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Development of new prognostic model based on pretreatment βLRI and LLRI for stage IE/IIE upper aerodigestive tract ENKTL, nasal type

To identify simple non-invasive prognostic factors for extranodal natural killer/T cell lymphoma (ENKTL), we have investigated the prognostic value of pretreatment β2-microglobin to lymphocytes ratio index (βLRI) or lactate dehydrogenase to lymphocytes ratio index (LLRI), by analyzing the retrospect...

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Autores principales: Dai, Wumin, Jia, Bo, Yang, Jianliang, Zhou, Shengyu, Liu, Peng, He, Xiaohui, Qin, Yan, Gui, Lin, Zhang, Changgong, Han, Xiaohong, Sun, Yan, Shi, Yuankai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5471011/
https://www.ncbi.nlm.nih.gov/pubmed/28410236
http://dx.doi.org/10.18632/oncotarget.16720
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author Dai, Wumin
Jia, Bo
Yang, Jianliang
Zhou, Shengyu
Liu, Peng
He, Xiaohui
Qin, Yan
Gui, Lin
Zhang, Changgong
Han, Xiaohong
Sun, Yan
Shi, Yuankai
author_facet Dai, Wumin
Jia, Bo
Yang, Jianliang
Zhou, Shengyu
Liu, Peng
He, Xiaohui
Qin, Yan
Gui, Lin
Zhang, Changgong
Han, Xiaohong
Sun, Yan
Shi, Yuankai
author_sort Dai, Wumin
collection PubMed
description To identify simple non-invasive prognostic factors for extranodal natural killer/T cell lymphoma (ENKTL), we have investigated the prognostic value of pretreatment β2-microglobin to lymphocytes ratio index (βLRI) or lactate dehydrogenase to lymphocytes ratio index (LLRI), by analyzing the retrospective data from 211 ENKTL patients. Receiver operating characteristic (ROC) curve analysis was performed to determine the cut-off value of pretreatment βLRI and LLRI. The univariate analysis indicated that Ann Arbor Stage (p = 0.008), Eastern Cooperative Oncology Group score (ECOG) (p = 0.009), International Prognostic Index (IPI) (p = 0.023), βLRI (p = 0.003), LLRI (p = 0.04), neutrophil-lymphocyte ratio index (p = 0.025) and monocyte/granulocyte to lymphocyte ratio (p = 0.030) were significantly associated with overall survival (OS) in ENKTL patients. However, multivariate analysis demonstrated that only Ann Arbor Stage (p = 0.028), βLRI (p < 0.001) and LLRI (p = 0.006) were only correlated independently with OS. Furthermore, βLRI and LLRI based new prognostic model showed improved discrimination for stage IE/IIE upper aerodigestive tract in ENKTL patients than IPI and Korean Prognostic Index. Overall, our study concluded that new βLRI-based prognosis model is useful to stratify ENKTL patients and higher βLRI and LLRI can act as independent prognostic predictor candidates in early stage ENKTL.
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spelling pubmed-54710112017-06-27 Development of new prognostic model based on pretreatment βLRI and LLRI for stage IE/IIE upper aerodigestive tract ENKTL, nasal type Dai, Wumin Jia, Bo Yang, Jianliang Zhou, Shengyu Liu, Peng He, Xiaohui Qin, Yan Gui, Lin Zhang, Changgong Han, Xiaohong Sun, Yan Shi, Yuankai Oncotarget Research Paper To identify simple non-invasive prognostic factors for extranodal natural killer/T cell lymphoma (ENKTL), we have investigated the prognostic value of pretreatment β2-microglobin to lymphocytes ratio index (βLRI) or lactate dehydrogenase to lymphocytes ratio index (LLRI), by analyzing the retrospective data from 211 ENKTL patients. Receiver operating characteristic (ROC) curve analysis was performed to determine the cut-off value of pretreatment βLRI and LLRI. The univariate analysis indicated that Ann Arbor Stage (p = 0.008), Eastern Cooperative Oncology Group score (ECOG) (p = 0.009), International Prognostic Index (IPI) (p = 0.023), βLRI (p = 0.003), LLRI (p = 0.04), neutrophil-lymphocyte ratio index (p = 0.025) and monocyte/granulocyte to lymphocyte ratio (p = 0.030) were significantly associated with overall survival (OS) in ENKTL patients. However, multivariate analysis demonstrated that only Ann Arbor Stage (p = 0.028), βLRI (p < 0.001) and LLRI (p = 0.006) were only correlated independently with OS. Furthermore, βLRI and LLRI based new prognostic model showed improved discrimination for stage IE/IIE upper aerodigestive tract in ENKTL patients than IPI and Korean Prognostic Index. Overall, our study concluded that new βLRI-based prognosis model is useful to stratify ENKTL patients and higher βLRI and LLRI can act as independent prognostic predictor candidates in early stage ENKTL. Impact Journals LLC 2017-03-30 /pmc/articles/PMC5471011/ /pubmed/28410236 http://dx.doi.org/10.18632/oncotarget.16720 Text en Copyright: © 2017 Dai et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Dai, Wumin
Jia, Bo
Yang, Jianliang
Zhou, Shengyu
Liu, Peng
He, Xiaohui
Qin, Yan
Gui, Lin
Zhang, Changgong
Han, Xiaohong
Sun, Yan
Shi, Yuankai
Development of new prognostic model based on pretreatment βLRI and LLRI for stage IE/IIE upper aerodigestive tract ENKTL, nasal type
title Development of new prognostic model based on pretreatment βLRI and LLRI for stage IE/IIE upper aerodigestive tract ENKTL, nasal type
title_full Development of new prognostic model based on pretreatment βLRI and LLRI for stage IE/IIE upper aerodigestive tract ENKTL, nasal type
title_fullStr Development of new prognostic model based on pretreatment βLRI and LLRI for stage IE/IIE upper aerodigestive tract ENKTL, nasal type
title_full_unstemmed Development of new prognostic model based on pretreatment βLRI and LLRI for stage IE/IIE upper aerodigestive tract ENKTL, nasal type
title_short Development of new prognostic model based on pretreatment βLRI and LLRI for stage IE/IIE upper aerodigestive tract ENKTL, nasal type
title_sort development of new prognostic model based on pretreatment βlri and llri for stage ie/iie upper aerodigestive tract enktl, nasal type
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5471011/
https://www.ncbi.nlm.nih.gov/pubmed/28410236
http://dx.doi.org/10.18632/oncotarget.16720
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