Evidence map›Paper›PMID 20977275›Full record

ArticleJournal of proteome research2011

Protein microarray signature of autoantibody biomarkers for the early detection of breast cancer.

Karen S Anderson, Sahar Sibani, Garrick Wallstrom, Ji Qiu, Eliseo A Mendoza, Jacob Raphael, Eugenie Hainsworth, Wagner R Montor, Jessica Wong, Jin G Park and 7 more

Abstract read
In one paragraph

Article in Journal of proteome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed, 1 pooled it
8.5field-weighted citation impact, top 2% 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

109 citing papers in PubMed, 1 synthesis or guideline pooled it, 219 citations in OpenAlex.

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49 more citing papers are in PubMed but not listed here.

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

17 authors at 5 institutions in 1 country.

Karen S AndersonCancer Vaccine Center, Dana-Farber Cancer Institute, Boston, Massachusetts, USA. kanderson@partners.org
Sahar Sibani
Garrick Wallstrom
Ji Qiu
Eliseo A Mendoza
Jacob Raphael
Eugenie Hainsworth
Wagner R Montor
Jessica Wong
Jin G Park
Naa Lokko
Tanya Logvinenko
Niroshan Ramachandran
Andrew K Godwin
Jeffrey Marks
Paul Engstrom
Joshua Labaer
Harvard University Press · USArizona State University · USDana-Farber Cancer Institute · USFox Chase Cancer Center · USDuke University · US

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Margaret von Mehren · 1985 to 2026
$138.8M
Biomarker Detection Using NAPPA Tumor Antigen ArraysU01CA117374 · NCI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ANDERSON, KAREN SUE, LABAER, JOSHUA · 2005 to 2015
$6.2M
NCI NIH HHS 5U01CA117374NCI NIH HHS P30 CA006927NCI NIH HHS U01 CA117374
6 · The paper itself

Abstract

Cancer patients spontaneously generate autoantibodies (AAb) to tumor-derived proteins. To detect AAb, we have probed novel high-density custom protein microarrays (NAPPA) expressing 4988 candidate tumor antigens with sera from patients with early stage breast cancer (IBC), and bound IgG was measured. We used a three-phase serial screening approach. First, a prescreen was performed to eliminate uninformative antigens. Sera from stage I-III IBC (n = 53) and healthy women (n = 53) were screened for AAb to all 4988 protein antigens. Antigens were selected if the 95th percentile of signal of cases and controls were significantly different (p < 0.05) and if the number of cases with signals above the 95th percentile of controls was significant (p < 0.05). These 761 antigens were screened using an independent set of IBC sera (n = 51) and sera from women with benign breast disease (BBD) (n = 39). From these, 119 antigens had a partial area under the ROC curve (p < 0.05), with sensitivities ranging from 9-40% at >91% specificity. Twenty-eight of these antigens were confirmed using an independent serum cohort (n = 51 cases/38 controls, p < 0.05). Using all 28 AAb, a classifier was identified with a sensitivity of 80.8% and a specificity of 61.6% (AUC = 0.756). These are potential biomarkers for the early detection of breast cancer.

Indexed as

Antigens, NeoplasmAutoantibodiesBiomarkersBreast NeoplasmsCase-Control StudiesFemaleGene Expression ProfilingHumansOligonucleotide Array Sequence AnalysisProtein Array AnalysisProteomicsRegression AnalysisReproducibility of ResultsROC CurveSensitivity and SpecificityVacuolar Proton-Translocating ATPasesAntigens, NeoplasmATP6AP1 protein, humanAutoantibodiesBiomarkersVacuolar Proton-Translocating ATPases

Identifiers

PMID20977275
PMCPMC3158028
OpenAlexW2084154134

What OpenQuestion holds

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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.