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Invasive breast carcinoma - IARC

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detected at a late stage as small<br />

tumours are not felt in the pregnant<br />

or lactating <strong>breast</strong> {91,311,1079}. Pre g-<br />

nancy in women who have been tre a t e d<br />

for <strong>breast</strong> cancer does not appear to<br />

a ffect prognosis {119}.<br />

Morphological factors<br />

The traditional pathological factors of<br />

lymph node status, tumour size, histological<br />

type, and histological grade are<br />

the most useful prognostic factors in<br />

b reast cancer patients {886,1763},<br />

although this is now challenged by gene<br />

e x p ression pro f i l i n g .<br />

Fig. 1.71 Lymphatic vessel invasion. Several tumour cell nests are present in endothelial lined spaces.<br />

of <strong>breast</strong> cancer cases and that, as is<br />

likely, these genes act in an additive<br />

manner with the other loci involved in<br />

familial aggregation, then we are left with<br />

a residual familial risk of 1.8 to be<br />

explained by other genes and/or correlated<br />

family environment. There could be<br />

several genes similar in action to BRCA1<br />

and BRCA2, with lower <strong>breast</strong> cancer<br />

risks, or a set of more common polymorphisms<br />

in biologically relevant genes,<br />

each associated with only a small<br />

increased risk, or something in-between.<br />

Genes are not the only factor which<br />

could cause the observed familial<br />

c o r relation. Shared lifestyle or enviro n-<br />

mental risk factors would also cause<br />

some degree of familial clustering,<br />

however it can be demonstrated that<br />

the known environmental risk factors<br />

for <strong>breast</strong> cancer are unlkely to contribute<br />

significantly to the overall familial<br />

risk {1238}.<br />

Based on a model of the contribution of<br />

genetic variation to the overall familial<br />

risk, it can be estimated that variation in<br />

as few as 70 of the 30,000 genes in the<br />

human genome may contribute to<br />

b reast cancer susceptibility. Of course,<br />

this model is based on a number of<br />

unverifiable assumptions and does not<br />

include potential gene-gene and genee<br />

n v i ronment interactions, so should be<br />

i n t e r p reted cautiously. However, it<br />

seems clear that there are not going to<br />

be hundreds of loci involved (or if there<br />

a re, they will be impossible to find given<br />

the weakness of the effects). Only until<br />

m o re of these loci are identified, and<br />

their interaction with known epidemiological<br />

risk factors assessed, will we be<br />

able to untangle the underlying causes<br />

of the observed familial risk.<br />

Prognosis and predictive factors<br />

Clinical features<br />

A g e<br />

The prognostic significance of age and<br />

menopausal status in patients with bre a s t<br />

c a rcinoma is controversial. Yo u n g e r<br />

patients have been found to have a poor<br />

p rognosis {59,2029}, a favourable outcome<br />

{2500} or no corre l a t i o n has been<br />

found with age at all {1207}. These disc<br />

repancies may be due to diff e rences in<br />

patient selection, age grouping, and<br />

other factors, including high grade, vascular<br />

invasion, extensive in situ component,<br />

steroid receptor negativity, high<br />

p roliferation, T P 5 3 a b n o rmalities. An<br />

increased incidence of node positivity<br />

was found in two large studies of patients<br />

under 35 years.<br />

P r e g n a n c y<br />

B reast cancer developing during pre g-<br />

nancy is generally considered to have<br />

an unfavourable prognosis. There is,<br />

h o w e v e r, conflicting data as to whether<br />

this is an independent factor. It may be<br />

p a rt l y, or entire l y, due to the poor pro g-<br />

nosis associated with young age and<br />

also the fact that the cancer is often<br />

Lymph node status<br />

The status of the axillary lymph nodes is<br />

the most important single pro g n o s t i c<br />

factor for patients with <strong>breast</strong> cancer.<br />

N u m e rous studies have shown that dise<br />

a s e - f ree and overall survival rates<br />

d e c rease as the number of positive<br />

nodes increases {886}. The clinical significance<br />

of micrometastases and isolated<br />

tumour cells in the nodes, part i c u-<br />

larly those identified exclusively by<br />

i m m u n o h i s t o c h e m i s t ry, remains a matter<br />

of debate {71,1655} although virt u a l-<br />

ly all studies with more than 100<br />

patients have shown that micro m e t a s-<br />

tases are associated with a small but<br />

significant decrease in disease-fre e<br />

and/or overall survival {1655}.<br />

A p p roximately 10-20% of patients cons<br />

i d e red to be node-negative by ro u t i n e<br />

pathological examination have identifiable<br />

tumour cells as determined by serial<br />

sectioning, immunohistochemical<br />

staining for epithelial markers, or both.<br />

H o w e v e r, at present, it appears pre m a-<br />

t u re to recommend the routine use of<br />

step sections and/or immunohistochem<br />

i s t ry to evaluate sentinel or non-sentinel<br />

lymph nodes {71}.<br />

Tumour size<br />

Tumour size is an important pro g n o s t i c<br />

f a c t o r. Even among patients with bre a s t<br />

cancers 1 cm and smaller (T1a and<br />

T1b), size is an important pro g n o s t i c<br />

factor for axillary lymph node involvement<br />

and outcome {461}. However, the<br />

manner in which the pathological<br />

tumour size is re p o rted varies. Some<br />

pathologists re p o rt the macro s c o p i c<br />

size, some a microscopic size that<br />

includes both the invasive and in situ<br />

components, and others re p o rt the<br />

m i c roscopic size of the invasive compo-<br />

56 Tumours of the <strong>breast</strong>

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