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Identifying molecular subtypes related to clinicopathologic factors in pancreatic cancer

DC Field Value Language
dc.contributor.authorKim, Shinuk-
dc.contributor.authorKang, Mee Joo-
dc.contributor.authorLee, Seungyeoun-
dc.contributor.authorBae, Soohyun-
dc.contributor.authorHan, Sangjo-
dc.contributor.authorJang, Jin-Young-
dc.contributor.authorPark, Taesung-
dc.date.accessioned2017-03-20T05:33:29Z-
dc.date.available2017-03-20T15:16:13Z-
dc.date.issued2014-12-11-
dc.identifier.citationBioMedical Engineering OnLine, 13(Suppl 2):S5ko_KR
dc.identifier.urihttps://hdl.handle.net/10371/109856-
dc.description.abstractBackground
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal tumors and usually presented with locally advanced and distant metastasis disease, which prevent curative resection or treatments. In this regard, we considered identifying molecular subtypes associated with clinicopathological factor as prognosis factors to stratify PDAC for appropriate treatment of patients.

Results
In this study, we identified three molecular subtypes which were significant on survival time and metastasis. We also identified significant genes and enriched pathways represented for each molecular subtype. Considering R0 resection patients included in each subtype, metastasis and survival times are significantly associated with subtype 1 and subtype 2.

Conclusions
We observed three PDAC molecular subtypes and demonstrated that those subtypes were significantly related with metastasis and survival time. The study may have utility in stratifying patients for cancer treatment.
ko_KR
dc.language.isoenko_KR
dc.publisherBioMed Centralko_KR
dc.titleIdentifying molecular subtypes related to clinicopathologic factors in pancreatic cancerko_KR
dc.typeArticleko_KR
dc.contributor.AlternativeAuthor김신욱-
dc.contributor.AlternativeAuthor강미주-
dc.contributor.AlternativeAuthor이승연-
dc.contributor.AlternativeAuthor배수현-
dc.contributor.AlternativeAuthor한상조-
dc.contributor.AlternativeAuthor장진영-
dc.contributor.AlternativeAuthor박태성-
dc.language.rfc3066en-
dc.rights.holderKim et al.; licensee BioMed Central Ltd.-
dc.date.updated2017-01-06T10:41:18Z-
Appears in Collections:
College of Natural Sciences (자연과학대학)Dept. of Statistics (통계학과)Journal Papers (저널논문_통계학과)
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