Cargando…
How to predict the outcome in mature T and NK cell lymphoma by currently used prognostic models?
To select an appropriate prognostic model in the treatment of mature T- and natural killer (NK) -cell lymphoma (peripheral T-cell lymphoma (PTCL) and NK-/T-cell lymphoma (NKTCL)) is crucial. This study investigated the usefulness of Ann Arbor staging classification International prognostic index (IP...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3483618/ https://www.ncbi.nlm.nih.gov/pubmed/23064741 http://dx.doi.org/10.1038/bcj.2012.23 |
_version_ | 1782248030298177536 |
---|---|
author | Lin, H-N Liu, C-Y Pai, J-T Chang, F-P Yang, C-F Yu, Y-B Hsiao, L-T Chiou, T-J Liu, J-H Gau, J-P Tzeng, C-H Chen, P-M Hong, Y-C |
author_facet | Lin, H-N Liu, C-Y Pai, J-T Chang, F-P Yang, C-F Yu, Y-B Hsiao, L-T Chiou, T-J Liu, J-H Gau, J-P Tzeng, C-H Chen, P-M Hong, Y-C |
author_sort | Lin, H-N |
collection | PubMed |
description | To select an appropriate prognostic model in the treatment of mature T- and natural killer (NK) -cell lymphoma (peripheral T-cell lymphoma (PTCL) and NK-/T-cell lymphoma (NKTCL)) is crucial. This study investigated the usefulness of Ann Arbor staging classification International prognostic index (IPI), prognostic index for T-cell lymphoma (PIT) and International peripheral T-cell lymphoma Project score (IPTCLP). Between 2000 and 2009, 176 patients (122 males) with PTCL and NKTCL were diagnosed and treated from a single institute in Taiwan. The correlation between complete response (CR) rate, 3-year overall survival (OS), early mortality rate and four prognostic models was analyzed. Thirty-one patients received hematopoietic stem cell transplantation (HSCT) and were analyzed separately. Three-year OS rate was 34.7%, and anaplastic large-cell lymphoma harbored better outcome than others. IPI score had the lowest Akaike information criterion value (1081.197) and was the best score in predicting OS and early mortality (P=0.009). Ann Arbor stage classification can predict CR rate more precisely (P=0.006). OS was significantly better in patients who received HSCT, even in patients with unfavorable features compared with chemotherapy alone. All prognostic models were useful to evaluate the outcome of patients with PTCL and NKTCL but IPI score did best in predicting OS in PTCL and PIT score in NKTCL. This study also supported the role of HSCT in patients with high-risk or refractory PTCL or NKTCL. |
format | Online Article Text |
id | pubmed-3483618 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-34836182012-10-30 How to predict the outcome in mature T and NK cell lymphoma by currently used prognostic models? Lin, H-N Liu, C-Y Pai, J-T Chang, F-P Yang, C-F Yu, Y-B Hsiao, L-T Chiou, T-J Liu, J-H Gau, J-P Tzeng, C-H Chen, P-M Hong, Y-C Blood Cancer J Original Article To select an appropriate prognostic model in the treatment of mature T- and natural killer (NK) -cell lymphoma (peripheral T-cell lymphoma (PTCL) and NK-/T-cell lymphoma (NKTCL)) is crucial. This study investigated the usefulness of Ann Arbor staging classification International prognostic index (IPI), prognostic index for T-cell lymphoma (PIT) and International peripheral T-cell lymphoma Project score (IPTCLP). Between 2000 and 2009, 176 patients (122 males) with PTCL and NKTCL were diagnosed and treated from a single institute in Taiwan. The correlation between complete response (CR) rate, 3-year overall survival (OS), early mortality rate and four prognostic models was analyzed. Thirty-one patients received hematopoietic stem cell transplantation (HSCT) and were analyzed separately. Three-year OS rate was 34.7%, and anaplastic large-cell lymphoma harbored better outcome than others. IPI score had the lowest Akaike information criterion value (1081.197) and was the best score in predicting OS and early mortality (P=0.009). Ann Arbor stage classification can predict CR rate more precisely (P=0.006). OS was significantly better in patients who received HSCT, even in patients with unfavorable features compared with chemotherapy alone. All prognostic models were useful to evaluate the outcome of patients with PTCL and NKTCL but IPI score did best in predicting OS in PTCL and PIT score in NKTCL. This study also supported the role of HSCT in patients with high-risk or refractory PTCL or NKTCL. Nature Publishing Group 2012-10 2012-10-12 /pmc/articles/PMC3483618/ /pubmed/23064741 http://dx.doi.org/10.1038/bcj.2012.23 Text en Copyright © 2012 Macmillan Publishers Limited http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under the Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Original Article Lin, H-N Liu, C-Y Pai, J-T Chang, F-P Yang, C-F Yu, Y-B Hsiao, L-T Chiou, T-J Liu, J-H Gau, J-P Tzeng, C-H Chen, P-M Hong, Y-C How to predict the outcome in mature T and NK cell lymphoma by currently used prognostic models? |
title | How to predict the outcome in mature T and NK cell lymphoma by currently used prognostic models? |
title_full | How to predict the outcome in mature T and NK cell lymphoma by currently used prognostic models? |
title_fullStr | How to predict the outcome in mature T and NK cell lymphoma by currently used prognostic models? |
title_full_unstemmed | How to predict the outcome in mature T and NK cell lymphoma by currently used prognostic models? |
title_short | How to predict the outcome in mature T and NK cell lymphoma by currently used prognostic models? |
title_sort | how to predict the outcome in mature t and nk cell lymphoma by currently used prognostic models? |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3483618/ https://www.ncbi.nlm.nih.gov/pubmed/23064741 http://dx.doi.org/10.1038/bcj.2012.23 |
work_keys_str_mv | AT linhn howtopredicttheoutcomeinmaturetandnkcelllymphomabycurrentlyusedprognosticmodels AT liucy howtopredicttheoutcomeinmaturetandnkcelllymphomabycurrentlyusedprognosticmodels AT paijt howtopredicttheoutcomeinmaturetandnkcelllymphomabycurrentlyusedprognosticmodels AT changfp howtopredicttheoutcomeinmaturetandnkcelllymphomabycurrentlyusedprognosticmodels AT yangcf howtopredicttheoutcomeinmaturetandnkcelllymphomabycurrentlyusedprognosticmodels AT yuyb howtopredicttheoutcomeinmaturetandnkcelllymphomabycurrentlyusedprognosticmodels AT hsiaolt howtopredicttheoutcomeinmaturetandnkcelllymphomabycurrentlyusedprognosticmodels AT chioutj howtopredicttheoutcomeinmaturetandnkcelllymphomabycurrentlyusedprognosticmodels AT liujh howtopredicttheoutcomeinmaturetandnkcelllymphomabycurrentlyusedprognosticmodels AT gaujp howtopredicttheoutcomeinmaturetandnkcelllymphomabycurrentlyusedprognosticmodels AT tzengch howtopredicttheoutcomeinmaturetandnkcelllymphomabycurrentlyusedprognosticmodels AT chenpm howtopredicttheoutcomeinmaturetandnkcelllymphomabycurrentlyusedprognosticmodels AT hongyc howtopredicttheoutcomeinmaturetandnkcelllymphomabycurrentlyusedprognosticmodels |