Cracking the code for organ-specific drug delivery
Peer-Reviewed Publication
Updates every hour. Last Updated: 31-Jul-2025 05:11 ET (31-Jul-2025 09:11 GMT/UTC)
Drug sensitivity analysis is crucial for precision cancer therapy. We developed CPADS, a web tool integrating transcriptomic data from 29,000+ samples (44 cancers, 288 drugs, 9,000+ gene perturbations). It enables differential expression, pathway, drug, and gene perturbation analyses with interactive visualization. CPADS aids researchers in exploring drug resistance mechanisms at gene/pathway levels. Access: https://smuonco.shinyapps.io/CPADS/ or https://robinl-lab.com/CPADS.
We developed THER, a web tool integrating 63 hypoxia-related tumor transcriptomic datasets, enabling differential expression, expression profiling, correlation, enrichment, and drug sensitivity analyses. It helps identify valuable biomarkers, further reveal the molecular mechanisms of tumor hypoxia, and identify effective drugs, thus providing a scientific basis for tumor diagnosis and treatment. Experimental verification showed hypoxia reduces tumor cell sensitivity to chemotherapy drugs. Accessible at https://smuonco.shinyapps.io/THER/.
In a ground-breaking analysis, researchers have examined global safety databases to reveal increased risks of secondary primary malignancies following CAR-T cell therapy. These findings not only support recent FDA warnings but identify age-specific patterns showing younger patients face earlier onset of secondary cancers.
Researchers at the National Institutes of Health (NIH) have shown for the first time that a type of human papillomavirus (HPV) commonly found on the skin can directly cause a form of skin cancer called cutaneous squamous cell carcinoma (cSCC) when certain immune cells malfunction. cSCC is one of the most common cancers in the United States and worldwide. Previously, scientists believed HPV merely facilitated the accumulation of DNA mutations caused by ultraviolet (UV) radiation, usually the primary driver of cSCC. The findings were published today in The New England Journal of Medicine.
This review synthesizes current knowledge on the triggers and characteristics of T cell senescence in the tumor microenvironment (TME), elucidates how senescent T cells interact with other immune cells, and assesses the impact of these cells on tumor prognosis. In addition, this review systematically examines targeted therapeutic strategies aimed at mitigating the detrimental effects of T cell senescence on cancer treatment.
Researchers tested a large language model (LLM) on peer review tasks for cancer research papers. They found the AI could be abused to generate highly persuasive rejection letters and other fraudulent reviews, such as requests to cite unrelated papers. Crucially, current AI detection tools were largely unable to identify the AI-generated text, posing a significant, hidden threat to academic integrity.
The objective of this study is to assess the diagnostic performance of image analysis-capable generative AI (Gen-AI) (GPT-4-turbo, Google DeepMind's Gemini-pro-vision, and Anthropic’s Claude-3-opus) in interpreting CT images of lung cancer. This is the first study to integrate the diagnostic capabilities of these three models across distinct imaging settings. Additionally, a Likert scale is used to evaluate each model's internal tendencies. By examining the potential and limitations of multimodal large language models (MM-LLMs) for lung cancer diagnosis, this research aims to provide an evidence-based foundation for the future clinical applications of Gen-AI.
Cancer-associated fibroblasts (CAFs) create immune-dampening environments that help tumors grow, yet paradoxically, specific CAF subtypes can boost anti-tumor immunity. This review reveals how CAF heterogeneity explains conflicting immunotherapy outcomes and proposes precision strategies to target "bad" CAFs while preserving beneficial ones.
Researchers decode how liver fibrosis progresses to cancer, identifying key cellular drivers and signaling pathways. The review highlights promising biomarkers for early detection and novel therapeutic targets to disrupt this lethal process.