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Exact(9)
Cancer classification was mainly based on microscopic morphology and immunohistochemistry. Molecular classification was recognized as an important tool in clinic.
Although this lack of agreement is trouble-some, it is perhaps not surprising as the initial molecular classification was based upon only 42 individuals with breast cancer [ 7].
The clinical utility of BluePrint molecular classification was demonstrated in a previously published retrospective analysis of four pooled neo-adjuvant studies.
The aim of this molecular classification was to identify tumor clusters defined by the smallest subset of exclusively deleted and amplified cytobands.
A similar prevalence pattern with a still significantly low incidence of luminal tumors (p = < 0.001 ) was obtained when molecular classification was attempted using other criteria previously described by several groups [ 17, 18, 20].
It should be noted that molecular classification was not taken into account for the QSOX1 mRNA analyses in the study by Pernodet and colleagues, as was done in the study by Katchman and colleagues [ 1].
Similar(51)
Breast cancer is a heterogeneous disease classified by variations in gene expression, and as such, concepts regarding treatment recommendations according to molecular classification are being explored.
Molecular classification is changing the design of clinical trials.
It is well established that medulloblastomas are heterogeneous tumors in which molecular classification is possible.
In addition, the independent prognostic value of the molecular classification is currently unknown.
If molecular classification is to replace the morphologic classification of tumors, several seemingly intractable problems must be solved.
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