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Meta-analysis of clinical data using human meiotic genes identifies a novel cohort of highly restricted cancer-specific marker genes

Identifying cancer-specific biomarkers represents an ongoing challenge to the development of novel cancer diagnostic, prognostic and therapeutic strategies. Cancer/testis (CT) genes are an important gene family with expression tightly restricted to the testis in normal individuals but which can also...

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Autores principales: Feichtinger, Julia, Aldeailej, Ibrahim, Anderson, Rebecca, Almutairi, Mikhlid, Almatrafi, Ahmed, Alsiwiehri, Naif, Griffiths, Keith, Stuart, Nicholas, Wakeman, Jane A., Larcombe, Lee, McFarlane, Ramsay J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3478461/
https://www.ncbi.nlm.nih.gov/pubmed/22918178
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author Feichtinger, Julia
Aldeailej, Ibrahim
Anderson, Rebecca
Almutairi, Mikhlid
Almatrafi, Ahmed
Alsiwiehri, Naif
Griffiths, Keith
Stuart, Nicholas
Wakeman, Jane A.
Larcombe, Lee
McFarlane, Ramsay J.
author_facet Feichtinger, Julia
Aldeailej, Ibrahim
Anderson, Rebecca
Almutairi, Mikhlid
Almatrafi, Ahmed
Alsiwiehri, Naif
Griffiths, Keith
Stuart, Nicholas
Wakeman, Jane A.
Larcombe, Lee
McFarlane, Ramsay J.
author_sort Feichtinger, Julia
collection PubMed
description Identifying cancer-specific biomarkers represents an ongoing challenge to the development of novel cancer diagnostic, prognostic and therapeutic strategies. Cancer/testis (CT) genes are an important gene family with expression tightly restricted to the testis in normal individuals but which can also be activated in cancers. Here we develop a pipeline to identify new CT genes. We analysed and validated expression profiles of human meiotic genes in normal and cancerous tissue followed by meta-analyses of clinical data sets from a range of tumour types resulting in the identification of a large cohort of highly specific cancer biomarker genes, including the recombination hot spot activator PRDM9 and the meiotic cohesin genes SMC1beta and RAD21L. These genes not only provide excellent cancer biomarkers for diagnostics and prognostics, but may serve as oncogenes and have excellent drug targeting potential.
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spelling pubmed-34784612012-10-24 Meta-analysis of clinical data using human meiotic genes identifies a novel cohort of highly restricted cancer-specific marker genes Feichtinger, Julia Aldeailej, Ibrahim Anderson, Rebecca Almutairi, Mikhlid Almatrafi, Ahmed Alsiwiehri, Naif Griffiths, Keith Stuart, Nicholas Wakeman, Jane A. Larcombe, Lee McFarlane, Ramsay J. Oncotarget Research Papers Identifying cancer-specific biomarkers represents an ongoing challenge to the development of novel cancer diagnostic, prognostic and therapeutic strategies. Cancer/testis (CT) genes are an important gene family with expression tightly restricted to the testis in normal individuals but which can also be activated in cancers. Here we develop a pipeline to identify new CT genes. We analysed and validated expression profiles of human meiotic genes in normal and cancerous tissue followed by meta-analyses of clinical data sets from a range of tumour types resulting in the identification of a large cohort of highly specific cancer biomarker genes, including the recombination hot spot activator PRDM9 and the meiotic cohesin genes SMC1beta and RAD21L. These genes not only provide excellent cancer biomarkers for diagnostics and prognostics, but may serve as oncogenes and have excellent drug targeting potential. Impact Journals LLC 2012-08-13 /pmc/articles/PMC3478461/ /pubmed/22918178 Text en Copyright: © 2012 Feichtinger et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
spellingShingle Research Papers
Feichtinger, Julia
Aldeailej, Ibrahim
Anderson, Rebecca
Almutairi, Mikhlid
Almatrafi, Ahmed
Alsiwiehri, Naif
Griffiths, Keith
Stuart, Nicholas
Wakeman, Jane A.
Larcombe, Lee
McFarlane, Ramsay J.
Meta-analysis of clinical data using human meiotic genes identifies a novel cohort of highly restricted cancer-specific marker genes
title Meta-analysis of clinical data using human meiotic genes identifies a novel cohort of highly restricted cancer-specific marker genes
title_full Meta-analysis of clinical data using human meiotic genes identifies a novel cohort of highly restricted cancer-specific marker genes
title_fullStr Meta-analysis of clinical data using human meiotic genes identifies a novel cohort of highly restricted cancer-specific marker genes
title_full_unstemmed Meta-analysis of clinical data using human meiotic genes identifies a novel cohort of highly restricted cancer-specific marker genes
title_short Meta-analysis of clinical data using human meiotic genes identifies a novel cohort of highly restricted cancer-specific marker genes
title_sort meta-analysis of clinical data using human meiotic genes identifies a novel cohort of highly restricted cancer-specific marker genes
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3478461/
https://www.ncbi.nlm.nih.gov/pubmed/22918178
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