Invasive breast carcinoma - IARC
Invasive breast carcinoma - IARC
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>