ArticleBritish journal of cancer2016
Chromatin changes predict recurrence after radical prostatectomy.
Article in British journal of cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed, 16 citations in OpenAlex.
- Nondestructive 3D pathology with analysis of nuclear features for prostate cancer risk assessment.The Journal of pathology · 2023Article
- Nuclear morphometrics and chromatin condensation patterns as disease biomarkers using a mobile microscope.PloS one · 2019Article
- Assessment of the Utility of Gene Positioning Biomarkers in the Stratification of Prostate Cancers.Frontiers in genetics · 2019Article
- Association Between Proportion of Nuclei With High Chromatin Entropy and Prognosis in Gynecological Cancers.Journal of the National Cancer Institute · 2018Article
- Advances in the computational and molecular understanding of the prostate cancer cell nucleus.Journal of cellular biochemistry · 2018Review
- Chromatin organisation and cancer prognosis: a pan-cancer study.The Lancet. Oncology · 2018Article
- Prostate cancer: Nucleotyping predicts recurrence post-RP.Nature reviews. Urology · 2016Article
- Spatial Genome Organization and Its Emerging Role as a Potential Diagnosis Tool.Frontiers in genetics · 2016Review
Corrections and comments
- Commented on by
Authors and funding
13 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPathological evaluations give the best prognostic markers for prostate cancer patients after radical prostatectomy, but the observer variance is substantial. These risk assessments should be supported and supplemented by objective methods for identifying patients at increased risk of recurrence. Markers of epigenetic aberrations have shown promising results in several cancer types and can be assessed by automatic analysis of chromatin organisation in tumour cell nuclei.
methodsA consecutive series of 317 prostate cancer patients treated with radical prostatectomy at a national hospital between 1987 and 2005 were followed for a median of 10 years (interquartile range, 7-14). On average three tumour block samples from each patient were included to account for tumour heterogeneity. We developed a novel marker, termed Nucleotyping, based on automatic assessment of disordered chromatin organisation, and validated its ability to predict recurrence after radical prostatectomy.
resultsNucleotyping predicted recurrence with a hazard ratio (HR) of 3.3 (95% confidence interval (CI), 2.1-5.1). With adjustment for clinical and pathological characteristics, the HR was 2.5 (95% CI, 1.5-4.1). An updated stratification into three risk groups significantly improved the concordance with patient outcome compared with a state-of-the-art risk-stratification tool (P<0.001). The prognostic impact was most evident for the patients who were high-risk by clinical and pathological characteristics and for patients with Gleason score 7.
conclusionA novel assessment of epigenetic aberrations was capable of improving risk stratification after radical prostatectomy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.