Evidence map›Paper›PMID 30019538›Full record

ArticleMolecular oncology2018

A fine-needle aspiration-based protein signature discriminates benign from malignant breast lesions.

Bo Franzén, Masood Kamali-Moghaddam, Andrey Alexeyenko, Thomas Hatschek, Susanne Becker, Lotta Wik, Jonas Kierkegaard, Annika Eriksson, Naveen R Muppani, Gert Auer and 2 more

Abstract read
In one paragraph

Article in Molecular oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. A Five-Plasma Protein-Based Algorithm for Predicting Incident CKD in Type 2 Diabetes.Journal of the American Society of Nephrology : JASN · 2026
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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

12 authors.

Bo FranzénDepartment of Oncology and Pathology, Cancer Center Karolinska, Karolinska Institutet and University Hospital, Stockholm, Sweden.
Masood Kamali-MoghaddamDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden.
Andrey AlexeyenkoDepartment of Microbiology, Tumor and Cell Biology (MTC), Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-8812-6481
Thomas HatschekDepartment of Oncology and Pathology, Cancer Center Karolinska, Karolinska Institutet and University Hospital, Stockholm, Sweden.
Susanne BeckerDepartment of Microbiology, Tumor and Cell Biology (MTC), Karolinska Institutet, Stockholm, Sweden.
Lotta WikDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden.
Jonas KierkegaardBröstCentrum City, Stockholm, Sweden.
Annika ErikssonKIGene, MMK, Neurogenetics Unit, CMM, Karolinska Institutet, Stockholm, Sweden.
Naveen R MuppaniDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden.
Gert AuerDepartment of Oncology and Pathology, Cancer Center Karolinska, Karolinska Institutet and University Hospital, Stockholm, Sweden.
Ulf LandegrenDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Sweden.
Rolf LewensohnDepartment of Oncology and Pathology, Cancer Center Karolinska, Karolinska Institutet and University Hospital, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are increasing demands for informative cancer biomarkers, accessible via minimally invasive procedures, both for initial diagnostics and to follow-up personalized cancer therapy. Fine-needle aspiration (FNA) biopsy provides ready access to relevant tissues; however, the minute sample amounts require sensitive multiplex molecular analysis to achieve clinical utility. We have applied proximity extension assays (PEA) and NanoString (NS) technology for analyses of proteins and of RNA, respectively, in FNA samples. Using samples from patients with breast cancer (BC, n = 25) or benign lesions (n = 33), we demonstrate that these FNA-based molecular analyses (a) can offer high sensitivity and reproducibility, (b) may provide correct diagnosis in shorter time and at a lower cost than current practice, (c) correlate with results from routine analysis (i.e., benchmarking against immunohistochemistry tests for ER, PR, HER2, and Ki67), and (d) may also help identify new markers related to immunotherapy. A specific 11-protein signature, including FGF binding protein 1, decorin, and furin, distinguished all cancer patient samples from all benign lesions in our main cohort and in smaller replication cohort. Due to the minimally traumatic sampling and rich molecular information, this combined proteomics and transcriptomic methodology is promising for diagnostics and evaluation of treatment efficacy in BC.

Indexed as

AdultAftercareAgedAged, 80 and overAnalysis of VarianceBiomarkers, TumorBiopsy, Fine-NeedleBreastBreast NeoplasmsCarrier ProteinsChemokine CXCL9Cohort StudiesDecorinEarly DiagnosisErb-b2 Receptor Tyrosine KinasesFemaleBiomarkers, TumorCarrier ProteinsChemokine CXCL9CXCL9 protein, humanDCN protein, humanDecorinERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesFGFBP1 protein, humanFurinFURIN protein, humanGPNMB protein, humanHeme Oxygenase-1HMOX1 protein, humanIntercellular Signaling Peptides and ProteinsMembrane GlycoproteinsNeoplasm Proteinsbreast cancer diagnosisfine-needle aspirationprotein biomarkerproximity extension assay

Identifiers

PMID30019538
PMCPMC6120227

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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.