@misc{9236927,
  abstract     = {{Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous group of lymphomas in terms of molecular profile and clinical outcomes, highlighting the need to identify new biomarkers to stratify patients. In this thesis, the protein expression of BCL2, PLK1, MYC and p53 was evaluated in a DLBCL-cohort using multiplex immunofluorescence (mIF) to investigate correlations between protein expression and survival outcome. QuPath was used for image analysis through segmentation with Instanseg and the training of machine learning object classifiers, allowing streamlined patient classification. 

A clear co-expression tendency was observed for PLK1 and MYC. High levels of MYC, PLK1 and p53 were associated with inferior prognosis after adjusting for age, gender, international prognostic index (IPI) and status. For patients with combined high BCL2 and MYC expression, high PLK1 or p53 expression further worsened the prognosis.

The same mIF panel was used to stain three DLBCL cell lines and one MCL cell line following treatment with the BCL2 inhibitor venetoclax and the PLK1 inhibitor volasertib to evaluate the treatments effect on BCL2, PLK1, MYC and p53 expression. Clear differences in protein expression could be seen depending on the mutational status of the cell lines, with a higher initial MYC and p53 expression in cell lines with rearranged MYC or mutated TP53. High MYC expression correlated with volasertib sensitivity, while BCL2 mutations were associated with venetoclax sensitivity. The combined treatment was evaluated in one cell line, indicating that the combined treatment could improve treatment response as opposed to single treatment with any of the agents.}},
  author       = {{Öjstedt, Emma}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Multiplex immunofluorescence and digital pathology as tools to evaluate variation in MYC level related to molecular inhibition and molecular sub-group in diffuse large B-cell lymphoma}},
  year         = {{2026}},
}