Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lokhande, Lavanya, Kuci Emruli, Venera, Kolstad, Arne, Hutchings, Martin, Räty, Riikka, Jerkeman, Mats, Ek, Sara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
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
_version_ 1783619888464527360
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
work_keys_str_mv AT lokhandelavanya immunerelatedproteinsignatureinserumstratifyrelapsedmantlecelllymphomapatientsbasedonrisk
AT kuciemrulivenera immunerelatedproteinsignatureinserumstratifyrelapsedmantlecelllymphomapatientsbasedonrisk
AT kolstadarne immunerelatedproteinsignatureinserumstratifyrelapsedmantlecelllymphomapatientsbasedonrisk
AT hutchingsmartin immunerelatedproteinsignatureinserumstratifyrelapsedmantlecelllymphomapatientsbasedonrisk
AT ratyriikka immunerelatedproteinsignatureinserumstratifyrelapsedmantlecelllymphomapatientsbasedonrisk
AT jerkemanmats immunerelatedproteinsignatureinserumstratifyrelapsedmantlecelllymphomapatientsbasedonrisk
AT eksara immunerelatedproteinsignatureinserumstratifyrelapsedmantlecelllymphomapatientsbasedonrisk