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Related Experiment Video

Updated: Jul 1, 2026

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres
06:52

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Published on: July 22, 2020

Identification of Hub Genes, Single-Nucleotide Polymorphisms, and Potential Drug Targets In Breast Cancer Using

Xiaobo Jia1, Hui Su2, Jiaxin Zhang3

  • 1Department of Thyroid and Breast Surgery, The Affiliated Hospital of Xuzhou Medical University; x98013112@gmail.com.

Journal of Visualized Experiments : Jove
|June 29, 2026
PubMed
Summary
This summary is machine-generated.

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Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...

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MTHFD2 and PRDX3 genes are key regulators of mitochondrial oxidative stress in HER2-positive breast cancer, impacting drug resistance. Deleterious variants in these genes may alter redox balance and affect treatment outcomes.

Area of Science:

  • Biochemistry
  • Genetics
  • Oncology

Background:

  • HER2-positive breast cancer often develops resistance to therapies like Lapatinib.
  • Mitochondrial metabolic and redox reprogramming may play a role in this resistance.
  • Identifying biomarkers for resistance is crucial for improving treatment strategies.

Purpose of the Study:

  • To identify mitochondrial oxidative stress-related differentially expressed genes (MOS-DEGs) as potential biomarkers for therapeutic resistance in HER2-positive breast cancer.
  • To characterize the functional impacts of non-synonymous single nucleotide polymorphisms (nsSNPs) in these MOS-DEGs.
  • To investigate the structural and functional consequences of identified nsSNPs on protein activity.

Main Methods:

  • RNA-sequencing data analysis (GSE231524, GSE231525) using DESeq2 to identify DEGs.

Related Experiment Videos

Last Updated: Jul 1, 2026

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres
06:52

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Published on: July 22, 2020

  • Intersection of DEGs with mitochondrial oxidative stress genes to identify MOS-DEGs.
  • Functional enrichment, protein-protein interaction (PPI), Receiver Operating Characteristic (ROC) analysis, expression profiling, and survival analysis.
  • In silico evaluation of nsSNPs using multiple predictive tools and structural modeling (secondary and 3D) with molecular dynamics simulations.
  • Main Results:

    • MTHFD2 and PRDX3 were identified as central MOS-DEGs with opposing roles in mitochondrial redox metabolism.
    • MTHFD2 was significantly upregulated and associated with poor prognosis (HR = 1.53, p = 1.1 × 10⁻¹⁶), while PRDX3 showed protective expression (HR = 0.73, p = 7.7×10⁻¹⁰).
    • Five deleterious nsSNPs in MTHFD2 (e.g., rs1471336772) and four in PRDX3 (e.g., rs747786383) were identified, predicted to be damaging and potentially impair protein function and structural stability.

    Conclusions:

    • MTHFD2 and PRDX3 are key regulators of mitochondrial oxidative stress in HER2-positive breast cancer, influencing therapeutic resistance.
    • Deleterious nsSNPs in MTHFD2 and PRDX3 may contribute to altered redox balance, impacting metabolic adaptation and antioxidant defense.
    • These genes and their variants hold potential as biomarkers for predicting therapeutic response and understanding resistance mechanisms.