4篇
您的检索式：作者名="SHISHUAI ZHANG"
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| 1 | Bionic Coupling of Hardness Gradient to Surface Texture for Improved Anti-wear Properties显示文摘 | Long Zheng Jianjun Wu Si Zhang Shishuai Sun Zhihui Zhang Song Liang Zhenning Liu Luquan Ren | 2016 | Journal of Bionic Engineering2016，13，3： | 9 |
| 2 | Characteristics of lipid metabolism-related gene expression-based molecular subtype in papillary thyroid cancer显示文摘Merabolic reprogramming has been recognized as one of the 10 new hallmarks of cancer cells[1].Increased glycolysis(Warburg effect)under normoxic conditions and glutamine metabolism has been well recognized as the main characteristics of human malignancies[2]. | Midie Xu Tuanqi Sun Shishuai Wen Tingting Zhang Xin Wang Yiming Cao Yu Wang Xing Sun Qinghai Ji Rongliang Shi Ning Qu | 2020 | Acta Biochimica et Biophysica Sinica2020，52，10： | 1 |
| 3 | Monitoring of 2-D combustion temperature images in a 670 t/h Utility Boiler and simulation on its application in combustion control 显示文摘 | HUAICHUN ZHOU SHISHUAI ZHANG | 2000 | Developments in Chemical Engineering and Mineral Processing2000，8，34： | 1 |
| 4 | Identification of lipid metabolism-related genes as prognostic indicators in papillary thyroid cancer显示文摘Lipid metabolism plays important roles not only in the structural basis and energy supply of healthy cells but also in the oncogenesis and progression of cancers.In this study,we investigated the prognostic value of lipid metabolism-related genes in papillary thyroid cancer(PTC).The recurrence predictive gene signature was developed and internally and externally validated based on PTC datasets including The Cancer Genome Atlas(TCGA)and GSE33630 datasets.Univariate,LASSO,and multivariate Cox regression analysis were applied to assess prognostic genes and build the prognostic gene signature.The expression profiles of prognostic genes were further determined by immunohistochemistry of tissue microarray using in-house cohorts,which enrolled 97 patients.Kaplan–Meier curve,time-dependent receiver operating characteristic curve,nomogram,and decision curve analyses were used to assess the performance of the gene signature.We identified four recurrence-related genes,PDZK1IP1,TMC3,LRP2 and KCNJ13,and established a four-gene signature recurrence risk model.The expression profiles of the four genes in the TCGA and in-house cohort indicated that stage T1/T2 PTC and locally advanced PTC exhibit notable associations not only with clinicopathological parameters but also with recurrence.Calibration analysis plots indicate the excellent predictive performance of the prognostic nomogram constructed based on the gene signature.Single-sample gene set enrichment analysis showed that high-risk cases exhibit changes in several important tumorigenesis-related pathways,such as the intestinal immune network and the p53 and Hedgehog signaling pathways.Our results indicate that lipid metabolism-related gene profiling represents a potential marker for prognosis and treatment decisions for PTC patients. | Shishuai Wen Yi Luo Weili Wu Tingting Zhang Yichen Yang Qinghai Ji Yijun Wu Rongliang Shi Ben Ma Midie Xu Ning Qu | 2021 | Acta Biochimica et Biophysica Sinica2021，53，12： | 0 |
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