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      High expression of miR-17-5p and miR-20a-5p predicts favorable disease-specific survival in stage I-III colon cancer

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          Abstract

          In many types of cancer, microRNAs (miRs) are aberrantly expressed. The aim of this study was to explore the prognostic impact of miR-17-5p and miR-20a-5p in colon cancer. Tumor tissue from 452 stage I-III colon cancer patients was retrospectively collected and tissue microarrays constructed. miR-17-5p and miR-20a-5p expression was evaluated by in situ hybridization and analyzed using digital pathology. Cell line experiments, using HT-29 and CACO-2, were performed to assess the effect of miR-17-5p and miR-20a-5p over expression on viability, invasion and migration. In multivariate analyses, high miR-17-5p expression in tumor (HR = 0.43, CI 0.26–0.71, p < 0.001) and high expression of miR-20a-5p in tumor (HR = 0.60, CI 0.37–0.97, p = 0.037) and stroma (HR = 0.63, CI 0.42–0.95, p = 0.027) remained independent predictors of improved disease-specific survival. In cell lines, over expression of both miRs resulted in mitigated migration without any significant effect on viability or invasion. In conclusion, in stage I-III colon cancer, high expression of both miR-17-5p and miR-20a-5p are independent predictors of favorable prognosis.

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          MicroRNAs: target recognition and regulatory functions.

          MicroRNAs (miRNAs) are endogenous approximately 23 nt RNAs that play important gene-regulatory roles in animals and plants by pairing to the mRNAs of protein-coding genes to direct their posttranscriptional repression. This review outlines the current understanding of miRNA target recognition in animals and discusses the widespread impact of miRNAs on both the expression and evolution of protein-coding genes.
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            QuPath: Open source software for digital pathology image analysis

            QuPath is new bioimage analysis software designed to meet the growing need for a user-friendly, extensible, open-source solution for digital pathology and whole slide image analysis. In addition to offering a comprehensive panel of tumor identification and high-throughput biomarker evaluation tools, QuPath provides researchers with powerful batch-processing and scripting functionality, and an extensible platform with which to develop and share new algorithms to analyze complex tissue images. Furthermore, QuPath’s flexible design makes it suitable for a wide range of additional image analysis applications across biomedical research.
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              Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets.

              We predict regulatory targets of vertebrate microRNAs (miRNAs) by identifying mRNAs with conserved complementarity to the seed (nucleotides 2-7) of the miRNA. An overrepresentation of conserved adenosines flanking the seed complementary sites in mRNAs indicates that primary sequence determinants can supplement base pairing to specify miRNA target recognition. In a four-genome analysis of 3' UTRs, approximately 13,000 regulatory relationships were detected above the estimate of false-positive predictions, thereby implicating as miRNA targets more than 5300 human genes, which represented 30% of our gene set. Targeting was also detected in open reading frames. In sum, well over one third of human genes appear to be conserved miRNA targets.
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                Author and article information

                Contributors
                hallgeir.selven@uit.no
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                30 April 2022
                30 April 2022
                2022
                : 12
                : 7080
                Affiliations
                [1 ]GRID grid.412244.5, ISNI 0000 0004 4689 5540, Department of Oncology, , University Hospital of North Norway, ; 9038 Tromso, Norway
                [2 ]GRID grid.10919.30, ISNI 0000000122595234, Department of Clinical Medicine, , UiT The Arctic University of Norway, ; Tromso, Norway
                [3 ]GRID grid.10919.30, ISNI 0000000122595234, Department of Medical Biology, , UiT The Arctic University of Norway, ; Tromso, Norway
                [4 ]GRID grid.412244.5, ISNI 0000 0004 4689 5540, Department of Clinical Pathology, , University Hospital of North Norway, ; Tromso, Norway
                Article
                11090
                10.1038/s41598-022-11090-2
                9056518
                35490164
                16060e67-2626-4629-8dfc-c03f309971b4
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 17 February 2022
                : 15 April 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100007465, Universitetet i Tromsø;
                Funded by: UiT The Arctic University of Norway (incl University Hospital of North Norway)
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                Uncategorized
                cancer,gastrointestinal cancer,tumour biomarkers
                Uncategorized
                cancer, gastrointestinal cancer, tumour biomarkers

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