Predictive gene signatures: molecular markers distinguishing colon adenomatous polyp and carcinoma

Cancers exhibit abnormal molecular signatures associated with disease initiation and progression. Molecular signatures could improve cancer screening, detection, drug development and selection of appropriate drug therapies for individual patients. Typically only very small amounts of tissue are avai...

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Veröffentlicht in:PloS one 2014-11, Vol.9 (11), p.e113071-e113071
Hauptverfasser: Drew, Janice E, Farquharson, Andrew J, Mayer, Claus Dieter, Vase, Hollie F, Coates, Philip J, Steele, Robert J, Carey, Francis A
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container_issue 11
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container_title PloS one
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creator Drew, Janice E
Farquharson, Andrew J
Mayer, Claus Dieter
Vase, Hollie F
Coates, Philip J
Steele, Robert J
Carey, Francis A
description Cancers exhibit abnormal molecular signatures associated with disease initiation and progression. Molecular signatures could improve cancer screening, detection, drug development and selection of appropriate drug therapies for individual patients. Typically only very small amounts of tissue are available from patients for analysis and biopsy samples exhibit broad heterogeneity that cannot be captured using a single marker. This report details application of an in-house custom designed GenomeLab System multiplex gene expression assay, the hCellMarkerPlex, to assess predictive gene signatures of normal, adenomatous polyp and carcinoma colon tissue using archived tissue bank material. The hCellMarkerPlex incorporates twenty-one gene markers: epithelial (EZR, KRT18, NOX1, SLC9A2), proliferation (PCNA, CCND1, MS4A12), differentiation (B4GANLT2, CDX1, CDX2), apoptotic (CASP3, NOX1, NTN1), fibroblast (FSP1, COL1A1), structural (ACTG2, CNN1, DES), gene transcription (HDAC1), stem cell (LGR5), endothelial (VWF) and mucin production (MUC2). Gene signatures distinguished normal, adenomatous polyp and carcinoma. Individual gene targets significantly contributing to molecular tissue types, classifier genes, were further characterised using real-time PCR, in-situ hybridisation and immunohistochemistry revealing aberrant epithelial expression of MS4A12, LGR5 CDX2, NOX1 and SLC9A2 prior to development of carcinoma. Identified gene signatures identify aberrant epithelial expression of genes prior to cancer development using in-house custom designed gene expression multiplex assays. This approach may be used to assist in objective classification of disease initiation, staging, progression and therapeutic responses using biopsy material.
doi_str_mv 10.1371/journal.pone.0113071
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Molecular signatures could improve cancer screening, detection, drug development and selection of appropriate drug therapies for individual patients. Typically only very small amounts of tissue are available from patients for analysis and biopsy samples exhibit broad heterogeneity that cannot be captured using a single marker. This report details application of an in-house custom designed GenomeLab System multiplex gene expression assay, the hCellMarkerPlex, to assess predictive gene signatures of normal, adenomatous polyp and carcinoma colon tissue using archived tissue bank material. The hCellMarkerPlex incorporates twenty-one gene markers: epithelial (EZR, KRT18, NOX1, SLC9A2), proliferation (PCNA, CCND1, MS4A12), differentiation (B4GANLT2, CDX1, CDX2), apoptotic (CASP3, NOX1, NTN1), fibroblast (FSP1, COL1A1), structural (ACTG2, CNN1, DES), gene transcription (HDAC1), stem cell (LGR5), endothelial (VWF) and mucin production (MUC2). Gene signatures distinguished normal, adenomatous polyp and carcinoma. Individual gene targets significantly contributing to molecular tissue types, classifier genes, were further characterised using real-time PCR, in-situ hybridisation and immunohistochemistry revealing aberrant epithelial expression of MS4A12, LGR5 CDX2, NOX1 and SLC9A2 prior to development of carcinoma. Identified gene signatures identify aberrant epithelial expression of genes prior to cancer development using in-house custom designed gene expression multiplex assays. 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Gene signatures distinguished normal, adenomatous polyp and carcinoma. Individual gene targets significantly contributing to molecular tissue types, classifier genes, were further characterised using real-time PCR, in-situ hybridisation and immunohistochemistry revealing aberrant epithelial expression of MS4A12, LGR5 CDX2, NOX1 and SLC9A2 prior to development of carcinoma. Identified gene signatures identify aberrant epithelial expression of genes prior to cancer development using in-house custom designed gene expression multiplex assays. 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progression</subject><subject>Diagnosis</subject><subject>Diagnosis, Differential</subject><subject>Discriminant analysis</subject><subject>Drug development</subject><subject>Engineering and Technology</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Genes</subject><subject>Genetic Markers</subject><subject>Genomes</subject><subject>Health aspects</subject><subject>Heterogeneity</subject><subject>Homeostasis</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Immunohistochemistry</subject><subject>In Situ Hybridization</subject><subject>Markers</subject><subject>Medical prognosis</subject><subject>Medicine and Health Sciences</subject><subject>Metabolism</subject><subject>Mucin</subject><subject>Mucins</subject><subject>Multiplexing</subject><subject>Netrin-1</subject><subject>Nutrition</subject><subject>Pathology</subject><subject>Patients</subject><subject>Proliferating cell nuclear antigen</subject><subject>Real-Time 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gene signatures: molecular markers distinguishing colon adenomatous polyp and carcinoma</title><author>Drew, Janice E ; Farquharson, Andrew J ; Mayer, Claus Dieter ; Vase, Hollie F ; Coates, Philip J ; Steele, Robert J ; Carey, Francis A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-77c90180a0b7c4d5b97b0065909da955553c6b5a6718d88c54f8469ec1a306473</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Aberration</topic><topic>Adenomatous Polyps - diagnosis</topic><topic>Adenomatous Polyps - genetics</topic><topic>Analysis</topic><topic>Apoptosis</topic><topic>Architecture</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Biomarkers, Tumor - metabolism</topic><topic>Biopsy</topic><topic>Cancer</topic><topic>Cancer genetics</topic><topic>Cancer screening</topic><topic>Carcinoma</topic><topic>CDX2 protein</topic><topic>Collagen (type 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Molecular signatures could improve cancer screening, detection, drug development and selection of appropriate drug therapies for individual patients. Typically only very small amounts of tissue are available from patients for analysis and biopsy samples exhibit broad heterogeneity that cannot be captured using a single marker. This report details application of an in-house custom designed GenomeLab System multiplex gene expression assay, the hCellMarkerPlex, to assess predictive gene signatures of normal, adenomatous polyp and carcinoma colon tissue using archived tissue bank material. The hCellMarkerPlex incorporates twenty-one gene markers: epithelial (EZR, KRT18, NOX1, SLC9A2), proliferation (PCNA, CCND1, MS4A12), differentiation (B4GANLT2, CDX1, CDX2), apoptotic (CASP3, NOX1, NTN1), fibroblast (FSP1, COL1A1), structural (ACTG2, CNN1, DES), gene transcription (HDAC1), stem cell (LGR5), endothelial (VWF) and mucin production (MUC2). Gene signatures distinguished normal, adenomatous polyp and carcinoma. Individual gene targets significantly contributing to molecular tissue types, classifier genes, were further characterised using real-time PCR, in-situ hybridisation and immunohistochemistry revealing aberrant epithelial expression of MS4A12, LGR5 CDX2, NOX1 and SLC9A2 prior to development of carcinoma. Identified gene signatures identify aberrant epithelial expression of genes prior to cancer development using in-house custom designed gene expression multiplex assays. This approach may be used to assist in objective classification of disease initiation, staging, progression and therapeutic responses using biopsy material.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25423035</pmid><doi>10.1371/journal.pone.0113071</doi><oa>free_for_read</oa></addata></record>
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subjects Aberration
Adenomatous Polyps - diagnosis
Adenomatous Polyps - genetics
Analysis
Apoptosis
Architecture
Biology and Life Sciences
Biomarkers
Biomarkers, Tumor - metabolism
Biopsy
Cancer
Cancer genetics
Cancer screening
Carcinoma
CDX2 protein
Collagen (type I)
Colon
Colonic Neoplasms - diagnosis
Colonic Neoplasms - genetics
Colonoscopy
Colorectal cancer
Customization
Development and progression
Diagnosis
Diagnosis, Differential
Discriminant analysis
Drug development
Engineering and Technology
Gene expression
Gene Expression Profiling
Genes
Genetic Markers
Genomes
Health aspects
Heterogeneity
Homeostasis
Hospitals
Humans
Immunohistochemistry
In Situ Hybridization
Markers
Medical prognosis
Medicine and Health Sciences
Metabolism
Mucin
Mucins
Multiplexing
Netrin-1
Nutrition
Pathology
Patients
Proliferating cell nuclear antigen
Real-Time Polymerase Chain Reaction
Research and Analysis Methods
Signatures
Stem cells
Transcription
Transcription factors
title Predictive gene signatures: molecular markers distinguishing colon adenomatous polyp and carcinoma
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