Stepping forward in personalizing breast cancer management Added value of diagnostic assets

Open Access
Authors
  • A.M. Moorman
Supervisors
  • E.J.T. Rutgers
Cosupervisors
  • E.A. Kouwenhoven
Award date 20-09-2023
Number of pages 125
Organisations
  • Faculty of Medicine (AMC-UvA)
Abstract
Breast cancer has become the leading cause of cancer for women worldwide. Treatment nowadays is multidisciplinary and the surgical management of breast cancer has transformed from a radical mutilating procedure to a less invasive and oncologic safe operation. In this era of de-escalation, it is important to select those patients where a ‘less is more’ approach is oncologic save while keeping in mind that breast cancer is a very heterogeneous disease.
First we focused on the triple negative breast cancer patients and found tumour-stroma ratio to be a strong independent prognostic variables. Another group of breast cancer patients who lack optimal therapy guidelines, are the so-called special types. Submitting them all to the same treatment may lead to both over- and under-treatment. We need to form and analyse large databases in the near future by combining (inter)national data.
Secondly we focused on the de-escalation of axillary surgery and studied the utility and diagnostic accuracy of axillary US and US with FNAC in detecting axillary lymph node metastases. Knowledge of the axillary status pre-operatively with the use of ultrasonography makes a more personalized treatment possible. However we had to conclude it was too difficult to identify a clinically relevant proportion of woman in whom we could safely omit the SLNB based on clinicopathological variables. A number of ongoing large prospective trials evaluating the outcome of omitting SLNB have to be awaited. In the meanwhile, our nomogram may be used as a tool for individual decision-making.
Document type PhD thesis
Language English
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