Evidence map›Paper›PMID 26022333›Full record

ArticleDiagnostic pathology2015

Assessment of a panel of tumor markers for the differential diagnosis of benign and malignant effusions by well-based reverse phase protein array.

Till Braunschweig, Joon-Yong Chung, Chel Hun Choi, Hanbyoul Cho, Qing-Rong Chen, Ran Xie, Candice Perry, Javed Khan, Stephen M Hewitt

Open access · goldAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Diagnostic pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. The Use of Quantitative Digital Pathology to Measure Proteoglycan and Glycosaminoglycan Expression and Accumulation in Healthy and Diseased Tissues.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2021
    Review
  5. Article
  6. 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

9 authors at 3 institutions in 3 countries.

Till BraunschweigLaboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA. till.braunschweig@web.de.
Joon-Yong ChungLaboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA. chungjo@mail.nih.gov.
Chel Hun ChoiLaboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA. chelhun.choi@nih.gov.
Hanbyoul ChoLaboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA. hanbyoul@yuhs.ac.
Qing-Rong ChenOncogenomics Section, Pediatric Oncology Branch, National Cancer Insititute, National Institutes of Health, Bethesda, MD, 20892, USA. chenqi@mail.nih.gov.
Ran XieLaboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA. xie_ran@yahoo.com.
Candice PerryLaboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA. perrycd@mail.nih.gov.
Javed KhanOncogenomics Section, Pediatric Oncology Branch, National Cancer Insititute, National Institutes of Health, Bethesda, MD, 20892, USA. khanjav@mail.nih.gov.
Stephen M HewittLaboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA. genejock@helix.nih.gov.
National Institutes of Health · USNational Cancer Institute · USSungkyunkwan University · KR

Funding

Experimental Pathology Laboratory (EPL)ZICBC011638 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HEWITT, STEPHEN · 2015 to 2025
$16.6M
Intramural NIH HHS
6 · The paper itself

Abstract

backgroundThe differential diagnosis of benign and malignant effusion is often hampered by low cell content or insufficiently preserved tumor cells. In this study, we evaluated the combined diagnostic value of six tumor markers measured by well-based reverse-phase protein array (RPPA) for diagnosis of malignant effusion.

methodsA total of 114 patients (46 with malignant effusions, 32 with probable malignant effusions, and 36 with benign effusions) were enrolled. Expressional levels of MUC1, EMA, Pan-CK, HSP90, TGF-β and CA125 were determined by well-based RPPA.

resultsMedian relative expression of MUC1, Pan-CK and EMA were significantly higher in malignant effusion than those in probable malignant or benign (p < 0.001, p = 0.003, p < 0.001, respectively), whereas the level of TGF-β in malignant effusions were significantly lower than that in the other groups (p = 0.005). For predicting malignancy, EMA presented the best areas under the curve of 0.728 followed by MUC1 of 0.701. The sensitivity of 52.0% for MUC1 and 48.0% for EMA were not better than cytology. However, sensitivity, negative predictive value, and accuracy of the tumor marker panel were better than cytology by 14.7%, 7.5%, and 6.1%, respectively.

conclusionsTumor marker panel measured by well-based RPPA showed values in the differential diagnosis between benign and malignant effusions. Further large scale studies need to be performed to evaluate the utility of this panel of markers. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1433424467160224.

Indexed as

Protein Array AnalysisArea Under CurveBiomarkers, TumorCluster AnalysisDiagnosis, DifferentialFemaleHumansMalePleural EffusionPleural Effusion, MalignantPredictive Value of TestsROC CurveBiomarkers, Tumor

Identifiers

PMID26022333
PMCPMC4447024
OpenAlexW2158252956

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.