How to more efficiently study complex treatment interactions
Reports and Proceedings
Updates every hour. Last Updated: 24-Sep-2025 02:11 ET (24-Sep-2025 06:11 GMT/UTC)
A new experimental design framework could enable scientists to efficiently estimate how combinations of interventions will affect a group of cells, reducing the cost of experiments and providing less biased data that could be used to understand disease mechanisms or develop new treatments.
NIST has released full genomic data from a pancreatic cancer cell line. This is the first cancer cell line developed from an individual who consented to making their genomic data publicly available, marking a historic counterpoint to the story of Henrietta Lacks, whose cancer cells were used without her knowledge or consent. Researchers can use the new cell line and data to develop tests and therapies for pancreatic and other types of cancer.
A positive response to therapy in a paediatric patient with a renal rhabdoid tumour has enabled researchers to identify immune cells with anti-tumour activity in this rare cancer, which affects roughly of 12 children per year in Spain and has an extremely low survival rate.
After receiving chemotherapy and radiotherapy, the patient also began immunotherapy with immune checkpoint inhibitors (ICI), a treatment that boosts the ability of lymphocytes to recognise and combat tumour cells.
For more than a year, researchers from the Centro Nacional de Análisis Genómico (CNAG), the Institute for Research in Biomedicine of Barcelona (IRB Barcelona) and Sant Joan de Déu Children´s Hospital, closely monitored the evolution of the patient’s immune system in blood samples.
The results, published in Annals of Oncology, show how cutting-edge sequencing technologies can be used to detect tumour-reactive immune cells in different tissues, particularly in blood, and how these insights could contribute to the development of personalised immune therapies.