
LINK . SPRINGER . COM {
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Title:
Combined image and genomic analysis of high-grade serous ovarian cancer reveals PTEN loss as a common driver event and prognostic classifier | Genome Biology
Description:
Background TP53 and BRCA1/2 mutations are the main drivers in high-grade serous ovarian carcinoma (HGSOC). We hypothesise that combining tissue phenotypes from image analysis of tumour sections with genomic profiles could reveal other significant driver events. Results Automatic estimates of stromal content combined with genomic analysis of TCGA HGSOC tumours show that stroma strongly biases estimates of PTEN expression. Tumour-specific PTEN expression was tested in two independent cohorts using tissue microarrays containing 521 cases of HGSOC. PTEN loss or downregulation occurred in 77% of the first cohort by immunofluorescence and 52% of the validation group by immunohistochemistry, and is associated with worse survival in a multivariate Cox-regression model adjusted for study site, age, stage and grade. Reanalysis of TCGA data shows that hemizygous loss of PTEN is common (36%) and expression of PTEN and expression of androgen receptor are positively associated. Low androgen receptor expression was associated with reduced survival in data from TCGA and immunohistochemical analysis of the first cohort. Conclusion PTEN loss is a common event in HGSOC and defines a subgroup with significantly worse prognosis, suggesting the rational use of drugs to target PI3K and androgen receptor pathways for HGSOC. This work shows that integrative approaches combining tissue phenotypes from images with genomic analysis can resolve confounding effects of tissue heterogeneity and should be used to identify new drivers in other cancers.
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Keywords {🔍}
pten, expression, cancer, pubmed, hgsoc, ovarian, article, analysis, data, stromal, google, scholar, figure, samples, loss, tcga, cas, study, gene, staining, ihc, content, serous, central, search, genomic, tumour, survival, file, image, tumours, high, positive, brca, low, additional, breast, cell, cambridge, highgrade, tissue, genes, carcinoma, cases, cells, test, acta, table, performed, research,
Topics {✒️}
bacterial artificial chromosome peroxidase-conjugated avidin-biotin complexes irdye800-conjugated anti-rabbit immunoglobulin high-grade fimbrial-ovarian carcinomas article google scholar florian markowetz & james irdye700-conjugated anti-mouse igg hutchison/mrc research centre pten-tp53-deficient prostate cancers tumour-cell-specific pten expression pten rna-sequencing expression immobilon-fluorescence pvdf membrane androgen receptor expression androgen receptor pathways tcga rna-sequencing data higher androgen receptor androgen receptor signaling heat-induced antigen retrieval article download pdf pten-deficient prostate cancer brca2 germ-line mutations kaplan–meier survival curves mercedes jimenez-linan brca1 germ-line mutations tumour-specific pten expression ovarian serous carcinoma serous ovarian cancer compound parp-pi3k inhibition brca1-related breast cancer protein–protein interaction network dominant cell-autonomous drivers full size image ovarian serous cystadenocarcinoma ovarian endometrioid carcinoma androgen receptor protein–protein interaction data low-pten expressing cases tumor suppressor pten author information authors western-blot pten quantification gene-expression-based validation cancer genome atlas endometrioid ovarian cancer view hormone-receptor expression full access gene-expression profiles gene expression profiles privacy choices/manage cookies natl cancer inst
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headline:Combined image and genomic analysis of high-grade serous ovarian cancer reveals PTEN loss as a common driver event and prognostic classifier
description:
TP53 and BRCA1/2 mutations are the main drivers in high-grade serous ovarian carcinoma (HGSOC). We hypothesise that combining tissue phenotypes from image analysis of tumour sections with genomic profiles could reveal other significant driver events. Automatic estimates of stromal content combined with genomic analysis of TCGA HGSOC tumours show that stroma strongly biases estimates of PTEN expression. Tumour-specific PTEN expression was tested in two independent cohorts using tissue microarrays containing 521 cases of HGSOC. PTEN loss or downregulation occurred in 77% of the first cohort by immunofluorescence and 52% of the validation group by immunohistochemistry, and is associated with worse survival in a multivariate Cox-regression model adjusted for study site, age, stage and grade. Reanalysis of TCGA data shows that hemizygous loss of PTEN is common (36%) and expression of PTEN and expression of androgen receptor are positively associated. Low androgen receptor expression was associated with reduced survival in data from TCGA and immunohistochemical analysis of the first cohort.
PTEN loss is a common event in HGSOC and defines a subgroup with significantly worse prognosis, suggesting the rational use of drugs to target PI3K and androgen receptor pathways for HGSOC. This work shows that integrative approaches combining tissue phenotypes from images with genomic analysis can resolve confounding effects of tissue heterogeneity and should be used to identify new drivers in other cancers.
datePublished:2014-12-17T00:00:00Z
dateModified:2014-12-17T00:00:00Z
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Androgen Receptor
Bacterial Artificial Chromosome
PTEN Expression
Androgen Receptor Expression
PTEN Loss
Animal Genetics and Genomics
Human Genetics
Plant Genetics and Genomics
Microbial Genetics and Genomics
Bioinformatics
Evolutionary Biology
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headline:Combined image and genomic analysis of high-grade serous ovarian cancer reveals PTEN loss as a common driver event and prognostic classifier
description:
TP53 and BRCA1/2 mutations are the main drivers in high-grade serous ovarian carcinoma (HGSOC). We hypothesise that combining tissue phenotypes from image analysis of tumour sections with genomic profiles could reveal other significant driver events. Automatic estimates of stromal content combined with genomic analysis of TCGA HGSOC tumours show that stroma strongly biases estimates of PTEN expression. Tumour-specific PTEN expression was tested in two independent cohorts using tissue microarrays containing 521 cases of HGSOC. PTEN loss or downregulation occurred in 77% of the first cohort by immunofluorescence and 52% of the validation group by immunohistochemistry, and is associated with worse survival in a multivariate Cox-regression model adjusted for study site, age, stage and grade. Reanalysis of TCGA data shows that hemizygous loss of PTEN is common (36%) and expression of PTEN and expression of androgen receptor are positively associated. Low androgen receptor expression was associated with reduced survival in data from TCGA and immunohistochemical analysis of the first cohort.
PTEN loss is a common event in HGSOC and defines a subgroup with significantly worse prognosis, suggesting the rational use of drugs to target PI3K and androgen receptor pathways for HGSOC. This work shows that integrative approaches combining tissue phenotypes from images with genomic analysis can resolve confounding effects of tissue heterogeneity and should be used to identify new drivers in other cancers.
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Androgen Receptor
Bacterial Artificial Chromosome
PTEN Expression
Androgen Receptor Expression
PTEN Loss
Animal Genetics and Genomics
Human Genetics
Plant Genetics and Genomics
Microbial Genetics and Genomics
Bioinformatics
Evolutionary Biology
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PostalAddress:
name:Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, UK
name:Department of Obstetrics and Gynaecology, University of Cambridge, The Rosie Hospital, Robinson Way, Cambridge, UK
name:Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, UK
name:Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, UK
name:Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, UK
name:Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, UK
name:Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, UK
name:Department of Pathology, Addenbrooke’s Hospital, Cambridge, UK
name:National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, UK
name:Department of Pathology, Nottingham University Hospital, Nottingham, UK
name:Strangeways Research Laboratories, University of Cambridge, 2 Worts’ Causeway, Cambridge, UK
name:Strangeways Research Laboratories, University of Cambridge, 2 Worts’ Causeway, Cambridge, UK
name:Strangeways Research Laboratories, University of Cambridge, 2 Worts’ Causeway, Cambridge, UK
name:Strangeways Research Laboratories, University of Cambridge, 2 Worts’ Causeway, Cambridge, UK
name:Department of Oncology, University of Cambridge, Hutchison/MRC Research Centre, Cambridge, UK
name:Cambridge Experimental Cancer Medicine Centre, Cambridge, UK
name:Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, UK
name:Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, UK
name:National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, UK
name:Department of Oncology, University of Cambridge, Hutchison/MRC Research Centre, Cambridge, UK
name:Cambridge Experimental Cancer Medicine Centre, Cambridge, UK
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