BOLD-100/KP1339 is a ruthenium-based anticancer agent that has been co-developed at the University of Vienna and which has shown promising results in clinical trials in cancer patients. However, the mode of action of this metal compound has not yet been fully elucidated. Researchers from the University of Vienna and the Medical University of Vienna have now been able to demonstrate that BOLD-100…
Tumour metabolism can be imaged with MRI as a technique to help determine cancer aggressiveness and response to therapy. The work by a UK-based group, on probing cancer metabolism non-invasively with clinical hyperpolarised carbon-13 MRI, can detect metabolic changes in the tumour. As metabolic changes occur much earlier than change in tumour size, this could have implications for quicker…
An international research group led by the University of Basel has developed a promising strategy for therapeutic cancer vaccines. Using two different viruses as vehicles, they administered specific tumor components in experiments on mice with cancer in order to stimulate their immune system to attack the tumor. The approach is now being tested in clinical studies.
A radiotherapy technique which ‘paints’ tumours by targeting them precisely, and avoiding healthy tissue, has been devised in research led by the University of Strathclyde. Researchers used a magnetic lens to focus a Very High Electron Energy (VHEE) beam to a zone of a few millimetres. Concentrating the radiation into a small volume of high dose will enable it to be rapidly scanned across a…
Researchers at the Universitat Autònoma de Barcelona obtained a highly accurate recreation of human glioblastoma’s features using a novel 3D microscopy analysis. The study, published in the journal Acta Neuropathologica Communications, provides new information to help with the diagnose, by finding therapeutical targets and designing immunotherapeutical strategies.
Working with colleagues from Germany and the US, researchers at Leipzig University have achieved a breakthrough in research into how cancer cells spread. In experiments, the team of biophysicists led by Professor Josef Alfons Käs, Steffen Grosser and Jürgen Lippoldt demonstrated for the first time how cells deform in order to move in dense tumour tissues and squeeze past neighbouring cells. The…
With two commercially available inhibitors, the cell cycle of the cancer cells in neuroblastomas can be disrupted at a key point causing tumour cell death. Neuroblastomas are malignant solid tumours that occur mainly in early childhood. They arise from degenerated immature cells of the sympathetic nervous system. One prognostic marker to assess the malignancy of the tumour is the MYCN oncogene.…
A deep learning model to predict RNA-Seq expression of tumours from whole slide images was among the industry innovations outlined at the 7th Digital Pathology and AI Congress for Europe. Created by French-American start-up Owkin, the detail of how the company’s HE2RNA model provides virtual spatialization of gene expression was detailed to online delegates by senior translational scientist…
Researchers at Massachusetts General Hospital (MGH) in Boston have developed a novel blood test using an enhanced form of liquid biopsy capable of detecting the most common types of genetic mutations that occur in glioma brain tumors. The test is easy to use, inexpensive, produces results rapidly, and can be performed in most clinical laboratories. The researchers believe that the blood test has…
Hologic, Inc. has completed the acquisition of Somatex Medical Technologies GmbH, a leader in biopsy site markers and localization technologies, for approximately $64 million. The company was previously owned by E-Med Solutions GmbH, Berlin, a group of investors led by German private equity company Westlake Partners.
Colon cancer stem cells have one weak spot: the enzyme Mll1. An MDC team led by Walter Birchmeier has now shown in Nature Communications that blocking this protein prevents the development of new tumors in the body. Since colonoscopies were introduced in Germany for early cancer detection, the number of diagnoses of advanced cancer every year has decreased, as precancerous lesions can now be…
A software tool to predict the most effective therapy for non-small cell lung cancer (NSCLC) developed by applying deep learning artificial intelligence (AI) to positron emission tomography/computed tomography (PET/CT) images has been developed by researchers at H. Lee Moffitt Cancer Center and Research Institute in Tampa, Florida. The tool is designed to provide a noninvasive, accurate method to…
Tumours with the same biology have different prognoses based on their method of detection, and this information should be taken into account when deciding which treatments might be needed, a Dutch researcher explained at the 12th European Breast Cancer Conference.
In order to analyze tumors, they have to be cut into thin slices. Now, a new technology has been developed that makes pieces of the tumor visible in 3D without cutting them.
Research led by Barts Cancer Institute (BCI), Queen Mary University of London, has revealed novel insights into the mechanisms employed by melanoma cells to form tumours at secondary sites around the body. The findings from the study may help to identify new targets to inhibit melanoma spread and guide treatment decisions in the clinic.
Researchers have found a surprising effect of the stem cell-regulating growth factor R-spondin in intestinal cancer.
Spatial analytics offers greater clarity in the assessment of tumours beyond routine microscopic analysis. High-capacity digital image analysis enables new methods of spatial statistics to extract features not immediately distinguishable by visual inspection. These subvisual features reflect complex properties, such as intratumour heterogeneity and have the additional benefit that they can target…
Neuroradiologist Dr Sofie Van Cauter described the challenges to brain tumour image segmentation during the European Society of Medical Imaging Informatics (EuSoMII) annual meeting in Valencia. She also outlined how, when clinically validated, AI could help tackle such problems. The WHO classification of brain tumours has come a long way since first introduced in 1979. The 2016 classification was…
To answer medical questions that can be applied to a wide patient population, machine learning models rely on large, diverse datasets from a variety of institutions. However, health systems and hospitals are often resistant to sharing patient data, due to legal, privacy, and cultural challenges. An emerging technique called federated learning is a solution to this dilemma, according to a study…
