Downregulation of triggering receptor expressed on myeloid cells 1 inhibits invasion and migration of liver cancer cells by mediating macrophage polarization

Chen, Minmin; Lai, Ruimin; Lin, Xiaoyu; Chen, Wei; Wu, Huizhen; Zheng, Qi

doi:10.3892/or.2021.7988

Cited by 20 publications

(17 citation statements)

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“… Duan et al (2015) claimed that higher expression of TREM1 correlated significantly with increased recurrence and poorer survival in HCC patients. Chen et al (2021) found that downregulating TREM1 expression in macrophages shift M2 macrophages towards a M1 phenotype by inhibiting PI3K/AKT signaling, inhibiting migration and invasion of live cancer. S100A9 belongs to the S100 family of calcium-binding proteins and is over-expressed in hepatocellular carcinoma (HCC).…”

Section: Discussionmentioning

confidence: 99%

Immune-related gene signature to predict TACE refractoriness in patients with hepatocellular carcinoma based on artificial neural network

Wang

Yin

2023

Front. Genet.

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Background: Transarterial chemoembolization (TACE) is the standard treatment option for intermediate-stage hepatocellular carcinoma (HCC), while response varies among patients. This study aimed to identify novel immune-related genes (IRGs) and establish a prediction model for TACE refractoriness in HCC patients based on machine learning methods.Methods: Gene expression data were downloaded from GSE104580 dataset of Gene Expression Omnibus (GEO) database, differential analysis was first performed to screen differentially expressed genes (DEGs). The least absolute shrinkage and selection operator (LASSO) regression analysis was performed to further select significant DEGs. Weighted gene co-expression network analysis (WGCNA) was utilized to build a gene co-expression network and filter the hub genes. Final signature genes were determined by the intersection of LASSO analysis results, WGCNA results and IRGs list. Based on the above results, the artificial neural network (ANN) model was constructed in the training cohort and verified in the validation cohort. Receiver operating characteristics (ROC) analysis was used to assess the prediction accuracy. Correlation of signature genes with tumor microenvironment scores, immune cells and immune checkpoint molecules were further analyzed. The tumor immune dysfunction and exclusion (TIDE) score was used to evaluate the response to immunotherapy.Results: One hundred and forty-seven samples were included in this study, which was randomly divided into the training cohort (n = 103) and validation cohort (n = 44). In total, 224 genes were identified as DEGs. Further LASSO regression analysis screened out 25 genes from all DEGs. Through the intersection of LASSO results, WGCNA results and IRGs list, S100A9, TREM1, COLEC12, and IFIT1 were integrated to construct the ANN model. The areas under the curves (AUCs) of the model were .887 in training cohort and .765 in validation cohort. The four IRGs also correlated with tumor microenvironment scores, infiltrated immune cells and immune checkpoint genes in various degrees. Patients with TACE-Response, lower expression of COLEC12, S100A9, TREM1 and higher expression of IFIT1 had better response to immunotherapy.Conclusion: This study constructed and validated an IRG signature to predict the refractoriness to TACE in patients with HCC, which may have the potential to provide insights into the TACE refractoriness in HCC and become the immunotherapeutic targets for HCC patients with TACE refractoriness.

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Section: Discussionmentioning

confidence: 99%

Immune-related gene signature to predict TACE refractoriness in patients with hepatocellular carcinoma based on artificial neural network

Wang

Yin

2023

Front. Genet.

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“…Researchers demonstrated that loss of Ndrg-2 influenced TAM polarization via the NF-κB pathway[ 155 ]. Knocking down triggering receptors expressed on myeloid cells (TREM1) in macrophages quenched the activation of the PI3K/AKT/mTOR pathway in M2 macrophages polarization[ 156 ]. Targeted delivery of miR-99b and/or miR-125a into TAMs substantially decelerated the progression of HCC and Lewis lung cancer, particularly following miR-99b delivery[ 157 ].…”

Section: Tams and Targeted Therapies Of Digestive System Malignant Tu...mentioning

confidence: 99%

Role of tumor-associated macrophages in common digestive system malignant tumors

Shen¹,

Chen²,

Li³

et al. 2023

World J Gastrointest Oncol

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Many digestive system malignant tumors are characterized by high incidence and mortality rate. Increasing evidence has revealed that the tumor microenvironment (TME) is involved in cancer initiation and tumor progression. Tumor-associated macrophages (TAMs) are a predominant constituent of the TME, and participate in the regulation of various biological behaviors and influence the prognosis of digestive system cancer. TAMs can be mainly classified into the antitumor M1 phenotype and protumor M2 phenotype. The latter especially are crucial drivers of tumor invasion, growth, angiogenesis, metastasis, immunosuppression, and resistance to therapy. TAMs are of importance in the occurrence, development, diagnosis, prognosis, and treatment of common digestive system malignant tumors. In this review, we summarize the role of TAMs in common digestive system malignant tumors, including esophageal, gastric, colorectal, pancreatic and liver cancers. How TAMs promote the development of tumors, and how they act as potential therapeutic targets and their clinical applications are also described.

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“…82 For this reason, further research on the oncogenic mechanisms of lncRNA, YAP, and TAM and the realization of multi-target therapy will be conducive to alleviating tumor progression and improving patient survival. Other signaling pathways/axes, such as PI3-K and MAPK signaling pathway, 24,63 HMGB1/TLR2/NOX2/autophagy axis 65 and IFNG/IFR1/HHLA2 axis, 76 also regulate TAMs to act on HCC, offering a new direction for future anti-tumor therapy.…”

Section: Other Signaling Pathways/axesmentioning

confidence: 99%

The role of tumor‐associated macrophages in hepatocellular carcinoma progression: A narrative review

Zhang,

Yu,

Zhao

et al. 2023

Cancer Medicine

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Hepatocellular carcinoma (HCC) is one of the most common malignant tumors in the world, with complex etiology and mechanism, and a high mortality rate. Tumor‐associated macrophages (TAMs) are an important part of the HCC tumor microenvironment. Studies in recent years have shown that TAMs are involved in multiple stages of HCC and are related to treatment and prognosis in HCC. The specific mechanisms between TAMs and HCC are gradually being revealed. This paper reviews recent advances in the mechanisms associated with TAMs in HCC, concentrating on an overview of effects of TAMs on drug resistance in HCC and the signaling pathways linked with HCC, providing clues for the treatment and prognosis determination of HCC.

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Downregulation of triggering receptor expressed on myeloid cells 1 inhibits invasion and migration of liver cancer cells by mediating macrophage polarization

Cited by 20 publications

References 0 publications

Immune-related gene signature to predict TACE refractoriness in patients with hepatocellular carcinoma based on artificial neural network

Immune-related gene signature to predict TACE refractoriness in patients with hepatocellular carcinoma based on artificial neural network

Role of tumor-associated macrophages in common digestive system malignant tumors

The role of tumor‐associated macrophages in hepatocellular carcinoma progression: A narrative review

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