目的评估基于前列腺成像报告和数据系统2.1版本(prostate imaging-reporting and data system version 2.1,PI-RADS v2.1)及多参数磁共振成像(multiparametric magnetic resonance imaging,mp-MRI)衍生标志物用于移行带临床显著性前列腺...目的评估基于前列腺成像报告和数据系统2.1版本(prostate imaging-reporting and data system version 2.1,PI-RADS v2.1)及多参数磁共振成像(multiparametric magnetic resonance imaging,mp-MRI)衍生标志物用于移行带临床显著性前列腺癌(clinically significant prostate cancer,csPCa)检测的价值。材料与方法回顾性分析2020年1月至2024年2月在我院行mp-MRI及病理活检的移形带前列腺疾病患者的临床及影像学资料。由具有8年前列腺成像经验的主治医生基于PI-RADS v2.1对MRI图像进行评估,并勾画病变轮廓,从而获得包括三维直径、相对病变体积(病变体积除以前列腺体积)、球形度、平整度及表面体积比等MRI特征。使用logistic分析,确定PI-RADS评分及多参数MRI衍生标志物与移行带csPCa检测的关系。结果纳入的403例患者中PI-RADS 1(n=25)、2(n=119)、3(n=130)、4(n=43)和5(n=86)类病变的csPCa检出率分别为0.00%、0.00%、3.85%、32.56%和70.93%。PI-RADS 3类、4类、5类的csPCa检出率差异具有统计学意义(P<0.001)。移行带csPCa的预测因子包括血清前列腺特异性抗原(prostate-specific antigen,PSA)[OR=1.05(95%CI:1.00~1.10);P=0.047]、PI-RADS[OR=8.92(95%CI:2.94~27.13);P<0.001]、最大二维直径[OR=0.84(95%CI:0.71~0.98);P=0.046]及网格体积[OR=1.00(95%CI:1.00~1.00);P=0.041]。结论血清PSA、PI-RADS评分、病灶直径及网格体积等是移行带csPCa的独立预测因子。展开更多
Soybean [Glycine max(L.) Merrill] is a major plant source of protein and oil. An accurate and well-saturated molecular linkage map is a prerequisite for forward genetic studies of gene function and for modern breeding...Soybean [Glycine max(L.) Merrill] is a major plant source of protein and oil. An accurate and well-saturated molecular linkage map is a prerequisite for forward genetic studies of gene function and for modern breeding for many useful agronomic traits. Next-generation sequence data available in public databases provides valuable information and offers new insights for rapid and efficient development of molecular markers. In this study, we attempted to show the feasibility and facility of using genomic resequencing data as raw material for identifying putative In Del markers. First, we identified 17,613 In Del sites among 56 soybean accessions and obtained 12,619 primer pairs. Second, we constructed a genetic map with a random subset of 2841 primer pairs and aligned 300 polymorphic markers with the 20 consensus linkage groups(LG). The total genetic distance was 2347.3 c M and the number of mapped markers per LG ranged from 10 to 23 with an average of 15 markers. The largest and smallest genetic distances between adjacent markers were 52.3 c M and 0.1 cM, respectively. Finally, we validated the genetic map constructed by newly developed In Del markers by QTL analysis of days to flowering(DTF) under different environments. One major QTL(qDTF4) and four minor QTL(qDTF20, qDTF13, qDTF12,and q DTF11) on 5 LGs were detected. These results demonstrate the utility of the In Del markers developed in this work for map-based cloning and molecular breeding in soybean.展开更多
Resistance to cancer therapy continues to be a major limitation for the successful treatment of cancer. There are many published studies on therapy resistance in breast and prostate cancers; however, there are current...Resistance to cancer therapy continues to be a major limitation for the successful treatment of cancer. There are many published studies on therapy resistance in breast and prostate cancers; however, there are currently no data on molecular markers associated with resistance. The conflicting data were reported regarding the AKT/m-TOR signaling pathway components as markers predicting resistance. The AKT/m-TOR signaling pathway is involved in the development of many human cancers; its activation is related to cell proliferation, angiogenesis, apoptosis, as well as to therapy resistance. Molecular alterations in the AKT/m-TOR signaling pathway provide a platform to identify universal markers associated with the development of resistance to cancer therapy.展开更多
目的:探讨妇科影像报告和数据系统(Gynecology Imaging Reporting and Data System,GI-RADS)分级与肿瘤标志物在小儿卵巢肿瘤良恶性鉴别中的价值。方法:回顾并分析100例小儿卵巢肿瘤的超声检查及糖类抗原(cancer antigen,CA)125、CA19-...目的:探讨妇科影像报告和数据系统(Gynecology Imaging Reporting and Data System,GI-RADS)分级与肿瘤标志物在小儿卵巢肿瘤良恶性鉴别中的价值。方法:回顾并分析100例小儿卵巢肿瘤的超声检查及糖类抗原(cancer antigen,CA)125、CA19-9检测结果,比较良恶性肿瘤标志物水平及超声特征。采用受试者工作特征(receiver operating characteristic,ROC)曲线分析各项检查的诊断效能。结果:恶性组CA19-9、CA125高于良性组[(81.61±9.14)kU/L vs(19.55±4.85)kU/L,t=34.552;(68.42±6.15)kU/L vs(25.71±5.31)kU/L,t=23.747;P<0.05]。超声GI-RADS分级、CA19-9、CA125、联合诊断的准确度分别为86.00%、76.00%、72.00%、97.00%。同时,经ROC曲线分析,超声GIRADS分级、CA19-9、CA125及联合诊断的曲线下面积(area under curve,AUC)分别为0.833、0.689、0.667、0.939。结论:在诊断卵巢肿瘤良恶性时联合超声GI-RADS分级和肿瘤标志物,可提高诊断准确度。展开更多
文摘目的评估基于前列腺成像报告和数据系统2.1版本(prostate imaging-reporting and data system version 2.1,PI-RADS v2.1)及多参数磁共振成像(multiparametric magnetic resonance imaging,mp-MRI)衍生标志物用于移行带临床显著性前列腺癌(clinically significant prostate cancer,csPCa)检测的价值。材料与方法回顾性分析2020年1月至2024年2月在我院行mp-MRI及病理活检的移形带前列腺疾病患者的临床及影像学资料。由具有8年前列腺成像经验的主治医生基于PI-RADS v2.1对MRI图像进行评估,并勾画病变轮廓,从而获得包括三维直径、相对病变体积(病变体积除以前列腺体积)、球形度、平整度及表面体积比等MRI特征。使用logistic分析,确定PI-RADS评分及多参数MRI衍生标志物与移行带csPCa检测的关系。结果纳入的403例患者中PI-RADS 1(n=25)、2(n=119)、3(n=130)、4(n=43)和5(n=86)类病变的csPCa检出率分别为0.00%、0.00%、3.85%、32.56%和70.93%。PI-RADS 3类、4类、5类的csPCa检出率差异具有统计学意义(P<0.001)。移行带csPCa的预测因子包括血清前列腺特异性抗原(prostate-specific antigen,PSA)[OR=1.05(95%CI:1.00~1.10);P=0.047]、PI-RADS[OR=8.92(95%CI:2.94~27.13);P<0.001]、最大二维直径[OR=0.84(95%CI:0.71~0.98);P=0.046]及网格体积[OR=1.00(95%CI:1.00~1.00);P=0.041]。结论血清PSA、PI-RADS评分、病灶直径及网格体积等是移行带csPCa的独立预测因子。
基金supported by National Natural Science Foundation of China (31430065, 31571686, 31371643, 31071445)National Key Research and Development Program (2016YFD0100401)+4 种基金“Strategic Priority Research Program” of the Chinese Academy of Sciences (XDA08030108)the Open Foundation of the Key Laboratory of Soybean Molecular Design Breeding of Chinese Academy of Sciences“One-hundred Talents” Startup Funds from Chinese Academy of SciencesScientific Research Foundation for Returned Chinese Scholars of Heilongjiang Province, China (LC201417)the Science Foundation for Creative Research Talents of Harbin Science and Technology Bureau, China (2014RFQYJ046)
文摘Soybean [Glycine max(L.) Merrill] is a major plant source of protein and oil. An accurate and well-saturated molecular linkage map is a prerequisite for forward genetic studies of gene function and for modern breeding for many useful agronomic traits. Next-generation sequence data available in public databases provides valuable information and offers new insights for rapid and efficient development of molecular markers. In this study, we attempted to show the feasibility and facility of using genomic resequencing data as raw material for identifying putative In Del markers. First, we identified 17,613 In Del sites among 56 soybean accessions and obtained 12,619 primer pairs. Second, we constructed a genetic map with a random subset of 2841 primer pairs and aligned 300 polymorphic markers with the 20 consensus linkage groups(LG). The total genetic distance was 2347.3 c M and the number of mapped markers per LG ranged from 10 to 23 with an average of 15 markers. The largest and smallest genetic distances between adjacent markers were 52.3 c M and 0.1 cM, respectively. Finally, we validated the genetic map constructed by newly developed In Del markers by QTL analysis of days to flowering(DTF) under different environments. One major QTL(qDTF4) and four minor QTL(qDTF20, qDTF13, qDTF12,and q DTF11) on 5 LGs were detected. These results demonstrate the utility of the In Del markers developed in this work for map-based cloning and molecular breeding in soybean.
文摘Resistance to cancer therapy continues to be a major limitation for the successful treatment of cancer. There are many published studies on therapy resistance in breast and prostate cancers; however, there are currently no data on molecular markers associated with resistance. The conflicting data were reported regarding the AKT/m-TOR signaling pathway components as markers predicting resistance. The AKT/m-TOR signaling pathway is involved in the development of many human cancers; its activation is related to cell proliferation, angiogenesis, apoptosis, as well as to therapy resistance. Molecular alterations in the AKT/m-TOR signaling pathway provide a platform to identify universal markers associated with the development of resistance to cancer therapy.
文摘目的:探讨妇科影像报告和数据系统(Gynecology Imaging Reporting and Data System,GI-RADS)分级与肿瘤标志物在小儿卵巢肿瘤良恶性鉴别中的价值。方法:回顾并分析100例小儿卵巢肿瘤的超声检查及糖类抗原(cancer antigen,CA)125、CA19-9检测结果,比较良恶性肿瘤标志物水平及超声特征。采用受试者工作特征(receiver operating characteristic,ROC)曲线分析各项检查的诊断效能。结果:恶性组CA19-9、CA125高于良性组[(81.61±9.14)kU/L vs(19.55±4.85)kU/L,t=34.552;(68.42±6.15)kU/L vs(25.71±5.31)kU/L,t=23.747;P<0.05]。超声GI-RADS分级、CA19-9、CA125、联合诊断的准确度分别为86.00%、76.00%、72.00%、97.00%。同时,经ROC曲线分析,超声GIRADS分级、CA19-9、CA125及联合诊断的曲线下面积(area under curve,AUC)分别为0.833、0.689、0.667、0.939。结论:在诊断卵巢肿瘤良恶性时联合超声GI-RADS分级和肿瘤标志物,可提高诊断准确度。
