ABSTRACT
Objective To analyze the role of preoperative peripheral blood inflammatory parameters and postoperative lymph-node ratio (LNR) in the prognosis of gastric cancer patients treated with chemotherapy. Methods The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune inflammatory response index (SII), lymphocyte-to-monocyte ratio (LMR), Onodera prognostic nutritional index (OPNI), and LNR of 108 patients with gastric cancer were classified into high and low groups to analyze their prognostic value on the overall survival (OS) of gastric cancer patients treated with chemotherapy. The independent prognostic indicators were plotted in columns to predict the survival rate of gastric cancer patients. Results NLR was statistically significant in the prognostic assessment of gastric cancer patients treated with chemotherapy (P < 0.001). Moreover, the high PLR group, high SII group, high LNR group, N3 stage, TNM (Ⅲ-Ⅳ) stage, nerve invasion, and carcinoembryonic antigen (CEA) were independent risk factors for the prognosis of gastric cancer (all P < 0.05). These findings indicated that in predicting the prognosis of gastric cancer, the combination of LNR, PLR, and SII (AUC=0.875) was better than that of LNR, PLR, and SII alone or in pairwise combination. Conclusion Elevated NLR, LNR, PLR, and SII are associated with significantly reduced survival of patients. LNR, PLR, and SII could be used as independent risk factors for the prognosis of gastric cancer patients treated with chemotherapy, and their combination can predict the survival of gastric cancer patients.
ABSTRACT
The smooth surface of the metallic nanostructure is essential for the propagation of surface plasmon polaritons. In this paper, we present a novel method to fabricate the metallic nanopatterns with ultra-smooth surface on various substrates. By using a silica film as the sacrificial layer, we show that the prefabricated metallic nanopatterns produced by electron beam lithography and film deposition can be hydrolyzed and transferred onto a designated substrate. The ultra-smooth surface morphology of nanopatterns has been characterized and verified by scanning electron microscopy and atomic force microscopy. More importantly, we demonstrate that this method can successfully produce a variety of nanostructures with high product yield, even onto the uneven substrate. The results indicate that our proposed method is a promising and versatile means to fabricate multiplicate smooth metallic nanostructure on various substrates for the application of nanophotonic devices.
