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


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
19 05 2022
Historique:
received: 03 09 2021
accepted: 06 05 2022
entrez: 19 5 2022
pubmed: 20 5 2022
medline: 24 5 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35589867
doi: 10.1038/s41598-022-12457-1
pii: 10.1038/s41598-022-12457-1
pmc: PMC9120463
doi:

Substances chimiques

Adaptor Proteins, Signal Transducing 0
Biomarkers, Tumor 0
Cell-Free Nucleic Acids 0
MSI2 protein, human 0
RNA-Binding Proteins 0
TBC1D10B protein, human 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

8458

Informations de copyright

© 2022. The Author(s).

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Auteurs

Mouadh Barbirou (M)

Department 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.
Medical School of Tunis, University of Tunis El Manar, Tunis, Tunisia. barbiroum@health.missouri.edu.

Amanda A Miller (AA)

Department of Health Management and Informatics, Center for Biomedical Informatics, School of Medicine, University of Missouri, 1 Hospital Drive, MA213, Columbia, MO, 65212, USA.

Erik Gafni (E)

Ravel Biotechnology Inc, San Francisco, CA, USA.

Amel Mezlini (A)

Medical Oncology Division, Salah Azeiz Oncology Institute, University of Tunis El Manar, Tunis, Tunisia.

Asma Zidi (A)

Medical Oncology Division, Salah Azeiz Oncology Institute, University of Tunis El Manar, Tunis, Tunisia.

Nathan Boley (N)

Ravel Biotechnology Inc, San Francisco, CA, USA.

Peter J Tonellato (PJ)

Department of Health Management and Informatics, Center for Biomedical Informatics, School of Medicine, University of Missouri, 1 Hospital Drive, MA213, Columbia, MO, 65212, USA.

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