SUVmax of 18F-FDG PET/CT correlates to expression of major chemotherapy-related tumor markers and serum tumor markers in gastric adenocarcinoma patients.

The expression of P53 was previously found by us significantly correlated with maximal standardized uptake value (SUVmax) in non-small cell lung cancer (NSCLC) patients. Hence, the aim of this study was to clarify the relationship between SUVmax and the status of the chemotherapy-related tumor marker expression or serum tumor markers in gastric adenocarcinoma patients. Sixty-four gastric adenocarcinoma patients who underwent 18F-FDG PET/CT prior to treatment were enrolled in this study. Immunohistochemistry was performed to detect changes of Her-2, P53 and Survivin in lesions, and electrochemiluminescence (ECL) method was used to quantify expression of serum CA72-4, CA19-9 and CEA of these patients. Then, the relationships between these parameters above were assessed by Spearman correlation analysis. Also, receiver-operating characteristic (ROC) curve was performed to determine the best cut-off value of SUVmax for suggesting chemotherapy resistant tumor markers. Besides, we identified a linear correlation to estimate the equations between SUVmax and the serum tumor markers. Our results showed that higher SUVmax was detected in patients with positive expression of Her-2 and P53, compared with negative groups. The Spearman correlation analysis showed that SUVmax was associated with Her-2 or P53 with the moderate relevant Pearson correlation coefficient. ROC curve analysis showed that the sensitivity and specificity of SUVmax for suggesting Her-2 or P53-positive, when the cut-off value of SUVmax was set at 3.25 or 5.45, respectively. Moreover, the relationship between SUVmax and serum tumor markers were analyzed by linear correlation analysis, and serum CA72-4 and CA19-9 could be used as independent parameters to establish an equation for SUVmax by the linear regression models. These results suggested that SUVmax of 18F-FDG PET/CT could be used to predict and evaluate Her-2 or P53 related chemotherapy resistance of gastric adenocarcinoma patients. However, before PET/CT scanning, serum tumor markers could be used to calculate the SUVmax approximately.

Fluorodeoxyglucose positron emission tomography and chemotherapy-related tumor marker expression in non-small cell lung cancer.

BACKGROUND: The chemotherapy resistance of non-small cell lung cancer (NSCLC) remains a clinic challenge and is closely associated with several biomarkers including epidermal growth factor receptor (EGFR) ( Drugs 72(Suppl 1):28-36, 012.), p53 ( Med Sci Monit 11(6):HY11-HY20, 2005.) and excision repair cross complementing gene 1 (ERCC1) ( J Thorac Oncol 8(5):582-586, 2013.). Fluorodeoxyglucose positron emission tomography (FDG-PET) is the best non-invasive surrogate for tumor biology with the maximal standardized uptake values (SUVmax) being the most important paradigm. However, there are limited data correlating FDG-PET with the chemotherapy resistant tumor markers. The purpose of this study was to determine the correlation of chemotherapy related tumor marker expression with FDG-PET SUVmax in NSCLC. METHODS: FDG-PET SUVmax was calculated in chemotherapy naïve patients with NSCLC (n=62) and immunohistochemical analysis was performed for EGFR, p53 or ERCC1 on the intraoperative NSCLC tissues. Each tumor marker was assessed independently by two pathologists using common grading criteria. The SUVmax difference based on the histologic characteristics, gender, differentiation, grading and age as well as correlation analysis among these parameters were performed. Multiple stepwise regression analysis was further performed to determine the primary predictor for SUVmax and the receiver operating characteristics (ROC) curve analysis was performed to detect the optimized sensitivity and specificity for SUVmax in suggesting chemotherapy resistant tumor markers. RESULTS: The significant tumor type (P=0.045), differentiation (P=0.021), p53 (P=0.000) or ERCC1 (P=0.033) positivity dependent differences of SUVmax values were observed. The tumor differentiation is significantly correlated with SUVmax (R=-0.327), tumor size (R=-0.286), grading (R=-0.499), gender (R=0.286) as well as the expression levels for p53 (R= -0.605) and ERCC1 (R=-0.644). The expression level of p53 is significantly correlated with SUVmax (R=0.508) and grading (R=0.321). Furthermore, multiple stepwise regression analysis revealed that p53 expression was the primary predictor for SUVmax. When the cut-off value of SUVmax was set at 5.15 in the ROC curve analysis, the sensitivity and specificity of SUVmax in suggesting p53 positive NSCLC were 79.5% and 47.8%, respectively. CONCLUSION: The current study suggests that SUVmax of primary tumor on FDG-PET might be a simple and good non-invasive method for predicting p53-related chemotherapy resistance in NSCLC when we set the cu-off value of SUVmax at 5.15.

Preparation and characterization of bionanocomposite fiber based on cellulose and nano-SiO2 using ionic liquid.

Microcrystalline cellulose (MCC)/nano-SiO2 composite fibers were processed from solutions in 1-allyl-3-methylimidazolium chloride (AMIMCl) by the method of dry-jet wet spinning. The oscillatory shear measurements demonstrated that the gel network formed above 10 wt% nano-SiO2 and the complex viscosity increased with increasing nano-SiO2. Remarkably, the shear viscosity of the nanofluids was even lower than solutions without nano-SiO2 under high shear rates. Scanning electron microscopy (SEM) and transmission electron microscopy (TEM) images revealed that well-dispersed particles exhibit strong interfacial interactions with cellulose matrix. Measurements on wide-angle X-ray diffraction (WAXD) indicated that the regenerated cellulose and nanocomposite fibers were the typical cellulose II crystalline form, which was different from the native cellulose with the polymorph of Type I. The tensile strength of the nanocomposite fibers was larger than that of pure cellulose fiber and showed a tendency to increase and then decrease with increasing nano-SiO2. Furthermore, the nanocomposite fibers exhibited improved thermal stability.