Prognostic Value of a Ten-Gene Signature in HNSCC Patients Based on Tumor-Associated Macrophages Expression Profiling

CD163+ Tumor-Associated Macrophage Recruitment Predicts Papillary Thyroid Cancer Recurrence

INTRODUCTION

Skewed immune response plays a pivotal role in tumor progression. Systemic inflammatory responses represented by combined peripheral leukocyte fractions are prognostic predictors of multiple cancers, including thyroid cancer. We previously reported the prognostic significance of lymphocyte-to-monocyte ratio (LMR) in curatively resected papillary thyroid cancer (PTC). Therefore, this study aimed to analyze immune cell profiles in the tumor microenvironment and their association with LMR in curatively resected PTC.

MATERIALS AND METHODS

The immune cell profiles of primary tumors in 162 patients with curatively resected PTC were analyzed clinicopathologically. Immunohistochemistry of tumor-associated macrophages (TAMs), myeloid-derived suppressor cells, and lymphocytes was performed using CD163, CD33, and CD3 antibodies, respectively. Prognostic analysis and correlation assays were performed using the immunocyte profiles. The gene expression of tumor-derived chemokines was assessed using a The Cancer Genome Atlas database.

RESULTS

Patients with a higher density of CD163+ TAMs exhibited a significantly worse prognosis than their counterparts (10-y recurrence-free survival: 80.9% versus 91.2%, P = 0.011). Multivariate prognostic analyses revealed that high CD163+ cell density (P = 0.011), low preoperative LMR (P = 0.003), pN1b (P = 0.005), and high thyroglobulin level (P = 0.038) were independent predictors of recurrence. High CD163+ cell density had a prognostic impact on stage II and III PTC. Interestingly, high CD163+ cell density correlated with low LMR and high monocyte fraction in peripheral blood. Indeed, the expression of TAM-inducible, tumor-derived chemokines is increased in the The Cancer Genome Atlas database.

CONCLUSIONS

A high density of infiltrated CD163+ TAMs predicts recurrence in correlation with low LMR and circulating monocyte accumulation. Thus, TAMs should be considered when assessing advanced PTC.

Integrated Analysis of Single-Cell RNA-Seq and Bulk RNA-Seq Unravels the Molecular Feature of Tumor-Associated Macrophage of Acute Myeloid Leukemia

Background

The association between acute myeloid leukemia (AML) and macrophage remains to be deeply explored.

Methods

Gene expression profiles and clinical variable characteristics of AML patients were collected from TCGA, GEO, and TARGET databases. Consensus clustering was employed to construct the macrophage-related clusters. The macrophage-related index (MRI) was constructed using the LASSO and multivariate Cox analysis. The GSE71014 and TARGET datasets were utilized as external validation sets. Single-cell sequencing data for AML (GSE116256) was adopted to analyze modeled gene expression levels in cells.

Results

Two macrophage-related clusters with different prognostic and immune infiltration characteristics were constructed in AML. Cluster B had a poorer prognosis, more cancer-promoting pathway enrichment, and an immunosuppressive microenvironment. Relied on the MRI, patients of different groups showed different levels of immune infiltration, different mutations, and prognoses. LGALS1 and BCL2A1 may play roles in promoting cancer in AML, while ELANE may have a significant effect on suppressing cancer.

Conclusion

Macrophage-related genes (MRGs) had significant impacts on the occurrence and progression of AML. MRI may better evaluate the prognosis and immune features of AML patients.