Evidence map›Paper›PMID 25853582›Full record

ArticlePloS one2015

Macrophage inhibitory cytokine 1 biomarker serum immunoassay in combination with PSA is a more specific diagnostic tool for detection of prostate cancer.

Ji Li, Robert W Veltri, Zhen Yuan, Christhunesa S Christudass, Wlodek Mandecki

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 30 citations in OpenAlex.

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  17. GDF15 and Growth Control.Frontiers in physiology · 2018
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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

5 authors at 3 institutions in 1 country.

Ji LiPharmaSeq, Inc., Monmouth Junction, New Jersey, United States of America.
Robert W VeltriJohns Hopkins University School of Medicine (JHUSOM), Baltimore, Maryland, United States of America.
Zhen YuanPharmaSeq, Inc., Monmouth Junction, New Jersey, United States of America.
Christhunesa S ChristudassJohns Hopkins University School of Medicine (JHUSOM), Baltimore, Maryland, United States of America.
Wlodek MandeckiPharmaSeq, Inc., Monmouth Junction, New Jersey, United States of America.
PharmaSeq (United States) · USJohns Hopkins Medicine · USJohns Hopkins University · US

Funding

PHS HHS HSSN261201200069C
6 · The paper itself

Abstract

backgroundProstate cancer (PCa) is the most common malignancy among men in the United States. Though highly sensitive, the often-used prostate-specific antigen (PSA) test has low specificity which leads to overdiagnosis and overtreatment of PCa. This paper presents results of a retrospective study that indicates that testing for macrophage inhibitory cytokine 1 (MIC-1) concentration along with the PSA assay could provide much improved specificity to the assay.

methodsThe MIC-1 serum level was determined by a novel p-Chip-based immunoassay run on 70 retrospective samples. The assay was configured on p-Chips, small integrated circuits (IC) capable of storing in their electronic memories a serial number to identify the molecular probe immobilized on its surface. The distribution of MIC-1 and pre-determined PSA concentrations were displayed in a 2D plot and the predictive power of the dual MIC-1/PSA assay was analyzed.

resultsMIC-1 concentration in serum was elevated in PCa patients (1.44 ng/ml) compared to normal and biopsy-negative individuals (0.93 ng/ml and 0.88 ng/ml, respectively). In addition, the MIC-1 level was correlated with the progression of PCa. The area under the receiver operator curve (AUC-ROC) was 0.81 providing an assay sensitivity of 83.3% and specificity of 60.7% by using a cutoff of 0.494 for the logistic regression value of MIC-1 and PSA. Another approach, by defining high-frequency PCa zones in a two-dimensional plot, resulted in assay sensitivity of 78.6% and specificity of 89.3%.

conclusionsThe analysis based on correlation of MIC-1 and PSA concentrations in serum with the patient PCa status improved the specificity of PCa diagnosis without compromising the high sensitivity of the PSA test alone and has potential for PCa prognosis for patient therapy strategies.

Indexed as

AgedBiomarkers, TumorBiopsyDisease ProgressionGrowth Differentiation Factor 15HumansMaleMiddle AgedPrognosisProstate-Specific AntigenProstatic NeoplasmsRetrospective StudiesBiomarkers, TumorGDF15 protein, humanGrowth Differentiation Factor 15Prostate-Specific Antigen

Identifiers

PMID25853582
PMCPMC4390224
OpenAlexW1977546387

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.