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Identifying lupus Patient Subsets Through Immune Cell Deconvolution of Gene Expression Data in Two A...

Identifying lupus Patient Subsets Through Immune Cell Deconvolution of Gene Expression Data in Two A...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_add9fe7b98494705a1bf88c69bce3eb1

Identifying lupus Patient Subsets Through Immune Cell Deconvolution of Gene Expression Data in Two Atacicept Phase II Studies

About this item

Full title

Identifying lupus Patient Subsets Through Immune Cell Deconvolution of Gene Expression Data in Two Atacicept Phase II Studies

Publisher

Atlanta: John Wiley & Sons, Inc

Journal title

ACR Open Rheumatology, 2023-10, Vol.5 (10), p.536-546

Language

English

Formats

Publication information

Publisher

Atlanta: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

Objective: To use cell‐based gene signatures to identify patients with systemic lupus erythematous (SLE) in the phase II/III APRIL–SLE and phase IIb ADDRESS II trials most likely to respond to atacicept. Methods: A published immune cell deconvolution algorithm based on Affymetrix gene array data was applied to whole blood gene expression from patie...

Alternative Titles

Full title

Identifying lupus Patient Subsets Through Immune Cell Deconvolution of Gene Expression Data in Two Atacicept Phase II Studies

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_add9fe7b98494705a1bf88c69bce3eb1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_add9fe7b98494705a1bf88c69bce3eb1

Other Identifiers

ISSN

2578-5745

E-ISSN

2578-5745

DOI

10.1002/acr2.11594

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