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149 results on '"Zeng, Qingmin"'

3. Development and validation of postoperative circulating tumor DNA combined with clinicopathological risk factors for recurrence prediction in patients with stage I-III colorectal cancer

Author

Gao, Zhaoya, Huang, Dandan, Chen, Hui, Yang, Yong, An, Ke, Ding, Changmin, Yuan, Zheping, Zhai, Zhichao, Niu, Pengfei, Gao, Qingkun, Cai, Jinping, Zeng, Qingmin, Wang, Yanzhao, Hong, Yuming, Rong, Wanshui, Huang, Wensheng, Lei, Fuming, Wang, Xiaodong, Chen, Shiqing, Zhao, Xiaochen, Bai, Yuezong, and Gu, Jin

Published
2023
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9. miRNAs in patients with alcoholic liver disease: a systematic review and meta-analysis.

Author

Hu, Tengyue, Liu, Chang Hai, Zheng, Yurong, Ji, Jialin, Zheng, Yantong, He, Si-Ke, Wu, Dongbo, Jiang, Wei, Zeng, Qingmin, Zhang, Nannan, and Tang, Hong

Abstract

Alcoholic liver disease (ALD) encompasses a spectrum of liver conditions, including liver steatosis, alcoholic hepatitis (AH), fibrosis, cirrhosis, and hepatocellular carcinoma (HCC). microRNAs (miRNAs) have garnered significant interest as potential biomarkers for ALD. We searched PubMed, Embase, Web of Science and Cochrane Central Register of Controlled Trials (CENTRAL) systemically from inception to June 2024. All extracted data was stratified according to the stages of ALD. The vote-counting strategy performed a meta-analysis on miRNA expression profiles. We included 40 studies. In serum of individuals with alcohol-use vs. no alcohol-use, miRNA-122 and miRNA-155 were upregulated, and miRNA-146a was downregulated. In patients with ALD vs. healthy controls, miRNA-122 and miRNA-155 were also upregulated, and miRNA-146a was downregulated. However, in patients with AH vs. healthy individuals, only the serum miRNA-122 level was upregulated. Due to insufficient data on diagnostic accuracy, we failed to conclude the ability of miRNAs to distinguish between different stages of ALD-related liver fibrosis. The results for ALD-related HCC were also insufficient and controversial. Circulating miRNA-122 was the most promising biomarker to manage individuals with ALD. More studies were needed for the diagnostic accuracy of miRNAs in ALD. This protocol was registered on the International Prospective Register of Systematic Reviews (PROSPERO) () with registration number CRD42023391931. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Mendelian‐randomization study revealed causal relationship between nonalcoholic fatty liver disease and osteoporosis/fractures.

Author

Pei, Xiong, Jiang, Wei, Li, Lianchi, Zeng, Qingmin, Liu, Chang‐Hai, Wang, Ming, Chen, Enqiang, Zhou, Taoyou, Tang, Hong, and Wu, Dongbo

Subjects
NON-alcoholic fatty liver disease, FATTY liver, HIP fractures, GENOME-wide association studies, BONE density, FOOT fractures, WAIST-hip ratio
Abstract

Background: Patients with nonalcoholic fatty liver disease (NAFLD) are reported to have a higher risk of osteoporosis/fractures; however, the causal relationship remains unclear. Methods: Publicly available genome‐wide association studies (GWASs) were used for Mendelian randomization (MR) analysis. GWASs of NAFLD and fractures were obtained from the FinnGen Consortium. GWASs of bone mineral density (BMD) were derived from a meta‐analysis. GWASs of obesity, diabetes, liver function, and serum lipid‐related metrics were used to clarify whether the accompanying NAFLD symptoms contributed to fractures. Moreover, two additional GWASs of NAFLD were applied. Results: A causal association was not observed between NAFLD and BMD using GWASs from the FinnGen Consortium. However, a causal relationship between NAFLD and femoral neck‐BMD (FN‐BMD), a suggestive relationship between fibrosis and FN‐BMD, and between NAFLD and osteoporosis were identified in replication GWASs. Genetically proxied body mass index (BMI), high‐density lipoprotein (HDL), and hip circumference increased the likelihood of lower limb fractures. The waist‐to‐hip ratio decreased, whereas glycated hemoglobin (HbA1C) and homeostasis model assessment of β‐cell function (HOMA‐B) increased the risk of forearm fractures. Low‐density lipoprotein (LDL) reduced, whereas HbA1C increased the incidence of femoral fractures. Alkaline phosphatase (ALP) raised the risk of foot fractures. However, after a multivariate MR analysis (adjusted for BMI), all the relationships became insignificant. Conclusions: NAFLD caused reduced BMD, and genetically predicted HDL, LDL, HbA1C, HOMA‐B, ALP, hip circumference, and waist‐to‐hip ratio causally increased the risk of fractures. BMI may mediate causal relationships. Larger GWASs are required to verify this finding. [ABSTRACT FROM AUTHOR]

Published
2024
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12. A recurrence‐predictive model based on eight genes and tumor mutational burden/microsatellite instability status in Stage II/III colorectal cancer

Author

Gao, Zhaoya, primary, Wan, Zhiyi, additional, Yu, Pengfei, additional, Shang, Yan, additional, Zhu, Guangsheng, additional, Jiang, Huiyuan, additional, Chen, Yawei, additional, Wang, Shengzhou, additional, Lei, Fuming, additional, Huang, Wensheng, additional, Zeng, Qingmin, additional, Wang, Yanzhao, additional, Rong, Wanshui, additional, Hong, Yuming, additional, Gao, Qingkun, additional, Niu, Pengfei, additional, Zhai, Zhichao, additional, An, Ke, additional, Ding, Changmin, additional, Wang, Yunfan, additional, Gu, Guoli, additional, Wang, Xin, additional, Meng, Qingkai, additional, Ye, Shengwei, additional, Liu, Haiyi, additional, and Gu, Jin, additional

Published
2023
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19. Adaptive Block-Wise Regularization and Knowledge Distillation for Enhancing Federated Learning

Author

Liu, Jianchun, Zeng, Qingmin, Xu, Hongli, Xu, Yang, Wang, Zhiyuan, and Huang, He

Abstract

Federated Learning (FL) is a distributed model training framework that allows multiple clients to collaborate on training a global model without disclosing their local data in edge computing (EC) environments. However, FL usually faces statistical heterogeneity (e.g., non-IID data) and system heterogeneity (e.g., computing and communication capabilities), resulting in poor model training performance. To deal with the above two challenges, we propose an efficient FL framework, named FedBR, which integrates the idea of block-wise regularization and knowledge distillation (KD) into the pioneering FL algorithm FedAvg, for resource-constrained edge computing. Specifically, we first divide the model into multiple blocks according to the layer order of deep neural network (DNN). The server only sends some consecutive model blocks instead of an entire model to clients for communication efficiency. Then, the clients make use of knowledge distillation to absorb the knowledge of global model blocks to alleviate statistical heterogeneity during local training. We provide a theoretical convergence guarantee for FedBR and show that the convergence bound will decrease as the increasing number of model blocks sent by the server. Besides, since the increasing number of model blocks brings more computing and communication costs, we design a heuristic algorithm (GMBS) to determine the appropriate number of model blocks for clients according to their varied data distributions, computing, and communication capabilities. Extensive experimental results show that FedBR can reduce the bandwidth consumption by about 31%, and achieve an average accuracy improvement of around 5.6% compared with the baselines under heterogeneous settings.

Published
2024
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23. Perineal defect reconstruction after surgery for advanced or locally recurrent rectal cancer involving organ resection: Multiple flaps combined with lining repair.

Author

Gao, Zhaoya, Wang, Yanzhao, Zeng, Qingmin, Rong, Wanshui, Wang, Zilong, Zhai, Zhichao, Ding, Changmin, An, Ke, Gao, Qingkun, Niu, Pengfei, Hong, Yuming, He, Xiaomang, Huang, Wensheng, Lei, Fuming, Wen, Bing, Wang, Xin, and Gu, Jin

Subjects
RECTAL cancer, RECTAL surgery, PELVIC exenteration, PERFORATOR flaps (Surgery), PATIENTS, ONCOLOGIC surgery, SURGERY
Abstract

Aim: The aim of this study was to investigate the efficacy of multiple perineal perforator flaps in repairing deep perineal defects after pelvic exenteration for locally advanced or recurrent rectal cancer. Method: We investigated the outcomes of eight patients whose repairs involved a novel method of using an internal pudendal artery perforator (IPAP) flap combined with an inferior gluteal artery perforator (IGAP) flap. Results: There were four male and four female patients with a mean age of 56 years (36–72 years). Bilateral IPAP flaps combined with bilateral IGAP flaps were used in five patients, unilateral IPAP flaps combined with bilateral IGAP flaps were used in two patients and bilateral IPAP flaps were used in one patient. There were no functional limitations in daily activities during the 6‐month follow‐up period. Conclusion: Our study showed that using multiple perineal perforator flaps combined with lining repair is feasible for repairing deep perineal defects in patients who have undergone rectal cancer surgery that includes pelvic exenteration. [ABSTRACT FROM AUTHOR]

Published
2023
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29. Additional file 1 of Development and validation of postoperative circulating tumor DNA combined with clinicopathological risk factors for recurrence prediction in patients with stage I-III colorectal cancer

Author

Gao, Zhaoya, Huang, Dandan, Chen, Hui, Yang, Yong, An, Ke, Ding, Changmin, Yuan, Zheping, Zhai, Zhichao, Niu, Pengfei, Gao, Qingkun, Cai, Jinping, Zeng, Qingmin, Wang, Yanzhao, Hong, Yuming, Rong, Wanshui, Huang, Wensheng, Lei, Fuming, Wang, Xiaodong, Chen, Shiqing, Zhao, Xiaochen, Bai, Yuezong, and Gu, Jin

Abstract

Additional file 1: Figure S1. Heatmap demonstrating the mutational landscape of the primary tumors from 124 evaluable CRC patients. Figure S2. RFS outcomes of ctDNA-positive and ctDNA-negative CRC patients with different pathologic stages. Figure S3. Evaluation of the CTCP model for predicting 1-, 3- and 4 year RFS in the discovery cohort. Figure S4. Evaluation of the CTCP model for predicting 1 year RFS in the validation cohort. Table S1. The relationship analysis between postoperative ctDNA status and clinicopathological parameters. Table S2. The sensitivity and specificity of postoperative ctDNA status for predicting RFS at 6-48 months. Table S3. The sensitivity and specificity of the CTCP model for predicting RFS at 6-48 months.

Published
2023
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30. Development and validation of postoperative circulating tumor DNA combined with clinicopathological risk factors for recurrence prediction in patients with stages I-III colorectal cancer

Author

Gao, Zhaoya, primary, Huang, Dandan, additional, Chen, Hui, additional, Yang, Yong, additional, An, Ke, additional, Ding, Changmin, additional, Yuan, Zheping, additional, Zhai, Zhichao, additional, Niu, Pengfei, additional, Gao, Qingkun, additional, Cai, Jinping, additional, Zeng, Qingmin, additional, Wang, Yanzhao, additional, Hong, Yuming, additional, Rong, Wanshui, additional, Huang, Wensheng, additional, Lei, Fuming, additional, Wang, Xiaodong, additional, Chen, Shiqing, additional, Zhao, Xiaochen, additional, Bai, Yuezong, additional, and Gu, Jin, additional

Published
2022
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33. Recurrence risk stratification model for patients with stage I-III colorectal cancer based on clinicopathological and postoperative ctDNA predictors.

Author

Gu, Jin, primary, Lei, Fuming, additional, Wang, Xiaodong, additional, Chen, Hui, additional, Huang, Wensheng, additional, He, Xiaomang, additional, Hong, Yuming, additional, Zeng, Qingmin, additional, Wang, Yanzhao, additional, Gao, Qingkun, additional, Yuan, Zheping, additional, Niu, Pengfei, additional, Huang, Dandan, additional, Gao, Zhaoya, additional, Ding, Changming, additional, Zhai, Zhichao, additional, An, Ke, additional, Chen, Shiqing, additional, Zhao, Xiaochen, additional, and Bai, Yuezong, additional

Published
2022
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37. The mutational landscape of the adjacent paracancerous tissues confirmed the safe margin of 2-5cm in colorectal cancer resection.

Author

Gu, Jin, primary, Yao, Jianfei, additional, Song, Lele, additional, Huang, Dandan, additional, Gao, Zhaoya, additional, Gao, Qingkun, additional, Niu, Pengfei, additional, Zeng, Qingmin, additional, Wang, Yanzhao, additional, Wang, Denglin, additional, Liu, Danni, additional, Jing, Zhang, additional, and Lei, Fuming, additional

Published
2020
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