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Sarica, S.

Publications and source records attributed to Sarica, S..

3 recordsLinked to original sources

Engineered Matrices Reveal Sulfation-Mediated Stress Adaptation and Drug-Specific Modulation of Chemotherapeutic Response

Engineering biomimetic extracellular matrices that isolate specific biochemical cues is essential for understanding how matrix chemistry regulates tumor cell behavior and therapeutic response. Aberrant sulfation due to proteoglycan expression is a hallmark of lung tumor matrices, yet its functional impact is difficult to study using conventional materials where mechanical and biochemical variables are coupled. To address this, mechanically matched sulfated alginate hydrogels are engineered to mimic the elevated sulfated glycosaminoglycan (sGAG) content of malignant ECM, enabling sulfation to be examined as a single, tunable variable. Within this system, ECM sulfation is shown to enhance tumor cell proliferation, promote oxidative and mitochondrial stress tolerance, suppress apoptotic signaling and attenuate the efficacy of cisplatin, gemcitabine and paclitaxel. Sulfated matrices preserve mitochondrial membrane potential, limit ROS accumulation, shift apoptotic gene expression toward a survival-favoring profile, selectively upregulate ABCB1-mediated efflux and modulate drug response through the PI3K/Akt-ABCB1 signaling axis. Functional inhibition of PI3K and ABCB1 uncovers drug-specific dependencies while dual pathway targeting completely restores chemotherapeutic sensitivity. These findings identify ECM sulfation as a potent regulator of stress adaptation and therapeutic efficacy in lung adenocarcinoma and underscore the importance of biomimetic ECM design in controlling tumor cell fate and drug response.

bioengineering↗

Extracellular Matrix-Guided Tumor Stratification and Network Models Reveal Clinical Molecular Grades

The extracellular matrix (ECM) critically shapes tumor fate and treatment outcome, serving as a potent prognostic factor. Yet, its compositional heterogeneity across tumors makes it difficult to assess its impact on tumor dynamics. To address this, we introduce an ECM-guided patient stratification pipeline through integration of multi-omic data in lung cancer patients. We obtained four patient groups, representing ECM-grades that showed distinct clinical features, mutation profiles, and cellular heterogeneity. Investigation of patient-specific ECM-induced intracellular signaling via network modeling revealed strong enrichment of pathways and transcriptional regulators related to epithelial-mesenchymal transition (EMT) and cancer stemness in higher ECM-grades. Drug proximity analysis on ECM-grade specific networks predicted olaparib as an ECM-grade dependent therapeutic while erlotinib to be ECM-insensitive which were validated experimentally on lung tumor cells with distinct mutational profiles in response to differing ECM microenvironments. Overall, our ECM-mediated stratification approach is a robust system for capturing ECM heterogeneity and identifying patient groups that can be selectively targeted by distinct therapeutic strategies.

systems biology↗

Extracellular matrix sulfation in the tumor microenvironment stimulates cancer stemness and invasiveness

Tumor extracellular matrices (ECM) exhibit aberrant changes in composition and mechanics compared to normal tissues. Proteoglycans (PG) are vital regulators of cellular signaling in the ECM with ability to modulate receptor tyrosine kinase (RTK) activation via their sulfated glycosaminoglycan (sGAG) side chains. However, their role on tumor cell behavior is controversial. Here, we demonstrate that PGs are heavily expressed in lung adenocarcinoma patients in correlation with invasive phenotype and poor prognosis. We developed a bioengineered human lung tumor model which recapitulates the increase of sGAGs in tumors in an organotypic matrix with independent control of stiffness, viscoelasticity, ligand density and porosity. Our model reveals that increased sulfation stimulates extensive proliferation, epithelial-mesenchymal transition and stemness in cancer cells. We identified the FAK-PI3K-mTOR signaling axis as a mediator of sulfation-induced molecular changes in cells upon activation of a distinct set of RTKs within tumor-mimetic hydrogels. We demonstrate that the transcriptomic landscape of tumor cells in response to increased sulfation resembles native PG-rich patient tumors through employing integrative omics and network modeling approaches.

bioengineering↗