Marion Bouchecareilh et Samuel Amintas from Team 8 “Genetic Biotherapies and Oncology” (BioGO) invite two speakers from Paris Cité University, Center for Inflammation Research, INSERM 1149, Sinkus Team (From micro to macro in cancer development) for this seminar open to the scientific community.

👉 Aurélie Beaufrère

Morphological and molecular heterogeneity of hepatocellular carcinoma.

Abstract:
Hepatocellular carcinoma is the most common primary malignant liver tumor. This tumor is highly heterogeneous, both morphologically, with eight histological subtypes described, and molecularly, with distinct transcriptomic groups described that are linked to both genomic alterations and morphological aspects. Some of these characteristics impact both prognosis and response to treatment.

Biography:
Currently an MCU-PH in the Pathology Department at Beaujon Hospital, my hospital and research work focuses on liver pathology, particularly liver tumors. I am developing projects on the morphological and molecular heterogeneity of primary liver tumors, as well as multimodal artificial intelligence projects integrating pathological, radiological, and molecular data.

👉 Etienne Becht

High-throughput single-cell quantification of 100s of proteins using conventional flow cytometry and machine learning.

Abstract:

Techniques enabling single-cell resolution proteomic analyses are limited in terms of the number of cells analyzed and/or the number of proteins measured. To overcome these limitations, we have developed “Infinity Flow,” a method for analyzing flow cytometry data in parallel using machine learning models. By enabling the pseudo-quantification of hundreds of proteins in millions of single cells, this technique allows for in-depth mapping of the microenvironment of complex tissues. We are currently applying it to the study of liver cirrhosis and hepatocellular carcinoma.

Biography:

As an engineer by training, I completed a thesis in cancer immunology under the joint supervision of Hervé Fridman (PUPH) and Aurélien de Reyniès (bioinformatician) at the Cordeliers Research Center in Paris. There, I developed MCP-counter, a method for estimating the composition of the tumor microenvironment from the bulk transcriptome. I then completed two postdoctoral fellowships, first at the Singapore Immunology Network on mass cytometry data analysis, then in Seattle on parallelized flow cytometry data analysis. I then worked in R&D at Servier (Computational Medicine team) before joining Valérie Paradis’ laboratory at the hospital as an INSERM research fellow. My project focuses on profiling the hepatic microenvironment using parallelized flow cytometry and developing bioinformatics methods for analyzing cytometry data.