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Recent progress of prognostic biomarkers and risk scoring systems in chronic lymphocytic leukemia
Chronic lymphocytic leukemia (CLL) is the most prevalent adult leukemia with high heterogeneity in the western world. Thus, investigators identified a number of prognostic biomarkers and scoring systems to guide treatment decisions and validated them in the context of immunochemotherapy. A better un...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487566/ https://www.ncbi.nlm.nih.gov/pubmed/32939265 http://dx.doi.org/10.1186/s40364-020-00222-3 |
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author | Yun, Xiaoya Zhang, Ya Wang, Xin |
author_facet | Yun, Xiaoya Zhang, Ya Wang, Xin |
author_sort | Yun, Xiaoya |
collection | PubMed |
description | Chronic lymphocytic leukemia (CLL) is the most prevalent adult leukemia with high heterogeneity in the western world. Thus, investigators identified a number of prognostic biomarkers and scoring systems to guide treatment decisions and validated them in the context of immunochemotherapy. A better understanding of prognostic biomarkers, including serum markers, flow cytometry outcomes, IGHV mutation status, microRNAs, chromosome aberrations and gene mutations, have contributed to prognosis in CLL. Del17p/ TP53 mutation, NOTCH1 mutation, CD49d, IGHV mutation status, complex karyotypes and microRNAs were reported to be of predictive values to guide clinical decisions. Based on the biomarkers above, classic prognostic models, such as the Rai and Binet staging systems, MDACC nomogram, GCLLSG model and CLL-IPI, were developed to improve risk stratification and tailor treatment intensity. Considering the presence of novel agents, many investigators validated the conventional prognostic biomarkers in the setting of novel agents and only TP53 mutation status/del 17p and CD49d expression were reported to be of prognostic value. Whether other prognostic indicators and models can be used in the context of novel agents, further studies are required. |
format | Online Article Text |
id | pubmed-7487566 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74875662020-09-15 Recent progress of prognostic biomarkers and risk scoring systems in chronic lymphocytic leukemia Yun, Xiaoya Zhang, Ya Wang, Xin Biomark Res Review Chronic lymphocytic leukemia (CLL) is the most prevalent adult leukemia with high heterogeneity in the western world. Thus, investigators identified a number of prognostic biomarkers and scoring systems to guide treatment decisions and validated them in the context of immunochemotherapy. A better understanding of prognostic biomarkers, including serum markers, flow cytometry outcomes, IGHV mutation status, microRNAs, chromosome aberrations and gene mutations, have contributed to prognosis in CLL. Del17p/ TP53 mutation, NOTCH1 mutation, CD49d, IGHV mutation status, complex karyotypes and microRNAs were reported to be of predictive values to guide clinical decisions. Based on the biomarkers above, classic prognostic models, such as the Rai and Binet staging systems, MDACC nomogram, GCLLSG model and CLL-IPI, were developed to improve risk stratification and tailor treatment intensity. Considering the presence of novel agents, many investigators validated the conventional prognostic biomarkers in the setting of novel agents and only TP53 mutation status/del 17p and CD49d expression were reported to be of prognostic value. Whether other prognostic indicators and models can be used in the context of novel agents, further studies are required. BioMed Central 2020-09-07 /pmc/articles/PMC7487566/ /pubmed/32939265 http://dx.doi.org/10.1186/s40364-020-00222-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Yun, Xiaoya Zhang, Ya Wang, Xin Recent progress of prognostic biomarkers and risk scoring systems in chronic lymphocytic leukemia |
title | Recent progress of prognostic biomarkers and risk scoring systems in chronic lymphocytic leukemia |
title_full | Recent progress of prognostic biomarkers and risk scoring systems in chronic lymphocytic leukemia |
title_fullStr | Recent progress of prognostic biomarkers and risk scoring systems in chronic lymphocytic leukemia |
title_full_unstemmed | Recent progress of prognostic biomarkers and risk scoring systems in chronic lymphocytic leukemia |
title_short | Recent progress of prognostic biomarkers and risk scoring systems in chronic lymphocytic leukemia |
title_sort | recent progress of prognostic biomarkers and risk scoring systems in chronic lymphocytic leukemia |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487566/ https://www.ncbi.nlm.nih.gov/pubmed/32939265 http://dx.doi.org/10.1186/s40364-020-00222-3 |
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