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 inJNCI : Journal of the National Cancer Institute Vol. 110; no. 12; pp. 1400 - 1408
Main Authors Nielsen, Birgitte, Kleppe, Andreas, Hveem, Tarjei Sveinsgjerd, Pradhan, Manohar, Syvertsen, Rolf Anders, Nesheim, John Arne, Kristensen, Gunnar Balle, Trovik, Jone, Kerr, David James, Albregtsen, Fritz, Danielsen, Håvard Emil
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Published United States 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.
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
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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
URI https://www.ncbi.nlm.nih.gov/pubmed/29684152
https://search.proquest.com/docview/2031029503
https://pubmed.ncbi.nlm.nih.gov/PMC6292794
Volume 110
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