Cancer Cell Research (Online ISSN: 2161-2609)

Current Issue

Vol.9  No.35

Article: The reverse molecular dysregulations caused by BRAF and NRAS mutations in papillary thyroid cancer
by WeiLong Zeng, Hui Zhou, QingShan Liu
Cancer Cell Research 2022 9(35) 856-861; published online  30 December 2022
Abstract: Objective: Preoperative noninvasive prediction of histological grade of hepatocellular carcinoma remains a challenge. Tumor perfusion is closely related to the occurrence and invasion of hepatocellular carcinoma. Here, the aim of this study was to evaluate the role of quantitative perfusion parameters, corresponding histogram parameters, and tumor density (represented by CT values) in predicting the histological grade of hepatocellular carcinoma by traditional three-phase dynamic contrast-enhanced CT scanning. Methods: A total of 80 cases of pathologically confirmed hepatocellular carcinoma were included in this retrospective study. According to the presence or absence of poorly differentiated hepatocellular carcinoma, patients were divided into two groups: 55 cases with poorly differentiated hepatocellular carcinoma; Twenty-five cases were not poorly differentiated, including well-differentiated hepatocellular carcinoma and moderately differentiated hepatocellular carcinoma. The CT values of tumors at different scanning phases were measured, and the hepatic artery blood supply coefficient (HAC), portal vein blood supply coefficient (PVC) and arterial enhancement fraction (AEF) of tumor tissues and surrounding normal tissues were calculated by CT images. Then the heterogeneity of tumors was analyzed by histogram parameters. The relationship between CT perfusion parameters and histogram parameters and different histological grades of tumors was analyzed and receiver operating characteristic curve analysis was used to determine the best parameters for predicting tumor histological grade. Results: The difference of AEF histogram parameters in the moderate-high HCC group was higher than that in the poorly differentiated HCC group (P < 0.05). The difference between total tumor blood flow and total liver blood flow and the relative blood flow (rHF = AHF/HFllver) in the medium-high hepatocellular carcinoma group were significantly higher than those in the poorly differentiated hepatocellular carcinoma group (P < 0.05). There was no significant difference in other hepatic perfusion parameters and related histogram parameters between the two groups. The CT values of the poorly differentiated hepatocellular carcinoma group S were significantly lower than those of the moderate-high hepatocellular carcinoma group S in the plain scan phase (TAu), portal vein phase (TAp) and equilibrium phase (TAe) (P < 0.05). Conclusion: The tumor perfusion parameters, corresponding histogram parameters, tumor CT values at different scanning phases and the difference of tumor CT values at different phases of HCC based on three-phase enhanced CT scan are helpful to predict the differentiation degree of HCC noninvastively before surgery.

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Article: Analysis of the expression and prognostic value of the KDM5C gene in hepatocellular carcinoma based on transcriptome sequencing
by Zheng Wang
Cancer Cell Research 2022 9(35) 862-869; published online  30  December 2022
Abstract: Hepatocellular carcinoma (HCC) is the sixth most common cancer in the world. Hepatocellular carcinoma (HCC) has high tumor heterogeneity. Although systemic treatments such as surgery and chemotherapy have made significant progress, the overall prognosis is poor. The study of liver cancer targeting genes has become a hot spot in the field of liver cancer research. In this paper, the transcriptome data of liver cancer patients enrolled in this research center were obtained, and verified by bioinformatics analysis and TCGA database, the KDM5C gene affecting the prognosis of liver cancer was screened and the clinical prognosis model was constructed.

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