Zobrazeno 1 - 10
of 237
pro vyhledávání: '"Timo, Gaiser"'
Autor:
Tom Venken, Ian S. Miller, Ingrid Arijs, Valentina Thomas, Ana Barat, Johannes Betge, Tianzuo Zhan, Timo Gaiser, Matthias P. Ebert, Alice C. O’Farrell, Jochen Prehn, Rut Klinger, Darran P. O’Connor, Brian Moulton, Verena Murphy, Garazi Serna, Paolo G. Nuciforo, Ray McDermott, Brian Bird, Gregory Leonard, Liam Grogan, Anne Horgan, Nadine Schulte, Markus Moehler, Diether Lambrechts, Annette T. Byrne
Publikováno v:
npj Genomic Medicine, Vol 9, Iss 1, Pp 1-10 (2024)
Abstract To predict outcome to combination bevacizumab (BVZ) therapy, we employed cell-free DNA (cfDNA) to determine chromosomal instability (CIN), nucleosome footprints (NF) and methylation profiles in metastatic colorectal cancer (mCRC) patients. L
Externí odkaz:
https://doaj.org/article/7492becf8fc3468584cbff1ca25b4e7f
Autor:
Lena Dreikhausen, Anna Klupsch, Isabella Wiest, Qiyun Xiao, Nadine Schulte, Johannes Betge, Tobias Boch, Christoph Brochhausen, Timo Gaiser, Ralf-Dieter Hofheinz, Matthias Ebert, Tianzuo Zhan
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Panel gene sequencing is an established diagnostic tool for precision oncology of solid tumors, but its utility for the treatment of cancers of the digestive system in clinical routine is less well documented. Methods We retrospec
Externí odkaz:
https://doaj.org/article/dec4dc4fb2c1407c959e9b6b3bbcac7f
Autor:
Julia Höhn, Eva Krieghoff-Henning, Christoph Wies, Lennard Kiehl, Martin J. Hetz, Tabea-Clara Bucher, Jitendra Jonnagaddala, Kurt Zatloukal, Heimo Müller, Markus Plass, Emilian Jungwirth, Timo Gaiser, Matthias Steeg, Tim Holland-Letz, Hermann Brenner, Michael Hoffmeister, Titus J. Brinker
Publikováno v:
npj Precision Oncology, Vol 7, Iss 1, Pp 1-12 (2023)
Abstract Studies have shown that colorectal cancer prognosis can be predicted by deep learning-based analysis of histological tissue sections of the primary tumor. So far, this has been achieved using a binary prediction. Survival curves might contai
Externí odkaz:
https://doaj.org/article/e094c1a7b01c4b7bb8979efab082563b
Autor:
Daniel Rusche, Nils Englert, Marlen Runz, Svetlana Hetjens, Cord Langner, Timo Gaiser, Cleo-Aron Weis
Publikováno v:
Applied Sciences, Vol 14, Iss 2, p 949 (2024)
Background: In this study focusing on colorectal carcinoma (CRC), we address the imperative task of predicting post-surgery treatment needs by identifying crucial tumor features within whole slide images of solid tumors, analogous to locating a needl
Externí odkaz:
https://doaj.org/article/346c3f5e0fe64adca332908a6e8789b8
Autor:
Isabel Hinsenkamp, Jan P. Köhler, Christoph Flächsenhaar, Ivana Hitkova, Sabine Eberhart Meessen, Timo Gaiser, Thomas Wieland, Christel Weiss, Christoph Röcken, Michael Mowat, Michael Quante, Karin Taxauer, Raquel Mejias-Luque, Markus Gerhard, Roger Vogelmann, Nadja Meindl-Beinker, Matthias Ebert, Elke Burgermeister
Publikováno v:
Cell Death Discovery, Vol 8, Iss 1, Pp 1-12 (2022)
Abstract Helicobacter (H.) pylori-induced gastritis is a risk factor for gastric cancer (GC). Deleted-in-liver-cancer-1 (DLC1/ARHGAP7) inhibits RHOA, a downstream mediator of virulence factor cytotoxin-A (CagA) signalling and driver of consensus-mole
Externí odkaz:
https://doaj.org/article/af5eef256ae046af90ac19454f82b4b8
Autor:
Johannes Betge, Niklas Rindtorff, Jan Sauer, Benedikt Rauscher, Clara Dingert, Haristi Gaitantzi, Frank Herweck, Kauthar Srour-Mhanna, Thilo Miersch, Erica Valentini, Kim E. Boonekamp, Veronika Hauber, Tobias Gutting, Larissa Frank, Sebastian Belle, Timo Gaiser, Inga Buchholz, Ralf Jesenofsky, Nicolai Härtel, Tianzuo Zhan, Bernd Fischer, Katja Breitkopf-Heinlein, Elke Burgermeister, Matthias P. Ebert, Michael Boutros
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
The heterogeneity underlying cancer organoid phenotypes is not yet well understood. Here, the authors develop an imaging analysis assay for high throughput phenotypic screening of colorectal organoids that allows to define specific morphological chan
Externí odkaz:
https://doaj.org/article/781b445e149e41f2a3b65e3af8beee8f
Autor:
Ioannis Karampinis, Kai Nowak, Julian Koett, Christian Mess, Laura Wagner, Timo Gaiser, Frank Thomas Mayer, Lukas Goertz, Stefan Werner Schneider, Alexander Thomas Bauer
Publikováno v:
Haematologica, Vol 108, Iss 1 (2022)
Externí odkaz:
https://doaj.org/article/f7551241cf71478fb9d3f8d201dcc92d
Autor:
Matthias P Ebert, ProfMD, Nadja M Meindl-Beinker, PhD, Tobias Gutting, MD, Martin Maenz, PhD, Johannes Betge, MD, Nadine Schulte, MD, Tianzuo Zhan, MD, Philip Weidner, MD, Elke Burgermeister, PhD, Ralf Hofheinz, ProfMD, Arndt Vogel, ProfMD, Stefan Angermeier, MD, Claus Bolling, MD, Maike de Wit, ProfMD, Ralf Jakobs, ProfMD, Meinolf Karthaus, ProfMD, Gertraud Stocker, MD, Peter Thuss-Patience, MD, Tobias Leidig, PhD, Timo Gaiser, ProfMD, Jakob N Kather, ProfMD, Nicolai Haertel, MD
Publikováno v:
The Lancet. Healthy Longevity, Vol 3, Iss 6, Pp e417-e427 (2022)
Summary: Background: The overall survival of patients with advanced and refractory oesophageal squamous cell carcinoma, mostly aged 65 years and older, is poor. Treatment with PD-1 antibodies showed improved progression-free survival and overall surv
Externí odkaz:
https://doaj.org/article/44c5e9f98cad4d8cb78f0b4c9de02298
Autor:
Stefan Porubsky, Malin Nientiedt, Maximilian C. Kriegmair, Jörn-Helge Heinrich Siemoneit, Roger Sandhoff, Richard Jennemann, Hendrik Borgmann, Timo Gaiser, Cleo-Aron Weis, Philipp Erben, Thomas Hielscher, Zoran V. Popovic
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Renal cell carcinoma (RCC) is the deadliest primary genitourinary malignancy typically associated with asymptomatic initial presentation and poorly predictable survival. Next to established risk factors, tumor microenvironment may alter meta
Externí odkaz:
https://doaj.org/article/08f451bc6274482e842f3d75e75a5ff8
Autor:
Frederik Wessels, Max Schmitt, Eva Krieghoff-Henning, Jakob N Kather, Malin Nientiedt, Maximilian C Kriegmair, Thomas S Worst, Manuel Neuberger, Matthias Steeg, Zoran V Popovic, Timo Gaiser, Christof von Kalle, Jochen S Utikal, Stefan Fröhling, Maurice S Michel, Philipp Nuhn, Titus J Brinker
Publikováno v:
PLoS ONE, Vol 17, Iss 8, p e0272656 (2022)
For clear cell renal cell carcinoma (ccRCC) risk-dependent diagnostic and therapeutic algorithms are routinely implemented in clinical practice. Artificial intelligence-based image analysis has the potential to improve outcome prediction and thereby
Externí odkaz:
https://doaj.org/article/dc38b43529124025af4013dff0dabcb4