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Immune-related protein signature in serum stratify relapsed mantle cell lymphoma patients based on risk
BACKGROUND: Response to modern treatment strategies, which combine cytotoxic compounds with immune stimulatory agents and targeted treatment is highly variable among MCL patients. Thus, providing prognostic and predictive markers for risk adapted therapy is warranted and molecular information that c...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7720632/ https://www.ncbi.nlm.nih.gov/pubmed/33287742 http://dx.doi.org/10.1186/s12885-020-07678-4 |
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author | Lokhande, Lavanya Kuci Emruli, Venera Kolstad, Arne Hutchings, Martin Räty, Riikka Jerkeman, Mats Ek, Sara |
author_facet | Lokhande, Lavanya Kuci Emruli, Venera Kolstad, Arne Hutchings, Martin Räty, Riikka Jerkeman, Mats Ek, Sara |
author_sort | Lokhande, Lavanya |
collection | PubMed |
description | BACKGROUND: Response to modern treatment strategies, which combine cytotoxic compounds with immune stimulatory agents and targeted treatment is highly variable among MCL patients. Thus, providing prognostic and predictive markers for risk adapted therapy is warranted and molecular information that can help in patient stratification is a necessity. In relapsed MCL, biopsies are rarely available and molecular information from tumor tissue is often lacking. Today, the main tool to access risk is the MCL international prognostic index (MIPI), which does not include detailed biological information of relevance for different treatment options. To enable continuous monitoring of patients, non-invasive companion diagnostic tools are needed which can further reduce cost and patient distress and enable efficient measurements of biological markers. METHODS: We have assessed if serum-based protein profiling can identify immune related proteins that stratify relapsed MCL patients based on risk. Overall, 371 scFv targeting 158 proteins were assessed using an antibody microarray platform. We profiled patients (n = 44) who had been treated within the MCL6-Philemon trial combining targeted and immune-modulatory treatment. RESULTS: The downstream processing led to the identification of the relapsed immune signature (RIS) consisting of 11 proteins with potential to stratify patients with long and short overall survival (OS). Moreover, in this population, MIPI alone failed to separate high, intermediate and low risk patients, but a combined index based on MIPI together with RIS, MIPI(ris), showed improved performance and significantly stratified all three risk groups based on OS. CONCLUSIONS: Our results show that addition of biological parameters to previous prognostic indices improves patient stratification among patients treated with BTK inhibitor triplet combination, particularly, in the identification of an extreme high risk group. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-020-07678-4. |
format | Online Article Text |
id | pubmed-7720632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-77206322020-12-08 Immune-related protein signature in serum stratify relapsed mantle cell lymphoma patients based on risk Lokhande, Lavanya Kuci Emruli, Venera Kolstad, Arne Hutchings, Martin Räty, Riikka Jerkeman, Mats Ek, Sara BMC Cancer Research Article BACKGROUND: Response to modern treatment strategies, which combine cytotoxic compounds with immune stimulatory agents and targeted treatment is highly variable among MCL patients. Thus, providing prognostic and predictive markers for risk adapted therapy is warranted and molecular information that can help in patient stratification is a necessity. In relapsed MCL, biopsies are rarely available and molecular information from tumor tissue is often lacking. Today, the main tool to access risk is the MCL international prognostic index (MIPI), which does not include detailed biological information of relevance for different treatment options. To enable continuous monitoring of patients, non-invasive companion diagnostic tools are needed which can further reduce cost and patient distress and enable efficient measurements of biological markers. METHODS: We have assessed if serum-based protein profiling can identify immune related proteins that stratify relapsed MCL patients based on risk. Overall, 371 scFv targeting 158 proteins were assessed using an antibody microarray platform. We profiled patients (n = 44) who had been treated within the MCL6-Philemon trial combining targeted and immune-modulatory treatment. RESULTS: The downstream processing led to the identification of the relapsed immune signature (RIS) consisting of 11 proteins with potential to stratify patients with long and short overall survival (OS). Moreover, in this population, MIPI alone failed to separate high, intermediate and low risk patients, but a combined index based on MIPI together with RIS, MIPI(ris), showed improved performance and significantly stratified all three risk groups based on OS. CONCLUSIONS: Our results show that addition of biological parameters to previous prognostic indices improves patient stratification among patients treated with BTK inhibitor triplet combination, particularly, in the identification of an extreme high risk group. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-020-07678-4. BioMed Central 2020-12-07 /pmc/articles/PMC7720632/ /pubmed/33287742 http://dx.doi.org/10.1186/s12885-020-07678-4 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 | Research Article Lokhande, Lavanya Kuci Emruli, Venera Kolstad, Arne Hutchings, Martin Räty, Riikka Jerkeman, Mats Ek, Sara Immune-related protein signature in serum stratify relapsed mantle cell lymphoma patients based on risk |
title | Immune-related protein signature in serum stratify relapsed mantle cell lymphoma patients based on risk |
title_full | Immune-related protein signature in serum stratify relapsed mantle cell lymphoma patients based on risk |
title_fullStr | Immune-related protein signature in serum stratify relapsed mantle cell lymphoma patients based on risk |
title_full_unstemmed | Immune-related protein signature in serum stratify relapsed mantle cell lymphoma patients based on risk |
title_short | Immune-related protein signature in serum stratify relapsed mantle cell lymphoma patients based on risk |
title_sort | immune-related protein signature in serum stratify relapsed mantle cell lymphoma patients based on risk |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7720632/ https://www.ncbi.nlm.nih.gov/pubmed/33287742 http://dx.doi.org/10.1186/s12885-020-07678-4 |
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