Neoadjuvant Treatment Based on Gastric Cancer Molecular Subtyping.

NCT ID: NCT06376773

Last Updated: 2024-04-19

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

COMPLETED

Total Enrollment

234 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-06-01

Study Completion Date

2023-11-30

Brief Summary

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Extensive research employing diverse omics methodologies has unveiled a varied landscape of gastric cancer (GC). Recent progress in next-generation sequencing and other genomic technologies has facilitated a more intricate exploration of GC at the molecular level. This study aimed to identify the most effective drug therapeutics for patients with the mesenchymal subtype of gastric cancer.Based on RNA-seq transcriptome, 234 patients were divided into four molecular subtypes: mesenchymal, immunogenic, metabolic, and classic.Our analysis has revealed that, for neoadjuvant therapy in advanced gastric cancer (AGC), the mesenchymal subtype stands out as the ideal patient population benefiting from Apatinib, without a concurrent increase in postoperative complications.

Detailed Description

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The advent of immunotherapy and targeted therapies has recently provided new options for AGC treatment. However, not all patients benefit from immunotherapy or targeted therapy, resulting in unsatisfactory overall treatment outcomes during the perioperative period. An ineffective treatment imposes significant financial burden, causes drug-related side effects that deteriorate their quality of life, and potentially delays subsequent treatment.

Evaluate the objective response rate (ORR) of the combination of camrelizumb, apatinib, and neoadjuvant chemotherapy for the treatment of advanced gastric patient Median survival time (OS);

Disease free survival time (DFS);

Conditions

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Advanced Gastric Cancer Neoadjuvant Therapy Multi-omics Analysis

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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mesenchymal

Based on RNA-seq transcriptome, patients were divided into mesenchymal, and received neoadjuvant chemotherapy with apatinib or not

combination chemotherapy with Apatinib or Camrelizumab

Intervention Type PROCEDURE

Apatinib, chemotherapy alone, Camrelizumab

immunogenic

Based on RNA-seq transcriptome, patients were divided into immunogenic, and received neoadjuvant chemotherapy with Camrelizumab or not

combination chemotherapy with Apatinib or Camrelizumab

Intervention Type PROCEDURE

Apatinib, chemotherapy alone, Camrelizumab

metabolic

Based on RNA-seq transcriptome, patients were divided into metabolic, and received neoadjuvant chemotherapy with apatinib, Camrelizumab or not

No interventions assigned to this group

classic

Based on RNA-seq transcriptome, patients were divided into classic, and received neoadjuvant chemotherapy with apatinib, Camrelizumab or not

No interventions assigned to this group

Interventions

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combination chemotherapy with Apatinib or Camrelizumab

Apatinib, chemotherapy alone, Camrelizumab

Intervention Type PROCEDURE

Other Intervention Names

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mesenchymal immunogenic metabolic classic

Eligibility Criteria

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Inclusion Criteria

* diagnosed with gastric adenocarcinoma and received neoadjuvant therapy

Exclusion Criteria

* Patients with distant metastases, gastric stump cancer, or missing neoadjuvant chemotherapy data were excluded from the study.
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Fujian Medical University

OTHER

Sponsor Role lead

Responsible Party

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Chang-Ming Huang, Prof.

Fujian Medical University

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Fujian Medical University Union Hospital

Fuzhou, Fuji'an, China

Site Status

Countries

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China

Other Identifiers

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2022KY123

Identifier Type: -

Identifier Source: org_study_id

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