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51. Adversarial Speaker Verification

Author

Meng, Zhong, Zhao, Yong, Li, Jinyu, and Gong, Yifan

Subjects
Computer Science - Sound, Computer Science - Computation and Language, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Audio and Speech Processing, Statistics - Machine Learning
Abstract

The use of deep networks to extract embeddings for speaker recognition has proven successfully. However, such embeddings are susceptible to performance degradation due to the mismatches among the training, enrollment, and test conditions. In this work, we propose an adversarial speaker verification (ASV) scheme to learn the condition-invariant deep embedding via adversarial multi-task training. In ASV, a speaker classification network and a condition identification network are jointly optimized to minimize the speaker classification loss and simultaneously mini-maximize the condition loss. The target labels of the condition network can be categorical (environment types) and continuous (SNR values). We further propose multi-factorial ASV to simultaneously suppress multiple factors that constitute the condition variability. Evaluated on a Microsoft Cortana text-dependent speaker verification task, the ASV achieves 8.8% and 14.5% relative improvements in equal error rates (EER) for known and unknown conditions, respectively., Comment: 5 pages, 1 figure, ICASSP 2019

Published
2019
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52. Attentive Adversarial Learning for Domain-Invariant Training

Author

Meng, Zhong, Li, Jinyu, and Gong, Yifan

Subjects
Computer Science - Machine Learning, Computer Science - Computation and Language, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing, Statistics - Machine Learning
Abstract

Adversarial domain-invariant training (ADIT) proves to be effective in suppressing the effects of domain variability in acoustic modeling and has led to improved performance in automatic speech recognition (ASR). In ADIT, an auxiliary domain classifier takes in equally-weighted deep features from a deep neural network (DNN) acoustic model and is trained to improve their domain-invariance by optimizing an adversarial loss function. In this work, we propose an attentive ADIT (AADIT) in which we advance the domain classifier with an attention mechanism to automatically weight the input deep features according to their importance in domain classification. With this attentive re-weighting, AADIT can focus on the domain normalization of phonetic components that are more susceptible to domain variability and generates deep features with improved domain-invariance and senone-discriminativity over ADIT. Most importantly, the attention block serves only as an external component to the DNN acoustic model and is not involved in ASR, so AADIT can be used to improve the acoustic modeling with any DNN architectures. More generally, the same methodology can improve any adversarial learning system with an auxiliary discriminator. Evaluated on CHiME-3 dataset, the AADIT achieves 13.6% and 9.3% relative WER improvements, respectively, over a multi-conditional model and a strong ADIT baseline., Comment: 5 pages, 1 figure, ICASSP 2019

Published
2019
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53. Conditional Teacher-Student Learning

Author

Meng, Zhong, Li, Jinyu, Zhao, Yong, and Gong, Yifan

Subjects
Computer Science - Machine Learning, Computer Science - Computation and Language, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing, Statistics - Machine Learning
Abstract

The teacher-student (T/S) learning has been shown to be effective for a variety of problems such as domain adaptation and model compression. One shortcoming of the T/S learning is that a teacher model, not always perfect, sporadically produces wrong guidance in form of posterior probabilities that misleads the student model towards a suboptimal performance. To overcome this problem, we propose a conditional T/S learning scheme, in which a "smart" student model selectively chooses to learn from either the teacher model or the ground truth labels conditioned on whether the teacher can correctly predict the ground truth. Unlike a naive linear combination of the two knowledge sources, the conditional learning is exclusively engaged with the teacher model when the teacher model's prediction is correct, and otherwise backs off to the ground truth. Thus, the student model is able to learn effectively from the teacher and even potentially surpass the teacher. We examine the proposed learning scheme on two tasks: domain adaptation on CHiME-3 dataset and speaker adaptation on Microsoft short message dictation dataset. The proposed method achieves 9.8% and 12.8% relative word error rate reductions, respectively, over T/S learning for environment adaptation and speaker-independent model for speaker adaptation., Comment: 5 pages, 1 figure, ICASSP 2019

Published
2019
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54. Progression‐free survival at 3 years is a reliable surrogate for 5‐year overall survival for patients suffering from locally advanced esophageal squamous cell carcinoma

Author

Yu‐Xian Yang, Yu‐Zhen Zheng, Tian‐Tian Gao, Shi‐Liang Liu, Mian Xi, Meng‐Zhong Liu, Jun‐Ye Wang, Shu‐Nan Qi, Yong Yang, and Lei Zhao

Subjects
esophageal squamous cell carcinoma, overall survival, progression‐free survival at 3 years, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background Despite 3‐year survival being used as a primary endpoint in some randomized controlled trials (RCTs), limited evidence supports the use of intermediate endpoints to evaluate the effect of new therapies in esophageal squamous cell cancer (ESCC). This study aimed to systematically evaluate progression‐free survival at 3 years (3‐year PFS) and overall survival (OS) among patients with ESCC. Methods We identified 528 patients newly diagnosed with locally advanced ESCC who received definitive radiotherapy. OS was compared with an age‐ and sex‐matched general Chinese population using the standardized mortality ratio (SMR). Regression analysis was used to validate the correlation between PFS and OS using published data. Results The annual risk of progression decreased to 11.5% after 3 years. Patients who did not achieve 3‐year PFS had a median postprogression survival (PPS) of 7.3 months, with a 5‐year OS rate of 9.6% and a SMR of 15.0 (95% confidence interval [CI], 12.9–17.5). Conversely, the SMR for patients who achieved 3‐year PFS was 0.9 (95% CI, 0.6–1.3). We observed a significant correlation between log hazard ratio (HR) (PFS) and log HR (OS) at the trial level (r = 0.89; 95% CI, 0.88–0.90). The strongest correlation was observed between 3‐year PFS and 5‐year OS in RCTs and retrospective studies. Conclusions Patients exhibiting progression within 3 years experienced poor survival, whereas patients achieving 3‐year PFS had excellent outcomes. Our study supports 3‐year PFS as a reliable primary endpoint for study design and risk stratification in locally advanced ESCC.

Published
2022
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55. Comparative efficacy and safety of immunotherapy for patients with advanced or metastatic esophageal squamous cell carcinoma: a systematic review and network Meta-analysis

Author

Tian-Tian Gao, Jia-Hui Shan, Yu-Xian Yang, Ze-Wei Zhang, Shi-Liang Liu, Mian Xi, Meng-Zhong Liu, and Lei Zhao

Subjects
Esophageal squamous cell carcinoma, Advanced or metastatic, Immunotherapy, Network meta-analysis, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background The study aimed to compare efficacy and safety of various immune checkpoint inhibitors for patients with advanced or metastatic esophageal squamous cell carcinoma (ESCC). Methods We searched Medline, Web of Science, Cochrane Central Register of Controlled Trials, Embase, Clinical Trials.gov and several international conference databases from January 1, 2000 to December 19, 2021. We conducted Bayesian network meta-analysis to assess the relative effects among treatments. Outcomes included overall survival (OS), progression-free survival (PFS), overall response rate and adverse events. Results Ten eligible trials with 5250 patients were included. Toripalimab and Camrelizumab plus chemotherapy were preferred to rank first on OS (probability, 61%) and PFS (probability, 37%) in the first-line setting, respectively. In refractory patients, Sintilimab and Camrlizumab were most likely to be ranked first on OS (probability, 37%) and PFS (probability, 94%). The toxicity related to immunotherapy was manageable in clinical trials. Camrelizumab and Nivolumab had the less adverse events of grade 3 or higher in the first and refractory setting, respectively. Conclusions This study found that Toripalimab and Camrelizumab plus chemotherapy were likely to be the best option in terms of OS and PFS in the first-line setting for patients with advanced or metastatic ESCC respectively. Sintilimab and Camrelizumab were the preferred options for OS and PFS in refractory patients respectively. The toxicity of immunotherapy was different from conventional chemotherapy, but manageable in patients with ESCC. Trial registration PROSPERO registration number: (CRD 42021261554).

Published
2022
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56. Adversarial Feature-Mapping for Speech Enhancement

Author

Meng, Zhong, Li, Jinyu, Gong, Yifan, Biing-Hwang, and Juang

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Computer Science - Sound
Abstract

Feature-mapping with deep neural networks is commonly used for single-channel speech enhancement, in which a feature-mapping network directly transforms the noisy features to the corresponding enhanced ones and is trained to minimize the mean square errors between the enhanced and clean features. In this paper, we propose an adversarial feature-mapping (AFM) method for speech enhancement which advances the feature-mapping approach with adversarial learning. An additional discriminator network is introduced to distinguish the enhanced features from the real clean ones. The two networks are jointly optimized to minimize the feature-mapping loss and simultaneously mini-maximize the discrimination loss. The distribution of the enhanced features is further pushed towards that of the clean features through this adversarial multi-task training. To achieve better performance on ASR task, senone-aware (SA) AFM is further proposed in which an acoustic model network is jointly trained with the feature-mapping and discriminator networks to optimize the senone classification loss in addition to the AFM losses. Evaluated on the CHiME-3 dataset, the proposed AFM achieves 16.95% and 5.27% relative word error rate (WER) improvements over the real noisy data and the feature-mapping baseline respectively and the SA-AFM achieves 9.85% relative WER improvement over the multi-conditional acoustic model., Comment: 5 pages, 2 figures, Interspeech 2018

Published
2018
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57. Cycle-Consistent Speech Enhancement

Author

Meng, Zhong, Li, Jinyu, Gong, Yifan, Biing-Hwang, and Juang

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Computation and Language, Computer Science - Sound
Abstract

Feature mapping using deep neural networks is an effective approach for single-channel speech enhancement. Noisy features are transformed to the enhanced ones through a mapping network and the mean square errors between the enhanced and clean features are minimized. In this paper, we propose a cycle-consistent speech enhancement (CSE) in which an additional inverse mapping network is introduced to reconstruct the noisy features from the enhanced ones. A cycle-consistent constraint is enforced to minimize the reconstruction loss. Similarly, a backward cycle of mappings is performed in the opposite direction with the same networks and losses. With cycle-consistency, the speech structure is well preserved in the enhanced features while noise is effectively reduced such that the feature-mapping network generalizes better to unseen data. In cases where only unparalleled noisy and clean data is available for training, two discriminator networks are used to distinguish the enhanced and noised features from the clean and noisy ones. The discrimination losses are jointly optimized with reconstruction losses through adversarial multi-task learning. Evaluated on the CHiME-3 dataset, the proposed CSE achieves 19.60% and 6.69% relative word error rate improvements respectively when using or without using parallel clean and noisy speech data., Comment: 5 pages, 2 figures. Interspeech 2018. arXiv admin note: text overlap with arXiv:1809.02251

Published
2018
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58. Speaker-Invariant Training via Adversarial Learning

Author

Meng, Zhong, Li, Jinyu, Chen, Zhuo, Zhao, Yong, Mazalov, Vadim, Gong, Yifan, Biing-Hwang, and Juang

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Computer Science - Sound
Abstract

We propose a novel adversarial multi-task learning scheme, aiming at actively curtailing the inter-talker feature variability while maximizing its senone discriminability so as to enhance the performance of a deep neural network (DNN) based ASR system. We call the scheme speaker-invariant training (SIT). In SIT, a DNN acoustic model and a speaker classifier network are jointly optimized to minimize the senone (tied triphone state) classification loss, and simultaneously mini-maximize the speaker classification loss. A speaker-invariant and senone-discriminative deep feature is learned through this adversarial multi-task learning. With SIT, a canonical DNN acoustic model with significantly reduced variance in its output probabilities is learned with no explicit speaker-independent (SI) transformations or speaker-specific representations used in training or testing. Evaluated on the CHiME-3 dataset, the SIT achieves 4.99% relative word error rate (WER) improvement over the conventional SI acoustic model. With additional unsupervised speaker adaptation, the speaker-adapted (SA) SIT model achieves 4.86% relative WER gain over the SA SI acoustic model., Comment: 5 pages, 3 figures, ICASSP 2018

Published
2018
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59. Adversarial Teacher-Student Learning for Unsupervised Domain Adaptation

Author

Meng, Zhong, Li, Jinyu, Gong, Yifan, Biing-Hwang, and Juang

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Computation and Language, Computer Science - Machine Learning, Computer Science - Sound
Abstract

The teacher-student (T/S) learning has been shown effective in unsupervised domain adaptation [1]. It is a form of transfer learning, not in terms of the transfer of recognition decisions, but the knowledge of posteriori probabilities in the source domain as evaluated by the teacher model. It learns to handle the speaker and environment variability inherent in and restricted to the speech signal in the target domain without proactively addressing the robustness to other likely conditions. Performance degradation may thus ensue. In this work, we advance T/S learning by proposing adversarial T/S learning to explicitly achieve condition-robust unsupervised domain adaptation. In this method, a student acoustic model and a condition classifier are jointly optimized to minimize the Kullback-Leibler divergence between the output distributions of the teacher and student models, and simultaneously, to min-maximize the condition classification loss. A condition-invariant deep feature is learned in the adapted student model through this procedure. We further propose multi-factorial adversarial T/S learning which suppresses condition variabilities caused by multiple factors simultaneously. Evaluated with the noisy CHiME-3 test set, the proposed methods achieve relative word error rate improvements of 44.60% and 5.38%, respectively, over a clean source model and a strong T/S learning baseline model., Comment: 5 pages, 1 figure, ICASSP 2018

Published
2018
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61. Application and research progress of Eucommia ulmoides gum in rubber field

Author

WU Yi-tong; CUI Meng-zhong

Subjects
eucommia ulmoides gum, natural rubber, modification, application, review, Organic chemistry, QD241-441, Chemical engineering, TP155-156, Chemicals: Manufacture, use, etc., TP200-248
Abstract

The compatibility of Eucommia ulmoides gum (EUG) with other synthetic rubbers, the discovery of bio-metabolic synthesis of EUG, and the new research methods for crystallization of EUG were summarized with 59 references. In this review, the chemical modification methods and application in the fields of the tire, functional film materials, shape-memory materials of EUG were discussed in detail. And its development trends were also prospected.

Published
2022
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62. Unsupervised Adaptation with Domain Separation Networks for Robust Speech Recognition

Author

Meng, Zhong, Chen, Zhuo, Mazalov, Vadim, Li, Jinyu, and Gong, Yifan

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

Unsupervised domain adaptation of speech signal aims at adapting a well-trained source-domain acoustic model to the unlabeled data from target domain. This can be achieved by adversarial training of deep neural network (DNN) acoustic models to learn an intermediate deep representation that is both senone-discriminative and domain-invariant. Specifically, the DNN is trained to jointly optimize the primary task of senone classification and the secondary task of domain classification with adversarial objective functions. In this work, instead of only focusing on learning a domain-invariant feature (i.e. the shared component between domains), we also characterize the difference between the source and target domain distributions by explicitly modeling the private component of each domain through a private component extractor DNN. The private component is trained to be orthogonal with the shared component and thus implicitly increases the degree of domain-invariance of the shared component. A reconstructor DNN is used to reconstruct the original speech feature from the private and shared components as a regularization. This domain separation framework is applied to the unsupervised environment adaptation task and achieved 11.08% relative WER reduction from the gradient reversal layer training, a representative adversarial training method, for automatic speech recognition on CHiME-3 dataset., Comment: 8 pages, 1 figure, ASRU 2017

Published
2017
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63. Deep Long Short-Term Memory Adaptive Beamforming Networks For Multichannel Robust Speech Recognition

Author

Meng, Zhong, Watanabe, Shinji, Hershey, John R., and Erdogan, Hakan

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Computation and Language, Computer Science - Sound
Abstract

Far-field speech recognition in noisy and reverberant conditions remains a challenging problem despite recent deep learning breakthroughs. This problem is commonly addressed by acquiring a speech signal from multiple microphones and performing beamforming over them. In this paper, we propose to use a recurrent neural network with long short-term memory (LSTM) architecture to adaptively estimate real-time beamforming filter coefficients to cope with non-stationary environmental noise and dynamic nature of source and microphones positions which results in a set of timevarying room impulse responses. The LSTM adaptive beamformer is jointly trained with a deep LSTM acoustic model to predict senone labels. Further, we use hidden units in the deep LSTM acoustic model to assist in predicting the beamforming filter coefficients. The proposed system achieves 7.97% absolute gain over baseline systems with no beamforming on CHiME-3 real evaluation set., Comment: in 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Published
2017
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64. Characterization of acute-on-chronic liver diseases: A multicenter prospective cohort study

Author

Zhang, Yuan-Yao, primary, Luo, Sen, additional, Li, Hai, additional, Sun, Shu-Ning, additional, Wang, Xian-Bo, additional, Zheng, Xin, additional, Huang, Yan, additional, Li, Bei-Ling, additional, Gao, Yan-Hang, additional, Qian, Zhi-Ping, additional, Liu, Feng, additional, Lu, Xiao-Bo, additional, Liu, Jun-Ping, additional, Ren, Hao-Tang, additional, Zheng, Yu-Bao, additional, Yan, Hua-Dong, additional, Deng, Guo-Hong, additional, Qiao, Liang, additional, Zhang, Yan, additional, Gu, Wen-Yi, additional, Xiang, Xiao-Mei, additional, Zhou, Yi, additional, Hou, Yi-Xin, additional, Zhang, Qun, additional, Xiong, Yan, additional, Zou, Cong-Cong, additional, Chen, Jun, additional, Huang, Ze-Bing, additional, Jiang, Xiu-Hua, additional, Qi, Ting-Ting, additional, Chen, Yuan-Yuan, additional, Gao, Na, additional, Liu, Chun-Yan, additional, Yuan, Wei, additional, Mei, Xue, additional, Li, Jing, additional, Li, Tao, additional, Zheng, Rong-Jiong, additional, Zhou, Xin-Yi, additional, Zhao, Jun, additional, and Meng, Zhong-Ji, additional

Published
2024
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69. sTREM-1 as promising prognostic biomarker for acute-on-chronic liver failure and mortality in patients with acute decompensation of cirrhosis

Author

Yu, Song-Man, primary, Li, Hai, additional, Deng, Guo-Hong, additional, Wang, Xian-Bo, additional, Zheng, Xin, additional, Chen, Jin-Jun, additional, Meng, Zhong-Ji, additional, Zheng, Yu-Bao, additional, Gao, Yan-Hang, additional, Qian, Zhi-Ping, additional, Liu, Feng, additional, Lu, Xiao-Bo, additional, Shi, Yu, additional, Shang, Jia, additional, Chen, Ruo-Chan, additional, and Huang, Yan, additional

Published
2024
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71. Imageological/Structural Study regarding the Improved Pharmacokinetics by 68Ga-Labeled PEGylated PSMA Multimer in Prostate Cancer

Author

Huihui Zhang, Maohua Rao, Huayi Zhao, Jianli Ren, Lan Hao, Meng Zhong, Yue Chen, Xia Yang, Yue Feng, and Gengbiao Yuan

Subjects
PSMA, prostate cancer, PSMA dimer, molecular probe, PET imaging, Medicine, Pharmacy and materia medica, RS1-441
Abstract

PMSA (prostate-specific membrane antigen) is currently the most significant target for diagnosing and treating PCa (prostate cancer). Herein, we reported a series 68Ga/177Lu-labeled multimer PSMA tracer conjugating with PEG chain, including [68Ga]Ga-DOTA-(1P-PEG4), [68Ga]Ga-DOTA-(2P-PEG0), [68Ga]Ga-DOTA-(2P-PEG4), and [68Ga]Ga/[177Lu]Lu-DOTA-(2P-PEG4)2, which showed an advantage of a multivalent effect and PEGylation to achieve higher tumor accumulation and faster kidney clearance. To figure out how structural optimizations based on a PSMA multimer and PEGylation influence the probe’s tumor-targeting ability, biodistribution, and metabolism, we examined PSMA molecular probes’ affinities to PC-3 PIP (PSMA-highly-expressed PC-3 cell line), and conducted pharmacokinetics analysis, biodistribution detection, small animal PET/CT, and SPECT/CT imaging. The results showed that PEG4 and PSMA dimer optimizations enhanced the probes’ tumor-targeting ability in PC-3 PIP tumor-bearing mice models. Compared with the PSMA monomer, the PEGylated PSMA dimer reduced the elimination half-life in the blood and increased uptake in the tumor, and the biodistribution results were consistent with PET/CT imaging results. [68Ga]Ga-DOTA-(2P-PEG4)2 exhibited higher tumor-to-organ ratios. When labeled by lutetium-177, relatively high accumulation of DOTA-(2P-PEG4)2 was still detected in PC-3 PIP tumor-bearing mice models after 48 h, indicating its prolonged tumor retention time. Given the superiority in imaging, simple synthetic processes, and structural stability, DOTA-(2P-PEG4)2 is expected to be a promising tumor-targeting diagnostic molecular probe in future clinical practice.

Published
2023
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73. Prevalence and Clinical Significance of Portal Vein Thrombosis in Patients With Cirrhosis and Acute Decompensation

Author

Zhang, Yan, Xu, Bao-yan, Wang, Xian-bo, Zheng, Xin, Huang, Yan, Chen, Jinjun, Meng, Zhong-ji, Gao, Yan-hang, Qian, Zhi-ping, Liu, Feng, Lu, Xiao-bo, Shi, Yu, Shang, Jia, Li, Hai, Wang, Shao-yang, Yin, Shan, Sun, Shu-ning, Hou, Yi-Xin, Xiong, Yan, Chen, Jun, Li, Bei-ling, Lei, Qing, Gao, Na, Ji, Liu-juan, Li, Jing, Jie, Fang-rong, Zhao, Rui-hong, Liu, Jun-ping, Lin, Tao-fa, Chen, Liu-ying, Tan, Wen-ting, Zhang, Qun, Zou, Cong-cong, Huang, Ze-bing, Jiang, Xiu-hua, Luo, Sen, Liu, Chun-yan, Zhang, Yu-yi, Li, Tao, Ren, Hao-tang, Wang, Shi-jin, Deng, Guo-hong, Xiong, Shu-e, Liu, Xiao-xiao, Wang, Chen, Yuan, Wei, Gu, Wen-yi, Qiao, Liang, Wang, Tong-yu, Wu, Dan-dan, Dong, Fu-chen, and Hua, Jing

Published
2020
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78. Stereotactic Body Radiotherapy vs. Radiofrequency Ablation in the Treatment of Hepatocellular Carcinoma: A Meta-Analysis

Author

Yang-Xun Pan, Yi-Zhen Fu, Dan-Dan Hu, Qian Long, Jun-Cheng Wang, Mian Xi, Shi-Liang Liu, Li Xu, Meng-Zhong Liu, Min-Shan Chen, and Yao-Jun Zhang

Subjects
minimally invasive treatment, meta-analysis, hepatocellular carcinoma, stereotactic body radiotherapy, radiofrequency ablation, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Background: Both stereotactic body radiotherapy (SBRT) and radiofrequency ablation (RFA) are effective local treatments for hepatocellular carcinoma (HCC), but whether RFA is superior to SBRT is still controversial. Therefore, we performed a meta-analysis to compare the treatment outcomes of SBRT with RFA as curable or bridge intention.Methods: We searched online databases for studies that compared treatment outcomes for SBRT and RFA. Eligibility criteria included evaluation of local control, overall survival (OS), transplant rate, and post-transplant pathological necrosis.Results: As no randomized clinical trials met the criteria, 10 retrospective studies with a total of 2,732 patients were included. Two studies were in favor of SBRT in local control, two studies preferred RFA in OS, and others reported comparable outcomes for both. SBRT demonstrated significantly higher 1- and 3-year local control than RFA [odds ratio (OR) 0.42, 95% CI 0.24–0.74, P = 0.003; and OR 0.54, 95% CI 0.37–0.80, P = 0.002, respectively]. However, SBRT reported significantly shorter 1- and 2-year OS (OR 1.52, 95% CI 1.21–1.90, P = 0.0003; and OR 1.66, 95% CI 1.38–2.01, P < 0.00001, respectively). As bridge treatment, no significant difference was shown in transplant rate and post-transplant pathological necrosis rate (OR 0.57, 95% CI 0.32–1.03, P = 0.060; and OR 0.49, 95% CI 0.13–1.82, P = 0.290, respectively).Conclusions: This study demonstrates SBRT is able to complete a better local control for HCC than RFA, though the OS is inferior to RFA because of tumor burden or liver profiles of the enrolled studies. Well-designed, randomized, multicenter trials will be required to further investigate the conclusion.

Published
2020
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79. Plasma Epstein-Barr Virus-Deoxyribonucleic Acid Copy Number Predicts Disease Progression in Stage I–III Pulmonary Lymphoepithelioma-Like Carcinoma

Author

Qi-Wen Li, Bo Qiu, Wan-Ming Hu, Su-Ping Guo, Ying-Jia Wu, Yu-Jia Zhu, Nan Hu, Xin-Lei Ai, Nai-Bin Chen, Jin-Yu Guo, Yong-Hong Hu, Meng-Zhong Liu, Mu-Sheng Zeng, and Hui Liu

Subjects
pulmonary lymphoepithelioma-like carcinoma, Epstein-Barr virus, biomarker, tumor progression, monitoring, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Purpose: To investigate the predictive values of plasma Epstein-Barr Virus (EBV)- deoxyribonucleic acid (DNA) copy number on disease progression and survival in stage I-III pulmonary lymphoepithelioma-like carcinoma (LELC).Patients and Methods: Patients with pathologically confirmed, initially diagnosed or locally recurrent stage I-III pulmonary LELC, who received locally radical treatment and had plasma EBV-DNA results, were retrospectively reviewed. Risk factors of progression-free survival (PFS) and overall survival (OS) were assessed, including the predictive value of pre- and post-treatment EBV-DNA levels. The EBV-DNA change during follow-up was analyzed to determine its association with tumor progression and survival.Results: A total of 102 patients were included in analysis. Eighty-eight patients had initially-diagnosed and 14 had locally recurrent disease. There were 33 patients treated with radical surgery, 55 with definite radiotherapy and 14 with both. EBV-DNA was tested pre-treatment (N = 66), post-treatment (N = 93) and/or during follow-up (N = 58). Forty-one patients had complete EBV-DNA results of all three time points. The overall 2-year PFS and OS were 66.3 and 96.0%, respectively. Pre-treatment EBV-DNA copy number > 10,000 copies/mL was a risk factor of PFS (2-year PFS, > 10,000 vs. ≤ 10,000 copies/mL, 37.2 vs. 75.1%, p = 0.007). Positive post-treatment EBV-DNA also indicated a worse PFS in univariable (2-year PFS, > 0 vs. 0 copy/mL, 25.6 vs. 76.8%, p < 0.001) and multivariable analysis (HR = 3.44, 95% CI, 1.52–7.78; p = 0.003). In the follow-up set, an increasing EBV-DNA exceeding 1,000 copies/mL strongly predicted disease progression within 3 months, with a specificity of 97.5% (95% CI: 86.8–99.6%) and was associated with impaired OS (2-year OS, > 1,000 vs. ≤ 1,000 copies/mL, 72.9 vs. 100%, p < 0.001).Conclusions: Regular testing of EBV-DNA is suggested for pulmonary LELC to predict disease progression. If EBV-DNA copy number was increasing and beyond 1,000 copies/mL during follow-up, intensive radiologic evaluations are recommended.

Published
2020
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80. Retinal morphology and expression of Bcl-2, Bax and VEGF in early diabetic rats

Author

Li-Jun Song, Yi Wang, Di Chen, Fu-Jun Gao, Hao Ding, Yu-Ming Li, and Meng Zhong

Subjects
streptozotocin, vascular endothelial growth factor, neovascularization, retina, diabetic rats, Ophthalmology, RE1-994
Abstract

AIM: To investigate the expression and significance of B-cell lymphoma factor(Bcl-2), Bcl2-Associated X protein(BAX)and vascular endothelial growth factor(VEGF)in the retina of early diabetic rats. METHODS: An early diabetic retinopathy model was made in rat by intraperitoneal injection of streptozotocin(60mg/kg). The model rats were sacrificed at 4,8,12wk after the establishment of the model, and the eyeballs were removed to make paraffin section and retina sheets were prepared. HE staining was used to detected the retinal morphology and vascularity. Immunohistochemistry(IHC)was employed to examine the expression of Bcl-2, Bax and VEGF in the retina. ADP enzyme staining were conducted to evaluate the retinal vascular morphologic change. Nikon-A1 laser confocal microscopy was used to detect the morphology, fluorescence intensity and distribution of Ca2+ in retinal cells. RESULTS: In the diabetic group, the number of endothelial cells in the inner limiting membrane increased 12wk later. In diabetes mellitus group, there was no vascular area in the middle and peripheral retina, and no vascular area was significantly more than that in the blank control group(PPPCONCLUSION: The expressions of Bcl-2 and Bax were significantly increased, which upgraded the expression of VEGF in the retinas of early diabetic rats. Bcl-2, Bax and VEGF might play an important role in the neovascularization of the retinas in early diabetic rats.

Published
2018
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84. Metabolic biomarkers significantly enhance the prediction of HBV-related acute-on-chronic liver failure prognosis

Author

Zhang, Yan, primary, Deng, Guohong, additional, Wang, Xian-bo, additional, Zheng, Xin, additional, Huang, Yan, additional, Chen, Jinjun, additional, Meng, Zhong-ji, additional, Gao, Yanhang, additional, Qian, Zhiping, additional, Liu, Feng, additional, Lu, Xiao-bo, additional, Shi, Yu, additional, Shang, Jia, additional, Huadong, Yan, additional, Yubao, Zheng, additional, Zhang, Weituo, additional, Guo, Lining, additional, and Li, Hai, additional

Published
2023
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85. Adjuvant chemotherapy in patients with locoregionally advanced nasopharyngeal carcinoma: Long-term results of a phase 3 multicentre randomised controlled trial

Author

Chen, Lei, Hu, Chao-Su, Chen, Xiao-Zhong, Hu, Guo-Qing, Cheng, Zhi-Bin, Sun, Yan, Li, Wei-Xiong, Chen, Yuan-Yuan, Xie, Fang-Yun, Liang, Shao-Bo, Chen, Yong, Xu, Ting-Ting, Li, Bin, Long, Guo-Xian, Wang, Si-Yang, Zheng, Bao-Min, Guo, Ying, Sun, Ying, Mao, Yan-Ping, Tang, Ling-Long, Chen, Yu-Ming, Liu, Meng-Zhong, and Ma, Jun

Published
2017
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88. Concurrent chemoradiotherapy combined with enteral nutrition support: a radical treatment strategy for esophageal squamous cell carcinoma patients with malignant fistulae

Author

Li Ma, Guang-Yu Luo, Yu-Feng Ren, Bo Qiu, Hong Yang, Chun-Xia Xie, Song-Ran Liu, Shi-Liang Liu, Zhao-Lin Chen, Qun Li, Jian-Hua Fu, Meng-Zhong Liu, Yong-Hong Hu, Wen-Feng Ye, and Hui Liu

Subjects
Esophageal squamous cell carcinoma, Malignant fistula, Radiotherapy, Concurrent chemotherapy, Enteral nutrition support, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background Concurrent chemoradiotherapy (CCRT) significantly increases the survival rate of esophageal squamous cell carcinoma (ESCC) patients with malignant fistulae. Recent clinical evidence has shown the benefits of enteral nutrition for malnourished cancer patients. In this study, we aimed to validate that, with the support of enteral nutrition, ESCC patients who develop malignant fistulae might be able to complete CCRT and achieve long-term survival. Methods We reviewed the medical records of 652 patients with ESCC who received definitive CCRT at Sun Yat-sen University Cancer Center between January 2010 and December 2012. Treatment outcome and toxicity were retrospectively evaluated in 40 ESCC patients with malignant fistulae. All the 40 patients were treated with CCRT and evaluated by clinical nutritionists using nutrition risk screening (NRS) before, during, and after treatment. Twenty-two patients received a nasogastric tube, and 18 underwent percutaneous endoscopic gastrostomy feeding. The median energy intake was 2166 kcal/day. Treatment response was evaluated at 3 months after the completion of CCRT. Results With a median follow-up of 18 months (range, 3–39 months), patients’ 1-year overall survival (OS) rate was 62.5%, and the estimated OS time was 25.5 months. Univariate analysis showed that the NRS score (P = 0.003), increase in NRS score (P = 0.024), fistula closure (P = 0.011), and response to treatment (P

Published
2017
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89. Multistakeholder Benefits: A Meta-Analysis of Different Theories

Author

Victor Zitian Chen, Meng Zhong, Patricio Duran, and Steve Sauerwald

Subjects
Business, Management and Accounting (miscellaneous), Social Sciences (miscellaneous)
Abstract

We predict multistakeholder benefits as a measure of organizational performance from the perspective of important organizational stakeholders. Specifically, we identify the relative importance of theoretical antecedents that affect the different dimensions of stakeholder benefits. Offering the first empirical synthesis of multistakeholder benefits to date, we assess the statistical explanatory power of different theories in the literature, focusing on the extent to which their suggested antecedents of organizational performance may lead to improvements in multiple dimensions of stakeholder benefits. Based on 110 empirical studies since 1990 to date concerning any two of four stakeholder groups (investors, customers, employees, and community /environment), we find no evidence for any single theory to have sufficient explanatory power in predicting benefits concerning all four stakeholder groups. Thus, we cannot reduce different mechanisms leading to multistakeholder benefits to a grand model or theory but need to resort to a multi-theoretical synthesis. Taking stock of the meta-analysis, we suggest future studies should fill three gaps: multiple dimensions within a stakeholder benefit, causal complexity, and inequality of stakeholder benefit creation.

Published
2022

91. Induction chemotherapy plus concurrent chemoradiotherapy versus concurrent chemoradiotherapy alone in locoregionally advanced nasopharyngeal carcinoma: a phase 3, multicentre, randomised controlled trial

Author

Sun, Ying, Li, Wen-Fei, Chen, Nian-Yong, Zhang, Ning, Hu, Guo-Qing, Xie, Fang-Yun, Sun, Yan, Chen, Xiao-Zhong, Li, Jin-Gao, Zhu, Xiao-Dong, Hu, Chao-Su, Xu, Xiang-Ying, Chen, Yuan-Yuan, Hu, Wei-Han, Guo, Ling, Mo, Hao-Yuan, Chen, Lei, Mao, Yan-Ping, Sun, Rui, Ai, Ping, Liang, Shao-Bo, Long, Guo-Xian, Zheng, Bao-Min, Feng, Xing-Lai, Gong, Xiao-Chang, Li, Ling, Shen, Chun-Ying, Xu, Jian-Yu, Guo, Ying, Chen, Yu-Ming, Zhang, Fan, Lin, Li, Tang, Ling-Long, Liu, Meng-Zhong, and Ma, Jun

Published
2016
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92. Evaluation of Bus Lane Layouts Based on a Bi-Level Programming Model—Using Part of the Qingshan Lake District of Nanchang City, China, as an Example

Author

Sun, Yunqiang Xue, Lin Cheng, Meng Zhong, and Xiaokang

Subjects
bus lane, bi-level programming model, minimum travel time, road resistance function
Abstract

Bus lanes have gradually become an indispensable infrastructure for the development of urban public transportation networks. A bi-level programming model is used herein to compare the total travel time of social vehicles and buses before and after the bus lane is set up to judge whether the bus lane layout plan is scientific and reasonable considering the road network. The model’s effectiveness is verified using areas of Qingshan Lake in Nanchang City, and the operational efficiency of one bus lane before and after establishing the dedicated bus lane is analyzed. The case results show that the bus lane layout evaluation needs to consider the traffic benefits of a specific road and also judge whether the total travel time of the network traffic volume is improved from the macroscopic road network level. The research results provide theoretical support for the rational layout of bus lanes and are of practical significance for prioritizing the development of public transportation and promoting the sustainable development of urban transportation.

Published
2023
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93. Data from miR-200 Expression Regulates Epithelial-to-Mesenchymal Transition in Bladder Cancer Cells and Reverses Resistance to Epidermal Growth Factor Receptor Therapy

Author

Colin Dinney, Menashe Bar-Eli, David McConkey, Arlene Siefker-Radtke, Hua Wang, George Calin, Ameeta Arora, Milena Nicoloso, Wei Qi, Woonyoung Choi, Meng Zhong, and Liana Adam

Abstract

Purpose: The epithelial-to-mesenchymal transition (EMT) is a cell development-regulated process in which noncoding RNAs act as crucial modulators. Recent studies have implied that EMT may contribute to resistance to epidermal growth factor receptor (EGFR)–directed therapy. The aims of this study were to determine the potential role of microRNAs (miRNA) in controlling EMT and the role of EMT in inducing the sensitivity of human bladder cancer cells to the inhibitory effects of the anti-EGFR therapy.Experimental Design: miRNA array screening and real-time reverse transcription-PCR were used to identify and validate the differential expression of miRNAs involved in EMT in nine bladder cancer cell lines. A list of potential miR-200 direct targets was identified through the TargetScan database. The precursor of miR-200b and miR-200c was expressed in UMUC3 and T24 cells using a retrovirus or a lentivirus construct, respectively. Protein expression and signaling pathway modulation, as well as intracellular distribution of EGFR and ERRFI-1, were validated through Western blot analysis and confocal microscopy, whereas ERRFI-1 direct target of miR-200 members was validated by using the wild-type and mutant 3′-untranslated region/ERRFI-1/luciferse reporters.Results: We identified a tight association between the expression of miRNAs of the miR-200 family, epithelial phenotype, and sensitivity to EGFR inhibitors–induced growth inhibition in bladder carcinoma cell lines. Stable expression of miR-200 in mesenchymal UMUC3 cells increased E-cadherin levels, decreased expression of ZEB1, ZEB2, ERRFI-1, and cell migration, and increased sensitivity to EGFR-blocking agents. The changes in EGFR sensitivity by silencing or forced expression of ERRFI-1 or by miR-200 expression have also been validated in additional cell lines, UMUC5 and T24. Finally, luciferase assays using 3′-untranslated region/ERRFI-1/luciferase and miR-200 cotransfections showed that the direct down-regulation of ERRFI-1 was miR-200-dependent because mutations in the two putative miR-200-binding sites have rescued the inhibitory effect.Conclusions: Members of the miR-200 family appear to control the EMT process and sensitivity to EGFR therapy in bladder cancer cells and the expression of miR-200 is sufficient to restore EGFR dependency at least in some of the mesenchymal bladder cancer cells. The targets of miR-200 include ERRFI-1, which is a novel regulator of EGFR-independent growth. (Clin Cancer Res 2009;15(16):5060–72)

Published
2023

94. Conflict of Interest Form 1 from miR-200 Expression Regulates Epithelial-to-Mesenchymal Transition in Bladder Cancer Cells and Reverses Resistance to Epidermal Growth Factor Receptor Therapy

Author

Colin Dinney, Menashe Bar-Eli, David McConkey, Arlene Siefker-Radtke, Hua Wang, George Calin, Ameeta Arora, Milena Nicoloso, Wei Qi, Woonyoung Choi, Meng Zhong, and Liana Adam

Abstract

Conflict of Interest Form 1 from miR-200 Expression Regulates Epithelial-to-Mesenchymal Transition in Bladder Cancer Cells and Reverses Resistance to Epidermal Growth Factor Receptor Therapy

Published
2023

95. Supplementary Methods, Figures 1-5 from Effective Photothermal Chemotherapy Using Doxorubicin-Loaded Gold Nanospheres That Target EphB4 Receptors in Tumors

Author

Chun Li, Anil K. Sood, Alpa M. Nick, Sanjay Gupta, Maritess Melancon, Meng Zhong, Chiyi Xiong, Rui Zhang, and Jian You

Abstract

PDF file - 835K, 1. Reagents 2. Synthesis of cyclic peptide c(TNYL-RAW) (Lys-Thr-Asn-Tyr-Leu-Phe-Ser-Pro-Asn-Gly-Pro-ILe-Ala-Arg-Ala-Trp-Asp) 3. Radiolabeling of HAuNS with 111In 4. SPR assay of receptor binding affinity 5. Cell culture 6. Analysis of EphB4 expression fig. S1. Physical properties of HAuNS. Fig. S2. Binding affinity and plasma stability of c(TNYL-RAW). fig. S2. Western blot analysis and immunostaining of EphB4 expression. fig. S3. Cell viability as a function of equivalent DOX concentration. fig. S4. Body weight change after the initiation of various treatments.

Published
2023

96. miRNA-448 Regulates the Development of Glioblastoma (GBM) by Regulating Rho-Associated Protein Kinase 1

Author

Chang Liu, Bin Zhu, Meng Zhong, and Jinsuo Bao

Subjects
Male, Article Subject, Cell Survival, Down-Regulation, urologic and male genital diseases, General Biochemistry, Genetics and Molecular Biology, Cell Movement, Cell Line, Tumor, Humans, Neoplasm Invasiveness, Cell Proliferation, rho-Associated Kinases, Binding Sites, General Immunology and Microbiology, Brain Neoplasms, urogenital system, Applied Mathematics, Computational Biology, General Medicine, Middle Aged, female genital diseases and pregnancy complications, Up-Regulation, nervous system diseases, Gene Expression Regulation, Neoplastic, MicroRNAs, Gene Knockdown Techniques, Modeling and Simulation, Disease Progression, Female, Glioblastoma
Abstract

Background. Glioblastoma (GBM) is an aggressive adult brain tumor that poses a huge threat to people’s health. Previous studies have shown that microRNAs (miRNAs) are important regulators in the progression of GBM. However, the role of miR-448 in GBM remains largely unknown. Therefore, the regulatory mechanism of miR-448 in the development of GBM is elucidated in this study. Methods. The protein and mRNA expressions of miR-448 and ROCK1 were measured by Western blot analysis and RT-qPCR. Cell proliferation, migration, and invasion were detected by CCK-8 assay and Transwell assay. The relationship between miR-448 and ROCK1 was probed by luciferase reporter assay. Results. miR-448 expression was downregulated in GBM tissues and cells. And poor clinical outcomes of GBM patients were related to miR-448 downregulation. Functionally, overexpression of miR-448 restrained cell viability, migration, and invasion in GBM. Additionally, miR-448 reduced ROCK1 expression by binding to its 3 ′ -UTR. Moreover, knockdown of ROCK1 inhibited the progression of GBM. Furthermore, overexpression of ROCK1 abolished the antitumor effect of miR-448 in GBM. Conclusion. miR-448 restrained cell viability, invasion, and migration in GBM by inhibiting ROCK1 expression.

Published
2022

98. Modular Hybrid Autoregressive Transducer

Author

Meng, Zhong, primary, Chen, Tongzhou, additional, Prabhavalkar, Rohit, additional, Zhang, Yu, additional, Wang, Gary, additional, Audhkhasi, Kartik, additional, Emond, Jesse, additional, Strohman, Trevor, additional, Ramabhadran, Bhuvana, additional, Huang, W. Ronny, additional, Variani, Ehsan, additional, Huang, Yinghui, additional, and Moreno, Pedro J., additional

Published
2023
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100. A chitosan-optimized polyethyleneimine/polyacrylic acid multifunctional hydrogel for reducing the risk of ulcerative arterial bleeding

Author

Panxianzhi Ni, Sheng Ye, Shuting Xiong, Meng Zhong, Jing Shan, Tun Yuan, Jie Liang, Yujiang Fan, and Xingdong Zhang

Subjects
Biomedical Engineering, General Materials Science, General Chemistry, General Medicine
Abstract

Ulcerative arterial bleeding is characterized by sudden onset, rapid disease development and high mortality, which is a great challenge for clinicians to treat, specially bleeding in areas where endoscopic operation...

Published
2023

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