Introduction: Tumor-associated macrophages (TAM) play a dual role in the development of gastric cancer (GC). This study aims to analyze the prognostic value of TAM density in GC patients.

Evidence Acquisition: We conducted a meta-analysis of 11 studies (N.=1043) to investigate the correlation between TAM density and the overall survival (OS) or disease free survival (DFS) of GC patients. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated by the STATA statistical software.

Evidence Synthesis: The HR of OS of GC patients with high-density TAM is 1.56 (95% CI: 0.90~2.22, P<0.001) as compared with those with low-density TAM, and that of DFS is 1.10 (95% CI: 0.16~2.03, P=0.022), indicating that TAM density does not significantly predict the poor survival of GC. A subgroup analysis by ethnicity also revealed no significance effect between TAM density and a worse OS among both Asians and Caucasians (Asians: HR=1.47, 95% CI: 0.76~2.18, P<0.001; Caucasians: HR=2.23, 95% CI: 0.62~3.84, P=0.007, respectively).

Conclusions: Our findings provide empirical evidence that TAM density is not an independent predictor for the survival of GC patients.

Download full-text PDF

Source

Publication Analysis

Top Keywords

tumor-associated macrophages
8
gastric cancer
8
tam density
8
prognostic significance
4
significance tumor-associated
4
macrophages density
4
density gastric
4
cancer systemic
4
systemic review
4
review meta-analysis
4

Similar Publications

Purpose: Recent research (Li et al. 2021) suggests an upregulated expression and activation of H1 receptors on macrophages in the tumor microenvironment, and concomitant H1-antihistamine use is associated with improved overall survival in patients with lung and skin cancers receiving immunotherapy. Therefore, we retrospectively evaluated the impacts of H1-antihistamine use in cancer patients during immunotherapy.

View Article and Find Full Text PDF

Respiratory syncytial virus (RSV) is one of the most important etiologies of acute respiratory infections that cause bronchiolitis in children under 5 years of age. Treatments are expensive, no vaccine is available, and this is an important cause of hospitalization. Costimulatory molecules have been reported to be good inducers of antiviral type 1 immune response.

View Article and Find Full Text PDF

Sonodynamic therapy (SDT), which is non-invasive and controllable has the potential to treat triple-negative breast cancer (TNBC). However, the hypoxia and immunosuppressive tumor microenvironment (TME) often block the production of reactive oxygen species and the induction of SDT-activated immunogenic cell death, thus limiting the activation of adaptive immune responses. To alleviate these challenges, we proposed the development of a multifunctional biomimetic nanoplatform (mTSeIR), which was designed with diselenide-conjugated sonosensitizers and tirapazamine (TPZ), encapsulated within M1 macrophage membrane.

View Article and Find Full Text PDF

Background: Pancreatic cancer is characterized by a complex tumor microenvironment that hinders effective immunotherapy. Identifying key factors that regulate the immunosuppressive landscape is crucial for improving treatment strategies.

Methods: We constructed a prognostic and risk assessment model for pancreatic cancer using 101 machine learning algorithms, identifying OSBPL3 as a key gene associated with disease progression and prognosis.

View Article and Find Full Text PDF

The current mortality rates for breast cancer underscore the need for better prognostic tools; moreover, LIM and calponin homology domain 1 (LIMCH1), which is a protein with dual roles in cancer, is a promising candidate for investigation. This study employed an integrative approach combining bioinformatics analysis of The Cancer Genome Atlas (TCGA) cohort and clinical immunohistochemistry (IHC) cohort data. We analysed LIMCH1 expression patterns, its associations with clinicopathological features and prognosis, and its impact on the tumour immune microenvironment (TIME).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!