Uterine Neoplasms Clinical Trial
Official title:
Multiparametric Magnetic Resonance Imaging and Metabolomics Approaches to Study Biomarkers for Uterine Malignancy
The aims of this project are: (1) To establish a research platform in order to integrate multiparametric imaging and metabolomics data for uterine malignancy. (2) Identify potential surrogate biomarkers for early diagnosis of endometrial cancer by using multiparametric magnetic resonance imaging and metabolomics approach. (3) To develop surrogate biomarkers for uterine malignancy, in detecting tumor involvement of myometrium, cervix, and lymph nodes. The investigators propose a 3-year research project to prospectively collect data from 150 female patients 20-80 years old, with clinically diagnosed or suspected to have uterine malignancy. An additional control group comprising 30 patients with normal endometrial tissue will be enrolled. Robust magnetic resonance (MR) imaging techniques including MR spectroscopy (MRS), diffusion-weighted imaging and chemical exchange saturation transfer (CEST) imaging will be applied. Biological samples (tissue, blood, urine) will be analyzed by detailed metabolomics approach (high-resolution MRS).
In the 1st year part of this project, the investigators aim to identify the differences
between normal endometrium and cancer tissue. Standard conventional MR study plus MRS,
diffusion-weighted imaging and CEST sequences will be carried out on 30 eligible surgical
candidates for pretreatment clinical assessment.Metabolites in cancer tissue will be
collected during operation and analyzed using high resolution MRS, and compared with control
group. The primary endpoint of this part is to identify different imaging and metabolomic
profiles between normal and cancer subjects. In the 2nd year, the investigators will continue
accumulate case number, in order to evaluate the diagnostic accuracy of advanced MR imaging
and metabolomics biomarker, in prediction of T staging and myometrial involvement. By the end
of 3rd year, the investigators will collect 150 patients, with approximately 20 cases with
cervical invasion and 20 cases with nodal metastasis, in order to answer how this approach
predicts cervical stromal involvement, nodal and distant metastasis.
The clinical importance of this project is answer the most relevant questions, i.e.,
prediction of tumor involvement of myometrium, cervix, and lymph nodes. This will be
important for understanding the background mechanism of changes identified by MR and
18-F-2-fluoro-2-deoxy-D-glucose fluorodeoxyglucose (FDG) /PET, in order to develop novel
imaging biomarkers or therapeutic targets. Both molecular imaging and metabolomics are
complimentary and share similarities: (1) Comprehensive data representing the information of
the living system as a whole (2) information rich data which reflecting the complexity of the
biological system (3) ease for longitudinal observation. Metabolomics data provides more
details on biochemistry whilst imaging data provides more spatial localization details. A
combination of imaging and metabolomics approach would be an ideal tool to develop biomarkers
for uterine malignancy. By completion of this project, the investigators expect the most
important metabolic biomarkers will be established, and potentially serve as functional tools
to guide therapy for patient with uterine malignancy.
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