Evidence map›Paper›PMID 34064148›Full record

ArticleJournal of clinical medicine2021

High-Throughput Proteomic Profiling of Nipple Aspirate Fluid from Breast Cancer Patients Compared with Non-Cancer Controls: A Step Closer to Clinical Feasibility.

Amy L George, Sadr Ul Shaheed, Chris W Sutton

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Omics-Based Investigations of Breast Cancer.Molecules (Basel, Switzerland) · 2023
    Review
  4. Review
  5. Liquid Biopsy and Cancer: An Ongoing Story.Journal of clinical medicine · 2023
    Article
  6. Article
  7. The application of high-throughput proteomics in cytopathology.Journal of pathology and translational medicine · 2022
    Review
  8. Review
  9. 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

3 authors.

Amy L GeorgeInstitute of Cancer Therapeutics, University of Bradford, Tumbling Hill Street, Bradford BD7 1DB, UK.ORCID 0000-0002-6782-1626
Sadr Ul ShaheedInstitute of Cancer Therapeutics, University of Bradford, Tumbling Hill Street, Bradford BD7 1DB, UK.
Chris W SuttonInstitute of Cancer Therapeutics, University of Bradford, Tumbling Hill Street, Bradford BD7 1DB, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly detection of breast cancer (BC) is critical for increasing survival rates. However, current imaging approaches can provide ambiguous results, requiring invasive tissue biopsy for a definitive diagnosis. Multi-dimensional mass spectrometric analysis has highlighted the invaluable potential of nipple aspirate fluid (NAF) as a non-invasive source of early detection biomarkers, by identifying a multitude of proteins representative of the changing breast microenvironment. However, technical challenges with biomarker validation in large cohorts remain due to low sample throughput, impeding progress towards clinical utility. Rather, by employing a high-throughput method, that is more practicable for clinical utility, perturbations of the most abundant NAF proteins in BC patients compared with non-cancer (NC) controls could be monitored and validated in larger groups.

methodWe characterized matched NAF pairs from BC (

resultsOverall, 198 proteins were relatively quantified, of which 40 were significantly differentiated in BC samples, compared with NC (

conclusionsOur findings show 1D LC-MS/MS can quantify changes reflected in the NAF proteome associated with breast cancer development.

Indexed as

biomarkersbreast cancerliquid biopsynipple aspirate fluidnon-invasiveproteomics

Identifiers

PMID34064148
PMCPMC8196703

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Registered trials

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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.