Osteopontin Takes Center Stage in Chronic Liver Disease

Song, Zhuolun; Chen, Wei; Athavale, Dipti; Ge, Xiaodong; Désert, Romain; Das, Subodh K.; Han, Hui; Nieto, Natalia

doi:10.1002/hep.31582

Cited by 99 publications

(103 citation statements)

References 79 publications

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“…The effects of STAT-1 and STAT-3 in this setting are dissociated, with STAT-1 driving T cell infiltration and fibrosis, whereas STAT-3 is linked to increased cancer development. Signaling by nuclear factor of activated T cells (NFATc4) similarly downregulates PPARa, preventing fatty acid oxidation, which leads to secretion of osteopontin 1, which, in turn, can activate stellate cells (Du et al, 2020;Song et al, 2020b).…”

Section: Role Of the Gut Microbiota In Development Of Nafld And Nashmentioning

confidence: 99%

Mechanisms and disease consequences of nonalcoholic fatty liver disease

Loomba

Friedman

Shulman³

2021

Cell

886

778

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Section: Role Of the Gut Microbiota In Development Of Nafld And Nashmentioning

confidence: 99%

Mechanisms and disease consequences of nonalcoholic fatty liver disease

Loomba

Friedman

Shulman³

2021

Cell

886

778

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“…It was positively correlated with the degree of liver fibrosis and inflammation in patients with AIH and PBC. As is well known, liver fibrosis and inflammation are some of the key pathological features of chronic liver diseases [ 33 ]. This finding suggests that hepatic CD11b+CD33+ MDSCs may be involved in the progression of chronic liver disease.…”

Section: Discussionmentioning

confidence: 99%

The Relationship between Hepatic Myeloid-Derived Suppressor Cells and Clinicopathological Parameters in Patients with Chronic Liver Disease

Zhou

Lai

Zhang

et al. 2021

BioMed Research International

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Myeloid-derived suppressor cells (MDSCs) have attracted attention due to their important role in inflammation. Several studies have investigated the involvement of MDSCs in chronic liver disease. However, due to the difference of MDSC phenotypes, patient types, and sample sources among the studies, the results are inconsistent and controversial. We took advantage of a large well-defined cohort of 98 (24 patients with CHB, 18 with NAFLD, 13 with HCC, 16 with PBC, and 27 with AIH) patients with liver inflammation and 12 healthy controls to investigate the expression of MDSCs, and the relationships between the expression of hepatic MDSCs and the clinical characteristics were analyzed. We found that the expression of CD11b+CD33+ MDSCs is closely related to chronic liver disease and positively correlated with clinical parameters such as ALT, AST, and globulin. Ultimately, the present study suggests that hepatic CD11b+CD33+ MDSCs are increased in HCC and AIH and positively correlate with the liver stages of hepatitis activity and liver fibrosis stage.

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“…Osteopontin overexpression increases proliferation, stem-like properties, glycolysis, and resistance to chemotherapy of HCC cells, which correlates with poor prognosis of HCC patients [34]. Importantly, osteopontin can associate with HIF-1α to promote tumorigenesis [34]. In addition, it plays a critical role in the formation of immunosuppressive microenvironment of HCC [35].…”

Section: Discussionmentioning

confidence: 99%

Hypoxia-Related Immune Gene Signature Predicting Prognosis in Patients With Hepatocellular Carcinoma

Zhou

Yang

Liu

et al. 2021

Preprint

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BackgroundHepatocellular carcinoma (HCC) remains a global health challenge. Increasing evidence indicates that hypoxia is crucial in the evolution and progression of HCC by regulating the tumor immune microenvironment. The present study aimed to construct a prognostic relevant hypoxia-related immune gene (HRIG) signature. MethodsWe analyzed the expression profile of the 163 HRIGs and clinical information of 371 patients with HCC obtained from The Cancer Genome Atlas (TCGA). Then, consensus clustering analysis was performed to divide HCC patients into clusters 1 and 2 based on the HRIG expression. Subsequently, A multigene signature was constructed by Least absolute shrinkage and selection operator (LASSO) Cox regression analyses. Then, we evaluated the prognostic capability of this signature by Kaplan-Meier analysis, univariate Cox regression and multivariate Cox regression. The prognostic value of the signature was validated in the International Cancer Genome Consortium (ICGC) database. Furthermore, the functional enrichment analyses were preformed to elucidate their biological significance. Finally, we evaluated the infiltration of immune cells and the sensitivity of administrating chemotherapeutic agents.ResultsA total of 37 prognosis-related HRIGs were obtained. Subsequently, we constructed an 8-gene signature on the basis of prognosis-related HRIGs, which had a good performance in predicting the overall survival of patients with HCC. In addition, the signature expressed robust when validated in ICGC. The results revealed that these genes involved in some of the HCC-related pathways and was associated with the infiltration of immune cell subtypes. More importantly, the identified model was linked to the sensitivity of some chemotherapeutic agents. ConclusionsHRIG signature is an effective predictor for the prognosis of patients with HCC.

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Osteopontin Takes Center Stage in Chronic Liver Disease

Cited by 99 publications

References 79 publications

Mechanisms and disease consequences of nonalcoholic fatty liver disease

Mechanisms and disease consequences of nonalcoholic fatty liver disease

The Relationship between Hepatic Myeloid-Derived Suppressor Cells and Clinicopathological Parameters in Patients with Chronic Liver Disease

Hypoxia-Related Immune Gene Signature Predicting Prognosis in Patients With Hepatocellular Carcinoma

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