Evidence map›Paper›PMID 24494029›Full record

ArticleJournal of Cancer2014

An ultra-sensitive immunoassay for quantifying biomarkers in breast tumor tissue.

Carol B Fowler, Yan-Gao Man, Jeffrey T Mason

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. 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

3 authors at 1 institution in 1 country.

Carol B Fowler1. Laboratory of Proteomics and Protein Science, Baltimore Veterans Affairs Medical Center, Baltimore, MD, USA;
Yan-Gao Man2. Bon Secours Cancer Institute, Bon Secours Health System, Richmond, VA, USA.
Jeffrey T Mason1. Laboratory of Proteomics and Protein Science, Baltimore Veterans Affairs Medical Center, Baltimore, MD, USA;
Veterans Health Administration · US

Funding

Technology to improve the assessment of tissue-associated protein biomarkersI01BX001092 · VA · BALTIMORE VA MEDICAL CENTER · PI MASON, JEFFREY THOMAS · 2013 to 2017
–
BLRD VA I01 BX001092
6 · The paper itself

Abstract

Urokinase-type plasminogen activator (uPA) and plasminogen activator inhibitor type-1 (PAI-1) have been validated at the highest level of evidence as clinical biomarkers of prognosis in breast cancer. The American Society of Clinical Oncology recommends using uPA and PAI-1 levels in breast tumors for deciding whether patients with newly diagnosed node-negative breast cancer can forgo adjuvant chemotherapy. The sole validated method for quantifying uPA and PAI-1 levels in breast tumor tissue is a colorimetric ELISA assay that takes 3 days to complete and requires 100-300 mg of fresh or frozen tissue. In this study we describe a new assay method for quantifying PAI-1 levels in human breast tumor tissue. This assay combines pressure-cycling technology to extract PAI-1 from breast tumor tissue with a highly sensitive liposome polymerase chain reaction immunoassay for quantification of PAI-1 in the tissue extract. The new PAI-1 assay method reduced the total assay time to one day and improved assay sensitivity and dynamic range by >100, compared to ELISA.

Indexed as

breast cancerhigh-pressure tissue extractionimmunoassayimmunoliposome-PCRplasminogen activator inhibitor type-1tissue biomarkers

Identifiers

PMID24494029
PMCPMC3909766
OpenAlexW2102042472

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.