Selecting Patients Who May Benefit From Immunotherapy by Tissue-based Biomarkers.

Sponsor
Peking University (Other)
Overall Status
Recruiting
CT.gov ID
NCT05593419
Collaborator
(none)
300
1
36
8.3

Study Details

Study Description

Brief Summary

We have established a machine learning model based on effective TIIC signature which could select GC patients who may benefit from immunotherapy.

The current study aims to enroll 300 GC patients as a validation cohort to vertify the accuracy of TIIC signature in predicting immunotherapy efficacy

Condition or Disease Intervention/Treatment Phase
  • Device: TIIC signature

Study Design

Study Type:
Observational
Anticipated Enrollment :
300 participants
Observational Model:
Cohort
Time Perspective:
Prospective
Official Title:
Selecting Patients Who May Benefit From Immunotherapy by Tissue-based Biomarkers
Anticipated Study Start Date :
Oct 31, 2022
Anticipated Primary Completion Date :
Oct 31, 2025
Anticipated Study Completion Date :
Oct 31, 2025

Arms and Interventions

Arm Intervention/Treatment
Immunotherapy Group

Device: TIIC signature
Collect tumor tissue of 300 gastric cancer patients at treatment baseline, samples will be transferred to central lab to detect the density and spatial proximity of certain immune cells infiltrated in tumor by multi complex immunohistochemistry, and evaluate patients' TIIC signature.Tumor response evaluation will be performed after two cycles of therapy by CT/MRI based on RECIST.Clinical data, including tumor stage,metastaticorgan ,regimen, objective response, progression free survival, overall survival, etc, will be collected according to study protocol.

Outcome Measures

Primary Outcome Measures

  1. TIIC signature [Treatment baseline]

    Density and spatial proximity of 4 kinds of immune cells involved in TIIC signature infiltrate in tumor at treatment baseline will be recorded.

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years to 80 Years
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • Having signed informed consent

  • Age:18-80 years old

  • Histologically confirmed gastric adenocarcinoma

  • Unresectable recurrent or metastatic gastric cancer

  • Previous neo-adjuvant or adjuvant treatment for gastric cancer, if applicable, more than 6 months

  • Measurable disease according to the RECIST criteria

  • Karnofsky performance status ≥70

  • Life expectancy of ≥3 month

  • No prior radiotherapy except radiotherapy at non-target lesion of the study more than 4 weeks

  • ALT and AST<2.5 times ULN (≤5 times ULN in patients with liver metastases)

  • Serum albumin level ≥3.0g/dL

  • Serum AKP < 2.5 times ULN

  • Serum creatinine <ULN, and CCr < 60ml/min

  • Bilirubin level < 1.5 ULN

  • WBC>3,000/mm3, absolute neutrophil count ≥2000/mm3, platelet>100,000/mm3, Hb>9g/dl

Exclusion Criteria:
  • Previous systemic therapy for metastatic gastric cancer

  • Surgery (excluding diagnostic biopsy) within 4 weeks prior to study entry Contraindications of nuclear magnetic resonance image such as fitment of cardiac pacemaker , nerve stimulator, or aneurysm clip, and metallic foreign body in eye ball and so on.

  • Allergic constitution or allergic history to protium biologic product or any investigating agents.

  • Severe heart disease or such history as recorded congestive heart failure, uncontrolled cardiac arrhythmia, angina pectoris needing medication, cardiac valve disease, severe abnormal ECG findings, cardiac infarction , or retractable hypertension.

  • Pregnancy or lactation period

  • Other previous malignancy within 5 year, except non-melanoma skin cancer

  • Legal incapacity

Contacts and Locations

Locations

Site City State Country Postal Code
1 Peking University Cancer Hospital Beijing China

Sponsors and Collaborators

  • Peking University

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Shen Lin, Professor, Peking University
ClinicalTrials.gov Identifier:
NCT05593419
Other Study ID Numbers:
  • CGOG-GMAP 1.0
First Posted:
Oct 25, 2022
Last Update Posted:
Oct 25, 2022
Last Verified:
Oct 1, 2022
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Additional relevant MeSH terms:

Study Results

No Results Posted as of Oct 25, 2022