Related Experiment Video
Updated: Jun 20, 2026

Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
[Predictive pathology of lymphomas]
Vincent Gréloz1, Thierry Rausch, Thomas McKee
1Service de pathologie clinique, Département de médecine génétique et de laboratoire, HUG, Geneve. vincent.greloz@hcuge.ch
Abstract:
The predictive pathology in the diagnosis of B-cell lymphomas is a field in evolution. As our understanding of these tumours progresses so does our ability to predict their evolution. This is true not only in the wider and traditional sense where a given marker identifies a group of tumors with a better or worse prognosis but also with reference to specific patients. Here the development of new therapeutic agents whose activity depends on the expression within the tumour of specific proteins has begun to bring the long awaited era of "personalised therapy" a little closer to reality.
More Related Videos
10:18From a 2DE-Gel Spot to Protein Function: Lesson Learned From HS1 in Chronic Lymphocytic Leukemia
Published on: October 19, 2014
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025
Related Concept Videos
Primary Lymphoid Organs
The red bone marrow is a soft, spongy tissue nestled in the interior of long bones such as the humerus and femur. It is the site...
Lymphoid Cells and Tissues
Lymphoid cells consist of various types of immune system cells. These include B and T lymphocytes, which are responsible for producing antibodies and killing infected cells, respectively. Dendritic cells act as messengers between the innate and adaptive...