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Omics · study · 2026

Performance of a Logistic Regression Model Using Paired miRNAs to Stratify Abnormal Mammograms for Benign Breast Lesions

Listed in NCBI GEO

We have generated EarlyGuard™, a novel logistic regression model using five paired miRNAs, to stratify subjects with abnormal mammograms who are proven benign, i.e., neither a breast cancer nor a pre-cancerous diagnosis, on a subsequent diagnostic biopsy at NPV of 96.9%.

Description

The classifier could be used as a “rule-out” test in the management of subjects with suspicious breast imaging findings who undergo subsequent biopsy of the breast and would have a diagnosis of neither breast cancer nor a pre-cancerous condition (e.g., ductal carcinoma in situ (DCIS)).

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Stated by source
Homo sapiens · Non-coding RNA profiling by array
From keywords
Life Sciences
Inferred from text
Cancer 75% · Imaging 75%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE25566015 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[disease].local:disease:cancerenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:non-coding-rna-profiling-by-arraysource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:imagingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title