Radiomics and Radiogenomics Models to Predict Molecular Integrated Risk Classes and Prognostic Factors in Endometrial Cancer.
NCT06279832 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1000
Last updated 2024-02-28
Summary
The aim is to develop radiogenomics models to stratify patients into three main risk categories (Favorable, Intermediate, and Unfavorable) according to the ProMisE model (9) and use these models to predict the most prognostically relevant EC histopathological features (i.e. FIGO stage, degree of tumor differentiation, histotype, LVSI status, myometrial and cervical invasion, lymph node metastases).
These models would support clinicians in personalizing surgical and adjuvant treatment choice among the options considered by the international guidelines.
Conditions
Interventions
- OTHER
-
trascriptomic profiling
The mutational and copy number analyses will be complemented by transcriptomic profiling. RNA will be extracted from FFPE samples using miRNAeasy FFPE kit (Qiagen) and checked for quality and quantify by 2100 Bioanalyzer instrument (Agilent) and Qubit Fluorometer (ThermoFisher), respectively. Transcriptome analyses will be performed by RNA-seq. We will apply total RNAseq using the Illumina® TruSeq Stranded Total RNA workflow that provides a solution allowing the detection of whole transcriptome, splicing variants, and transcript fusions of human RNA isolated from FFPE samples. Libraries will be run using the Illumina's Novaseq6000 system, with a least 50 millions of reads/sample, the minimum read depth for the correct evaluation of low expressed transcripts.
Sponsors & Collaborators
-
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
lead OTHER
Study Design
- Allocation
- NA
- Purpose
- DIAGNOSTIC
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Sex
- FEMALE
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2023-11-01
- Primary Completion
- 2024-10-31
- Completion
- 2025-10-31
Countries
- Italy
Study Locations
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