BACKGROUND Investigating molecular biomarkers that accurately predict prognosis is of considerable clinical significance.Accumulating evidence suggests that long noncoding ribonucleic acids(lncRNAs)are frequently aber...BACKGROUND Investigating molecular biomarkers that accurately predict prognosis is of considerable clinical significance.Accumulating evidence suggests that long noncoding ribonucleic acids(lncRNAs)are frequently aberrantly expressed in colorectal cancer(CRC).AIM To elucidate the prognostic function of multiple lncRNAs serving as biomarkers in CRC.METHODS We performed lncRNA expression profiling using the lncRNA mining approach in large CRC cohorts from The Cancer Genome Atlas(TCGA)database.Receiver operating characteristic analysis was performed to identify the optimal cutoff point at which patients could be classified into the high-risk or low-risk groups.Based on the Cox coefficient of the individual lncRNAs,we identified a ninelncRNA signature that was associated with the survival of CRC patients in the training set(n=175).The prognostic value of this nine-lncRNA signature was validated in the testing set(n=174)and TCGA set(n=349).The prognostic models,consisting of these nine CRC-specific lncRNAs,performed well for risk stratification in the testing set and TCGA set.Time-dependent receiver operating characteristic analysis indicated that this predictive model had good performance.RESULTS Multivariate Cox regression and stratification analysis demonstrated that this nine-lncRNA signature was independent of other clinical features in predicting overall survival.Functional enrichment analysis of Kyoto Encyclopedia of Genes and Genomes pathways and Gene Ontology terms further indicated that these nine prognostic lncRNAs were closely associated with carcinogenesis-associated pathways and biological functions in CRC.CONCLUSION A nine-lncRNA expression signature was identified and validated that could improve the prognosis prediction of CRC,thereby providing potential prognostic biomarkers and efficient therapeutic targets for patients with CRC.展开更多
Background:The risk of lymph-node metastasis(LNM)in T1 colorectal cancer(CRC)has not been well documented in heterogeneous Western populations.This study investigated the predictors of LNM and the long-term outcomes o...Background:The risk of lymph-node metastasis(LNM)in T1 colorectal cancer(CRC)has not been well documented in heterogeneous Western populations.This study investigated the predictors of LNM and the long-term outcomes of patients by analysing T1 CRC surgical specimens and patients’demographic data.Methods:Patients with surgically resected T1 CRC between 2004 and 2014 were identified from the Surveillance,Epidemiology,and End Results(SEER)database.Patients with multiple primary cancers,with neoadjuvant therapy,or without a confirmed histopathological diagnosis were excluded.Multivariate logistic-regression analysis was used to identify the predictors of LNM.Results:Of the 22,319 patients,10.6%had a positive lymph-node status based on the final pathology(nodal category:N19.6%,N21.0%).Younger age,female sex,Asian or African-American ethnicity,poor differentiation,and tumor site outside the rectum were significantly associated with LNM.Subgroup analyses for patients stratified by tumor site suggested that the rate of positive lymph-node status was the lowest in the rectum(hazard ratio:0.74;95%confidence interval:0.63–0.86).Conclusion:The risk of LNM was potentially lower in Caucasian patients than in API or African-American patients with surgically resected T1 CRC.Regarding the T1 CRC site,the rectum was associated with a lower risk of LNM.展开更多
基金National Natural Science Foundation of China,No.81860433the Natural Science Youth Foundation of Jiangxi Province,No.20192BAB215036+2 种基金the Foundation for Fostering Young Scholar of Nanchang University,No.PY201822National Natural Science Foundation of China,No.81960359the Key Technology Research and Development Program of Jiangxi Province,No.20202BBG73024.
文摘BACKGROUND Investigating molecular biomarkers that accurately predict prognosis is of considerable clinical significance.Accumulating evidence suggests that long noncoding ribonucleic acids(lncRNAs)are frequently aberrantly expressed in colorectal cancer(CRC).AIM To elucidate the prognostic function of multiple lncRNAs serving as biomarkers in CRC.METHODS We performed lncRNA expression profiling using the lncRNA mining approach in large CRC cohorts from The Cancer Genome Atlas(TCGA)database.Receiver operating characteristic analysis was performed to identify the optimal cutoff point at which patients could be classified into the high-risk or low-risk groups.Based on the Cox coefficient of the individual lncRNAs,we identified a ninelncRNA signature that was associated with the survival of CRC patients in the training set(n=175).The prognostic value of this nine-lncRNA signature was validated in the testing set(n=174)and TCGA set(n=349).The prognostic models,consisting of these nine CRC-specific lncRNAs,performed well for risk stratification in the testing set and TCGA set.Time-dependent receiver operating characteristic analysis indicated that this predictive model had good performance.RESULTS Multivariate Cox regression and stratification analysis demonstrated that this nine-lncRNA signature was independent of other clinical features in predicting overall survival.Functional enrichment analysis of Kyoto Encyclopedia of Genes and Genomes pathways and Gene Ontology terms further indicated that these nine prognostic lncRNAs were closely associated with carcinogenesis-associated pathways and biological functions in CRC.CONCLUSION A nine-lncRNA expression signature was identified and validated that could improve the prognosis prediction of CRC,thereby providing potential prognostic biomarkers and efficient therapeutic targets for patients with CRC.
基金supported by the National Natural Science Foundation of China[grant numbers 81860433,81860466]the Guangdong Provincial Science and Technology Plan and Jiangxi Provincial Science and Technology Plan[grant numbers 2017A020215036,20192BAB215036]+3 种基金the National Natural Science Foundation of China[Grant Number:81860433]Training Plan for Academic and Technical Young Leaders of Major Disciplines in Jiangxi Province[Grant Number:20204BCJ23021]the Key Technology Research and Development Program of Jiangxi Province[Grant Number:20202BBG73024]the Foundation for Fostering Young Scholar of Nanchang Universiy[Grant Number:PY201822].
文摘Background:The risk of lymph-node metastasis(LNM)in T1 colorectal cancer(CRC)has not been well documented in heterogeneous Western populations.This study investigated the predictors of LNM and the long-term outcomes of patients by analysing T1 CRC surgical specimens and patients’demographic data.Methods:Patients with surgically resected T1 CRC between 2004 and 2014 were identified from the Surveillance,Epidemiology,and End Results(SEER)database.Patients with multiple primary cancers,with neoadjuvant therapy,or without a confirmed histopathological diagnosis were excluded.Multivariate logistic-regression analysis was used to identify the predictors of LNM.Results:Of the 22,319 patients,10.6%had a positive lymph-node status based on the final pathology(nodal category:N19.6%,N21.0%).Younger age,female sex,Asian or African-American ethnicity,poor differentiation,and tumor site outside the rectum were significantly associated with LNM.Subgroup analyses for patients stratified by tumor site suggested that the rate of positive lymph-node status was the lowest in the rectum(hazard ratio:0.74;95%confidence interval:0.63–0.86).Conclusion:The risk of LNM was potentially lower in Caucasian patients than in API or African-American patients with surgically resected T1 CRC.Regarding the T1 CRC site,the rectum was associated with a lower risk of LNM.
