Evidence map›Paper›PMID 36412635›Full record

ArticleProteomes2022

Mass Spectrometry-Based Proteomics of Human Milk to Identify Differentially Expressed Proteins in Women with Breast Cancer versus Controls.

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

Open access · goldAbstract read
In one paragraph

Article in Proteomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Omics-Based Investigations of Breast Cancer.Molecules (Basel, Switzerland) · 2023
    Review
  5. Review
  6. Article
  7. 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

7 authors at 2 institutions in 1 country.

Roshanak AslebaghBiochemistry and Proteomics Laboratories, Department of Chemistry & Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA.
Danielle WhithamBiochemistry and Proteomics Laboratories, Department of Chemistry & Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA.
Devika ChannaveerappaBiochemistry and Proteomics Laboratories, Department of Chemistry & Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA.
Panashe MutsengiBiochemistry and Proteomics Laboratories, Department of Chemistry & Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA.
Brian T PentecostDepartment of Veterinary & Animal Sciences, University of Massachusetts, Amherst, MA 01003-9298, USA.
Kathleen F ArcaroDepartment of Veterinary & Animal Sciences, University of Massachusetts, Amherst, MA 01003-9298, USA.
Costel C DarieBiochemistry and Proteomics Laboratories, Department of Chemistry & Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, 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

It is thought that accurate risk assessment and early diagnosis of breast cancer (BC) can help reduce cancer-related mortality. Proteomics analysis of breast milk may provide biomarkers of risk and occult disease. Our group works on the analysis of human milk samples from women with BC and controls to investigate alterations in protein patterns of milk that could be related to BC. In the current study, we used mass spectrometry (MS)-based proteomics analysis of 12 milk samples from donors with BC and matched controls. Specifically, we used one-dimensional (1D)-polyacrylamide gel electrophoresis (PAGE) coupled with nanoliquid chromatography tandem MS (nanoLC-MS/MS), followed by bioinformatics analysis. We confirmed the dysregulation of several proteins identified previously in a different set of milk samples. We also identified additional dysregulations in milk proteins shown to play a role in cancer development, such as Lactadherin isoform A, O-linked N-acetylglucosamine (GlcNAc) transferase, galactosyltransferase, recoverin, perilipin-3 isoform 1, histone-lysine methyltransferase, or clathrin heavy chain. Our results expand our current understanding of using milk as a biological fluid for identification of BC-related dysregulated proteins. Overall, our results also indicate that milk has the potential to be used for BC biomarker discovery, early detection and risk assessment in young, reproductively active women.

Indexed as

biomarkersbreast cancermass spectrometrymilkprotein dysregulationproteomics

Identifiers

PMID36412635
PMCPMC9680319
OpenAlexW4307939210

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.