Objective To review the latest research progress of heme oxygenase 1 (HO-1), to thoroughly understand different functions of HO-1 and its influence on osteogenesis and angiogenesis of stem cells, and to analyze HO-1 application in bone tissue engineering. Methods Domestic and international literature on HO-1 in recent years was extensively reviewed and analyzed. Results The activity of HO-1 and its enzymatic products not only have the properties of anti-inflammatory, anti-apoptosis, and cytoprotection, but also can promote angiogenesis combined with other growth factors and protect the vessel which already exist. Moreover, HO-1 has an effect on the proliferation, paracrine signaling, osteoblastic differentiation, and anti-apoptosis of stem cells. Conclusion HO-1 can be used as a multi-function growth factor in bone tissue engineering, but more investigation should emphasis on synergistic effect of each function so as to improve bone repair.
ObjectiveTo construct a model for predicting prognosis risk in patients with pancreatic malignancy (PM).MethodsThe clinicopathological data of 8 763 patients with PM undergone resection between 2010 and 2015 were collected and analyzed by SEER*Stat (v8.3.5) and R software, respectively. The univariate and multivariate Cox proportional hazard regression analysis were used to analyze the factors for predicting prognosis outcome risk and constructed the nomograms of patients with PM, respectively. Kaplan-Meier method was used to evaluate the survival of patients according to relevant factors and the high risk group and low risk group of patients with PM. The discriminative ability and calibration of the nomograms to predict overall survival were tested by using C-index, area under ROC curve (AUC) and calibration plots.ResultsThe multivariate Cox proportional hazard regression analysis showed that age, T staging, N staging, M staging, histological type, the differentiation, number of regional lymph node dissection, chemotherapy, and radiotherapy were independent factors for predicting the prognosis of patients with PM (P<0.05). Based on regression analysis of patients with PM, a nomograms model for predicting the risk of patients with PM was established, including age, T staging, N staging, M staging, histological type, the differentiation, tumor location, type of surgery, number of regional lymph node dissection, chemotherapy, and radiotherapy. The discriminative ability and calibration of the nomograms revealed good predictive ability as indicated by the C-index (0.747 for modeling group and 0.734 for verification group). The 3- and 5-year survival AUC values of the modeling group were 0.766 and 0.781, and the validation group were 0.758 and 0.783, respectively. The calibration plots showed that predictive value of the 3- and 5-year survival were close to the actual values in both modeling group and the verification group. ConclusionsIndependent predictors of survival risk after curative-intent surgery for PM were selected to create nomograms for predicting overall survival. The nomograms provide a basis for judging the prognosis of PM patients.