Computational biology and breast cancer

  • How does breast cancer relate to biology?

    When a cell divides, its DNA is copied precisely.
    But occasionally, a mistake can cause a genetic change known as a “mutation”.
    This may then be passed on to other cells, leading to abnormal cell growth.
    Over time mutations accumulate, and their combined effects lead to a malignant (cancerous) breast tumour..

  • How does technology help breast cancer?

    New technology can more precisely identify and target cancerous cells.
    Knowing where the cancerous cells are helps surgeons and radiation oncologists better remove and treat cancerous cells..

  • How is breast cancer related to biology?

    Breast cancer comprises multiple biological entities charac- terized by heterogeneity in pathology, genomic alterations, gene expression, and the tumor microenvironment (TME), which collectively influence clinical behavior and treatment response..

  • Bioinformatics also helps in identifying common biomarkers and differentially expressed genes in different cancer types which further improves the process of cancer diagnosis.
  • New technology can more precisely identify and target cancerous cells.
    Knowing where the cancerous cells are helps surgeons and radiation oncologists better remove and treat cancerous cells.
  • Predicting outcomes
    Being able to predict the onset and development of cancer enables better treatment through early and accurate diagnosis and personalized treatment.
    We use survival analyses and machine learning approaches with clinical and molecular data to predict patient-specific risks.
  • When a cell divides, its DNA is copied precisely.
    But occasionally, a mistake can cause a genetic change known as a “mutation”.
    This may then be passed on to other cells, leading to abnormal cell growth.
    Over time mutations accumulate, and their combined effects lead to a malignant (cancerous) breast tumour.
May 10, 2023Here, we perform a study in an independent cohort of early-stage and locally advanced breast cancer patients to forecast tumor response to NAT 
May 10, 2023Novel computational biology modeling system can accurately forecast response to neoadjuvant therapy in early breast cancer | Breast Cancer 

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