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Prognosis of stage III colorectal carcinomas with FOLFOX adjuvant chemotherapy can be predicted by molecular subtype

DC Field Value Language
dc.contributor.author김원규-
dc.contributor.author김태일-
dc.contributor.author김호근-
dc.contributor.author민병소-
dc.contributor.author박민희-
dc.contributor.author백순명-
dc.contributor.author이현정-
dc.contributor.author홍성필-
dc.contributor.author장미-
dc.date.accessioned2018-07-20T07:32:20Z-
dc.date.available2018-07-20T07:32:20Z-
dc.date.issued2017-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/160269-
dc.description.abstractIndividualizing adjuvant chemotherapy is important in patients with advanced colorectal cancers (CRCs), and the ability to identify molecular subtypes predictive of good prognosis for stage III CRCs after adjuvant chemotherapy could be highly beneficial. We performed microarray-based gene expression analysis on 101 fresh-frozen primary samples from patients with stage III CRCs treated with FOLFOX adjuvant chemotherapy and 35 matched non-neoplastic mucosal tissues. CRC samples were classified into four molecular subtypes using nonnegative matrix factorization, and for comparison, we also grouped CRC samples using the proposed consensus molecular subtypes (CMSs). Of the 101 cases, 80 were classified into a CMS group, which shows a 79% correlation between the CMS classification and our four molecular subtypes. We found that two of our subtypes showed significantly higher disease-free survival and overall survival than the others. Group 2, in particular, which showed no disease recurrence or death, was characterized by high microsatellite instability (MSI-H, 6/21), abundant mucin production (12/21), and right-sided location (12/21), this group strongly correlated with CMS1 (microsatellite instability immune type). We further identified the molecular characteristics of each group and selected 10 potential biomarker genes from each. When these were compared to the previously reported molecular classifier genes; we found that 31 out of 40 selected genes were matched with those previously reported. Our findings indicate that molecular classification can reveal specific molecular subtypes correlating with clinicopathologic features of CRCs and can have predictive value for the prognosis for stage III CRCs with FOLFOX adjuvant chemotherapy.-
dc.description.statementOfResponsibilityopen-
dc.formatapplication/pdf-
dc.languageEnglish-
dc.publisherImpact Journals-
dc.relation.isPartOfONCOTARGET-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAdult-
dc.subject.MESHAged-
dc.subject.MESHAntineoplastic Combined Chemotherapy Protocols/adverse effects-
dc.subject.MESHAntineoplastic Combined Chemotherapy Protocols/therapeutic use*-
dc.subject.MESHBiomarkers-
dc.subject.MESHTumor-
dc.subject.MESHChemotherapy-
dc.subject.MESHAdjuvant-
dc.subject.MESHCluster Analysis-
dc.subject.MESHColorectal-
dc.subject.MESHdiagnosis-
dc.subject.MESHColorectal Neoplasms/drug therapy*-
dc.subject.MESHColorectal Neoplasms/genetics-
dc.subject.MESHColorectal Neoplasms/mortality*-
dc.subject.MESHComputational Biology-
dc.subject.MESHFemale-
dc.subject.MESHFluorouracil/adverse effects-
dc.subject.MESHFluorouracil/therapeutic use-
dc.subject.MESHGene Expression Profiling-
dc.subject.MESHHumans-
dc.subject.MESHLeucovorin/adverse effects-
dc.subject.MESHLeucovorin/therapeutic use-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHNeoplasm Staging-
dc.subject.MESHOrganoplatinum Compounds/adverse effects-
dc.subject.MESHOrganoplatinum Compounds/therapeutic use-
dc.subject.MESHPrognosis-
dc.subject.MESHSurvival Analysis-
dc.subject.MESHTranscriptome-
dc.subject.MESHTreatment Outcome-
dc.subject.MESHSubstances-
dc.subject.MESHBiomarkers-
dc.subject.MESHTumor-
dc.subject.MESHOrganoplatinum Compounds-
dc.subject.MESHLeucovorin-
dc.subject.MESHFluorouracil-
dc.subject.MESHSupplementary concept-
dc.subject.MESHFolfox protocol-
dc.titlePrognosis of stage III colorectal carcinomas with FOLFOX adjuvant chemotherapy can be predicted by molecular subtype-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Life Science-
dc.contributor.googleauthorYujin Kwon-
dc.contributor.googleauthorMinhee Park-
dc.contributor.googleauthorMi Jang-
dc.contributor.googleauthorSeongju Yun-
dc.contributor.googleauthorWon Kyu Kim-
dc.contributor.googleauthorSora Kim-
dc.contributor.googleauthorSoonmyung Paik-
dc.contributor.googleauthorHyun Jung Lee-
dc.contributor.googleauthorSungpil Hong-
dc.contributor.googleauthorTae Il Kim-
dc.contributor.googleauthorByungsoh Min-
dc.contributor.googleauthorHoguen Kim-
dc.identifier.doi10.18632/oncotarget.17023-
dc.contributor.localIdA00764-
dc.contributor.localIdA01079-
dc.contributor.localIdA01183-
dc.contributor.localIdA01402-
dc.contributor.localIdA01471-
dc.contributor.localIdA01823-
dc.contributor.localIdA03295-
dc.contributor.localIdA04404-
dc.relation.journalcodeJ02421-
dc.identifier.eissn1949-2553-
dc.identifier.pmid28455965-
dc.subject.keywordDNA microarray-
dc.subject.keywordcolon cancer-
dc.subject.keywordconsensus molecular subtype-
dc.subject.keywordmRNA expression-based molecular classification-
dc.subject.keywordmolecular subtype-
dc.contributor.alternativeNameKim, Won Kyu-
dc.contributor.alternativeNameKim, Tae Il-
dc.contributor.alternativeNameKim, Ho Keun-
dc.contributor.alternativeNameMin, Byung Soh-
dc.contributor.alternativeNamePark, Min Hee-
dc.contributor.alternativeNamePaik, Soon Myung-
dc.contributor.alternativeNameLee, Hyun Jung-
dc.contributor.alternativeNameHong, Sung Pil-
dc.contributor.affiliatedAuthorKim, Won Kyu-
dc.contributor.affiliatedAuthorKim, Tae Il-
dc.contributor.affiliatedAuthorKim, Ho Keun-
dc.contributor.affiliatedAuthorMin, Byung Soh-
dc.contributor.affiliatedAuthorPark, Min Hee-
dc.contributor.affiliatedAuthorPaik, Soon Myung-
dc.contributor.affiliatedAuthorLee, Hyun Jung-
dc.contributor.affiliatedAuthorHong, Sung Pil-
dc.citation.volume8-
dc.citation.number24-
dc.citation.startPage39367-
dc.citation.endPage39381-
dc.identifier.bibliographicCitationONCOTARGET, Vol.8(24) : 39367-39381, 2017-
dc.identifier.rimsid51385-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > BioMedical Science Institute (의생명과학부) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers

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