Cargando…

Transcriptome profiling reveals an integrated mRNA–lncRNA signature with predictive value for long-term survival in diffuse large B-cell lymphoma

For patients with diffuse large B-cell lymphoma (DLBCL), survival at 24 months is a milestone for long-term survival. The purpose of this study was to develop a multigene risk score (MGRS) to refine the International Prognostic Index (IPI) model to identify patients with DLBCL at high risk of death...

Descripción completa

Detalles Bibliográficos
Autores principales: Gao, Qian, Li, Zhiyao, Meng, Lingxian, Ma, Jinsha, Xi, Yanfeng, Wang, Tong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746345/
https://www.ncbi.nlm.nih.gov/pubmed/33221755
http://dx.doi.org/10.18632/aging.104100
_version_ 1783624778959028224
author Gao, Qian
Li, Zhiyao
Meng, Lingxian
Ma, Jinsha
Xi, Yanfeng
Wang, Tong
author_facet Gao, Qian
Li, Zhiyao
Meng, Lingxian
Ma, Jinsha
Xi, Yanfeng
Wang, Tong
author_sort Gao, Qian
collection PubMed
description For patients with diffuse large B-cell lymphoma (DLBCL), survival at 24 months is a milestone for long-term survival. The purpose of this study was to develop a multigene risk score (MGRS) to refine the International Prognostic Index (IPI) model to identify patients with DLBCL at high risk of death within 24 months. Using a robust statistical strategy, we built a MGRS incorporating nine mRNAs and two lncRNAs. Stratification and multivariable Cox regression analysis confirmed the MGRS as an independent risk factor. A nomogram based on IPI+MGRS model was constructed and its calibration plot showed close agreement between predicted 2-year survival rate and observed rate. The 2-year AUC was bigger with the IPI+MGRS model (ΔAUC=0.162; 95%CI 0.1295–0.1903) than with the IPI model, and the IPI+MGRS model more accurately predicted the prognostic risk of DLBCL. The 2-year survival decision curve revealed the IPI+MGRS model was more useful clinically than the IPI model. Functional enrichment analysis showed that the MGRS correlated with cell cycle, DNA replication and repair. The results were validated using an independent external dataset. In conclusion, we successfully developed an integrated mRNA–lncRNA signature to refine the IPI model for predicting long-term survival of patients with DLBCL.
format Online
Article
Text
id pubmed-7746345
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Impact Journals
record_format MEDLINE/PubMed
spelling pubmed-77463452021-01-04 Transcriptome profiling reveals an integrated mRNA–lncRNA signature with predictive value for long-term survival in diffuse large B-cell lymphoma Gao, Qian Li, Zhiyao Meng, Lingxian Ma, Jinsha Xi, Yanfeng Wang, Tong Aging (Albany NY) Research Paper For patients with diffuse large B-cell lymphoma (DLBCL), survival at 24 months is a milestone for long-term survival. The purpose of this study was to develop a multigene risk score (MGRS) to refine the International Prognostic Index (IPI) model to identify patients with DLBCL at high risk of death within 24 months. Using a robust statistical strategy, we built a MGRS incorporating nine mRNAs and two lncRNAs. Stratification and multivariable Cox regression analysis confirmed the MGRS as an independent risk factor. A nomogram based on IPI+MGRS model was constructed and its calibration plot showed close agreement between predicted 2-year survival rate and observed rate. The 2-year AUC was bigger with the IPI+MGRS model (ΔAUC=0.162; 95%CI 0.1295–0.1903) than with the IPI model, and the IPI+MGRS model more accurately predicted the prognostic risk of DLBCL. The 2-year survival decision curve revealed the IPI+MGRS model was more useful clinically than the IPI model. Functional enrichment analysis showed that the MGRS correlated with cell cycle, DNA replication and repair. The results were validated using an independent external dataset. In conclusion, we successfully developed an integrated mRNA–lncRNA signature to refine the IPI model for predicting long-term survival of patients with DLBCL. Impact Journals 2020-11-18 /pmc/articles/PMC7746345/ /pubmed/33221755 http://dx.doi.org/10.18632/aging.104100 Text en Copyright: © 2020 Gao et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Gao, Qian
Li, Zhiyao
Meng, Lingxian
Ma, Jinsha
Xi, Yanfeng
Wang, Tong
Transcriptome profiling reveals an integrated mRNA–lncRNA signature with predictive value for long-term survival in diffuse large B-cell lymphoma
title Transcriptome profiling reveals an integrated mRNA–lncRNA signature with predictive value for long-term survival in diffuse large B-cell lymphoma
title_full Transcriptome profiling reveals an integrated mRNA–lncRNA signature with predictive value for long-term survival in diffuse large B-cell lymphoma
title_fullStr Transcriptome profiling reveals an integrated mRNA–lncRNA signature with predictive value for long-term survival in diffuse large B-cell lymphoma
title_full_unstemmed Transcriptome profiling reveals an integrated mRNA–lncRNA signature with predictive value for long-term survival in diffuse large B-cell lymphoma
title_short Transcriptome profiling reveals an integrated mRNA–lncRNA signature with predictive value for long-term survival in diffuse large B-cell lymphoma
title_sort transcriptome profiling reveals an integrated mrna–lncrna signature with predictive value for long-term survival in diffuse large b-cell lymphoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746345/
https://www.ncbi.nlm.nih.gov/pubmed/33221755
http://dx.doi.org/10.18632/aging.104100
work_keys_str_mv AT gaoqian transcriptomeprofilingrevealsanintegratedmrnalncrnasignaturewithpredictivevalueforlongtermsurvivalindiffuselargebcelllymphoma
AT lizhiyao transcriptomeprofilingrevealsanintegratedmrnalncrnasignaturewithpredictivevalueforlongtermsurvivalindiffuselargebcelllymphoma
AT menglingxian transcriptomeprofilingrevealsanintegratedmrnalncrnasignaturewithpredictivevalueforlongtermsurvivalindiffuselargebcelllymphoma
AT majinsha transcriptomeprofilingrevealsanintegratedmrnalncrnasignaturewithpredictivevalueforlongtermsurvivalindiffuselargebcelllymphoma
AT xiyanfeng transcriptomeprofilingrevealsanintegratedmrnalncrnasignaturewithpredictivevalueforlongtermsurvivalindiffuselargebcelllymphoma
AT wangtong transcriptomeprofilingrevealsanintegratedmrnalncrnasignaturewithpredictivevalueforlongtermsurvivalindiffuselargebcelllymphoma