Literature DB >> 20032971

CD11c as a transcriptional biomarker to predict response to anti-TNF monotherapy with adalimumab in patients with rheumatoid arthritis.

B Stuhlmüller1, T Häupl, M M Hernandez, A Grützkau, R-J Kuban, N Tandon, J W Voss, J Salfeld, R W Kinne, G R Burmester.   

Abstract

We performed transcription profiling using monocytes to identify predictive markers of response to anti-tumor necrosis factor (anti-TNF) therapy in patients with rheumatoid arthritis (RA). Several potential predictors of response were identified, including CD11c. Validation in samples from independent cohorts (total of n = 27 patients) using reverse transcription-PCR confirmed increased expression of CD11c in responders to adalimumab (100% sensitivity; 91.7% specificity, power 99.6%; alpha = 0.01). Pretherapy CD11c levels significantly correlated with the response criteria as defined by the American College of Rheumatology (ACR) (r = 0.656, P < 0.0001). However, CD11c was neither predictive of response to methotrexate (MTX) alone (n = 34) nor to MTX in combination with adalimumab (n = 16). Clinical responders revealed a reset to a normal expression pattern of resident/inflammatory monocyte markers, which was absent in nonresponders. Therefore, an analysis of key cell types identifies potentially predictive biomarkers that may help to restrict the use of adalimumab to therapy responders. Larger studies, including studies of monotherapy with other drugs, are now needed to confirm and validate the specificity of CD11c for anti-TNF biologics.

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Year:  2009        PMID: 20032971     DOI: 10.1038/clpt.2009.244

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  35 in total

1.  [Biomarkers in rheumatology. Biomarkers and imaging for the diagnosis and stratification of rheumatoid arthritis and spondylarthritis in the ArthroMark network funded by the Federal Ministry of Education and Research].

Authors:  T Häupl; H Appel; M Backhaus; H Burkhardt; M Grünke; A Grützkau; B Hoppe; J Listing; B Ostendorf; M Rudwaleit; J Sieper; A Skapenko; K Skriner; T Sörensen; B Stuhlmüller; A Zink; H Schulze-Koops; G-R Burmester
Journal:  Z Rheumatol       Date:  2012-06       Impact factor: 1.372

2.  [DNA microarrays].

Authors:  R Biesen; T Häupl
Journal:  Z Rheumatol       Date:  2011-11       Impact factor: 1.372

3.  Defining TNF-α- and LPS-induced gene signatures in monocytes to unravel the complexity of peripheral blood transcriptomes in health and disease.

Authors:  Biljana Smiljanovic; Joachim R Grün; Marta Steinbrich-Zöllner; Bruno Stuhlmüller; Thomas Häupl; Gerd R Burmester; Andreas Radbruch; Andreas Grützkau; Ria Baumgrass
Journal:  J Mol Med (Berl)       Date:  2010-07-17       Impact factor: 4.599

Review 4.  [Biomarkers for prognosis of response to anti-TNF therapy of rheumatoid arthritis: Where do we stand?].

Authors:  B Stuhlmüller; K Skriner; T Häupl
Journal:  Z Rheumatol       Date:  2015-11       Impact factor: 1.372

5.  Association of ITGAX and ITGAM gene polymorphisms with susceptibility to IgA nephropathy.

Authors:  Dianchun Shi; Zhong Zhong; Ricong Xu; Bin Li; Jianbo Li; Ullah Habib; Yuan Peng; Haiping Mao; Zhijian Li; Fengxian Huang; Xueqing Yu; Ming Li
Journal:  J Hum Genet       Date:  2019-06-21       Impact factor: 3.172

6.  Antigen presenting cell abnormalities in the Cln3(-/-) mouse model of juvenile neuronal ceroid lipofuscinosis.

Authors:  Samantha L Hersrud; Attila D Kovács; David A Pearce
Journal:  Biochim Biophys Acta       Date:  2016-04-19

Review 7.  [Relevance of big data for molecular diagnostics].

Authors:  M Bonin-Andresen; B Smiljanovic; B Stuhlmüller; T Sörensen; A Grützkau; T Häupl
Journal:  Z Rheumatol       Date:  2018-04       Impact factor: 1.372

8.  The multifaceted balance of TNF-α and type I/II interferon responses in SLE and RA: how monocytes manage the impact of cytokines.

Authors:  Biljana Smiljanovic; Joachim R Grün; Robert Biesen; Ursula Schulte-Wrede; Ria Baumgrass; Bruno Stuhlmüller; Wlodzimierz Maslinski; Falk Hiepe; Gerd-R Burmester; Andreas Radbruch; Thomas Häupl; Andreas Grützkau
Journal:  J Mol Med (Berl)       Date:  2012-05-19       Impact factor: 4.599

9.  Integration of known DNA, RNA and protein biomarkers provides prediction of anti-TNF response in rheumatoid arthritis: results from the COMBINE study.

Authors:  Lasse Folkersen; Boel Brynedal; Lina Marcela Diaz-Gallo; Daniel Ramsköld; Klementy Shchetynsky; Helga Westerlind; Yvonne Sundström; Danika Schepis; Aase Hensvold; Nancy Vivar; Maija-Leena Eloranta; Lars Rönnblom; Søren Brunak; Vivianne Malmström; Anca Catrina; Ulrik Gw Moerch; Lars Klareskog; Leonid Padyukov; Louise Berg
Journal:  Mol Med       Date:  2016-08-15       Impact factor: 6.354

10.  [Biomarkers and personalized medicine].

Authors:  H U Scherer; G-R Burmester; T Häupl
Journal:  Z Rheumatol       Date:  2013-02       Impact factor: 1.372

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