The Functional Roles of Immune Cells in Primary Liver Cancer

Pham, Linh; Kyritsi, Konstantina; Zhou, Tianhao; Ceci, Ludovica; Baiocchi, Leonardo; Kennedy, Lindsey; Chakraborty, Sanjukta; Glaser, Shannon; Francis, Heather; Alpini, Gianfranco; Sato, Keisaku

doi:10.1016/j.ajpath.2022.02.004

Cited by 20 publications

(16 citation statements)

References 101 publications

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“…Natural killer (NK) cells are a subset of effector lymphocytes from the innate immune system with potent cytolytic activity against microbial infection and tumor cells [ 70 , 71 ]. NK are “ready to kill” cells that rapidly recognize stressed cells such as cancer cells in an antigen-nonspecific way, thus, without prior sensitization.…”

Section: Innate Immune Systemmentioning

confidence: 99%

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Heterogeneity of Cholangiocarcinoma Immune Biology

Vita

Olaizola

Amato

et al. 2023

Cells

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Cholangiocarcinomas (CCAs) are aggressive tumors arising along the biliary tract epithelium, whose incidence and mortality are increasing. CCAs are highly desmoplastic cancers characterized by a dense tumor microenvironment (TME), in which each single component plays a fundamental role in shaping CCA initiation, progression and resistance to therapies. The crosstalk between cancer cells and TME can affect the recruitment, infiltration and differentiation of immune cells. According to the stage of the disease and to intra- and inter-patient heterogeneity, TME may contribute to either protumoral or antitumoral activities. Therefore, a better understanding of the effect of each immune cell subtype may open the path to new personalized immune therapeutic strategies for the management of CCA. In this review, we describe the role of immune cells in CCA initiation and progression, and their crosstalk with both cancer-associated fibroblasts (CAFs) and the cancer-stem-cell-like (CSC) niche.

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Section: Innate Immune Systemmentioning

confidence: 99%

“…Dendritic cells (DCs) are antigen presenting cells (APC) which are fundamental for T-cell activation, and subsequently for the activation of the adaptive immune system [ 71 ]. DCs are classified into classical DCs (cDCs) and plasmacytoid DCs (pDCs), the former considered highly phagocytic and the latter non-phagocytic [ 88 ].…”

Section: Innate Immune Systemmentioning

confidence: 99%

Heterogeneity of Cholangiocarcinoma Immune Biology

Vita

Olaizola

Amato

et al. 2023

Cells

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“…Liver cancer shows a poor prognosis. The frequency of liver cancer has significantly increased in the past few years, while its 5-year survival OS rate is <20% ( Pham et al, 2022 ). Hepatitis B and C viruses, non-alcoholic fatty liver disease (NAFLD), alcohol consumption, and other factors (i.e., aflatoxin and microcystin) are among the primary causes of liver cancer.…”

Section: Introductionmentioning

confidence: 99%

Risk model of hepatocellular carcinoma based on cuproptosis-related genes

Liu¹,

Qi²,

Wang³

et al. 2022

Front. Genet.

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Background: Owing to the heterogeneity displayed by hepatocellular carcinoma (HCC) and the complexity of tumor microenvironment (TME), it is noted that the long-term effectiveness of the cancer therapy poses a severe clinical challenge. Hence, it is essential to categorize and alter the treatment intervention decisions for these tumors.Materials and methods: "ConsensusClusterPlus" tool was used for developing a secure molecular classification system that was based on the cuproptosislinked gene expression. Furthermore, all clinical properties, pathway characteristics, genomic changes, and immune characteristics of different cell types involved in the immune pathways were also assessed. Univariate Cox regression and the least absolute shrinkage and selection operator (Lasso) analyses were used for designing the prognostic risk model associated with cuproptosis.Results: Three cuproptosis-linked subtypes (clust1, clust2, and clust3) were detected. Out of these, Clust3 showed the worst prognosis, followed by clust2, while Clust1 showed the best prognosis. Three subtypes had significantly different enrichment in pathways related to Tricarboxylic Acid (TCA) cycle, cell cycle, and cell senescence (p < 0.01). The clust3 subtype with poor prognosis had a low "ImmuneScore" and low immune cell infiltration, and the three subtypes had significant differences in the antigen processing and presentation pathway of the macrophages. Clust1 had a low TIDE score and was sensitive to immunotherapy. Then, according to the prognosis-related genes of cuproptosis, a prognosis risk model related to cuproptosis was constructed, containing seven genes (KIF2C, PTTG1, CENPM, CDC20, CYP2C9, SFN, and CFHR3). "High" group had a higher TIDE score compared to the TIDE score value shown by the "Low" group, which benefited less from immunotherapy, whereas the "High" group patients were more sensitive to the conventional drugs. Finally, the prognosis risk model related to cuproptosis was combined with clinical pathological characteristics to further improve the prognostic model and survival prediction. Conclusion:Three new molecular subgroups based on cuproptosis-linked genes were revealed, and a cuproptosis-related prognostic risk model comprising seven genes was established in this study, which could assist in

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“…The overall survival outcome of individuals with liver cancer is not optimistic with a 5-year survival rate of less than 20%. 5 Hence, identification of reliable genetic biomarkers for the accurate prediction of prognosis for liver cancer individuals is quite imperative.…”

Section: Introductionmentioning

confidence: 99%

“…Under the microscopy, liver cancer tissues display a dense tumor cells mixed with infiltrated immune cells, and tumor-related immune cells can serve as a promising target for treating liver cancer. 5 There is evidence that the immune response to solid tumors has a vital effect on the course of tumor progression even without any immunotherapy. 12 A low density of CD8+ T cells is linked to survival outcomes in liver cancer.…”

Section: Introductionmentioning

confidence: 99%

The Clinical Relevance and Immune Correlation of SLC10 Family Genes in Liver Cancer

Tian¹,

Li²,

Xiang³

et al. 2022

JHC

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Background and Aim This study was aimed to reveal the clinical relevance and immune correlation of the SLC10 family genes in liver cancer. Methods A comprehensive bioinformatics analysis was utilized to determine the gene expression, genetic alterations, DNA methylation, clinical significance, survival association and immune correlation of seven SLC10 family genes in liver cancer. The multiplexed immunohistochemical technique was applied to determine the association between SLC10A3 protein expression and immune cells, and the correlation between SLC10A3 protein and immune checkpoints (PD1 and PD-L1) in a cohort of 32 individuals with liver cancer. Results The expression of SLC10 family genes was different between normal liver tissues and malignant liver tissues. SLC10A5 showed the highest alteration rate (8%), followed by SLC10A3 (2.8%). Low expression of SLC10A1 was indicative of poor tumor grade and advanced tumor stage in liver cancer. Scatter plots uncovered that expression of SLC10A3 was inversely associated with SLC10A1 and SLC10A5 expression in liver cancer. The expression of SLC10A1 and SLC10A5 was strongly associated with their DNA methylation. SLC10A1 expression was a reliable genetic biomarker for the prediction of survival outcomes in liver cancer population. Expression of SLC10 family genes was remarkably linked with the abundance of most immune infiltrating cells in liver cancer, and SLC10A3 was the most significant member. The multiplexed immunohistochemical technique confirmed that there existed the significant correlations between SLC10A3 protein expression and CD4 T cells, CD20 B cells and the close association with PD-1 in the stromal area from malignant tissues. Conclusion The expressions of SLC10 family genes were different between normal liver tissues and malignant liver tissues, and they were correlated with each other in liver cancer. SLC10A1 possesses the most significant correlation with survival outcomes. SLC10A3 exhibited the most significant relationship with immune cells, as revealed by bioinformatics analysis and multispectral imaging technique.

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The Functional Roles of Immune Cells in Primary Liver Cancer

Cited by 20 publications

References 101 publications

Heterogeneity of Cholangiocarcinoma Immune Biology

Heterogeneity of Cholangiocarcinoma Immune Biology

Risk model of hepatocellular carcinoma based on cuproptosis-related genes

The Clinical Relevance and Immune Correlation of SLC10 Family Genes in Liver Cancer

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