Connecting the dots in classical Hodgkin Lymphoma

Connecting the dots, by integrating data from various domains, including quantitative PET data, serum biomarkers, tumor microenvironment composition, and clinical data this thesis paves the way for more personalized and effective therapeutic strategies for classical Hodgkin Lymphoma (cHL) patients.
cHL is characterized by a small percentage of malignant Hodgkin and Reed-Sternberg (HRS) cells within a complex tumor microenvironment abundant in immune cells. Despite this, HRS cells effectively evade immune responses. Diagnosis relies on biopsy and ¹⁸F-FDG PET-CT scans, with treatment primarily consisting of risk-stratified chemotherapy and radiotherapy. However, a significant proportion of patients experience primary refractory disease or relapse.
Through the research described in this thesis, we identified significant prognostic factors for progression free survival, developed a prognostic model utilizing radiomics PET scan analysis, and synergistically integrated this with serum and genetic biomarkers to enhance prognostic accuracy and treatment decision-making in cHL.