1. Deep sequencing reveals microRNAs predictive of antiangiogenic drug response
- Author
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Oliver Bechter, Luis J Leandro-García, Lucía Inglada-Pérez, Benoit Beuselinck, S. Hernando, Osvaldo Graña, Miguel Angel Climent, Emilio Esteban, Mercedes Robledo, Jose Angel Arranz, Daniel Castellano, Manuel Morente, Aranzazu Gonzalez del Alba, Agnieszka Wozniak, María Apellániz-Ruiz, David G. Pisano, Jesús García-Donas, Patrick Schöffski, and Cristina Rodríguez-Antona
- Subjects
0301 basic medicine ,Oncology ,Adult ,Male ,medicine.medical_specialty ,Angiogenesis Inhibitors ,Bioinformatics ,Deep sequencing ,Disease-Free Survival ,03 medical and health sciences ,0302 clinical medicine ,Text mining ,Renal cell carcinoma ,Internal medicine ,microRNA ,medicine ,Carcinoma ,Humans ,Survival rate ,Carcinoma, Renal Cell ,Protein Kinase Inhibitors ,Aged ,Aged, 80 and over ,business.industry ,High-Throughput Nucleotide Sequencing ,General Medicine ,Middle Aged ,medicine.disease ,Kidney Neoplasms ,Gene Expression Regulation, Neoplastic ,Survival Rate ,MicroRNAs ,030104 developmental biology ,030220 oncology & carcinogenesis ,Female ,business ,Progressive disease ,Clear cell ,Research Article - Abstract
The majority of metastatic renal cell carcinoma (RCC) patients are treated with tyrosine kinase inhibitors (TKI) in first-line treatment; however, a fraction are refractory to these antiangiogenic drugs. MicroRNAs (miRNAs) are regulatory molecules proven to be accurate biomarkers in cancer. Here, we identified miRNAs predictive of progressive disease under TKI treatment through deep sequencing of 74 metastatic clear cell RCC cases uniformly treated with these drugs. Twenty-nine miRNAs were differentially expressed in the tumors of patients who progressed under TKI therapy (P values from 6 × 10-9 to 3 × 10-3). Among 6 miRNAs selected for validation in an independent series, the most relevant associations corresponded to miR-1307-3p, miR-155-5p, and miR-221-3p (P = 4.6 × 10-3, 6.5 × 10-3, and 3.4 × 10-2, respectively). Furthermore, a 2 miRNA-based classifier discriminated individuals with progressive disease upon TKI treatment (AUC = 0.75, 95% CI, 0.64-0.85; P = 1.3 × 10-4) with better predictive value than clinicopathological risk factors commonly used. We also identified miRNAs significantly associated with progression-free survival and overall survival (P = 6.8 × 10-8 and 7.8 × 10-7 for top hits, respectively), and 7 overlapped with early progressive disease. In conclusion, this is the first miRNome comprehensive study, to our knowledge, that demonstrates a predictive value of miRNAs for TKI response and provides a new set of relevant markers that can help rationalize metastatic RCC treatment.
- Published
- 2016