Evidence map›Paper›PMID 21929308›Full record

ArticleExpert review of anticancer therapy2011

Multiple recognition assay reveals prostasomes as promising plasma biomarkers for prostate cancer.

Raymond S Lance, Richard R Drake, Dean A Troyer

Abstract readComment
PubMed Publisher
In one paragraph

Article in Expert review of anticancer therapy, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

12 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Ultrathin Covalent Organic Framework Nanosheets/TiMolecules (Basel, Switzerland) · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Isolation and Profiling of MicroRNA-containing Exosomes from Human Bile.Journal of visualized experiments : JoVE · 2016
    Article
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Raymond S LanceDepartment of Microbiology and Molceular Biology, Leroy T Canoles Cancer Research Insitute and Urology Eastern Virginia Medical School, Norfolk, VA, USA. lancers@evms.edu
Richard R Drake
Dean A Troyer
Eastern Virginia Medical School · US

Funding

Proximal Prostate Fluids for Protein and miRNA BiomarkersR21CA137704 · NCI · EASTERN VIRGINIA MEDICAL SCHOOL · PI DRAKE, RICHARD R. · 2009 to 2010
$347k
NCI NIH HHS R21 CA 137704
6 · The paper itself

Abstract

Prostate cancer is the most prevalent cancer in men over the age of 50 years. Prostate-specific antigen is limited as both an early detection and prognostic biomarker. Prostasomes are unique microvesicles of endocytic origin with a unique lamellar membrane composed of cholesterol and phospholipids known to be capable of fusing with other cells and thus acting as messengers between cells. The evaluated article presents a new highly sensitive and specific protein-targeted assay based upon a proximity ligation assay (PLA) deemed capable of detecting prostasomes in the blood plasma of men with prostate cancer. The 4-PLA assay was used to detect circulating prostasomes in men with prostate cancer compared with age-matched controls. The median prostatsome levels in blood plasma were 2.5- to seven-fold higher compared with controls. The blood plasma prostasome levels correlated with Gleason 7 and higher disease versus Gleason 6 or lower and controls. This study describes for the first time a highly sensitive assay that depends upon simultaneous binding to as many as five different epitopes for detection and is thus a new and powerful tool for biomarker identification and validation.

Identifiers

PMID21929308
OpenAlexW2102387114

What OpenQuestion holds

Textmetadata
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.