Single-cell RNA sequencing and immune microenvironment analysis reveal PLOD2-driven malignant transformation in cervical cancer

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 7, 2025

Cervical cancer is the fourth most common in women globally, and main cause of disease has been found to be ongoing HPV infection. remains primary cancer-related death despite major improvements screening treatment approaches, especially low- middle-income nations. Therefore, it crucial investigate tumor microenvironment advanced cervical order identify possible targets. In better understand malignant epithelial cells (EPCs), this study used bulk RNA-seq data from UCSC conjunction with single-cell RNA sequencing ArrayExpress database. After putting quality control procedures into place, cell type identification clustering analysis using Seurat software were carried out. To clarify functional pathways, enrichment differential gene expression The CIBERSORT ESTIMATE R packages evaluate immune characteristics, univariate multivariate Cox regression analyses extract prognostic features. Furthermore, assessments drug sensitivity Eight types identified, EPCs showing high proliferative stemness Five EPC subpopulations defined, C1 NNMT+ CAEPCs driving differentiation. A NNMT Risk Score (NCRS) model was developed, revealing a correlation between elevated NCRS scores adverse patient outcomes characterized by evasion. vitro experiments validated that PLOD2 significantly enhances proliferation, migration, invasion cells. This investigation delineated eight five cancer, establishing as therapeutic target. demonstrated its capability, indicating higher are associated poorer clinical outcomes. validation highlights potential, underscoring critical need for integrating immunotherapy targeted strategies enhance diagnostic approaches cancer.

Language: Английский

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MAZ-mediated tumor progression and immune evasion in hormone receptor-positive breast cancer: Targeting tumor microenvironment and PCLAF+ subtype-specific therapy

Translational Oncology, Journal Year: 2025, Volume and Issue: 52, P. 102280 - 102280

Published: Jan. 13, 2025

Language: Английский

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Fabrication and Characterization of Electrospun DegraPol® Tubes Releasing TIMP-1 Protein to Modulate Tendon Healing

Materials, Journal Year: 2025, Volume and Issue: 18(3), P. 665 - 665

Published: Feb. 3, 2025

Background: Tendon rupture repair can result from fibrotic scar formation through imbalanced ECM deposition during remodeling. The tissue inhibitors of matrix metalloprotease (TIMPs) not only decrease degradation, regulated by metalloproteases (MMPs), but also restrict TGF-β1 activation and thus diminish fibrosis. Methods: Rabbit tenocytes (rbTenocytes) rabbit adipose-derived stem cells (rbASCs) were cultivated under different TIMP-1 concentrations. Proliferation gene expression assessed. was incorporated into emulsion electrospun DegraPol® (DP) tubes that characterized SEM for fiber thickness, pore size, wall thickness. Static dynamic water contact angles, FTIR spectra, release kinetics determined. Results: While the proliferation rbTenocytes rbACS affected supplementation in vitro, Col1A1 increased rbTenocytes, ki67 both cell types, tenomodulin types at 100 ng/mL TIMP-1, alkaline phosphatase ALP rose significantly rbASCs. Electrospun TIMP-1/DP fibers had a ~5 μm diameter, ~10 mesh thickness ~200 μm. meshes more hydrophilic than pure DP meshes. released with sustained up to 7 days. Conclusions: may be used modulate reaction when applied around conventionally sutured tendon ruptures.

Language: Английский

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Multi-Omics Profiling Reveals Glycerolipid Metabolism-Associated Molecular Subtypes and Identifies ALDH2 as a Prognostic Biomarker in Pancreatic Cancer

Metabolites, Journal Year: 2025, Volume and Issue: 15(3), P. 207 - 207

Published: March 18, 2025

Background: The reprogramming of lipid metabolism, especially glycerolipid metabolism (GLM), plays a key role in cancer progression and response to therapy. However, the molecular characterization GLM pancreatic (PC) remain unclear. Methods: A pan-cancer analysis metabolism-related genes (GMRGs) was first conducted assess copy-number variants, single-nucleotide variations, methylation, mRNA expression. Subsequently, PC characterized using lipidomics, single-cell RNA sequencing (scRNA-seq), spatial transcriptomic analysis. cluster based on bulk data from 930 samples identified GLM-associated subtypes, which were then analyzed for differences prognosis, biological function, immune microenvironment, drug sensitivity. To prioritize prognostically relevant GMRGs PC, we employed random forest (RF) algorithm rank their importance across samples. Finally, biomarker validated PCR immunohistochemistry. Results: Pan-cancer features cancers, while scRNA-seq, transcriptomics, lipidomics highlighted heterogeneity PC. Two subtypes with significant prognostic, biofunctional, microenvironmental, sensitivity ALDH2 as novel prognostic large number datasets clinical Conclusions: This study highlights crucial defines new subtype biomarker. These findings establish avenue studying prediction precision medicine patients.

Language: Английский

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Mapping molecular landscapes in triple-negative breast cancer: insights from spatial transcriptomics

Naunyn-Schmiedeberg s Archives of Pharmacology, Journal Year: 2025, Volume and Issue: unknown

Published: March 22, 2025

Language: Английский

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