2026-04-14 14:49 |
[DKFZ-2026-00876]
Journal Article
Feng, B. ; Zhu, Y. ; Zhang, Z. ; et al
Tumor lactate metabolism shapes immune suppression and therapeutic resistance revealed by integrative multi-omics and digital pathology.
Lactate metabolism is a hallmark of cancer metabolic reprogramming, shaping tumor immunity and therapeutic resistance, yet clinically accessible and low-cost methods to assess intratumoral lactate activity remain limited.We curated a lactate-related 59-gene signature and characterized its biological and clinical relevance across TCGA, GEO, and single-cell RNA-seq datasets. By integrating multi-omic, spatial, and computational analyses, we linked lactate metabolism to the tumor microenvironment and developed a deep learning framework to infer lactate metabolic states directly from routine H&E whole-slide images.High lactate activity (LAC_H) was associated with enhanced tumor proliferation, suppressed immune infiltration, and poor response to both immunotherapy and radiotherapy in HNSCC. [...]
Detailed record - Similar records
|
2026-04-14 14:48 |
Detailed record - Similar records
|
2026-04-14 14:45 |
Detailed record - Similar records
|
2026-04-14 14:44 |
Detailed record - Similar records
|
2026-04-14 14:42 |
Detailed record - Similar records
|
2026-04-14 14:39 |
Detailed record - Similar records
|
2026-04-14 14:38 |
[DKFZ-2026-00870]
Journal Article
Tetteh, J. ; Schlander, M.
Exploring the Sensitivity of Utilities Predicted by the EQ-5D, SF-6D, HUI3, 15D, AQoL-4D, and AQoL-8D Multi-Attribute Utility Instruments to SF-36 Dimensions.
Multi-attribute utility instruments (MAUIs) are commonly used in health economics to measure health-related quality of life (HRQoL), yet their sensitivity to different health domains varies. This study examines the sensitivity of six widely used MAUIs-EQ-5D, SF-6D, HUI3, 15D, AQoL-4D, and AQoL-8D-to the eight dimensions of the SF-36 survey.We analyzed the associations between SF-36 dimensions and utility scores generated by each MAUI using regression models, focusing on the eight SF-36 domains as predictors. [...]
Detailed record - Similar records
|
2026-04-14 14:35 |
Detailed record - Similar records
|
2026-04-14 14:32 |
[DKFZ-2026-00868]
Journal Article
Klinkhammer, H. ; Spier, I. ; Perne, C. ; et al
Effect of a polygenic risk score in patients with late-onset, early-onset, familial, or hereditary colorectal cancer.
This study investigates how a polygenic risk score (PRS) influences colorectal cancer (CRC) risk across clinically and molecularly defined risk groups.1,839 European-descendant individuals were stratified according to low (<20%), intermediate (20 to 80%), or high (>80%) PRS, based on 93 CRC-associated SNPs, for four high risk groups: (i) Lynch syndrome [LS; with CRC: n = 679, CRC-free carriers: n = 422]; (ii) early-onset sporadic CRC [EOS-CRC; n = 518], (iii) positive family history for CRC [F-CRC; n = 220]; and, in EOS-CRC and F-CRC patients (iv) MSI/dMMR CRC [n = 144] vs MSS/pMMR CRC [n = 485]. CRC risk was compared to population-based controls [n = 3,119] and late-onset sporadic CRC patients from UK Biobank [LOS-CRC; n = 781] using multivariable logistic regression and Cox models.PRS was significantly increased in all risk groups compared to population controls. [...]
Detailed record - Similar records
|
2026-04-14 14:30 |
Detailed record - Similar records
|
|
|