Validation of the GALAD model and establishment of a new model for HCC detection in Chinese patients

BackgroundGALAD model is a statistical model used to estimate the possibility of hepatocellular carcinoma (HCC) in patients with chronic liver disease. Many studies with other ethnic populations have shown that it has high sensitivity and specificity. However, whether this model can be used for Chinese patients remains to be determined. Our study was conducted to verify the performance of GALAD model in a Chinese cohort and construct a new model that is more appropriately for Chinese populations.MethodsThere are total 512 patients enrolled in the study, which can be divided into training set and validation set. 80 patients with primary liver cancer, 139 patients with chronic liver disease and 87 healthy people were included in the training set. Through the ROC(receiver operating characteristic) curve analysis, the recognition performance of GALAD model for liver cancer was evaluated, and the GAADPB model was established by logistic regression, including gender, age, AFP, DCP, total protein, and total bilirubin. The validation set (75 HCC patients and 130 CLD patients) was used to evaluate the performance of the GAADPB model.ResultThe GALAD and GAADPB achieved excellent performance (area under the receiver operating characteristic curve [AUC], 0.925, 0.945), and were better than GAAP, Doylestown, BALAD-2, aMAP, AFP, AFP-L3%, DCP and combined detection of AFP, AFP-L3 and DCP (AUCs: 0.894, 0.870, 0.648, 0.545, 0.879, 0.782, 0.820 and 0.911) for detecting HCC from CLD in the training set. As for early stage of HCC (BCLC 0/A), GAADPB had the best sensitivity compared to GALAD, ADP and DCP (56.3%, 53.1%, 40.6%, 50.0%). GAADPB had better performance than GALAD in the test set, AUC (0.896 vs 0.888).ConclusionsThe new GAADPB model was powerful and stable, with better performance than the GALAD and other models, and it also was promising in the area of HCC prognosis prediction. Further study on the real-world HCC patients in China are needed

Tuning local chemistry of P2 layered-oxide cathode for high energy and long cycles of sodium-ion battery

Layered transition-metal oxides have attracted intensive interest for cathode materials of sodium-ion batteries. However, they are hindered by the limited capacity and inferior phase transition due to the gliding of transition-metal layers upon Na+ extraction and insertion in the cathode materials. Here, we report that the large-sized K+ is riveted in the prismatic Na+ sites of P2-Na0.612K0.056MnO2 to enable more thermodynamically favorable Na+ vacancies. The Mn-O bonds are reinforced to reduce phase transition during charge and discharge. 0.901 Na+ per formula are reversibly extracted and inserted, in which only the two-phase transition of P2 ↔ P’2 occurs at low voltages. It exhibits the highest specific capacity of 240.5 mAh g−1 and energy density of 654 Wh kg−1 based on the redox of Mn3+/Mn4+, and a capacity retention of 98.2% after 100 cycles. This investigation will shed lights on the tuneable chemical environments of transition-metal oxides for advanced cathode materials and promote the development of sodium-ion batteries

Influence of the IGFBP3-202A/C Gene Polymorphism on Clinical Features and Surgery Outcome in Acromegalic Patients

Purpose: Excess growth hormone (GH) secretion in acromegaly patients results in increased levels of IGF-1 expression, which causes the clinical manifestations of acromegaly. IGF-1 levels are attenuated by IGFBP3, and a polymorphism in the promoter of IGFBP3 is known to affect the circulating level of IGFBP3 protein. The aim of the study was to evaluate the association of the IGFBP3 gene polymorphism with clinical features and surgery outcomes in acromegaly. We also investigate the difference in IGFBP3 polymorphism between acromegaly and general population.Methods: The study included 102 acromegalic patients and 142 sex- and age-matched healthy controls. The genotyping of IGFBP3 was carried out using the MassARRAY method. Patients were followed up for 4–12 months to estimate the neurosurgical effects. Clinical data were obtained from the medical records.Results: The CC genotype, which is associated with decreased IGFBP3 levels, was less common in acromegaly patients than among the healthy controls; although, this correlation was not significant (P = 0.056). There was no association of the IGFBP3 gene polymorphism with glucose, lipid, phosphorus, blood urea nitrogen, creatinine or uric acid levels. Additionally, there was no association between tumor size, texture, or hemorrhage/cyst, except there was a trend that more patients with the C allele (P = 0.054) needed additional treatment post-operation than did patients carrying the A allele (OR 1.985, 95% CI 0.983–4.008). Moreover, higher IGF-1 values after treatment were observed in patients carrying the C allele (P = 0.012 and P = 0.014 according to the additive model and dominant model, respectively).Conclusion: Polymorphisms in IGFBP3 may not influence metabolic parameters or pituitary tumor characteristics in acromegalic patients, but they may be associated with the hormone levels and surgery effects