JCAD-Derived from Plasma Exosomes: Promoting Tumor Cell Progression and Predicting Poor Outcomes in Breast Cancer

  • 0Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.

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Summary

This summary is machine-generated.

Exosomal JCAD shows promise as a biomarker for breast cancer prognosis. This study identified key genes in exosomes to predict patient outcomes, aiding in diagnosis and treatment strategies.

Area Of Science

  • Oncology
  • Molecular Biology
  • Biomarker Discovery

Background

  • Breast cancer is the most common cancer in women, with prognosis heavily dependent on disease stage.
  • Exosomes in liquid biopsy samples contain key genes that may serve as prognostic biomarkers.
  • Identifying reliable biomarkers is crucial for predicting breast cancer patient outcomes.

Purpose Of The Study

  • To identify and validate exosomal genes as prognostic biomarkers for breast cancer.
  • To develop a prognostic model for breast cancer using transcriptome sequencing data.
  • To investigate the role of JCAD in breast cancer progression.

Main Methods

  • Transcriptome sequencing of 128 breast cancer patient blood samples for training data.
  • LASSO regression analysis to screen prognostic genes and build a model.
  • Validation using an independent cohort of 131 patient samples and functional assays.

Main Results

  • Eleven differentially expressed genes correlated with breast cancer stage were identified.
  • A five-gene prognostic model demonstrated high predictive accuracy (AUC 0.858 for 1-year, 0.772 for 2-year).
  • Exosomal JCAD promotes breast cancer progression via the Wnt/β-catenin pathway by upregulating FZD1.

Conclusions

  • Exosomal JCAD is a significant prognostic marker for breast cancer.
  • The identified prognostic model shows potential for clinical application in diagnosis and treatment.
  • Targeting the JCAD-mediated pathway could offer new therapeutic strategies for breast cancer.

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