Deaths from cancer are currently estimated at 10 million each year worldwide. Conventional cancer staging systems aim to categorize patients into different groups with distinct outcomes. ‘However, even within a specific stage, there is often substantial variation in patient outcomes,’ Markus Plass, academic researcher from the Medical University of Graz, Austria, explained to Healthcare in…
Renal cell carcinoma is among the fifteen most common cancers worldwide. Dr Titus Brinker, from the German Cancer Research Center (DKFZ), looked at whether a convolutional neural network (CNN) can extract relevant image features from a typical H&E-stained slide to predict 5-year overall survival.
Clinical management of soft tissue sarcoma is particularly challenging. Dr Sebastian Foersch, researcher at the Institute of Pathology at the University Medical Center in Mainz, Germany, has used a deep learning model for diagnosis and prognosis prediction of soft tissue sarcoma using conventional histopathology slides.
The tall cell variant (TCV) is an aggressive subtype of papillary thyroid carcinoma (PTC). Sebastian Stenman, researcher from the Institute for Molecular Medicine, and the Department of Pathology at the University of Helsinki, Finland, is developing and training a deep learning algorithm using supervised learning to detect and quantify the proportion of tall cells in PTC.
As more genomic alterations become targets for therapy, health institutions and hospitals are creating specialist Molecular Tumour Boards to support better decision-making for patient care. This evolving team, and its role, was highlighted in a presentation at the 34th European Congress of Pathology in Basel, Switzerland.
What if a test analysing cervical cells from a gynaecological swab could be used to detect four different female cancers at an early stage and also predict cancer risk over a healthy woman's lifetime? Researchers at the EUTOPS Institute in Innsbruck, Austria, are developing tests to do just that for breast, ovarian, cervical, and endometrial cancer detection.
Pancreatic cancer tumours are being missed on CT and MRI scans, narrowing the window for life-saving curative surgery, research presented at UEG Week 2022 has revealed.
Researchers propose a new approach to identify cancerous tissue for surgical removal, based on real-time imaging of tissue oxygen concentration.
A randomized study shows colonoscopy screening reduces the risk of colorectal cancer by 18 percent. The reduction is much smaller than experts previously assumed.
Researchers in Munich have developed a novel model system that can be used to precisely track the growth steps and three-dimensional arrangement of pancreatic cancer cells.
Scientists in Italy discovered a new drug-resistance mechanism in breast cancer that leads to the formation of cancer stem cells. They also devised an experimental therapy to bypass or prevent this.
Cambridge scientists have discovered that cancer cells ‘hijack’ a process used by healthy cells to spread around the body, completely changing current ways of thinking around cancer metastasis.
The oncogene EVI1 causes an aggressive type of leukemia, but its exact function has been a mystery. A research team now showed that EVI1's cancer causing effect relies on activating a single gene — the stem cell transcription factor ERG.
Cancer – one word that turns the patients’ world upside down. In addition to uncertainty and fear, they often face an unnerving series of exams and treatments. With its new One-Stop Clinic concept, GE Healthcare now wants to help make this journey as smooth as possible. At a single location, in an environment designed for comfort, the patients undergo all necessary steps within a short period…
Alveolar rhabdomyosarcoma is a rare pediatric tumor. For more than 40 years there has not been any new development regarding treatment. Research led by Prof. Dr. Anton Henssen at Charité University Berlin has now identified a new therapeutic option, using a drug that is currently under investigation for other types of cancer.
A new study led by researchers in Barcelona has determined the protein TIMP-1 as a valuable biomarker for the progression of lung adenocarcinoma. The results open the door to new treatments.
Machine learning and artificial intelligence (AI) have the potential to transform cancer treatment management worldwide. Their ability to rapidly analyse and integrate routinely acquired diverse data will improve the accuracy and effectiveness of precision medical treatments.
Researchers from the University of Bern and Inselspital provide an overview of the latest technologies in precision oncology. Translating these into clinical application is still a major challenge.
Researchers discovered that cancer cells mobilize a SOS response when they are desperate to resist anticancer drugs. The team also came up with an anti-SOS approach that blocked the mechanism in mice.
Two-dimensional (2D) cultured cell lines and animal models have been the principal research tools for the past decade, but have several shortcomings. Three-dimensional cell cultures, or organoids, show great promise here.
The interplay between the patient’s BMI, tumour size and cancer-specific proteins is of importance for the prognosis of breast cancer, a study from Sweden shows.
A surprising mechanism explains why high-grade gliomas, the deadliest form of brain cancer, returns: The tumours adapt to treatment by recruiting help from nearby healthy tissue.
A considerable proportion of patients suffering from cancer of unknown primary (CUP) could benefit from comprehensive molecular analysis and molecularly-informed targeted therapies.
Researchers from the UK and Sweden have found that individual prostate tumours contain a previously unknown range of genetic variation.
Development of effective live bacterial therapeutics may depend more on using and re-introducing native microbes that can stick around than how the microbes are modified.