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Excel · study · 2026

Consensus molecular classification of triple-negative breast cancers

Listed in NCBI GEO

The goal of this project was to establish a consensus molecular classification of triple-negative breast cancers (TNBC), ie. to identify TNBC robust subtypes.

Description

In order to optimize this process, we retrieved as much transcriptomic data as possible, measured by Affymetrix® microarrays (n = 886) and RNAseq (n = 699). In this last group, we included 48 new TNBC patients followed in our Cancer Centre.

To our knowledge, this study is the largest one which aims at subtyping TNBC; it exploits a total of 1585 samples. Pooled data were standardized across different public datasets for both gene expression profiling technologies. Subsequently, clustering analysis revealed four robust subtypes.

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From keywords
Life Sciences
Inferred from text
Cancer 75% · RNA sequencing 65%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE22500215 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:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (65%)
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