Distribution and prognostic impact of M1 macrophage on esophageal squamous cell carcinoma

Chen, Jiang; Liang, Wei; Li, Fan Ping; Xie, Yu; Yuan, Xin; Zhang, Hai Jun; Li, Man; Li, Jiang Fen; Zhang, An Zhi; Yang, Lan; Liu, Chun Xia; Pang, Li; Feng, Liqiang

doi:10.1093/carcin/bgaa128

Cited by 16 publications

(12 citation statements)

References 31 publications

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“…Therefore, the failure of CD163+ TAMs to show significant prognostic value in patients in our cohort is not inconsistent with previous studies. Our study supported that high-density invasion of CD11c+ TAMs in the TN region of PT tissues was associated with poorer prognosis in patients with KTs, contrary to many previous studies that confirmed the tumor killing effect of M1 TAMs (36)(37)(38). However, this may also be similar to some previous literature reports that M1 TAMs may play a malignant pro-cancer role in some cancers (39)(40)(41)(42)(43).…”

Section: Discussionsupporting

confidence: 88%

Invasion characteristics and clinical significance of tumor-associated macrophages in gastrointestinal Krukenberg tumors

Huang

Li²,

Qin³

et al. 2023

Front. Oncol.

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BackgroundTumor-associated macrophages (TAMs) have been used as potential drug targets in preclinical research and clinical trials of various cancers. However, their distribution in Krukenberg tumors (KTs) remains unclear. We investigated the expression and prognostic value of TAMs in patients with gastrointestinal cancer with KTs.MethodsThe infiltration of various types of TAMs was detected in surgical tissues of 35 patients with KTs using immunohistochemical staining. The level of infiltration of TAMs in tumor nests (TN), tumor stroma (TS), and invasive margin (IM) areas was evaluated. The Kaplan–Meier method and univariate/multivariate Cox regression risk models were used to analyze the relationship between the degree of TAMs invasion and overall survival (OS) and progression-free survival (PFS).ResultsThe distribution of TAMs exhibited spatial heterogeneity between TN, TS, and IM regions in primary tumor (PT) and KT tissues. TAMs infiltrated in the TN had greater prognostic value and were barely influenced by preoperative neoadjuvant therapy, despite similar grades of invasion in PT and KT tissues. Moreover, the number of CD68+ TAMs in TN of KT tissues was an independent risk factor affecting patient OS, whereas tumor resection scope might be an independent risk factor affecting patient PFS.ConclusionsIn view of the close relationship between TAMs, the tumor microenvironment and patient prognosis, targeting TAMs combined with chemotherapy is expected to become a new approach for the treatment of patients with KTs.

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Section: Discussionsupporting

confidence: 88%

Invasion characteristics and clinical significance of tumor-associated macrophages in gastrointestinal Krukenberg tumors

Huang

Li²,

Qin³

et al. 2023

Front. Oncol.

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“…EPC1-related immune cells, such as macrophage, B cells, and T cells, may play a role in controlling tumor growth. Furthermore, M1 macrophage was considered to have greater antitumor activity [41], which was positively correlated with EPC1 expression in HPV + tumors. IL2 served as an M1 marker and TNFSF15 was shown to promote M1 production, both of which showed a correlation with EPC1 expression.…”

Section: Discussionmentioning

confidence: 99%

Multiomics Integrative Analysis Identifying EPC1 as a Prognostic Biomarker in Head and Neck Squamous Cell Carcinoma

Dai

Chen

Huang

et al. 2022

BioMed Research International

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Background. Biomarker research in head and neck squamous cell carcinoma (HNSCC) is constantly revealing promising findings. An enhancer of polycomb homolog 1 (EPC1) was found to play a procancer role in nasopharyngeal carcinoma (NPC), but its role in HNSCC with strong heterogeneity is still unclear. Herein, we investigated the prognostic significance and related mechanisms of EPC1 in HNSCC. Methods. The Kaplan-Meier plotter was used to evaluate the prognostic significance of EPC1. Based on a range of published public databases, the multiomics expression of EPC1 in HNSCC was explored to investigate the mechanisms affecting prognosis. Results. According to the clinical data, high EPC1 expression in HNSCC was a predictor of patient prognosis (hazard ratio ðHRÞ = 0:64; 95% confidence interval (CI) 0.49-0.83; P < 0:01). EPC1 expression varied among clinical subtypes and was related to key factors, such as TP53 and human papillomavirus (HPV) (P < 0:05). At the genetic level, EPC1 expression level may be associated with protein phosphorylation, cell adhesion, cancer-related pathways, etc. For the noncoding region, a competing endogenous RNA network was constructed, and 6 microRNAs and 12 long noncoding RNAs were identified. At the protein level, a protein-protein interaction (PPI) network related to EPC1 expression was constructed and found to be involved in HPV infection, endocrine resistance, and multiple cancer pathways. At the immune level, EPC1 expression was correlated with a variety of immune cells and immune molecules, which together constituted the immune microenvironments of tumors. Conclusion. High EPC1 expression may predict a better prognosis in HNSCC, as it is more frequently found in HNSCC with HPV infection. EPC1 may participate in the genomics, transcriptomics, proteomics, and immunomics of HNSCC, and the results can provide a reference for the development of targeted drugs and evaluation of patient prognosis.

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“…We found that compared with normal tissues, the levels of macrophage, myeloid dendritic cell resting and T cell follicular helper in ESCC group were higher, while the levels of B cell, monocyte, CD8+T cell and mast cell activated were lower. Chen et al 28 found that M0 and M1 macrophage were significantly increased in ESCC, and M1 macrophage was involved in inhibiting the invasion and migration of ESCC cells. In large body of experimental evidence has found that M1 macrophage can produce cytokines such as IL1, IL-12 and TNF-α, which produce anti-tumor effect 29 .…”

Section: Discussionmentioning

confidence: 99%

Analysis of Key Pathways, Genes and Immune Cell Infiltration in Metastatic Esophageal Squamous Cell Carcinoma Based on Bioinformatics

Wang

Shen

2021

Preprint

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Objective: To seek potential metastatic tumor markers in esophageal squamous cell carcinoma (ESCC) by bioinformatics. Methods: Four datasets (GSE70409, GSE26886, GSE161533, GSE17351) were downloaded from GEO database, and the differential expression of mRNA was screened by Limma software package. Gene ontology function and kyoto encyclopedia of genes and genomes pathway enrichment analysis were performed using the database for annotation; Protein–protein interaction network of these DEGs was constructed based on STRING database; then, the hub gene were identified by six algorithms of Cytoscape software. Using GEPIA2 database and OncoLnc database to analyze the survival of hub genes. Immune infiltration was analyzed by TIMER2 database and CIBERSORT deconvolution method. Results: A total of 244 differentially expressed genes(DEGs)were screened from 4 data sets of GEO database, including 164 up-regulated genes and 80 down-regulated genes, which were mainly enriched at extracellular region and extracellular space, and involved in biological processes such as cell adhesion and proteolysis related to tumor invasion and metastasis. KEGG results showed that DEGs were mainly enriched in PI3K-Akt signal pathway and extracellular matrix (ECM) receptor interaction signal pathway. Through the protein interaction analysis of DEGs, we found that three hub genes (CXCL8, MMP9 and MMP13) were highly expressed in ESCC. However, the GEPIA2 database shows that only CXCL8 is associated with the overall survival of ESCC patients. The results of immune infiltration showed that macrophages and resting dendritic cells increased significantly, while mast cells and monocytes decreased significantly. Conclusion: Three hub genes and immune infiltrating cells may play an important role in ESCC, and are expected to become potential tumor markers of ESCC and be used in the diagnosis and treatment of ESCC.

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Distribution and prognostic impact of M1 macrophage on esophageal squamous cell carcinoma

Cited by 16 publications

References 31 publications

Invasion characteristics and clinical significance of tumor-associated macrophages in gastrointestinal Krukenberg tumors

Invasion characteristics and clinical significance of tumor-associated macrophages in gastrointestinal Krukenberg tumors

Multiomics Integrative Analysis Identifying EPC1 as a Prognostic Biomarker in Head and Neck Squamous Cell Carcinoma

Analysis of Key Pathways, Genes and Immune Cell Infiltration in Metastatic Esophageal Squamous Cell Carcinoma Based on Bioinformatics

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