Neoplasms Clinical Trials
A listing of Neoplasms medical research trials actively recruiting patient volunteers. Search for closest city to find more detailed information on a research study in your area.
Found 14,196 clinical trials
A Study of Early Cancer Detection in People at High Risk of Developing Pancreatic Ductal Adenocarcinoma (PDAC)
The purpose of this study is for researchers to find ways of detecting pancreatic ductal adenocarcinoma/PDAC early to avoid the invasive procedure of surgery. The study researchers think a combination of imaging and a series of blood tests may be an effective way to detect PDAC early. In this study, …
Evaluation of Quality of Life and Self-assurance and Social Support Earned for Non-cellular Head Cancer
Research objectives: To evaluate the quality of life of patients before and after surgery for benign head tumors ( meningiomas) and malignant tumors at stage I, II and III, to assess whether it depends on the size of the tumor, type of tumor, malignancy and its location evaluation of the …
The Effects of Metabolic & Bariatric Surgery on Lipid Metabolism, Myeloid-Derived Suppressor Cells, and Cancer Cell Biology
This study aims to determine the relationship between lipid kinetics changes and blood immunosuppressive cells by metabolic surgery in two patient cohorts.
Multi-omic Approach to Study HDR Brachytherapy for Favorable Risk and Low Tier Intermediate Risk Prostate Cancer
This is an observational single-center trial for patients with localized prostate cancer suitable for High Dose Rate (HDR) brachytherapy as monotherapy. This study takes a multi-omics approach to study the mechanism of action of HDR brachytherapy through metabolomics, immunological, transcriptomics, and spectroscopic profiling. The results of this study will clarify …
Predicting Immunotherapy Response and Survival of Liver Cancer Patients Using Artificial Intelligence and Radiomics (Radiology-AI-Liver)
CT imaging data and MR imaging data from liver cancer (hepatocellular carcinoma) patients prior to the initiation of immunotherapy (and possibly also after treatment) will be collected. The processing pipeline includes automatic tumor segmentation, radiomics feature extraction, feature selection, and construction of a classification model.
The True Face of the Pyramid; Physical Activity Level and Cardiovascular Risk in Patients With Breast Cancer
Cardiovascular disease (CVD) is the leading cause of morbidity and mortality worldwide. Many risk factors are thought to be important in the development of CVD; however, some risk factors can be controlled. Regular physical activity (PA) is recommended for the entire population for the primary prevention of CVD. PA and …
Small Extracellular Vesicle miRNAs as Predictive Biomarkers for Immunochemotherapy Efficacy in Extensive-stage Small Cell Lung Cancer
This study aims to investigate the clinical value of small extracellular vesicle (sEV) miRNAs as predictive biomarkers for immunochemotherapy efficacy in extensive-stage small cell lung cancer (ES-SCLC). ES-SCLC represents a highly aggressive neuroendocrine malignancy, where the current standard first-line treatment combining immune checkpoint inhibitors with chemotherapy lacks predictive biomarkers for …
An Integrated Algorithm for Surgical Intervention in Chronic Lymphedema After Breast Cancer Treatment: The Basel Lymphedema Protocol
The primary objective of the investigators is to develop an integrated algorithm for surgical treatment of chronic lymphedema after breast cancer surgery. This will be achieved by retrospectively analysing a subgroup of patients who had breast cancer-related surgery prior to lymphedema.
The Value of 68Ga-FAPI PET/CT in Preoperative Evaluation of Thyroid Cancer with Lymph Node Metastases
This study aims to investigate the value of 68Ga-FAPI in the preoperative evaluation of thyroid cancer of different pathologic types.
Ultrasensitive SERS Platform With Highly Efficient Enrichment of Analyte for Screening and Diagnosis of Epithelial Ovarian Cancer
This project is an open, single-center, prospective study aimed at developing high-sensitivity, high-specificity enrichment SERS chips using femtosecond laser processing technology. It involves extracting information from blood samples of ovarian cancer patients and normal controls, specifically identifying cancer and non-cancer signals. The study will construct a statistical algorithm model for …
