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Isoform specific gene expression analysis of KRAS in the prognosis of lung adenocarcinoma patients

DC FieldValueLanguage
dc.contributor.author김상우-
dc.contributor.author양인석-
dc.date.accessioned2018-08-28T16:57:26Z-
dc.date.available2018-08-28T16:57:26Z-
dc.date.issued2018-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/162109-
dc.description.abstractBACKGROUND: Aberrant mutations in KRAS play a critical role in tumor initiation and progression, and are a negative prognosis factor in lung adenocarcinoma (LUAD). RESULTS: Using genomic analysis for K-Ras isoforms (K-Ras4A and K-Ras4B) and large-scale multi-omics data, we inspected the overall survival (OS) and disease-free survival (DFS) of LUAD patients based on the abundance of transcript variants by analyzing RNA expression and somatic mutation data from The Cancer Genome Atlas (n = 516). The expression of the minor transcript K-Ras4A and its proportion were positively correlated with the presence of KRAS mutations in LUAD. We found that both K-Ras4A abundance measures (expression and proportion) have a strong association with poor OS (p = 0.0149 and p = 3.18E-3, respectively) and DFS (p = 3.03E-4 and p = 0.0237, respectively), but only in patients harboring KRAS mutations. A Cox regression analysis showed significant results in groups with low expression (hazard ratio (HR) = 2.533, 95% confidence interval (CI) = 1.380-4.651, p = 2.72E-3) and low proportion (HR = 2.549, 95% CI = 1.387-4.684, p = 2.58E-3) of K-Ras4A. CONCLUSIONS: Based on the above results, we report the possible use of abundance measures for K-Ras4A for predicting the survival of LUAD patients with KRAS mutations.-
dc.description.statementOfResponsibilityopen-
dc.formatapplication/pdf-
dc.languageEnglish-
dc.publisherBioMed Central-
dc.relation.isPartOfBMC BIOINFORMATICS-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titleIsoform specific gene expression analysis of KRAS in the prognosis of lung adenocarcinoma patients-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Life Science-
dc.contributor.googleauthorIn Seok Yang-
dc.contributor.googleauthorSangwoo Kim-
dc.identifier.doi10.1186/s12859-018-2011-y-
dc.contributor.localIdA00524-
dc.relation.journalcodeJ00350-
dc.identifier.eissn1471-2105-
dc.identifier.pmid29504894-
dc.subject.keywordIsoform specific expression-
dc.subject.keywordK-Ras4A-
dc.subject.keywordKRAS mutation-
dc.subject.keywordLung adenocarcinoma-
dc.subject.keywordSurvival-
dc.contributor.alternativeNameKim, Sang Woo-
dc.contributor.affiliatedAuthorKim, Sang Woo-
dc.citation.volume19-
dc.citation.numberSuppl 1-
dc.citation.startPage40-
dc.identifier.bibliographicCitationBMC BIOINFORMATICS, Vol.19(Suppl 1) : 40, 2018-
Appears in Collections:
1. College of Medicine (의과대학) > BioMedical Science Institute (의생명과학부) > 1. Journal Papers

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