Predictive role of inflammatory markers for the efficacy of first-line immunotherapy plus chemotherapy in advanced gastric cancer

Discover Oncology, Journal Year: 2025, Volume and Issue: 16(1)

Published: April 26, 2025

Immune checkpoint inhibitors (ICIs) plus chemotherapy have become a new first-line treatment option for patients with locally advanced or metastatic gastric cancer. However, it is still controversial whether to choose alone ICIs as the due lack of ideal predictive biomarkers efficacy. This study intended explore value inflammatory markers efficacy in this disease. retrospective included 131 cancer who received between July, 2020 and June, 2023. Among them, 76 55 alone. Firstly, Kaplan-Meier Cox regression analyses were used correlation chemotherapy. Subsequently, combined baseline dynamic changes was explored. Moreover, further verified by comparing that In receiving chemotherapy, low monocyte-to-lymphocyte ratio (MLR) peripheral blood significantly associated better progression-free survival (PFS) overall (OS), an independent prognostic factor OS. addition, early MLR also played role. Patients whose lower at after two cycles had OS (P = 0.009). Furthermore, compared alone, more likely benefit from could serve biomarker predict And helpful select candidates which worthy study.

Language: Английский

Integrated single-cell and transcriptome sequencing data reveal the value of IL1RAP in gastric cancer microenvironment and prognosis

Frontiers in Oncology, Journal Year: 2025, Volume and Issue: 15

Published: May 15, 2025

Background Investigating the pivotal role of IL1RAP in tumor microenvironment gastric cancer. Method Download and collate transcriptomic single-cell data from cancer patients. Three machine learning algorithms identified distinct sets prognostic genes The CIBERSORT ssGSEA elucidated immune infiltration patterns, while TIDE TCGA predicted immune-related outcomes. Furthermore, sequencing confirmed interaction within microenvironment. Finally, differential expression levels protein mRNA were validated. Result After screening independent dataset validation, high was as a poor factor for Immune analysis indicated that low group associated with higher CD8+ T cells M1-type macrophages, whereas exhibited increased presence M2-type macrophages. Immunotherapy prediction models suggested more favorable response to PD-1 treatment group. Prognostic incorporating demonstrated superior predictive performance. Single-cell revealed plays critical regulating intercellular communication Our findings further validated by confirming elevated tissues. Conclusion serves robust predictor immunotherapy efficacy

Language: Английский