SQSTM1 Expression in Hepatocellular Carcinoma and Relation to Tumor Recurrence After Radiofrequency Ablation

Abdelmoety, Amr Aly; Baddour, Nahed; Salem, Perihan; El-Tobgy, Hesham; El-Shendidi, Assem

doi:10.1016/j.jceh.2021.12.001

Cited by 7 publications

(4 citation statements)

References 49 publications

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“…Previous studies have shown that the expression of p62 is up-regulated in precancerous lesions, which can promote the survival of HCC cells and induce hepatocyte carcinogenesis (20). Hepatocellular carcinoma had much greater levels of SQSTM1 expression than the cirrhotic tissues around the tumor (21). For the mechanism of SQSTM1 in hepatocellular carcinoma, studies have shown that chronic increase of SQSTM1 can prevent cancer initiation cell senescence and death and promote the occurrence of HCC (22).…”

Section: Discussionmentioning

confidence: 99%

Autophagy-related gene SQSTM1 predicts the prognosis of hepatocellular carcinoma

Zheng¹,

Luo

2023

Preprint

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Purpose: Studies have shown a clear correlation between autophagy-related genes and the development and progression of HCC. However, the mechanisms at work are not completely known. Our aim is to construct a prognostic model for HCC and to identify new molecular targets and develop effective therapies for HCC. Methods: Using difference as well as prognostic analysis, a prognostic model was constructed based on lasso regression, and the hub gene SQSTM1 was selected based on PPI, and difference analysis, clinical analysis and drug sensitivity analysis were performed to determine whether SQSTM1 was the key gene for the induction of HCC. Results: Finally, we built a prognostic model using 12 prognostic differential genes. We verified this model and discovered that the prediction was accurate and could be used as a standalone prognostic feature. We also discovered that SQSTM1, a crucial gene among these 12 genes, was inversely correlated with patient prognosis; this suggests that SQSTM1 may function as a separate prognostic factor. Additionally, we discovered that patients with HCC and high SQSTM1 expression are responsive to 17-AGG. Conclusions：We developed a prognosis model based on 12 DEARGS that is predictive and may be applied to predict the prognostic mortality of HCC patients. By identifying the molecular and immunological components of our prognostic model, we were able to pinpoint potential therapeutic targets for HCC treatment. SQSTM1 is also a crucial gene for HCC therapy and for predicting the prognosis of patients. In order to treat hepatocellular cancer, 17-AGG can inhibit SQSTM1's function.

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Section: Discussionmentioning

confidence: 99%

Autophagy-related gene SQSTM1 predicts the prognosis of hepatocellular carcinoma

Zheng¹,

Luo

2023

Preprint

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“…SQSTM1 can activate certain signaling pathways, such as the NF-κB and Nrf2 pathways, which played key roles in the anti-inflammatory response and antioxidant stress response. Aberrant activation of these pathways has been implicated in the carcinogenesis and progression of HCC [ 39 , 40 ]. High SLC7A11 expression may enhance the ability of tumor cells to defend against oxidative stress and promote tumor growth and chemotherapy resistance [ 41 , 42 ].…”

Section: Discussionmentioning

confidence: 99%

Establishing an oxidative stress mitochondria-related prognostic model in hepatocellular carcinoma based on multi-omics characteristics and machine learning computational framework

Wei,

Ma,

Peng

et al. 2024

Discov Onc

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Hepatocellular carcinoma (HCC) has high incidence and mortality rates worldwide. Damaged mitochondria are characterized by the overproduction of reactive oxygen species (ROS), which can promote cancer development. The prognostic value of the interplay between mitochondrial function and oxidative stress in HCC requires further investigation. Gene expression data of HCC samples were collected from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and International Cancer Genome Consortium (ICGC). We screened prognostic oxidative stress mitochondria-related (OSMT) genes at the bulk transcriptome level. Based on multiple machine learning algorithms, we constructed a consensus oxidative stress mitochondria-related signature (OSMTS), which contained 26 genes. In addition, we identified six of these genes as having a suitable prognostic value for OSMTS to reduce the difficulty of clinical application. Univariate and multivariate analyses verified the OSMTS as an independent prognostic factor for overall survival (OS) in HCC patients. The OSMTS-related nomogram demonstrated to be a powerful tool for the clinical diagnosis of HCC. We observed differences in biological function and immune cell infiltration in the tumor microenvironment between the high- and low-risk groups. The highest expression of the OSMTS was detected in hepatocytes at the single-cell transcriptome level. Hepatocytes in the high- and low-risk groups differed significantly in terms of biological function and intercellular communication. Moreover, at the spatial transcriptome level, high expression of OSMTS was mainly in regions enriched in hepatocytes and B cells. Potential drugs targeting specific risk subgroups were identified. Our study revealed that the OSMTS can serve as a promising tool for prognosis prediction and precise intervention in HCC patients.

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“…The gene Sequestosome −1 (SQSTM1) encodes for p62, a component of Mallory Denk Bodies and hyaline granules. SQSTM1 buildup is a sign of defective autophagy, which promotes carcinogenesis [ 150 ]. P62 is a classical receptor of autophagy involved in cell signaling and survival which accumulates in the cytoplasm of damaged liver cells in NASH and HCC [ 151 ].…”

Section: Genetic Predisposition In Hccmentioning

confidence: 99%

Overview of hepatocellular carcinoma: from molecular aspects to future therapeutic options

Panneerselvam,

Wilson,

Kumar

et al. 2023

Cell Adhesion & Migration

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Hepatocellular carcinoma (HCC) is the seventh most highly prevalent malignant tumor globally and the second most common cause of mortality. HCC develops with complex pathways that occur through multistage biological processes. Non-alcoholic fatty liver disease, metabolic-associated fatty liver disease, alcoholic liver disease, autoimmune hepatitis, hepatitis B, and hepatitis C are the causative etiologies of HCC. HCC develops as a result of epigenetic changes, protein-coding gene mutations, and altered signaling pathways. Biomarkers and potential therapeutic targets for HCC open up new possibilities for treating the disease. Immune checkpoint inhibitors are included in the treatment options in combination with molecular targeted therapy.

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SQSTM1 Expression in Hepatocellular Carcinoma and Relation to Tumor Recurrence After Radiofrequency Ablation

Cited by 7 publications

References 49 publications

Autophagy-related gene SQSTM1 predicts the prognosis of hepatocellular carcinoma

Autophagy-related gene SQSTM1 predicts the prognosis of hepatocellular carcinoma

Establishing an oxidative stress mitochondria-related prognostic model in hepatocellular carcinoma based on multi-omics characteristics and machine learning computational framework

Overview of hepatocellular carcinoma: from molecular aspects to future therapeutic options

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