Liensinine inhibits progression of intrahepatic cholangiocarcinoma by regulating TGF-ß1 /P-smad3 signaling through HIF-1a.

Intrahepatic cholangiocarcinoma (ICC) is a high-grade malignant digestive system tumor with an insidious onset and unfavorable prognosis. Liensinine, a small molecule derived from plants, has been proven to have significant tumor suppressor activity in other cancers. However, there are no reports on whether liensinine can inhibit the proliferation or metastasis of ICC. This study aimed to explore the tumor-suppressive activity of liensinine in ICC and its underlying mechanisms. The phenotypic changes in ICC cells were monitored in vitro using cell function tests. Western blot and immunofluorescence analyses verified the efficacy of liensinine. Tumor-bearing nude mice were used to explore the effect of liensinine on tumors and its toxicity and side effects in vivo. Liensinine suppressed ICC cell proliferation and arrested the cell cycle at the G1 phase. The epithelial-mesenchymal transition (EMT) of ICC cells was also inhibited, thereby restraining their invasion and migration of tumor cells. In addition, this study found that the potential mechanism of liensinine inhibiting EMT may be via suppression of the TGF-ß1/P-smad3 signaling pathway through hypoxia-inducible factor 1 alpha (HIF-1a). In vivo experiments showed that liensinine inhibited the growth of Hucc-T1 transplanted tumors in nude mice. Liensinine restrained the proliferation of ICC cells and suppressed EMT in ICC via the HIF-1a-mediated TGF-ß1/P-smad3 signaling pathway.

ZIC2 promotes colorectal cancer growth and metastasis through the TGF-ß signaling pathway.

ZIC2 is involved in the tumor progression of many types of cancers. The role of ZIC2 in the metastasis of colorectal cancer and its mechanism are not yet clear. In this study, we found that high ZIC2 expression was not only associated with poor prognosis, relapse-free survival and advanced metastasis but was also an independent prognostic factor in colorectal cancer patients. Moreover, ZIC2 knockdown inhibited cell proliferation, migration and invasion, while the upregulation of ZIC2 had the opposite effect in vitro. ZIC2 overexpression induced TGF-ß1 expression and increased Smad3 phosphorylation. The carcinogenic effects of elevated ZIC2 expression can be eliminated by interfering with the TGF-ß1 receptor with inhibitors. This further verified the promoting effect of ZIC2 on the TGF-ß signaling pathway. In vivo experiments have also confirmed that ZIC2 can promote liver metastases of colorectal cancer. The results suggest that ZIC2 is associated with poor prognosis and relapse-free survival in colorectal cancer patients. Moreover, ZIC2 promoted colorectal cancer progression and metastasis by activating the TGF-ß signaling pathway. Hence, ZIC2 is expected to be a new therapeutic and prognostic target for colorectal cancer in the future.

Exploration and validation of a novel ferroptosis-related gene signature predicting the prognosis of intrahepatic cholangiocarcinoma.

Ferroptosis plays an important role in intrahepatic cholangiocarcinoma (ICC). We aim to develop a new ferroptosis-related gene signature predicting the prognosis of ICC. We download RNA expression profiles and clinical data of ICC from TCGA and GEO databases. Ferroptosis-related differentially expressed genes (DEGs) are screened by the Wilcoxon signed-rank test. GO and KEGG enrichment analyses are performed to understand the function of DEGs and co-expressed genes. Univariate Cox and LASSO regression are used to develop a ferroptosis-related gene signature. Receiver operating characteristic (ROC) curves and Kaplan-Meier (KM) analysis were used to evaluate the prognostic value. RNA sequencing is performed in 30 patients with ICC in our medical center to validate the prognostic value of the gene signature. We identify 44 ferroptosis-related DEGs, among which four (ACSL4, IREB2, NFE2L2, and TP53) are associated with overall survival (OS). Functional enrichment analysis shows that ferroptosis-associated DEGs have an important impact on ICC carcinogenesis. A new ferroptosis-related gene signature based on DEGs is built, and the prognostic ability is confirmed by KM and ROC curves (AUC=0.777, 0.75, 0.799 for 12, 24, and 36 months, respectively). Patients with high risk scores have worse OS ( P=0.0081). In the validation cohort, the expression of DEGs is in accordance with that in the exploration cohort. The four-gene signature is also demonstrated to have a favorable prognostic value (AUC=0.69). A new predictive model based on four ferroptosis-related genes (ACSL4, IREB2, NFE2L2, and TP53) is established and shows favorable prognostic value.

Metabolic syndrome related gene signature predicts the prognosis of patients with pancreatic ductal carcinoma. A novel link between metabolic dysregulation and pancreatic ductal carcinoma.

BACKGROUND: Pancreatic cancer is one of the most common malignancies worldwide. In recent years, specific metabolic activities, which involves the development of tumor, caused wide public concern. In this study, we wish to explore the correlation between metabolism and progression of tumor. METHODS: A retrospective analysis including 95 patients with pancreatic ductal adenocarcinoma (PDAC) and PDAC patients from The Cancer Genome Atlas (TCGA), the International Cancer Genome Consortium (ICGC), and The Gene Expression Omnibus (GEO) database were involved in our study. Multivariate Cox regression analysis was used to construct the prognosis model. The potential connection between metabolism and immunity of PDAC was investigated through a weighted gene co-expression network analysis (WGCNA). 22 types of Tumor-infiltrating immune cells (TIICs) between high-risk and low-risk groups were estimated through CIBERSORT. Moreover, the potential immune-related signaling pathways between high-risk and low-risk groups were explored through the gene set enrichment analysis (GSEA). The role of key gene GMPS in developing pancreatic tumor was further investigated through CCK-8, colony-information, and Transwell. RESULTS: The prognostic value of the MetS factors was analyzed using the Cox regression model, and a clinical MetS-based nomogram was established. Then, we established a metabolism-related signature to predict the prognosis of PDAC patients based on the TCGA databases and was validated in the ICGC database and the GEO database to find the distinct molecular mechanism of MetS genes in PDAC. The result of WGCNA showed that the blue module was associated with risk score, and genes in the blue module were found to be enriched in the immune-related signaling pathway. Furthermore, the result of CIBERSORT demonstrated that proportions of T cells CD8, T cells Regulatory, Tregs NK cells Activated, Dendritic cells Activated, and Mast cells Resting were different between high-risk and low-risk groups. These differences are potential causes of different prognoses of PDAC patients. GSEA and the protein-protein interaction network (PPI) further revealed that our metabolism-related signature was significantly enriched in immune-related biological processes. Moreover, knockdown of GMPS in PDAC cells suppressed proliferation, migration, and invasion of tumor cells, whereas overexpression of GMPS performed oppositely. CONCLUSION: The results shine light on fundamental mechanisms of metabolic genes on PDAC and establish a reliable and referable signature to evaluate the prognosis of PDAC. GMPS was identified as a potential candidate oncogene with in PDAC, which can be a novel biomarker and therapeutic target for PDAC treatment.

AZGP1 activation by lenvatinib suppresses intrahepatic cholangiocarcinoma epithelial-mesenchymal transition through the TGF-ß1/Smad3 pathway.

Intrahepatic cholangiocarcinoma (ICC) is a primary liver malignancy and is characterized by highly aggressive and malignant biological behavior. Currently, effective treatment strategies are limited. The effect of lenvatinib on ICC is unknown. In this study, we found that AZGP1 was the key target of lenvatinib in ICC, and its low expression in ICC cancer tissues was associated with a poor prognosis in patients. Lenvatinib is a novel AZGP1 agonist candidate for ICC that inhibits ICC-EMT by regulating the TGF-ß1/Smad3 signaling pathway in an AZGP1-dependent manner. Furthermore, we found that lenvatinib could increase AZGP1 expression by increasing the acetylation level of H3K27Ac in the promoter region of the AZGP1 gene, thereby inhibiting EMT in ICC cells. In conclusion, lenvatinib activates AZGP1 by increasing the acetylation level of H3K27Ac on the AZGP1 promoter region and regulates the TGF-ß1/Smad3 signaling pathway in an AZGP1-dependent manner to inhibit ICC-EMT. This study offers new insight into the mechanism of lenvatinib in the treatment of ICC and provides a theoretical basis for new treatment methods.

Development and validation of a nomogram for predicting the cancer-specific survival of fibrolamellar hepatocellular carcinoma patients.

Fibrolamellar hepatocellular carcinoma (FLC) is a rare subtype of hepatocellular carcinoma. Our study aimed to construct a nomogram to predict the cancer-specific survival (CSS) of FLC. Data of 200 FLC patients enrolled in the Surveillance, Epidemiology, and End Results (SEER) database were divided into the training group and the validation group. Prognostic factors identified in the univariate and multivariate Cox regression analyses were used to construct the nomogram. The concordance index (C-index), calibration curves, time-dependent receiver operating characteristic curve (ROC), and decision curve analysis (DCA) were used to evaluate the performance of the nomogram. As a result, age ≥ 59, N1 stage, M1 stage, tumor size ≤ 2.0 cm, and no surgery were significantly associated with lower CSS in multivariate Cox regression analysis. The calibration plot showed good consistency of the nomogram between predicted and observed outcomes in the training and validation groups. Compared with the TNM staging system, the prognostic evaluation model (PEM) showed a higher C-index (0.823 vs 0.656). The PEM also showed better predictive performance, with areas under the curve of 0.909 and 0.890 for predicting the 1- and 5-year survival. The AUCs of the TNM stage model for predicting 1- and 5-year survival were 0.629 and 0.787, respectively. In addition, the DCA curve showed that the nomogram had better clinical utility. Finally, we concluded that Age, N stage, M stage, tumor size, and surgery are independent prognostic factors for FLC. PEM established based on these five prognostic indicators can help predict the CSS of patients with FLC.

Brusatol suppresses the growth of intrahepatic cholangiocarcinoma by PI3K/Akt pathway.

BACKGROUND: Intrahepatic cholangiocarcinoma (ICC) is a malignancy with a hidden onset, high metastasis recurrence rate, and poor prognosis. Research on effective drugs for ICC is important for improving the prognosis of patients in the clinic. Brusatol is a quassinoid extracted from the seeds of Brucea sumatrana and has been shown to have the potential to inhibit tumor metastasis and proliferation. There has been no scientific research on the therapeutic effect of brusatol on ICC. Our study offers a novel strategy for the therapy of ICC. PURPOSE: Explore effects of brusatol treatment on ICC and clarify the possible mechanism. STUDY DESIGN: Various cell functional experiments and basic experimental techniques were applied to ICC cell lines to explore the influences of brusatol on ICC cells; this conclusion was further verified in animal models. METHODS: The anti-cancer effects of the drug on the cell, protein, and RNA level were verified by cell functional experiments, WB blotting and transcriptome sequencing experiments, respectively. Finally, the experimental results were verified using subcutaneous tumor experiments in nude mice. RESULTS: The consequences exhibited that the levels of epithelial markers of ICC cells increased after brusatol treatment, and the levels of interstitial indicators decreased, suppressing the epithelial-mesenchymal transition (EMT) process. Brusatol inhibited proliferation, induced apoptosis, and suppressed the migration and invasion abilities of Hucc-T1 and RBE oncocytes via activating PI3K/Akt pathway. It also suppressed the growth of Hucc-T1 xenografts in nude mice. CONCLUSION: Brusatol inhibits the proliferation and EMT process in ICC oncocytes by the PI3K/Akt pathway and promotes apoptosis in oncocytes.

LncRNA HEPFAL accelerates ferroptosis in hepatocellular carcinoma by regulating SLC7A11 ubiquitination.

Ferroptosis is a new type of cell death that has been recognized in recent years and is different from apoptosis, autophagy, and necrosis. It is mainly due to cellular iron homeostasis and lipid peroxidation of iron metabolism caused by large accumulation. There is a close correlation between ferroptosis and hepatocellular carcinoma (HCC). This study shows that the expression of the long noncoding RNA HEPFAL was reduced in HCC tissues. We found that lncRNA HEPFAL can promote ferroptosis by reducing the expression of solute carrier family 7 member 11 (SLC7A11) and increasing the levels of lipid reactive oxygen species (ROS) and iron (two surrogate markers of ferroptosis). In addition, we found that lncRNA HEPFAL increases the sensitivity of erastin-induced ferroptosis, which may be related to mTORC1, and lncRNA HEPFAL can promote the ubiquitination of SLC7A11 and reduce the stability of the SLC7A11 protein, resulting in decreased expression. Understanding these mechanisms indicates that lncRNAs related to ferroptosis are essential for the occurrence and treatment of HCC.

The prognostic value of sarcopenia combined with hepatolithiasis in intrahepatic cholangiocarcinoma patients after surgery: A prospective cohort study.

INTRODUCTION: Intrahepatic Cholangiocarcinoma (ICC) is the second most common primary liver cancer with dismal survival rates. This study aimed to explore the prognostic value of sarcopenia combine with hepatolithiasis in surgically treated ICC patients and develop a prognostic nomogram to help make clinical decisions. MATERIALS AND METHODS: A prospective cohort study was conducted including patients who underwent hepatectomy for ICC between August 2012 and October 2019. The association between the sarcopenia combined with hepatolithiasis and survival, including overall survival (OS) and recurrence-free survival (RFS) was investigated using the Kaplan-Meier (K-M) method. Univariable and multivariable Cox regression analysis was performed to determine the independent prognostic factors and a nomogram establishment was undertaken based on the multivariable analysis. RESULTS: A total of 121 ICC patients were included in the study. K-M analysis revealed that ICC patients with sarcopenia and hepatolithiasis have worse OS and RFS than those without sarcopenias and/or hepatolithiasis (p < 0.01). Multivariable analysis showed that age, serum CEA, hepatolithiasis, sarcopenia and diabetes were independent prognostic factors for OS(p < 0.05). Finally, a nomogram with good performance in survival prediction was established (C-index was 0.721; the area under the curve of OS was 0.837). The stratified analysis based on the nomogram disclosed that the median OS was 11.9 months in high-risk patients and 51.2 months in low-risk patients (p < 0.001). CONCLUSIONS: ICC patients with sarcopenia and hepatolithiasis have worse OS and RFS. The nomogram we developed is a practical tool that can provide a more individualized risk assessment for surgically treated ICC patients.

The prognostic value of sarcopenia combined with preoperative fibrinogen-albumin ratio in patients with intrahepatic cholangiocarcinoma after surgery: A multicenter, prospective study.

BACKGROUND: To explore the prognostic value of the fibrinogen-albumin ratio (FAR) combined with sarcopenia in intrahepatic cholangiocarcinoma (ICC) patients after surgery and to develop a nomogram for predicting the survival of ICC patients. MATERIALS AND METHODS: In this prospective cohort study, 116 ICC patients who underwent radical surgery were enrolled as the discovery cohort and another independent cohort of 68 ICC patients was used as the validation cohort. Kaplan-Meier method was used to analyze prognosis. The independent predictor of overall survival (OS) and recurrence-free survival (RFS) was evaluated by univariable and multivariable Cox regression analyses, then developing nomograms. The performance of nomograms was evaluated by concordance index (C-index), calibration curve, receiver operating characteristic curve analysis (ROC), and decision curve analysis (DCA). RESULTS: Patients with high FAR had lower OS and RFS. FAR and sarcopenia were effective predictors of OS and RFS. Patients with high FAR and sarcopenia had a poorer prognosis than other patients. OS nomogram was constructed based on age, FAR, and sarcopenia. RFS nomogram was constructed based on FAR and sarcopenia. C-index for the nomograms of OS and RFS was 0.713 and 0.686. Calibration curves revealed great consistency between actual survival and nomogram prediction. The area under ROC curve (AUC) for the nomograms of OS and RFS was 0.796 and 0.791 in the discovery cohort, 0.823 and 0.726 in the validation cohort. The clinical value of nomograms was confirmed by the DCA. CONCLUSIONS: ICC patients with high FAR and sarcopenia had a poor prognosis, the nomograms developed based on these two factors were accurate and clinically useful in ICC patients who underwent radical resection.

A Novel Clinical-Radiomics Model Based on Sarcopenia and Radiomics for Predicting the Prognosis of Intrahepatic Cholangiocarcinoma After Radical Hepatectomy.

BACKGROUND: Intrahepatic cholangiocarcinoma (ICC) is a highly aggressive malignant tumor with a poor prognosis. This study aimed to establish a novel clinical-radiomics model for predicting the prognosis of ICC after radical hepatectomy. METHODS: A clinical-radiomics model was established for 82 cases of ICC treated with radical hepatectomy in our hospital from May 2011 to December 2020. Radiomics features were extracted from venous-phase and arterial-phase images of computed tomography. Kaplan-Meier survival analysis was generated to compare overall survival (OS) between different groups. The independent factors were identified by univariate and multivariate Cox regression analyses. Nomogram performance was evaluated regarding discrimination, calibration, and clinical utility. C-index and area under the curve (AUC) were utilized to compare the predictive performance between the clinical-radiomics model and conventional staging systems. RESULTS: The radiomics model included five features. The AUC of the radiomics model was 0.817 in the training cohort, and 0.684 in the validation cohort. The clinical-radiomics model included psoas muscle index, radiomics score, hepatolithiasis, carcinoembryonic antigen, and neutrophil/lymphocyte ratio. The reliable C-index of the model was 0.768, which was higher than that of other models. The AUC of the model for predicting OS at 1, and 3 years was 0.809 and 0.886, which was significantly higher than that of the American Joint Committee on Cancer 8th staging system (0.594 and 0.619), radiomics model (0.743 and 0.770), and tumor differentiation (0.645 and 0.628). After stratification according to the constructed model, the median OS was 59.8 months for low-risk ICC patients and 10.1 months for high-risk patients (p < 0.0001). CONCLUSION: The clinical-radiomics model integrating sarcopenia, clinical features, and radiomics score was accurate for prognostic prediction for mass-forming ICC patients. It provided an individualized prognostic evaluation in patients with mass-forming ICC and could helped surgeons with clinical decision-making.

Diffuse reduction of spleen density is a novel prognostic marker for intrahepatic cholangiocarcinoma after curative resection.

BACKGROUND: Diffuse reduction of spleen density (DROSD) is related to cancer prognosis; however, its role in intrahepatic cholangiocarcinoma (ICC) remains unclear. AIM: To assess the predictive value of DROSD in the prognosis of ICC after curative resection. METHODS: In this multicenter retrospective cohort study, we enrolled patients with ICC who underwent curative hepatectomy between 2012 and 2019. Preoperative spleen density was measured using computed tomography. Overall survival (OS) and recurrence-free survival (RFS) rates were calculated and compared utilizing the Kaplan-Meier method. Univariable and multivariable Cox regression analyses were applied to identify independent factors for OS and RFS. A nomogram was created with independent risk factors to predict prognosis of patients with ICC. RESULTS: One hundred and sixty-seven ICC patients were enrolled. Based on the diagnostic cut-off values (spleen density ≤ 45.5 Hounsfield units), 55 (32.9%) patients had DROSD. Kaplan-Meier analysis indicated that patients with DROSD had worse OS and RFS than those without DROSD (P < 0.05). Cox regression analysis revealed that DROSD, carcinoembryonic antigen level, carbohydrate antigen 19-9 level, length of hospital stay, lymph node metastasis, and postoperative complications were independent predictors for OS (P < 0.05). The nomogram created with these factors was able to predict the prognosis of patients with ICC with good reliability (OS C-index = 0.733). The area under the curve for OS was 0.79. CONCLUSION: ICC patients with DROSD have worse OS and RFS. The nomogram is a simple and practical method to identify high-risk ICC patients with poor prognosis.

Immune Infiltration Landscape in Lung Squamous Cell Carcinoma Implications.

Intrinsic cancer cells and the tumor-infiltrating immune cells (TIICs) recruited to the immune microenvironment define the malignant phenotype of lung squamous cell carcinoma (LUSC). Understanding more about the immune microenvironment of LUSC enables the selection of high-risk patients who would derive benefit from immunotherapy. Based on large public LUSC cohorts obtained from TCGA and GEO datasets, 22 types of infiltrating immune cell subgroups were evaluated by CIBERSORT. Meta-analysis, principal component analysis (PCA), single-sample gene set enrichment analysis (ssGSEA), and hierarchical clustering analysis were used to evaluate specific immune responses of LUSC. The distribution of TIICs of LUSC was entirely different from normal. TIIC subpopulations were also found to be closely associated with clinical features and molecular subtypes. Unsupervised clustering analysis revealed that three distinct TIIC subgroups existed with different survival patterns. TIICs are extensively implicated in the pathogenesis and development of LUSC. Characterizing the composition of TIICs influences the metabolism, pathological stage, and survival of tumor patients. It is hoped that this immune landscape could provide a more accurate understanding of the development and immunotherapy of LUSC.