Evidence map›Paper›PMID 21792340›Full record

ArticleInternational journal of women's health2011

Usefulness of serum mass spectrometry to identify women diagnosed with higher grades of cervical intraepithelial neoplasia may differ by race.

Roland Matthews, Andres Azuero, Senait Asmellash, Earl Brewster, Edward E Partridge, Chandrika J Piyathilake

Abstract read
In one paragraph

Article in International journal of women's health, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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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

6 authors.

Roland MatthewsDepartment of Obstetrics and Gynecology, The Morehouse School of Medicine, Atlanta, Georgia, USA.
Andres Azuero
Senait Asmellash
Earl Brewster
Edward E Partridge
Chandrika J Piyathilake

Funding

TRAINING AND CAREER DEVELOPMENTU54CA118948 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Timiya S Nolan · 2005 to 2026
$26.6M
Research Training & Career Development ProgramU54CA118638 · NCI · MOREHOUSE SCHOOL OF MEDICINE · PI Brian M. Rivers · 2005 to 2026
$22.7M
Research Education CoreU54CA118623 · NCI · TUSKEGEE UNIVERSITY · PI STEPHEN O SODEKE · 2005 to 2026
$20.2M
INFRASTRUCTURE IIG12MD007585 · NIMHD · TUSKEGEE UNIVERSITY · PI YATES, CLAYTON · 2012 to 2016
$4.6M
NCI NIH HHS U54 CA118623NCI NIH HHS U54 CA118638NCI NIH HHS U54 CA118948NIMHD NIH HHS G12 MD007585
6 · The paper itself

Abstract

backgroundAn early detection of precursor lesions of cervical cancer will help to eliminate the worldwide burden of cervical cancer.

methodsThis exploratory study aimed to identify, by matrix-assisted laser desorption/ionization (MALDI) time-of-flight (TOF) mass spectrometry (MS), serum protein profiles that distinguish cervical intraepithelial neoplasia grades CIN 1 or lower (≤CIN 1) from CIN 2+ among 127 women infected with human papillomavirus (HPV) 16. Of these 127 women, 25 and 23 were diagnosed with CIN 2 or CIN 3, respectively (cases), and 79 were diagnosed with ≤CIN 1 (non-cases). Serum protein profiles were generated by MALDI-TOF-MS. A total of 95 m/z peaks were tested for association with case status by two racial groups, African American (AAs) and Caucasian American (CAs).

resultsOverall, 2 protein peaks identified by our study demonstrated higher specificity for identifying CIN 2+ than previously published studies. An increasing intensity of [m/z 4459] was associated with a higher risk of being a case, regardless of race with a specificity of 58% for CIN 2 and a specificity of 75% for CIN 3. An increasing intensity of [m/z 4154] was not only associated with a higher risk of being a case only among CAs, but also had an opposite effect among AAs.

conclusionIdentification of specific proteins associated with the peaks detected in serum and development of antibody-based tests such as ELISA should lead to the development of race-specific, non-invasive and cost effective screening tests with higher specificity for identifying HPV 16 associated CIN 2+.

Indexed as

cervical intraepithelial neoplasiaraceserum mass spectrometry

Identifiers

PMID21792340
PMCPMC3140814

What OpenQuestion holds

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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.