A comprehensive multi-cohort study reveals elevated COL1A2 expression in gastric cancer, detailing its modest prognostic contribution, stromal associations, and computational ...
Researchers have identified mitochondrial protein SAMM50 as an independent prognostic factor and driver of aggressive tumor behavior in hepatocellular carcinoma.
A large multi-cohort analysis shows that T cell receptor repertoire diversity declines in an accelerated, nonlinear fashion after age 50, ...
A consensus machine learning approach integrating single-cell and spatial transcriptomics identifies nucleolin (NCL) as a functional marker of R-loop-associated malignant ...
A retrospective study of 165 surgically treated patients found that machine-learning analysis of whole-slide images linked CD8-positive immune-cell density, Foxp3-positive ...
A comprehensive Heliyon benchmark of 16 survival prediction methods and 12 feature engineering strategies across three radiomic datasets finds that ...
A comprehensive systematic review of 49 pre-treatment cohorts identifies circulating protein signatures, including inflammatory markers and T-cell activation ligands, that ...
A newly released open-access R package called matrans makes parameter-transfer learning based on frequentist model averaging accessible for building cancer ...
Researchers in China have shown that the transcription factor GLIS3 drives gastric cancer progression by binding to the PNPO promoter ...
A meta-analysis of 17 studies finds that Helicobacter pylori infection is associated with worse overall and progression-free survival in cancer ...
St. Jude scientists and collaborators built a comprehensive single-cell dataset and patient-derived models to identify a malignant mesenchymal cell population ...
Researchers in Guangzhou built a machine-learning model that combines MRI radiomics and clinical variables to predict lymphovascular invasion in gastric ...
In an era where precision medicine is of utmost importance, a groundbreaking study led by Feng et al. addresses the ...
