Evidence map›Paper›PMID 29672570›Full record

ArticlePloS one2018

Detection of glypican-1 (GPC-1) expression in urine cell sediments in prostate cancer.

Douglas H Campbell, Maria E Lund, Aline L Nocon, Paul J Cozzi, Mark Frydenberg, Paul De Souza, Belinda Schiller, Jennifer L Beebe-Dimmer, Julie J Ruterbusch, Bradley J Walsh

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Prostate cancer detection: a systematic review of urinary biosensors.Prostate cancer and prostatic diseases · 2022
    Pooled it
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  9. GPC1 Is Associated with Poor Prognosis and Treg Infiltration in Colon Adenocarcinoma.Computational and mathematical methods in medicine · 2022
    Article
  10. Role of glypican-1 in regulating multiple cellular signaling pathways.American journal of physiology. Cell physiology · 2021
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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

10 authors at 4 institutions in 2 countries.

Douglas H CampbellMinomic International Ltd, Sydney, New South Wales, Australia.
Maria E LundMinomic International Ltd, Sydney, New South Wales, Australia.
Aline L NoconMinomic International Ltd, Sydney, New South Wales, Australia.
Paul J CozziSt George and Sutherland Clinical School, the University of New South Wales, Sydney, New South Wales, Australia.
Mark FrydenbergEpworth Healthcare, Melbourne, Victoria, Australia.
Paul De SouzaDepartment of Medical Oncology, Liverpool Hospital, Sydney, New South Wales, Australia.
Belinda SchillerMinomic International Ltd, Sydney, New South Wales, Australia.
Jennifer L Beebe-DimmerKarmanos Cancer Institute, Detroit, Michigan, United States of America.
Julie J RuterbuschKarmanos Cancer Institute, Detroit, Michigan, United States of America.
Bradley J WalshMinomic International Ltd, Sydney, New South Wales, Australia.ORCID 0000-0003-3571-4399
Wayne State University · USEpworth Hospital · AULiverpool Hospital · AUSutherland Hospital · AU

Funding

Tumor Biology and Microenvironment (Program 1)P30CA022453 · NCI · WAYNE STATE UNIVERSITY · PI Julie Lynn Boerner · 1985 to 2026
$68.4M
NCI NIH HHS P30 CA022453
6 · The paper itself

Abstract

While measurement of serum prostate specific antigen (PSA) is an important screening tool for prostate cancer, new biomarkers are necessary for better discrimination between presence and absence of disease. The MIL-38 monoclonal antibody is specific for the membrane glycoprotein glypican 1 (GPC-1) and binds to prostate cancer tissue. Urine is known to be a source of cellular material. Thus, we hypothesized that detection of GPC-1 in urine cellular material may identify individuals with prostate cancer. Urine samples from patients with prostate cancer, benign prostatic hyperplasia (BPH), or normal controls were collected and cell sediments prepared. GPC-1-positive cells were detected using a MIL-38 immunofluorescence assay (IFA) and samples were classed positive or negative for GPC-1 expressing cells. Assay sensitivity and specificity, stratified by PSA, was reported. A total of 125 patient samples were analyzed (N = 41 prostate cancer; N = 37 BPH; N = 47 normal controls). The use of MIL-38 to detect GPC-1 by IFA discriminated between prostate cancer and BPH urine specimens with a sensitivity and specificity of 71% and 76%, respectively. Assay specificity increased with increasing PSA, with the highest specificity (89%) for patients with PSA ≥4 ng/ml. At lower PSA (<2 ng/ml) specificity decreased, as evidenced by a greater number of false positives in this concentration range. The odds ratio (OR) and 95% confidence intervals (CIs) for GPC-1-positive cells in patients with prostate cancer, adjusted for PSA, was greatest at the lowest serum PSA (<2 ng/ml; OR = 13.4; 95% CI: 4.0-44.7) compared with no adjustment for PSA (OR = 6.4; 95% CI: 2.8-14.9). The use of MIL-38 for detection of GPC-1 may be a useful tool for detection of prostate cancer.

Indexed as

AgedBiomarkers, TumorCase-Control StudiesGlypicansHumansMaleMiddle AgedNeoplasm GradingOdds RatioProstatic NeoplasmsSensitivity and SpecificityUrinalysisBiomarkers, TumorGlypicans

Identifiers

PMID29672570
PMCPMC5908171
OpenAlexW2801806320

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.