Radiomics and Molecular Expression Predictive Model for Esophago-Gastric Junction and Gastric Cancer TRG

NCT ID: NCT04878783

Last Updated: 2024-05-09

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ACTIVE_NOT_RECRUITING

Total Enrollment

138 participants

Study Classification

OBSERVATIONAL

Study Start Date

2019-12-20

Study Completion Date

2027-10-30

Brief Summary

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The aim of this study is to develop a CT scan-based radiomics predictive model about tumor regression grade (TRG) in patients with esophago-gastric junction (EGJ) ang gastric cancer undergoing perioperative chemotherapy. The molecular expression of the neoplasms will be evaluated to assess its association with the TRG and the radiomic features.

Detailed Description

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• To compare the radiomic features of the CT scans at the time of diagnosis (T0) and at the end of the preoperative chemotherapy (T1) in order to predict the TRG with the texture analysis on the first CT scan.

A non-good response (non-GR) has shown to be predictable with texture analysis on the pre-treatment CT scan.

Therefore, we hypothesize that texture analysis could let to identify the good response patients.

• To find correlation between the molecular expression of the tumor and the radiomics features.

Texture analysis on the pre-chemotherapy CT scan founded that entropy and compactness were higher and uniformity lower in responders. Nonetheless the association between radiomics features and molecular expression has not been investigated yet.

Therefore, we hypothesize to add some others radiomics signatures to the analysis and to find an association with the molecular expression.

• To find correlation between the molecular expression of the tumor and the TRG.

MSI gastric cancer has been shown to be less responsive to preoperative chemotherapy.

Therefore, we hypothesize to confirm this result.

Conditions

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Gastric Cancer Adenocarcinoma of the Stomach

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

RETROSPECTIVE

Interventions

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CT scan

Patients undergoing CT scan staging for gastric and EJ junction cancer + perioperative chemotherapy (FLOT regimen) , CT scan re-staging and radical gastrectomy or esophagogastrectomy will be enrolled in the study

Intervention Type DIAGNOSTIC_TEST

Other Intervention Names

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FLOT chemotherapy Radical Gastrectomy with D2 Lymphadenectomy Radical Esophagogastrectomy with D2 Lymphadenectomy

Eligibility Criteria

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Inclusion Criteria

* Patients with histologically proven adenocarcinoma of the EGJ (Siewert II-III) or stomach.
* Preoperative staging: cT2-T4a, cN0-N3, M0.
* Patients \>18 years old.
* Patients undergoing perioperative chemotherapy with Docetaxel, oxaliplatin, leucovorin, and 5-fluorouracil (FLOT).

Exclusion Criteria

* Siewert I EGJ tumor
* Patients undergoing preoperative radiotherapy.
* Absence of both pre and post-chemotherapy CT-scan.
* Patients with tumor progression during preoperative chemotherapy.
* Patients undergoing other neoadjuvant chemotherapy regimen different from FLOT
* Exploratory laparoscopy with positive cytology on the peritoneal lavage or evidence of peritoneal carcinosis
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Andrea Laghi

UNKNOWN

Sponsor Role collaborator

University of Roma La Sapienza

OTHER

Sponsor Role lead

Responsible Party

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Giovanni Maria Garbarino

M.D.

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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University of Padova

Padua, , Italy

Site Status

Link Campus University

Roma, , Italy

Site Status

Giovanni Maria Garbarino

Roma, , Italy

Site Status

University of Verona

Verona, , Italy

Site Status

Amsterdam UMC location University of Amsterdam

Amsterdam, North Holland, Netherlands

Site Status

Countries

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Italy Netherlands

Other Identifiers

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URomLS2022

Identifier Type: -

Identifier Source: org_study_id

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