Association Between Proportion of Nuclei With High Chromatin Entropy and Prognosis in Gynecological Cancers
Nuclear texture analysis measuring differences in chromatin structure has provided prognostic biomarkers in several cancers. There is a need for improved cell-by-cell chromatin analysis to detect nuclei with highly disorganized chromatin. The purpose of this study was to develop a method for detecti...
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Published in | JNCI : Journal of the National Cancer Institute Vol. 110; no. 12; pp. 1400 - 1408 |
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Main Authors | , , , , , , , , , , |
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Language | English |
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Oxford University Press
01.12.2018
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Abstract | Nuclear texture analysis measuring differences in chromatin structure has provided prognostic biomarkers in several cancers. There is a need for improved cell-by-cell chromatin analysis to detect nuclei with highly disorganized chromatin. The purpose of this study was to develop a method for detecting nuclei with high chromatin entropy and to evaluate the association between the presence of such deviating nuclei and prognosis.
A new texture-based biomarker that characterizes each cancer based on the proportion of high-chromatin entropy nuclei (<25% vs ≥25%) was developed on a discovery set of 175 uterine sarcomas. The prognostic impact of this biomarker was evaluated on a validation set of 179 uterine sarcomas, as well as on independent validation sets of 246 early-stage ovarian carcinomas and 791 endometrial carcinomas. More than 1 million images of nuclei stained for DNA were included in the study. All statistical tests were two-sided.
An increased proportion of high-chromatin entropy nuclei was associated with poor clinical outcome. The biomarker predicted five-year overall survival for uterine sarcoma patients with a hazard ratio (HR) of 2.02 (95% confidence interval [CI] = 1.43 to 2.84), time to recurrence for ovarian cancer patients (HR = 2.91, 95% CI = 1.74 to 4.88), and cancer-specific survival for endometrial cancer patients (HR = 3.74, 95% CI = 2.24 to 6.24). Chromatin entropy was an independent prognostic marker in multivariable analyses with clinicopathological parameters (HR = 1.81, 95% CI = 1.21 to 2.70, for sarcoma; HR = 1.71, 95% CI = 1.01 to 2.90, for ovarian cancer; and HR = 2.03, 95% CI = 1.19 to 3.45, for endometrial cancer).
A novel method detected high-chromatin entropy nuclei, and an increased proportion of such nuclei was associated with poor prognosis. Chromatin entropy supplemented existing prognostic markers in multivariable analyses of three gynecological cancer cohorts. |
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AbstractList | BackgroundNuclear texture analysis measuring differences in chromatin structure has provided prognostic biomarkers in several cancers. There is a need for improved cell-by-cell chromatin analysis to detect nuclei with highly disorganized chromatin. The purpose of this study was to develop a method for detecting nuclei with high chromatin entropy and to evaluate the association between the presence of such deviating nuclei and prognosis. MethodsA new texture-based biomarker that characterizes each cancer based on the proportion of high-chromatin entropy nuclei (<25% vs ≥25%) was developed on a discovery set of 175 uterine sarcomas. The prognostic impact of this biomarker was evaluated on a validation set of 179 uterine sarcomas, as well as on independent validation sets of 246 early-stage ovarian carcinomas and 791 endometrial carcinomas. More than 1 million images of nuclei stained for DNA were included in the study. All statistical tests were two-sided. ResultsAn increased proportion of high-chromatin entropy nuclei was associated with poor clinical outcome. The biomarker predicted five-year overall survival for uterine sarcoma patients with a hazard ratio (HR) of 2.02 (95% confidence interval [CI] = 1.43 to 2.84), time to recurrence for ovarian cancer patients (HR = 2.91, 95% CI = 1.74 to 4.88), and cancer-specific survival for endometrial cancer patients (HR = 3.74, 95% CI = 2.24 to 6.24). Chromatin entropy was an independent prognostic marker in multivariable analyses with clinicopathological parameters (HR = 1.81, 95% CI = 1.21 to 2.70, for sarcoma; HR = 1.71, 95% CI = 1.01 to 2.90, for ovarian cancer; and HR = 2.03, 95% CI = 1.19 to 3.45, for endometrial cancer). ConclusionsA novel method detected high-chromatin entropy nuclei, and an increased proportion of such nuclei was associated with poor prognosis. Chromatin entropy supplemented existing prognostic markers in multivariable analyses of three gynecological cancer cohorts. Nuclear texture analysis measuring differences in chromatin structure has provided prognostic biomarkers in several cancers. There is a need for improved cell-by-cell chromatin analysis to detect nuclei with highly disorganized chromatin. The purpose of this study was to develop a method for detecting nuclei with high chromatin entropy and to evaluate the association between the presence of such deviating nuclei and prognosis. A new texture-based biomarker that characterizes each cancer based on the proportion of high-chromatin entropy nuclei (<25% vs ≥25%) was developed on a discovery set of 175 uterine sarcomas. The prognostic impact of this biomarker was evaluated on a validation set of 179 uterine sarcomas, as well as on independent validation sets of 246 early-stage ovarian carcinomas and 791 endometrial carcinomas. More than 1 million images of nuclei stained for DNA were included in the study. All statistical tests were two-sided. An increased proportion of high-chromatin entropy nuclei was associated with poor clinical outcome. The biomarker predicted five-year overall survival for uterine sarcoma patients with a hazard ratio (HR) of 2.02 (95% confidence interval [CI] = 1.43 to 2.84), time to recurrence for ovarian cancer patients (HR = 2.91, 95% CI = 1.74 to 4.88), and cancer-specific survival for endometrial cancer patients (HR = 3.74, 95% CI = 2.24 to 6.24). Chromatin entropy was an independent prognostic marker in multivariable analyses with clinicopathological parameters (HR = 1.81, 95% CI = 1.21 to 2.70, for sarcoma; HR = 1.71, 95% CI = 1.01 to 2.90, for ovarian cancer; and HR = 2.03, 95% CI = 1.19 to 3.45, for endometrial cancer). A novel method detected high-chromatin entropy nuclei, and an increased proportion of such nuclei was associated with poor prognosis. Chromatin entropy supplemented existing prognostic markers in multivariable analyses of three gynecological cancer cohorts. |
Author | Trovik, Jone Kerr, David James Kleppe, Andreas Pradhan, Manohar Nesheim, John Arne Kristensen, Gunnar Balle Syvertsen, Rolf Anders Nielsen, Birgitte Hveem, Tarjei Sveinsgjerd Danielsen, Håvard Emil Albregtsen, Fritz |
AuthorAffiliation | 3 Department of Informatics 2 Department of Gynecologic Oncology, Oslo University Hospital, Oslo, Norway 7 Nuffield Division of Clinical Laboratory Sciences, University of Oxford, Oxford, UK 4 Center for Cancer Biomedicine, University of Oslo, Oslo, Norway 6 Center for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway 1 Institute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway 5 Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway |
AuthorAffiliation_xml | – name: 4 Center for Cancer Biomedicine, University of Oslo, Oslo, Norway – name: 3 Department of Informatics – name: 6 Center for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway – name: 5 Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway – name: 2 Department of Gynecologic Oncology, Oslo University Hospital, Oslo, Norway – name: 7 Nuffield Division of Clinical Laboratory Sciences, University of Oxford, Oxford, UK – name: 1 Institute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway |
Author_xml | – sequence: 1 givenname: Birgitte surname: Nielsen fullname: Nielsen, Birgitte organization: Center for Cancer Biomedicine, University of Oslo, Oslo, Norway – sequence: 2 givenname: Andreas surname: Kleppe fullname: Kleppe, Andreas organization: Center for Cancer Biomedicine, University of Oslo, Oslo, Norway – sequence: 3 givenname: Tarjei Sveinsgjerd surname: Hveem fullname: Hveem, Tarjei Sveinsgjerd organization: Center for Cancer Biomedicine, University of Oslo, Oslo, Norway – sequence: 4 givenname: Manohar surname: Pradhan fullname: Pradhan, Manohar organization: Center for Cancer Biomedicine, University of Oslo, Oslo, Norway – sequence: 5 givenname: Rolf Anders surname: Syvertsen fullname: Syvertsen, Rolf Anders organization: Center for Cancer Biomedicine, University of Oslo, Oslo, Norway – sequence: 6 givenname: John Arne surname: Nesheim fullname: Nesheim, John Arne organization: Center for Cancer Biomedicine, University of Oslo, Oslo, Norway – sequence: 7 givenname: Gunnar Balle surname: Kristensen fullname: Kristensen, Gunnar Balle organization: Department of Gynecologic Oncology, Oslo University Hospital, Oslo, Norway – sequence: 8 givenname: Jone surname: Trovik fullname: Trovik, Jone organization: Center for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway – sequence: 9 givenname: David James surname: Kerr fullname: Kerr, David James organization: Nuffield Division of Clinical Laboratory Sciences, University of Oxford, Oxford, UK – sequence: 10 givenname: Fritz surname: Albregtsen fullname: Albregtsen, Fritz organization: Department of Informatics – sequence: 11 givenname: Håvard Emil surname: Danielsen fullname: Danielsen, Håvard Emil organization: Nuffield Division of Clinical Laboratory Sciences, University of Oxford, Oxford, UK |
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Snippet | Nuclear texture analysis measuring differences in chromatin structure has provided prognostic biomarkers in several cancers. There is a need for improved... BackgroundNuclear texture analysis measuring differences in chromatin structure has provided prognostic biomarkers in several cancers. There is a need for... |
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SubjectTerms | Aged Aged, 80 and over Biomarkers, Tumor Cell Nucleus - pathology Chromatin Cohort Studies Entropy Female Genital Neoplasms, Female - epidemiology Genital Neoplasms, Female - etiology Genital Neoplasms, Female - mortality Genital Neoplasms, Female - pathology Humans Kaplan-Meier Estimate Middle Aged Neoplasm Grading Neoplasm Staging Norway - epidemiology Prognosis Registries |
Title | Association Between Proportion of Nuclei With High Chromatin Entropy and Prognosis in Gynecological Cancers |
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