View clinical trials related to Precancerous Lesion.
Filter by:One of the limitations of organized cervical screening in the Czech Republic is the lack of participation in preventive gynecological examinations. The aim of the project is to evaluate the benefits of self-sampling for HPV DNA in general practitioners' outpatient clinics to improve population participation in cervical screening.
Colorectal cancer (CRC) has become one of the most common malignant tumors in the world, and the key to its prevention and control is early detection and treatment. As colorectal adenoma and inflammatory bowel disease (IBD) are the inevitable precursors of most CRC, screening for colorectal adenoma and IBD is of great importance for preventing CRC. The existing detection methods have high sensitivity for CRC, while limited in colorectal adenoma and IBD. Therefore, exploring a detection method with high sensitivity for colorectal adenoma and IBD is necessary. This project intends to use methylation detection technology, lactic acid modified omics, proteomics, metagenomics, and other omics technology, through the analysis of differences in feces and histological results in healthy volunteers, patients with non-advanced adenoma, patients with advanced adenomas, patients with IBD, and patients with CRC for early screening.
In oncology, the search for genetic alterations or infectious agents in tumour tissues has become a major medical challenge for diagnosis, prognosis, prediction of response to treatment and in particular to targeted therapies, or for the biological monitoring of the disease. Over the last ten years, the development of new molecular biology tools based on high-throughput technologies has enabled us to revisit our conceptions of the development and natural history of cancers. The use of these tools has also allowed the dismemberment of numerous cancerous pathologies according to their molecular etiologies and oncogenetic histories. These new molecular biology tools have thus contributed to the emergence of so-called personalised or precision medicine.
Pepsinogens (PGs) can be used for gastric cancer (GC) screening, but the cutoff levels vary among studies, and PG levels are influenced by numerous factors. To examine the diagnostic value of PG levels and Helicobacter pylori (Hp) status for GC and precancerous lesions screening in asymptomatic individuals undergoing health checkup in China.
Based on the gastric cancer database established earlier, this project explored the PG standard suitable for Chinese people, and further explored the establishment of machine learning model to stratify gastric cancer risk in the population, guide the frequency of gastroscopy screening, and extract important gastric cancer risk factors from it.Establish electronic health records of gastric organs, track the development and outcome of gastric diseases through deep learning method, in order to predict the development and outcome of gastric diseases;Then, the simulation hypothesis deductive method is used to compare the outcomes that may be caused by different lifestyles with the help of deep learning model, so as to guide patients to develop a better lifestyle and explore the establishment of health management paths for gastric cancer patients and high-risk groups in China.
To explore the associations among bile acid profile, bile acid-microbiota cross-talk and the development of gastric cancer, so as to better prevent the occurrence and development of gastric cancer