Evidence map›Paper›PMID 38376826›Full record

ReviewExpert review of proteomics

Deciphering a proteomic signature for the early detection of breast cancer from breast milk: the role of quantitative proteomics.

Danielle Whitham, Pathea Bruno, Norman Haaker, Kathleen F Arcaro, Brian T Pentecost, Costel C Darie

Open access · greenAbstract readReview
In one paragraph

Review in Expert review of proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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 at 2 institutions in 1 country.

Danielle WhithamDepartment of Chemistry and Biochemistry, Clarkson University, Potsdam, NY, USA.
Pathea BrunoDepartment of Chemistry and Biochemistry, Clarkson University, Potsdam, NY, USA.
Norman HaakerDepartment of Chemistry and Biochemistry, Clarkson University, Potsdam, NY, USA.
Kathleen F ArcaroDepartment of Veterinary & Animal Sciences, University of Massachusetts, Amherst, MA, USA.
Brian T PentecostDepartment of Chemistry and Biochemistry, Clarkson University, Potsdam, NY, USA.
Costel C DarieDepartment of Chemistry and Biochemistry, Clarkson University, Potsdam, NY, 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

introductionBreast cancer is one of the most prevalent cancers among women in the United States. Current research regarding breast milk has been focused on the composition and its role in infant growth and development. There is little information about the proteins, immune cells, and epithelial cells present in breast milk which can be indicative of the emergence of BC cells and tumors. AREAS COVERED: We summarize all breast milk studies previously done in our group using proteomics. These studies include 1D-PAGE and 2D-PAGE analysis of breast milk samples, which include within woman and across woman comparisons to identify dysregulated proteins in breast milk and the roles of these proteins in both the development of BC and its diagnosis. Our projected outlook for the use of milk for cancer detection is also discussed. EXPERT OPINION: Analyzing the samples by multiple methods allows one to interrogate a set of samples with various biochemical methods that complement each other, thus providing a more comprehensive proteome. Complementing methods like 1D-PAGE, 2D-PAGE, in-solution digestion and proteomics analysis with PTM-omics, peptidomics, degradomics, or interactomics will provide a better understanding of the dysregulated proteins, but also the modifications or interactions between these proteins.

Indexed as

Breast NeoplasmsMilk, HumanEarly Detection of CancerElectrophoresis, Gel, Two-DimensionalFemaleHumansProteomeProteomicsProteomebiomarker discoveryBreast cancermass spectrometryprotein quantitationproteomics

Identifiers

PMID38376826
PMCPMC11694492
OpenAlexW4391985193

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.