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Cancer-Critical Genes I: Proto-oncogenes01:33

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Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
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The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
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  2. Research Domains
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  4. Oncology And Carcinogenesis
  5. Predictive And Prognostic Markers
  6. Cuproptosis-related Genes Predict Prognosis And Trastuzumab Therapeutic Response In Her2-positive Breast Cancer

Cuproptosis-related genes predict prognosis and trastuzumab therapeutic response in HER2-positive breast cancer

Rui Sha1, Xinrui Dong2, Shanshan Yan3

  • 1Department of Thyroid and Breast Surgery, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), 2 Zheshan West Road, Wuhu, 241001, Anhui, China.

Scientific Reports
|February 5, 2024

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Looking for Driver Pathways of Acquired Resistance to Targeted Therapy: Drug Resistant Subclone Generation and Sensitivity Restoring by Gene Knock-down
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View abstract on PubMed

Summary
This summary is machine-generated.

This study developed a prognostic model for HER2-positive breast cancer using cuproptosis-related genes (CRGs). High DLAT expression indicates resistance to HER2-targeted therapy and immunotherapy, suggesting it as a therapeutic target.

Area of Science:

  • Oncology
  • Molecular Biology
  • Cancer Genetics

Background:

  • HER2-positive breast cancer is a major subtype requiring targeted therapies.
  • Cuproptosis, a copper-induced cell death, and its related genes (CRGs) roles in HER2-positive breast cancer are largely unexplored.
  • Understanding CRGs is crucial for developing novel therapeutic strategies.

Purpose of the Study:

  • To construct a prognostic prediction model for HER2-positive breast cancer using CRGs.
  • To investigate the role of DLAT in HER2-positive breast cancer resistance to HER2-targeted therapy and immunotherapy.
  • To analyze the molecular pathways associated with DLAT expression.

Main Methods:

  • Utilized TCGA database for prognostic model construction.
  • Analyzed GEO dataset for genes associated with resistance to HER2-targeted therapy.

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Looking for Driver Pathways of Acquired Resistance to Targeted Therapy: Drug Resistant Subclone Generation and Sensitivity Restoring by Gene Knock-down
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Looking for Driver Pathways of Acquired Resistance to Targeted Therapy: Drug Resistant Subclone Generation and Sensitivity Restoring by Gene Knock-down

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  • Performed KEGG, GO enrichment, and Gene Set Enrichment Analysis (GSEA).
  • Assessed immune landscape using CIBERSORT and TIDE algorithms.
  • Main Results:

    • A four-CRG signature prognostic model was developed; high CRGs risk score correlated with shorter overall survival (OS).
    • DLAT was downregulated and associated with better patient survival but indicated resistance to HER2-targeted therapy.
    • Silencing DLAT increased sensitivity to trastuzumab, and high DLAT expression correlated with immunotherapy resistance.

    Conclusions:

    • The study established a novel four-CRG prognostic model for HER2-positive breast cancer.
    • DLAT is identified as an independent prognostic factor, linked to resistance to HER2-targeted therapy and immunotherapy.
    • DLAT presents a potential therapeutic target for overcoming treatment resistance in HER2-positive breast cancer.