Evidence map›Paper›PMID 27652205›Full record

ArticleTranslational lung cancer research2016

S100B and S100B autoantibody as biomarkers for early detection of brain metastases in lung cancer.

Humberto Choi, Vikram Puvenna, Chanda Brennan, Shamseldeen Mahmoud, Xiao-Feng Wang, Michael Phillips, Damir Janigro, Peter Mazzone

Open access · hybridAbstract read
In one paragraph

Article in Translational lung cancer research, 2016. 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
1.4field-weighted citation impact, top 18% 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, 34 citations in OpenAlex.

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  19. Biomarkers in traumatic brain injury (TBI): a review.Neuropsychiatric disease and treatment · 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

8 authors at 4 institutions in 1 country.

Humberto ChoiRespiratory Institute, Cleveland Clinic, Cleveland, OH 44195, USA ;
Vikram PuvennaCerebrovascular Research, Biomedical Engineering and Molecular Medicine, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH 44195, USA ;
Chanda BrennanCerebrovascular Research, Biomedical Engineering and Molecular Medicine, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH 44195, USA ;
Shamseldeen MahmoudImaging Institute, Cleveland Clinic, Cleveland, OH 44195, USA.
Xiao-Feng WangQuantitative Health Sciences, Cleveland Clinic, Cleveland, OH 44195, USA.
Michael PhillipsImaging Institute, Cleveland Clinic, Cleveland, OH 44195, USA.
Damir JanigroCerebrovascular Research, Biomedical Engineering and Molecular Medicine, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH 44195, USA ;
Peter MazzoneRespiratory Institute, Cleveland Clinic, Cleveland, OH 44195, USA ;
Cleveland Clinic · USCase Western Reserve University · USCleveland Clinic Lerner College of Medicine · USImaging Center · US

Funding

Neurovascular Unit on a Chip: Chemical Communication, Drug and Toxin ResponsesUH2TR000491 · NCATS · VANDERBILT UNIVERSITY · PI JANIGRO, DAMIR, NISWENDER, KEVIN D · 2012 to 2013
$2.2M
Drug brain biotransformation in human refractory epilepsyR01NS078307 · NINDS · CLEVELAND CLINIC LERNER COM-CWRU · PI GHOSH, CHAITALI, MARCHI, NICOLA · 2012 to 2016
$1.7M
MECHANISMS OF MULTIDRUG RESISTANCER01NS043284 · NINDS · CLEVELAND CLINIC LERNER COL/MED-CWRU · PI JANIGRO, DAMIR · 2002 to 2005
$1.3M
Development of a BBB model to study transendothelial cell migrationR42MH093302 · NIMH · FLOCEL, INC. · PI JANIGRO, DAMIR · 2012 to 2013
$1.0M
Serum markers of football-related brain concussions: a pilot studyR21NS077236 · NINDS · CLEVELAND CLINIC LERNER COM-CWRU · PI JANIGRO, DAMIR · 2011 to 2012
$393k
Development of predictive in vitro model of drug absorption across the human BBBR21HD057256 · NICHD · CLEVELAND CLINIC LERNER COM-CWRU · PI JANIGRO, DAMIR · 2009 to 2010
$391k
Development of a BBB Model to Study Transendothelial Cell MigrationR41MH093302 · NIMH · FLOCEL, INC. · PI JANIGRO, DAMIR · 2010 to 2011
$158k
NCATS NIH HHS UH2 TR000491NICHD NIH HHS R21 HD057256NIMH NIH HHS R41 MH093302NIMH NIH HHS R42 MH093302NINDS NIH HHS R01 NS043284NINDS NIH HHS R01 NS078307NINDS NIH HHS R21 NS077236
6 · The paper itself

Abstract

backgroundS100B is an astrocytic protein that enters the blood stream when there is disruption of the blood-brain barrier (BBB). Over time, antibodies against S100B develop in the sera of patients who experience persistent or repeated BBB disruptions. We explored the use of serum S100B protein and S100B autoantibodies for the detection of brain metastasis in patients with lung cancer.

methodsOne hundred and twenty eight untreated patients with lung cancer who had brain imaging performed as part of their routine evaluation, participated. Serum S100B protein levels were measured by direct ELISA and S100B autoantibody levels by reverse ELISA. These levels in patients with brain metastases were compared alone and in combination to those without brain metastases.

resultsEighteen (14%) patients had brain metastasis at the time of lung cancer diagnosis. An S100B cutoff of 0.058 ng/mL had a sensitivity of 89% and specificity of 43% for brain metastasis. When an autoantibody threshold of <2.00 absorbance units was used in conjunction with S100B, the sensitivity remained at 89%, and the specificity increased to 58%. The overall accuracy was 51% with S100B alone, improving to 62.5% when combined with autoantibodies.

conclusionsSerum S100B and S100B autoantibody levels may help to identify which lung cancer patients have brain metastases.

Indexed as

Biomarkerbrain metastasislung cancerS100Bsmall vessel disease (SVD)

Identifiers

PMID27652205
PMCPMC5009084
OpenAlexW2516173159

What OpenQuestion holds

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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.