Analysis of factors affecting the prognosis of transcatheter arterial chemoembolization for hepatitis B-related hepatocellular carcinoma

Objectives:The purpose of this study was to investigate the prognostic factors for transcatheter arterial chemoembolization(TACE)for hepatitis B-related hepatocellular carcinoma(HCC).Materials and methods:The variables that may affect overall survival(OS),such as age,gender,AFP,Child Pugh classification,body mass index,HBV-DNA,Hbe Ag,tumor number,tumor diameter,BCLC stage,embolization method,ablation therapy,and targeted therapy,were analyzed by single factor and many factor COX regression.In addition,predictive factors of OS were stratified and a Kaplan-Meier survival curve was drawn.Results:Among the 136 patients,the median follow-up time was 14.5 months(range:2–72 months).HCC patients with the tumor diameter<3 cm had the highest survival rate,followed by patients with a tumor diameter of 3–5 cm;the survival rate of patients with the tumor diameter(greater than 5 cm)was the lowest.Among the BCLC stages,stage A patients had the highest survival rate,followed by stage B and stage C patients,which had the lowest survival rate.The survival rate of Child Pugh grade A patients was higher than those with Child Pugh grade B.Compared with patients who did not undergo ablation treatment,the survival rate of patients with combined ablation treatment was relatively high.The survival rate of patients receiving drug-eluting beads transarterial chemoembolization(DEB-TACE)treatment was higher than those receiving conventional transarterial chemoembolization(c TACE)treatment.Additionally,repeated TACE treatment improved the OS rate of patients.These six factors were related to patient prognosis and the differences were statistically significant(P<0.05).Conclusions:Tumor diameter,BCLC stage,TACE repetition,and TACE combined with ablation were independent prognostic factors of OS.

FTIR Study of White and Green Broad Beans Based on Curve-fitting

Fourier transform infrared(FTIR)spectroscopy was used to study two kinds of broad beans with white and green cotyledons respectively.The results show that the infrared spectra of the two kinds of broad beans are similar and mainly made up of the absorption bands of protein,and polysaccharides.The second derivative infrared spectra amplified the differences and revealed that there were some obvious differences in the range of 1 800-700 cm-1and 1 200-700 cm-1.Hierarchical cluster analysis(HCA)were used for the discrimination of the two kinds broad beans based on the second derivative spectral data in the region of 1 611-1 100 cm-1,and yielded 88.9%accuracy.The spectra in the range from 1 700 to 1 600 cm-1were used to perform Fourier self-deconvolution and curve fitting,which obtained nine peaks.The ratios of relative areas of the bands atα-helix,β-sheet,β-turn and the unordered structure of protein in white beans were 67.71%,35.6%,35.6%and 21.09%respectively,while the ratios in green beans were 8.02%,31.59%,37.12%and 23.27%respectively.The results indicate that the secondary structure of protein was different in the two kinds of broad beans.

Discrimination of Five Citrus Diseased Leaves by FTIR Spectroscopy

In this paper,citrus brown spot,huanglongbing,canker,fuliginous,Cercospora sp. and healthy leaves were studied using Fourier transform infrared spectroscopy( FTIR) combined with statistical analysis. The results showed that the spectra of the samples were similar,whereas there were obvious differences in the second derivatives of infrared spectra in the range of 1 500- 700 cm- 1. The correlative analysis were evaluated,results showed that the correlation coefficients were larger than 0. 918 between healthy leaves,and between the same diseased leaves. However,the values were all decreased between healthy and diseased leaves,and among different diseased leaves. The preprocessed original,first derivative and second derivative spectra in the range of 1 200- 700 cm- 1were chosen to evaluated principal component analysis( PCA) and hierarchical cluster analysis( HCA),respectively. The performance of the overall accuracy of PCA was 92.5%,which were better than original dataset and first derivative dataset. HCA by selecting second derivative dataset yield about 90% accuracy. This study proved that FTIR spectroscopy could be detected citrus diseases quickly and accurately.