Add BrightSurf on Google Email

UNC researchers awarded up to $10M to leverage data science to accelerate cancer diagnosis and optimize delivery of precision oncology

A team of UNC-Chapel Hill researchers will develop an oncology health learning system using AI-ready data to generate real-time identification of new cancer cases and support personalized treatments. The project aims to improve cancer diagnosis, care equity, and quality by creating accessible tools for health providers.

Curbing plastics pollution could help reduce global burden of breast cancer

A new study suggests that addressing plastic pollution could play a critical role in lowering breast cancer rates. Researchers identified nearly half of the chemicals linked to breast cancer risk as being used in plastics, including 175 potential carcinogens that should be prioritized for regulatory action.

SourceSilent Spring Institute·JournalEnvironmental Science & Technology Letters·TypeData/statistical analysis·DateNov 29, 2024

Cancers grow uniformly throughout their mass

Researchers discovered that cancer grows uniformly throughout its mass, with every region equally active and potentially harboring aggressive mutations. This finding challenges the traditional 'two-speed' entity model of tumors, where rapidly dividing cells on the surface and slower activity in the core were thought to exist.

Clinical trial finds that adding the chemotherapy pill temozolomide to radiation therapy improves survival in adult patients with a slow-growing type of brain tumor

A randomized phase 3 trial found that adding temozolomide to radiation therapy improves long-term survival for adult patients with low-grade gliomas. The 10-year survival rate was 70% with combined treatment, compared to 47% with radiation alone.

SourceECOG-ACRIN Cancer Research Group·JournalJournal of Neuro-Oncology·DateNov 25, 2024

Labeling cell particles with barcodes

Researchers at the University of Tokyo have developed a new CRISPR-based system to label small extracellular vesicles (sEVs) with RNA barcodes, enabling comprehensive analysis of their biogenesis and release regulators. This system allows for the simultaneous study of thousands of genes and estimation of sEV release from host cells.

SourceUniversity of Tokyo·JournalNature Communications·TypeExperimental study·DateNov 19, 2024

Researchers develop ramanome-based metastatic assessment index to enhance cancer metastasis prediction

Researchers developed a novel Ramanome-based Metastasis Index to rapidly and accurately assess cancer cells' metastatic potential. The tool combines single-cell Raman spectra with machine learning, providing a comprehensive molecular profile of cancer cells and highlighting lipid-related peaks as key determinants.

‘Moonlighting’ enzymes can lead to new cancer therapies

Researchers have discovered that metabolic enzymes play a crucial role in maintaining the integrity of the human genome by orchestrating critical functions like cell division and DNA repair. This discovery could lead to new cancer therapies, particularly for triple-negative breast cancer, by exploiting its metabolic vulnerabilities.

SourceCenter for Genomic Regulation·JournalNature Communications·TypeExperimental study·DateNov 12, 2024

High-tech tracking technology streamlines drug discovery

Researchers have developed a large-scale drug screening technique that tracks drug targets inside cells, allowing for the identification of potential new drugs. The technology screens candidate drugs 100 times faster than standard manual techniques, enabling the discovery of previously unknown drugs.

SourceOsaka University·JournalNature Communications·DateOct 31, 2024

People’s exposure to toxic chemicals declined in the U.S. following listing under California law

A study found that levels of toxic chemicals in people's bodies decreased both in California and nationwide following the listing of over 850 chemicals under Proposition 65. This decline suggests that the law has led to widespread reformulation of products, reducing exposure to harmful substances.

SourceSilent Spring Institute·JournalEnvironmental Health Perspectives·TypeData/statistical analysis·DateOct 29, 2024

Scientists create cancer patients’ ‘digital twins’ to predict how well treatments may work

Researchers have developed a technology called FarrSight-Twin that creates digital twins of real cancer patients to predict treatment response. The approach was tested on published clinical trials and showed accurate predictions in all simulated studies, with 75% response rate among patients receiving the predicted best treatment.

SourceEuropean Organisation for Research and Treatment of Cancer·TypeComputational simulation/modeling·DateOct 24, 2024

Tiny tumor model recreates cancer metastasis

Researchers created a 3D-printed model to mimic the conditions that spur cancer cells' spread, allowing them to visualize this process in real-time. The model revealed a mechanism where low oxygen levels promote metastasis through lowering pH levels.

SourceNew York University·JournalLife Science Alliance·TypeMeta-analysis·DateOct 23, 2024

Highly-stabilized and selective inhibitor for cancer-causing enzyme revealed

Researchers at the Hebrew University of Jerusalem have developed a highly selective inhibitor for Matrix Metallopeptidase 7 (MMP7), an enzyme crucial for cancer spread and progression. The novel peptide D'20 demonstrates remarkable stability and selectivity, targeting MMP7 while leaving similar enzymes unaffected.

SourceThe Hebrew University of Jerusalem·JournalAngewandte Chemie·TypeExperimental study·DateOct 15, 2024