Evidence map›Paper›PMID 33509203›Full record

ArticleJournal of translational medicine2021

Chromatin conformation changes in peripheral blood can detect prostate cancer and stratify disease risk groups.

Heba Alshaker, Robert Mills, Ewan Hunter, Matthew Salter, Aroul Ramadass, Benjamin Matthew Skinner, Willem Westra, Jayne Green, Alexandre Akoulitchev, Mathias Winkler and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

15 citing papers in PubMed, 21 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Heba AlshakerSchool of Medicine, University of East Anglia, Norwich, UK.
Robert MillsDepartment of Urology, Norfolk and Norwich NHS Trust, Norwich, UK.
Ewan HunterOxford BioDynamics Limited, Oxford, UK.
Matthew SalterOxford BioDynamics Limited, Oxford, UK.
Aroul RamadassOxford BioDynamics Limited, Oxford, UK.
Benjamin Matthew SkinnerSchool of Life Sciences, University of Essex, Wivenhow Park, Colchester, CO4 3SQ, UK.
Willem WestraOxford BioDynamics Limited, Oxford, UK.
Jayne GreenOxford BioDynamics Limited, Oxford, UK.
Alexandre AkoulitchevOxford BioDynamics Limited, Oxford, UK.
Mathias WinklerDepartment of Surgery and Cancer, Imperial College London, London, UK.
Dmitri PchejetskiSchool of Medicine, University of East Anglia, Norwich, UK. d.pshezhetskiy@uea.ac.uk.ORCID 0000-0003-1074-9261
University of East Anglia · GBImperial College London · GBUniversity of Essex · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent diagnostic blood tests for prostate cancer (PCa) are unreliable for the early stage disease, resulting in numerous unnecessary prostate biopsies in men with benign disease and false reassurance of negative biopsies in men with PCa. Predicting the risk of PCa is pivotal for making an informed decision on treatment options as the 5-year survival rate in the low-risk group is more than 95% and most men would benefit from surveillance rather than active treatment. Three-dimensional genome architecture and chromosome structures undergo early changes during tumourigenesis both in tumour and in circulating cells and can serve as a disease biomarker.

methodsIn this prospective study we screened whole blood of newly diagnosed, treatment naïve PCa patients (n = 140) and cancer-free controls (n = 96) for the presence of 14,241 chromosomal loops in the loci of 425 genes.

resultsWe have detected specific chromosome conformation changes in the loci of ETS1, MAP3K14, SLC22A3 and CASP2 genes in peripheral blood from PCa patients yielding PCa detection with 80% sensitivity and 80% specificity. Further analysis between PCa risk groups yielded prognostic validation sets consisting of HSD3B2, VEGFC, APAF1, BMP6, ERG, MSR1, MUC1, ACAT1 and DAPK1 genes that achieved 80% sensitivity and 93% specificity stratifying high-risk category 3 vs low risk category 1 and 84% sensitivity and 89% specificity stratifying high risk category 3 vs intermediate risk category 2 disease.

conclusionsOur results demonstrate specific chromosome conformations in the blood of PCa patients that allow PCa diagnosis and risk stratification with high sensitivity and specificity.

Indexed as

ChromatinProstatic NeoplasmsHumansMalePrognosisProspective StudiesProstate-Specific AntigenChromatinProstate-Specific AntigenBlood testDiagnosisEpigeneticsNucleomePrognosisProstate cancer

Identifiers

PMID33509203
PMCPMC7845038
OpenAlexW3123027848

What OpenQuestion holds

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Registered trials

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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.