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Commentary on Cohen et al.: Role of Clinical Factors in Precision Medicine Test to Predict Nonresponse to TNFi Therapies in Rheumatoid Arthritis

A 2021 study described the development and validation of a blood-based precision medicine test called the molecular signature response classifier (MSRC) that uses 23 features to identify rheumatoid arthritis (RA) patients who are likely nonresponders to tumor necrosis factor-α inhibitor (TNFi) thera...

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Autores principales: Cohen, Stanley, Curtis, Jeffrey R., Mellors, Theodore, Zhang, Lixia, Withers, Johanna B., Jones, Alex, Ghiassian, Susan D., Akmaev, Viatcheslav R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931968/
https://www.ncbi.nlm.nih.gov/pubmed/36441482
http://dx.doi.org/10.1007/s40744-022-00506-0
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author Cohen, Stanley
Curtis, Jeffrey R.
Mellors, Theodore
Zhang, Lixia
Withers, Johanna B.
Jones, Alex
Ghiassian, Susan D.
Akmaev, Viatcheslav R.
author_facet Cohen, Stanley
Curtis, Jeffrey R.
Mellors, Theodore
Zhang, Lixia
Withers, Johanna B.
Jones, Alex
Ghiassian, Susan D.
Akmaev, Viatcheslav R.
author_sort Cohen, Stanley
collection PubMed
description A 2021 study described the development and validation of a blood-based precision medicine test called the molecular signature response classifier (MSRC) that uses 23 features to identify rheumatoid arthritis (RA) patients who are likely nonresponders to tumor necrosis factor-α inhibitor (TNFi) therapy. Both the gene expression features and clinical components (sex, body mass index, patient global assessment, and anti-cyclic citrullinated protein) included in the MSRC were statistically significant contributors to MSRC results. In response to continued inquiries on this topic, we write this letter to provide additional insights into the contribution of clinical components to the MSRC on the Network-004 validation cohort.
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spelling pubmed-99319682023-02-17 Commentary on Cohen et al.: Role of Clinical Factors in Precision Medicine Test to Predict Nonresponse to TNFi Therapies in Rheumatoid Arthritis Cohen, Stanley Curtis, Jeffrey R. Mellors, Theodore Zhang, Lixia Withers, Johanna B. Jones, Alex Ghiassian, Susan D. Akmaev, Viatcheslav R. Rheumatol Ther Commentary A 2021 study described the development and validation of a blood-based precision medicine test called the molecular signature response classifier (MSRC) that uses 23 features to identify rheumatoid arthritis (RA) patients who are likely nonresponders to tumor necrosis factor-α inhibitor (TNFi) therapy. Both the gene expression features and clinical components (sex, body mass index, patient global assessment, and anti-cyclic citrullinated protein) included in the MSRC were statistically significant contributors to MSRC results. In response to continued inquiries on this topic, we write this letter to provide additional insights into the contribution of clinical components to the MSRC on the Network-004 validation cohort. Springer Healthcare 2022-11-27 /pmc/articles/PMC9931968/ /pubmed/36441482 http://dx.doi.org/10.1007/s40744-022-00506-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Commentary
Cohen, Stanley
Curtis, Jeffrey R.
Mellors, Theodore
Zhang, Lixia
Withers, Johanna B.
Jones, Alex
Ghiassian, Susan D.
Akmaev, Viatcheslav R.
Commentary on Cohen et al.: Role of Clinical Factors in Precision Medicine Test to Predict Nonresponse to TNFi Therapies in Rheumatoid Arthritis
title Commentary on Cohen et al.: Role of Clinical Factors in Precision Medicine Test to Predict Nonresponse to TNFi Therapies in Rheumatoid Arthritis
title_full Commentary on Cohen et al.: Role of Clinical Factors in Precision Medicine Test to Predict Nonresponse to TNFi Therapies in Rheumatoid Arthritis
title_fullStr Commentary on Cohen et al.: Role of Clinical Factors in Precision Medicine Test to Predict Nonresponse to TNFi Therapies in Rheumatoid Arthritis
title_full_unstemmed Commentary on Cohen et al.: Role of Clinical Factors in Precision Medicine Test to Predict Nonresponse to TNFi Therapies in Rheumatoid Arthritis
title_short Commentary on Cohen et al.: Role of Clinical Factors in Precision Medicine Test to Predict Nonresponse to TNFi Therapies in Rheumatoid Arthritis
title_sort commentary on cohen et al.: role of clinical factors in precision medicine test to predict nonresponse to tnfi therapies in rheumatoid arthritis
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931968/
https://www.ncbi.nlm.nih.gov/pubmed/36441482
http://dx.doi.org/10.1007/s40744-022-00506-0
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