Publications database

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. [...]

Gene fusions generated by chromosomal rearrangements function as oncogenic drivers in human cancers. We previously showed that EWSR1-ETS oncofusions of Ewing sarcoma (EwS) directly induce surface expression of IL1 receptor accessory protein (IL1RAP), which along with limited expression in healthy tissues except placenta nominate IL1RAP as a promising EwS immunotherapy target. [...]

Quantitative 177Lu-SPECT allows for patient specific dosimetry, but due to the limited spatial resolution absorbed doses (AD) can be underestimated. Implementation of the Lucy-Richardson deconvolution (LRD) algorithm for spill-over correction in PET has been investigated. [...]

Meningiomas are the most common type of primary intracranial tumour. Histopathology-based WHO grading remains the standard for guiding management in most institutions, although new molecularly driven classification tools have been shown to improve prognostic accuracy and could guide personalized management decisions. [...]

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. [...]

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. [...]

Despite advances in defined culture systems, current organoid models lack programmable control of transcriptomic states beyond fixed genetic constraints or broadly specific microenvironmental conditions. Here, a bottom-up biomaterial-based platform is introduced to program cell state changes in pancreatic cancer organoids by tuning minimal adhesion cues within a synthetic matrix. [...]