Evidence map›Paper›PMID 39081053›Full record

ArticleExperimental dermatology2024

Genetic polymorphisms to identify patients with an optimal response to tildrakizumab in psoriasis patients from real-life clinical practice.

B Butrón-Bris, M Llamas-Velasco, M C Ovejero-Benito, J Santos-Juanes, A Martínez-López, R Ruiz-Villaverde, G Roustan, O Baniandrés, R Izu-Belloso, P de la Cueva and 11 more

Abstract read
In one paragraph

Article in Experimental dermatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Biological Treatment of Psoriasis-Data So Far.Pharmaceuticals (Basel, Switzerland) · 2026
    Review
  3. Review
  4. Article
  5. Article
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

21 authors.

B Butrón-BrisServicio de Dermatología, Instituto de Investigación Sanitaria La Princesa, Hospital Universitario de la Princesa, Madrid, Spain.
M Llamas-VelascoServicio de Dermatología, Instituto de Investigación Sanitaria La Princesa, Hospital Universitario de la Princesa, Madrid, Spain.
M C Ovejero-BenitoDepartamento de Ciencias Farmacéuticas y de la Salud, Facultad de Farmacia, Universidad San Pablo-CEU, CEU, CEU Universities Madrid, Madrid, Spain.
J Santos-JuanesDepartment of Dermatology, Hospital Universitario Central de Asturias, Asturias, Spain.
A Martínez-LópezDepartment of Dermatology, Hospital Universitario Virgen de las Nieves, Granada, Spain.
R Ruiz-VillaverdeDepartment of Dermatology, Hospital Universitario San Cecilio, Granada, Spain.
G RoustanDepartment of Dermatology, Hospital Universitario Puerta de Hierro, Madrid, Spain.
O BaniandrésDepartment of Dermatology, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
R Izu-BellosoDepartment of Dermatology, Hospital Universitario de Basurto, Bilbao, Spain.
P de la CuevaDepartment of Dermatology, Hospital Universitario Infanta Leonor, Madrid, Spain.
A Sahuquillo-TorralbaDepartment of Dermatology, Instituto de Investigación Sanitaria La Fe, Hospital Universitario y Politécnico La Fe, Valencia, Spain.
A Gónzalez-QuesadaDepartment of Dermatology, Hospital Universitario de Gran Canaria Doctor Negrín, Las Palmas, Spain.
E Vilarrasa-RullDepartment of Dermatology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
J Pujol-MontcusíDepartment of Dermatology, Hospital Universitario de Tarragona Joan XXIII, Tarragona, Spain.
J García-MartínezInstituto de Investigación Sanitaria La Princesa, Hospital Universitario del Niño Jesús, Madrid, Spain.
M NavaresClinical Pharmacology Department, Instituto de Investigación Sanitaria La Princesa, Universidad Autónoma de Madrid, Hospital Universitario de La Princesa, Madrid, Spain.
I Palomar-MorenoUnit of Molecular Biology, Instituto de Investigación Sanitaria La Princesa, Madrid, Spain.
J NovalbosClinical Pharmacology Department, Instituto de Investigación Sanitaria La Princesa, Universidad Autónoma de Madrid, Hospital Universitario de La Princesa, Madrid, Spain.
F Abad-SantosClinical Pharmacology Department, Instituto de Investigación Sanitaria La Princesa, Universidad Autónoma de Madrid, Hospital Universitario de La Princesa, Madrid, Spain.
E DaudénServicio de Dermatología, Instituto de Investigación Sanitaria La Princesa, Hospital Universitario de la Princesa, Madrid, Spain.
H de la FuenteServicio de Dermatología, Instituto de Investigación Sanitaria La Princesa, Hospital Universitario de la Princesa, Madrid, Spain.ORCID https://orcid.org/0000-0001-8708-753X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detecting the association of genetic variants to the response of biological therapy represents an important advance in developing a personalized therapy. The aim of this work was to study the association of polymorphisms with an optimal response to tildrakizumab in patients with psoriasis in a real-life clinical practice. Ninety patients with plaque psoriasis recruited from-Spanish hospitals receiving tildrakizumab for at least 24 weeks were genotyped for 180 polymorphisms. Optimal response to tildrakizumab was evaluated by absolute PASI ≤1 at 6 and 12 months. Polymorphisms corrected for weight and disease duration with an FDR <0.15 were included in a multiple regression model. Sixty three percent of patients achieved an absolute PASI ≤1 at 6 months, while 71% did so after 12 months. Disease duration (>27 years) and weight (>76 kg) were associated with treatment response; after correcting by these factors, no association (FDR >0.15) was found for any polymorphism and response to tildrakizumab at 6 months. The analysis at 12 months identified the genotype GG for rs610604 (TNFAIP3), CT for rs9373839 (ATG5), and delCTGT/delCTGT for rs72167053 (PDE4D) as risk factors to not achieve an optimal response (PASI ≤1), while CT for rs708567 (IL17RC) was protective, independently of weight and disease duration (FDR <0.15). The final multivariable model at 12 months showed an AUC of 0.90 (95% CI 0.82 to -0.98). We identified a set of polymorphisms that could be helpful to identify psoriatic patients with an optimal response to tildrakizumab at 12 months in real-world practice conditions.

Indexed as

Antibodies, Monoclonal, HumanizedPsoriasisAdultAgedFemaleGenotypeHumansMaleMiddle AgedPolymorphism, GeneticPolymorphism, Single NucleotideTreatment OutcomeAntibodies, Monoclonal, Humanizedtildrakizumabeffectivenessgenetic variantspsoriasistildrakizumab

Identifiers

PMID39081053
PMCPMC11605493

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.