Evidence map›Paper›PMID 29016610›Full record

ArticlePloS one2017

Association between a 17-gene genomic prostate score and multi-parametric prostate MRI in men with low and intermediate risk prostate cancer (PCa).

Michael S Leapman, Antonio C Westphalen, Niloufar Ameli, H Jeffrey Lawrence, Phillip G Febbo, Matthew R Cooperberg, Peter R Carroll

Abstract read
In one paragraph

Article in PloS one, 2017. 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
–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

15 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
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  5. Article
  6. Review
  7. Article
  8. Prostate Cancer Radiogenomics-From Imaging to Molecular Characterization.International journal of molecular sciences · 2021
    Review
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  10. Review
  11. Review
  12. Review
  13. Tissue-based biomarkers in prostate cancer.Expert review of precision medicine and drug development · 2017
    Article
  14. Review
  15. Review
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

7 authors.

Michael S LeapmanDepartments of Urology, Yale University School of Medicine, New Haven, Connecticut, United States of America.
Antonio C WestphalenDepartment of Radiology, University of California San Francisco, San Francisco, California, United States of America.
Niloufar AmeliDepartment of Urology, University of California San Francisco, San Francisco, California, United States of America.
H Jeffrey LawrenceGenomic Health Inc., Redwood City, California, United States of America.
Phillip G FebboGenomic Health Inc., Redwood City, California, United States of America.
Matthew R CooperbergDepartments of Urology, Yale University School of Medicine, New Haven, Connecticut, United States of America.
Peter R CarrollDepartment of Urology, University of California San Francisco, San Francisco, California, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to directly compare results from multi-parametric prostate MRI (mpMRI) and a biopsy-based 17-gene RT-PCR assay providing a Genomic Prostate Score (GPS) among individuals who were candidates for active surveillance with low and intermediate risk prostate cancer (PCa). PATIENTS AND

methodsWe evaluated the association between GPS results (scale 0-100) and endorectal mpMRI findings in men with clinically localized PCa. MR studies were reviewed to a five-tier scale of increasing suspicion of malignancy. Mean apparent diffusion coefficient (ADC) was calculated from a single dominant lesion. Mean rank of the GPS (0-100) among MRI strata was compared with the Kruskal-Wallis test and Dunn's multiple comparison test. Spearman's correlation was performed to examine the association between mean ADC and scaled GPS.

resultsOf 186 patients who received GPS testing, 100 were identified who received mpMRI. Mean GPS results differed between mpMRI categories (p = 0.001); however a broad range was observed in all mpMRI categories. Among men with biopsy Gleason pattern 3+3, mean GPS results were not significantly different among MRI groups (p = 0.179), but GPS differences were seen among MRI categories for patients with pattern 3+4 (p = 0.010). Mean ADC was weakly associated with GPS (σ = -0.151). Stromal response (p = 0.015) and cellular organization (p = 0.045) gene group scores differed significantly by MRI findings, but no differences were seen among androgen signaling or proliferation genes.

conclusionsAlthough a statistically significant association was observed between GPS results and MRI scores, a wide range of GPS values were observed across imaging categories suggesting that mpMRI and genomic profiling may offer non- overlapping clinical insights.

Indexed as

AgedBiopsyGene ExpressionHumansMagnetic Resonance ImagingMaleMiddle AgedNeoplasm GradingNeoplasm ProteinsProstateProstatic NeoplasmsRiskNeoplasm Proteins

Identifiers

PMID29016610
PMCPMC5634556

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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.