Literature DB >> 29193311

Proteomics analysis of human breast milk to assess breast cancer risk.

Roshanak Aslebagh1, Devika Channaveerappa1, Kathleen F Arcaro2, Costel C Darie1.   

Abstract

Detection of breast cancer (BC) in young women is challenging because mammography, the most common tool for detecting BC, is not effective on the dense breast tissue characteristic of young women. In addition to the limited means for detecting their BC, young women face a transient increased risk of pregnancy-associated BC. As a consequence, reproductively active women could benefit significantly from a tool that provides them with accurate risk assessment and early detection of BC. One potential method for detection of BC is biochemical monitoring of proteins and other molecules in bodily fluids such as serum, nipple aspirate, ductal lavage, tear, urine, saliva and breast milk. Of all these fluids, only breast milk provides access to a large volume of breast tissue, in the form of exfoliated epithelial cells, and to the local breast environment, in the form of molecules in the milk. Thus, analysis of breast milk is a non-invasive method with significant potential for assessing BC risk. Here we analyzed human breast milk by mass spectrometry (MS)-based proteomics to build a biomarker signature for early detection of BC. Ten milk samples from eight women provided five paired-groups (cancer versus control) for analysis of dysregulatedproteins: two within woman comparisons (milk from a diseased breast versus a healthy breast of the same woman) and three across women comparisons (milk from a woman with cancer versus a woman without cancer). Despite a wide range in the time between milk donation and cancer diagnosis (cancer diagnosis occurred from 1 month before to 24 months after milk donation), the levels of some proteins differed significantly between cancer and control in several of the five comparison groups. These pilot data are supportive of the idea that molecular analysis of breast milk will identify proteins informative for early detection and accurate assessment of BC risk, and warrant further research. Data are available via ProteomeXchange with identifier PXD007066.
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Biomarkers; Breast cancer; Breast milk; Mass spectrometry; Proteomics

Mesh:

Substances:

Year:  2018        PMID: 29193311     DOI: 10.1002/elps.201700123

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  8 in total

1.  Polymeric nanoassemblies for enrichment and detection of peptides and proteins in human breast milk.

Authors:  Bo Zhao; Jingjing Gao; Mahalia A C Serrano; Kathleen F Arcaro; S Thayumanavan; Richard W Vachet
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2.  Surfaces that Adhesively Discriminate Breast Epithelial Cell Lines and Lymphocytes in Buffer and Human Breast Milk.

Authors:  S Kalasin; E P Browne; K F Arcaro; M M Santore
Journal:  ACS Appl Mater Interfaces       Date:  2019-04-29       Impact factor: 9.229

Review 3.  Applications of Tandem Mass Spectrometry (MS/MS) in Protein Analysis for Biomedical Research.

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4.  Breast Cancer Interaction Network Concept from Mostly Related Components.

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Journal:  Galen Med J       Date:  2019-08-07

Review 5.  Combinatorial Power of cfDNA, CTCs and EVs in Oncology.

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Review 6.  Breast Cancer in Young Women: Status Quo and Advanced Disease Management by a Predictive, Preventive, and Personalized Approach.

Authors:  Erik Kudela; Marek Samec; Peter Kubatka; Marcela Nachajova; Zuzana Laucekova; Alena Liskova; Karol Dokus; Kamil Biringer; Denisa Simova; Eva Gabonova; Zuzana Dankova; Kristina Biskupska Bodova; Pavol Zubor; Daniela Trog
Journal:  Cancers (Basel)       Date:  2019-11-14       Impact factor: 6.639

Review 7.  A Critical Review of Bottom-Up Proteomics: The Good, the Bad, and the Future of this Field.

Authors:  Emmalyn J Dupree; Madhuri Jayathirtha; Hannah Yorkey; Marius Mihasan; Brindusa Alina Petre; Costel C Darie
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8.  Exploring Human Milk Dynamics: Interindividual Variation in Milk Proteome, Peptidome, and Metabolome.

Authors:  Pieter M Dekker; Sjef Boeren; Johannes B van Goudoever; Jacques J M Vervoort; Kasper A Hettinga
Journal:  J Proteome Res       Date:  2022-02-01       Impact factor: 4.466

  8 in total

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