Evidence map›Paper›PMID 29109092›Full record

ReviewCancer genomics & proteomics

Screening for Multiple Autoantibodies in Plasma of Patients with Breast Cancer.

Lauren Bassaro, Stephen J Russell, Elzbieta Pastwa, Stella A Somiari, Richard I Somiari

Open access · diamondAbstract readReview
In one paragraph

Review in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 25% 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, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  4. Annals of surgical treatment and research · 2024
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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

5 authors at 2 institutions in 1 country.

Lauren BassaroFunctional Genomics & Proteomics Unit, ITSI-Biosciences, Johnstown, PA, U.S.A.
Stephen J RussellFunctional Genomics & Proteomics Unit, ITSI-Biosciences, Johnstown, PA, U.S.A.
Elzbieta PastwaFunctional Genomics & Proteomics Unit, ITSI-Biosciences, Johnstown, PA, U.S.A.
Stella A SomiariBiobanking & Biospecimen Science Research Unit, Windber Research Institute, Windber, PA, U.S.A.
Richard I SomiariFunctional Genomics & Proteomics Unit, ITSI-Biosciences, Johnstown, PA, U.S.A. Richard@itsi.us.
Abterra Biosciences (United States) · USWindber Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimAutoantibodies have potential as circulating biomarkers for early cancer detection. This study aimed to screen for known autoantibodies in human plasma using an Autoantibody Profiling System (APS) and quantify the levels in plasma of donors with/without breast cancer. MATERIALS AND

methodsPlasma from nine female donors diagnosed with breast cancer (test group) and nine matched donors with no personal history of cancer (reference group) were screened with an APS containing probes for 30 autoantibodies. Autoantibody levels ≥1.5 times the mean concentration of the group were considered elevated, and test/reference ratios ≥1.3 were considered higher in the test group compared to the reference group.

resultsTwenty percent of the probes detected elevated levels of autoantibodies against proteins involved in different cancer mechanisms. Amongst these, the levels of autoantibodies against interleukin 29 (IL29), osteoprotegerin (OPG), survivin (SUR), growth hormone (GRH) and resistin (RES) were significantly higher in the cancer group compared to the reference group (p<0.05), whereas the level of autoantibody against cytotoxic T-lymphocyte associated antigen-4 (CTLA4) was not significantly different between the two groups (p=0.38).

conclusionDisease-relevant autoantibodies were detected in the plasma of patients with breast cancer and donors without breast cancer. This means that identifying the type and level of autoantibodies in samples will be important in determining their significance in the disease process. A microtiter plate-based array system could be a fast and inexpensive screening method for identifying and quantifying autoantibodies in human plasma.

Indexed as

AdultAutoantibodiesBreast NeoplasmsFemaleHumansMass ScreeningYoung AdultAutoantibodiesAntigen arrayautoantibody detectionbreast cancerplasma screening

Identifiers

PMID29109092
PMCPMC6070323
OpenAlexW2767761426

What OpenQuestion holds

Textmetadata
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.