Recent technology and bioinformatics development has significantly improved the comprehensiveness and accuracy of measurements in lymphoma biology studies, revealing new level of complexity of both tumor and microenvironment (ME) components. The application of transcriptomics, genomics, multiparametric imaging and bioinformatics to study the most frequent subtype of non-Hodgkin lymphoma, namely Diffuse Large B Cell Lymphoma (DLBCL), has progressively pointed out a striking intra- and interpatient heterogeneity in terms of quantitative and functional diversity of tumor-infiltrating immune and stromal cells. Moreover, specific patters of microenvironmental contextures have been linked to therapeutical outcomes, revealing unprecedented prognostic/predictive meanings of TME and new fascinating research hypotheses. The main goals of the present lesson is to i) retrace the evolution of modern technologies and their application to the biology of DLBCL; ii) how new computational approaches changed the deciphering capacity of TME in DLBCL; and iii) the implication of new TME cellular ecosystems for potential clinical treatment decisions.
Frontal lesson
Not foreseen for the specific lesson
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