p egfr (Cell Signaling Technology Inc)
Structured Review

P Egfr, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 94/100, based on 339 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/mouse+anti+phospho+egfr/Phospho-EGF+Receptor+(Tyr1068)+Mouse+mAb/pmc12961825-120-22-24
Average 94 stars, based on 339 article reviews
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1) Product Images from "Integrin αvβ3-dependent pathogenic effect and therapeutic effects of DL-N2 combined with EGFR inhibitors in pancreatic adenocarcinoma"
Article Title: Integrin αvβ3-dependent pathogenic effect and therapeutic effects of DL-N2 combined with EGFR inhibitors in pancreatic adenocarcinoma
Journal: Journal of Translational Medicine
doi: 10.1186/s12967-026-07865-0
Figure Legend Snippet: Pathway enrichment analysis of ITGAV-associated genes reveals EMT, ECM remodeling, and EGFR-linked signaling. Bar plot shows the top 10 enriched biological pathways associated with ITGAV expression in TCGA-PAAD. Significance is represented as -log(p-value) on the x-axis. ITGAV-associated genes are enriched in pathways related to epithelial-to-mesenchymal transition (EMT), extracellular matrix (ECM) remodeling, and TGF-β-mediated fibroblast migration, processes central to tumor invasion and fibrosis. Several pathways, including tumor–stroma interactions, stellate cell activation, and cytoskeleton remodeling, overlap with EGFR signaling cascades, suggesting cooperative roles of ITGAV and EGFR in promoting pancreatic cancer progression
Techniques Used: Expressing, Migration, Activation Assay
Figure Legend Snippet: Protein–protein interaction network and correlation of ITGAV and ITGB3 with EGFR expression.( A ) Protein–protein interaction (PPI) network of ITGAV and ITGB3 and their associated genes, generated using the STRING database. The network illustrates key predicted interactions involved in cell adhesion, migration, and epithelial–mesenchymal transition (EMT). Table listing interaction scores between ITGAV/ITGB3 and selected partner genes, highlighting strong associations with EGFR (interaction score > 0.6 for both). ( B–C ) Correlation analysis using GEPIA shows a significant positive correlation between EGFR expression and ITGAV ( B ) as well as EGFR and ITGB3 ( C ) in PAAD samples. Spearman correlation coefficients and p-values are indicated, supporting a functional association between integrin αvβ3 subunits and EGFR signaling in pancreatic cancer
Techniques Used: Expressing, Generated, Migration, Functional Assay
Figure Legend Snippet: DL-N2 regulates gene expression and enhances gefitinib-induced inhibition in pancreatic cancer cells. ( A–D ) BxPC-3 and ( E - H ) AsPC-1 cells treated with DL-N2 (10⁻⁹–10⁻⁷ M), gefitinib (10 µM), or their combinations on pancreatic cancer cells. Quantitative real-time PCR analysis of EGFR ( A and E ), PD-L1 ( B and F ), CCND1 ( C and G ), and PCNA ( D and H ) expression. DL-N2 decreased the expression of proliferation- and immune-related genes, with maximal inhibition observed in combination with gefitinib. Data are presented as mean ± SD of four independent experiments ( N = 4). * p < 0.05, ** p < 0.01, *** p < 0.001 vs. control; # p < 0.05, ## p < 0.01, ### p < 0.001 vs. gefitinib alone
Techniques Used: Gene Expression, Inhibition, Real-time Polymerase Chain Reaction, Expressing, Control
Figure Legend Snippet: DL-N2 and gefitinib cooperatively suppress EGFR activation and downstream signaling in pancreatic cancer cells. ( A - B ) Western blot and densitometric analyses show the effects of DL-N2 (10⁻⁹–10⁻⁷ M) and gefitinib (10 µM) on EGFR-related signaling in BxPC-3 cellsTreatment with DL-N2 alone modestly reduced pEGFR and PD-L1 expression, whereas co-treatment with gefitinib further decreased pEGFR and PD-L1 levels compared with either agent alone. Total EGFR remained largely unchanged. Analysis of STAT3 signaling shows that DL-N2 alone transiently increased pSTAT3-Tyr705, while combination treatment with gefitinib suppressed pERK1/2 activation without markedly altering total STAT3 expression. Data are presented as mean ± SD of four independent experiments. * p < 0.05, ** p < 0.01, *** p < 0.001 versus untreated control
Techniques Used: Activation Assay, Western Blot, Expressing, Control
Figure Legend Snippet: Pathway enrichment analysis of ITGB3-associated genes highlights EMT, fibroblast activation, and EGFR pathway crosstalk. Bar plot shows the top 10 enriched biological pathways associated with ITGB3 expression in TCGA-PAAD. Significance is represented as -log(p-value) on the x-axis. ITGB3-associated genes are enriched in EMT, ECM remodeling, and TGF-β-driven fibroblast migration pathways that contribute to desmoplasia and metastasis. Enriched pathways related to stellate cell activation, cytoskeleton reorganization, and tumor–stroma signaling also align with EGFR-linked oncogenic processes, indicating integrin–EGFR pathway synergy within the pancreatic tumor microenvironment
Techniques Used: Activation Assay, Expressing, Migration
Figure Legend Snippet: Conclusion summarizing the role of integrin αvβ3 and therapeutic potential of DL-N2 in pancreatic cancer. Schematic diagram depicting how integrin αvβ3 cooperates with EGFR and downstream signaling cascades to promote tumor progression. Integrin αvβ3 facilitates EGF-mediated activation of the FAK–Src–Ras–ERK and PI3K–AKT pathways, driving proliferation, survival, migration, and immune evasion through EMT regulators (SNAI1, ZEB1), transcriptional control of PD-L1, and extracellular matrix remodeling factors (MMP2, MMP9, FN1, CD44). Crosstalk with TGF-β/SMAD2/3 further may may enhances invasion and drug resistance. DL-N2, a tetrac derivative, disrupts integrin αvβ3 signaling, reduces ERK activation, restores chemosensitivity, and suppresses PD-L1 expression. In combination with gefitinib or as DL-N2–doxorubicin (DL-N2-Dox), the compound may may enhances. DNA damage responses, increases ROS, and induces apoptosis while attenuating EMT, immune evasion, and tumor–stroma interactions. This integrative model highlights integrin αvβ3 as a therapeutic target and DL-N2 as a promising strategy for overcoming drug resistance in pancreatic cancer
Techniques Used: Activation Assay, Migration, Control, Expressing
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