2015
DOI: 10.1016/j.canlet.2015.05.030
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Construction of multi-gene classifier for prediction of response to and prognosis after neoadjuvant chemotherapy for estrogen receptor positive breast cancers

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Cited by 11 publications
(13 citation statements)
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“…A complete absence of invasive tumor cells in the breast and lymph nodes was defined as pathological complete response (pCR), irrespective of the presence or absence of non-invasive breast cancer cells. ER, PR, and Ki67 levels in the tumor biopsy samples were immunohistochemically determined as previously described (10)(11)(12). The cut-off values were 10% for ER, 10% for PR and 20% for Ki67.…”
Section: Gc -----------------------------------------------------mentioning
confidence: 99%
“…A complete absence of invasive tumor cells in the breast and lymph nodes was defined as pathological complete response (pCR), irrespective of the presence or absence of non-invasive breast cancer cells. ER, PR, and Ki67 levels in the tumor biopsy samples were immunohistochemically determined as previously described (10)(11)(12). The cut-off values were 10% for ER, 10% for PR and 20% for Ki67.…”
Section: Gc -----------------------------------------------------mentioning
confidence: 99%
“…Multigene approaches perform single-gene prognosis and diagnosis methods [ 29 , 30 ]. The data obtained in our laboratory [ 31 – 33 ] and other groups [ 34 ] suggest that aberrations in the human chromosome 3 frequently accompany the formation of tumors of the epithelial origin.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore,weattemptedtodevelopanMGAthatcanclassify ER+/HER2− breast cancer patients treated with NAC into lowrisk and high-risk groups. 19 RNAs extracted from vacuum-assisted biopsy specimens obtained before NAC were subjected to the Affymetrix microarray assay, and the differentially expressed genes between poor responders (grade 1 by histological assessment) 20 and good responders (grades 2 and 3) were determined in the training set. Optimization of the MGA using these genes by the leave-one-out cross-validation method resulted in the con- High-CS; this was the case as well as in patients with residual cancerburden(RCBIIorRCBIII)inthevalidationcohort(Figure6).…”
Section: The 155g C For the Pred I C Ti On Of Recurren Ce Of Er+/hementioning
confidence: 99%