Validation of a miRNA Panel to Optimize Treatment Response in Patients With Metastatic Pancreatic Cancer (mirPANC 2)

Overview

This study is being conducted to better understand how pancreatic cancer behaves during treatment and how we can improve methods for monitoring disease progression. The research aims to determine whether small molecules present in the blood, called miRNAs, can help doctors assess whether the treatment is working or needs adjustment. With this, we hope to make cancer monitoring less invasive and more precise, allowing patients to receive more personalized and effective treatments.

Pancreatic cancer, particularly Pancreatic Ductal Adenocarcinoma (PDAC), has an extremely poor prognosis, with a 5-year survival rate of less than 3% for advanced stages. In 2020, Brazil saw about 11,893 deaths from this condition, with incidence rates expected to rise. The standard treatment for metastatic PDAC is the FOLFIRINOX regimen, but its response is variable and its effectiveness is limited, with few advancements in personalized therapy and response prediction. This research aims to develop and validate a panel of serum-based miRNA biomarkers using qPCR and large-scale sequencing (NGS) to evaluate treatment response in metastatic PDAC patients. The goal is to identify miRNA expression patterns that predict the effectiveness of FOLFIRINOX and assist in personalizing treatment based on individual responses. The study will use liquid biopsy to collect blood samples and analyze circulating miRNAs, enabling early detection of treatment responses and disease progression. This will allow for precise therapeutic adjustments and alternative treatment options based on the patient's profile. The innovative approach combines liquid biopsy with miRNA analysis as a low-cost, effective tool for monitoring and personalizing treatment. Using qPCR, a more affordable method than NGS and microarrays, enhances clinical feasibility. The research is highly relevant to the Brazilian Unified Health System (SUS), as an accessible miRNA panel could optimize resource use, reduce costs of ineffective treatments, and improve care quality and outcomes, aligning with SUS's goals for precise and accessible healthcare.

Conditions