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Follicular Lymphoma in China: Systematic Evaluation of Follicular Lymphoma Prognostic Models
OBJECTS: To systematically evaluate the baseline characteristics, tumour microenvironment indicators such as the lymphocyte/monocyte ratio (LMR) and treatment response (POD24) as prognostic predictors of follicular lymphoma (FL) among Chinese patients. METHODS: We retrospectively analysed 112 FL pat...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Dove
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005237/ https://www.ncbi.nlm.nih.gov/pubmed/35422658 http://dx.doi.org/10.2147/CMAR.S349193 |
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author | Li, Yanan Zhang, Yan Wang, Wei Wei, Chong Zhao, Danqing Zhang, Wei |
author_facet | Li, Yanan Zhang, Yan Wang, Wei Wei, Chong Zhao, Danqing Zhang, Wei |
author_sort | Li, Yanan |
collection | PubMed |
description | OBJECTS: To systematically evaluate the baseline characteristics, tumour microenvironment indicators such as the lymphocyte/monocyte ratio (LMR) and treatment response (POD24) as prognostic predictors of follicular lymphoma (FL) among Chinese patients. METHODS: We retrospectively analysed 112 FL patients from 2000 to 2017, whose pathology grading included 1–3a. Absolute lymphocyte and monocyte counts were determined by cell blood counting. The Kaplan–Meier method was used to analyse the influence of prognostic predictors on progression-free survival (PFS) and overall survival (OS). Multivariate analysis was conducted using the Cox proportional risk model. RESULTS: The long-term survival of Chinese FL patients (median PFS, 74.8 months) was slightly better than that of patients in foreign countries. Among several prognostic models, the Follicular Lymphoma International Prognostic Index (FLIPI) score had a significant effect on both PFS and OS, while there were no independent prognostic predictors. Patients with LMR ≤3.6, ALC ≤0.6*10(9)/L and AMC >0.6*10(9)/L had worse OS, among which LMR was an independent indicator of OS. The POD24 subgroup had a higher frequency of high-risk patients according to FLIPI and FLIPI2 scores (63.0% vs 35.1%, P = 0.013 and 18.5% vs 3.9%, P = 0.003) and had an markedly shorter OS (P < 0.0001). CONCLUSION: This study is a systematic prognostic evaluation based on Chinese clinical data. We found a new factor, the LMR, that could independently predict prognosis compared with FLIPI or FLIPI2. |
format | Online Article Text |
id | pubmed-9005237 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-90052372022-04-13 Follicular Lymphoma in China: Systematic Evaluation of Follicular Lymphoma Prognostic Models Li, Yanan Zhang, Yan Wang, Wei Wei, Chong Zhao, Danqing Zhang, Wei Cancer Manag Res Original Research OBJECTS: To systematically evaluate the baseline characteristics, tumour microenvironment indicators such as the lymphocyte/monocyte ratio (LMR) and treatment response (POD24) as prognostic predictors of follicular lymphoma (FL) among Chinese patients. METHODS: We retrospectively analysed 112 FL patients from 2000 to 2017, whose pathology grading included 1–3a. Absolute lymphocyte and monocyte counts were determined by cell blood counting. The Kaplan–Meier method was used to analyse the influence of prognostic predictors on progression-free survival (PFS) and overall survival (OS). Multivariate analysis was conducted using the Cox proportional risk model. RESULTS: The long-term survival of Chinese FL patients (median PFS, 74.8 months) was slightly better than that of patients in foreign countries. Among several prognostic models, the Follicular Lymphoma International Prognostic Index (FLIPI) score had a significant effect on both PFS and OS, while there were no independent prognostic predictors. Patients with LMR ≤3.6, ALC ≤0.6*10(9)/L and AMC >0.6*10(9)/L had worse OS, among which LMR was an independent indicator of OS. The POD24 subgroup had a higher frequency of high-risk patients according to FLIPI and FLIPI2 scores (63.0% vs 35.1%, P = 0.013 and 18.5% vs 3.9%, P = 0.003) and had an markedly shorter OS (P < 0.0001). CONCLUSION: This study is a systematic prognostic evaluation based on Chinese clinical data. We found a new factor, the LMR, that could independently predict prognosis compared with FLIPI or FLIPI2. Dove 2022-04-08 /pmc/articles/PMC9005237/ /pubmed/35422658 http://dx.doi.org/10.2147/CMAR.S349193 Text en © 2022 Li et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Li, Yanan Zhang, Yan Wang, Wei Wei, Chong Zhao, Danqing Zhang, Wei Follicular Lymphoma in China: Systematic Evaluation of Follicular Lymphoma Prognostic Models |
title | Follicular Lymphoma in China: Systematic Evaluation of Follicular Lymphoma Prognostic Models |
title_full | Follicular Lymphoma in China: Systematic Evaluation of Follicular Lymphoma Prognostic Models |
title_fullStr | Follicular Lymphoma in China: Systematic Evaluation of Follicular Lymphoma Prognostic Models |
title_full_unstemmed | Follicular Lymphoma in China: Systematic Evaluation of Follicular Lymphoma Prognostic Models |
title_short | Follicular Lymphoma in China: Systematic Evaluation of Follicular Lymphoma Prognostic Models |
title_sort | follicular lymphoma in china: systematic evaluation of follicular lymphoma prognostic models |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005237/ https://www.ncbi.nlm.nih.gov/pubmed/35422658 http://dx.doi.org/10.2147/CMAR.S349193 |
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