Background and aimsThe unique expression pattern makes oncofetal proteins ideal diagnostic biomarkers and therapeutic targets in cancer. However, few oncofetal proteins have been identified and entered clinical practice.MethodsFetal liver, adult liver and hepatocellular carcinoma (HCC) tissues were employed to assess the expression of hepatic leukaemia factor (HLF). The impact of HLF on HCC onset and progression was investigated both in vivo and in vitro. The association between HLF and patient prognosis was determined in patient cohorts. The correlation between HLF expression and sorafenib benefits in HCC was further evaluated in patient cohorts and patient-derived xenografts (PDXs).ResultsHLF is a novel oncofetal protein which is reactivated in HCC by SOX2 and OCT4. Functional studies revealed that HLF transactivates c-Jun to promote tumour initiating cell (TIC) generation and enhances TIC-like properties of hepatoma cells, thus driving HCC initiation and progression. Consistently, our clinical investigations elucidated the association between HLF and patient prognosis and unravelled the close correlation between HLF levels and c-Jun expression in patient HCCs. Importantly, HLF/c-Jun axis determines the responses of hepatoma cells to sorafenib treatment, and interference of HLF abrogated c-Jun activation and enhanced sorafenib response. Analysis of patient cohorts and PDXs further suggests that HLF/c-Jun axis might serve as a biomarker for sorafenib benefits in HCC patients.ConclusionsOur findings uncovered HLF as a novel oncofetal protein and revealed the crucial role of the HLF/c-Jun axis in HCC development and sorafenib response, rendering HLF as an optimal target for the prevention and intervention of HCC.

The pancreas of vertebrates is separately derived from both the dorsal and ventral endodermal domains. However, the difference between these two programs has been unclear. Here, using a pancreatic determination gene, , driven GFP transgenic mouse strain, we identified Pdx1-GFP highly expressing cells (Pdx1) and Pdx1-GFP lowly expressing cells (Pdx1) in both embryonic dorsal Pdx1-expressing region (DPR) and ventral Pdx1-expressing region (VPR). We analyzed the transcriptomes of single Pdx1 and Pdx1 cells from the DPR and VPR. In the VPR, Pdx1 cells have an intermediate progenitor identity and can generate hepatoblasts, extrahepatobiliary cells, and Pdx1 pancreatic progenitor cells. In the DPR, Pdx1 cells are directly specified as pancreatic progenitors, whereas Pdx1 cells are precocious endocrine cells. Therefore, our study defines distinct road maps for dorsal and ventral pancreatic progenitor specification. The findings provide guidance for optimization of current β-cell induction protocols by following the dorsal pancreatic specification program.

Abstract. The aim of this study was to objectively evaluate the benefits of laparoscopically assisted vaginal radical hysterectomy and lymphadenectomy for early-stage cervical cancer. Clinical data were prospectively collected from patients with IA-IIB cervical cancer who underwent laparoscopically assisted vaginal radical hysterectomy (n1=33) and laparotomy (n2=30). Peripheral blood samples were obtained prior to surgery and at 1 and 2 h into the operation, as well as on days 1, 4 and 7 following surgery to measure serum interleukin-6, C-reaction protein and cortisol. Results showed that there was no conversion to laparotomy in the laparoscopy group. The average blood loss was 317.23±217.20 ml (laparoscopy group) and 872.58±693.16 ml (laparotomy group). No significant difference was found in the number of resected pelvic lymph nodes (19.74±7.43 in the laparoscopy group and 20.35±6.62 in the laparotomy group). At days 1 and 7 after surgery, the serum IL-6 level was significantly different in the laparoscopy and laparotomy groups (day 1: laparoscopy group 17.14±16.53 pg/ml and laparotomy group 34.32±20.97 pg/ml, p= 0.001; day 7: laparoscopy group 6.7±7.21 pg/ml and laparotomy group 17.54±16.47 pg/ml, p=0.001). The serum CRP level was significantly different at days 1 and 7 after the operation (day 1: laparoscopy group 7024.72±949.12 ng/ml and laparotomy group 7586.61±869.42 ng/ml, p=0.018; day 7: laparoscopy group 4357.71±2108.85 ng/ml and laparotomy group 6967.96±995.02 ng/ml, p<0.001). A significant difference was noted in the serum cortisol level at day 4 after the operation (122.29±65.17 ng/ml in the laparoscopy group and 186.76±68.61 ng/ml in the laparotomy group, p<0.001). In conclusion, the differences in clinical data and the various parameters pertinent to surgical stress evaluated in this study suggest that laparoscopic surgery for cervical cancer causes less postoperative stress than conventional open surgery.

Solar energy is used in buildings worldwide. However, because the efficiency of photovoltaic power generation varies with environmental fluctuations, it is difficult to control. Therefore, electricity generation from photovoltaics is often poorly matched to the electricity load of the house. The use of storage batteries and photovoltaic panels can effectively improve the stability of the energy supply; however, it also introduces the problem of higher initial costs. Generally, a larger photovoltaic area and battery capacity can lead to higher costs and more renewable energy; therefore, to determine a suitable size of photovoltaic and storage battery for a house, the energy demand of the house must also be considered. The traditional method for sizing photovoltaics and storage batteries mainly considers the daily average electricity demand and the useful area for installing photovoltaics. To size the photovoltaic in a more precise manner, we propose a mathematical model (nonlinear programming) for selecting a relatively optimal solution for the photovoltaic area, battery capacity, and photovoltaic installation angle by considering the hourly and annual demands for electricity from the grid. To validate this mathematical method, a detached house in Zhouzhi county, Shaanxi province, China, was selected to size the devices by the proposed method. Results show that the device sizes determined using the proposed mathematical model are significantly smaller than those determined using the traditional method, without suffering a significant increase in the demand for electricity from the grid. According to our economic analysis, although the proposed method for sizing devices reduces the device cost payback period by half compared to that of the traditional method, the payback period for the devices sized using the proposed method is still 10.6 years. The extremely low electricity price in China may contribute to the extended payback period and thus discourage residents from installing renewable energy devices.

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