A graphic model of the VRC01 antibody

An anti-HIV antibody called VRC01 does not protect people from acquiring HIV, according to findings from the Antibody-Mediated Prevention (AMP) Trials. 

Closeup of a plastic model of lungs

While the link between certain conditions and cancer risk, such as tobacco smoke exposure and lung cancer, has been firmly established, for other conditions, the association and the biological mechanisms behind them remain murky.

To this end, the Frederick National Laboratory for Cancer Research (FNL) and Louisiana State University (LSU) Health Sciences Center New Orleans recently launched a new public health research effort to better understand the effects of obesity, diabetes, and metabolic syndrome on the risk, incidence, and outcomes of patients with lung cancer.

Researchers are launching a new project aimed at understanding vaginal transmission of HIV and examining what happens in the earliest stages of infection in people with a cervix, who represent about one-fifth of new cases each year. 

A graphic image of a biological structure

Results of a recent study suggest how two oncogenic proteins—KRAS and RAF kinase—interact, and the structure of this protein-protein complex provides a blueprint for designing new inhibitors that could help prevent RAS-driven cancers. 

A photo of a man standing in front of a natural background

Victor Ssempijja remembers there being many fatherless households in his hometown in Uganda during his childhood. In fact, he says he could count the number of complete families on just his fingers. The other fathers had died of HIV and associated complications. 

“I actually grew up thinking that men were not supposed to live long,” he said. 

Binary code shaped like a brain with the word CEM500K in text to the side

A data set doesn’t sound like a flashy scientific advance, but that impression belies a concept with the potential to enable eye-catching science. 

A blue head formed from a digital pattern

Used successfully in several industries, digital twins have the potential to forge a path toward advances in cancer care and research. By melding computational science with the field of medicine, scientists aim to use digital twins to ultimately predict the effect of new therapies on cancer patients by using computer models without harming actual humans.  

Scientist stands in front of a machine

Two scientists and their colleagues have uncovered a key activity driving a rare and deadly type of kidney cancer called hereditary leiomyomatosis and renal cell carcinoma (HLRCC). 

Their study explains how altered metabolism “rewires” these cancer cells, allowing them to be more aggressive and malignant. 

Researchers from the Sequencing Facility and Biomedical Informatics and Data Science Directorate at the Frederick National Laboratory (FNL) collaborated with the U.S. Food and Drug Administration (FDA) and other research centers across the U.S. to conduct a benchmark study establishing best practices for high-throughput single-cell RNA sequencing.  

Chest CT scans

Publicly available data sets related to COVID-19 are appearing in an unexpected place—the Cancer Imaging Archive (TCIA), a project of the Division of Cancer Treatment and Diagnosis of the National Cancer Institute.