Due to the
discovery of specific prognostic and predictive bio-markers that allow the
application of more individualized therapies to different molecular subgroups,
breast cancer treatment has experienced several changes over the past decades.
These subgroups demonstrate specific differences in clinical biological
behavior. In addition to the classic clinical prognostic factors of breast
cancer, established molecular bio-markers such as estrogen receptor and
progesterone receptor have played an important role in the selection of
endocrine therapy patients for many years.
More recently, the human epidermal
growth factor receptor 2 (HER2) has been validated as a predictor of the
response to HER2 targeting therapy as well as a prognostic factor. The shift to
earlier breast cancer diagnosis due to enhanced imaging methods and screening
programs highlights the need for new biomarker factors and combinations to
quantify patients ' residual risk and indicate the potential value of
additional treatment strategies. In addition to its moderate prognostic value,
the Ki67 proliferation marker has recently emerged as an important marker due
to several applications in neo adjuvant therapy.
Numerous
multigene signatures have been identified with the introduction of high-throughput
technologies aimed at outperforming traditional markers: current prospective
clinical trials are seeking evidence of their definitive role in breast cancer.
There are many more factors and approaches that may become relevant in the near
future, including the detection of single disseminating and circulating tumor
cells in the blood and bone marrow, as well as cell-free DNA and micro RNA
circulating.Careful randomized prospective testing and comparison with existing
established factors will be required to select those emerging markers that
offer significant cost - effective benefits and thus justify their routine use
for decision - making in breast cancer therapy.
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