{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T00:08:43Z","timestamp":1789949323105,"version":"4.0.1"},"reference-count":54,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2017,1,6]],"date-time":"2017-01-06T00:00:00Z","timestamp":1483660800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J cachexia sarcopenia muscle"],"published-print":{"date-parts":[[2017,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>MicroRNAs (miRs) are small non\u2010coding RNAs that regulate gene (mRNA) expression. Although the pathological role of miRs have been studied in muscle wasting conditions such as myotonic and muscular dystrophy, their roles in cancer cachexia (CC) are still emerging.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>The objectives are (i) to profile human skeletal muscle expressed miRs; (ii) to identify differentially expressed (DE) miRs between cachectic and non\u2010cachectic cancer patients; (iii) to identify mRNA targets for the DE miRs to gain mechanistic insights; and (iv) to investigate if miRs show potential prognostic and predictive value.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Study subjects were classified based on the international consensus diagnostic criteria for CC. Forty\u2010two cancer patients were included, of which 22 were cachectic cases and 20 were non\u2010cachectic cancer controls. Total RNA isolated from muscle biopsies were subjected to next\u2010generation sequencing.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 777 miRs were profiled, and 82 miRs with read counts of \u22655 in 80% of samples were retained for analysis. We identified eight DE miRs (up\u2010regulated, fold change of \u22651.4 at\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.05). A total of 191 potential mRNA targets were identified for the DE miRs using previously described human skeletal muscle mRNA expression data (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200990), and a majority of them were also confirmed in an independent mRNA transcriptome dataset. Ingenuity pathway analysis identified pathways related to myogenesis and inflammation. qRT\u2010PCR analysis of representative miRs showed similar direction of effect (\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.05), as observed in next\u2010generation sequencing. The identified miRs also showed prognostic and predictive value.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>In all, we identified eight novel miRs associated with CC.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jcsm.12168","type":"journal-article","created":{"date-parts":[[2017,1,6]],"date-time":"2017-01-06T02:24:01Z","timestamp":1483669441000},"page":"405-416","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":87,"title":["Small RNAome profiling from human skeletal muscle: novel miRNAs and their targets associated with cancer cachexia"],"prefix":"10.1002","volume":"8","author":[{"given":"Ashok","family":"Narasimhan","sequence":"first","affiliation":[{"name":"Department of Laboratory Medicine and Pathology University of Alberta  Edmonton Alberta Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sunita","family":"Ghosh","sequence":"additional","affiliation":[{"name":"Department of Oncology University of Alberta  Edmonton Alberta Canada"},{"name":"Cross Cancer Institute  Edmonton Alberta Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cynthia","family":"Stretch","sequence":"additional","affiliation":[{"name":"Department of Oncology University of Alberta  Edmonton Alberta Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Russell","family":"Greiner","sequence":"additional","affiliation":[{"name":"Department of Computing Sciences University of Alberta  Edmonton Alberta Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oliver F.","family":"Bathe","sequence":"additional","affiliation":[{"name":"Departments of Surgery and Oncology University of Calgary  Calgary Alberta 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