Clinicopathologic significance and function of S-phase kinase-associated protein 2 overexpression in hepatocellular carcinoma

Development of a prognostic model for anoikis and identifies hub genes in hepatocellular carcinoma

Considering the high fatality of hepatocellular carcinoma (HCC), current prognostic systems are insufficient to accurately forecast HCC patients' outcomes. In our study, nine anoikis‑related genes (PTRH2, ITGAV, ANXA5, BIRC5, BDNF, BSG, DAP3, SKP2, and EGF) were determined to establish a risk scoring model using LASSO regression, which could be validated in ICGC dataset. Kaplan-Meier curves and time-dependent receiver operating characteristic (ROC) curve analysis confirmed the risk score possessed an accurate predictive value for the prognosis of HCC patients. The high-risk group showed a higher infiltration of aDCs, macrophages, T-follicular helper cells, and Th2 cells. Besides, PD-L1 was significantly higher in the high-risk group compared to the low-risk group. Several anoikis‑related genes, such as ANX5, ITGAV, BDNF and SKP2, were associated with drug sensitivity in HCC. Finally, we identified BIRC5 and SKP2 as hub genes among the nine model genes using WGCNA analysis. BIRC5 and SKP2 were over-expressed in HCC tissues, and their over-expression was associated with poor prognosis, no matter in our cohort by immunohistochemical staining or in the TCGA cohort by mRNA-Seq. In our cohort, BIRC5 expression was highly associated with the T stage, pathologic stage, histologic grade and AFP of HCC patients. In general, our anoikis-related risk model can enhance the ability to predict the survival outcomes of HCC patients and provide a feasible therapeutic strategy for immunotherapy and drug resistance in HCC. BIRC5 and SKP2 are hub genes of anoikis‑related genes in HCC.

Expression and prognostic significance of centromere protein A in human lung adenocarcinoma

BACKGROUND

Centromere protein A (CENP-A), one of the fundamental components of the human active kinetochore, is frequently upregulated in many cancers and plays important roles in cell cycle regulation, cell survival, and genetic stability. The aim of the present study was to explore the expression and prognostic significance of CENP-A in lung adenocarcinoma.

EXPERIMENTAL DESIGN

The expression of CENP-A was detected in 20 fresh human lung adenocarcinoma specimens and corresponding non-tumorous lung tissues by real-time polymerase chain reaction (RT-PCR) and Western blotting analysis. Using immunohistochemistry, we analyzed CENP-A protein expression in additional 309 lung adenocarcinomas. The clinicopathological and prognostic significance of CENP-A expression was analyzed.

RESULTS

RT-PCR and Western blotting analysis revealed an enhanced expression of CENP-A in lung adenocarcinomas relative to adjacent non-tumorous lung tissues at both transcriptional and translational levels. Immunohistochemistry showed that 146 of 309 lung adenocarcinomas (47.3%) had high expression of CENP-A. CENP-A overexpression was significantly correlated with pathological grade (P=0.009), pT status (P=0.017), pN status (P=0.002), pleural invasion (P=0.013), high Ki-67 expression (P=0.003), and P53 positivity (P=0.001). Patients with high CENP-A expression had shorter overall survival time compared with those with low CENP-A expression. Multivariate analysis identified CENP-A as an independent prognostic factor for lung adenocarcinoma.

CONCLUSION

Our results demonstrate that elevated CENP-A expression is closely associated with lung adenocarcinoma progression and has an independent prognostic value in predicting overall survival for patients with lung adenocarcinoma.