Evidence map›Paper›PMID 29684152›Full record

ArticleJournal of the National Cancer Institute2018

Association Between Proportion of Nuclei With High Chromatin Entropy and Prognosis in Gynecological Cancers.

Birgitte Nielsen, Andreas Kleppe, Tarjei Sveinsgjerd Hveem, Manohar Pradhan, Rolf Anders Syvertsen, John Arne Nesheim, Gunnar Balle Kristensen, Jone Trovik, David James Kerr, Fritz Albregtsen and 1 more

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. NScientific reports · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Birgitte NielsenInstitute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway.
Andreas KleppeInstitute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway.
Tarjei Sveinsgjerd HveemInstitute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway.
Manohar PradhanInstitute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway.
Rolf Anders SyvertsenInstitute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway.
John Arne NesheimInstitute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway.
Gunnar Balle KristensenInstitute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway.
Jone TrovikDepartment of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway.
David James KerrNuffield Division of Clinical Laboratory Sciences, University of Oxford, Oxford, UK.
Fritz AlbregtsenInstitute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway.
Håvard Emil DanielsenInstitute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: 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. Methods: 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. Results: 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). Conclusions: 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.

Indexed as

Biomarkers, TumorAgedAged, 80 and overCell NucleusChromatinCohort StudiesEntropyFemaleGenital Neoplasms, FemaleHumansKaplan-Meier EstimateMiddle AgedNeoplasm GradingNeoplasm StagingNorwayPrognosisBiomarkers, TumorChromatin

Identifiers

PMID29684152
PMCPMC6292794

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.