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 14,180 clinical trials
Spatial Radiogenomics of Ovarian Cancer
The biological spatial and temporal heterogeneity of High Grade Serous Ovarian Carcinoma (HGSOC) severely impacts the effectiveness of therapies and is a determinant of poor outcomes. Current histological evaluation is made on a single tumour sample from a single disease site per patient thus ignoring molecular heterogeneity at the whole-tumour …
ChemoINTEL Assay Algorithm Development Study: In-Vitro Cytotoxic Drug Induced Apoptosis Correlation with Patient Clinical Response to Administered Chemotherapy in Patients
This is a prospective, non-randomized, observational, clinical development study. Pierian Biosciences is utilizing ChemoINTEL and ImmunoINTEL assay measurements in human tumour cells from patients with advanced stage epithelial ovarian cancer (EOC) to develop a mathematical algorithm which will be able to predict a patient's tumour's sensitivity to specific chemotherapy drugs. …
Observational, Bi-directional (Prospective and Retrospective) Study for Patients With Newly Diagnosed Ovarian Cancer Stages IA to IVB, or Persistent or Recurrent Disease From January 2021; Irrespective of Histology
The findings from this study have the potential to serve as a foundation for evaluating the current practices related to surgical procedures, systemic therapies, hyperthermic intraperitoneal chemotherapy, and referrals to geneticists for OC patients. By identifying the strengths and weaknesses of the existing care, this project intends to generate valuable …
The Prognostic Value of the Degree of Pathological Response of Induction Chemotherapy for NPC
This study aims to explore the prognostic value of pathological remission after one cycle of induction chemotherapy in locally advanced nasopharyngeal carcinoma, and the change of immune micro-environment after one cycle induction chemotherapy, including the density of immune cells infiltration and tertiary lymphoid structures.
Diagnosis of Pancreatic Cancer by Purine Metabolite (Hypoxanthine, Xanthine) in Urine
This study aim to develope a diagnostic method of pancreatic cancer by using a reagent for analyzing purine metabolite (Hypoxanthine, Xanthine) in urine. It is safe and cost effective compare to radiologic or blood test. It can be used for initial screening test for healty population.
Cancer-associated Cachexia in Patients With Incurable Gastroesophageal Cancer
Patients with incurable gastroesophageal cancer are at high risk of cancer cachexia with an estimated prevalence of 60-80%. Cancer cachexia is defined as ongoing loss of skeletal muscle mass with or without loss of fat mass and is associated with impaired quality of life, loss of physical function, treatment intolerability, …
CTNNA1 Familial Expansion Study
The goal of the CAFÉ Study is to determine the cancer risks associated with germline CTNNA1 loss-of-function variants.
PROM Project Urology
All patients undergoing urological surgery or treatment should receive standardized questionnaires on quality of life, satisfaction, pain and physical recovery. Indication-specific, individual pathways are set up, for example, for patients with localized prostate cancer, benign prostate enlargement, bladder dysfunction or erectile dysfunction. In combination with the clinical data, the PROM …
Characterization of Biophysical and Mechanical Parameters on Skin of Breast Cancer Patients
Aim of this study is to characterize the chemical/physical and structural parameters of the skin in patients with breast cancer undergoing oncological adjuvant treatment in order to understand how to prevent and manage adverse skin events during hormone therapy, also through the formulation of new functional dermocosmetics.
Construction of a Deep Learning-Based Precise Diagnostic Framework for Bladder Tumors Using Ultrasound: A Multicenter, Ambispective Cohort Study
This study aims to develop an ultrasound image-based deep learning system to enable automatic segmentation, T-staging, and pathological grading prediction of bladder tumors. It seeks to enhance the objectivity, accuracy, and efficiency of bladder cancer diagnosis, reduce reliance on physician experience, and provide support for precision medicine and resource optimization.
