Biomarker Analysis of Anti-PD-1 Antibody Combined With Chemotherapy for Neoadjuvant Treatment of Locally Advanced GC

Sponsor
Xijing Hospital (Other)
Overall Status
Active, not recruiting
CT.gov ID
NCT05508399
Collaborator
(none)
40
1
48
0.8

Study Details

Study Description

Brief Summary

Gastric cancer is one of the most common malignant tumors in China, ranking the fifth highest incidence and third highest mortality worldwide. Currently, surgical resection is the preferred treatment for gastric cancer, while the 5-year survival rate of patients is lower than 25%. Compared with surgical resection, immunotherapy is proved to be able to effectively prolong the survival time of patients. On one hand, with the continuous promotion of immunotherapy drugs, the exploration of neoadjuvant application of immunotherapy in gastric cancer has become a hotspot in recent years. It's also on their way that clinical trials of programmed death receptor-1 (PD-1), programmed death ligand-1 (PD-L1) and other immune checkpoints are carried out. On the other hand, the research found that although the curative effect of immune therapy seems better, the present stage gastric cancer immunotherapy marker researches mainly focused on the late stage of the cancer, with few studies of immune markers of neoadjuvant therapy for gastric carcinoma. Additionally, it's not quite feasible for single biomarkers to predict the immune treatment effect precisely. Therefore, combined with clinicopathology and therapeutic effects, this study is aimed to construct the efficacy prediction model of anti-PD-1 antibody together with chemotherapy for locally advanced gastric cancer, by detecting patients' DNA mutation and RNA expression.

Condition or Disease Intervention/Treatment Phase
  • Other: DNA panel and RNA Sequencing

Study Design

Study Type:
Observational
Anticipated Enrollment :
40 participants
Observational Model:
Cohort
Time Perspective:
Prospective
Official Title:
Predictive Biomarker Analysis and Model Construction of PD-1 Monoclonal Antibody Combined With Chemotherapy for Neoadjuvant Treatment of Locally Advanced Gastric Cancer: A Single-center, Observational Study
Actual Study Start Date :
Jul 18, 2022
Anticipated Primary Completion Date :
Jul 18, 2024
Anticipated Study Completion Date :
Jul 18, 2026

Arms and Interventions

Arm Intervention/Treatment
PD-1 group

Patients who are qualified for receiving anti-PD-1 antibody combined with chemotherapy neoadjuvant therapy

Other: DNA panel and RNA Sequencing
Including a DNA panel containing 571 cancer-associated genes, and full transcriptome sequencing.

Outcome Measures

Primary Outcome Measures

  1. Relative DNA biomarkers [From the initiation date of patients recruited into groups to the date of first documented progression or date of death from any cause, whichever came first, assessed up to 2 years]

    At the DNA level, to identify the biomarkers related to the efficacy of neoadjuvant therapy with PD-1 mab combined with chemotherapy in locally advanced gastric cancer.

  2. Relative RNA biomarkers [From the initiation date of patients recruited into groups to the date of first documented progression or date of death from any cause, whichever came first, assessed up to 2 years]

    At the RNA level, to identify the biomarkers related to the efficacy of neoadjuvant therapy with PD-1 mab combined with chemotherapy in locally advanced gastric cancer.

  3. Prediction model for efficacy [From the date of completing collecting data, to the date of death from any cause or the end date of the whole trail, whichever came first, assessed up to 2 years]

    A prediction model for the efficacy of PD-1 mab combined with chemotherapy, constructed on the basis of clinical pathology, gene variation, gene expression and other factors.

Secondary Outcome Measures

  1. Conditions of immune microenvironment [From the initiation date of patients recruited into groups to the date of first documented progression or date of death from any cause, whichever came first, assessed up to 2 years]

    To monitor the changes of immune microenvironment before and after neoadjuvant treatment with PD-1 mab combined with chemotherapy for locally advanced gastric cancer.

  2. Drug resistance mechanism [From the initiation date of patients recruited into groups to the date of first documented progression or date of death from any cause, whichever came first, assessed up to 2 years]

    To explore the drug resistance mechanism of locally advanced gastric cancer after neoadjuvant therapy with PD-1 mab combined with chemotherapy.

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years to 80 Years
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  1. Aged 18-80 (including 18 and 80);

  2. Locally advanced gastric cancer (cT3-4a N+ M0, Stage cIII) diagnosed by guidelin-recommended diagnostic tools at our hospital or other hospitals

  3. Biopsy histologically confirmed adenocarcinoma

  4. As assessed by the investigator, patients who are qualified for receiving PD-1 mab combined with chemotherapy neoadjuvant therapy;

  5. Patients who volunteer to participate in this study and sign the informed consent, with good compliance and cooperation in the acquisition of biological specimens.

Exclusion Criteria:
  1. Patients whose biological specimens do not meet the detection standards;

  2. In the judgment of the investigator, the patients with factors that might have caused the study to be terminated.

Contacts and Locations

Locations

Site City State Country Postal Code
1 Xijing Hospital of Digestive Diseases Xi'an Shaanxi China 710000

Sponsors and Collaborators

  • Xijing Hospital

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Xijing Hospital
ClinicalTrials.gov Identifier:
NCT05508399
Other Study ID Numbers:
  • Gang Ji -2
First Posted:
Aug 19, 2022
Last Update Posted:
Aug 19, 2022
Last Verified:
Aug 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 Aug 19, 2022