Researchers have developed a new kind of tumour-on-a-chip, which gives insight into the tumour environment and immunotherapy response. The device has been successfully tested on breast cancer samples.
Persister cells arise as a result of cancer treatment and are often responsible for tumour relapse. Researchers identified a distinctive feature of persister cells, paving the way for new treatments.
“What is a tumour?” Researchers explore tumour architecture as a valuable source of information to understand tumour dynamics and predict its sensitivity to anticancer drugs.
A new deep learning model shows promise in detecting and segmenting lung tumors. The findings of the study could have important implications for lung cancer treatment.
Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery.
A new study measured how well breast cancer patients’ tumour ‘explants’ respond to chemotherapy or HER2 antibody therapy in the laboratory. This could help improve clinical outcomes.
A new personalised oncology platform has been tested to detect circulating tumour DNA (ctDNA) in patients with lung adenocarcinoma before surgery, to predict their risk of cancer relapse.
Why does radiation therapy kill cancer cells from the same tumour in different ways? This has long remained poorly understood. Now, new findings open up opportunities to improve treatment.
A new radiotracer – an injected compound used in PET scans – could help inform doctors that a patients aggressive cancer will not respond to chemotherapy before treatment is given.
Tumors in female fruit flies grow significantly larger than in male ones, a new study finds. The findings could lead to a better understanding of how the biological sex impacts cancer development.
Research offers new insights into harnessing the immune system to combat ovarian cancer. The findings could lead to personalized therapies that target the right patients at the right time.
A new MRI-based imaging technique predicts the response of ovarian cancer tumours to treatment, and rapidly reveals how well treatment is working, in patient-derived cell models.
Precise segmentation of anatomical structures greatly benefits cancer diagnosis. Using AI and deep learning methods, researchers are developing a high-precision 3D viewer software for medical image data.
A new study shows how inherent variations in a cancer cell and its interactions with its surroundings mould its migration. The findings provide valuable insights into the processes behind metastasis.
A new approach to fight glioblastoma: Swiss researchers have now developed an immunotherapy that not only attacks the brain tumor—it also turns its microenvironment against it.
A ‘mini-protein’ can deliver radiation doses directly to tumours without harming healthy tissues. The approach shows promise for the treatment of metastatic bladder cancer and other tumours.
New insights into metastasis: Scientists created a 3D-printed model to mimic the specific conditions that spur the spread of cancer cells. This could help discover new screening and treatment options.
Insulinomas are benign tumors in the pancreas, but can still cause problems for patients. A new imaging technique reliably detects these previously hard-to-find tumors, according to recent research.
A new study found that measuring circulating tumor cells (CTCs), rare cancer cells shed from tumors into the blood, is a reliable way to predict later treatment response and survival prospects with metastatic prostate cancer.
By combining mass spectrometry and mass cytometry imaging techniques, researchers can now dive deeper into tumors and map the metabolism of individual cells in tumor tissue.
Scientists at the University of Geneva (UNIGE) and the Geneva University Hospitals (HUG) have developed CAR-T cells capable of targeting malignant gliomas while preserving healthy tissue.
Researchers have succeeded in identifying patterns of response to treatment in patients with multiple myeloma using AI tools, which helps to accurately predict the evolution of the tumor.
Currently, it is difficult to predict whether a cancer patient will respond to immunotherapy or not. A new method to quantify the heterogeneity of the tumour microenvironment aims to improve this.
To diagnose neuroblastoma in children, lengthy scans and anaesthesia are often required. A new PET/CT imaging technique could deliver faster results without sedation for the paediatric patients.
Researchers at MIT and ETH Zurich developed an AI model that identifies certain breast cancer stages likely to progress to invasive forms of cancer.
