A Nomogram for Predicting Event-Free Survival in Childhood Acute Lymphoblastic Leukemia: A Multicenter Retrospective Study.

Objective: Even though childhood acute lymphoblastic leukemia (ALL) has an encouraging survival rate in recent years, some patients are still at risk of relapse or even death. Therefore, we aimed to construct a nomogram to predict event-free survival (EFS) in patients with ALL. Method: Children with newly diagnosed ALL between October 2016 and July 2021 from 18 hospitals participating in the South China children's leukemia Group (SCCLG) were recruited and randomly classified into two subsets in a 7:3 ratio (training set, n=1187; validation set, n=506). Least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis were adopted to screen independent prognostic factors. Then, a nomogram can be build based on these prognostic factors to predict 1-, 2-, and 3-year EFS. Concordance index (C-index), area under the curve (AUC), calibration curve, and decision curve analysis (DCA) were used to evaluate the performance and clinical utility of nomogram. Result: The parameters that predicted EFS were age at diagnosis, white blood cell at diagnosis, immunophenotype, ETV6-RUNX1/TEL-AML1 gene fusion, bone marrow remission at day 15, and minimal residual disease at day 15. The nomogram incorporated the six factors and provided C-index values of 0.811 [95% confidence interval (CI) = 0.792-0.830] and 0.797 (95% CI = 0.769-0.825) in the training and validation set, respectively. The calibration curve and AUC revealed that the nomogram had good ability to predict 1-, 2-, and 3-year EFS. DCA also indicated that our nomogram had good clinical utility. Kaplan-Meier analysis showed that EFS in the different risk groups stratified by the nomogram scores was significant differentiated. Conclusion: The nomogram for predicting EFS of children with ALL has good performance and clinical utility. The model could help clinical decision-making.

Fasting, Nutrition and Weight Loss: An Approach to Refine Non-Alcoholic Fatty Liver Disease.

Non-alcoholic fatty liver disease (NAFLD) is considered as one of the most common causes of chronic liver disease. It includes a group of conditions associated with fat deposition in liver cells. Also, NAFLD is strongly associated with obesity and insulin resistance (IR). Until now, there is no pharmacological treatment validated for this disease. Fasting, nutritional intervention, and weight loss can be considered the first line in treating hepatic steatosis. This review is based on the scientific evidence showing the results of these interventions in the past years. The results include fasting and nutritional support for NAFLD treatment in humans. In clinical trials and cohort studies, an increase in hepatic fat content was correlated with a weight loss of at least 7% and a diet resembling the Mediterranean diet (MD) improving hepatic biomarkers and histological regression of NAFLD. Fasting is a dietary approach known to improve the lipid profile in healthy and obese populations by decreasing overall cholesterol, triglycerides, LDL, and increasing HDL. Bariatric surgery helps improve liver fat content in patients with serious health problems due to overweight.

Anisotropic patterns of liver cancer prevalence in Guangxi in Southwest China: is local climate a contributing factor?

Geographic information system (GIS) technology has useful applications for epidemiology, enabling the detection of spatial patterns of disease dispersion and locating geographic areas at increased risk. In this study, we applied GIS technology to characterize the spatial pattern of mortality due to liver cancer in the autonomous region of Guangxi Zhuang in southwest China. A database with liver cancer mortality data for 1971-1973, 1990-1992, and 2004-2005, including geographic locations and climate conditions, was constructed, and the appropriate associations were investigated. It was found that the regions with the highest mortality rates were central Guangxi with Guigang City at the center, and southwest Guangxi centered in Fusui County. Regions with the lowest mortality rates were eastern Guangxi with Pingnan County at the center, and northern Guangxi centered in Sanjiang and Rongshui counties. Regarding climate conditions, in the 1990s the mortality rate of liver cancer positively correlated with average temperature and average minimum temperature, and negatively correlated with average precipitation. In 2004 through 2005, mortality due to liver cancer positively correlated with the average minimum temperature. Regions of high mortality had lower average humidity and higher average barometric pressure than did regions of low mortality. Our results provide information to benefit development of a regional liver cancer prevention program in Guangxi, and provide important information and a reference for exploring causes of liver cancer.

[Using spatial autocorrelation analysis to study spatial heterogeneity of liver cancer in Guangxi].

OBJECTIVE: To study the spatial distribution characteristics of liver cancer in Guangxi so as to provide evidence for the development of control and prevention on liver cancer. METHODS: The average eight year morbidity was computed, using the rates of liver cancer in 2000-2007. The spatial statistics module of GIS was used to conduct spatial autocorrelation analysis, and the disease mapping was drawn, using the Map Info 8.0 software. RESULTS: The average morbidity rate was clustered in Guangxi in the past eight years, with Moran's I index as 0.34 and P value below 0.01. G index appeared to be 0.77 and the P value was below 0.01. Moran's I correlogram lifted up in four spaces, specifically, the cluster took place in both macro-scale (one to three spatial intervals, 45 to 135 km real scale) and micro-scale (16 to 18 spatial intervals, 720 to 800 km real scale). When the spatial interval became 14 and real scale was 60 km, the spatial distribution of liver cancer showed the most intensive autocorrelation. Most of the regions with high morbidity would be clustered in the southwest and southern parts, along the coastal areas of Guangxi while the regions with low morbidity clustered in the northern part of Guangxi. CONCLUSION: Liver cancer was found un-randomly distributed and geographically clustered in Guangxi in 2000-2007.

[The changes of prostate specific antigen (PSA) after treatment with alpha 1-adrenergic receptor antagonists in men with 4.0-9.9 ng/ml PSA level--a study for comparison of benign prostatic hyperplasia/lower urinary tract symptom (BPH/LUTS) and prostate cancer].

The aims of this study were to define the relationships between prostate-specific antigen (PSA) and alpha 1-adrenergic receptor antagonist (alpha 1 blocker). A prospective clinical study of 48 male patients examined between May 2004 and December 2007 was performed. 4.0-9.9 ng/ml PSA level who had no notable clinical findings of urinary retention, urinary tract infections and prostate cancer (PC) received tamusulosin 0.2 mg once daily for 3 months, and then received prostate biopsy. We divided the patients into two groups: PC and benign prostate hyperplasia (BPH)/lower urinary tract symptom (LUTS) group. In total, the PSA level showed no significant change after treatment. In the PC group, PSA significantly increased after treatment. However, PSA decreased in the BPH/LUTS group. The alpha 1 blocker significantly improved urination status (the subjective symptoms and urodynamics parameters) in the BPH/LUTS group. In two groups, prostate volume showed no significant difference. Among those patients in the BPH/LUTS group, their urination status was significantly improved with alpha 1 blocker and their PSA level dropped slightly. On the other hand, the PSA level was significantly increased in the PC group. This study shows that by using an alpha 1 blocker, it may be possible to avoid conducting the prostate biopsy at an early stage or indeed one may not be needed at all for patients with only slight increases in PSA.

Metastin inhibits migration and invasion of renal cell carcinoma with overexpression of metastin receptor.

BACKGROUND: Metastin, the final peptide of the KiSS-1 gene, has been proposed to suppress cell motility. OBJECTIVE: This study investigated whether renal cell carcinoma (RCC) tissue expresses metastin or its receptor, and clarified whether metastin can suppress migration and/or invasion and/or proliferation of RCC cells in vitro. DESIGN, SETTING, AND PARTICIPANTS: Twenty-five RCC samples were submitted. Fresh RCC tissues were prepared for real-time RT-PCR, and formalin-fixed and paraffin-embedded tissues blocks were examined by immunohistochemistry. RCC cell lines Caki-1 and ACHN were supplied for cell migration, invasion, and proliferation assays. MEASUREMENTS: Real-time RT-PCR was performed by using Taq Man gene expression system. ENVISION system was used in immunohistochemistry. Wound-healing assay and matrigel assays were used to identify migration and invasion abilities of RCC cell lines. Cell Counting Kit-8 was applied to measure the cell proliferation. Cell morphology was examined under a META system. Statistical analysis was performed with SPSS15.0J. RESULTS AND LIMITATIONS: In twenty-five RCC samples, the mRNA level of metastin receptor was identified to be significantly higher than non-neoplastic renal cortex by real-time RT-PCR (p=0.011). Immunohistochemical study also detected metastin receptor protein in all RCC tumors. In vitro, this study showed that metastin inhibited migration and invasion of Caki-1 and ACHN cells. In contrast, it had no effects on cell proliferation. Metastin (10 micromol/l) induced excessive formation of focal adhesions and stress fibers in Caki-1 and ACHN cells; this phenomenon was inhibited by pretreating pharmacological Rho-kinase inhibitor (Y-27632) to those cells. CONCLUSION: This is the first report regarding overexpression of the metastin receptor hOT7T175 in human RCC. We demonstrate that metastin can inhibit migration and invasion of the RCC cell line, which is regulated by a Rho-kinase inhibitor. Metastin and its receptor are therefore probable targets for suppressing RCC.