Evidence map›Paper›PMID 42907637›Full record

ReviewAdvances in experimental medicine and biology2026

Mass Spectrometry-Based Proteomics Analysis of Breast Milk for Breast Cancer Biomarker Discovery: An Update.

Aneeta Arshad, Roshanak Aslebagh, Brindusa Alina Petre, Batuhan Uzunoglu, Rylie Flack, Kathleen F Arcaro, Costel C Darie

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Aneeta Arshad *Biochemistry and Proteomics Laboratories, Department of Chemistry and Biochemistry, Clarkson University, Potsdam, NY, 13699-5810, USA.
Roshanak Aslebagh *Biochemistry and Proteomics Laboratories, Department of Chemistry and Biochemistry, Clarkson University, Potsdam, NY, 13699-5810, USA.
Brindusa Alina Petre *Biochemistry and Proteomics Laboratories, Department of Chemistry and Biochemistry, Clarkson University, Potsdam, NY, 13699-5810, USA.
Batuhan UzunogluDepartment of Electrical and Computer Engineering, Clarkson University, Potsdam, NY, 13699, USA.
Rylie FlackBiochemistry and Proteomics Laboratories, Department of Chemistry and Biochemistry, Clarkson University, Potsdam, NY, 13699-5810, USA.
Kathleen F ArcaroDepartment of Veterinary and Animal Sciences, University of Massachusetts, 240 Thatcher Road, LSL 1 Room N529, Amherst, MA, 01003-9298, USA.
Costel C DarieBiochemistry and Proteomics Laboratories, Department of Chemistry and Biochemistry, Clarkson University, Potsdam, NY, 13699-5810, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Innovations in approaches for early detection and individual risk assessment of different cancers, including breast cancer (BC), are needed to reduce cancer morbidity and associated mortality. The assessment of potential cancer biomarkers in accessible bodily fluids provides a novel approach to identify the risk and/or onset of cancer. Biomarkers are biomolecules, such as proteins, that are indicative of an abnormality or a disease. Human milk is a vastly underutilized biospecimen that offers the opportunity to investigate potential protein BC-biomarkers in young, reproductively active women. As a first step, we have examined the entire protein pattern in human milk samples from breastfeeding mothers with cancer, who were diagnosed either before or after milk donation, and from women without cancer, using a variety of biochemical fractionation (1D-PAGE and 2D-PAGE) and mass spectrometry (MS)-based proteomics (nanoliquid chromatography tandem MS or nanoLC-MS/MS and matrix-assisted laser desorption ionization MS or MALDI-MS) for biomarker discovery as applied to BC using breast milk samples.

Indexed as

Biomarkers, TumorBreast NeoplasmsMass SpectrometryMilk, HumanProteomicsFemaleHumansSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomarkers, Tumor

Identifiers

PMID42907637

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.