The performances of the Prostate Cancer Prevention Trial （PCPT） risk calculator and other risk calculators for prostate cancer （PCa） prediction in Chinese populations were poorly understood. We performed this stud...The performances of the Prostate Cancer Prevention Trial （PCPT） risk calculator and other risk calculators for prostate cancer （PCa） prediction in Chinese populations were poorly understood. We performed this study to build risk calculators （Huashan risk calculators） based on Chinese population and validated the performance of prostate-specific antigen （PSA）, PCPT risk calculator, and Huashan risk calculators in a validation cohort. We built Huashan risk calculators based on data from 1059 men who underwent initial prostate biopsy from January 2006 to December 2010 in a training cohort. Then, we validated the performance of PSA, PCPT risk calculator, and Huashan risk calculators in an observational validation study from January 2011 to December 2014. All necessary clinical information were collected before the biopsy. The results showed that Huashan risk calculators 1 and 2 outperformed the PCPT risk calculator for predicting PCa in both entire training cohort and stratified population （with PSA from 2.0 ng ml^-1 to 20.0 ng ml^-1）. In the validation study, Huashan risk calculator 1 still outperformed the PCPT risk calculator in the entire validation cohort （0.849 vs 0.779 in area under the receiver operating characteristic curve [AUC]） and stratified population. A considerable reduction of unnecessary biopsies （approximately 30%） was also observed when the Huashan risk calculators were used. Thus, we believe that the Huashan risk calculators （especially Huashan risk calculator 1） may have added value for predicting PCa in Chinese population. However, these results still needed further evaluation in larger populations.展开更多
Grain weight,a key determinant of yield in rice(Oryza sativa L.),is governed primarily by genetic factors,whereas grain chalkiness,a detriment to grain quality,is intertwined with environmental factors such as mineral...Grain weight,a key determinant of yield in rice(Oryza sativa L.),is governed primarily by genetic factors,whereas grain chalkiness,a detriment to grain quality,is intertwined with environmental factors such as mineral nutrients.Nitrogen(N)is recognized for its effect on grain chalkiness,but the underlying molecular mechanisms remain to be clarified.This study revealed the pivotal role of rice NODULE INCEPTION-LIKE PROTEIN 3(OsNLP3)in simultaneously regulating grain weight and grain chalkiness.Our investigation showed that loss of OsNLP3 leads to a reduction in both grain weight and dimension,in contrast to the enhancement observed with OsNLP3 overexpression.OsNLP3 directly suppresses the expression of OsCEP6.1 and OsNF-YA8,which were identified as negative regulators associated with grain weight.Consequently,two novel regulatory modules,OsNLP3-OsCEP6.1 and OsNLP3-OsNF-YA8,were identified as key players in grain weight regulation.Notably,the OsNLP3-OsNF-YA8 module not only increases grain weight but also mitigates grain chalkiness in response to N.This research clarifies the molecular mechanisms that orchestrate grain weight through the OsNLP3-OsCEP6.1 and OsNLP3-OsNF-YA8 modules,highlighting the pivotal role of the OsNLP3-OsNF-YA8 module in alleviating grain chalkiness.These findings reveal potential targets for simultaneous enhancement of rice yield and quality.展开更多
文摘The performances of the Prostate Cancer Prevention Trial （PCPT） risk calculator and other risk calculators for prostate cancer （PCa） prediction in Chinese populations were poorly understood. We performed this study to build risk calculators （Huashan risk calculators） based on Chinese population and validated the performance of prostate-specific antigen （PSA）, PCPT risk calculator, and Huashan risk calculators in a validation cohort. We built Huashan risk calculators based on data from 1059 men who underwent initial prostate biopsy from January 2006 to December 2010 in a training cohort. Then, we validated the performance of PSA, PCPT risk calculator, and Huashan risk calculators in an observational validation study from January 2011 to December 2014. All necessary clinical information were collected before the biopsy. The results showed that Huashan risk calculators 1 and 2 outperformed the PCPT risk calculator for predicting PCa in both entire training cohort and stratified population （with PSA from 2.0 ng ml^-1 to 20.0 ng ml^-1）. In the validation study, Huashan risk calculator 1 still outperformed the PCPT risk calculator in the entire validation cohort （0.849 vs 0.779 in area under the receiver operating characteristic curve [AUC]） and stratified population. A considerable reduction of unnecessary biopsies （approximately 30%） was also observed when the Huashan risk calculators were used. Thus, we believe that the Huashan risk calculators （especially Huashan risk calculator 1） may have added value for predicting PCa in Chinese population. However, these results still needed further evaluation in larger populations.
文摘为选择巨桉(Eucalyptus grandis)优良种源,对其13个种源177个家系性状进行遗传分析。结果表明,22月生巨桉除生长量在区组间差异显著外,其他性状在种源、家系和区组间均存在极显著的差异;50月生时各性状差异均达极显著水平。50月生时,单株材积位于前四的种源分别是2号(来自昆士兰州Copperlode)、3号(来自昆士兰州Ravenshoe)、1号(来自昆士兰州N W Townsille)和11号(来自四川省黑龙滩)。50月生时,有78个家系的单株材积增长量超过总体家系平均值(0.08 m3),位于前三的家系是分别为2号(来自2号种源)、156号(来自福建天马东溪的10号种源)和93号(来自昆士兰州Bambaroo的8号种源)。50月生巨桉的胸径、树高、单株材积、干形、分枝和冠幅的遗传力分别为0.56、0.91、0.73、0.67、0.64和0.76;这些性状的表型变异系数分别为26.64%、29.37%、64.41%、17.58%、15.26%和45.80%;遗传变异系数分别为25.94%、24.30%、60.97%、28.59%、26.07%和42.96%。相关性分析表明,冠幅和分枝呈较小的负相关,其余各性状间均呈正相关性。结合生长指标和形质指标,最终筛选出4个优良种源和18个优良家系。
基金supported by grants from the National Natural Science Foundation of China(32321001 to Z.Z.and C.-B.X.and 32100208 to J.W.)the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA24010303)+1 种基金the Anhui Provincial Natural Science Foundation(2108085QC103)the Fundamental Research Funds for the Central Universities(WK9100000023).
文摘Grain weight,a key determinant of yield in rice(Oryza sativa L.),is governed primarily by genetic factors,whereas grain chalkiness,a detriment to grain quality,is intertwined with environmental factors such as mineral nutrients.Nitrogen(N)is recognized for its effect on grain chalkiness,but the underlying molecular mechanisms remain to be clarified.This study revealed the pivotal role of rice NODULE INCEPTION-LIKE PROTEIN 3(OsNLP3)in simultaneously regulating grain weight and grain chalkiness.Our investigation showed that loss of OsNLP3 leads to a reduction in both grain weight and dimension,in contrast to the enhancement observed with OsNLP3 overexpression.OsNLP3 directly suppresses the expression of OsCEP6.1 and OsNF-YA8,which were identified as negative regulators associated with grain weight.Consequently,two novel regulatory modules,OsNLP3-OsCEP6.1 and OsNLP3-OsNF-YA8,were identified as key players in grain weight regulation.Notably,the OsNLP3-OsNF-YA8 module not only increases grain weight but also mitigates grain chalkiness in response to N.This research clarifies the molecular mechanisms that orchestrate grain weight through the OsNLP3-OsCEP6.1 and OsNLP3-OsNF-YA8 modules,highlighting the pivotal role of the OsNLP3-OsNF-YA8 module in alleviating grain chalkiness.These findings reveal potential targets for simultaneous enhancement of rice yield and quality.
