Evidence map›Paper›PMID 36835577›Full record

ArticleInternational journal of molecular sciences2023

Potential Early Markers for Breast Cancer: A Proteomic Approach Comparing Saliva and Serum Samples in a Pilot Study.

Indu Sinha, Rachel L Fogle, Gizem Gulfidan, Anne E Stanley, Vonn Walter, Christopher S Hollenbeak, Kazim Y Arga, Raghu Sinha

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Omics-Based Investigations of Breast Cancer.Molecules (Basel, Switzerland) · 2023
    Review
  13. Salivary proteomic profile of young healthy subjects.Frontiers in molecular biosciences · 2023
    Article
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

8 authors.

Indu SinhaDepartment of Biochemistry and Molecular Biology, Penn State University College of Medicine, Hershey, PA 17033, USA.
Rachel L FogleEnvironmental Science and Sustainability Program, Harrisburg University of Science and Technology, Harrisburg, PA 17101, USA.ORCID 0000-0002-0891-1218
Gizem GulfidanDepartment of Bioengineering, Marmara University, Istanbul 34854, Turkey.ORCID 0000-0003-4150-0012
Anne E StanleyMass Spectrometry Core, Penn State University College of Medicine, Hershey, PA 17033, USA.
Vonn WalterDepartment of Public Health Sciences, Penn State University College of Medicine, Hershey, PA 17033, USA.ORCID 0000-0001-6114-6714
Christopher S HollenbeakDepartment of Health Policy and Administration, The Pennsylvania State University, University Park, State College, PA 16801, USA.ORCID 0000-0002-3362-814X
Kazim Y ArgaDepartment of Bioengineering, Marmara University, Istanbul 34854, Turkey.ORCID 0000-0002-6036-1348
Raghu SinhaDepartment of Biochemistry and Molecular Biology, Penn State University College of Medicine, Hershey, PA 17033, USA.ORCID 0000-0001-9083-8533

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
NCATS NIH HHS UL1 TR002014
6 · The paper itself

Abstract

Breast cancer is the second leading cause of death for women in the United States, and early detection could offer patients the opportunity to receive early intervention. The current methods of diagnosis rely on mammograms and have relatively high rates of false positivity, causing anxiety in patients. We sought to identify protein markers in saliva and serum for early detection of breast cancer. A rigorous analysis was performed for individual saliva and serum samples from women without breast disease, and women diagnosed with benign or malignant breast disease, using isobaric tags for relative and absolute quantitation (iTRAQ) technique, and employing a random effects model. A total of 591 and 371 proteins were identified in saliva and serum samples from the same individuals, respectively. The differentially expressed proteins were mainly involved in exocytosis, secretion, immune response, neutrophil-mediated immunity and cytokine-mediated signaling pathway. Using a network biology approach, significantly expressed proteins in both biological fluids were evaluated for protein-protein interaction networks and further analyzed for these being potential biomarkers in breast cancer diagnosis and prognosis. Our systems approach illustrates a feasible platform for investigating the responsive proteomic profile in benign and malignant breast disease using saliva and serum from the same women.

Indexed as

Breast NeoplasmsSalivaBiomarkersFemaleHumansPilot ProjectsProteomicsBiomarkersbenignbreast cancerdiagnosticmalignantpotential biomarkersprognosticprotein–protein interaction networkproteomicssalivaserum

Identifiers

PMID36835577
PMCPMC9966955

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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.