CXCL13 is a predictive biomarker in idiopathic multicentric Castleman disease

Sheila K. Pierson (), Laura Katz, Reece Williams, Melanie Mumau, Michael Gonzalez, Stacy Guzman, Ayelet Rubenstein, Ana B. Oromendia, Philip Beineke, Alexander Fosså, Frits van Rhee and David C. Fajgenbaum ()
Additional contact information
Sheila K. Pierson: University of Pennsylvania
Laura Katz: Medidata Solutions
Reece Williams: University of Pennsylvania
Melanie Mumau: University of Pennsylvania
Michael Gonzalez: University of Pennsylvania
Stacy Guzman: University of Pennsylvania
Ayelet Rubenstein: University of Pennsylvania
Ana B. Oromendia: Medidata Solutions
Philip Beineke: Medidata Solutions
Alexander Fosså: Oslo University Hospital
Frits van Rhee: University of Arkansas for Medical Sciences
David C. Fajgenbaum: University of Pennsylvania

Nature Communications, 2022, vol. 13, issue 1, 1-13

Abstract: Abstract Idiopathic multicentric Castleman disease (iMCD) is a rare and poorly-understood cytokine storm-driven inflammatory disorder. Interleukin-6 (IL-6) is a known disease driver in some patients, but anti-IL-6 therapy with siltuximab is not effective in all patients, and biomarkers indicating success at an early time point following treatment initiation are lacking. Here we show, by comparison of levels of 1,178 proteins in sera of healthy participants (N = 42), patients with iMCD (N = 88), and with related diseases (N = 60), a comprehensive landscape of candidate disease mediators and predictors of siltuximab response. C-X-C Motif Chemokine Ligand-13 (CXCL13) is identified and validated as the protein most prominently up-regulated in iMCD. Early and significant decrease in CXCL13 levels clearly distinguishes siltuximab responders from non-responders; a 17% reduction by day 8 following siltuximab therapy initiation is predictive of response at later time points. Our study thus suggests that CXCL13 is a predictive biomarker of response to siltuximab in iMCD.

Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/s41467-022-34873-7 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34873-7

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-022-34873-7

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().