Great experience of Nicolas visiting collaborators Jaehee Kim at the University of Cornell and Noah A Rosenberg at Stanford University! Nicolas and collaborators are developing methods to understand tumor evolution and describe intra-tumor heterogeneity.  Nicolas gave a lecture to Stanford graduate students on the mathematics of population structure (available here) and a lecture on cancer

Submission of a theoretical deep learning paper : Mathian E, Liu H, Fernandez-Cuesta L, Samaras D, Foll M, Chen L, HaloAE: An HaloNet based Local Transformer Auto-Encoder for Anomaly Detection and Localization. European Conference on Computer Vision 2022.

The proposed Rare Cancers EPIC Working Group led by Lynnette Fernandez-Cuesta and Matthieu Foll has been approved by the EPIC Steering Committee. We are looking forward to using this Rare Cancers EPIC Working Group as a way to better understand the etiology of neuroendocrine tumors and sarcomas.

Check out our publication in Lung Cancer, entitled “Detection of acquired TERT amplification in addition to predisposing p53 and Rb pathways alterations in EGFR-mutant lung adenocarcinomas transformed into small-cell lung cancers” led by our collaborators Anne Mc Leer and Denis Moro-Sibilot. Full paper can be found here.

Check out our publication in the International Journal of Cancer, entitled “Differential Orthopedia Homeobox expression in pulmonary carcinoids is associated with changes in DNA methylation” led by our collaborators Jules Derks and Ernst-Jan Speel. Full paper can be found here.

Congratulations to our postdoc Alex Di Genova, starting in January 2022 as Associate Professor at the University of Chile, leading his own group!

Alexandra Sexton-Oates presented a short video entitled “Molecular characterization of pulmonary supra-carcinoids through integration of multi-omics data” at the Neuroendocrine Tumor Research Foundation 2021 Virtual Research Symposium

We are excited to share the latest work from our MESOMICS project in which we disentangle the molecular, clinical and morphological heterogeneity of malignant pleural mesothelioma (MPM) using deep integrative omics analyses: https://biorxiv.org/cgi/content/short/2021.09.27.461908v1. MPM is a rare aggressive cancer associated with asbestos exposure. In the past decade, knowledge on the molecular profile of MPM has

This is a great opportunity to start collaborations that will help translate our molecular data into clinical practice.

Lynnette Fernandez-Cuesta had the honor to participate as expert co-author for Neuroendocrine Tumors chapter. It can be found here.