1.Nomogram based on CT texture analysis and morphological characteristics for differentiating Borrmann Ⅳ type gastric cancer from gastric diffuse large B-cell lymphoma
Changfeng JI ; Song LIU ; Xiangmei QIAO ; Ling CHEN ; Han WANG ; Yiwen SUN ; Kefeng ZHOU ; Zhengyang ZHOU
Chinese Journal of Radiology 2023;57(4):397-403
Objective:To explore the value in differentiating Borrmann Ⅳ type gastric cancer (BT4-GC) from gastric diffuse large B-cell lymphoma (DLBCL) using a nomogram based on CT texture analysis (CTTA) and morphological characteristics.Methods:From June 2011 to December 2020, a total of 60 patients with BT4-GC and 24 patients with DLBCL were retrospectively collected in Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University. Morphological characteristics were evaluated, including major location, long axis range, circumferential range, mucosal line status, and perigastric enlarged lymph nodes. CTTA parameters were calculated using venous CT images with a manual region of interest. The morphological characteristics and CTTA parameters between BT4-GC and DLBCL were compared by χ 2 test, Fisher exact test or Mann-Whitney U test. The multivariate binary logistic regression analysis was used to filter factors into the diagnostic model and construct a nomogram. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic performance of CTTA parameters and the diagnostic model in differentiating BT4-GC from DLBCL. Results:For morphological characteristics, mucosal line status showed a significant difference between BT4-GC and DLBCL (χ 2=12.99, P<0.001). For CTTA parameters, 16 parameters showed significant differences between BT4-GC and DLBCL (all P<0.05). The area under the ROC curve (AUC) of 16 CTTA parameters in differentiating BT4-GC from DLBCL was 0.662-0.833. Percentile 90 showed the highest AUC of 0.833 (95%CI 0.736-0.906). The mucosal line status (OR 4.82, 95%CI 1.21-19.25, P=0.026) and percentile 90 (OR 1.09, 95%CI 1.04-1.15, P=0.001) were brought into the diagnostic model and constructed a nomogram. The AUC of the model in differentiating BT4-GC from DLBCL was 0.898 (95%CI 0.813-0.953), sensitivity was 0.833, and specificity was 0.817. Conclusions:The nomogram based on CTTA percentile 90 and morphological characteristics mucosal line status can effectively distinguish BT4-GC from DLBCL and shows high diagnostic efficacy.
2.Relationship between Single Nucleotide Polymorphisms in Seven Sites of KCNQ1 and Susceptibilities to Exercise in Prediabetes
Xiaohui XIA ; Hui WANG ; Sheping ZHANG ; Huijun XIA
Chinese Journal of Rehabilitation Theory and Practice 2018;24(5):575-580
Objective To observe the relationship between 7 single nucleotide polymorphisms (SNPs) in KCNQ1 gene region and the effects of exercise intervention on prediatbets. Methods From January, 2015, 70 prediabetes accepted aerobic endurance exercise for twelve weeks. The indexes related to glucose and lipid metabolism were measured before and after intervention. Their genotypes of SNPs were detected with matrix-assisted laser desorption/ionization time of flight mass spectrometry. Results A total of 66 cases finished the tests. Compared with other genotypes of rs2299620, two hours postprandial blood glucose (P2hBG) decreased the most in those with TT genotype (F=5.460, P<0.05). Compared with other haplotypes, P2hBG decreased more in those with C-T haplotype of rs2237897-rs2299620, T-C haplotype of rs2299620-rs151290 and T-T haplotype of rs2299620-rs2237892 (χ2>7.950, P<0.05), fasting insulin decreased more in those with T-C haplotype of rs2237897-rs2299620 (χ2=9.000, P<0.05), and low density lipoprotein decreased more in those with A-C haplotype of rs2283228-rs2237892 (χ2=15.820, P<0.001).Conclusion The prediatbets with TT genotype of rs2299620 and some haplotypes of KCNQ1 are susceptible to exercise intervention in glucose and lipid metabolism.
3.A genome sequence of novel SARS-CoV isolates: the genotype, GD-Ins29, leads to a hypothesis of viral transmission in South China.
E'de QIN ; Xionglei HE ; Wei TIAN ; Yong LIU ; Wei LI ; Jie WEN ; Jingqiang WANG ; Baochang FAN ; Qingfa WU ; Guohui CHANG ; Wuchun CAO ; Zuyuan XU ; Ruifu YANG ; Jing WANG ; Man YU ; Yan LI ; Jing XU ; Bingyin SI ; Yongwu HU ; Wenming PENG ; Lin TANG ; Tao JIANG ; Jianping SHI ; Jia JI ; Yu ZHANG ; Jia YE ; Cui'e WANG ; Yujun HAN ; Jun ZHOU ; Yajun DENG ; Xiaoyu LI ; Jianfei HU ; Caiping WANG ; Chunxia YAN ; Qingrun ZHANG ; Jingyue BAO ; Guoqing LI ; Weijun CHEN ; Lin FANG ; Changfeng LI ; Meng LEI ; Dawei LI ; Wei TONG ; Xiangjun TIAN ; Jin WANG ; Bo ZHANG ; Haiqing ZHANG ; Yilin ZHANG ; Hui ZHAO ; Xiaowei ZHANG ; Shuangli LI ; Xiaojie CHENG ; Xiuqing ZHANG ; Bin LIU ; Changqing ZENG ; Songgang LI ; Xuehai TAN ; Siqi LIU ; Wei DONG ; Jun WANG ; Gane Ka-Shu WONG ; Jun YU ; Jian WANG ; Qingyu ZHU ; Huanming YANG
Genomics, Proteomics & Bioinformatics 2003;1(2):101-107
We report a complete genomic sequence of rare isolates (minor genotype) of the SARS-CoV from SARS patients in Guangdong, China, where the first few cases emerged. The most striking discovery from the isolate is an extra 29-nucleotide sequence located at the nucleotide positions between 27,863 and 27,864 (referred to the complete sequence of BJ01) within an overlapped region composed of BGI-PUP5 (BGI-postulated uncharacterized protein 5) and BGI-PUP6 upstream of the N (nucleocapsid) protein. The discovery of this minor genotype, GD-Ins29, suggests a significant genetic event and differentiates it from the previously reported genotype, the dominant form among all sequenced SARS-CoV isolates. A 17-nt segment of this extra sequence is identical to a segment of the same size in two human mRNA sequences that may interfere with viral replication and transcription in the cytosol of the infected cells. It provides a new avenue for the exploration of the virus-host interaction in viral evolution, host pathogenesis, and vaccine development.
Base Sequence
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China
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Cluster Analysis
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Gene Components
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Genetic Variation
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Genome, Viral
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Genotype
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Molecular Sequence Data
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Phylogeny
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Reverse Transcriptase Polymerase Chain Reaction
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SARS Virus
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genetics
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Sequence Analysis, DNA
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Severe Acute Respiratory Syndrome
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genetics