BACKGROUND Endometrial cancer(EC)is a common gynecological malignancy that typically requires prompt surgical intervention;however,the advantage of surgical management is limited by the high postoperative recurrence r...BACKGROUND Endometrial cancer(EC)is a common gynecological malignancy that typically requires prompt surgical intervention;however,the advantage of surgical management is limited by the high postoperative recurrence rates and adverse outcomes.Previous studies have highlighted the prognostic potential of circulating tumor DNA(ctDNA)monitoring for minimal residual disease in patients with EC.AIM To develop and validate an optimized ctDNA-based model for predicting shortterm postoperative EC recurrence.METHODS We retrospectively analyzed 294 EC patients treated surgically from 2015-2019 to devise a short-term recurrence prediction model,which was validated on 143 EC patients operated between 2020 and 2021.Prognostic factors were identified using univariate Cox,Lasso,and multivariate Cox regressions.A nomogram was created to predict the 1,1.5,and 2-year recurrence-free survival(RFS).Model performance was assessed via receiver operating characteristic(ROC),calibration,and decision curve analyses(DCA),leading to a recurrence risk stratification system.RESULTS Based on the regression analysis and the nomogram created,patients with postoperative ctDNA-negativity,postoperative carcinoembryonic antigen 125(CA125)levels of<19 U/mL,and grade G1 tumors had improved RFS after surgery.The nomogram’s efficacy for recurrence prediction was confirmed through ROC analysis,calibration curves,and DCA methods,highlighting its high accuracy and clinical utility.Furthermore,using the nomogram,the patients were successfully classified into three risk subgroups.CONCLUSION The nomogram accurately predicted RFS after EC surgery at 1,1.5,and 2 years.This model will help clinicians personalize treatments,stratify risks,and enhance clinical outcomes for patients with EC.展开更多
柳树具观赏、生物修复、生物能源等多种功能,对其开展DNA条形码评估在种质资源保护和利用方面具有非常重要的应用价值。通过对柳树样品进行ITS、ITS2、matK、rbcL和rpoC1片段扩增和测序,结合GenBank数据,共获得柳树22个种,63份样品共计...柳树具观赏、生物修复、生物能源等多种功能,对其开展DNA条形码评估在种质资源保护和利用方面具有非常重要的应用价值。通过对柳树样品进行ITS、ITS2、matK、rbcL和rpoC1片段扩增和测序,结合GenBank数据,共获得柳树22个种,63份样品共计396条序列。比较了5个DNA片段的通用性、序列特征、种内和种间变异,并基于Best Match(BM)、Best Close Match(BCM)、BLAST及Neighbor Joining(NJ)4种方法评估DNA条形码在柳树中的鉴定能力。结果表明,5个DNA条形码中,ITS在柳树种扩增效率和测序成功率高,种内和种间遗传变异明显,鉴定效率最高,建议作为首选的单位点DNA条形码;3个条形码组合中,ITS+ITS2+rbcL鉴定成功率最高,为78.16%,4个DNA条形码组合中,ITS+ITS2+matK+rbcL物种鉴别成功率最高,为88.28%,建议ITS+ITS2+matK+rbcL作为柳树分子鉴定最优条形码组合。展开更多
文摘BACKGROUND Endometrial cancer(EC)is a common gynecological malignancy that typically requires prompt surgical intervention;however,the advantage of surgical management is limited by the high postoperative recurrence rates and adverse outcomes.Previous studies have highlighted the prognostic potential of circulating tumor DNA(ctDNA)monitoring for minimal residual disease in patients with EC.AIM To develop and validate an optimized ctDNA-based model for predicting shortterm postoperative EC recurrence.METHODS We retrospectively analyzed 294 EC patients treated surgically from 2015-2019 to devise a short-term recurrence prediction model,which was validated on 143 EC patients operated between 2020 and 2021.Prognostic factors were identified using univariate Cox,Lasso,and multivariate Cox regressions.A nomogram was created to predict the 1,1.5,and 2-year recurrence-free survival(RFS).Model performance was assessed via receiver operating characteristic(ROC),calibration,and decision curve analyses(DCA),leading to a recurrence risk stratification system.RESULTS Based on the regression analysis and the nomogram created,patients with postoperative ctDNA-negativity,postoperative carcinoembryonic antigen 125(CA125)levels of<19 U/mL,and grade G1 tumors had improved RFS after surgery.The nomogram’s efficacy for recurrence prediction was confirmed through ROC analysis,calibration curves,and DCA methods,highlighting its high accuracy and clinical utility.Furthermore,using the nomogram,the patients were successfully classified into three risk subgroups.CONCLUSION The nomogram accurately predicted RFS after EC surgery at 1,1.5,and 2 years.This model will help clinicians personalize treatments,stratify risks,and enhance clinical outcomes for patients with EC.
文摘柳树具观赏、生物修复、生物能源等多种功能,对其开展DNA条形码评估在种质资源保护和利用方面具有非常重要的应用价值。通过对柳树样品进行ITS、ITS2、matK、rbcL和rpoC1片段扩增和测序,结合GenBank数据,共获得柳树22个种,63份样品共计396条序列。比较了5个DNA片段的通用性、序列特征、种内和种间变异,并基于Best Match(BM)、Best Close Match(BCM)、BLAST及Neighbor Joining(NJ)4种方法评估DNA条形码在柳树中的鉴定能力。结果表明,5个DNA条形码中,ITS在柳树种扩增效率和测序成功率高,种内和种间遗传变异明显,鉴定效率最高,建议作为首选的单位点DNA条形码;3个条形码组合中,ITS+ITS2+rbcL鉴定成功率最高,为78.16%,4个DNA条形码组合中,ITS+ITS2+matK+rbcL物种鉴别成功率最高,为88.28%,建议ITS+ITS2+matK+rbcL作为柳树分子鉴定最优条形码组合。
