Macrophages and hepatocellular carcinoma

Tian, Zhiqiang; Hou, Xue‐Long; Liu, Wenting; Han, Zhipeng; Wei, Lixin

doi:10.1186/s13578-019-0342-7

Cited by 110 publications

(94 citation statements)

References 118 publications

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“…Neutrophils contribute to the activation, regulation and effector function of immune cells [37]; they are also capable of HCC progression by secreting a wide range of cytokines [38], thereby demonstrating their crucial role in the pathogenesis of HCC. A number of studies have reported that increased macrophages were related to poor prognosis in HCC [39]. Macrophages infiltration within the tumor microenvironment could facilitate tumor growth, angiogenesis, invasion, as well as metastasis [40].…”

Section: Discussionmentioning

confidence: 99%

Development and validation of a novel immune-related prognostic model in hepatocellular carcinoma

et al. 2020

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Background: Growing evidence has suggested that immune-related genes play crucial roles in the development and progression of hepatocellular carcinoma (HCC). Nevertheless, the utility of immune-related genes for evaluating the prognosis of HCC patients are still lacking. The study aimed to explore gene signatures and prognostic values of immune-related genes in HCC. Methods:We comprehensively integrated gene expression data acquired from 374 HCC and 50 normal tissues in The Cancer Genome Atlas (TCGA). Differentially expressed genes (DEGs) analysis and univariate Cox regression analysis were performed to identify DEGs that related to overall survival. An immune prognostic model was constructed using the Lasso and multivariate Cox regression analyses. Furthermore, Cox regression analysis was applied to identify independent prognostic factors in HCC. The correlation analysis between immune-related signature and immune cells infiltration were also investigated. Finally, the signature was validated in an external independent dataset.Results: A total of 329 differentially expressed immune-related genes were detected. 64 immune-related genes were identified to be markedly related to overall survival in HCC patients using univariate Cox regression analysis. Then we established a TF-mediated network for exploring the regulatory mechanisms of these genes. Lasso and multivariate Cox regression analyses were applied to construct the immune-based prognostic model, which consisted of nine immune-related genes. Further analysis indicated that this immune-related prognostic model could be an independent prognostic indicator after adjusting to other clinical factors. The relationships between the risk score model and immune cell infiltration suggested that the nine-gene signature could reflect the status of tumor immune microenvironment. The prognostic value of this nine-gene prognostic model was further successfully validated in an independent database.Conclusions: Together, our study screened potential prognostic immune-related genes and established a novel immune-based prognostic model of HCC, which not only provides new potential prognostic biomarkers and therapeutic targets, but also deepens our understanding of tumor immune microenvironment status and lays a theoretical foundation for immunotherapy.

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Section: Discussionmentioning

confidence: 99%

Development and validation of a novel immune-related prognostic model in hepatocellular carcinoma

et al. 2020

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“…The nuclear transcription factor, HIF-1α, is a crucial biomarker of the hypoxia tumor microenvironment, which is due to the rapid proliferation of tumor cells [27]. Studies have reported that HMGB1 recruited macrophages into HCC tissue via HIF-1α, or HMGB1-regulated HIF-1α to promote the tumor malignancy [28,29]. It can be seen that HMGB1 and HIF-1α act as partners in promoting cancer.…”

Section: Discussionmentioning

confidence: 99%

Self-enforcing HMGB1/NF-κB/HIF-1α Feedback Loop Promotes Cisplatin Resistance in Hepatocellular Carcinoma Cells

et al. 2020

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Hepatocellular carcinoma (HCC) is ranked the sixth most common cancer and the fourth leading cause of cancer-related death worldwide, and its incidence is expected to increase in the future. Cisplatin has been widely used in chemotherapy and transarterial chemoembolization in treatment for HCC. However, the main obstacle to the clinical use of cisplatin is the development of resistance, the mechanisms of which are poorly defined. Therefore, it is imperative to investigate the cellular mechanisms mediating cisplatin resistance in HCC. Here, we demonstrated that high mobility group box 1 (HMGB1) is upregulated in patients with cancer, and implicated in a tumor-supportive role. Further, we showed that HMGB1 has an important role in mediating cisplatin resistance via an HMGB1/ nuclear factor kappa-B (NF-κB)/ hypoxia inducible factor-1α (HIF-1α) feedback loop. The study findings reveal an unappreciated molecular mechanism of HMGB1-mediated cisplatin resistance and may provide a new clue in cancer therapy.

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“…Typically, the intramural neutrophil infiltration is elaborated to be promoted by the CXCL5 and CXCR2-CXCL1 axis; besides, it displays marked correlation with shorter OS and HCC recurrence, and serves as an independent prognostic factor [32][33][34]. Moreover, the increased infiltration of tumor-associated macrophages dominated by the M2 macrophages, which may be ascribed to the deletion of the Hippo signaling, has been reported to produce the Wnt/β-catenin signaling and trigger the elevated intramural FoxP3+ Treg population, while this in turn accelerates HCC progression [35][36][37]. In addition, accumulating evidence reveals a role of DCs as an adverse prognostic factor for HCC.…”

Section: Discussionmentioning

confidence: 99%

Development of a novel three-lncRNA immune-related signature as a prognostic indicator for hepatocellular carcinoma

Hu¹,

Xiao²,

Sang

2020

Preprint

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Background: Hepatocellular carcinoma (HCC) is one of the deadliest malignancies. Currently, there is still a lack of effective treatment. Our purpose was to develop an immune-related prognosis lncRNA signature with regard to HCC. Methods:A total of 14,142 lncRNAs and 331 immune genes were obtained from The Cancer Genome Atlas (TCGA) and the Molecular Signatures Database to construct the immune-related lncRNAs coexpression networks. Moreover, the tumor samples collected from TCGA were randomized as training set and testing set, among which, the testing set and the entire set were used for verification.Subsequently, gene set enrichment analysis (GSEA) and principal component analysis (PCA) were employed for functional annotation.Results: An immune-related signature consisting of AC015908.3, AC068987.4 and AL365203.2 was identified among HCC patients. Under different conditions, patients in low-risk group exhibited longer overall survival (OS) than those in high-risk group (P < 0.001). Moreover, the as-constructed signature was an independent factor, which showed marked association with patient OS (P < 0.001, hazard ratio (HR) = 1.407). These findings were further validated in testing set and the entire set.Additionally, GSEA results revealed the different immune states between low-risk and high-risk groups. On the other hand, lncRNA-related mRNAs were also extracted to depict the networks. Conclusion:Our findings indicate that the three-lncRNA immune-related signature shows prognostic value for HCC. BackgroundHepatocellular carcinoma (HCC) is the second leading cause of cancer-related deaths worldwide, which affects about 800,000 cases annually [1]. Generally, HCC is treated with surgical resection and chemotherapy, but the mortality rate remains high [2], and the prognosis for HCC patients is affected by various factors. By contrast, the therapeutic regimens that counteract the immunosuppressive mechanisms potentially change the clinical outcomes of HCC, which prompts us to further explore the relationship of the abnormal local immune status with HCC development and prognosis [3]. Moreover, long non-coding RNAs (lncRNAs) possess a wide range of functional activities [4,5], and their

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Macrophages and hepatocellular carcinoma

Cited by 110 publications

References 118 publications

Development and validation of a novel immune-related prognostic model in hepatocellular carcinoma

Development and validation of a novel immune-related prognostic model in hepatocellular carcinoma

Self-enforcing HMGB1/NF-κB/HIF-1α Feedback Loop Promotes Cisplatin Resistance in Hepatocellular Carcinoma Cells

Development of a novel three-lncRNA immune-related signature as a prognostic indicator for hepatocellular carcinoma

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