Liver Carcinoma

The Vanguard Study is a feasibility study to explore several aspects of evaluating multi-cancer detection (MCD) tests in a future definitive randomized controlled trial. An MCD test measures markers in the blood in order to screen for multiple cancers simultaneously. There is a need to understand how MCDs may work as cancer screening tools. The goal of cancer screening is to reduce the burden of cancer by identifying cancers before they show symptoms or signs, when treatment is likely to be most effective. In this study, adults aged 45-75 without cancer will be randomly assigned to one of 3 groups: 2 separate MCD test groups or a control group. These two MCD tests will not be compared to each other but will be compared to cancers detected in the control group. This study will provide early information on how well MCD tests perform as cancer screening tools. It will also help researchers understand how patients and their doctors make decisions about their care when the MCD test result comes back as normal (negative) or abnormal (positive).

The aim of this project is to investigate the effect of triple prehabilitation led by nutritional optimization in liver cancer patients' surgery. It improves the preoperative nutritional status of cancer patients, reduces the incidence of early postoperative complications, promotes postoperative recovery, and improves the quality of patients' survival. Patients were randomized into experimental and control groups based on exclusion and inclusion criteria. Nutritional interventions and exercise and psychological interventions for patients. Routine clinical blood tests will be performed at the time of enrollment, on the first day before surgery and on the first, third and fifth days after surgery. Enrolled patients were followed up by telephone or outpatient clinic at 1 month postoperatively.

The purpose of the CCANED-CIPHER study is to develop and validate an AI-based blood test for early cancer detection and to monitor treatment effectiveness in cancer patients. This two-phase, multi-center observational study aims to identify specific transcriptomic biomarkers in platelets and immune cells that distinguish cancer patients from healthy individuals and correlate with treatment outcomes. By analysing blood samples using artificial intelligence, the study seeks to create a safe, non-invasive method to enhance cancer diagnosis and monitor treatment responses over time.