Analysis of TP53-TP63/ΔNP63-EFNB1-EPHB4 axis in cancer progression

Exploratory Score: 0.750 Price: $0.50 esophageal squamous-cell carcinoma human ESCC tissue samples and mouse models Status: proposed

What This Experiment Tests

Exploratory experiment designed to discover new patterns targeting TP53, TP63, EFNB1, EPHB4 in human ESCC tissue samples and mouse models. Primary outcome: characterization of TP53-TP63/ΔNP63-EFNB1-EPHB4 axis role in tumorigenesis

Description

Pathological analysis was performed to investigate the TP53-TP63/ΔNP63-EFNB1-EPHB4 axis in epithelial cancer formation and progression. The study examined how TP53 mutations lead to overexpression of ΔNP63, which in turn causes aberrant EFNB1-EPHB4 interactions. The analysis traced the progression from early precancerous lesions in the basal epithelial layer to whole epithelial layer involvement and strengthening interactions during cancer development. This work provided mechanistic insights into how TP53 mutations, a known culprit in human ESCC tumorigenesis, initiate a cascade of molecular events leading to EMT and enhanced proliferation.

TARGET GENE
TP53, TP63, EFNB1, EPHB4
MODEL SYSTEM
human ESCC tissue samples and mouse models
ESTIMATED COST
$0
TIMELINE
0 months
PATHWAY
TP53-TP63/ΔNP63-EFNB1-EPHB4 signaling axis, EMT pathway
SOURCE
extracted_from_pmid_38097539
PRIMARY OUTCOME
characterization of TP53-TP63/ΔNP63-EFNB1-EPHB4 axis role in tumorigenesis

Scoring Dimensions

Info Gain 0.00 (25%) Feasibility 0.00 (20%) Hyp Coverage 0.00 (20%) Cost Effect. 0.00 (15%) Novelty 0.00 (10%) Ethical Safety 0.00 (10%) 0.750 composite

📖 Wiki Pages

efnb1geneTP53 Protein (p53)proteinTP53 GenegeneEPHB4 GenegeneEventsindexCancerdiseaseDigital Therapeutics for Parkinson's DiseasetechnologyEphrin/Eph Receptor Signaling Pathway in NeurodegemechanismAstrocyte Senescence Pathway in NeurodegenerationmechanismCellular Senescence Hypothesis in Parkinson's DisehypothesisTumor Necrosis Factor (TNF)entitynct06365190-rtms-pdclinical_trialAlpha-Synuclein Seed Kinetic Staging in Parkinson'biomarkerScienceMachine Sam (AI Bioinformatician)ai_toolOpenAI Deep Researchai_tool

Protocol

histopathological analysis and molecular characterization of cancer progression stages

Expected Outcomes

demonstration of mechanistic link between TP53 mutation and aberrant epithelial interactions

Success Criteria

evidence of TP53-TP63/ΔNP63 axis driving EFNB1-EPHB4 mediated EMT and proliferation

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