Evidence map›Paper›PMID 36971330›Full record

ArticleElectrophoresis2023

Proteomics analysis of human breast milk by two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) coupled with mass spectrometry to assess breast cancer risk.

Roshanak Aslebagh, Danielle Whitham, Devika Channaveerappa, James Lowe, Brian T Pentecost, Kathleen F Arcaro, Costel C Darie

Open access · greenAbstract read
In one paragraph

Article in Electrophoresis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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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

7 authors at 2 institutions in 1 country.

Roshanak AslebaghBiochemistry and Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, New York, USA.
Danielle WhithamBiochemistry and Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, New York, USA.
Devika ChannaveerappaBiochemistry and Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, New York, USA.
James LoweBiochemistry and Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, New York, USA.
Brian T PentecostDepartment of Veterinary and Animal Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA.
Kathleen F ArcaroDepartment of Veterinary and Animal Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA.
Costel C DarieBiochemistry and Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, New York, USA.ORCID 0000-0001-6402-2311
Clarkson University · USUniversity of Massachusetts Amherst · US

Funding

PA-23-189 for Kaya Johnson to CA260126-01: Identifying a proteomic signature for breast cancer detection in breast milk and serumR15CA260126 · NCI · CLARKSON UNIVERSITY · PI DARIE, COSTEL C. · 2022 to 2024
$628k
NCI NIH HHS R15 CA260126
6 · The paper itself

Abstract

Breast cancer (BC) is one of the most common cancers and one of the most common causes for cancer-related mortality. Discovery of protein biomarkers associated with cancer is considered important for early diagnosis and prediction of the cancer risk. Protein biomarkers could be investigated by large-scale protein investigation or proteomics, using mass spectrometry (MS)-based techniques. Our group applies MS-based proteomics to study the protein pattern in human breast milk from women with BC and controls and investigates the alterations and dysregulations of breast milk proteins in comparison pairs of BC versus control. These dysregulated proteins might be considered potential future biomarkers of BC. Identification of potential biomarkers in breast milk may benefit young women without BC, but who could collect the milk for future assessment of BC risk. Previously we identified several dysregulated proteins in different sets of human breast milk samples from BC patients and controls using gel-based protein separation coupled with MS. Here, we performed 2D-PAGE coupled with nano-liquid chromatography-tandem MS (nanoLC-MS/MS) in a small-scale study on a set of six human breast milk pairs (three BC samples vs. three controls) and we identified several dysregulated proteins that have potential roles in cancer progression and might be considered potential BC biomarkers in the future.

Indexed as

Breast NeoplasmsBiomarkers, TumorElectrophoresis, Gel, Two-DimensionalElectrophoresis, Polyacrylamide GelFemaleHumansMilk, HumanProteomeProteomicsTandem Mass SpectrometryBiomarkers, TumorProteome2D-PAGEbiomarkersbreast cancerbreast milkmass spectrometryprotein dysregulationproteomics

Identifiers

PMID36971330
PMCPMC10522790
OpenAlexW4361005043

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.