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.
Immunotherapy has become the most promising strategy for treating several cancers, but its effectiveness is still very uneven. Three researchers explain how research is being done to change this.
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.
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.
A newfound molecule, called ACBI3, could potentially lead to new therapies against hard-to-treat cancers, improving outcomes for all patients with cancers caused by KRAS mutations.
A bit more mucus in the nose, a little less air in the gut: Even small changes can be important when planning proton therapy against cancer. A new workflow allows for an adapted irradiation every day.
STAb-T, a new form of immunotherapy to treat solid tumours shows therapeutic potential in animal models with non-small cell lung cancer. The new strategy is designed to strengthen the defensive cells.
Only 20-40% of patients respond positively to immunotherapy, and these rates vary across different types of cancer. Researchers now identified five key factors that determine response and survival.
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.
Researchers have identified fibrotic scarring as a key source of resurgence of glioblastoma multiforme (GBM). The new insights could lead to better prevention of this type of brain cancer.
A US-Swiss team leverages AI and molecular simulations to uncover new pathways for precision cancer treatments, paving the way for more effective, personalized therapies.
Researchers propose the use of molecular ‘cages’ (made of pseudopeptides) to selectively eliminate cancer cells in acidic microenvironments. This could help reduce side effects from chemotherapy.
Researchers have developed an artificial intelligence which can differentiate cancer cells from normal cells, as well as detect the very early stages of viral infection inside cells.
The time of day can be an important aspect to consider for cancer therapy. Researchers from Charité are developing new methods to use the internal clock inside tumor cells to optimize treatments.
Artificial intelligence (AI) can be used to great effect in colonoscopies to spot abnormalities potentially leading to bowel cancer. This is the result of the recently completed COLO-DETECT trial.
Can a mouthwash-based test help predict head and neck cancer recurrence? A new study suggests it might.
When a person is diagnosed with rectal cancer, part of the bowel is often removed, often resulting in the need for a stoma or problems with bowel control. A new therapy could help avoid this surgery.
A new method could lead to a significantly more precise and reliable diagnosis of pancreatic cancer. It is based on the selective detection of specific antibodies in blood samples.
Women whose Fallopian tubes are removed during sterilization have only marginally more surgical complications than those whose tubes are simply cut, a study shows.
Can a look at a patient's DNA predict progress of their colorectal cancer? Findings from a new study could lead to improved possibilities for individualised therapies.
Metastases, but no sign of the original tumor: A large international study shows how this phantom cancer can nevertheless be treated.
Researchers discovered islands of highly potent immune cells in the vicinity of glioblastomas. This may open up prospects for new therapies for these aggressive brain tumours.
Researchers at MIT and ETH Zurich developed an AI model that identifies certain breast cancer stages likely to progress to invasive forms of cancer.
Researchers have discovered an Achilles heel of migratory metastatic cells: They now investigate how the cell death mechanism ferroptosis can be utilized for future cancer treatments.
