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475 results on '"He, Zhonghu"'

13. A high-resolution genotype–phenotype map identifies the TaSPL17 controlling grain number and size in wheat

Author

Liu, Yangyang, Chen, Jun, Yin, Changbin, Wang, Ziying, Wu, He, Shen, Kuocheng, Zhang, Zhiliang, Kang, Lipeng, Xu, Song, Bi, Aoyue, Zhao, Xuebo, Xu, Daxing, He, Zhonghu, Zhang, Xueyong, Hao, Chenyang, Wu, Jianhui, Gong, Yan, Yu, Xuchang, Sun, Zhiwen, Ye, Botao, Liu, Danni, Zhang, Lili, Shen, Liping, Hao, Yuanfeng, Ma, Youzhi, Lu, Fei, and Guo, Zifeng

Published
2023
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19. Development and Validation of A Prognosis Prediction Model for Esophageal Squamous Cell Carcinoma Patients Treated with Esophagectomy: A Multicenter Real-world Cohort Study

Author

YANG Wenlei, LIU Fangfang, XU Ruiping, YANG Wei, HE Yu, LIU Zhen, ZHOU Fuyou, HENG Fanxiu, HOU Bolin, ZHANG Lixin, CHEN Lei, ZHANG Fan, CAI Fen, XU Huawen, LIN Miaoping, LIU Mengfei, PAN Yaqi, LIU Ying, HU Zhe, CHEN Huanyu, HE Zhonghu, and KE Yang

Subjects
esophageal squamous cell carcinoma, real-world study, prognosis prediction model, clinical treatment decision-making, Medicine
Abstract

Objective To construct and validate a prognosis prediction model and a risk stratification tool for more precise and individualized evaluation of prognosis for patients following resection of esophageal squamous cell carcinoma (ESCC), and provide real-world evidence for informing optimal decision-making about adjuvant therapy. Methods The comprehensive clinical data and follow-up data were collected from consecutive patients with ESCC in the Anyang Cancer Hospital (Anyang center) from May 31, 2011 to July 31, 2018, and in the Cancer Hospital of Shantou University Medical College (Shantou center) from August 1, 2009 to December 31, 2018. Patients from the Anyang center formed the training cohort, and a two-phase selection based on backward stepwise multivariable Cox proportional hazard regression and minimization of AIC was used to construct prediction model for overall survival (OS). Bootstrap with 1 000 resamples was used for internal validation, and cohort from the Shantou center was used for external validation. Furthermore, a risk stratification tool was constructed according to the tertiles of the total points derived from nomogram in the training cohort. Results A total of 4 171 eligible patients were included in the training cohort, and 1 895 patients were included in the validation cohort. The final model incorporated nine variables: age, sex, primary tumor location, T stage, N stage, number of lymph nodes harvested, tumor size, adjuvant treatment, and preoperative hemoglobin level. A significant interaction was observed between N stage and adjuvant treatment (P < 0.001), which means that N+ stage patients were likely to benefit from addition of adjuvant therapy as opposed to surgery alone, but adjuvant therapy did not improve OS for N0 stage patients. The C-index of the model was 0.728 (95% CI: 0.713-0.742) in the training cohort, 0.722 (95% CI: 0.711-0.739) after bootstrapping, and 0.679 (95% CI: 0.662-0.697) in the external validation cohort. Calibration plots demonstrated favorable agreement between model prediction and actual observation for 1-, 3- and 5-year OS. In both training and validation cohorts, this model outperformed the seventh edition of the AJCC TNM (tumor, lymph node, and metastasis) staging system in terms of the accuracy of prognostic prediction (P < 0.05). Moreover, within each TNM staging group, this model achieved ideal risk stratification. Conclusions The prediction model constructed in this study may provide individualized survival prediction for patients with resected ESCC in China. This study also demonstrated that the N stage may be a fundamental determinant in planning postoperative adjuvant therapy for ESCC patients.

Published
2023
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34. Comparative analysis of yield and quality traits in two elite Chinese wheat varieties under varied nitrogen fertilizations and environmental conditions.

Author

Xu, Kaijie, Zhang, Zhaoxing, Tian, Wenfei, Zhi, Lei, Yan, Junliang, Yan, Jun, Zheng, Chengyan, Zhang, Yan, Zhang, Yong, and He, Zhonghu

Abstract

Background and Objectives: This study explored the impact of nitrogen (N) application on yield and breadmaking as well as arabinoxylan (AX) content of wheat varieties Zhongmai 578 and Jimai 22 across varied environments, aiming to optimize N levels for improved outcomes. Findings: Significant N effects were observed on yield, flour properties, and breadmaking quality traits. Both varieties displayed high yield potential and stability, with Zhongmai 578 excelling in thousand kernel weight and Jimai 22 in spike number. Optimal N rates varied by location, with some achieving peak yields at reduced N levels. Processing traits like dough properties and bread‐making quality were influenced by E × N interactions. Arabinoxylans profiles was not affected by different N input. Conclusions: Customizing N applications to specific environment is critical for maximizing wheat yield potential and quality. Environmental considerations are integral for achieving desired processing traits and yield, highlighting the need for tailored N strategies in wheat cultivation. Significance and Novelty: This study emphasizes the importance of site‐specific optimization of N levels for enhanced yield and processing quality. It offers novel insights into site‐specific N management, showcasing its relevance in modern agricultural practices for sustainable crop production. [ABSTRACT FROM AUTHOR]

Published
2024
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35. Identifying High‐Yielding and Drought‐Tolerant Wheat Cultivars Based on Ideotypic Traits and Yield Responses to Stress.

Author

Li, Yibo, Tao, Fulu, Hao, Yuanfeng, Xiao, Yonggui, He, Zhonghu, and Reynolds, Matthew

Subjects
YIELD stress, DROUGHT tolerance, AGRICULTURE, CULTIVARS, WHEAT breeding, PLANT productivity
Abstract

Drought is one of the most adverse factors affecting plant growth and productivity. Identifying elite genotypes and their ideotypic traits conferring high yield potential and drought tolerance is critical in selecting and breeding drought‐tolerant wheat cultivars. In this study, we conducted field experiments at the Xinxiang Agricultural Comprehensive Experimental station in the North China Plain from 2018 to 2020 and assessed 209 wheat cultivars released since the 1940s under irrigated and nonirrigated conditions. Then, we selected drought‐tolerant cultivars by classifying them into four groups based on yield response to drought stress and several drought indices. Finally, the key ideotypic traits associated with high yield potential and drought tolerance were identified. Results indicated that the grain yield of the 209 cultivars decreased on average by 10.4% and 9.4% under nonirrigated treatment in 2018–2019 and 2019–2020, respectively, relative to full irrigation. The high‐yielding cultivars under both irrigation treatments are characterised by a compact plant type, larger thousand‐grain weight, larger chlorophyll content, higher leaf photosynthesis, shorter plant height and stay‐green traits. The stomatal and nonstomatal limitations are strongly associated with genotype yield performance, elucidating a potential mechanism underlying drought tolerance. Drought tolerance and yield stability of wheat cultivars have been improved through breeding over the past 70 years. Our findings enhance understanding of drought tolerance and identify genotypes and traits beneficial for breeding high‐yielding and drought‐tolerant cultivars. [ABSTRACT FROM AUTHOR]

Published
2024
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36. Beyond pathways: Accelerated flavonoids candidate identification and novel exploration of enzymatic properties using combined mapping populations of wheat.

Author

Chen, Jie, Zhang, Yueqi, Wei, Jiaqi, Hu, Xin, Yin, Huanran, Liu, Wei, Li, Dongqin, Tian, Wenfei, Hao, Yuanfeng, He, Zhonghu, Fernie, Alisdair R., and Chen, Wei

Subjects
TRANSCRIPTION factors, WHEAT, FLAVONOIDS, CROP improvement, STATISTICAL power analysis
Abstract

Summary: Although forward‐genetics‐metabolomics methods such as mGWAS and mQTL have proven effective in providing myriad loci affecting metabolite contents, they are somehow constrained by their respective constitutional flaws such as the hidden population structure for GWAS and insufficient recombinant rate for QTL. Here, the combination of mGWAS and mQTL was performed, conveying an improved statistical power to investigate the flavonoid pathways in common wheat. A total of 941 and 289 loci were, respectively, generated from mGWAS and mQTL, within which 13 of them were co‐mapped using both approaches. Subsequently, the mGWAS or mQTL outputs alone and their combination were, respectively, utilized to delineate the metabolic routes. Using this approach, we identified two MYB transcription factor encoding genes and five structural genes, and the flavonoid pathway in wheat was accordingly updated. Moreover, we have discovered some rare‐activity‐exhibiting flavonoid glycosyl‐ and methyl‐transferases, which may possess unique biological significance, and harnessing these novel catalytic capabilities provides potentially new breeding directions. Collectively, we propose our survey illustrates that the forward‐genetics‐metabolomics approaches including multiple populations with high density markers could be more frequently applied for delineating metabolic pathways in common wheat, which will ultimately contribute to metabolomics‐assisted wheat crop improvement. [ABSTRACT FROM AUTHOR]

Published
2024
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37. Is Adjuvant Therapy a Better Option for Esophageal Squamous Cell Carcinoma Patients Treated With Esophagectomy? A Prognosis Prediction Model Based on Multicenter Real-World Data

Author

Yang, Wenlei, Liu, Fangfang, Xu, Ruiping, Yang, Wei, He, Yu, Liu, Zhen, Zhou, Fuyou, Heng, Fanxiu, Hou, Bolin, Zhang, Lixin, Chen, Lei, Zhang, Fan, Cai, Fen, Xu, Huawen, Lin, Miaoping, Liu, Mengfei, Pan, Yaqi, Liu, Ying, Hu, Zhe, Chen, Huanyu, He, Zhonghu, and Ke, Yang

Published
2023
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