Evidence map›Paper›PMID 37710418›Full record

ArticleACR open rheumatology2023

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

Matthew Studham, Cristina Vazquez-Mateo, Eileen Samy, Philipp Haselmayer, Aida Aydemir, P Alexander Rolfe, Joan T Merrill, Eric F Morand, Julie DeMartino, Amy Kao and 1 more

Open access · goldAbstract read
In one paragraph

Article in ACR open rheumatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 39% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 1 institution in 4 countries.

Matthew StudhamEMD Serono, Billerica, MA, United States.
Cristina Vazquez-MateoEMD Serono, Billerica, MA, United States.
Eileen SamyEMD Serono, Billerica, MA, United States.
Philipp Haselmayerthe healthcare business of Merck KGaA, Darmstadt, Germany.
Aida AydemirEMD Serono, Billerica, MA, United States.
P Alexander RolfeEMD Serono, Billerica, MA, United States.
Joan T MerrillUniversity of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.ORCID https://orcid.org/0000-0002-4514-2382
Eric F MorandMonash University School of Clinical Sciences, Clayton, Australia.ORCID https://orcid.org/0000-0002-9507-3338
Julie DeMartinoEMD Serono, Billerica, MA, United States.
Amy KaoEMD Serono, Billerica, MA, United States.
Robert TownsendEMD Serono, Billerica, MA, United States.
Merck (Germany) · DE

Funding

EMD Serono, Billerica, MA, USA CrossRef Funder ID: 10.13039/100004755
6 · The paper itself

Abstract

objectiveTo 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.

methodsA published immune cell deconvolution algorithm based on Affymetrix gene array data was applied to whole blood gene expression from patients entering APRIL-SLE. Five distinct patient clusters were identified. Patient characteristics, biomarkers, and clinical response to atacicept were assessed per cluster. A modified immune cell deconvolution algorithm was developed based on RNA sequencing data and applied to ADDRESS II data to identify similar patient clusters and their responses.

resultsPatients in APRIL-SLE (N = 105) were segregated into the following five clusters (P1-5) characterized by dominant cell subset signatures: high neutrophils, T helper cells and natural killer (NK) cells (P1), high plasma cells and activated NK cells (P2), high B cells and neutrophils (P3), high B cells and low neutrophils (P4), or high activated dendritic cells, activated NK cells, and neutrophils (P5). Placebo- and atacicept-treated patients in clusters P2,4,5 had markedly higher British Isles Lupus Assessment Group (BILAG) A/B flare rates than those in clusters P1,3, with a greater treatment effect of atacicept on lowering flares in clusters P2,4,5. In ADDRESS II, placebo-treated patients from P2,4,5 were less likely to be SLE Responder Index (SRI)-4, SRI-6, and BILAG-Based Combined Lupus Assessment responders than those in P1,3; the response proportions again suggested lower placebo effect and a greater treatment differential for atacicept in P2,4,5.

conclusionThis exploratory analysis indicates larger differences between placebo- and atacicept-treated patients with SLE in a molecularly defined patient subset.

Identifiers

PMID37710418
PMCPMC10570667
OpenAlexW4386757196

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.