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Related Concept Videos

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  3. Biomedical And Clinical Sciences
  4. Oncology And Carcinogenesis
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  6. Analysis Of Differentially Expressed Proteins In Lymph Fluids Related To Lymphatic Metastasis In A Breast Cancer Rabbit Model Guided By Contrast‑enhanced Ultrasound.
  1. Home
  2. Research Domains
  3. Biomedical And Clinical Sciences
  4. Oncology And Carcinogenesis
  5. Predictive And Prognostic Markers
  6. Analysis Of Differentially Expressed Proteins In Lymph Fluids Related To Lymphatic Metastasis In A Breast Cancer Rabbit Model Guided By Contrast‑enhanced Ultrasound.

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Analysis of differentially expressed proteins in lymph fluids related to lymphatic metastasis in a breast cancer rabbit model guided by contrast‑enhanced ultrasound.

Jiachao Xu1,2, Xin Zhang1,2, Guangfei Yang2

  • 1School of Clinical Medicine, Ningxia Medical University, Yinchuan, Ningxia 750004, P.R. China.

Oncology Letters
|February 22, 2024

View abstract on PubMed

Summary
This summary is machine-generated.
Keywords:
breast cancercontrast-enhanced ultrasonographydifferentially expressed proteinlymph node metastasis

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Researchers identified 547 differentially expressed proteins in rabbit lymph fluid during breast cancer metastasis. These proteins, involved in various pathways, show potential as predictive indicators and therapeutic targets for breast cancer.

Area of Science:

  • Proteomics
  • Oncology
  • Biochemistry

Background:

  • Breast cancer metastasis involves changes in lymph fluid composition.
  • Identifying specific protein alterations in lymph can provide insights into metastasis.
  • Lymphatic involvement is a critical factor in breast cancer progression and prognosis.

Purpose of the Study:

  • To identify and analyze differentially expressed proteins in rabbit lymph fluid with breast cancer lymphatic metastasis.
  • To validate these proteins as potential biomarkers for breast cancer metastasis.
  • To explore novel therapeutic targets based on identified protein changes.

Main Methods:

  • Lymph fluid extraction guided by percutaneous contrast-enhanced ultrasound.
  • Label-free quantitative proteomics for differential protein expression analysis.
proteomics
  • Bioinformatics analysis (KEGG, GO) and parallel reaction monitoring for validation.
  • Main Results:

    • Identified 547 significantly differentially expressed proteins (371 upregulated, 176 downregulated).
    • Upregulated proteins include biliverdin reductase A and isocitrate dehydrogenase 2.
    • Downregulated proteins include pyridoxal kinase; others involved in immune, endocrine, and drug resistance regulation.

    Conclusions:

    • Differential protein expression in lymph fluid reflects breast cancer metastasis pathophysiology.
    • Identified proteins are potential predictive indicators for breast cancer metastasis.
    • These proteins represent promising targets for future therapeutic strategies.