Where you have rectal cancer surgery may affect whether the cancer comes back
Peer-Reviewed Publication
Updates every hour. Last Updated: 22-Jun-2026 05:15 ET (22-Jun-2026 09:15 GMT/UTC)
Having surgery for rectal cancer at a hospital accredited by the National Accreditation Program for Rectal Cancer was associated with a significant reduction in cancer remaining at the edges of the tumor site, compared to having the same surgery at a non-accredited hospital.
Researchers at the Francis Crick Institute have revealed that sensory nerve signals interfere with the immune system’s response to lung cancer. This previously unrecognised neuroimmune connection could be targeted to improve responses to immunotherapy.
Researchers at McGill University have discovered a centuries-old genetic mutation that helps to explain why some French‑Canadians in Quebec are at an elevated risk of pancreatic cancer. Until quite recently, standard genetic tests have not been able to identify this “jumping gene” cause.
The findings, published in the Journal of Medical Genetics, suggest better-targeted genetic testing could help identify people at higher cancer risk who were previously missed.
A research paper by scientists at Hangzhou Dianzi University presented a HER2+ breast cancer response prediction model based on hierarchical tissue specific modeling of pathological images.
The research paper, published on Apr 22, 2026 in the journal Cyborg and Bionic Systems.
A research paper by scientists from Southern University of Science and Technology developed a near-infrared (NIR) light-activated biomimetic nanomotor for targeted nitric oxide (NO) delivery and synergistic cancer therapy.
The new research paper, published on Apr. 24 in the journal Cyborg and Bionic Systems, developed a new light‑activated nanomotor platform combines photothermal therapy, chemodynamic therapy, and nitric oxide (NO) gas therapy in one tiny, tumor‑hunting vehicle.
As AI is being widely tested in medicine, scientists at the University of Auckland, Auckland City Hospital, and Matai Medical Research Institute in New Zealand have analyzed the current landscape of AI models for meningioma (a cancer of the brain’s soft cover) segmentation from MRI scans, and its path ahead. Their key finding is that advanced model architecture has considerably contributed to tumor detection sensitivity, rather than data characteristics, imaging modalities, or preprocessing.