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. 2016 Jun 23;7(10):1281–1294. doi: 10.7150/jca.13141

Table 2.

Summary of the breast tumor molecular subtypes.

Subtype Alias Biomarker status Grade Outcome Additional features PrevalenceΔ
Luminal Luminal A* [ER+|PR+]HER2-KI67- 1|2 Good Luminal cytokeratin+, FOXA1+, ADH1B high; cell-cell adhesion genes high 23.7%[9]
Luminal B* [ER+|PR+]HER2-KI67+ 2|3 Intermediate Luminal cytokeratin+; TP53-; FGFR1 and ZIC3 amp; ADH1B low; cell-cell adhesion genes high 38.8%[9]
[ER+|PR+]HER2+KI67+ |Poor 14%[9]
HER2 positive HER2 over-expression* ER-PR-HER2+ 2|3 Poor TP53-; GRB7 high; cell-cell adhesion genes high 11.2%[9]
Triple negative Basal* ER-PR-HER2-, basal marker+ 3 Poor BRCA1-, TP53-; CDKN2A high; RB1 low; FGFR2 amp; cell-cell adhesion genes high 10-25%[128] 12.3%[9]
Claudin-low ER-PR-HER2-, EMT marker+, Stem-cell marker+, claudin- 3 Poor GATA3-regulated genes, cell-cell adhesion genes low; CDH1 low; Claudins low 7-14%[141]
Metaplastic breast cancer (MBC) ER-PR-HER2-, EMT marker+, Stem-cell marker+ 3 Poor GATA3-regulated genes, cell-cell adhesion genes low; PIK3CA-, AKT- or KRAS- 1%[143]
Interferon-rich ER-PR-HER2-, interferon regulated genes+ 3 Intermediate STAT1, SP110 high ~10%[93]
Molecular apocrine cancer (MAC) Molecular apocrine cancer (MAC) ER-PR-AR+ 2|3 Poor KI67+ 13.2%[98]

* Subtypes with detailed expression patterns and clinical implications discussed in the text, which take the majority of the breast tumor cases and are most commonly referred to.

Δ The percentages could not be added up, as triple negative tumor subtypes are not mutually exclusive and the percentages are taken from different publications.

Δ The prevalences shown here are for all breast tumor cases, which are taken from one particular publication (as indicated in the square brackets) and can vary by different studies.