HN1 as a diagnostic and prognostic biomarker for liver cancer

Validation of Two Prognostic Gene Scores in Patients Undergoing Liver Resection for Hepatocellular Carcinoma

Background/Aims

Several prognostic gene signatures have been proposed as predictors of the prognosis of hepatocellular carcinoma (HCC), yet none are implemented in the clinical setting. We aimed to validate two gene scores previously derived from European cohorts.

Methods

The patients who underwent liver resection for HCC at Copenhagen University Hospital, Rigshospitalet from 2014 to 2018 were included. RNA sequencing determined the expression of genes in the '5-gene score' (HN1, RAN, RAMP3, KRT19, TAF9B) and 'HepatoPredict' (CLU, DPT, SPRY2, CAPSN1). Univariable Cox regression assessed associations with overall and disease-free survival. These parameters were also analyzed in the The Cancer Genome Atlas Liver Hepatocellular Carcinoma (TCGA-LIHC) (n = 359) and National Institute of Health (NIH) (n = 178) cohorts.

Results

Among 51 patients (88% male), 59% had no underlying liver disease and 25% had cirrhosis. No individual genes were significantly associated with overall survival in the Danish cohort. In the TCGA-LIHC cohort, CLU was linked to better overall survival, and in the NIH cohort, high expression of SPRY2 was associated with poorer overall survival. In the TCGA-LIHC cohort, HN1, RAN, and TAF9B were associated with poorer overall survival, while RAMP3 was linked to better overall survival. No genes were associated with disease-free survival.

Conclusion

Few individual genes significantly predicted survival in the larger cohorts, and none in the Danish cohort. However, the clinical implication of this needs further investigation.

Knocking Down HN1 Blocks Helicobacter pylori-Induced Malignant Phenotypes in Gastric Mucosal Cells and Inhibits Gastric Cancer Cell Proliferation, Cytoskeleton Remodeling, and Migration

Helicobacter pylori (H. pylori) is implicated in the aberrant proliferation and malignant transformation of gastric mucosal cells, heightening the risk of gastric cancer (GC). HN1 is involved in the development of various tumors. However, precise mechanistic underpinnings of HN1 promoting GC progression in H. pylori remain elusive. The study collected 79 tissue samples of GC patients, including 47 with H. pylori-positive GC and 32 H. pylori-negative controls. Using human gastric epithelial cells (GES-1) and human gastric adenocarcinoma cells (HGC-27), the effect of overexpression / knocking down of HN1 and H. pylori infection was evaluated on cell function (proliferation, migration, apoptosis), cytoskeleton, and expression of cell malignant phenotype factors that promote the malignant biological behavior of cancer cells. The expression of HN1 in GC tissues is higher than that in paracancerous tissue and is closely related to infiltration, lymphatic metastasis, distant metastasis, survival, and H. pylori infection. Downregulation of HN1 effectively hinders the ability of H. pylori strains 26695 and SS1 to promote migration of GES-1 and HGC-27 cells, while lowering the expression of key indicators associated with malignant phenotype. Downregulated GSK3B, β-catenin, and Vimentin after knockdown Integrinβ1, but HN1 expression remained largely unchanged, when HN1 and Integrinβ1 were knocked down, GSK3B, β-catenin, and Vimentin expression were considerably reduced. Our research demonstrated the crucial role of HN1 in H. pylori-induced acquisition of a malignant phenotype in GES-1 cells. Knockdown of HN1 blocked the pathogenic mechanism of H. pylori-induced GC and downregulated the expression of GSK3Β, β-catenin and Vimentin via Integrin β1.

HN1 Functions in Protein Synthesis Regulation via mTOR-RPS6 Axis and Maintains Nucleolar Integrity

Haematological and Neurological Expressed 1 (HN1) is an oncogene for various cancers and previously has been linked with centrosome clustering and cell cycle pathways. Moreover, HN1 has recently been reported to activate mTOR signalling, which is the regulator of ribosome biogenesis and maintenance. We explored the role of HN1 in mTOR signalling through various gain- and loss-of-function experiments using biochemical approaches in different cell lines. We demonstrated for the first time that HN1 is required for nucleolar organiser region (NOR) integrity and function. Immunoprecipitation-based association and colocalization studies demonstrated that HN1 is an important component of the mTOR-RPS6 axis, and its depletion results with reduced mRNA translation in mammalian cancer cell lines. This study also demonstrated that the depletion of HN1 leads to the irregular distribution of nucleolar structures, potentially leading to cell cycle deregulation as reported previously. Accordingly, components of the translation machinery aggregate with a distinct speckled pattern, lose their essential interactions and ultimately impair mRNA translation efficiency when the HN1 is depleted. These results suggest that HN1 is an essential component of the nucleolus, required for ribosome biogenesis as well as global mRNA translation.

Construction and validation of senescence risk score signature as a novel biomarker in liver hepatocellular carcinoma: a bioinformatic analysis

Background

Globally, liver cancer as one of the most frequent fatal malignancies, hits hard and fast. And the lack of effective treatments for liver hepatocellular carcinoma (LIHC), activates the researchers to promote promising precision medicine. Interestingly, emerging evidence proves that cellular senescence is involved in the progression of cancers and is recognized for its hallmark-promoting capabilities. Hence, efforts have been made to construct and validate the senescence risk score signature (SRSS) model as a novel prognostic biomarker for LIHC.

Methods

The existing databases were mined for the following bioinformatics analyses. GSE22405, GSE57957, and senescence-related genes (SRGs) from public databases were utilized as a training set and the validation set was constituted by LIHC and pancreatic adenocarcinoma (PAAD) from The Cancer Genome Atlas (TCGA). After overlapping differentially expressed genes (DEGs) with SRGs, differentially expressed SRGs were identified with the progression of liver cancer through univariate and multivariate Cox regression and enrichment analyses. The model that utilized three SRGs was constructed using the least absolute shrinkage and selection operator (LASSO) regression algorithm. Next, to evaluate the predictive performance of the SRSS model, the overall survival (OS) and survival rates were assessed through Kaplan-Meier (KM) and the receiver operating characteristic (ROC) curves. The predictive value for LIHC prognosis was further evaluated by capitalizing on risk score, nomograms, decision curve analysis (DCA) curves, and clinical information including tumor stages, gender, age, and race.

Results

DEGs were revealed as enriching in multiple tumor-related biological processes (BPs) and pathways. IGFBP3, SOCS2, and RACGAP1 were identified as the three considerable SRGs for the model. The high-risk group had a worse prognosis [both hazard ratio (HR) >1, P<0.001] and ROC curves showed a reliable predictive model with area under the curve (AUC) predictive values ranging from 0.673-0.816 for different-year survival rates respectively. The univariate and multivariate Cox regression analyses exhibited that risk score was the only credible prognostic predictor (HR >1, P<0.001) among clinical features such as tumor stage, age, etc., in LIHC. The nomograms, and DCA curves, combined with multiple clinical information, proved that the predictive ability of SRSS was strongest, followed by nomogram and traditional tumor node metastasis (TNM) stage was the weakest.

Conclusions

In summary, comprehensive analyses supported that the SRSS model can better predict survival and risk in LIHC patients. Promisingly, it may point out a brand-new direction for LIHC therapy.

Role of hematological and neurological expressed 1 (HN1) in human cancers

Hematological and neurological expressed 1 (HN1), also known as Jupiter microtubule associated homolog 1 (JPT1), is a highly conserved protein with widespread expression in various tissues. Ectopic elevation of HN1 has been observed in multiple cancers, highlighting its role in tumorigenesis and progression. Both proteomics and transcriptomics reveal that HN1 is closely associated with severe disease progression, poor prognostic and shorter overall survival. HN1's involvement in cancer cell proliferation and metastasis has been extensively investigated. Overexpression of HN1 is associated with increased tumor growth and disease progression, while its depletion leads to cell cycle arrest and apoptosis. The pivotal role of HN1 in cancer progression, particularly in proliferation, migration, and invasion, underscores its significance in cancer metastasis. Validation of the efficacy and safety of HN1 inhibition, along with the development of diagnostic methods to determine HN1 expression levels in patients, is essential for the translation of HN1-targeted therapies into clinical practice. Overall, HN1 emerges as a valuable prognostic marker and therapeutic target in cancer, and further investigations hold the potential to improve patient outcomes by impeding metastasis and enhancing treatment strategies.

Matrine exerts an anti-tumor effect via regulating HN1 in triple breast cancer both in vitro and in vivo

The treatment of triple-negative breast cancer (TNBC) cannot meet medical needs, and it is urgent to find new drugs for intervention. This study aimed to investigate the anti-tumor effect of matrine on the proliferation and apoptosis of TNBC cells based on HN1 regulation in vitro and in vivo. TNBC cell lines (MDA-MB-453 and HCC-1806) were treated with varying concentrations of matrine (0, 1.0, 2.0, 3.0, 4.0, and 5.0 mM). CCK-8, colony formation assay, transwell assay, and flow cytometry assay were employed to detect proliferation, clone formation, invasion, and apoptosis of TNBC cells. Western blot analysis was applied to detect the protein expression of apoptosis HN1. The effects of matrine on tumor growth, protein expression of HN1, and apoptosis in vivo were validated by xenograft tumor models and histology. It was found that matrine inhibited proliferation, colony formation, and invasion and promoted apoptosis of TNBC cells in vitro. HN1 expression was suppressed by matrine. HN1 overexpression perceptibly reversed the above-mentioned additive effect in vitro. In vivo experiments found that matrine inhibited tumor growth and the expression of HN1 protein but promoted the protein expression of Cleared-Caspase-3. Above all, this study demonstrated that matrine inhibited proliferation and promoted apoptosis of TNBC cells via suppressing HN1 expression. Targeting HN1 by matrine may provide new insights into the therapeutic management of patients with TNBC.

Circular RNAs in hepatocellular carcinoma: Recent advances

Circular RNAs (circRNAs) have covalently closed loop structures at both ends, exhibiting characteristics dissimilar to those of linear RNAs. Emerging evidence suggests that aberrantly expressed circRNAs play crucial roles in hepatocellular carcinoma (HCC) by affecting the proliferation, apoptosis and invasive capacity of HCC cells. Certain circRNAs may be used as biomarkers to diagnose and predict the prognosis of HCC. Therefore, circRNAs are expected to become novel biomarkers and therapeutic targets for HCC. Herein, we briefly review the characteristics and biological functions of circRNAs, focusing on their roles in HCC to provide new insights for the early diagnosis and targeted therapy of HCC.

The HN1/HMGB1 axis promotes the proliferation and metastasis of hepatocellular carcinoma and attenuates the chemosensitivity to oxaliplatin

Hematological and neurological expressed 1 (HN1) is closely associated with the proliferation and metastasis of various tumors. However, the physiological functions and clinical significance of HN1 in hepatocellular carcinoma (HCC) remain indistinct. In this study, we investigated the role of HN1 in the pathogenesis of HCC and the underlying mechanism using clinical data from HCC patients, in vitro experiments utilizing HCC cell lines and in vivo animal models. We demonstrated that the overexpressed HN1 in HCC was correlated with patients' adverse outcomes. The gain and loss of function experiments indicated that HN1 could promote the proliferation, migration, and invasion of HCC cells in vitro. Furthermore, we found that HN1 knockdown sensitized HCC cells to oxaliplatin. Mechanically, HN1 prevented HMGB1 protein from ubiquitination and degradation via the autophagy-lysosome pathway, which was related to the interaction between HN1 protein and TRIM28 protein. In the nucleus, the downregulation of HMGB1 followed by HN1 knockdown resulted in increased DNA damage and cell death in the oxaliplatin-treated HCC cells. In the cytoplasm, HN1 regulated autophagy via HMGB1. Furthermore, HN1 knockdown in combination with HMGB1 overexpression restored the aggressive phenotypes of HCC cells and the sensitivity of these cells to oxaliplatin. HN1 knockdown inhibited the tumor growth and metastasis, and promoted the anticancer efficiency of oxaliplatin in vivo. In conclusion, our data suggest that the HN1/HMGB1 axis plays an important role in the development/progression and chemotherapy of HCC. Our findings indicate that the HN1/HMGB1 axis may be a promising therapeutic target for HCC treatment.

A Panel of E2F Target Gene Signature Predicting the Prognosis of Hepatocellular Carcinoma

Hepatocellular carcinoma is one of the most malignant tumors, and the therapeutic effects of traditional treatments are poor. It is urgent to explore and identify new biomarkers and therapeutic targets to develop novel treatments which are individualized and effective. Three hallmarks, including E2F targets, G2M checkpoint and DNA repair, were collected by GSEA analysis. The panel of E2F-related gene signature consisted of five genes: HN1, KIF4A, CDCA3, CDCA8 and SSRP1. They had various mutation rates ranging from 0.8 to 5% in hepatocellular carcinoma, and patients with gene mutation had poorer prognosis. Among these genes, HN1 has the greatest mutation rate, and SSRP1 has the greatest impact on the model with a B (COX) value of 0.8842. Patients with higher expression of these genes had poorer prognosis. Kaplan-Meier curves in stratified survival analysis confirmed that patients with high risk scores had poor prognosis (p < 0.05). The results of univariate and multivariate COX survival analysis showed that risk score was closely related to the overall survival of patients with hepatocellular carcinoma. For clinical validation, we found that all the genes in the model were upregulated in hepatocellular carcinoma tissues compared to normal liver tissues, which was consistent with the previous results we obtained. Our study demonstrated that a panel of E2F target genes signature including five genes could predict the prognosis of hepatocellular carcinoma. This panel gene signature can facilitate the development of individualized and effective treatment for hepatocellular carcinoma.