Levels In Hepatocellular Carcinoma Research Articles

USP14 exhibits high expression levels in hepatocellular carcinoma and plays a crucial role in promoting the growth of liver cancer cells through the HK2/AKT/P62 axis

BackgroundHepatocellular carcinoma (HCC) is a common malignant tumor with strong invasiveness and poor prognosis. Previous studies have demonstrated the significant role of USP14 in various solid tumors. However, the role of USP14 in the regulation of HCC development and progression remains unclear.MethodsWe discovered through GEO and TCGA databases that USP14 may play an important role in liver cancer. Using bioinformatics analysis based on the Cancer Genome Atlas (TCGA) database, we screened and identified USP14 as highly expressed in liver cancer. We detected the growth and metastasis of HCC cells promoted by USP14 through clone formation, cell counting kit 8 assay, Transwell assay, and flow cytometry. In addition, we detected the impact of USP14 on the downstream protein kinase B (AKT) and epithelial-mesenchymal transition (EMT) pathways using western blotting. The interaction mechanism between USP14 and HK2 was determined using immunofluorescence and coimmunoprecipitation (CO-IP) experiments.ResultsWe found that sh-USP14 significantly inhibits the proliferation, invasion, and invasion of liver cancer cells, promoting apoptosis. Further exploration revealed that sh-USP14 significantly inhibited the expression of HK2. Sh-USP14 can significantly inhibit the expression of AKT and EMT signals. Further verification through immunofluorescence and CO-IP experiments revealed that USP14 co-expressed with HK2. Further research has found that USP14 regulates the glycolytic function of liver cancer cells by the deubiquitination of HK2. USP14 regulates the autophagy function of liver cancer cells by regulating the interaction between SQSTM1/P62 and HK2.ConclusionsOur results indicate that USP14 plays a crucial role in the carcinogenesis of liver cancer. We also revealed the protein connections between USP14, HK2, and P62 and elucidated the potential mechanisms driving cancer development. The USP14/HK2/P62 axis may be a new therapeutic biomarker for the diagnosis and treatment of HCC.

A gadoxetic acid-enhanced MRI-based model using LI-RADS v2018 features for preoperatively predicting Ki-67 expression in hepatocellular carcinoma

PurposeTo construct a gadoxetic acid-enhanced MRI (EOB-MRI) -based multivariable model to predict Ki-67 expression levels in hepatocellular carcinoma (HCC) using LI-RADS v2018 imaging features.MethodsA total of 121 patients with HCC who underwent EOB-MRI were enrolled in this study. The patients were divided into three groups according to Ki-67 cut-offs: Ki-67 ≥ 20% (n = 86) vs. Ki-67 < 20% (n = 35); Ki-67 ≥ 30% (n = 73) vs. Ki-67 < 30% (n = 48); Ki-67 ≥ 50% (n = 45) vs. Ki-67 < 50% (n = 76). MRI features were analyzed to be associated with high Ki-67 expression using logistic regression to construct multivariable models. The performance characteristic of the models for the prediction of high Ki-67 expression was assessed using receiver operating characteristic curves.ResultsThe presence of mosaic architecture (p = 0.045), the presence of infiltrative appearance (p = 0.039), and the absence of targetoid hepatobiliary phase (HBP, p = 0.035) were independent differential factors for the prediction of high Ki-67 status (≥ 50% vs. < 50%) in HCC patients, while no features could predict high Ki-67 status with thresholds of 20% (≥ 20% vs. < 20%) and 30% (≥ 30% vs. < 30%) (p > 0.05). Four models were constructed including model A (mosaic architecture and infiltrated appearance), model B (mosaic architecture and targetoid HBP), model C (infiltrated appearance and targetoid HBP), and model D (mosaic architecture, infiltrated appearance and targetoid HBP). The model D yielded better diagnostic performance than the model C (0.776 vs. 0.669, p = 0.002), but a comparable AUC than model A (0.776 vs. 0.781, p = 0.855) and model B (0.776 vs. 0.746, p = 0.076).ConclusionsMosaic architecture, infiltrated appearance and targetoid HBP were sensitive imaging features for predicting Ki-67 index ≥ 50% and EOB-MRI model based on LI-RADS v2018 features may be an effective imaging approach for the risk stratification of patients with HCC before surgery.

Identification of a vascular invasion-related signature based on lncRNA pairs for predicting prognosis in hepatocellular carcinoma

ObjectivesMost signatures are constructed on the basis of RNA or protein expression levels. The value of vascular invasion-related signatures based on lncRNA pairs, regardless of their specific expression level in hepatocellular carcinoma (HCC), is not yet clear.MethodsVascular invasion-related differentially expressed lncRNA (DElncRNA) pairs were identified with a two-lncRNA combination strategy by using a novel modeling algorithm. Based on the optimal cutoff value of the ROC curve, patients with HCC were classified into high- and low-risk subgroups. We used KM survival analysis to evaluate the overall survival rate of patients in the high- and low-risk subgroups. The independent indicators of survival were identified using univariate and multivariate Cox analyses.ResultsFive pairs of vascular invasion-related DElncRNAs were selected to develop a predictive model for HCC. High-risk subgroups were closely associated with aggressive clinicopathological characteristics and genes, chemotherapeutic sensitivity, and highly expressed immune checkpoint inhibitors.ConclusionsWe identified a signature composed of 5 pairs of vascular invasion-related lncRNAs that does not require absolute expression levels of lncRNAs and shows promising clinical predictive value for HCC prognosis. This predictive model provides deep insight into the value of vascular invasion-related lncRNAs in prognosis.

Integrated bulk and single-cell transcriptomes reveal pyroptotic signature in prognosis and therapeutic options of hepatocellular carcinoma by combining deep learning.

Although some pyroptosis-related (PR) prognostic models for cancers have been reported, pyroptosis-based features have not been fully discovered at the single-cell level in hepatocellular carcinoma (HCC). In this study, by deeply integrating single-cell and bulk transcriptome data, we systematically investigated significance of the shared pyroptotic signature at both single-cell and bulk levels in HCC prognosis. Based on the pyroptotic signature, a robust PR risk system was constructed to quantify the prognostic risk of individual patient. To further verify capacity of the pyroptotic signature on predicting patients' prognosis, an attention mechanism-based deep neural network classification model was constructed. The mechanisms of prognostic difference in the patients with distinct PR risk were dissected on tumor stemness, cancer pathways, transcriptional regulation, immune infiltration and cell communications. A nomogram model combining PR risk with clinicopathologic data was constructed to evaluate the prognosis of individual patients in clinic. The PR risk could also evaluate therapeutic response to neoadjuvant therapies in HCC patients. In conclusion, the constructed PR risk system enables a comprehensive assessment of tumor microenvironment characteristics, accurate prognosis prediction and rational therapeutic options in HCC.

MIA3 promotes the degradation of GSH (glutathione) by binding to CHAC1, thereby promoting the progression of hepatocellular carcinoma

AbstractMIA3 (melanoma inhibitory active protein 3)/TANGO1 (Golgi transporter component protein) plays an important role in the initiation, development, and metabolism of cancer. We aimed to explore the role and underlying molecular mechanisms of MIA3/TANGO1 in the growth and migration of hepatoma cells. According to the analysis of The Cancer Genome Atlas (TCGA) database, MIA3 is expressed at higher levels in hepatocellular carcinoma (HCC) tissues than in normal tissues. Real-time quantitative polymerase chain reaction (qRT-PCR), immunohistochemistry, and western blotting were used to detect mRNA and protein expression in HCC tissues and cells. The in vitro function of MIA3 in HCC cells was evaluated using Cell Counting Kit-8 (CCK-8), colony formation, cell migration and invasion, and flow cytometry assays. Hep-G2 cells with MIA3 overexpression were subjected to RNA-seq, and the downstream target gene CHAC1 (glutathione-specific γ-glutamyl cyclotransferase 1) was selected according to the results of the volcano map of gene enrichment. The relationship between MIA3 and CHAC1 was revealed by coimmunoprecipitation and confocal microscopy. MIA3 expression was upregulated in HCC organizations and HCC samples in the TCGA dataset. Knocking out MIA3 inhibited the proliferation, migration, and invasion of Hep-G2 cells and promoted the apoptosis of Hep-G2 cells. Overexpression of MIA3 in Huh7 cells promoted the proliferation, migration, and invasion and suppressed the apoptosis of Huh7 cells. Overexpression of MIA3 promoted the expression of CHAC1 and the degradation of glutathione (GSH), thereby promoting the growth and metastasis of HCC cells. Knocking out MIA3 inhibited the expression of CHAC1 and slowed the degradation of glutathione, thereby inhibiting the growth and metastasis of HCC cells. MIA3 further promotes the growth, metastasis, and invasion of hepatoma cells by binding to the CHAC1 protein and promoting GSH degradation.

Kinesin family member 11 promotes progression of hepatocellular carcinoma via the OCT4 pathway.

Hepatocellular carcinoma (HCC) is the tumor with the second highest mortality rate worldwide. Recent research data show that KIF11, a member of the kinesin family (KIF), plays an important role in the progression of various tumors. However, its expression and molecular mechanism in HCC remain elusive. Here, we evaluated the potential role of KIF11 in HCC. The effect of KIF11 was evaluated using the hepatocellular carcinoma cell lines, LM3 and Huh7, after genetic or pharmacological treatment. Evaluating the role of KIF11 in the xenograft animal models using its specific inhibitor. The role of KIF11 was systematically evaluated using specimens obtained from the aforementioned animal and cell models after various in vivo and in vitro experiments. The clinicopathological analysis showed that KIF11 was expressed at high levels in patients with hepatocellular carcinoma. Cell experiments in vitro showed that KIF11 deficiency significantly slowed the proliferation of liver tumor cells. And in the experiment using liver cancer cells overexpressing OCT4, overexpression of OCT4 substantially increased the proliferation of tumor cells compared with tumor cells with KIF11 knockdown alone. Both in vitro cell experiment and in vivo xenotransplantation tumor experiment showed that monastrol, an inhibitor of KIF11, could effectively delay the proliferation and migration of tumor cells. Based on these results, KIF11 is expressed at high levels in hepatocellular carcinoma and promotes tumor proliferation in an OCT4-dependent manner. KIF11 may become a therapeutic target for hepatocellular carcinoma, and its inhibitor monastrol may become a clinical antitumor drug.

Clinicopathological and Prognostic Value of Plasma CD24 Level in Hepatocellular Carcinoma

Abstract Background Hepatocellular carcinoma (HCC) is the sixth most common form of cancer worldwide and the second most common cause of cancer-related deaths. HCC often occurs in the background of a cirrhotic liver. there is an increased incidence of HCC due to the rise of Hepatitis B Virus, HCV infections and chronic alcohol use. Western’s HCC usually developed in cirrhotic liver while over 50% of Asian countries developed in noncirrhotic liver. More recent studies suggest metabolic syndrome, such as type II diabetes and obesity, is an additional risk factor for development of HCC. Aim of the Work The aim of this work is to determine the clinicopathological and prognostic value of plasma CD24 Level in hepatocellular carcinoma to help in choose best treatment, recurrence rate and metastasis. Patients and Methods This case control study was carried out in Ain Shams University on 60 patients divided into two groups, Group (A) that included 20 patients liver cirrhosis without hepatocellular carcinoma and Group (B) that included 40 patients liver cirrhosis with HCC. Results The current study demonstrated that CD24 protein expression was detectable in plasma of HCC patients and the controls, and plasma CD24 level was significantly higher in HCC patients over the controls. Furthermore, plasma CD24 level was associated with tumor differentiation however, it wasnot correlated with other clinic- pathologic parameters including gender, age, tumor size, tumor number, capsulation status, TNM stage, HBsAg status, ALT, AFP and GGT level. The present study showed that plasma CD24 level is higher in HCC patients and it is a valuable biomarker for prognosis of HCC patients. Therefore, CD24 might be used as a potential biomarker for evaluation of postoperative survival. Conclusion It is concluded that plasma CD24 level is higher in HCC patients and it is a valuable biomarker for prognosis of HCC patients. Therefore, CD24 might be used as a potential biomarker for evaluation of postoperative survival of HCC patients.

Thymidine kinase 1 appears to be a marker for the prognosis of hepatocellular carcinoma based on a large-scale, multicenter study.

The aim of this study was to investigate the role of thymidine kinase 1 (TK1) levels in hepatocellular carcinoma (HCC) prognosis and to develop a nomogram for predicting HCC prognosis. In this study, 1066 HCC patients were enrolled between August 2018 and April 2022. TK1 levels were measured within one week before enrollment, and the relationship with HCC prognosis was evaluated. Next, all patients were randomly assigned to the training set (70%, n=746) and the validation set (30%, n=320). We used multivariate Cox analysis to find independent prognostic factors in the training set to construct a nomogram. The predictive power of the nomogram was assessed using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). The optimal critical value of TK1 was determined as 2.35 U/L using X-tile software. Before and after propensity score matching (PSM), the median overall survival (mOS) of the low-TK1 group (<2.35U/L) remained significantly longer than that of the high-TK1 group (≥ 2.35U/L) (48.1 vs 16.5 months, p < 0.001; 75.7 vs 19.8 months, p = 0.001). Moreover, multivariate Cox analysis showed that the low TK1 level was an independent positive prognostic indicator. Additionally, the area under the ROC curve for predicting the 1-year, 2-year, and 3-year survival rates was 0.770, 0.758, and 0.805, respectively. TK1 could serve as a prognostic marker for HCC. In addition, the nomogram showed good predictive capability for HCC prognosis.

Colitis Is Associated with Loss of the Histidine Phosphatase LHPP and Upregulation of Histidine Phosphorylation in Intestinal Epithelial Cells.

Protein histidine phosphorylation (pHis) is a posttranslational modification involved in cell cycle regulation, ion channel activity and phagocytosis. Using novel monoclonal antibodies to detect pHis, we previously reported that the loss of the histidine phosphatase LHPP (phospholysine phosphohistidine inorganic pyrophosphate phosphatase) results in elevated pHis levels in hepatocellular carcinoma. Here, we show that intestinal inflammation correlates with the loss of LHPP in dextran sulfate sodium (DSS)-treated mice and in inflammatory bowel disease (IBD) patients. Increased histidine phosphorylation was observed in intestinal epithelial cells (IECs), as determined by pHis immunofluorescence staining of colon samples from a colitis mouse model. However, the ablation of Lhpp did not cause increased pHis or promote intestinal inflammation under physiological conditions or after DSS treatment. Our observations suggest that increased histidine phosphorylation plays a role in colitis, but the loss of LHPP is not sufficient to increase pHis or to cause inflammation in the intestine.

SIRT3-dependent delactylation of cyclin E2 prevents hepatocellular carcinoma growth.

Lysine lactylation (Kla) is a recently discovered histone mark derived from metabolic lactate. The NAD+ -dependent deacetylase SIRT3, which can also catalyze removal of the lactyl moiety from lysine, is expressed at low levels in hepatocellular carcinoma (HCC) and has been suggested to be an HCC tumor suppressor. Here we report that SIRT3 can delactylate non-histone proteins and suppress HCC development. Using SILAC-based quantitative proteomics, we identify cyclin E2 (CCNE2) as one of the lactylated substrates of SIRT3 in HCC cells. Furthermore, our crystallographic study elucidates the mechanism of CCNE2 K348la delactylation by SIRT3. Our results further suggest that lactylated CCNE2 promotes HCC cell growth, while SIRT3 activation by Honokiol induces HCC cell apoptosis and prevents HCC outgrowth in vivo by regulating Kla levels of CCNE2. Together, our results establish a physiological function of SIRT3 as a delactylase that is important for suppressing HCC, and our structural data could be useful for the future design of activators.

Diffusion-Weighted Imaging as a Quantitative Imaging Biomarker for Predicting Proliferation Rate in Hepatocellular Carcinoma: Developing a Radiomics Nomogram.

This study aimed to explore the predictive performance of diffusion-weighted imaging with apparent diffusion coefficient map in predicting the proliferation rate of hepatocellular carcinoma and to develop a radiomics-based nomogram. This was a single-center retrospective study. A total of 110 patients were enrolled. The sample included 38 patients with low Ki67 expression (Ki67 ≤10%) and 72 with high Ki67 expression (Ki67 >10%) as demonstrated by surgical pathology. Patients were randomly divided into either a training (n = 77) or validation (n = 33) cohort. Diffusion-weighted imaging with apparent diffusion coefficient maps was used to extract radiomic features and the signal intensity values of tumor (SI tumor ), normal liver (SI liver ), and background noise (SI background ) from all samples. Subsequently, the clinical model, radiomic model, and fusion model (with clinical data and radiomic signature) were developed and validated. The area under the curve (AUC) of the clinical model for predicting the Ki67 expression including serum α-fetoprotein level ( P = 0.010), age ( P = 0.015), and signal noise ratio ( P = 0.026) was 0.799 and 0.715 in training and validation cohorts, respectively. The AUC of the radiomic model constructed by 9 selected radiomic features was 0.833 and 0.772 in training and validation cohorts, respectively. The AUC of the fusion model containing serum α-fetoprotein level ( P = 0.011), age ( P = 0.019), and rad score ( P < 0.001) was 0.901 and 0.781 in training and validation cohorts, respectively. Diffusion-weighted imaging as a quantitative imaging biomarker can predict Ki67 expression level in hepatocellular carcinoma across various models.

Fc fragment of IgG binding protein is correlated with immune infiltration levels in hepatocellular carcinoma.

The Fc fragment of IgG binding protein (FCGBP) has been confirmed to play an important role in various cancers. However, the specific role of FCGBP in hepatocellular carcinoma (HCC) remains undefined. Thus, in this study, the enrichment analyses (Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and Gene Set Enrichment Analysis) of FCGBP in HCC and extensive bioinformatic analyses using data of clinicopathologic characteristics, genetic expression and alterations, and immune cell infiltration were perfomed. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to verify the expression of FCGBP in both HCC tissues and cell lines. The subsequent results confirmed thatFCGBP overexpression positively correlated with poor prognosis in patients with HCC. Additionally, FCGBP expression could effectively distinguish tumor tissues from normal tissues, which was verified by qRT-PCR. The result was further confirmed by using HCC cell lines. The time-dependent survival receiver operator characteristic curve exhibited the strong ability of FCGBP to predict survival in patients with HCC. Additionally, we revealed the strong relationship between FCGBP expression and a number of classic regulatory targets and classical oncogenic signaling pathways of tumors. Finally, FCGBP was involved in the regulation of immune infiltration in HCC. Therefore, FCGBP has potential value in the diagnosis, treatment, and prognosis of HCC and may be a potential biomarker or therapeutic target.

Stationary Trend in Elevated Serum Alpha-Fetoprotein Level in Hepatocellular Carcinoma Patients

A recent study from the US showed a decreasing trend in the elevated serum alpha-fetoprotein (AFP) level (i.e., ≥20 ng/mL) in hepatocellular carcinoma (HCC) patients at the time of diagnosis. Furthermore, advanced tumor stage and severe underlying liver disease were associated with elevated AFP levels. We aimed to evaluate this issue in an area endemic for hepatitis B virus (HBV). Between 2011 and 2020, 4031 patients were newly diagnosed with HCC at our institution. After excluding 54 patients with unknown AFP data, the remaining 3977 patients were enrolled in this study. Elevated AFP level was defined as ≥20 ng/mL. Overall, 51.2% of HCC patients had elevated AFP levels; this proportion remained stationary between 2011 and 2020 (51.8% vs. 51.1%). Multivariate analysis showed that female gender (odds ratio (OR) = 1.462; p < 0.001), tumor size per 10 mm increase (OR = 1.155; p < 0.001), multiple tumors (OR = 1.406; p < 0.001), Barcelona Clinic Liver Cancer stages B-D (OR = 1.247; p = 0.019), cirrhosis (OR = 1.288; p = 0.02), total bilirubin > 1.4 mg/dL (OR = 1.218; p = 0.030), and HBV- or hepatitis C virus (HCV)-positive status (OR = 1.720; p < 0.001) were associated with elevated AFP levels. In conclusion, a stationary trend in elevated serum AFP level in HCC patients has been noted in the past 10 years. Advanced tumor stage, severe underlying liver disease, viral etiology, and female gender are associated with elevated AFP levels in HCC patients.

MUC1 promotes lung metastases of liver cancer by impairing anti-tumor immunity

PurposeMUC1 is a membrane bound protein that can regulate tumor progression but its role in tumor metastasis and the metastatic microenvironment remains unclear.MethodsWe performed differential gene analysis for primary liver cancer (n = 31) and lung metastases (n = 31) using the Gene Expression Omnibus (GEO) dataset (GSE141016) and obtained RNA sequencing data from 374 liver cancer and 50 normal tissues from The Cancer Genome Atlas (TCGA). We analyzed the prognostic value of MUC1 and the relationship between MUC1 and the TME using online databases and a clinical cohort. Immunohistochemistry detected MUC1 in normal liver, liver cancer, and lung metastases. Multiplex immunohistochemistry staining detected immune cells in the metastatic microenvironment.ResultsHigh MUC1 expression levels in hepatocellular carcinoma are associated with worse clinical prognosis and higher rates of lung metastasis. In addition, we observed a correlation between MUC1 and multiple immune cells in the metastatic microenvironment. In paired primary liver cancer and lung metastatic tumor tissues from the same patient, we observed higher MUC1 protein levels in lung metastases than in primary liver cancer. Furthermore, MUC1 was negatively correlated with CD8+T and Treg cells in the metastatic tumor microenvironment and positively correlated with DC. In addition, we found that MUC1 was associated with CD8+T cell activation and function using flow cytometry in another cohort of patients with liver cancer.ConclusionThese data confirm the potential of MUC1 as a prognostic marker and therapeutic target.

Cholesterol and C-reactive protein prognostic score predicted prognosis of immune checkpoint inhibitors based interventional therapies for intermediate-to-advanced hepatocellular carcinoma patients

Serum cholesterol (CHO) and C-reactive protein (CRP) have been successfully used as prognostic predictors for several malignancies, respectively. However, the clinicopathological significance of CHO and CRP levels in hepatocellular carcinoma (HCC) patients treated with ICIs-based hepatic artery infusion chemotherapy (HAIC) remains unclear. Serum CHO and CRP levels were measured for a total of 152 HCC patients that had been treated with ICIs-based HAIC from February 2019 to April 2020. Efficacy was evaluated according to tumor response and survival. The median OS was not reached in the CHO-low subgroup and 17.7months in the CHO-high subgroup (P=0.015). The median OS was not reached in the CRP-low subgroup and 20.0months in the CRP-high subgroup (P=0.010). Univariate and multivariate Cox regression analysis demonstrated that both serum CHO and CRP levels were independent risk factors for the OS of HCC patients treated with ICIs-based HAIC (P<0.05). Moreover, Cox regression analysis after Propensity Score Matching showed the similar results. CHO and CRP prognostic score (CCPS) combining CHO and CRP levels could significantly stratify HCC patients receiving ICIs-based HAIC into low-, intermediate-, and high-risk subgroups (P<0.001). Patients in the risk subgroups reported similar disease control rates (P=0.121) and significantly different overall response rates (low- vs intermediate- vs high-risk groups: 70.6% vs 46.6% vs 44.1%, respectively, P=0.038) according to modified Response Evaluation Criteria in Solid Tumors (mRECIST). The results of this study support the association between CCPS high risk with the response and OS for HCC patients receiving ICIs-based HAIC.

DKK1 promotes NUAK1 transcriptional expression through the activation Akt in hepatocellular carcinoma.

NUAK1 is a serine/threonine kinase that has been shown to be associated with poor prognosis in several cancers. Although NUAK1 is frequently overexpressed at the transcript level in hepatocellular carcinoma (HCC), the actual role of NUAK1 and the mechanism of its overexpression in HCC has yet to be reported. In the present study, we found that NUAK1 expression was significantly increased in human HCC tumor tissues. Overexpression of NUAK1 dramatically enhanced HCC cells proliferation and migration in vitro. Stable induction of NUAK1 expression promoted tumor growth and tumor metastases to the lungs in the subcutaneous xenograft models and intravenous metastasis models. At the cellular level, enforced expression of Dickkopf-1 (DKK1) activated the Akt signaling pathway, thereby promoting the mRNA and protein expression of NUAK1 in HCC cells. By contrast, depletion of DKK1 was found to attenuate the mRNA and protein expression of NUAK1. In the subcutaneous xenograft models, stable induction of DKK1 expression not only accelerated tumor growth but also increased p-Akt and NUAK1 expression; whereas knockdown of DKK1 inhibited tumor growth, p-Akt and NUAK1 expression. Furthermore, immunohistochemical analysis of 20 HCC clinical samples showed that the expression level of NUAK1 was positively correlated with DKK1 and p-Akt. Taken together, we provide the first evidence that DKK1 promotes NUAK1 transcriptional expression via the activation Akt in HCC.

Pan-cancer analysis of trophinin-associated protein with potential implications in clinical significance, prognosis, and tumor microenvironment in human cancers

Trophinin-associated protein (TROAP), a cytoplasmic protein, is essential for microtubule cytoskeleton assembly. Mounting evidence demonstrates the vital role of TROAP in regulating the proliferation and migration of cells, but it is unclear how it contributes to cancer progression. The online portals of GEPIA2, Cancer Cell Line Encyclopedia, UALCAN, Human Protein Atlas, and PrognoScan were used to analyze TROAP expression in various tumors and further evaluate its correlation with prognosis. With Western blot and quantitative real-time PCR analysis, we validated TROAP expression levels in hepatocellular carcinoma (HCC) and colorectal cancer (CRC). Ten pairs of HCC and CRC tissues were selected for immunohistochemistry to determine TROAP expression levels in tumors and adjacent tissues, respectively. TROAP knockdown in CRC and HCC cells to verify its role in malignant phenotypes. The genomic and post-transcriptional alterations of TROAP in tumors were determined using the cBioPortal and SangerBox databases. Also, TISIDB was used to investigate the relationship between TROAP expression and tumor microenvironment(TME) among different cancer types. Moreover, a correlation was found between the expression of TROAP and drug sensitivity using GSCALite and CellMiner databases. TROAP expression was significantly upregulated in most cancer types, which is consistent with our validated experimental results in HCC and CRC cells, and immunohistochemistry results. And a poor prognosis was linked to TROAP aberrant expression. Our findings indicated that malignant phenotypes and tumorigenesis induced by TROAP could be due to an activation of the PI3K/Akt/GSK-3β signaling pathway. Furthermore, we found a correlation between TROAP expression and genomic and post-transcriptional alterations in various tumors, including tumor mutation burden, and microsatellite instability. Next, we demonstrated that TROAP expression was associated with the infiltration of immune cells, such as neutrophils and macrophages, and correlated with immunomodulation-related genes in the TME. Additionally, the potential role of TROAP expression in predicting the sensitivity of drugs, including melphalan and chlorambucil, was demonstrated. Collectively, these findings indicated a significant correlation between TROAP expression and malignant phenotype, functional mechanism, survival possibility, TME, therapeutic potential, and prediction of drug sensitivity in various cancers. Hence, TROAP is a promising biomarker and therapeutic target for predicting cancer outcomes.

Correlation of Abdominal CT scan Score and Alpha-fetoprotein Levels in Hepatocellular Carcinoma

Objective: To assess the correlation between the Alpha-fetoprotein (AFP) level and characteristics of liver lesions listed in the abdominal computed tomography (CT) scan scores in hepatocellular carcinoma.Methods: This was a retrospective analytic observational study with a cross-sectional design conducted at Sanglah Hospital in January 2017–January 2021. Subjects were patients diagnosed with hepatocellular carcinoma based on clinical and laboratory features. Samples were taken by consecutive sampling. The results of the abdominal CT scan were read by two radiologists with a predetermined abdominal CT scan scoring system. The AFP level data were taken at a maximum of 5 days before an abdominal CT scan was performed.Results: A total of 64 subjects were included in this study. The mean serum AFP level was 1,000 IU/mL (range 0.54–61830 IU/mL). The mean abdominal CT scan score by examiner one was 10.093±5.59, while the examiner two provided a score of 10.281±5.45. The difference in mean CT scan scores between the two examiners was very low and insignificant (mean difference score -0.188; 95% CI -1.894–1.519). The rho Spearman value was 0.918 (p&lt;0.001) between serum AFP levels and abdominal CT scan scores. In the partial correlation, the value of r=0.678 (p&lt;0.001) was obtained after controlling for body mass index (BMI), age, and sex variables.Conclusions: There is a strong positive correlation between serum AFP levels and abdominal CT scan scores in hepatocellular carcinoma patients. Further research is needed with a prospective design to reduce research bias.

Rcl1 suppresses tumor progression of hepatocellular carcinoma: a comprehensive analysis of bioinformatics and in vitro experiments

BackgroundRNA 3’-terminal phosphate cyclase-like protein (Rcl1) is involved in pre-rRNA processing, but its implication in cancers remains unclear.MethodsRCL1 expressions in 21 malignancies was examinated through GEPIA website portal. Clinical implication data related to RCL1 level in Hepatocellular Carcinoma (HCC) samples were downloaded through TCGA, ICGC, GEO databases. Survival analysis and gene function enrichment analyses were performed through R software. The correlation between RCL1 expression and tumor immune infiltration was assessed via the TIMER2.0 database. The effects of Rcl1 overexpression or knockdown on cell growth and metastasis was evaluated by CCK8, transwell, and cell cycle assays.ResultsRCL1 expression is commonly down-regulated in HCC. The lower expression of RCL1 is associated with higher tumor stage, higher AFP level, vascular invasion, and poor prognosis. RCL1 expression has a significant correlation with immune cells infiltration in HCC, especially myeloid-derived suppressor cell (MDSC). Moreover, it was further identified that Rcl1 expression was reduced in HCC cell lines and negatively correlated with invasion of HCC cell lines. Immunofluorescence (IF) analysis revealed that the level of Rcl1 expression in the cytoplasm of HCC cells is significantly lower than that in the cytoplasm of L-02 cell. Moreover, both gain- and loss-of-function studies demonstrated that Rcl1 inhibited the growth and metastasis of HCC cells and regulated cell cycle progression in vitro.ConclusionsRcl1 may serve as a novel tumor suppressor in HCC, and its biological effect needs further study.

C-Reactive Protein Levels Predict Responses to PD-1 Inhibitors in Hepatocellular Carcinoma Patients.

BackgroundSerum C-reactive protein (CRP) is a biomarker of an acute inflammatory response and has been successfully used as a prognostic predictor for several malignancies. However, the clinicopathological significance of CRP levels in hepatocellular carcinoma (HCC) patients being treated with PD-1 inhibitors remains unclear.MethodsSerum CRP levels were measured for a total of 101 HCC patients that had been treated with PD-1 inhibitors from July 2018 to November 2019. The clinicopathological data was retrospectively analyzed to identify any clinical implications between CRP levels and responses to PD-1 inhibitors and patients’ progression-free survival (PFS).ResultsThe median PFS was 8.87 months in the CRP-low subgroup and 3.67 months in the CRP-high subgroup (P = 0.009). Univariate and multivariate Cox regression analysis demonstrated that both serum CRP and AFP levels were independent risk factors for the PFS of HCC patients treated with PD-1 inhibitors (P < 0.05). Moreover, Cox regression analysis after Propensity Score Matching showed the similar results. A prognostic model combining CRP and AFP levels could significantly stratify HCC patients receiving PD-1 inhibitors into low-, intermediate-, and high-risk subgroups (P < 0.001). Patients in the risk subgroups reported similar overall response rates (P = 0.625) and significantly different disease control rates (low- vs. intermediate- vs. high-risk groups: 81.6% vs. 65.1% vs. 35%, respectively, P = 0.002).ConclusionsThe results of this study support the association between high serum CRP levels with the response and PFS for HCC patients receiving PD-1 inhibitors. Furthermore, the levels of both CRP and AFP in an HCC patient before treatment initiation show great potential for determining the efficacy of PD-1 inhibitors.