At present, there are few data on the relationship between 5hmC and hepatoblastoma prognosis. In this study, we explored the relationship between the level of expression of 5hmC by immunohistochemistry and the clinical features and prognosis of 100 cases of hepatoblastoma. We investigated recognized clinical prognostic factors (diagnostic age, gender, AFP level, etc.) and factors used for risk classification (PRETEXT stage, metastasis, vascular invasion, tumor rupture, etc.) [12]. Other variables have low prognostic value and were therefore ignored. This study is limited to patients in a single center, which may introduce bias. We found that the level of expression of tumor 5hmC was not correlated with gender, age, AFP level at diagnosis, PRETEXT stage, metastasis, histological subtype or COG risk group. However, in univariate and multivariate analysis, the expression of 5hmC was identified as an independent prognostic factor. This suggests that the expression of 5hmC may be a powerful prognostic factor in hepatoblastoma.
Thus far, a large number of studies has reported a relationship between 5hmC and several different tumors (malignant melanoma, cervical squamous cell carcinoma, non-small cell lung cancer, etc.) [13–16]. Usually, 5hmC is mainly present in embryonic stem cells and adult neural cells. In hepatocellular carcinoma, the expression of 5hmC was reported to be lower than in the surrounding normal tissues [17, 18]. It was also reported that in adult cancer, lower TET expression can reduce the level of 5hmC in solid and hematopoietic tumors [9, 13, 19, 20]. However, the activity of these enzymes in pediatric tumors has rarely been established. Studies have shown that that 5hmC profiles are prognostic for the outcome of neuroblastoma [21, 22]. Rivas et al. reported increased expression of the TET gene in hepatoblastoma [23]. Animal models indicated that overexpression of TET inhibited differentiation during embryonic development [9, 20, 24, 25]. It is speculated that the up regulation of TET in hepatoblastoma indicates that liver differentiation is blocked, which is consistent with the long-suggested hypothesis that inhibiting the differentiation pathway of organ stem cells leads to embryonic tumorigenesis. The increase of 5hmC content in these tumors confirms the functional role of the observed TET overexpression. Although the previous study of Rivas et al. assessed the expression of 5hmC in archived hepatoblastoma tissues, the number of cases was limited and lacked further validation [23]. Our study is the largest analysis of 5hmC protein expression in hepatoblastoma.
The main limitation of this work at present is its retrospective nature. However, it is worth noting that this is a sample of children with hepatoblastoma in China. Hepatoma is a rare tumor with a low incidence rate, and to the best of our knowledge the present study is the first to report the significance of 5hmC expression for hepatoma prognosis. Our results show that high expression of 5hmC predicts relatively less invasive tumor behavior. Importantly, 5hmC expression enables us to more accurately predict the true prognosis of patients with hepatoblastoma. It is worth noting that 5hmC can be measured using a simple technique (immunohistochemistry), so it can be carried out in any reasonably equipped clinical pathology laboratory; also, the antibody is a commercially-available monoclonal, so it should produce robust and reproducible results. Additionally, the scoring system is simple and the consistency between observers is good. Histopathologists can easily use the same sections for diagnostic evaluation. All these features increase the opportunity to translate this biomarker into clinical application. A scoring system based on image analysis is possible and can make scoring easier, but it is not easy for histopathologists because they review cases under a microscope and increase the complexity of biomarker translation.
Future work will need to accurately determine how 5hmC should be used. In particular, it will be important to assess whether combination with other biomarkers and with clinicopathological features can increase accuracy of prediction. However, this requires a much larger study. Ideally, thousands of cases will eventually form a statistical prediction model, at which time the prognostic scoring system of new cases will need to be externally verified. The present study provides strong support for exploring this approach. In addition, the epigenetics of 5hmC may help to classify hepatoblastoma risk and guide clinical targeted treatment strategies in the future.