Endometrial Cancer Clinical Trials
A listing of Endometrial Cancer medical research trials actively recruiting patient volunteers. Search for closest city to find more detailed information on a research study in your area.
Found 265 clinical trials
ESPERANZA: External Control Arm Study for T-DXd for Patients With HER2 IHC3+ Solid Tumors
In DESTINY-Pan-Tumor [DP-02], DESTINY CRC02 [DC-02], and DESTINY-Lung01 [DL-01], T-DXd demonstrated tumor response across a broad range of HER2-expressing solid tumors, particularly IHC3+ patients. This study will use real-world data (RWD) to identify IHC3+ patients in the real world who received standard of care (SoC) and compare them with IHC3+ …
ORACLE: Observation of ResiduAl Cancer With Liquid Biopsy Evaluation
The purpose of ORACLE is to demonstrate the ability of a novel ctDNA assay developed by Guardant Health to detect recurrence in individuals treated for early-stage solid tumors. It is necessary that ctDNA test results are linked to clinical outcomes in order to demonstrate clinical validity for recurrence detection and …
Avera/Sema4 Oncology and Analytics Protocol
The purpose of this study is to understand the breadth of molecular characteristics present in participants cared for in a large integrated, community-based health care system. Using comprehensive genomic profiling and proteomics, the investigators seek to identify the underlying genomic drivers of premalignant or malignant conditions in participants across different …
A Study on the Prevalence of Clinically Useful Mutations in Solid Tumor Characterized by Next Generation Sequencing Methods on Liquid Biopsy Analysis (POPCORN)
The implementation of liquid biopsy in clinical practice has been favored by the rapid development of genome sequencing techniques designed to analyze mutations in ctDNA. Among these, the Next generation sequencing (NGS) is a technique that consists in sequencing several genomes in a short time span, collecting information about a …
INSPIRE: a Multi-Cancer Early Detection Study
This research constitutes a multi-centric, case-control designed investigation aimed at developing and implementing a blinded validation of a machine learning-powered, multi-cancer early detection model. This is to be achieved through the prospective collection of blood specimens from newly diagnosed cancer patients and individuals devoid of a confirmed cancer diagnosis
cfDNA Assay Prospective Observational Validation for Early Cancer Detection and Minimal Residual Disease
This is an observational case-control study to train and validate a genome-wide methylome enrichment platform to detect multiple cancer types and to differentiate amongst cancer types. The cancers included in this study are brain, breast, bladder, cervical, colorectal, endometrial, esophageal, gastric, head and neck, hepatobiliary, leukemia, lung, lymphoma, multiple myeloma, …
SYNERGY-AI: Artificial Intelligence Based Precision Oncology Clinical Trial Matching and Registry
International registry for cancer patients evaluating the feasibility and clinical utility of an Artificial Intelligence-based precision oncology clinical trial matching tool, powered by a virtual tumor boards (VTB) program, and its clinical impact on pts with advanced cancer to facilitate clinical trial enrollment (CTE), as well as the financial impact, …
Integrated Cancer Repository for Cancer Research
The iCaRe2 is a multi-institutional resource created and maintained by the Fred & Pamela Buffett Cancer Center to collect and manage standardized, multi-dimensional, longitudinal data and biospecimens on consented adult cancer patients, high-risk individuals, and normal controls. The distinct characteristic of the iCaRe2 is its geographical coverage, with a significant …
Molecular and ctDNA Characterization of High-Risk Endometrial Cancer
This study seeks to better understand the recurrence of high-risk endometrial cancer. It will collect information about cancer genetics to find out various hereditary or cancer specific genetic variants that may have a role in diagnosis or management and prognosis of cancer. It also seeks to develop a genetic results …
Non-Invasive Identification of Endometrial Cancer/Endometrial Atypical Hyperplasia With an AI-Based Classifier Applied to Transvaginal Ultrasound in Patients With Post-Menopausal Bleeding
This study evaluates if AI can be used with transvaginal ultrasound images for early detection of endometrial cancer or premalignant lesions.
