2021
DOI: 10.3389/fonc.2021.703461
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Machine Learning-Based Comparative Analysis of Pan-Cancer and Pan-Normal Tissues Identifies Pan-Cancer Tissue-Enriched circRNAs Related to Cancer Mutations as Potential Exosomal Biomarkers

Abstract: A growing body of evidence has shown that circular RNA (circRNA) is a promising exosomal cancer biomarker candidate. However, global circRNA alterations in cancer and the underlying mechanism, essential for identification of ideal circRNA cancer biomarkers, remain under investigation. We comparatively analyzed the circRNA landscape in pan-cancer and pan-normal tissues. Using co-expression and LASSO regularization analyses, as well as a support vector machine, we analyzed 265 pan-cancer and 319 pan-normal tissu… Show more

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Cited by 3 publications
(2 citation statements)
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“…Dynein axonemal heavy chain 14 (DNAH14) was increasingly backspliced in tumor tissues compared with that in adjacent normal tissues, which was consistent with our previous observations in pan-cancer tissues ( Figure S2 D). 26 …”
Section: Resultsmentioning
confidence: 99%
“…Dynein axonemal heavy chain 14 (DNAH14) was increasingly backspliced in tumor tissues compared with that in adjacent normal tissues, which was consistent with our previous observations in pan-cancer tissues ( Figure S2 D). 26 …”
Section: Resultsmentioning
confidence: 99%
“…CircRNAs participate in HCC development and progression 11 , 12 . CircDNAH14 has been found to be elevated in plasma exosomes of HCC patients 13 . Nevertheless, the role of circDNAH14 in HCC remains unclear.…”
Section: Introductionmentioning
confidence: 99%