Nanoparticles revolutionize breast cancer diagnosis and treatment: A leap forward in oncology research
Peer-Reviewed Publication
Updates every hour. Last Updated: 11-Jul-2025 23:11 ET (12-Jul-2025 03:11 GMT/UTC)
A review in MedComm–Biomaterials and Applications highlights how nanoparticles are revolutionizing breast cancer diagnosis and treatment. These advanced nanomaterials enhance early detection, reduce side effects, and combat drug resistance, offering promising solutions for aggressive subtypes like triple-negative breast cancer.
A research team from The University of Osaka has made a significant breakthrough in cancer radiotherapy by identifying conditions under which carbon ion beams—delivered at ultra-high dose rates (uHDR)—can protect normal cells. This phenomenon, known as the “FLASH effect,” could revolutionize cancer treatment by reducing side effects and improving patients’ quality of life.
This new Kids First data creates a fuller understanding of how genetics contributes to childhood cancers and congenital disorders, opening additional doors for prevention and treatment.
In a study recently published by researchers at Fox Chase Cancer Center, patients being treated for retroperitoneal sarcoma at multiple facilities experienced longer delays between diagnosis and treatment and traveled farther to receive treatment, but their overall survival rates were equivalent to patients receiving nonfragmented care.
A new treatment approach significantly improves survival rates for patients with aggressive, inherited breast cancers, according to Cambridge researchers. In a trial where cancers were treated with chemotherapy followed by a targeted cancer drug before surgery, 100% of patients survived the critical three-year period post-surgery.
Medulloblastoma is the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes. To delineate the metastatic microenvironment, researchers in China have developed an explainable machine learning model that identifies key immune cells and cytokine markers linked to tumor dissemination and prognosis. Their model offers a transparent, data-driven approach that could help clinicians better assess risk and personalize treatment for children with this life-threatening disease.
IRB Barcelona researchers have developed a new computational tool that tracks the evolutionary shifts in selection pressure during tumorigenesis and chemotherapy.
Using more than 8,500 cancer whole-genome sequences, the team identified 11 cancer driver genes linked to chemoresistance to specific anticancer drugs.
The study has been published in the journal Nature Communications.