Systemic circulating microRNA landscape in Lynch syndrome

Abstract

MicroRNAs (miRs) are non-coding RNA-molecules that regulate gene expression. Global circulating miR (c-miR) expression patterns (c-miRnome) change with carcinogenesis in various sporadic cancers. Therefore, aberrantly expressed c-miRs could have diagnostic, predictive and prognostic potential in molecular profiling of cancers. c-miR functions in carriers of inherited pathogenic mismatch-repair gene variants (path_MMR), also known as Lynch syndrome (LS), have remained understudied. LS cohort provides an ideal population for biomarker mining due to increased lifelong cancer risk and excessive cancer occurrence. Using high-throughput sequencing and bioinformatic approaches, we conducted an exploratory analysis to characterize systemic c-miRnomes of path_MMR carriers. Our discovery cohort included 81 healthy path_MMR carriers and 37 non-LS controls. Our analysis also included cancer cohort comprised of 13 path_MMR carriers with varying cancers and 24 sporadic rectal cancer patients. We showed for the first time that c-miRnome can discern healthy path_MMR carriers from non-LS controls but does not distinguish healthy path_MMR carriers from cancer patients with or without path_MMR. Our c-miR expression analysis combined with in silico tools suggest ongoing alterations of biological pathways shared in LS and sporadic carcinogenesis. We observed that these alterations can produce a c-miR signature which can be used to track oncogenic stress in cancer-free path_MMR carriers. Thus, c-miRs hold potential in monitoring which cancer patients would require more intensive surveillance or clinical management. SignificanceC-miRnome can discern between healthy persons with or without path_MMR but does not distinguish healthy path_MMR carriers from cancer patients with or without path_MMR, indicating an ongoing alteration of biological pathways that can be used to track oncogenic stress at cancer-free state.