Evidence map›Paper›PMID 31404106›Full record

Trial reportPloS one2019

Improved detection of prostate cancer using a magneto-nanosensor assay for serum circulating autoantibodies.

Lingyun Xu, Jung-Rok Lee, Shiying Hao, Xuefeng Bruce Ling, James D Brooks, Shan X Wang, Sanjiv Sam Gambhir

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Lingyun XuDepartment of Radiology, Molecular Imaging Program at Stanford, Bio-X Program, Stanford University School of Medicine, Stanford, California, United States of America.ORCID 0000-0001-5373-8541
Jung-Rok LeeDivision of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul, South Korea.
Shiying HaoClinical and Translational Research Program, Betty Irene Moore Children's Heart Center, Lucile Packard Children's Hospital, Palo Alto, California, United States of America.
Xuefeng Bruce LingClinical and Translational Research Program, Betty Irene Moore Children's Heart Center, Lucile Packard Children's Hospital, Palo Alto, California, United States of America.
James D BrooksDepartment of Urology, Stanford University School of Medicine, Stanford, California, United States of America.
Shan X WangDepartment of Materials Science & Engineering, Stanford University, Stanford, California, United States of America.
Sanjiv Sam GambhirDepartment of Radiology, Molecular Imaging Program at Stanford, Bio-X Program, Stanford University School of Medicine, Stanford, California, United States of America.ORCID 0000-0002-2711-7554

Funding

New Tools for Prostate Cancer Detection and PrognosticationU01CA152737 · NCI · STANFORD UNIVERSITY · PI BROOKS, JAMES D., GAMBHIR, SANJIV S · 2010 to 2015
$2.8M
NCI NIH HHS U01 CA152737
6 · The paper itself

Abstract

purposeTo develop a magneto-nanosensor (MNS) based multiplex assay to measure protein and autoantibody biomarkers from human serum for prostate cancer (CaP) diagnosis. MATERIALS AND

methodsA 4-panel MNS autoantibody assay and a MNS protein assay were developed and optimized in our labs. Using these assays, serum concentration of six biomarkers including prostate-specific antigen (PSA) protein, free/total PSA ratio, as well as four autoantibodies against Parkinson disease 7 (PARK7), TAR DNA-binding protein 43 (TARDBP), Talin 1 (TLN1), and Caldesmon 1 (CALD1) and were analyzed. Human serum samples from 99 patients (50 with non-cancer and 49 with clinically localized CaP) were evaluated.

resultsThe MNS assay showed excellent performance characteristics and no cross-reactivity. All autoantibody assays showed a statistically significant difference between CaP and non-cancer samples except for PARK7. The most significant difference was the combination of the four autoantibodies as a panel in addition to the free/total PSA ratio. This combination had the highest area under the curve (AUC)- 0.916 in ROC analysis.

conclusionsOur results suggest that this autoantibody panel along with PSA and free PSA have potential to segregate patients without cancer from those with prostate cancer with higher sensitivity and specificity than PSA alone.

Indexed as

Prostatic NeoplasmsAgedAntibodies, NeoplasmAutoantibodiesHumansImmunoassayKallikreinsMaleMiddle AgedProstate-Specific AntigenSensitivity and SpecificityAntibodies, NeoplasmAutoantibodiesKallikreinsKLK3 protein, humanProstate-Specific Antigen

Identifiers

PMID31404106
PMCPMC6690541

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.