Dataset Information

Integrated Multiregional Analysis Proposing a New Model of Colorectal Cancer Evolution.

ABSTRACT: Understanding intratumor heterogeneity is clinically important because it could cause therapeutic failure by fostering evolutionary adaptation. To this end, we profiled the genome and epigenome in multiple regions within each of nine colorectal tumors. Extensive intertumor heterogeneity is observed, from which we inferred the evolutionary history of the tumors. First, clonally shared alterations appeared, in which C>T transitions at CpG site and CpG island hypermethylation were relatively enriched. Correlation between mutation counts and patients' ages suggests that the early-acquired alterations resulted from aging. In the late phase, a parental clone was branched into numerous subclones. Known driver alterations were observed frequently in the early-acquired alterations, but rarely in the late-acquired alterations. Consistently, our computational simulation of the branching evolution suggests that extensive intratumor heterogeneity could be generated by neutral evolution. Collectively, we propose a new model of colorectal cancer evolution, which is useful for understanding and confronting this heterogeneous disease.

SUBMITTER: Uchi R

PROVIDER: S-EPMC4758664 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Integrated Multiregional Analysis Proposing a New Model of Colorectal Cancer Evolution.

Uchi Ryutaro R Takahashi Yusuke Y Niida Atsushi A Shimamura Teppei T Hirata Hidenari H Sugimachi Keishi K Sawada Genta G Iwaya Takeshi T Kurashige Junji J Shinden Yoshiaki Y Iguchi Tomohiro T Eguchi Hidetoshi H Chiba Kenichi K Shiraishi Yuichi Y Nagae Genta G Yoshida Kenichi K Nagata Yasunobu Y Haeno Hiroshi H Yamamoto Hirofumi H Ishii Hideshi H Doki Yuichiro Y Iinuma Hisae H Sasaki Shin S Nagayama Satoshi S Yamada Kazutaka K Yachida Shinichi S Kato Mamoru M Shibata Tatsuhiro T Oki Eiji E Saeki Hiroshi H Shirabe Ken K Oda Yoshinao Y Maehara Yoshihiko Y Komune Shizuo S Mori Masaki M Suzuki Yutaka Y Yamamoto Ken K Aburatani Hiroyuki H Ogawa Seishi S Miyano Satoru S Mimori Koshi K

PLoS genetics 20160218 2

Understanding intratumor heterogeneity is clinically important because it could cause therapeutic failure by fostering evolutionary adaptation. To this end, we profiled the genome and epigenome in multiple regions within each of nine colorectal tumors. Extensive intertumor heterogeneity is observed, from which we inferred the evolutionary history of the tumors. First, clonally shared alterations appeared, in which C>T transitions at CpG site and CpG island hypermethylation were relatively enrich ...[more]

PMID: 26890883

Similar Datasets

Project description:BACKGROUND:Electronic health (eHealth) literacy was conceptualized in 2006 as the ability of internet users to locate, evaluate, and act upon web-based health information. Now, advances in eHealth technology have cultivated transactional opportunities for patients to access, share, and monitor health information. However, empirical evidence shows that existing models and measures of eHealth literacy have limited theoretical underpinnings that reflect the transactional capabilities of eHealth. This paper describes a conceptual model based on the Transactional Model of Communication (TMC), in which eHealth literacy is described as an intrapersonal skillset hypothesized as being dynamic; reciprocal; and shaped by social, relational, and cultural contexts. OBJECTIVE:The objective of our study was to systematically examine eHealth literacy definitions, models, and measures to propose a refined conceptual and operational definition based on the TMC. METHODS:Walker and Avant's concept analysis method was used to guide the systematic review of eHealth literacy definitions (n=10), rating scales (n=6), models (n=4), and peer-reviewed model applications (n=16). Subsequent cluster analyses showed salient themes across definitions. Dimensions, antecedents, and consequences reflected in models and measures were extracted and deductively analyzed based on codes consistent with the TMC. RESULTS:Systematic review evidence revealed incongruity between operational eHealth literacy included in definitions compared with literacies included within models and measures. Theoretical underpinnings of eHealth literacy also remain dismal. Despite the transactional capabilities of eHealth, the role of "communication" in eHealth literacy remains underdeveloped and does not account for physical and cognitive processing abilities necessary for multiway transactions. CONCLUSIONS:The Transactional Model of eHealth Literacy and a corresponding definition are proposed. In this novel model, eHealth literacy comprises a hierarchical intrapersonal skillset that mediates the reciprocal effect of contextual factors (ie, user oriented and task oriented) on patient engagement in health care. More specifically, the intrapersonal skillset counteracts the negative effect of "noise" (or impediments) produced by social and relational contexts. Cutting across health and technology literacies, the intrapersonal skillset of eHealth literacy is operationalized through four literacies that correspond with discrete operative skills: (1) functional (ie, locate and understand); (2) communicative (ie, exchange); (3) critical (ie, evaluate); and (4) translational (ie, apply).

Dataset Information

Integrated Multiregional Analysis Proposing a New Model of Colorectal Cancer Evolution.

Publications

Integrated Multiregional Analysis Proposing a New Model of Colorectal Cancer Evolution.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure