Active clinical trials for "Carcinoma, Hepatocellular"

Tumor micronecrosis is a pathological feature that reflects malignant biological behavior in hepatocellular carcinoma (HCC). This study aimed to evaluate the prognostic significance of tumor micronecrosis based on the current BCLC and TNM staging systems, and futher improve the performance of the staging models by establishing modified new staging models including tumor micronecrosis.

Based on the follow-up data of elderly donation after cardiac death(DCD) donor liver transplant recipients from the CLTR, a database and official website for national data gathering. patients who met the enrollment criteria were screened for postoperative complications and survival for statistical analysis to understand the prognosis of patients and analyze the risk factors affecting their prognosis.

This is a French multicentric retrospective study on intention-to-treat comparing results of LT for HCC before and after the use of the AFP score. The investigators hypothesis is a better respect of the Biomedicine Agency (the French national transplantation agency) criteria since the general application of this score in March 2013. The aim of this study is to determine if the tumoral characteristics at the time of LT are improved and if it modified the patients'outcome.

This study is looking at the feasibility of performing frailty assessments on patients with advanced hepatocellular cancer.

Hepatocellular carcinoma is the sixth most common malignancy and the third most common cause of cancer-related death worldwide. The incidence of HCC is rising in Europe and the United States and is expected to continue to increase during the next 2 to 3 decades. The expected survival rate is still decimal, especially in patients with advanced HCC. However, in recent years, several treatment methods for patients with advanced HCC, including antiangiogenic chemotherapy, radiotherapy, concurrent chemoradiotherapy, and DC bead transarterial chemoembolization, have been developed. Among these new treatment methods, concurrent chemoradiotherapy has also proved to increase patient's survival rate. It is important to predict treatment response before treatment or immediately after treatment because there are several other treatment options as mentioned above. Recently, there have been several reports that MR perfusion parameters such as Ktrans can predict treatment response in cervical cancer and colorectal cancer. Therefore the purpose of the investigators study is to evaluate the feasibility of predicting treatment response by MR perfusion, contrast enhanced ultrasound parameters and biomarkers (IL-6, IL-12 and VEGF) in patients with advanced hepatocellular carcinoma who undertake concurrent chemoradiotherapy.

Hepatocellular carcinoma (HCC)is the most frequent primitive tumour of the liver. Recently, several research studies reported that 11C-choline PET has shown a high detection rate of well differentiated HCC, which is an early stage of primary liver cancer. The aim of this study was to prospectively evaluate the diagnostic accuracy of 11C-choline PET-CT to detect HCC in cirrhotic or non cirrhotic patients.

Hepatocellular carcinoma is an aggressive disease with limited therapeutic options. Therefore, new approaches to treat this type of cancer are needed with immunotherapy potentially being one of these. As a first step in the development of novel therapies, expression analysis of specific markers, including tumor antigens will be carried out, and the correlation of expression with disease variables and clinical outcome will be assessed. This will be done retrospectively using archived hepatocellular carcinoma tissue samples.

Hepatocellular carcinoma (HCC) is one of the tumors with an increasing incidence worldwide. Often treatment possibilities are limited and only palliative treatment such as a transarterial chemoembolisation (TACE) is possible. Therapeutic response is evaluated three months after TACE by imaging techniques (CT, MRI). In some HCC patients the tumor marker AFP ( alpha-fetoprotein) is elevated, but not all patients show this elevation. In the last years new tumor markers such as AFP-L3 (subfraction of AFP) and des-y-carboxyprothrombin (DCP) have been examined. In this clinical trial the course of these markers are examined after TACE in order to receive hints if the patient will be a therapeutic responder. Furthermore the investigators are interested in the quality of life after TACE. Patients receive a questionnaire with regard to the quality of life before and 3 months after TACE.

Within community with high incidence of HCC, stretching the limits could be justified based on tumor characters and its biological behavior

The project is based on a case-control study including cirrhotic patients with (200 cases) and without (400 controls) Hepatocellular carcinoma. The determination of sample sizes in proteomic or spectroscopic studies has to be adapted to the high dimensional setting. The proteomic analysis will be conducted by Clinical Innovation Proteomic Platform of Dijon. Two approaches will be used in the proteomic study: A global approach based on the comparison of proteomic spectra profiles obtained after mass spectrometry analysis (MALDI-TOF). The particularity of this study with regard to previous studies is : the procedures used to purify the sub proteomes (Five automated methods including depletion fractionation and purification will be applied), the qualification of the generated data with the introduction of quality controls, the high number of samples included in the study. The second approach BIA-MS (Biomolecular interaction analysis mass spectrometry) is targeted approach allows the capture, quantification and characterization of proteins. The quality controls allow to quantify the various variability sources and to validate that biological variability is higher than technical variability. All the samples will be treated and analyzed with the same protocols, 100 samples will be used to validate the marker and statistical models developed after analysis of the first 500 samples. The infra-red spectroscopy analysis will be conducted by MéDIAN team, CNRS UMR 6237 of Reims university. The first 300 samples after feature selection reference spectra, are classified into different classes by means of mathematical classification methods such as multivariate statistical processes of pattern recognition, neuronal networks, support vector machines and methods of case-based classification or machine learning, genetic algorithms or methods of evolutionary programming. The analysis of a second set of samples (300) will validate the different mathematical classification methods developed. In the global study the investigators will unravel the relationship between proteomic, spectroscopic and metabolic/nutritional data. The description of these relationships will use canonical analysis and multi-block analysis in a more general extent. The goal of these methods is to explore relationships that may exist between several groups of quantitative variables observed on the same set of individuals.