From proteome-wide Mendelian randomization and multi-omics integration to functional validation: TGFB3 as a prioritized candidate in gastric adenocarcinoma - Scorecard - MDSpire

From proteome-wide Mendelian randomization and multi-omics integration to functional validation: TGFB3 as a prioritized candidate in gastric adenocarcinoma

  • By

  • Luming Zhao

  • Chenxi Mao

  • Yimeng Xu

  • Kangjie Zhou

  • Mingtong Liang

  • Yiqian Han

  • Jingzhou Zhang

  • Yidong Hong

  • Nan Hu

  • Fenglei Wu

  • July 6, 2026

  • 0 min

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Clinical Scorecard: Integrating Multi-Omics and Mendelian Randomization to Identify TGFB3 as a Key Candidate in Gastric Adenocarcinoma

At a Glance

CategoryDetail
ConditionGastric Adenocarcinoma
Key MechanismsAlterations in epithelial growth, stromal remodeling, angiogenesis, immune regulation, and extracellular matrix organization.
Target PopulationPatients with gastric adenocarcinoma.
Care SettingClinical oncology and molecular profiling.

Key Highlights

  • Identified 29 circulating proteins with potential causal effects on gastric cancer.
  • TGFB3 was prioritized as a key target based on genetic and spatial analysis.
  • An eight-gene ANN classifier improved diagnostic performance for gastric cancer.
  • Proflavine hemisulfate attenuated TGFB3-driven proliferation and signaling in AGS cells.

Guideline-Based Recommendations

Diagnosis

  • Utilize molecular profiling to classify gastric adenocarcinoma into distinct subtypes.

Management

  • Curative-intent treatment for localized disease includes gastrectomy and perioperative chemotherapy.

Monitoring & Follow-up

  • Monitor circulating biomarkers to assess disease risk and treatment response.

Risks

  • Delayed diagnosis and biological heterogeneity contribute to high mortality.

Patient & Prescribing Data

Patients with localized or advanced gastric adenocarcinoma.

Molecularly stratified treatments include HER2-directed therapy and immune checkpoint blockade.

Clinical Best Practices

  • Integrate proteome-wide MR analyses to identify potential biomarkers.
  • Focus on genetically supported protein candidates for therapeutic strategies.

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