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Pharmacogenomics: Identification of New Drug Targets

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Identification of the disulfidptosis-related key gene CD2AP as a potential biomarker and new therapeutic target for

Zhiwu Lin1, Jing Lv2, Chuanqiang Dai2

  • 1Department of Thoracic Surgery, Ziyang Central Hospital, Ziyang, 641300, China.

Discover Oncology
|April 11, 2025
PubMed
Summary

CD2AP is overexpressed in lung adenocarcinoma (LUAD), correlating with poor prognosis and influencing immune escape and drug resistance. This suggests CD2AP as a potential biomarker and therapeutic target for LUAD treatment.

Keywords:
CD2APDisulfidptosisDrug sensitivityLUADMulti-omicsProgrammed cell deathTherapeutic target

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Area of Science:

  • Oncology
  • Molecular Biology
  • Cell Death Mechanisms

Background:

  • Lung Adenocarcinoma (LUAD) presents a poor prognosis despite therapeutic advancements.
  • Disulfidptosis, a novel cell death pathway, and its regulators like CD2AP (CD2-associated protein) are implicated in tumor progression.

Purpose of the Study:

  • To investigate the role of CD2AP in LUAD.
  • To evaluate CD2AP as a potential biomarker for prognosis and therapeutic target in LUAD.

Main Methods:

  • Multi-omics analysis including transcriptomics and spatial transcriptomics on LUAD datasets (TCGA, GEO).
  • Kaplan-Meier survival analysis, enrichment analysis, and immune infiltration assays.
  • Assessment of CD2AP association with tumor microenvironment and drug sensitivity.

Main Results:

  • CD2AP is significantly overexpressed in LUAD, associated with poorer overall and progression-free survival.
  • High CD2AP expression correlates with cell adhesion, PI3K-Akt signaling, immune escape, and altered tumor immune microenvironment.
  • CD2AP expression predicts sensitivity to certain chemotherapeutics and resistance to targeted therapies.

Conclusions:

  • CD2AP plays a critical role in LUAD progression, immune modulation, and drug response.
  • CD2AP serves as a potential prognostic biomarker and therapeutic target for LUAD, particularly for immunotherapy and predicting drug response.