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Biomarker predictors of clinical efficacy of the anti-IgE biologic, omalizumab, in severe asthma in adults: results of the SoMOSA study

Biomarker predictors of clinical efficacy of the anti-IgE biologic, omalizumab, in severe asthma in adults: results of the SoMOSA study
Biomarker predictors of clinical efficacy of the anti-IgE biologic, omalizumab, in severe asthma in adults: results of the SoMOSA study
Background: the anti-IgE monoclonal, omalizumab, is widely used for severe asthma. This study aimed to identify biomarkers that predict clinical improvement during one year of omalizumab treatment.

Methods: 1-year, open-label, Study of Mechanisms of action of Omalizumab in Severe Asthma (SoMOSA) involving 216 severe (GINA step 4/5) uncontrolled atopic asthmatics (≥2 severe exacerbations in previous year) on high-dose inhaled corticosteroids, long-acting β-agonists, ± mOCS. It had two phases: 0-16 weeks, to assess early clinical improvement by Global Evaluation of Therapeutic Effectiveness (GETE), and 16-52 weeks, to assess late responses by ≥50% reduction in exacerbations or dose of maintenance oral corticosteroids (mOCS). All participants provided samples (exhaled breath, blood, sputum, urine) before and after 16 weeks of omalizumab treatment.

Results: 191 patients completed phase 1; 63% had early improvement. Of 173 who completed phase 2, 69% had reduced exacerbations by ≥50%, while 57% (37/65) on mOCS reduced their dose by ≥50%. The primary outcome 2, 3-dinor-11-β-PGF2α, GETE and standard clinical biomarkers (blood and sputum eosinophils, exhaled nitric oxide, serum IgE) did not predict either clinical response. Five breathomics (GC-MS) and 5 plasma lipid biomarkers strongly predicted the ≥50% reduction in exacerbations (receiver operating characteristic area under the curve (AUC): 0.780 and 0.922, respectively) and early responses (AUC:0.835 and 0.949, respectively). In independent cohorts, the GC-MS biomarkers differentiated between severe and mild asthma.

Conclusions: this is the first discovery of omics biomarkers that predict improvement to a biologic for asthma. Their prospective validation and development for clinical use is justified.

This article is open access and distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
1073-449X
288-297
Djukanović, Ratko
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Little, Louisa
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Oliver, Thomas
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Djukanović, Ratko, Brinkman, Paul, Kolmert, Johan, Gomez, Cristina, Schofield, James, Brandsma, Joost, Shapanis, Andy, Skipp, Paul J.S., Postle, Anthony, Wheelock, Craig, Dahlén, Sven-Erik, Sterk, Peter J., Brown, Thomas, Jackson, David J., Mansur, Adel, Pavord, Ian, Patel, Mitesh, Brightling, Christopher, Siddiqui, Salman, Bradding, Peter, Sabroe, Ian, Saralaya, Dinesh, Chishimba, Livingstone, Porter, Joanna, Robinson, Douglas, Fowler, Stephen J., Howarth, Peter H., Little, Louisa, Oliver, Thomas, Hill, Kayleigh, Stanton, Louise, Allen, Alexander, Ellis, Deborah, Griffiths, Gareth, Harrison, Tim, Akenroye, Ayobami, Lasky-Su, Jessica, Heaney, Liam, Chaudhuri, Rekha and Kurukulaaratchy, Ramesh (2024) Biomarker predictors of clinical efficacy of the anti-IgE biologic, omalizumab, in severe asthma in adults: results of the SoMOSA study. American Journal of Respiratory and Critical Care Medicine, 210 (3), 288-297. (doi:10.1164/rccm.202310-1730OC).

Record type: Article

Abstract

Background: the anti-IgE monoclonal, omalizumab, is widely used for severe asthma. This study aimed to identify biomarkers that predict clinical improvement during one year of omalizumab treatment.

Methods: 1-year, open-label, Study of Mechanisms of action of Omalizumab in Severe Asthma (SoMOSA) involving 216 severe (GINA step 4/5) uncontrolled atopic asthmatics (≥2 severe exacerbations in previous year) on high-dose inhaled corticosteroids, long-acting β-agonists, ± mOCS. It had two phases: 0-16 weeks, to assess early clinical improvement by Global Evaluation of Therapeutic Effectiveness (GETE), and 16-52 weeks, to assess late responses by ≥50% reduction in exacerbations or dose of maintenance oral corticosteroids (mOCS). All participants provided samples (exhaled breath, blood, sputum, urine) before and after 16 weeks of omalizumab treatment.

Results: 191 patients completed phase 1; 63% had early improvement. Of 173 who completed phase 2, 69% had reduced exacerbations by ≥50%, while 57% (37/65) on mOCS reduced their dose by ≥50%. The primary outcome 2, 3-dinor-11-β-PGF2α, GETE and standard clinical biomarkers (blood and sputum eosinophils, exhaled nitric oxide, serum IgE) did not predict either clinical response. Five breathomics (GC-MS) and 5 plasma lipid biomarkers strongly predicted the ≥50% reduction in exacerbations (receiver operating characteristic area under the curve (AUC): 0.780 and 0.922, respectively) and early responses (AUC:0.835 and 0.949, respectively). In independent cohorts, the GC-MS biomarkers differentiated between severe and mild asthma.

Conclusions: this is the first discovery of omics biomarkers that predict improvement to a biologic for asthma. Their prospective validation and development for clinical use is justified.

This article is open access and distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).

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djukanović-et-al-2024-biomarker-predictors-of-clinical-efficacy-of-the-anti-ige-biologic-omalizumab-in-severe-asthma-in - Accepted Manuscript
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Accepted/In Press date: 18 April 2024
e-pub ahead of print date: 18 April 2024
Published date: 18 April 2024

Identifiers

Local EPrints ID: 490069
URI: http://eprints.soton.ac.uk/id/eprint/490069
ISSN: 1073-449X
PURE UUID: 73ceebc6-8384-4567-a2eb-c660743c0573
ORCID for Ratko Djukanović: ORCID iD orcid.org/0000-0001-6039-5612
ORCID for Andy Shapanis: ORCID iD orcid.org/0000-0003-4147-6956
ORCID for Paul J.S. Skipp: ORCID iD orcid.org/0000-0002-2995-2959
ORCID for Anthony Postle: ORCID iD orcid.org/0000-0001-7361-0756
ORCID for Louise Stanton: ORCID iD orcid.org/0000-0001-8181-840X
ORCID for Gareth Griffiths: ORCID iD orcid.org/0000-0002-9579-8021
ORCID for Ramesh Kurukulaaratchy: ORCID iD orcid.org/0000-0002-1588-2400

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Date deposited: 14 May 2024 16:40
Last modified: 14 Aug 2024 01:58

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Contributors

Author: Paul Brinkman
Author: Johan Kolmert
Author: Cristina Gomez
Author: James Schofield
Author: Joost Brandsma
Author: Andy Shapanis ORCID iD
Author: Paul J.S. Skipp ORCID iD
Author: Anthony Postle ORCID iD
Author: Craig Wheelock
Author: Sven-Erik Dahlén
Author: Peter J. Sterk
Author: Thomas Brown
Author: David J. Jackson
Author: Adel Mansur
Author: Ian Pavord
Author: Mitesh Patel
Author: Christopher Brightling
Author: Salman Siddiqui
Author: Peter Bradding
Author: Ian Sabroe
Author: Dinesh Saralaya
Author: Livingstone Chishimba
Author: Joanna Porter
Author: Douglas Robinson
Author: Stephen J. Fowler
Author: Louisa Little
Author: Thomas Oliver
Author: Kayleigh Hill
Author: Louise Stanton ORCID iD
Author: Alexander Allen
Author: Deborah Ellis
Author: Tim Harrison
Author: Ayobami Akenroye
Author: Jessica Lasky-Su
Author: Liam Heaney
Author: Rekha Chaudhuri

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