New publication: F. Cannet, C. Sequera et al., Tracing specificity of immune landscape remodeling associated with distinct anticancer treatments

DePIcT: an interdisciplinary project and thesis in the service of cancer research

The work carried out as part of the DePIcT project (Deep-Learning Data Processing of spectral PC-CT longitudinal Studies to Design and Optimize combined Immune-Anticancer Treatments in Liver Cancer Mouse Models) focused on understanding the mechanisms of cellular hepatocarcinoma (HCC): liver tumors that represent the 3rd most deadly cancer in the world. Floriane Cannet used longitudinal imaging of Alb-R26Met mice spontaneously developing hepatocarcinomas with the PIXSCAN-FLI camera, a prototype photon-counting micro-tomodensitometer developed at CPPM.

Floriane Cannet’s work has made it possible to acquire knowledge of the tumor microenvironment and to translate this into new therapies. A first publication recently published in iScience presents the experimental results of two liver cancer treatments combined with immunotherapy, based on CT scans, flow cytometry and cell-by-cell RNA sequencing. A machine learning approach processing tumor imaging and immune profile data identified a putative immune signature predicting tumor treatment response in mice and patients.

Follow this link fo more information: https://doi.org/10.1016/j.isci.2025.112071