Till Acker

Professor; Director

University of Giessen

Germany

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Professor Till Acker is the Director at the University of Giessen in Germany. His research focuses on various aspects of cancer biology and neurobiology, with recent articles exploring the connections between DNA damage responses, metabolic rewiring in lung cancer, and molecular subtypes of brain tumors. He is actively involved in studying the effects of genetic alterations in conditions such as meningioma and pediatric ependymoma, along with advanced techniques in computational histopathology.

Articles (10)

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2025

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2024

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2024

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2024

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2024

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2024

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2024

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2024

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2023

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2023

Collaborators (1)

Attila Nemeth

Justus Liebig University

GERMANY

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Till Acker

Research Interests

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Articles (10)

RNF20 links the DNA damage response and metabolic rewiring in lung cancer through HIF1α

DistSNE: Distributed computing and online visualization of DNA methylation-based central nervous system tumor classification

Distribution of ferritin complex in the adult brain and altered composition in neuroferritinopathy due to a novel variant in the ferritin heavy chain gene <i>FTH1</i> (c.409_410del; p.H137Lfs*4)

Identification of a putative molecular subtype of adult-type diffuse astrocytoma with recurrent MAPK pathway alterations

Loss over 5% of chromosome 1p is a clinically relevant and applicable cut-off for increased risk of recurrence in meningioma

MOLECULAR MARKERS AND PREDICTORS OF OUTCOME FOR PAEDIATRIC INTRACRANIAL EPENDYMOMA IN THE PROSPECTIVE, MULTICENTRE E-HIT2000 TRIAL AND SUBSEQUENT HIT-REGISTRIES: A POOLED ANALYSIS OF 244 PATIENTS

Outcome of whole brain irradiation with a dose-escalated simultaneous-integrated boost in patients with multiple large and/or diffuse brain metastases: real live data and review of the literature

Survival probability of epigenetically defined IDH-wild-type glioblastoma without necrosis or vascular proliferation

Beyond ribosome biogenesis: noncoding nucleolar RNAs in physiology and tumor biology

Leveraging Attention-Based Convolutional Neural Networks for Meningioma Classification in Computational Histopathology

Collaborators (1)

Attila Nemeth

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