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185 results on '"Shao, Xiaoguang"'

20. PGT‐A: The biology and hidden failures of randomized control trials

Author

Wang, Li, primary, Wang, Xiaohong, additional, Li, Min, additional, Liu, Yun, additional, Ou, Xianghong, additional, Chen, Lei, additional, Shao, Xiaoguang, additional, Quan, Song, additional, Duan, Jinliang, additional, He, Wei, additional, Shen, Huan, additional, Sun, Ling, additional, Yu, Yuexin, additional, Cram, David S., additional, Leigh, Donald, additional, and Yao, Yuanqing, additional

Published
2022
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23. Surface-Enhanced Raman Spectroscopy of Pretreated Plasma Samples Predicts Disease Recurrence in Muscle-Invasive Bladder Cancer Patients Undergoing Neoadjuvant Chemotherapy and Radical Cystectomy

Author

Qian,Hongyang, Wang,Yiqiu, Ma,Zehua, Qian,Lei, Shao,Xiaoguang, Jin,Di, Cao,Ming, Liu,Shupeng, Chen,Haige, Pan,Jiahua, Xue,Wei, Qian,Hongyang, Wang,Yiqiu, Ma,Zehua, Qian,Lei, Shao,Xiaoguang, Jin,Di, Cao,Ming, Liu,Shupeng, Chen,Haige, Pan,Jiahua, and Xue,Wei

Abstract

Hongyang Qian,1,* Yiqiu Wang,1,* Zehua Ma,1,* Lei Qian,1 Xiaoguang Shao,1 Di Jin,1 Ming Cao,1 Shupeng Liu,2 Haige Chen,1 Jiahua Pan,1 Wei Xue1 1Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, People’s Republic of China; 2Shanghai Institute for Advanced Communication and Data Science, Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, People’s Republic of China*These authors contributed equally to this workCorrespondence: Wei Xue; Jiahua Pan, Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 1630 Dongfang Road, Shanghai, 200127, People’s Republic of China, Tel +86 21 6838 3375, Email xuewei@renji.com; panjiahua@renji.comObjective: To explore the value of surface-enhanced Raman spectroscopy analysis of pretreated plasma samples in prediction of bladder cancer (BCa) recurrence after neoadjuvant chemotherapy (NAC) and radical cystectomy (RC).Patients and Methods: SERS was used to analyze plasma samples collected before biopsy and treatment in BCa patients undergoing NAC and RC. The value of clinicopathological parameters and distinctive SERS peaks in the prediction of disease recurrence were analyzed in Cox regression proportional hazard analysis and Log rank test. Principal component analysis and linear discriminant analysis (PCA-LDA) were employed to process spectral data and construct diagnostic algorithms.Results: A total of 88 patients with 440 plasma SERS spectra were collected. The SRES spectra from recurrent patients were compared with patients who remained recurrence free. The SERS demonstrated higher levels of circulating free nucleic acid components in recurrent population, which is represented by significantly higher intensities at SERS peaks of 725 cm− 1, 1328 cm− 1 and 1455 cm− 1. The SERS also detected signific

Published
2022

25. Surface-Enhanced Raman Spectroscopy of Pretreated Plasma Samples Predicts Disease Recurrence in Muscle-Invasive Bladder Cancer Patients Undergoing Neoadjuvant Chemotherapy and Radical Cystectomy

Author

Qian, Hongyang, primary, Wang, Yiqiu, additional, Ma, Zehua, additional, Qian, Lei, additional, Shao, Xiaoguang, additional, Jin, Di, additional, Cao, Ming, additional, Liu, Shupeng, additional, Chen, Haige, additional, Pan, Jiahua, additional, and Xue, Wei, additional

Published
2022
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26. Serum homocysteine level is an independent risk factor for embryo quality in advanced infertility patient with diminished ovarian reserve: a large sample retrospective study

Author

Li, Jian, primary, Wang, Haiyan, additional, Sun, Lin, additional, Li, Juan, additional, Cao, Dan, additional, Zhao, Xiaoxuan, additional, He, Xinhuan, additional, Jiang, Yangyu, additional, Wang, Meixian, additional, Xue, Xiaoou, additional, Li, Beiqing, additional, and Shao, Xiaoguang, additional

Published
2022
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28. Additional file 1 of Identification of characteristic metabolic panels for different stages of prostate cancer by 1H NMR-based metabolomics analysis

Author

Zhang, Xi, Xia, Binbin, Zheng, Hong, Ning, Jie, Zhu, Yinjie, Shao, Xiaoguang, Liu, Binrui, Dong, Baijun, and Gao, Hongchang

Subjects
sense organs, skin and connective tissue diseases
Abstract

Additional file 1: Figure S1. Metabolic changes among different regionsof age and BMI. Principal component analysis (PCA) model was used to examine the metabolic changes among different regionsof (A) age and (B) BMI for detecting the influence of potential covariates on serum metabolome.

Published
2022
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29. Surface-Enhanced Raman Spectroscopy of Pretreated Plasma Samples Predicts Disease Recurrence in Muscle-Invasive Bladder Cancer Patients Undergoing Neoadjuvant Chemotherapy and Radical Cystectomy

Author

Qian,Hongyang, Wang,Yiqiu, Ma,Zehua, Qian,Lei, Shao,Xiaoguang, Jin,Di, Cao,Ming, Liu,Shupeng, Chen,Haige, Pan,Jiahua, and Xue,Wei

Subjects
Muscles, Organic Chemistry, Biophysics, Pharmaceutical Science, Bioengineering, General Medicine, Cystectomy, Spectrum Analysis, Raman, Neoadjuvant Therapy, Biomaterials, Urinary Bladder Neoplasms, International Journal of Nanomedicine, Drug Discovery, Humans
Abstract

Hongyang Qian,1,* Yiqiu Wang,1,* Zehua Ma,1,* Lei Qian,1 Xiaoguang Shao,1 Di Jin,1 Ming Cao,1 Shupeng Liu,2 Haige Chen,1 Jiahua Pan,1 Wei Xue1 1Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, People’s Republic of China; 2Shanghai Institute for Advanced Communication and Data Science, Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, People’s Republic of China*These authors contributed equally to this workCorrespondence: Wei Xue; Jiahua Pan, Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 1630 Dongfang Road, Shanghai, 200127, People’s Republic of China, Tel +86 21 6838 3375, Email xuewei@renji.com; panjiahua@renji.comObjective: To explore the value of surface-enhanced Raman spectroscopy analysis of pretreated plasma samples in prediction of bladder cancer (BCa) recurrence after neoadjuvant chemotherapy (NAC) and radical cystectomy (RC).Patients and Methods: SERS was used to analyze plasma samples collected before biopsy and treatment in BCa patients undergoing NAC and RC. The value of clinicopathological parameters and distinctive SERS peaks in the prediction of disease recurrence were analyzed in Cox regression proportional hazard analysis and Log rank test. Principal component analysis and linear discriminant analysis (PCA-LDA) were employed to process spectral data and construct diagnostic algorithms.Results: A total of 88 patients with 440 plasma SERS spectra were collected. The SRES spectra from recurrent patients were compared with patients who remained recurrence free. The SERS demonstrated higher levels of circulating free nucleic acid components in recurrent population, which is represented by significantly higher intensities at SERS peaks of 725 cm− 1, 1328 cm− 1 and 1455 cm− 1. The SERS also detected significantly lower levels of tryptophan shown as lower significantly intensities at the 1558 cm− 1, which is proved to be an independent predictor of BCa recurrence. The addition of SERS peaks of 1558 cm− 1 to classic clinicopathological predictors including pathological tumor stage, lymph node metastasis and pathological downstaging can significantly enhance the power of the predictive model from 0.66 to 0.76 in the area under curve (AUC) of receiver operating characteristic (ROC) curves. Meanwhile, the PCA-LDA diagnostic model based on SERS spectra reveals a high accuracy of 85.2% in prediction of disease recurrence and the AUC of 0.92 in the ROC curve. When validated in the leave-one-out cross-validation method, the accuracy of the model remained 84.1%.Conclusion: We show that SERS analysis of plasma before NAC treatment can accurately classify patients with different risks of disease recurrence after surgery and improve the power of clinicopathological predictive models, thus refining clinical decision-making.Keywords: Raman spectroscopy, bladder cancer, cancer recurrence, neoadjuvant chemotherapy, radical cystectomy

Published
2021

34. IVF embryo choices and pregnancy outcomes

Author

Wang, Li, primary, Wang, Xiaohong, additional, Liu, Yun, additional, Ou, Xianghong, additional, Li, Min, additional, Chen, Lei, additional, Shao, Xiaoguang, additional, Quan, Song, additional, Duan, Jinliang, additional, He, Wei, additional, Shen, Huan, additional, Sun, Ling, additional, Yu, Yuexin, additional, Cram, David S., additional, Leigh, Donald, additional, and Yao, Yuanqing, additional

Published
2021
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36. Nonfragile Estimator Design for Fractional-Order Neural Networks under Event-Triggered Mechanism

Author

Lyu Ming, Jie Zhang, and Shao Xiaoguang

Subjects
Lyapunov function, 0209 industrial biotechnology, Transmission delay, Artificial neural network, Article Subject, Computer science, Bandwidth (signal processing), Linear matrix inequality, Estimator, 02 engineering and technology, symbols.namesake, 020901 industrial engineering & automation, Control theory, Modeling and Simulation, Stability theory, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, symbols, 020201 artificial intelligence & image processing, Mathematics, Communication channel
Abstract

This paper is concerned with the nonfragile state estimation for a kind of delayed fractional-order neural network under the event-triggered mechanism (ETM). To reduce the bandwidth occupation of the communication network, the ETM is employed in the sensor-to-estimator channel. Moreover, in order to reflect the reality, the transmission delay is taken into account in the model establishment. Sufficient criteria are supplied to make sure that the augmented system is asymptotically stable by using the fractional-order Lyapunov indirect approach and the linear matrix inequality method. In the end, the theoretical result is shown by means of two numerical examples.

Published
2021
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37. Identification of characteristic metabolic panels for different stages of prostate cancer by 1H NMR-based metabolomics analysis.

Author

Zhang, Xi, Xia, Binbin, Zheng, Hong, Ning, Jie, Zhu, Yinjie, Shao, Xiaoguang, Liu, Binrui, Dong, Baijun, and Gao, Hongchang

Subjects
BIOCHEMISTRY, PROTON magnetic resonance spectroscopy, CROSS-sectional method, NUCLEAR magnetic resonance spectroscopy, BENIGN prostatic hyperplasia, ALANINE, RESEARCH funding, PROSTATE tumors, KETONES
Abstract

Background: Prostate cancer (PCa) is the second most prevalent cancer in males worldwide, yet detecting PCa and its metastases remains a major challenging task in clinical research setups. The present study aimed to characterize the metabolic changes underlying the PCa progression and investigate the efficacy of related metabolic panels for an accurate PCa assessment.Methods: In the present study, 75 PCa subjects, 62 PCa patients with bone metastasis (PCaB), and 50 benign prostatic hyperplasia (BPH) patients were enrolled, and we performed a cross-sectional metabolomics analysis of serum samples collected from these subjects using a 1H nuclear magnetic resonance (NMR)-based metabolomics approach.Results: Multivariate analysis revealed that BPH, PCa, and PCaB groups showed distinct metabolic divisions, while univariate statistics integrated with variable importance in the projection (VIP) scores identified a differential metabolite series, which included energy, amino acid, and ketone body metabolism. Herein, we identified a series of characteristic serum metabolic changes, including decreased trends of 3-HB and acetone as well as elevated trends of alanine in PCa patients compared with BPH subjects, while increased levels of 3-HB and acetone as well as decreased levels of alanine in PCaB patients compared with PCa. Additionally, our results also revealed the metabolic panels of discriminant metabolites coupled with the clinical parameters (age and body mass index) for discrimination between PCa and BPH, PCaB and BPH, PCaB and PCa achieved the AUC values of 0.828, 0.917, and 0.872, respectively.Conclusions: Overall, our study gave successful discrimination of BPH, PCa and PCaB, and we characterized the potential metabolic alterations involved in the PCa progression and its metastases, including 3-HB, acetone and alanine. The defined biomarker panels could be employed to aid in the diagnosis and classification of PCa in clinical practice. [ABSTRACT FROM AUTHOR]

Published
2022
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42. Surface-enhanced Raman spectroscopy of preoperative serum samples predicts Gleason grade group upgrade in biopsy Gleason grade group 1 prostate cancer

Author

Qian, Hongyang, primary, Shao, Xiaoguang, additional, Zhu, Yinjie, additional, Fan, Liancheng, additional, Zhang, Heng, additional, Dong, Baijun, additional, Wang, Yanqing, additional, Xu, Fan, additional, Zhen, Wenzhong, additional, Kang, Xiaonan, additional, Chen, Na, additional, Liu, Shupeng, additional, Pan, Jiahua, additional, and Xue, Wei, additional

Published
2020
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44. Neoadjuvant chemohormonal therapy combined with radical prostatectomy and extended PLND for very high risk locally advanced prostate cancer: A retrospective comparative study

Author

Pan, Jiahua, primary, Chi, Chenfei, additional, Qian, Hongyang, additional, Zhu, Yinjie, additional, Shao, Xiaoguang, additional, Sha, Jianjun, additional, Xu, Fan, additional, Wang, Yanqing, additional, Karnes, Robert J., additional, Dong, Baijun, additional, and Xue, Wei, additional

Published
2019
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45. Establishment of Trophoblast‐Like Tissue Model from Human Pluripotent Stem Cells in Three‐Dimensional Culture System.

Author

Cui, Kangli, Zhu, Yujuan, Shi, Yang, Chen, Tingwei, Wang, Hui, Guo, Yaqiong, Deng, Pengwei, Liu, Haitao, Shao, Xiaoguang, and Qin, Jianhua

Subjects
STEM cell culture, HUMAN stem cells, PLURIPOTENT stem cells, DEVELOPMENTAL biology, MICROVILLI, TISSUES
Abstract

The placenta has a lifelong impact on the health of both the mother and fetus. Despite its significance, human early placental development is poorly understood due to the limited models. The models that can reflect the key features of early human placental development, especially at early gestation, are still lacking. Here, the authors report the generation of trophoblast‐like tissue model from human pluripotent stem cells (hPSCs) in three‐dimensional (3D) cultures. hPSCs efficiently self‐organize into blastocoel‐like cavities under defined conditions, which produce different trophoblast subtypes, including cytotrophoblasts (CTBs), syncytiotrophoblasts (STBs), and invasive extravillous trophoblasts (EVTs). The 3D cultures can exhibit microvilli structure and secrete human placenta‐specific hormone. Single‐cell RNA sequencing analysis further identifies the presence of major cell types of trophoblast‐like tissue as existing in vivo. The results reveal the feasibility to establish 3D trophoblast‐like tissue model from hPSCs in vitro, which is not obtained by monolayer culture. This new model system can not only facilitate to dissect the underlying mechanisms of early human placental development, but also imply its potential for study in developmental biology and gestational disorders. [ABSTRACT FROM AUTHOR]

Published
2022
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46. Surface-enhanced Raman spectroscopy before radical prostatectomy predicts biochemical recurrence better than CAPRA-S

Author

Pan,Jiahua, Shao,Xiaoguang, Zhu,Yinjie, Dong,Baijun, Wang,Yanqing, Kang,Xiaonan, Chen,Na, Chen,Zhenyi, Liu,Shupeng, Xue,Wei, Pan,Jiahua, Shao,Xiaoguang, Zhu,Yinjie, Dong,Baijun, Wang,Yanqing, Kang,Xiaonan, Chen,Na, Chen,Zhenyi, Liu,Shupeng, and Xue,Wei

Abstract

Jiahua Pan,1,* Xiaoguang Shao,1,* Yinjie Zhu,1,* Baijun Dong,1 Yanqing Wang,1 Xiaonan Kang,2 Na Chen,3 Zhenyi Chen,3 Shupeng Liu,3 Wei Xue1 1Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, People’s Republic of China; 2Department of Biobank, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, People’s Republic of China; 3Shanghai Institute for Advanced Communication and Data Science, Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, People’s Republic of China *These authors contributed equally to this work Objective: The objective of this study was to evaluate the performance of surface-enhanced Raman spectroscopy (SERS) in the prediction of early biochemical recurrence after radical prostatectomy (RP).Patients and methods: We synthesized monodisperse gold nanoparticles as SERS-enhanced substrates and analyzed preoperative plasma samples of patients who underwent RP. The roles of clinical risk model (Cancer of the Prostate Risk Assessment [CAPRA] score) and distinctive SERS spectra on prediction of early biochemical recurrence were evaluated. The principal component analysis and linear discriminant analysis (PCA-LDA) were used to manage the spectral data and develop diagnostic algorithm.Results: A total of 306 preoperative plasma Raman spectra from 102 patients were collected. SERS spectrum from those who developed early biochemical recurrence were compared to those who remained biochemical recurrence-free. The SERS detected more abundant circulating free nucleic acid bases in biochemical recurrence population, presenting significant stronger intensities at SERS spectral bands 725 and 1,328 cm-1. The addition of Raman spectral peak 1,328 cm-1 to CAPRA postsurgical (CAPRA-S) score significantly improved the predictive power of logistic regressio

Published
2019

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