Evidence map›Paper›PMID 35589867›Full record

ArticleScientific reports2022

Evaluation of cfDNA as an early detection assay for dense tissue breast cancer.

Mouadh Barbirou, Amanda A Miller, Erik Gafni, Amel Mezlini, Asma Zidi, Nathan Boley, Peter J Tonellato

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 34% of its field
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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Cell-Free DNA-Based Theranostics for Inflammatory Disorders.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Article
  4. Article
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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

7 authors at 3 institutions in 2 countries.

Mouadh BarbirouDepartment of Health Management and Informatics, Center for Biomedical Informatics, School of Medicine, University of Missouri, 1 Hospital Drive, MA213, Columbia, MO, 65212, USA. barbiroum@health.missouri.edu.
Amanda A MillerDepartment of Health Management and Informatics, Center for Biomedical Informatics, School of Medicine, University of Missouri, 1 Hospital Drive, MA213, Columbia, MO, 65212, USA.
Erik GafniRavel Biotechnology Inc, San Francisco, CA, USA.
Amel MezliniMedical Oncology Division, Salah Azeiz Oncology Institute, University of Tunis El Manar, Tunis, Tunisia.
Asma ZidiMedical Oncology Division, Salah Azeiz Oncology Institute, University of Tunis El Manar, Tunis, Tunisia.
Nathan BoleyRavel Biotechnology Inc, San Francisco, CA, USA.
Peter J TonellatoDepartment of Health Management and Informatics, Center for Biomedical Informatics, School of Medicine, University of Missouri, 1 Hospital Drive, MA213, Columbia, MO, 65212, USA.
University of Missouri Health System · USTunis El Manar University · TNVIR Biotechnology (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A cell-free DNA (cfDNA) assay would be a promising approach to early cancer diagnosis, especially for patients with dense tissues. Consistent cfDNA signatures have been observed for many carcinogens. Recently, investigations of cfDNA as a reliable early detection bioassay have presented a powerful opportunity for detecting dense tissue screening complications early. We performed a prospective study to evaluate the potential of characterizing cfDNA as a central element in the early detection of dense tissue breast cancer (BC). Plasma samples were collected from 32 consenting subjects with dense tissue and positive mammograms, 20 with positive biopsies and 12 with negative biopsies. After screening and before biopsy, cfDNA was extracted, and whole-genome next-generation sequencing (NGS) was performed on all samples. Copy number alteration (CNA) and single nucleotide polymorphism (SNP)/insertion/deletion (Indel) analyses were performed to characterize cfDNA. In the positive-positive subjects (cases), a total of 5 CNAs overlapped with 5 previously reported BC-related oncogenes (KSR2, MAP2K4, MSI2, CANT1 and MSI2). In addition, 1 SNP was detected in KMT2C, a BC oncogene, and 9 others were detected in or near 10 genes (SERAC1, DAGLB, MACF1, NVL, FBXW4, FANK1, KCTD4, CAVIN1; ATP6V0A1 and ZBTB20-AS1) previously associated with non-BC cancers. For the positive-negative subjects (screening), 3 CNAs were detected in BC genes (ACVR2A, CUL3 and PIK3R1), and 5 SNPs were identified in 6 non-BC cancer genes (SNIP1, TBC1D10B, PANK1, PRKCA and RUNX2; SUPT3H). This study presents evidence of the potential of using cfDNA somatic variants as dense tissue BC biomarkers from a noninvasive liquid bioassay for early cancer detection.

Indexed as

Breast NeoplasmsCell-Free Nucleic AcidsAdaptor Proteins, Signal TransducingBiological AssayBiomarkers, TumorEarly Detection of CancerFemaleHumansMutationProspective StudiesRNA-Binding ProteinsAdaptor Proteins, Signal TransducingBiomarkers, TumorCell-Free Nucleic AcidsMSI2 protein, humanRNA-Binding ProteinsTBC1D10B protein, human

Identifiers

PMID35589867
PMCPMC9120463
OpenAlexW4280652916

What OpenQuestion holds

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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.