Cargando…
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...
Autores principales: | , , , , , , , |
---|---|
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 |
_version_ | 1784889345995440128 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9931968 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT cohenstanley commentaryoncohenetalroleofclinicalfactorsinprecisionmedicinetesttopredictnonresponsetotnfitherapiesinrheumatoidarthritis AT curtisjeffreyr commentaryoncohenetalroleofclinicalfactorsinprecisionmedicinetesttopredictnonresponsetotnfitherapiesinrheumatoidarthritis AT mellorstheodore commentaryoncohenetalroleofclinicalfactorsinprecisionmedicinetesttopredictnonresponsetotnfitherapiesinrheumatoidarthritis AT zhanglixia commentaryoncohenetalroleofclinicalfactorsinprecisionmedicinetesttopredictnonresponsetotnfitherapiesinrheumatoidarthritis AT withersjohannab commentaryoncohenetalroleofclinicalfactorsinprecisionmedicinetesttopredictnonresponsetotnfitherapiesinrheumatoidarthritis AT jonesalex commentaryoncohenetalroleofclinicalfactorsinprecisionmedicinetesttopredictnonresponsetotnfitherapiesinrheumatoidarthritis AT ghiassiansusand commentaryoncohenetalroleofclinicalfactorsinprecisionmedicinetesttopredictnonresponsetotnfitherapiesinrheumatoidarthritis AT akmaevviatcheslavr commentaryoncohenetalroleofclinicalfactorsinprecisionmedicinetesttopredictnonresponsetotnfitherapiesinrheumatoidarthritis |