Active clinical trials for "Neoplasm Metastasis"

In most cases of malignancies, the site of origin of the cancer is clear at presentation or identified soon after. However, Metastatic cancer of unknown primary site (MUO) accounts for 3-5% of all malignant neoplasms, and it is defined as metastatic cancer from an unknown primary site, for which no original site can be detected even after performing all possible tests. Most common metastatic sites include the liver, lymph nodes, lungs, and bones. 18F-fluoro-2-deoxyglucose positron emission tomography (FDG-PET) allows whole-body tumor detection and has proven to be useful in patients with metastasis of unknown primary tumor.

Breast cancer is a malignant tumor with the highest morbidity and mortality among women worldwide. Accurate staging of axillary lymph nodes is critical for metastatic assessment and decisions regarding treatment modalities in breast cancer patient. Among patients who underwent sentinel lymph node biopsy, about 70 % of the patients had negative pathological results and in other words, these 70 % of the patients received unnecessary surgery. At present, imaging and pathological diagnosis is the main measure of lymph node metastasis in breast cancer. However, limitations remained. Artificial intelligence, including deep learning and machine learning algorithms, has emerged as a possible technique, which can make a more accuracy prediction through machine-based collection, learning and processing of previous information, especially in radiology and pathology-based diagnosis. With the intensification of the concept of precision medicine and the development of non-invasive technology, the investigators intend to use the artificial intelligence technology to develop a serum and tissue-based predictive model for sentinel lymph node metastasis diagnosis combined with imaging and pathological information, providing specific, efficient and non-invasive biological indicators for the monitoring and early intervention of lymph node metastasis in patient with breast cancer. Therefore, the investigators retrospectively include serum samples from early breast cancer patients undergoing sentinel lymph node biopsy, including a discovery cohort and a modeling cohort. Metabolites were detected and screened in the discovery cohort and then as the target metabolites for targeted detection in the modeling cohort. Combined with preoperative imaging and pathological information, a prediction model of breast cancer sentinel lymph node metastasis based on serum metabolites would be established. Subsequently, multi-center breast cancer patients will prospectively be included to verify the accuracy and stability of the model.

The goal of this study is to create a data registry to capture clinical, pathologic, and molecular data/outcomes for patients with metastatic colorectal cancer who undergo live donor liver transplantation.

The purpose of this study is to collect prostate cancer tissue from males with metastatic prostate cancers in order to study the tumor microenvironment (TME), which is the area surrounding the tumor including cells, blood vessels, etc., in men with metastatic prostate cancer. The type of research performed on these tissue samples include genetic & molecular analyses.

The project aims to compare the histopathological and molecular characteristics of tumour tissue from metastases with similar analyses of the primary tumour in the lung, where it is available. The investigators will therefore perform analysis of blood samples if possible, to identify predictive markers in blood samples.

The aims of this study are to collect prospective data on the natural history of bone metastases (BMs) and skeleta related events (SREs),

It has well accepted that tumor angiogenesis present aberrant vascular architecture and functional abnormalities, which is associated with tumorigenesis, tumor propagation and progression. By locating, separating and tracking microbubbles, the recently introduced and upgraded Ultrasound Localization Microscopy (ULM) surpassed classical wave diffraction limit. However, the acquisition of structural and functional parameters of microcirculation in vivo for ULM is still confined by the compromise between the resolution and penetration depth. The relatively long acquisition time induced the difficulty of motion correction potentially, which hampers the preclinical to clinical application in organs with distinct tissue motion such as the liver. Therefore, we take the lead in studying human liver lesion microvasculature, which remains a challenge for noninvasive, quantitative and functional intravital imaging especially due to its deep-seated location and strong motion. We developed a Super-resolution Ultrasound (SR-US) imaging technique based on ULM to assess its feasibility of visualizing and quantifying microvasculature in human organs.

Bone metastases represent a frequent complication of some solid tumours, particularly prostate, breast and lung carcinomas. Bone metastases can cause pain and give rise to the so-called "Skeletal-related Events" (SRE) such as pathological fractures and nerve compression. Despite advances in cancer treatment in general, treatment options for bone metastases remain inadequate and generally palliative. It is therefore necessary to identify patients at "high risk" of developing metastases at an early stage of neoplastic disease in order to counteract it. Therefore, the identification of changes in the expression of proteins that could be variously involved in the progression of breast cancer is of primary importance since they could act as prognostic factors and therefore address the therapeutic strategy. The aim of the investigators is to clarify the role of de-regulation of post-translational events (such as SUMOylation) in the progression of breast cancer.

Background: Primary or secondary brain tumors (metastases) remain associated with a very poor prognosis linked to significant therapeutic resistance. Thus, glioblastoma, which is the most common and aggressive primary brain tumor in adults, is associated with inevitable relapses within 7 to 10 months and median survival of approximately 12 to 14 months. At the same time, brain metastases are increasingly increasing following better systemic control of other metastatic sites and improvement in detection methods. However, they remain resistant to the latest therapeutic innovations such as immunotherapies or targeted therapies. In this context, innovative strategies are necessary to identify new therapeutic targets and implement new treatments to overcome resistance phenomena in the clinic. Objective: Our goal will be to generate tumoroids and stem-like cell lines (PDX) from patient tumor samples. Methods: We will establish tumor tumoroids and stem cell lines from patient samples. These preclinical models will allow us to test a large number of drugs, quickly and efficiently thanks to models as close as possible to patient tumors and limiting the use of animal models (3R). Overall, this project should enable major advances in the treatment of glioblastoma and brain metastases and enable the rapid testing of new molecules in clinical trials thanks to the homology of our models with our patients' diseases.

The goal of this observational study is to make us more aware of the short and long-term outcomes for women having an uncomplicated healing process after a rupture or birth cut in the perineum after giving birth in relation to a healing process with a dehisced wound treated with conservative management or secondary suturing. Participants will be asked to do A gynecological examination at one month after birth and 9-12 months after birth. Have a picture taken of the healing process Answer a questionnaire at one month, three months, and 9-12 months after birth