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.
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);
Study Type
OBSERVATIONAL
Enrollment
234
Apatinib, chemotherapy alone, Camrelizumab
Fujian Medical University Union Hospital
Fuzhou, Fuji'an, China
overall survival
overall survival
Time frame: 2years
objective response rate
objective response rate
Time frame: 6months
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