Scientists uncover an enzyme that boosts cancer cell metabolism to fuel growth. The enzyme, GUK1, supports metabolism in cancer cells to help tumors grow.
Tag: Lung Cancer
AI accurately identifies targetable alterations in lung cancer histological images
DeepGEM, an artificial intelligence (AI)-based model, accurately predicts the presence of key genomic alterations in histological slides prepared from samples obtained from patients with lung cancer. This approach provides a cost-effective alternative to genomic testing, generates spatial mutation maps and might support personalized treatment strategies. Validated in diverse datasets, DeepGEM highlights the potential of AI… Continue reading AI accurately identifies targetable alterations in lung cancer histological images
FOxTROT: is anti-EGFR a good dancing partner?
The introduction of neoadjuvant (pre-surgery) therapy represented a paradigm shift in the treatment approach of many localized solid tumors, such as rectal cancer, breast cancer and gastroesophageal tumors. The advantages of a neoadjuvant strategy are both local and systemic, including a potential shrinkage of the primary tumor and increased chances of a complete oncological surgery,… Continue reading FOxTROT: is anti-EGFR a good dancing partner?
New screening device shows promise for early lung cancer detection
Scientists have created a new low-cost, fast response sensor to detect lung cancer biomarkers, paving the way for the development of screening devices to spot the disease even before symptoms occur. Similar in design to glucose monitoring devices, the sensor provides results from a blood sample in just 40 minutes. The technology has the potential… Continue reading New screening device shows promise for early lung cancer detection
Computer model helps identify cancer-fighting immune cells key to immunotherapy
Researchers have developed a computer model to help scientists identify tumor-fighting immune cells in patients with lung cancer treated with immune checkpoint inhibitors.
Researchers develop model to identify tumor-fighting immune cells in lung cancer patients
Researchers at the Johns Hopkins Kimmel Cancer Center and Bloomberg~Kimmel Institute for Cancer Immunotherapy have developed a computer model to help scientists identify tumor-fighting immune cells in patients with lung cancer treated with immune checkpoint inhibitors. In their study published Feb. 3 in Nature Communications, the team, including first author Zhen Zeng, Ph.D., a bioinformatics… Continue reading Researchers develop model to identify tumor-fighting immune cells in lung cancer patients
[ASAP] Identification of a Potent and Selective CDK9 Degrader as a Targeted Therapeutic Option for the Treatment of Small-Cell Lung Cancer
Varying Skin Prick Test Reactivity Frequencies across Dog Epithelium, Acetone Precipitated Dog and Dog Ultrafiltered Extracts
From the Bench, Winter 2025: Urine-powered Nanomotors, Organoid Muffin Tins, and More
Our winter edition of From the Bench, our quarterly blog series showcasing creative basic science approaches to study cancer, is chock full of inspiring new advances to keep you warm until spring. This installment includes muffin tin-like molds to grow organoids with various shapes, an artificial intelligence (AI) model akin to “ChatGPT for genomes,” a… Continue reading From the Bench, Winter 2025: Urine-powered Nanomotors, Organoid Muffin Tins, and More
AI boosts efficacy of cancer treatment, but doctors remain key
A new study shows that artificial intelligence (AI) can help doctors make better decisions when treating cancer. However, it also highlights challenges in how doctors and AI work together. The study focused on AI-assisted radiotherapy for non-small cell lung cancer and hepatocellular carcinoma (liver cancer).