A strategy for distinguishing optimal cancer subtypes.
A strategy for distinguishing optimal cancer subtypes.
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DOI:
10.1002/ijc.25714
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发表时间:
2011-08-15
影响因子:
6.4
通讯作者:
Begg, Colin B.
中科院分区:
文献类型:
--
作者:
Begg, Colin B.
Much attention is directed currently to identifying sub-types of cancers that are genetically and clinically distinct. The expectation is that sub-typing on the basis of somatic genomic characteristics will supplant traditional pathological sub-types with respect to relevance for targeted therapies and clinical course. Less attention has been paid to the goal of validating sub-types on the basis of the distinctiveness of their etiologies. In this article it is shown that studies of individuals with double primary malignancies provide uniquely valuable information for establishing the etiologic distinctiveness of candidate tumor sub-types. Studies of double primaries have the potential to definitively rank candidate taxonomic systems with respect to their etiological relevance by determining which sub-types are most highly correlated in the double primaries. The concept is illustrated with data from studies of the concordance of estrogen and progestin status in bilateral breast cancers, where it is shown that double primaries are much more likely to be concordant with respect to ER status than for PR status. The high concordance of ER status is consistent with a growing literature demonstrating the etiologic distinctiveness of ER+ and ER- tumors.
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影响因子:
30.8
作者:
Peto, J;Mack, TM
通讯作者:
Mack, TM
影响因子:
168.9
作者:
Michiels, S;Koscielny, S;Hill, C
通讯作者:
Hill, C
影响因子:
3.8
作者:
HAHNEL, R;TWADDLE, E
通讯作者:
TWADDLE, E
DOI:
10.1186/bcr1512
发表时间:
2006
期刊:
Breast cancer research : BCR
影响因子:
--
作者:
Alexe G;Alexe S;Axelrod DE;Bonates TO;Lozina II;Reiss M;Hammer PL
通讯作者:
Hammer PL
影响因子:
3.8
作者:
Kollias, J;Pinder, SE;Blamey, RW
通讯作者:
Blamey, RW