In a new study published in Science Bulletin, researchers from West China Hospital of Sichuan University present the largest human T cell reference for 68 subtypes and states, alongside STCAT, an automated annotation tool achieving 28% higher accuracy than existing methods. Their systematic analyses reveal T cell subtype dynamics in cancer and COVID-19, offering a valuable resource for the community. They also develop a TCellAtlas database for browse T cell expression profiles and analyzing customized scRNA-seq data by STCAT tool.

Researchers from the Endocrine Tumours group at the Germans Trias i Pujol Research Institute (IGTP), in collaboration with five university hospitals, have conducted the first comprehensive study of DNA methylation patterns in metastatic differentiated thyroid cancer (DTC). Published in the journal Thyroid, the study identifies an epigenetic signature comprising 156 CpG sites in primary tumours that could help stratify patients according to their risk of developing distant metastases.

In recent years, cell therapies have developed alongside chemotherapy and immunotherapy to become a new pillar in the treatment of patients with blood and lymph gland cancer. In solid tumors, such as skin, lung, or bone and soft tissue cancer (sarcomas), they have not yet proven themselves as a treatment method. Tumor shrinkage was achieved only in rare cases, but the side effects were all the more severe. An international research group led by scientists from the National Center for Tumor Diseases (NCT/UCC) in Dresden has now succeeded for the first time in a phase 1 clinical trial in testing a novel cell therapy approach that also shows promise for solid tumors. The results were now published in the renowned journal Nature Medicine.

A colon cancer screening program that offered flexible options doubled colorectal cancer screening rates, cut cancer incidence by a third, halved deaths, and brought racial differences in outcomes to nearly zero, according to a study to be presented at Digestive Disease Week (DDW) 2025.

An interdisciplinary research team from the LKS Faculty of Medicine of the University of Hong Kong (HKUMed), the InnoHK Laboratory of Data Discovery for Health (InnoHK D24H), and the London School of Hygiene & Tropical Medicine (LSHTM) has unveiled the world’s first artificial intelligence (AI) model designed to classify both the cancer stage and risk category of thyroid cancer, achieving impressive accuracy exceeding 90%. This innovative HKUMed AI model promises to significantly cut frontline clinicians’ pre-consultation preparation time by approximately 50%, aligning with the HKSAR Government’s initiative to harness AI technology in healthcare. The findings were published in the journal npj Digital Medicine.