Proteins DOI Open Access
Simona Gallo,

Consolata Beatrice Folco,

Tiziana Crepaldi

и другие.

International Journal of Molecular Sciences, Год журнала: 2024, Номер 25(24), С. 13692 - 13692

Опубликована: Дек. 21, 2024

The MET oncogene, encoding the hepatocyte growth factor (HGF) receptor, plays a key role in tumorigenesis, invasion, and resistance to therapy, yet its full biological functions activation mechanisms remain incompletely understood. A feature of is extensive interaction network, encompassing following: (i) receptor tyrosine kinases (RTKs); (ii) co-receptors (e.g., CDCP1, Neuropilin1); (iii) adhesion molecules integrins, tetraspanins); (iv) proteases ADAM10); (v) other receptors CD44, plexins, GPCRs, NMDAR). These interactions dynamically modulate MET’s activation, signaling, intracellular trafficking, degradation, enhancing functional versatility oncogenic potential. This review offers current knowledge on partnerships, focusing their impact signaling output, therapeutic resistance, cellular behavior. Finally, we evaluate emerging combination therapies targeting interactors, highlighting potential overcome improve clinical outcomes. By exploring complex interplay within network interacting cell surface proteins, this provides insights into advancing anti-cancer strategies understanding broader implications RTK crosstalk oncology.

Язык: Английский

Процитировано

0