Transcriptional profiles underpin microsatellite status and associated features in colon cancer

John Hogan; Kathryn DeJulius; Xiuli Liu; John C. Coffey; Matthew F. Kalady

doi:10.1016/j.gene.2015.02.057

Transcriptional profiles underpin microsatellite status and associated features in colon cancer

John Hogan, Kathryn DeJulius, Xiuli Liu, John C. Coffey, Matthew F. Kalady

School of Medicine

Research output: Contribution to journal › Article › peer-review

Abstract

Introduction: While microsatellite instability is associated with prognosis and distinct clinical phenotypes in colon cancer, the basis for this remains incompletely defined. Novel bioinformatic techniques enable a detailed interrogation of the relationship between gene expression profiles and tumor characteristics. Aim: We aimed to determine if microsatellite instability high (MSI-H) and microsatellite stable (MSS) tumors could be differentiated by gene expression profiles. We investigated the basis of this using a system and network based algorithmic approach. Methods: Microsatellite status was established using a polymerase chain reaction (PCR) panel and fragment length analysis.

Original language	English
Pages (from-to)	36-43
Number of pages	8
Journal	Gene
Volume	570
Issue number	1
DOIs	https://doi.org/10.1016/j.gene.2015.02.057
Publication status	Published - 1 Oct 2015

Keywords

Colon cancer
Gene expression microarray
Microsatellite instability
Network analysis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.gene.2015.02.057

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title = "Transcriptional profiles underpin microsatellite status and associated features in colon cancer",

abstract = "Introduction: While microsatellite instability is associated with prognosis and distinct clinical phenotypes in colon cancer, the basis for this remains incompletely defined. Novel bioinformatic techniques enable a detailed interrogation of the relationship between gene expression profiles and tumor characteristics. Aim: We aimed to determine if microsatellite instability high (MSI-H) and microsatellite stable (MSS) tumors could be differentiated by gene expression profiles. We investigated the basis of this using a system and network based algorithmic approach. Methods: Microsatellite status was established using a polymerase chain reaction (PCR) panel and fragment length analysis.",

keywords = "Colon cancer, Gene expression microarray, Microsatellite instability, Network analysis",

author = "John Hogan and Kathryn DeJulius and Xiuli Liu and Coffey, {John C.} and Kalady, {Matthew F.}",

note = "Publisher Copyright: {\textcopyright} 2015 Elsevier B.V..",

year = "2015",

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doi = "10.1016/j.gene.2015.02.057",

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T1 - Transcriptional profiles underpin microsatellite status and associated features in colon cancer

AU - Hogan, John

AU - DeJulius, Kathryn

AU - Liu, Xiuli

AU - Coffey, John C.

AU - Kalady, Matthew F.

PY - 2015/10/1

Y1 - 2015/10/1

N2 - Introduction: While microsatellite instability is associated with prognosis and distinct clinical phenotypes in colon cancer, the basis for this remains incompletely defined. Novel bioinformatic techniques enable a detailed interrogation of the relationship between gene expression profiles and tumor characteristics. Aim: We aimed to determine if microsatellite instability high (MSI-H) and microsatellite stable (MSS) tumors could be differentiated by gene expression profiles. We investigated the basis of this using a system and network based algorithmic approach. Methods: Microsatellite status was established using a polymerase chain reaction (PCR) panel and fragment length analysis.

AB - Introduction: While microsatellite instability is associated with prognosis and distinct clinical phenotypes in colon cancer, the basis for this remains incompletely defined. Novel bioinformatic techniques enable a detailed interrogation of the relationship between gene expression profiles and tumor characteristics. Aim: We aimed to determine if microsatellite instability high (MSI-H) and microsatellite stable (MSS) tumors could be differentiated by gene expression profiles. We investigated the basis of this using a system and network based algorithmic approach. Methods: Microsatellite status was established using a polymerase chain reaction (PCR) panel and fragment length analysis.

KW - Colon cancer

KW - Gene expression microarray

KW - Microsatellite instability

KW - Network analysis

UR - http://www.scopus.com/inward/record.url?scp=84937724338&partnerID=8YFLogxK

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DO - 10.1016/j.gene.2015.02.057

M3 - Article

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AN - SCOPUS:84937724338

SN - 0378-1119

VL - 570

SP - 36

EP - 43

JO - Gene

JF - Gene

IS - 1

ER -

Transcriptional profiles underpin microsatellite status and associated features in colon cancer

Abstract

Keywords

UN SDGs

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