Evaluation of Clinical, Radiomics and Molecular Features of Lung Metastasis in PDAC Patients (LUMACA Trial)
NCT04435067 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 44
Last updated 2020-07-16
Summary
The aim of this study is the characterization from epidemiological, radiomics and molecular point of view of lung metastasis of patients at beginning affected by pancreatic adenocarcinoma (PDAC), which after the resection of primitive tumor have met with initial recurrence of the disease exclusively at the lung level.
Conditions
- Pancreas Adenocarcinoma
Interventions
- GENETIC
-
Analysis of genetic mutations and the gene expression profile of lung metastasis and primary neoplasia
The mutational analysis of the main oncogenes and tumor suppressor genes involved in the genesis and tumor progression will be performed on the genomic DNA extracted from each sample using the Ion Torrent TM Oncomine TM Comprehensive Assay version 3 (OCAv3) kit. This panel includes 161 cancer-related genes and allows the identification of all genomic alterations affecting oncogenes and recurrently altered tumor suppressor genes in solid tumors. The study of gene expression will be carried out using Nanostring Technology using the Pancancer IO 360 TM panel which allows simultaneous analysis for each sample of multiple mRNAs associated with crucial pathways in carcinogenesis and the immunological profile of the tumor, defining its up and down conditions gene regulation.
- OTHER
-
Radiomics analysis on TAC imaging at diagnosis of lung metastasis and, if possible, of the primary tumor
This study will be performed using the SPAARC IBSI (International Biomarker Standardization Initiative) compliant software implemented in the MatLab environment (MathWorks, Boston, USA) through several steps: (a) CT imaging retrieval, (b) image segmentation and rendering, (c) feature extraction and (d) qualification/quantification. Approximately 200 radiomics characteristics will be extracted, such as: Morphology, Statistical, Intensity Histogram, Gray Level Co-occurrence Matrix 3D\_average, Gray Level Co-occurrence Matrix 3D\_combined, Gray Level Run Length 3D\_average, Gray Level Run Length 3D\_combined, Gray Level Size Zone Matrix 3D, Neighbor Gray Tone Difference Matrix 3D, Gray Level Distance Zone Matrix 3D.
Sponsors & Collaborators
-
IRCCS San Raffaele
lead OTHER
Principal Investigators
-
Michele Reni, MD · IRCCSS Raffaele
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2020-05-27
- Primary Completion
- 2021-12-31
- Completion
- 2021-12-31
Countries
- Italy
Study Locations
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