Table 1.
Classifier | Variables |
---|---|
Presentation |
|
Imaging | Mass shape, margin, depth, and site, breast composition, calcification, axillary findings, laterality |
Pathological | |
Morphological classification (mainly diagnostic and prognostic) | |
Tumour differentiation | |
Tumour type: | Several tumour types (currently at least 18 tumour types) are described and some types include multiple variants 20 based on the combination of cytological, architecture features, and secretory activity and stromal features |
Tumour grade | Three grades 19 based on the degree of differentiation and similarity to TDLUs |
Disease extent | |
Tumour stage | Invasive tumour size, infiltration of other tissues, lymph node status, and assessment of lesions at distant sites |
Other factors | |
Lymphovascular invasion (present or absent), presence and extent of the in situ lesions (DCIS), stromal features such as TILs, Paget's disease, focality, bilaterality, and excision status | |
Molecular classification (mainly predictive but can provide diagnostic and prognostic value) | |
Single gene classifier |
Oestrogen receptor and HER2 are the most important classifiers to guide treatment decision with the addition of PDL1 Other markers include progesterone receptor (PR), KI67 as prognostic markers Familial predisposition genes such as BRCA1, BRCA2, and PALB2. |
Multiple gene classifier | Multigene prognostic signatures are composed of multiple genes assessed together to assess risk in certain BC groups mainly the luminal class. |
Global gene expression and genomic classification |
|
Therapy classification |
|