Stemness-Related Transcriptional Factors and Homing Gene Expression Profiles in Hepatic Differentiation and Cancer

Abstract Stem cell transcriptional signature activation is an essential event in the development of cancer. This study aimed to investigate the differential expression profiles of three pluripotency-associated genes, OCT4, NANOG and SOX2, G-protein-coupled chemokine receptor 4 (CXCR4) and the ligand CXCL2, and alpha-fetoprotein (AFP) in hepatogenic differentiated stem cells and in sera of hepatitis C virus (HCV) and HCV-induced hepatocellular carcinoma (HCC) patients. Mesenchymal stem cells derived from umbilical cord blood were differentiated using hepatogenic differentiation media. Serum specimens were collected from 96 patients (32 cirrhotic HCV, 32 early HCC and 32 late HCC) and 96 controls. Real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) was performed for relative quantification of the six target genes using the Livak method. In silico network analysis was also executed to explore the pluripotency and tumorigenetic regulatory circuits in liver cancer. The expression levels of all genes declined gradually during the stages of stem cell differentiation. On univariate and multivariate analyses, NANOG, CXCR4 and AFP were significantly upregulated in late clinical stage HCC patients. In contrast, SOX2 and CXCL2 were markedly overexpressed in cirrhotic patients and could be used for clear demarcation between cirrhotic and HCC patients in our cases. In conclusion, our data highlight the potential role of the SOX2 stem cell marker and CXCL2 chemokine in liver cell degeneration and fibrogenesis in HCV-induced hepatic cirrhosis in our sample of the Egyptian population. In addition, the significant association of NANOG and CXCR4 high expression with late HCC could contribute to the acquisition of stem cell-like properties in hepatic cancer and dissemination in late stages, respectively. Taken together, our results could have potential application in HCC prognosis and treatment

Rapid Detection of Recurrent Non-Muscle Invasive Bladder Cancer in Urine Using ATR-FTIR Technology

Non-muscle Invasive Bladder Cancer (NMIBC) accounts for 80% of all bladder cancers. Although it is mostly low-grade tumors, its high recurrence rate necessitates three-times-monthly follow-ups and cystoscopy examinations to detect and prevent its progression. A rapid liquid biopsy-based assay is needed to improve detection and reduce complications from invasive cystoscopy. Here, we present a rapid spectroscopic method to detect the recurrence of NMIBC in urine. Urine samples from previously-diagnosed NMIBC patients (n = 62) were collected during their follow-up visits before cystoscopy examination. Cystoscopy results were recorded (41 cancer-free and 21 recurrence) and attenuated total refraction Fourier transform infrared (ATR-FTIR) spectra were acquired from urine samples using direct application. Spectral processing and normalization were optimized using parameter grid searching. We assessed their technical variability through multivariate analysis and principal component analysis (PCA). We assessed 35 machine learning models on a training set (70%), and the performance was evaluated on a held-out test set (30%). A Regularized Random Forests (RRF) model achieved a 0.92 area under the receiver operating characteristic (AUROC) with 86% sensitivity and 77% specificity. In conclusion, our spectroscopic liquid biopsy approach provides a promising technique for the early identification of NMIBC with a less invasive examination