Carcinoma Clinical Trials
A listing of Carcinoma medical research trials actively recruiting patient volunteers. Search for closest city to find more detailed information on a research study in your area.
Found 6,163 clinical trials
A Study of Sigvotatug Vedotin in Advanced Solid Tumors
This trial will look at a drug called sigvotatug vedotin (SGN-B6A) alone and with pembrolizumab, with or without chemotherapy, to find out whether it is safe for people who have solid tumors. It will study sigvotatug vedotin to find out what its side effects are. A side effect is anything …
Liquid Biopsy Evaluation and Repository Development at Princess Margaret
The objective of this protocol is to develop an institution-wide liquid biopsy protocol that will establish a common process for collecting blood and corresponding archived tumor specimens for future research studies at the University Health Network's Princess Margaret Cancer Centre. Circulating cell-free nucleic acids (cfNA), including cell-free DNA (cfDNA) and …
Validation of RCC Predicting Model With Emulated-target Trial
This single-center study utilizes real-world data (2012-2024) from 4700 renal cell carcinoma (RCC) patients at Peking University Third Hospital to: (1) Develop and validate a prognostic prediction model specifically for RCC patients, including those with venous tumor thrombus (VTT); (2) Compare the performance of this new model against existing RCC …
Discovering New Targets for Colorectal and Endometrial Cancer Risk Reduction
The primary aim of this study is to collect and store data, tissue, and personal and family histories from patients being screened for colorectal cancer and/or endometrial cancer at NYPH and WCM for routine clinical care and to make these available for future use for molecular and mechanistic studies.
"Xijiang Project" Screening Cohort for NPC
The purpose of this study is to establish a comprehensive and integrated nasopharyngeal carcinoma screening cohort, which includes an epidemiological information database containing basic information, gender, age, ethnic and family history, dietary and lifestyle habits, and geographical environmental factors; a biobank of blood, tissue fluid, swabs, etc., for Epstein-Barr virus, …
MRI Guided Radiotherapy and Radiobiological Data: the ISRAR Database (Irm Sequences for Radiobiological Adaptative Radiotherapy)
The MRI linac Unity is a major technological evolution in radiotherapy combining a linear accelerator with a 1.5T MRI (radiological quality). It allows to target the target volume more precisely and to adapt the daily dose distribution according to variations in the position and volume of the tumor, critical organs …
Predicting Cancer Risk With Digital and Molecular Markers
The goal of this study is to identify new markers to predict the risk of developing cancer, primarily breast cancer. For this purpose, researchers will compare data obtained from cancer patients and healthy individuals. If characteristic differences are identified, e.g. in biomarkers, life style or family history, this may indicate …
INSIGHT-PCa: MRI- and PHI-Guided Risk-Adapted Strategy for Prostate Cancer Diagnosis
To develop postoperative stratification treatment for patients who have received induction chemotherapy and immunotherapy in locally advanced head and neck cancers. Risk stratification is based on clinical characteristics and pathological responses. In order to achieve no inferior survival rate and a lower treatment-related toxicity rate than the standard treatment.
A Study of Metastases Free Survival With Saruparib vs Placebo Added to a Standard RT/ADT in Men With High-risk Prostate Cancer With a BRCA Mutation
The purpose of the study is to demonstrate superiority of Saruparib (AZD5305) relative to placebo added to a standard radiation therapy (RT) + androgen deprivation therapy (ADT) regimen by assessment of metastases-free survival in participants with high-risk and very high-risk localised/locally advanced prostate cancer with a breast cancer gene mutation …
Validation of a Machine Learning Model Based on MR for the Prediction of Prostate Cancer
The goal of this observational study is to validate a clinically significant predictive machine learning model based on the processing of images RMmp (Multiparametric Magnetic Resonance Imaging). To be validated the model should be evaluated on: Specificity (SP): is the probability of a negative test result, conditioned on the individual …
