Evidence map›Paper›PMID 30929837›Full record

ArticleEuropean urology oncology2019

Genomic Evaluation of Multiparametric Magnetic Resonance Imaging-visible and -nonvisible Lesions in Clinically Localised Prostate Cancer.

Marina A Parry, Shambhavi Srivastava, Adnan Ali, Alessio Cannistraci, Jenny Antonello, João Diogo Barros-Silva, Valentina Ubertini, Vijay Ramani, Maurice Lau, Jonathan Shanks and 11 more

Open access · hybridAbstract read
In one paragraph

Article in European urology oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 39 citations in OpenAlex.

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  11. Prostate zones and cancer: lost in transition?Nature reviews. Urology · 2022
    Review
  12. Prostate Cancer Radiogenomics-From Imaging to Molecular Characterization.International journal of molecular sciences · 2021
    Review
  13. Review
  14. Review
  15. Conspicuity of prostate cancer on multiparametric magnetic resonance imaging: A cross-disciplinary translational hypothesis.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020
    Article
  16. Article
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  18. Review
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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

21 authors at 4 institutions in 1 country.

Marina A ParryMolecular Oncology, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK; Belfast-Manchester Movember Centre of Excellence, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK.
Shambhavi SrivastavaMolecular Oncology, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK; Belfast-Manchester Movember Centre of Excellence, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK; Computational Biology, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK.
Adnan AliBelfast-Manchester Movember Centre of Excellence, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK; Genitourinary Cancer Research Group, Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine & Health, The University of Manchester, Manchester Cancer Research Centre, Manchester, UK; Prostate Oncobiology, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK.
Alessio CannistraciMolecular Oncology, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK; Belfast-Manchester Movember Centre of Excellence, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK.
Jenny AntonelloBelfast-Manchester Movember Centre of Excellence, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK; Clinical and Experimental Pharmacology, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK.
João Diogo Barros-SilvaBelfast-Manchester Movember Centre of Excellence, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK; Prostate Oncobiology, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK.
Valentina UbertiniBelfast-Manchester Movember Centre of Excellence, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK; Prostate Oncobiology, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK.
Vijay RamaniDepartment of Surgery, The Christie NHS Foundation Trust, Manchester, UK.
Maurice LauDepartment of Surgery, The Christie NHS Foundation Trust, Manchester, UK.
Jonathan ShanksDepartment of Pathology, The Christie NHS Foundation Trust, Manchester, UK.
Daisuke NonakaDepartment of Pathology, The Christie NHS Foundation Trust, Manchester, UK.
Pedro OliveiraDepartment of Pathology, The Christie NHS Foundation Trust, Manchester, UK.
Thomas HambrockDepartment of Radiology, The Christie NHS Foundation Trust, Manchester, UK.
Hui Sun LeongComputational Biology, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK.
Nathalie DhomenMolecular Oncology, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK.
Crispin MillerBelfast-Manchester Movember Centre of Excellence, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK; Computational Biology, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK; RNA Biology, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK.
Ged BradyBelfast-Manchester Movember Centre of Excellence, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK; Clinical and Experimental Pharmacology, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK.
Caroline DiveBelfast-Manchester Movember Centre of Excellence, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK; Clinical and Experimental Pharmacology, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK.
Noel W ClarkeBelfast-Manchester Movember Centre of Excellence, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK; Genitourinary Cancer Research Group, Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine & Health, The University of Manchester, Manchester Cancer Research Centre, Manchester, UK; Department of Surgery, The Christie NHS Foundation Trust, Manchester, UK; Department of Urology, Salford NHS Foundation Trust, Salford, UK. Electronic address: noel.clarke@christie.nhs.uk.
Richard MaraisMolecular Oncology, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK; Belfast-Manchester Movember Centre of Excellence, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK. Electronic address: richard.marais@cruk.manchester.ac.uk.
Esther BaenaBelfast-Manchester Movember Centre of Excellence, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK; Prostate Oncobiology, Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park, UK. Electronic address: esther.baena@cruk.manchester.ac.uk.
University of Manchester · GBThe Christie NHS Foundation Trust · GBCancer Research UK Manchester Institute · GBCancer Research UK Manchester Centre

Funding

Cancer Research UK 15675Cancer Research UK 19278Cancer Research UK 19279Cancer Research UK 19996Cancer Research UK 22902Cancer Research UK 29569Prostate Cancer UK CEO13_2-004
6 · The paper itself

Abstract

backgroundThe prostate cancer (PCa) diagnostic pathway is undergoing a radical change with the introduction of multiparametric magnetic resonance imaging (mpMRI), genomic testing, and different prostate biopsy techniques. It has been proposed that these tests should be used in a sequential manner to optimise risk stratification.

objectiveTo characterise the genomic, epigenomic, and transcriptomic features of mpMRI-visible and -nonvisible PCa in clinically localised disease. DESIGN, SETTING, AND

participantsMulticore analysis of fresh prostate tissue sampled immediately after radical prostatectomy was performed for intermediate- to high-risk PCa.

interventionLow-pass whole-genome, exome, methylation, and transcriptome profiling of patient tissue cores taken from microscopically benign and cancerous areas in the same prostate. Circulating free and germline DNA was assessed from the blood of five patients. OUTCOME MEASUREMENT AND STATISTICAL ANALYSIS: Correlations between preoperative mpMRI and genomic characteristics of tumour and benign prostate samples were assessed. Gene profiles for individual tumour cores were correlated with existing genomic classifiers currently used for prognostication. RESULTS AND LIMITATIONS: A total of 43 prostate cores (22 tumour and 21 benign) were profiled from six whole prostate glands. Of the 22 tumour cores, 16 were tumours visible and six were tumours nonvisible on mpMRI. Intratumour genomic, epigenomic, and transcriptomic heterogeneity was found within mpMRI-visible lesions. This could potentially lead to misclassification of patients using signatures based on copy number or RNA expression. Moreover, three of the six cores obtained from mpMRI-nonvisible tumours harboured one or more genetic alterations commonly observed in metastatic castration-resistant PCa. No circulating free DNA alterations were found. Limitations include the small cohort size and lack of follow-up.

conclusionsOur study supports the continued use of systematic prostate sampling in addition to mpMRI, as avoidance of systematic biopsies in patients with negative mpMRI may mean that clinically significant tumours harbouring genetic alterations commonly seen in metastatic PCa are missed. Furthermore, there is inconsistency in individual genomics when genomic classifiers are applied. PATIENT SUMMARY: Our study shows that tumour heterogeneity within prostate tumours visible on multiparametric magnetic resonance imaging (mpMRI) can lead to misclassification of patients if only one core is used for genomic analysis. In addition, some cancers that were missed by mpMRI had genomic aberrations that are commonly seen in advanced metastatic prostate cancer. Avoiding biopsies in mpMRI-negative cases may mean that such potentially lethal cancers are missed.

Indexed as

AgedGenomicsHumansMaleMiddle AgedMultiparametric Magnetic Resonance ImagingProstatic NeoplasmsGenetic heterogeneityMolecular classifiersMultifocal prostate cancerMultiparametric magnetic resonance imaging

Identifiers

PMID30929837
PMCPMC6472613
OpenAlexW2891940037

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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.