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Article

Molecular and System-Level Characterization of MMP12 Suppression in Lung Cancer: A Combined Bioinformatics and Molecular Approach

1
Department of Pharmaceutical Sciences, School of Pharmacy, The University of Jordan, Amman 11942, Jordan
2
Department of Pharmacy, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman 11733, Jordan
3
Laboratory for Molecular Modeling, Division of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
4
Department of Chemistry, The University of Jordan, Amman 11942, Jordan
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2025, 26(24), 11802; https://doi.org/10.3390/ijms262411802 (registering DOI)
Submission received: 12 November 2025 / Revised: 1 December 2025 / Accepted: 3 December 2025 / Published: 6 December 2025

Abstract

Lung cancer remains a major cause of cancer-related death, highlighting the need for new molecular targets and novel therapeutics. Matrix metalloproteinases are key regulators of invasion and microenvironment remodeling, and among them, matrix metalloproteinase-12 (MMP12) is a particularly attractive candidate whose network-level effects in cancer are still poorly defined. Herein, we applied an integrative strategy that combines bioinformatics methods with experimental validation in non-small cell lung cancer (NSCLC) cells. Protein–protein interaction (PPI) and pathway analyses of MMP12-regulated genes identified 113 downstream targets enriched in the extracellular matrix, PI3K–AKT, and immune pathways, from which an eight-gene panel (MMP12, CD44, ADAM9, NFKBIA, PSME3, SPARCL1, CCL15, and APOA1) was prioritized as a biomarker signature. Guided by these predictions, we screened a 31-compound MMP12 inhibitor library and selected five leads (C1, C7, C9, C10, and C15) for testing in H1299 cells, with C9 showing the strongest antiproliferative activity. These compounds showed antimigratory activity (C1 achieving a 90% inhibition of wound closure at its IC50 concentration), reduced clonogenic growth, cell cycle perturbation, and induction of apoptosis. Gene- and protein-expression analyses confirmed MMP12 suppression and modulation of the eight-gene panel. Upstream regulator predictions implicated reduced AKT signaling alongside an ADAM9-centered adaptive axis. Collectively, these findings highlight C1, C7, C9, C10, and C15 as promising MMP12 inhibitors, supporting their further development in preclinical lung cancer and nominating the eight-gene panel as a pharmacodynamic signature for MMP12-targeted therapies.
Keywords: apoptosis; bioinformatics; cell cycle arrest; computational chemical biology; lung cancer; metastasis; migration; MMP12 inhibition; signaling pathways apoptosis; bioinformatics; cell cycle arrest; computational chemical biology; lung cancer; metastasis; migration; MMP12 inhibition; signaling pathways

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MDPI and ACS Style

Almutairi, S.; Hajjo, R.; Sabbah, D.A.; Sweidan, K.; Rashid, Z.A.; Bardaweel, S.K. Molecular and System-Level Characterization of MMP12 Suppression in Lung Cancer: A Combined Bioinformatics and Molecular Approach. Int. J. Mol. Sci. 2025, 26, 11802. https://doi.org/10.3390/ijms262411802

AMA Style

Almutairi S, Hajjo R, Sabbah DA, Sweidan K, Rashid ZA, Bardaweel SK. Molecular and System-Level Characterization of MMP12 Suppression in Lung Cancer: A Combined Bioinformatics and Molecular Approach. International Journal of Molecular Sciences. 2025; 26(24):11802. https://doi.org/10.3390/ijms262411802

Chicago/Turabian Style

Almutairi, Shriefa, Rima Hajjo, Dima A. Sabbah, Kamal Sweidan, Zainab Ahmed Rashid, and Sanaa K. Bardaweel. 2025. "Molecular and System-Level Characterization of MMP12 Suppression in Lung Cancer: A Combined Bioinformatics and Molecular Approach" International Journal of Molecular Sciences 26, no. 24: 11802. https://doi.org/10.3390/ijms262411802

APA Style

Almutairi, S., Hajjo, R., Sabbah, D. A., Sweidan, K., Rashid, Z. A., & Bardaweel, S. K. (2025). Molecular and System-Level Characterization of MMP12 Suppression in Lung Cancer: A Combined Bioinformatics and Molecular Approach. International Journal of Molecular Sciences, 26(24), 11802. https://doi.org/10.3390/ijms262411802

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