Evidence map›Paper›PMID 25808739›Full record

ArticleThe Prostate2015

Prostate cancer marker panel with single cell sensitivity in urine.

Kristen P Nickens, Amina Ali, Tatiana Scoggin, Shyh-Han Tan, Lakshmi Ravindranath, David G McLeod, Albert Dobi, David Tacha, Isabell A Sesterhenn, Shiv Srivastava and 1 more

Open access · hybridAbstract read
In one paragraph

Article in The Prostate, 2015. 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
2.9field-weighted citation impact, top 9% 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, 28 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Approaches to urinary detection of prostate cancer.Prostate cancer and prostatic diseases · 2019
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
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 2 institutions in 1 country.

Kristen P NickensDepartment of Surgery, Center for Prostate Disease Research, Uniformed Services University of the Health Sciences, Bethesda, Maryland.
Amina Ali
Tatiana Scoggin
Shyh-Han Tan
Lakshmi Ravindranath
David G McLeod
Albert Dobi
David Tacha
Isabell A Sesterhenn
Shiv Srivastava
Gyorgy Petrovics
Walter Reed National Military Medical Center · USUniformed Services University of the Health Sciences · US

Funding

Cell Specific Expression Signatures in Prostate Cancer (RO1 DK065977)R01CA162383 · NCI · HENRY M. JACKSON FDN FOR THE ADV MIL/MED · PI SRIVASTAVA, SHIV · 2011 to 2015
$1.1M
NCI NIH HHS R01 CA162383NCI NIH HHS R01 CA162383-05
6 · The paper itself

Abstract

backgroundOver one million men undergo prostate biopsies annually in the United States, a majority of whom due to elevated serum PSA. More than half of the biopsies turn out to be negative for prostate cancer (CaP). The limitations of both the PSA test and the biopsy procedure have led to the development for more precise CaP detection assays in urine (e.g., PCA3, TMPRSS2-ERG) or blood (e.g., PHI, 4K). Here, we describe the development and evaluation of the Urine CaP Marker Panel (UCMP) assay for sensitive and reproducible detection of CaP cells in post-digital rectal examination (post-DRE) urine.

methodsThe cellular content of the post-DRE urine was captured on a translucent filter membrane, which is placed on Cytoclear slides for direct evaluation by microscopy and immuno-cytochemistry (ICC). Cells captured on the membrane were assayed for PSA and Prostein expression to identify prostate epithelial cells, and for ERG and AMACR to identify prostate tumor cells. Immunostained cells were analyzed for quantitative and qualitative features and correlated with biopsy positive and negative status for malignancy.

resultsThe assay was optimized for single cell capture sensitivity and downstream evaluations by spiking a known number of cells from established CaP cell lines, LNCaP and VCaP, into pre-cleared control urine. The cells captured from the post-DRE urine of subjects, obtained prior to biopsy procedure, were co-stained for ERG, AMACR (CaP specific), and Prostein or PSA (prostate epithelium specific) rendering a whole cell based analysis and characterization. A feasibility cohort of 63 post-DRE urine specimens was assessed. Comparison of the UCMP results with blinded biopsy results showed an assay sensitivity of 64% (16 of 25) and a specificity of 68.8% (22 of 32) for CaP detection by biopsy.

conclusionsThis pilot study assessing a minimally invasive CaP detection assay with single cell sensitivity cell-capture and characterization from the post-DRE urine holds promise for further development of this novel assay platform. Prostate 75: 969-975, 2015. © 2015 The Authors. The Prostate, published by Wiley Periodicals, Inc.

Indexed as

Biomarkers, TumorCell Line, TumorCohort StudiesHumansImmunohistochemistryKallikreinsMaleMembrane ProteinsPilot ProjectsProstate-Specific AntigenProstatic NeoplasmsRacemases and EpimerasesReproducibility of ResultsSensitivity and SpecificityTrans-ActivatorsTranscriptional Regulator ERGalpha-methylacyl-CoA racemaseBiomarkers, TumorERG protein, humanKallikreinsKLK3 protein, humanMembrane ProteinsProstate-Specific AntigenprosteinRacemases and EpimerasesTrans-ActivatorsTranscriptional Regulator ERGbiomarker panelcell captureprostate cancerurine

Identifiers

PMID25808739
PMCPMC4424114
OpenAlexW1513919137

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.