Efficacy and Safety of Apatinib Treatment for Patients with Advanced Intrahepatic Cholangiocarcinoma.

PURPOSE: Effective treatment options for intrahepatic cholangiocarcinoma (ICC) are limited. This study was intended to explore the efficacy and safety of apatinib in advanced ICC with lymph node metastasis or distant metastasis. PATIENTS AND METHODS: The efficacy and toxicity of apatinib were evaluated in patients with ICC between November 2017 and March 2020 at the Second Affiliated Hospital of Anhui Medical University. Survival analysis was estimated using Kaplan-Meier method. RESULTS: Ten patients with advanced ICC were enrolled. The median progression-free survival (PFS) was 3.0 months (95% CI: 1.450-4.550). No patient achieved a complete response (CR). One patient gained partial response (PR), and 6 patients had stable disease (SD). The objective response rate (ORR) was 10%, and the disease control rate (DCR) was 70%. The common treatment-related adverse events were hypertension (20%), proteinuria (30%), hand and foot syndrome (10%) or emesis (10%). No grade 3/4 toxicities occurred. Toxicities were mild and tolerable. CONCLUSION: Apatinib is potentially an effective treatment option with tolerable toxicities for patients with advanced ICC.

CpG Methylation Signature Predicts Recurrence in Early-Stage Hepatocellular Carcinoma: Results From a Multicenter Study.

Purpose Early-stage hepatocellular carcinoma (E-HCC) is being diagnosed increasingly, and in one half of diagnosed patients, recurrence will develop. Thus, it is urgent to identify recurrence-related markers. We investigated the effectiveness of CpG methylation in predicting recurrence for patients with E-HCCs. Patients and Methods In total, 576 patients with E-HCC from four independent centers were sorted by three phases. In the discovery phase, 66 tumor samples were analyzed using the Illumina Methylation 450k Beadchip. Two algorithms, Least Absolute Shrinkage and Selector Operation and Support Vector Machine-Recursive Feature Elimination, were used to select significant CpGs. In the training phase, penalized Cox regression was used to further narrow CpGs into 140 samples. In the validation phase, candidate CpGs were validated using an internal cohort (n = 141) and two external cohorts (n = 191 and n =104). Results After combining the 46 CpGs selected by the Least Absolute Shrinkage and Selector Operation and the Support Vector Machine-Recursive Feature Elimination algorithms, three CpGs corresponding to SCAN domain containing 3, Src homology 3-domain growth factor receptor-bound 2-like interacting protein 1, and peptidase inhibitor 3 were highlighted as candidate predictors in the training phase. On the basis of the three CpGs, a methylation signature for E-HCC (MSEH) was developed to classify patients into high- and low-risk recurrence groups in the training cohort ( P < .001). The performance of MSEH was validated in the internal cohort ( P < .001) and in the two external cohorts ( P < .001; P = .002). Furthermore, a nomogram comprising MSEH, tumor differentiation, cirrhosis, hepatitis B virus surface antigen, and antivirus therapy was generated to predict the 5-year recurrence-free survival in the training cohort, and it performed well in the three validation cohorts (concordance index: 0.725, 0.697, and 0.693, respectively). Conclusion MSEH, a three-CpG-based signature, is useful in predicting recurrence for patients with E-HCC.

NADPH oxidase DUOX1 and DUOX2 but not NOX4 are independent predictors in hepatocellular carcinoma after hepatectomy.

NADPH oxidase DUOX1, DUOX2, and NOX4 have recently been gained considerable concerns, owing to the fact that they involve in reactive oxygen species-induced genetic and epigenetic alternations of human carcinogenesis and serve as biomarkers in several cancers. Whether they predict survival in hepatocellular carcinoma (HCC) is still uncertain. Here, we detected the expressions of DUOX1, DUOX2, and NOX4 in one normal liver cell line, seven HCC cell lines, 30 non-cirrhotic normal liver tissues, and 107 paired HCC tissues using reverse transcription-polymerase chain reaction. The correlations of genes expression with prognoses were analyzed. DUOX1 was expressed at high levels in MHCC-97H and MHCC-97L, but at low levels in Bel-7402. In contrast to low expression level at SMMC-7721, DUOX2 was expressed at considerably high levels in MHCC-97H and MHCC-97L. The transcript of NOX4 was only detected in SMMC-7721. All the 30 normal liver tissues failed to express the three candidate markers. Compared with adjacent non-neoplastic tissues, DUOX1, DUOX2, and NOX4 were expressed at higher frequencies in tumor specimens. Both univariate and multivariate analyses revealed that elevated expression of DUOX1 or DUOX2 predicted poorer recurrence-free survival and overall survival. No such significance trend regarding NOX4 predictive value in survival, however, was seen in univariate analysis. These results suggested DUOX1 and DUOX2, but not NOX4, could predict HCC prognoses after hepatectomy.

Identification of MACC1 as a novel prognostic marker in hepatocellular carcinoma.

BACKGROUND: Metastasis-associated in colon cancer-1 (MACC1) is a newly identified gene that plays a role in colon cancer metastasis through upregulation of c-MET proto-oncogene (c-MET). However, the value of MACC1 as a potential biomarker for hepatocellular carcinoma (HCC) remains unknown. METHODS: MACC1 mRNA expression in 128 HCC tissues was examined by quantitative polymerase chain reaction. To show the potential correlation of MACC1 and c-MET, c-MET was also analysed. RESULTS: MACC1 was more highly expressed in HCC than in non-HCC tissues (P = 0.009). High MACC1 expression was significantly increased in cases with high alpha fetoprotein (AFP) (P = 0.025). A positive correlation was found between MACC1 and c-MET mRNAs (r = 0.235, P = 0.009). Both univariate and multivariate analyses revealed that MACC1 expression was associated with overall survival (OS) and disease-free survival (DFS). Moreover, stratified analysis showed that tumour-node-metastasis (TNM) stage I patients with high MACC1 levels had shorter OS and DFS than those with low MACC1. CONCLUSIONS: MACC1 may identify low- and high-risk individuals with HCC and be a valuable indicator for stratifying the prognosis of TNM stage I patients. MACC1 may serve as a novel biomarker for HCC.

Role of Sox2 and Oct4 in predicting survival of hepatocellular carcinoma patients after hepatectomy.

OBJECTIVES: The present study was aimed to explore the prognostic strength of Sox2 and Oct4A in hepatocellular carcinoma (HCC). DESIGN AND METHODS: We investigated the expression of Sox2 and Oct4A in five hepatoma cell lines, one immortalized normal liver cell line, HCC tissues with matched nontumorous liver tissues and normal liver tissues by reverse transcription-polymerase chain reaction. RESULTS: Sox2 and Oct4A mRNA were overexpressed in hepatoma cell lines and tumor tissues. Sox2 or Oct4A positive expression was significantly associated with an aggressive phenotype. Both univariate and multivariate analyses revealed that Sox2 or Oct4A was an independent prognostic factor for HCC. When using subgroup analysis, the patients with a co-expression of Sox2/Oct4A had the poorest prognosis. Further analysis demonstrated that Sox2 alone or Sox2/Oct4A could stratify outcome in HCC patients with early stage. CONCLUSIONS: Sox2 and Oct4A can be novel predictors of poor prognosis for patients undergoing resection of HCC.

[OCT4 expression in hepatocellular carcinoma and its clinical significance].

BACKGROUND AND OBJECTIVE: Recently, many studies have focused on stem cells in hepatocellular carcinoma (HCC) and found some stem cell markers in HCC, which are associated with the prognosis. OCT4, as a member of the POU transcription factor family, is a key factor to maintain self-renewal and pluripotency of embryonic stem cells (ESCs). This study was to explore the expression of the ESCs marker OCT4A in HCC, and its correlations with clinicopathologic features and prognosis of HCC. METHODS: OCT4A mRNA expression was detected in five liver cancer cell lines (SMMC-7721, BEL-7402, Hep-G2, MHCC97-L, and MHCC97-H), one immortalized liver cell line L-O2, tumor tissues with matched non-neoplastic liver tissues in 107 HCC patients, and normal liver tissues of 20 cases using semi-quantitative reverse transcription-polymerase chain reaction (RT-PCR). The correlations between OCT4A mRNA and clinicopathologic features and prognosis of HCC were analyzed. RESULTS: OCT4A mRNA was detected in SMMC-7721, BEL-7402, Hep-G2, MHCC-97L, and MHCC-97H cells, but not in L-O2 cells. The positive rate of OCT4A mRNA expression was significantly higher in the HCC tissues than in the non-neoplastic liver tissues (72.0% vs. 30.8%, P<0.001). No OCT4A mRNA expression was found in the normal liver tissues. OCT4A mRNA expression was correlated with the tumor size, vascular invasion, and TNM stage (P<0.05). Kaplan-Meier survival curves showed that patients with positive expression of OCT4A mRNA had lower overall survival and disease-free survival rates. CONCLUSIONS: OCT4A mRNA, which is highly expressed in a subset of liver cancer cell lines and HCC tissues, may be involved in the carcinogenesis of HCC. OCT4A mRNA may be a valuable biomarker for assessing the prognosis of HCC.