Technological Offers

Predictive miRNA Biomarker for Non-Response to Anti-TNF Therapy in Rheumatoid Arthritis

Description


This technology is based on the identification of plasma microRNA (miRNA) profiles as predictive molecular signatures. Using next-generation sequencing (miRNA-seq) and RT-qPCR validation, a specific miRNA has been successfully identified as a key biomarker. Its elevated baseline expression is independently associated with an absence of clinical response at week 24 of treatment.

Medical need

While tumor necrosis factor (TNF) inhibitors represent a milestone in the management of Rheumatoid Arthritis (RA), 20% to 40% of patients fail to achieve clinical remission. Currently, there is a critical unmet clinical need for reliable biomarkers to predict therapeutic response prior to treatment initiation, thereby preventing unnecessary toxicities and optimizing healthcare expenditure.

Advantages


  • Early Prediction: Ability to identify potential non-responders prior to the first dose (week 0), significantly reducing the "trial and error" period for patients
  • Statistical Robustness: The biomarker shows a statistically significant independent association $(p=0.039)$, validated across an independent cohort.
  • Minimally Invasive: Utilizing a liquid biopsy approach (plasma-based), ensuring easy integration into clinical routine compared to invasive procedures like synovial biopsies.
  • Precision Medicine: Enables personalized patient stratification, ensuring the right treatment is selected from the start.
  • Eficiencia Económica: Reducción drástica del gasto sanitario al evitar el uso de terapias anti-TNF en el 20-40% de los pacientes que no se beneficiarían de ellas.
  • High Predictive Value: Retains its accuracy even when adjusted for confounding factors such as smoking status and baseline disease activity.

Applications


Prediction of response to treatment

Prevalence

RA affects 0.5-1% of the global population, carrying a severe burden of functional disability.

Market

The biologic drug market is massive; however, its limited efficacy in a significant patient subset presents a strong market opportunity for companion companion diagnostics test.

Other solutions

Currently, therapeutic selection relies primarily on clinical criteria and non-specific inflammatory parameters, lacking personalized predictive power.

Results

  • Identification of a 45-miRNA signature that successfully differentiates RA patients from healthy controls.
  • Validation of the specific miRNA as an independent predictor of therapeutic non-response (OR: 1.74; p=0.039) after adjusting for age and sex.
  • The biomarker retains its robust predictive value even after further adjustment for smoking status and baseline inflammatory activity.

Diagnosis


IBIMA Plataforma BIONAND inventors


NATALIA MENA VÁZQUEZ
Research group of IBIMA involved: D-03

ARKAITZ MUCIENTES RUIZ
Research group of IBIMA involved: D-03

ANTONIO FERNÁNDEZ NEBRO
Research group of IBIMA involved: D-03

SARA MANRIQUE ARIJA
Research group of IBIMA involved: D-03

PATRICIA RUIZ LIMÓN
Research group of IBIMA involved: A-02

JOSÉ MANUEL LISBONA MONTAÑEZ
Research group of IBIMA involved: D-03

AIMARA GARCÍA STUDER
Research group of IBIMA involved: D-03

FERNANDO ORTÍZ MÁZQUEZ
Research group of IBIMA involved: D-03

Contact


Innovation and Technology Transfer Office of IBIMA Plataforma BIONAND

transferencia@ibima.eu