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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 14,299 clinical trials
D Dazhi Xu, MD., PhD,

Early Detection and Post-operative Monitoring of Gastric Cancer

This study is to determine the performance of non-invasive new multi-target biomarkers in the early detection and post-operative monitoring of gastric cancer.

18 years of age All Phase N/A
A Andrea Salonia, MD

Bank of Biological Material From Patients and Healthy Donors for the Study of Urological and Uro-oncological Pathologies

The project aims to collect fresh biological material derived both from surgical resections performed in diseases, neoplastic and otherwise, of urological relevance at the level of the prostate, bladder, kidney, testicle and genitourinary organs, and from peripheral blood or other fluids biological samples such as urine, seminal fluid, buccal mucosa, …

18 years of age All Phase N/A
E Erik von Seth, MD, PhD

Registry for Advanced Endoscopy

Observational registry including endoscopic diagnostic and therapeutic interventions in the gastrointestinal tract

18 years of age All Phase N/A
Z Zhen Li, PhD

Shanghai Ovarian Cancer and Family Care Project

Ovarian cancer is the most lethal gynaecological malignancy, but its incidence in the general population is low. Due to the lack of effective prevention and successful screening approaches, most cases are diagnosed at advanced stages, leading to poor prognosis. In order to address the research requirements pertaining to ovarian cancer, …

18 years of age Female Phase N/A
P Peng Peng

New Serum Biomarkers for Monitoring Early Diagnosis of Ovarian Cancer Recurrence

In this study, mass spectrometry was used to analyze immune inflammation-related protein complexes, post-translational modified glycopeptide omics and tumor-related metabolomics in serum, respectively, in order to find potential metabolic small molecule biomarkers or marker profiles that can be used for early diagnosis of cancer recurrence.

20 - 70 years of age Female Phase N/A

Non-interventional Study to Collect Real-world Clinical and Patient-reported Outcomes in Ovarian Cancer

This prospective non-interventional study is intended to generate new data and insights into first-line (1L) treatment of newly diagnosed advanced high-grade epithelial Ovarian cancer (OC) in Germany relevant for patients, physicians and payers. It will capture the influence of 1L Poly ADP ribose polymerase inhibitor (PARPi) maintenance treatment (MTX) on …

18 - 130 years of age Female Phase N/A
C Camilla Nero, PhD

PREDICTION OF GERMLINE BRCA 1/2 GENES FROM HEALTHY OVARIES

The project aims at enhancing performance metrics and prospectively validating a radiogenomics model based on ovarian US images for predicting germline breast cancer susceptibility gene 1 and/or 2 (BRCA) status in women with healthy ovaries. The project is divided in two operational phases: Retrospective phase AIM 1: To define and …

years of age Female Phase N/A
S Stefania Boccia

Evaluation of Polygenic Risk Score for Epithelial OVarian cancEr Risk Prediction: the PROVE Study

The goal of this observational study is to evaluate whether polygenic risk score (PRS) assessment can help predict the onset of epithelial ovarian cancer in women aged over 18, comparing those with a histologically confirmed diagnosis of epithelial ovarian or fallopian tube cancer (cases) to women with no personal history …

18 years of age Female Phase N/A
R Rachel I Vogel, PhD

UNTOLD Ovarian Cancer Unmet Needs Survey

The goal of this study is to comprehensively measure ongoing concerns and unmet needs of individuals living with ovarian cancer. To accomplish this, the UNderstanding The experience of Ovarian cancer - Life after Diagnosis (UNTOLD) study will be conducted using a mixed-methods approach. Ovarian cancer survivors will be enrolled to …

18 years of age Female Phase N/A
C Camilla Panico

Mesenteric Infiltration in Ovarian Cancer

To evaluate if CT features at diagnosis in patients with HGSOC can be used to build an Artificial Intelligence model capable of discerning the pathological involvement of the mesentery, assessing the potential impediments for an optimal debulking surgery and predicting the development of resistance to platinum based chemotherapeutic agents.

18 years of age Female Phase N/A

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