Multi-omics profiling identifies ADAM9 as a key efferocytosis driver in lung adenocarcinoma - Scorecard - MDSpire

Multi-omics profiling identifies ADAM9 as a key efferocytosis driver in lung adenocarcinoma

  • By

  • Guofu Lin

  • Lanlan Lin

  • Jianming Zhao

  • Gongping Chen

  • May 25, 2026

  • 0 min

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Clinical Scorecard: Comprehensive omics analysis reveals ADAM9 as a crucial mediator of efferocytosis in lung adenocarcinoma

At a Glance

CategoryDetail
Condition
Key MechanismsEfferocytosis-related genes (ERGs), specifically ADAM9, play a role in tumor progression and immune modulation, highlighting its dual role in both promoting and evading immune responses.
Target Population
Care Setting

Key Highlights

  • ADAM9 expression correlates with immunosuppressive microenvironments in LUAD.
  • A prognostic model based on ADAM9 and ERG signatures stratifies patients into high- and low-risk groups, demonstrating robust predictive accuracy.
  • High ADAM9 expression is linked to increased M2 macrophage infiltration.
  • ADAM9 regulates efferocytosis and polarization in M2 macrophages, impacting tumor cell proliferation.
  • The IL-6/STAT3 signaling pathway is involved in the effects of ADAM9 on tumor progression.

Guideline-Based Recommendations

Diagnosis

  • Utilize TCGA-LUAD datasets for comprehensive genomic and transcriptomic analysis.

Management

  • Consider ADAM9 as a potential therapeutic target in precision medicine strategies for LUAD.
  • Utilize single-cell sequencing to analyze tumor microenvironment interactions.

Monitoring & Follow-up

  • Monitor ADAM9 expression levels as a prognostic indicator of survival outcomes.

Risks

  • High ADAM9 expression may correlate with poorer prognosis due to immunosuppressive effects.

Patient & Prescribing Data

516 LUAD patients with comprehensive clinical information.

ADAM9-driven efferocytosis may inform personalized treatment strategies by identifying patient-specific immune responses.

Clinical Best Practices

  • Incorporate ERG signatures into prognostic models for LUAD.
  • Utilize single-cell sequencing to analyze tumor microenvironment interactions.
  • Monitor ADAM9 expression levels as a prognostic indicator of survival outcomes.

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