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Akademický článek

Individualized targeted treatment in a case of a rare TFG::ROS1 fusion positive inflammatory myofibroblastic tumor (IMT)

Autor: Sebastian Sommer, Maximilian Schmutz, Tina Schaller, Patrick Mayr, Sebastian Dintner, Bruno Märkl, Ralf Huss, M. Monika Golas, Michaela Kuhlen, Frank Jordan, Rainer Claus, Bernhard Heinrich

Publikováno v: Cancer Reports, Vol 7, Iss 1, Pp n/a-n/a (2024)

Abstract Background Inflammatory myofibroblastic tumor (IMTs) are rare mesenchymal neoplasms with slow growth. Resection is considered as therapeutic standard, with chemotherapy being insufficiently effective in advanced disease. ALK translocations a

Externí odkaz: https://doaj.org/article/5e11ff40774f49958e3d8ec99b37fc04

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Akademický článek

Proteomic and transcriptomic characterisation of FIA10, a novel murine leukemic cell line that metastasizes into the brain.

Autor: Ursula Just, Helmut Burtscher, Sylvia Jeratsch, Meike Fischer, Carol Stocking, Jens Preussner, Mario Looso, Ralf Schwanbeck, Stefan Günther, Ralf Huss, Lynne Mullen, Thomas Braun

Publikováno v: PLoS ONE, Vol 19, Iss 1, p e0295641 (2024)

Brain metastasis leads to increased mortality and is a major site of relapse for several cancers, yet the molecular mechanisms of brain metastasis are not well understood. In this study, we established and characterized a new leukemic cell line, FIA1

Externí odkaz: https://doaj.org/article/f912bd85dff741eba0d373a552e219bb

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Akademický článek

Artificial intelligence and digital biomarker in precision pathology guiding immune therapy selection and precision oncology

Autor: Ralf Huss, Johannes Raffler, Bruno Märkl

Publikováno v: Cancer Reports, Vol 6, Iss 7, Pp n/a-n/a (2023)

Abstract Background The currently available immunotherapies already changed the strategy how many cancers are treated from first to last line. Understanding even the most complex heterogeneity in tumor tissue and mapping the spatial cartography of th

Externí odkaz: https://doaj.org/article/5253100d3dc5418d9468002c6e950c84

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Akademický článek

Hypothesis‐free deep survival learning applied to the tumour microenvironment in gastric cancer

Autor: Armin Meier, Katharina Nekolla, Lindsay C Hewitt, Sophie Earle, Takaki Yoshikawa, Takashi Oshima, Yohei Miyagi, Ralf Huss, Günter Schmidt, Heike I Grabsch

Publikováno v: The Journal of Pathology: Clinical Research, Vol 6, Iss 4, Pp 273-282 (2020)

Abstract The biological complexity reflected in histology images requires advanced approaches for unbiased prognostication. Machine learning and particularly deep learning methods are increasingly applied in the field of digital pathology. In this st

Externí odkaz: https://doaj.org/article/214b0075da184485a1149f62c1e0253f

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