Evidence map›Paper›PMID 32149736›Full record

ArticleThe Journal of clinical investigation2020

Genome-wide plasma DNA methylation features of metastatic prostate cancer.

Anjui Wu, Paolo Cremaschi, Daniel Wetterskog, Vincenza Conteduca, Gian Marco Franceschini, Dimitrios Kleftogiannis, Anuradha Jayaram, Shahneen Sandhu, Stephen Q Wong, Matteo Benelli and 10 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in The Journal of clinical investigation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06981377 (Development of the PRIME Test for the Identification of Prostate Cancer Patients' Biomarkers Through Non-invasive Liquid Biopsies), which is not on this map. Cited by 63 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 2 pooled it
9.7field-weighted citation impact, top 1% 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.

NCT06981377 recruitingnot on this map

Development of the PRIME Test for the Identification of Prostate Cancer Patients' Biomarkers Through Non-invasive Liquid Biopsies

TypeobservationalSponsorSanta Chiara HospitalRan2019 to 2027Enrolled800ConditionsMetastatic Prostate CancerArmsAnalysis of cell free DNA, and extracellular vesicles (EVs) and EV-associated molecular components (including RNA, DNA, proteins)
3 · Its place in the literature

Who cites it

63 citing papers in PubMed, 2 syntheses or guidelines pooled it, 103 citations in OpenAlex.

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  18. A review on trends in development and translation of omics signatures in cancer.Computational and structural biotechnology journal · 2024
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3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 6 institutions in 5 countries.

Anjui WuUniversity College London Cancer Institute, London, United Kingdom.
Paolo CremaschiUniversity College London Cancer Institute, London, United Kingdom.
Daniel WetterskogUniversity College London Cancer Institute, London, United Kingdom.
Vincenza ConteducaIstituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy.
Gian Marco FranceschiniCentre for Integrative Biology, University of Trento, Trento, Italy.
Dimitrios KleftogiannisCentre for Evolution and Cancer, The Institute of Cancer Research, London, United Kingdom.
Anuradha JayaramUniversity College London Cancer Institute, London, United Kingdom.
Shahneen SandhuPeter MacCallum Cancer Centre and the University of Melbourne, Melbourne, Victoria, Australia.
Stephen Q WongPeter MacCallum Cancer Centre and the University of Melbourne, Melbourne, Victoria, Australia.
Matteo BenelliCentre for Integrative Biology, University of Trento, Trento, Italy.
Samanta SalviIstituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy.
Giorgia GurioliIstituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy.
Andrew FeberUniversity College London Cancer Institute, London, United Kingdom.
Mariana Buongermino PereiraUniversity College London Cancer Institute, London, United Kingdom.
Anna Maria WingateUniversity College London Cancer Institute, London, United Kingdom.
Enrique Gonzalez-BillalebeitiaServicio de Hematología y Oncología Médica, Hospital Universitario Morales Meseguer, IMIB-Universidad de Murcia, Murcia, Spain.
Ugo De GiorgiIstituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy.
Francesca DemichelisCentre for Integrative Biology, University of Trento, Trento, Italy.
Stefano LiseCentre for Evolution and Cancer, The Institute of Cancer Research, London, United Kingdom.
Gerhardt AttardUniversity College London Cancer Institute, London, United Kingdom.
London Cancer · GBIstituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori · ITInstitute of Cancer Research · GBUniversity of Trento · ITThe University of Melbourne · AUHospital General Universitario Morales Meseguer · ES

Funding

Cancer Research UK 26822Cancer Research UK A22744Medical Research Council MR/P002072/1Medical Research Council MR/P002072/2
6 · The paper itself

Abstract

Tumor DNA circulates in the plasma of cancer patients admixed with DNA from noncancerous cells. The genomic landscape of plasma DNA has been characterized in metastatic castration-resistant prostate cancer (mCRPC) but the plasma methylome has not been extensively explored. Here, we performed next-generation sequencing (NGS) on plasma DNA with and without bisulfite treatment from mCRPC patients receiving either abiraterone or enzalutamide in the pre- or post-chemotherapy setting. Principal component analysis on the mCRPC plasma methylome indicated that the main contributor to methylation variance (principal component one, or PC1) was strongly correlated with genomically determined tumor fraction (r = -0.96; P < 10-8) and characterized by hypermethylation of targets of the polycomb repressor complex 2 components. Further deconvolution of the PC1 top-correlated segments revealed that these segments are comprised of methylation patterns specific to either prostate cancer or prostate normal epithelium. To extract information specific to an individual's cancer, we then focused on an orthogonal methylation signature, which revealed enrichment for androgen receptor binding sequences and hypomethylation of these segments associated with AR copy number gain. Individuals harboring this methylation pattern had a more aggressive clinical course. Plasma methylome analysis can accurately quantitate tumor fraction and identify distinct biologically relevant mCRPC phenotypes.

Indexed as

Circulating Tumor DNADNA MethylationEpigenesis, GeneticGene Expression Regulation, NeoplasticProstatic NeoplasmsAdultAgedAged, 80 and overGenome-Wide Association StudyHumansMaleMiddle AgedNeoplasm MetastasisCirculating Tumor DNACancerEpigeneticsGeneticsOncologyProstate cancer

Identifiers

PMID32149736
PMCPMC7108919
OpenAlexW3010648998

What OpenQuestion holds

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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.