Publications database

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2026-02-05
15:18
[DKFZ-2026-00290] Journal Article (Review Article)
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The role of zongertinib, a highly selective tyrosine kinase inhibitor, in targeting HER2-mutant NSCLC: a bench-to-bedside review.
HER2 is mutated in 2-4% of non-small cell lung cancers (NSCLC) and is associated with poor prognosis. Tyrosine kinase inhibitors (TKIs) targeting HER2 have historically been hampered by insufficient efficacy against exon 20 insertion mutations and lack of specificity, resulting in off-target adverse events. [...]

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2026-02-05
15:15
[DKFZ-2026-00289] Journal Article
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Repotrectinib in NTRK fusion-positive advanced solid tumors: a phase 1/2 trial.
Early-generation TRK tyrosine kinase inhibitors (TKIs) approved for treating NTRK fusion-positive (NTRK+) solid tumors provide clinical benefit; however, resistance emerges. Repotrectinib is a next-generation ROS1/TRK TKI with a compact macrocyclic structure designed to improve durability of response. [...]

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2026-02-05
15:11
[DKFZ-2026-00288] Journal Article
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Relapse following FLT3 inhibitor cessation in FLT3-ITD-positive AML: lessons from two clinical cases.
The clinical success of FLT3 inhibitors has led to their steadily increasing use in the treatment of acute myeloid leukemia (AML), both in the relapsed/refractory setting and as post-transplant maintenance. Despite their expanding application, there is currently no guidance on the optimal duration of therapy or the feasibility of discontinuation. [...]

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2026-02-05
14:47
DBCoverage [DKFZ-2026-00283] Journal Article
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Proximity labeling reveals non-catalytic interactions between DPP9 and ubiquitin signaling complexes.
Dipeptidyl peptidase 9 (DPP9) is an amino-peptidase with roles in immunity, DNA-repair, cell signaling, memory and neonatal survival; its dysregulation is linked to cancer and immune-related disorders. While many studies focus on its catalytic activity, scaffolding functions of DPP9 are emerging. [...]

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2026-02-05
14:44

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2026-02-05
14:43
DBCoverage [DKFZ-2026-00280] Journal Article
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Large-scale self-supervised video foundation model for intelligent surgery.
Computer-Assisted Intervention has the potential to revolutionize modern surgery, with surgical scene understanding serving as a critical component in supporting decision-making and improving procedural efficacy. While existing AI-driven approaches alleviate annotation burdens via self-supervised spatial representation learning, their lack of explicit temporal modeling during pre-training fundamentally restricts the capture of dynamic surgical contexts, resulting in incomplete spatiotemporal understanding. [...]

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2026-02-05
14:41
[DKFZ-2026-00279] Journal Article
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Activated ATF6α is a hepatic tumour driver restricting immunosurveillance.
Hepatocellular carcinoma (HCC) is the fastest growing cause of cancer-related mortality and there are limited therapies1. Although endoplasmic reticulum (ER) stress and the unfolded protein response (UPR) are implicated in HCC, the involvement of the UPR transducer ATF6α remains unclear2. [...]

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2026-02-05
14:12

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2026-02-04
14:38
[DKFZ-2026-00276] Journal Article
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Guidelines for Reporting Studies on Large Language Models in Radiology: An International Delphi Expert Survey.
Radiology 318(2), e250913 () [10.1148/radiol.250913]  GO
Large language models (LLMs) have transformative potential in radiology, including textual summaries, diagnostic decision support, proofreading, and image analysis. However, the rapid increase in studies investigating these models, along with the lack of standardized LLM-specific reporting practices, affects reproducibility, reliability, and clinical applicability. [...]

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2026-02-04
14:35
[DKFZ-2026-00275] Journal Article
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Institutional variability in testing for actionable genetic alterations in patients with stage IIIB/C or IV non-small cell lung cancer: A real-world study from the German prospective, observational, multicenter CRISP registry (AIO-TRK-0315).
Molecular testing in NSCLC is essential for treatment selection, yet routine implementation remains inconsistent across institutions. Clinical evidence suggests that variability in testing may not be explained by patient or tumor characteristics but might be driven by institutional factors, potentially leading to adverse outcomes. [...]

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