Evidence map›Paper›PMID 30709840›Full record

ArticleCancer prevention research (Philadelphia, Pa.)2019

Simultaneous Measurement of 92 Serum Protein Biomarkers for the Development of a Multiprotein Classifier for Ovarian Cancer Detection.

Amy P N Skubitz, Kristin L M Boylan, Kate Geschwind, Qing Cao, Timothy K Starr, Melissa A Geller, Joseph Celestino, Robert C Bast, Karen H Lu, Joseph S Koopmeiners

Open access · bronzeAbstract read
In one paragraph

Article in Cancer prevention research (Philadelphia, Pa.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-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

12 citing papers in PubMed, 24 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Amy P N SkubitzDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota. skubi002@umn.edu.
Kristin L M BoylanDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota.
Kate GeschwindDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota.
Qing CaoMasonic Cancer Center, University of Minnesota, Minneapolis, Minnesota.
Timothy K StarrDepartment of Obstetrics, Gynecology, and Women's Health, University of Minnesota, Minneapolis, Minnesota.
Melissa A GellerDepartment of Obstetrics, Gynecology, and Women's Health, University of Minnesota, Minneapolis, Minnesota.
Joseph CelestinoUniversity of Texas, MD Anderson Cancer Center, Houston, Texas.
Robert C BastUniversity of Texas, MD Anderson Cancer Center, Houston, Texas.
Karen H LuUniversity of Texas, MD Anderson Cancer Center, Houston, Texas.
Joseph S KoopmeinersMasonic Cancer Center, University of Minnesota, Minneapolis, Minnesota.
University of Minnesota · USThe University of Texas MD Anderson Cancer Center · US

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
UNIVERSITY OF TEXAS MD ANDERSON SPORE IN OVARIAN CANCERP50CA083639 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BAST, ROBERT C · 1999 to 2015
$33.0M
MD Anderson Cancer Center EDRN- CVC for Early Detection of Ovarian CancerU01CA200462 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ROBERT C BAST · 2016 to 2026
$9.3M
U.T. M. D. Anderson Cancer Center SPORE in Ovarian CancerP50CA217685 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BAST, ROBERT C, SOOD, ANIL K · 2017 to 2021
$7.9M
Development of Novel Ovarian Cancer Biomarkers for Early Detection AlgorithmsR01CA247220 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAST, ROBERT C, LOKSHIN, ANNA E. · 2020 to 2024
$3.9M
NCATS NIH HHS UL1 TR002494NCI NIH HHS P50 CA083639NCI NIH HHS P50 CA217685NCI NIH HHS R01 CA247220NCI NIH HHS U01 CA200462
6 · The paper itself

Abstract

The best known ovarian cancer biomarker, CA125, is neither adequately sensitive nor specific for screening the general population. By using a combination of proteins for screening, it may be possible to increase the sensitivity and specificity over CA125 alone. In this study, we used Proseek Multiplex Oncology II plates to simultaneously measure the expression of 92 cancer-related proteins in serum using proximity extension assays. This technology combines the sensitivity of the PCR with the specificity of antibody-based detection methods, allowing multiplex biomarker detection and high-throughput quantification. We analyzed 1 μL of sera from each of 61 women with ovarian cancer and compared the values obtained with those from 88 age-matched healthy women. Principle component analysis and unsupervised hierarchical clustering separated the ovarian cancer patients from the healthy, with minimal misclassification. Data from the Proseek plates for CA125 levels exhibited a strong correlation with clinical values for CA125. We identified 52 proteins that differed significantly (

Indexed as

Biomarkers, TumorBlood ProteinsCase-Control StudiesCystadenocarcinoma, SerousEnzyme-Linked Immunosorbent AssayFemaleHumansOvarian NeoplasmsProtein Array AnalysisROC CurveBiomarkers, TumorBlood Proteins

Identifiers

PMID30709840
PMCPMC6410372
OpenAlexW2912562816

What OpenQuestion holds

Textmetadata
LicenceTDM
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.