Auswahl der wissenschaftlichen Literatur zum Thema „GB recurrence“
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Zeitschriftenartikel zum Thema "GB recurrence"
Stadlbauer, Andreas, Ilker Eyüpoglu, Michael Buchfelder, Arnd Dörfler, Max Zimmermann, Gertraud Heinz und Stefan Oberndorfer. „Vascular architecture mapping for early detection of glioblastoma recurrence“. Neurosurgical Focus 47, Nr. 6 (Dezember 2019): E14. http://dx.doi.org/10.3171/2019.9.focus19613.
Der volle Inhalt der QuelleStadlbauer, Andreas, Stefan Oberndorfer, Max Zimmermann, Bertold Renner, Michael Buchfelder, Gertraud Heinz, Arnd Doerfler, Andrea Kleindienst und Karl Roessler. „Physiologic MR imaging of the tumor microenvironment revealed switching of metabolic phenotype upon recurrence of glioblastoma in humans“. Journal of Cerebral Blood Flow & Metabolism 40, Nr. 3 (07.02.2019): 528–38. http://dx.doi.org/10.1177/0271678x19827885.
Der volle Inhalt der QuelleLessi, F., M. Morelli, P. Aretini, M. Menicagli, S. Franceschi, F. Pasqualetti, C. Gambacciani, A. Di Stefano, O. Santonocito und C. M. Mazzanti. „P14.01.B Isolation and characterization of circulating tumor cells in a glioblastoma case with recurrence at distance and correlation with tumor mutational status“. Neuro-Oncology 24, Supplement_2 (01.09.2022): ii82. http://dx.doi.org/10.1093/neuonc/noac174.286.
Der volle Inhalt der QuelleBeppu, Takaaki, Yuichi Sato, Toshiaki Sasaki, Kazunori Terasaki und Kuniaki Ogasawara. „NI-19 Use of 11C-methionine PET for decision of discontinuation of adjuvant chemotherapy with temozolomide“. Neuro-Oncology Advances 2, Supplement_3 (01.11.2020): ii14. http://dx.doi.org/10.1093/noajnl/vdaa143.062.
Der volle Inhalt der QuellePettiwala, Aafrin M., Cathy Pichol-Thievend, Oceane Anezo, Guillaume Bourmeau, Remi Montagne, Anne-Marie Lyne, Pierre-Olivier Guichet Guichet et al. „TMIC-76. GLIOBLASTOMA VESSEL CO-OPTION OCCURS AS A RESISTANCE MECHANISM TO CHEMORADIATION VIA INDUCTION OF A NOVEL CELL STATE“. Neuro-Oncology 25, Supplement_5 (01.11.2023): v295. http://dx.doi.org/10.1093/neuonc/noad179.1141.
Der volle Inhalt der QuelleLee, Jae-Myeong, Bong-Wan Kim, Wook Hwan Kim, Hee-Jung Wang und Myung Wook Kim. „Clinical Implication of Bile Spillage in Patients Undergoing Laparoscopic Cholecystectomy for Gallbladder Cancer“. American Surgeon 77, Nr. 6 (Juni 2011): 697–701. http://dx.doi.org/10.1177/000313481107700623.
Der volle Inhalt der QuelleBelokon, S. V., I. A. Gulidov, D. V. Gogolin, K. E. Medvedeva, S. A. Ivanov und A. D. Kaprin. „Re-irradiation combined with bevacizumab in the treatment of glioblastoma recurrence“. Siberian journal of oncology 23, Nr. 1 (21.03.2024): 142–54. http://dx.doi.org/10.21294/1814-4861-2024-23-1-142-154.
Der volle Inhalt der QuelleCianci, Francesca, Guido Rey, Dietmar Krex, Davide Ceresa, Paolo Malatesta und Michele Mazzanti. „Abstract 2092: Genomic and proteomic analysis of glioblastoma recurrences during TTFields exposure“. Cancer Research 84, Nr. 6_Supplement (22.03.2024): 2092. http://dx.doi.org/10.1158/1538-7445.am2024-2092.
Der volle Inhalt der QuelleSimionescu, Natalia, Miruna Nemecz, Anca-Roxana Petrovici, Ioan Sebastian Nechifor, Razvan-Cristian Buga, Marius Gabriel Dabija, Lucian Eva und Adriana Georgescu. „Microvesicles and Microvesicle-Associated microRNAs Reflect Glioblastoma Regression: Microvesicle-Associated miR-625-5p Has Biomarker Potential“. International Journal of Molecular Sciences 23, Nr. 15 (29.07.2022): 8398. http://dx.doi.org/10.3390/ijms23158398.
Der volle Inhalt der QuelleNakao, Sayumi, Michio Itabashi, Mamiko Ubukata, Yoshiko Bamba, Tomoichiro Hirosawa, Shimpei Ogawa, Shingo Kameoka und Kenichi Sugihara. „Age-specific prognostic factors in patients treated surgically for pulmonary metastases of colorectal cancer: A multi-institutional cumulative follow-up study.“ Journal of Clinical Oncology 33, Nr. 3_suppl (20.01.2015): 773. http://dx.doi.org/10.1200/jco.2015.33.3_suppl.773.
Der volle Inhalt der QuelleDissertationen zum Thema "GB recurrence"
Larrieu, Claire. „Adaptations métaboliques impliquées dans le développement et la rechute des glioblastomes : Etude du rôle du métabolisme du lactate“. Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0060.
Der volle Inhalt der QuelleGlioblastoma (GB) is the most frequent and most aggressive brain cancer in adult. Additionally to strong proliferative and infiltrative capacities responsible for bad prognosis and frequent relapse, GB cells also exhibit high metabolic plasticity. In fact, glycolytic and oxidative cells live side by side in the tumor and form a metabolic symbiosis supporting survival, progression and resistance to treatment of these malignant cells. Our work show that this intra-tumoral metabolic symbiosis in GB is centered on lactate exchanges between the core tumor and the invasive population spreading in the brain. Disturbing this intra-tumoral lactate metabolism, directly by blocking LDHs or indirectly by targeting regulatory enzymes such as PDHKs, has shown interesting alteration of GB progression in vitro and in vivo.In clinic, surgical resection of the tumor (when possible) is often the first step of therapy for patients with GB. Traumatic and invasive act for patients, resection is also traumatic for the tumor itself, by strongly disturbing intra-tumoral metabolic symbiosis. However, invasive cells escaping this surgical step are invariably switching back to a proliferative phenotype and growing a new tumor. Indeed, surgical removal of tumor mass, the main glycolytic producer of lactate in GB, induces lactate fluctuations also in these post-resection residual GB cells. These fluctuations seem to be responsible for metabolic rewiring sustaining survival and proliferation. Then, adding a metabolic block to the actual standard therapy could be of significant interest to prevent GB progression and relapse
Konferenzberichte zum Thema "GB recurrence"
Yang, Chuanchuan, Yunfeng Gao, Jiaxing Wang, Hongbin Li und Constance J. Chang-Hasnain. „Enhanced Recurrent Neural Network Equalization based on Hidden Feature Extraction Learning for Optical Interconnect“. In Optical Fiber Communication Conference. Washington, D.C.: Optica Publishing Group, 2024. http://dx.doi.org/10.1364/ofc.2024.th3d.1.
Der volle Inhalt der QuelleWang, Wei, Jiangtao Liu, Xiaolin Lyu, Xin Hu, Yifan Li, Lamia Rouis, Mourad Khdhaouria und Aldrin Rondon. „Application of Deep Learning in First-Break Picking of Shallow OBN Data“. In Gas & Oil Technology Showcase and Conference. SPE, 2023. http://dx.doi.org/10.2118/213983-ms.
Der volle Inhalt der QuelleXu, Zhaopeng, Chuanbowen Sun, Tonghui Ji, Honglin Ji und William Shieh. „Cascade Recurrent Neural Network Enabled 100-Gb/s PAM4 Short-Reach Optical Link Based on DML“. In Optical Fiber Communication Conference. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/ofc.2020.w2a.45.
Der volle Inhalt der QuelleXu, Zhaopeng, Shuangyu Dong, Chenxin Jiang, Jonathan H. Manton und William Shieh. „Sparsely-Connected Cascade Recurrent Neural Network-Based Nonlinear Equalizer for a 100-Gb/s PAM4 Optical Interconnect“. In Asia Communications and Photonics Conference. Washington, D.C.: OSA, 2021. http://dx.doi.org/10.1364/acpc.2021.m5h.4.
Der volle Inhalt der QuelleGao, Yunfeng, Chuanchuan Yang, Jiaxing Wang, Xin Qin, Haipeng Guo, Xiaoyu Zhang, Chih-Chiang Shen, Hongbin Li, Zhangyuan Chen und Constance J. Chang-Hasnain. „288 Gb/s 850 nm VCSEL-based Interconnect over 100 m MMF based on Feature-enhanced Recurrent Neural Network“. In Optical Fiber Communication Conference. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/ofc.2022.m4h.2.
Der volle Inhalt der QuelleGao, Yunfeng, Chuanchuan Yang, Jiaxing Wang, Xin Qin, Haipeng Guo, Xiaoyu Zhang, Chih-Chiang Shen, Hongbin Li, Zhangyuan Chen und Constance J. Chang-Hasnain. „288 Gb/s 850 nm VCSEL-based Interconnect over 100 m MMF based on Feature-enhanced Recurrent Neural Network“. In Optical Fiber Communication Conference. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/ofc.2022.m4h.2.
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