Discover Oncology· 2026Q2
Entegre bir hesaplamalı ve in vitro çerçeve, mide adenokarsinomunda DEHP'ye duyarlı adaylar olarak CTSB ve MMP7'yi tanımlıyor
An integrated computational and in vitro framework identifies CTSB and MMP7 as DEHP-responsive candidates in gastric adenocarcinoma
- 0atıf
- Q2SCImago
- 2026yıl
Kısa özet
CTSB ve MMP7, DEHP'ye duyarlı adaylar olarak mide adenokarsinom hücrelerinde tanımlandı; DEHP maruziyetinden sonra mRNA ve protein ekspresyonlarında artış gösterdiler.
Yapay zekâ ile başlık ve abstract'tan üretildi; tam metin okunmaz.
Ana noktalar
- CTSB ve MMP7, entegre bir hesaplamalı ve in vitro yaklaşımla mide adenokarsinomunda DEHP'ye duyarlı aday genler olarak tanımlandı.
- Bir Gauss naif Bayes modeli, DEHP yanıtını tahmin etmek için harici bir test kohortunda 0.866 AUC elde etti.
- MKN-45 hücreleri ile yapılan in vitro deneyler, DEHP maruziyetinden sonra CTSB ve MMP7 mRNA ve protein ekspresyonunda artış gösterdi.
- Moleküler yerleştirme ve simülasyonlar, aday genlerin DEHP ile olası etkileşim modlarını destekledi.
Yapay zekâ ile başlık ve abstract'tan üretildi; tam metin okunmaz.
Özet (abstract)
Di(2-ethylhexyl) phthalate (DEHP) is a widespread endocrine-disrupting chemical, but its molecular effects in gastric adenocarcinoma remain incompletely understood. This study integrated network toxicology, multi-cohort transcriptomics, weighted gene co-expression network analysis, protein–protein interaction analysis, functional enrichment, machine learning, SHAP interpretation, molecular docking, molecular dynamics simulation, single-cell analysis and in vitro evaluation. Three GEO datasets comprising 252 samples were used for transcriptomic discovery and model development, three independent datasets comprising 317 samples were used for model selection, and GSE66229 comprising 400 samples was retained as a locked external test cohort. MKN-45 cells were exposed to vehicle, 100 or 200 µM DEHP for 24 h and evaluated using CCK-8, RT–qPCR and western blotting. Differential expression analysis identified 541 significant genes, and WGCNA prioritised 172 tumour-associated genes. Intersection with 189 predicted DEHP-related targets yielded seven candidate genes: BCL2A1, CCR1, CTSB, CTSK, MMP7, MMP9 and PDE4B. Among 127 prespecified machine-learning configurations, Gaussian naive Bayes achieved a development cross-validation AUC of 0.873 and a model-selection macro-average AUC of 0.853. In the locked GSE66229 cohort, the frozen model retained favourable discrimination, with an AUC of 0.866 (95% CI 0.828–0.899), although probability calibration and threshold transport were limited. CTSB showed the highest locked single-gene AUC of 0.906, whereas SHAP analysis ranked PDE4B, CTSK and CTSB as the leading contributors to multigene predictions. Molecular docking and 50-ns molecular dynamics simulations indicated structurally plausible interaction modes, while single-cell mapping placed the candidate genes in distinct tumour-microenvironment compartments. In MKN-45 cells, CCK-8 analysis showed a descriptive decrease in normalized viability under the tested exposure conditions, while RT-qPCR and western blotting showed increased CTSB and MMP7 expression at both the mRNA and protein levels; PDE4B remained unchanged. These findings support CTSB and MMP7 as preliminary DEHP-responsive candidates in an MKN-45 gastric adenocarcinoma cell model under high-dose, short-term in vitro exposure conditions.
Yazarların özeti; kaynağından alınmıştır. Discover Oncology, 2026 · DOI ↗
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