Pharmacogenomics of miRNA for personalized anticancer treatment

Pharmacogenetics (PGx) aims at the definition of predictive and prognostic genetic biomarkers that can help clinicians in treatment tailoring. In this thesis, we explored two emerging topics in PGx: SNPs affecting the activity and maturation of a class of non coding RNAs, microRNAs (miRNAs), and immunogenetics. Genetic analyses were performed by a medium throughput technology, Veracode technology (Illumina). The clinical model of this study is represented by the locally advanced rectal cancer (LARC). Specifically, the main two aims of this study were: 1. the identification of predictive biomarkers of pathological response to neoadjuvant treatment in LARC patients, defined in terms of tumour regression grade (TRG); 2. the identification of biomarkers of disease free survival (DFS) and overall survival (OS) in LARC patients. To find an answer to these questions, we analyzed two panels of SNPs, selected according to bioinformatic analysis and literature data, on a group of 280 LARC patients homogeneously treated with fluoropyrimidines-based chemoradiotherapy in neo-adjuvant setting. In the first part of this project, we analyzed a panel of 144 SNPs potentially involved in miRNA maturation and activity. With a quite complex statistical strategy, we identified 5 new predictive biomarkers of response to neoadjuvant treatment. Specifically, DROSHA-rs10719 and SMAD3-rs17228212 were unfavourable predictive biomarkers (p=0.0274, p=0.0049), while SMAD3-rs744910, SMAD3-rs745103, and TRBP-rs6088619 showed an opposite effect (p=0.0153, p=0.0471, p=0.0125). Moreover, in patients with complete pathological response (TRG1), SMAD3-rs745103 was significantly associated with DFS (p=0.011). This study underlines the potential key role of SMAD3, factor involved not only in miRNA maturation but also in inflammation and in particular in TGF\u3b2 pathway, that is crucial in cancer progression and treatment response. Bearing in mind this interesting results and the huge amount of literature data addressing the high potentiality of immunogenetics in oncology, we analyzed a panel of 192 SNPs in genes involved in immune response in the same group of 280 LARC patients. We investigated another clinical end-point, the 2-year disease-free survival (2yDFS), because it is a strong prognostic biomarker of OS. Firstly, we identified 4 SNPs significantly associated with the 2yDFS. Two of them are located in IL17F (rs641701: OR=5.84, 95% CI=1.52-22.45, p=0.010; rs9463772: OR=3.56, 95% CI=1.22-10.35, p=0.020) and the other ones in STAT3 (rs8069645: OR=0.36, 95% CI=0.13-0.99, p=0.048; rs9867701: OR=3.00, 95% CI=1.09-8.30, p=0.034). Secondly, we studied the potential association of these 4 SNPs with the 10 years overall survival (OS). Interestingly, 3 SNPs remained significant and two of them are located in IL17F gene (IL17F-rs641701: OR=3.23, 95% CI=1.50-6.95, p=0.003; IL17F-rs9463772 OR=2.89, 95% CI=1.49-5.61, p=0.002, and STAT3-rs8069645 OR=0.50, 95% CI=0.25-0.98, p=0.044). We tested these associations in a validation group of 63 LARC patients who underwent radical surgery and adjuvant treatment based on fluoropyrimidines. Surprisingly, IL17F-rs9463772 is still significantly associated with OS (p=0.045), thus we can conclude that this is really a strong prognostic biomarker. To conclude, we performed 2 different PGx projects that led us to identify different predictive and prognostic biomarkers in LARC patients. These data, if confirmed in larger studies, will help clinicians to personalize patients treatment and management