Evidence map›Paper›PMID 26693201›Full record

ArticleDisease markers2015

Anti-MUC1 Antibody in Nipple Aspirate Fluids Correlates with Tumor Aggressiveness in Breast Cancer: A Feasibility Study.

Ebru Menekse, John McKolanis, Olivera J Finn, Priscilla F McAuliffe, Ronald Johnson, Atilla Soran

Abstract read
In one paragraph

Article in Disease markers, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Proteomics and its applications in breast cancer.American journal of cancer research · 2021
    Review
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

6 authors.

Ebru MenekseDivision of Surgical Oncology, Department of Surgery, University of Pittsburgh School of Medicine, Magee-Womens Hospital of UPMC, Pittsburgh, PA 15213, USA.
John McKolanisDepartment of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
Olivera J FinnDepartment of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
Priscilla F McAuliffeDivision of Surgical Oncology, Department of Surgery, University of Pittsburgh School of Medicine, Magee-Womens Hospital of UPMC, Pittsburgh, PA 15213, USA.
Ronald JohnsonDivision of Surgical Oncology, Department of Surgery, University of Pittsburgh School of Medicine, Magee-Womens Hospital of UPMC, Pittsburgh, PA 15213, USA.
Atilla SoranDivision of Surgical Oncology, Department of Surgery, University of Pittsburgh School of Medicine, Magee-Womens Hospital of UPMC, Pittsburgh, PA 15213, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibodies against MUC1 are found in circulation of breast cancer (BC) patients. We hypothesized that anti-MUC1 antibodies might be present in even a higher concentration in nipple aspirate fluid (NAF) and could be used to predict aggressiveness of BC. Serum and NAF samples were collected from high risk lesions, BC, and healthy contralateral breasts. ELISA was used to measure the amount of IgG, IgM, and IgA against a tumor-specific MUC1 peptide derived from the extracellular tandem repeat domain of MUC1. Tumor characteristics were recorded prospectively; 120 NAF samples were obtained from a total of 77 women in the study. There was no significant difference of anti-MUC1 antibody levels compared to BC with other lesions. Anti-MUC1 IgG level in NAF was higher in triple negative tumors (P = 0.02); serum anti-MUC1 IgG levels were significantly higher in patients with ER (-) tumor and recurrent disease (P = 0.01); NAF anti-MUC1 IgA levels were significantly higher in patients with LVI and Her2-neu (+) tumors (P < 0.05). These results show that NAF could be a reliable biomarker to predict tumor aggressiveness in BC. A larger study will be needed to confirm these data and to investigate the potential of anti-MUC1 antibodies in NAF and serum to predict disease outcome.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsFeasibility StudiesFemaleHumansImmunoglobulinsMiddle AgedMucin-1Nipple Aspirate FluidBiomarkers, TumorImmunoglobulinsMUC1 protein, humanMucin-1

Identifiers

PMID26693201
PMCPMC4676998

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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.