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您的检索式：作者名="Weihao Qiu"
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| 1 | Genomic evolution during locoregional recurrence in colorectal cancer determined by whole-exome sequencing: a retrospective observational study显示文摘Objective:The genomic landscapes of metastatic colorectal cancer(mCRC)have been extensively studied;however,the genetic mechanisms underlying the locoregional recurrence(LR)of CRC remain unclear.The objective of our study was to investigate genomic evolution during LR in CRC using high-throughput sequencing.Methods:Twenty-three CRC patients with matched primary and LR tissues were recruited from Nanfang Hospital and Zhejiang Cancer Hospital between January 2011 and December 2018.The last date of follow-up was March 2020.Tissue samples were analyzed by whole-exome sequencing and the genomic profiles were depicted by single nucleotide variation,mutational signature,copy number variation,clonal architecture,and other features.The evolutionary process was speculated with comparison of the genetic variations between primary and LR lesions.The disseminating clusters from primary to LR lesions were identified by variant allele frequency dynamics.Furthermore,the early-recurrent biomarker was explored by comparing the indel signature between early-and late-recurrent patients.The study was approved by the Institutional Review Board of Nanfang Hospital of Southern Medical University(approval No.2020010)on September 11,2020.Results:The results highlighted distinct origins of LR between patients with high microsatellite instability and microsatellite stability.LR lesions evolved independently in patients with high microsatellite instability,while LR lesions were highly clonally related to the primary lesions in patients with microsatellite stability.Late-acquired variations in LR lesions encompassed a wide range of driver genes involved in histone methylation,DNA replication,T cell activation,PDCD1 gain,and LMNA loss.Furthermore,clonal analysis of the disseminating cells identified a dominant polyclonal seeding pattern during LR.The indel signature ID4 was associated with significantly shorter disease-free survival in patients with relapsed CRC according to a public dataset.Conclusion:These findings pose a challenge for the development of new approaches targeting the interactions of multiple clones in the establishment of LR and in terms of optimizing the clinical management of susceptible patients. | Xiaoliang Lan Xiaoxiao Wu Chao Zhang Genxia Wei Bingbing Li Weihao Qiu Danyi Li Huanwen Wu Yanqing Ding Jie Yuan Zaixian Tai Zuoquan Yang Zhiyong Liang Dan Su Li Liang | 2022 | Journal of Bio-X Research2022，5，4： | 0 |
| 2 | SPP-extractor:Automatic phenotype extraction for densely grown soybean plants显示文摘Automatic collecting of phenotypic information from plants has become a trend in breeding and smart agriculture.Targeting mature soybean plants at the harvesting stage,which are dense and overlapping,we have proposed the SPP-extractor(soybean plant phenotype extractor)algorithm to acquire phenotypic traits.First,to address the mutual occultation of pods,we augmented the standard YOLOv5s model for target detection with an additional attention mechanism.The resulting model could accurately identify pods and stems and could count the entire pod set of a plant in a single scan.Second,considering that mature branches are usually bent and covered with pods,we designed a branch recognition and measurement module combining image processing,target detection,semantic segmentation,and heuristic search.Experimental results on real plants showed that SPP-extractor achieved respective R^(2) scores of 0.93–0.99 for four phenotypic traits,based on regression on manual measurements. | Wan Zhou Yijie Chen Weihao Li Cong Zhang Yajun Xiong Wei Zhan Lan Huang Jun Wang Lijuan Qiu | 2023 | The Crop Journal2023，11，5： | 0 |
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