Methylation-Based Characterization of a New IDH2 Mutation in Sinonasal Undifferentiated Carcinoma

Autor: Simon Burgermeister, Simona Stoykova, Fanny S. Krebs, Vincent Zoete, Martial Mbefo, Kristof Egervari, Antoine Reinhard, Bettina Bisig, Ekkehard Hewer

Publikováno v: International Journal of Molecular Sciences, Vol 25, Iss 12, p 6518 (2024)

Mutations affecting codon 172 of the isocitrate dehydrogenase 2 (IDH2) gene define a subgroup of sinonasal undifferentiated carcinomas (SNUCs) with a relatively favorable prognosis and a globally hypermethylated phenotype. They are also recurrent (al

Externí odkaz: https://doaj.org/article/d740a654ee3548f89d3c9aea31bcbaca

Quantification of the spatial distribution of primary tumors in the lung to develop new prognostic biomarkers for locally advanced NSCLC

Autor: Diem Vuong, Marta Bogowicz, Leonard Wee, Oliver Riesterer, Eugenia Vlaskou Badra, Louisa Abigail D’Cruz, Panagiotis Balermpas, Janita E. van Timmeren, Simon Burgermeister, André Dekker, Dirk De Ruysscher, Jan Unkelbach, Sandra Thierstein, Eric I. Eboulet, Solange Peters, Miklos Pless, Matthias Guckenberger, Stephanie Tanadini-Lang

Publikováno v: Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)

Abstract The anatomical location and extent of primary lung tumors have shown prognostic value for overall survival (OS). However, its manual assessment is prone to interobserver variability. This study aims to use data driven identification of image

Externí odkaz: https://doaj.org/article/9615c4afc85740e1810eab98fd347f9b

Improved Survival Prediction by Combining Radiological Imaging and S-100B Levels Into a Multivariate Model in Metastatic Melanoma Patients Treated With Immune Checkpoint Inhibition

Autor: Simon Burgermeister, Hubert S. Gabryś, Lucas Basler, Sabrina A. Hogan, Matea Pavic, Marta Bogowicz, Julia M. Martínez Gómez, Diem Vuong, Stephanie Tanadini-Lang, Robert Foerster, Martin W. Huellner, Reinhard Dummer, Mitchell P. Levesque, Matthias Guckenberger

Publikováno v: Frontiers in Oncology, Vol 12 (2022)

PurposeWe explored imaging and blood bio-markers for survival prediction in a cohort of patients with metastatic melanoma treated with immune checkpoint inhibition.Materials and Methods94 consecutive metastatic melanoma patients treated with immune c

Externí odkaz: https://doaj.org/article/df2738f114d24e2a825402237ac970e7

Radiomics and Machine Learning Differentiate Soft-Tissue Lipoma and Liposarcoma Better than Musculoskeletal Radiologists

Autor: Angeliki Neroladaki, Sana Boudabbous, Marion Hamard, Xavier Montet, Jeremy Hofmeister, Simon Burgermeister, Ieva Malinauskaite

Publikováno v: Sarcoma, Vol 2020 (2020)
Sarcoma

Distinguishing lipoma from liposarcoma is challenging on conventional MRI examination. In case of uncertain diagnosis following MRI, further invasive procedure (percutaneous biopsy or surgery) is often required to allow for diagnosis based on histopa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1a66e0fad5d56445b7ad179ebb56585
https://doi.org/10.1155/2020/7163453

Quantification of the spatial distribution of primary tumors in the lung to develop new prognostic biomarkers for locally advanced NSCLC

Autor: E.I. Eboulet, Stephanie Tanadini-Lang, Janita E. van Timmeren, Jan Unkelbach, Eugenia Vlaskou Badra, Dirk De Ruysscher, Andre Dekker, Diem Vuong, Louisa Abigail D’Cruz, Marta Bogowicz, Miklos Pless, Panagiotis Balermpas, Oliver Riesterer, Solange Peters, Matthias Guckenberger, Sandra Thierstein, Leonard Wee, Simon Burgermeister

Publikováno v: Scientific Reports, 11(1):20890. Nature Publishing Group
Scientific reports, vol. 11, no. 1, pp. 20890
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)

The anatomical location and extent of primary lung tumors have shown prognostic value for overall survival (OS). However, its manual assessment is prone to interobserver variability. This study aims to use data driven identification of image characte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e65971dabef2f56037323ef6d4e6d403
https://doi.org/10.1038/s41598-021-00239-0