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DOI: 10.1038/srep31804
¤ OpenAccess: Gold
This work has “Gold” OA status. This means it is published in an Open Access journal that is indexed by the DOAJ.

The relationship between nuclear factor (NF)-κB family gene expression and prognosis in triple-negative breast cancer (TNBC) patients receiving adjuvant doxorubicin treatment

Ji Yeon Kim,Hae Hyun Jung,Soomin Ahn,So Young Bae,Se Kyung Lee,Seok Won Kim,Jeong Eon Lee,Seok Jin Nam,Jin Seok Ahn,Young Hyuck Im,Yeon Hee Park

RELB
Doxorubicin
Triple-negative breast cancer
2016
Abstract We investigated gene expression profiles of the NF-κB pathway in patients with triple-negative breast cancer (TNBC) receiving adjuvant chemotherapy to determine the prognostic value of NF-κB pathway genes according to chemotherapeutic regimen. We used the nCounter expression assay to measure expression of 11 genes (NFKB1, NFKB2, RELA, RELB, REL, TP53, FOXC1, TBP, SP1, STAT3 and IRF1 genes) belonging to the NF-κB pathway using mRNA extracted from paraffin-embedded tumor tissues from 203 patients diagnosed with TNBC. Of the 203 patients, 116 were treated with a chemotherapeutic regimen containing doxorubicin. As revealed by the expression profiles of the 11 genes, increased expression of SP1 was associated with poor prognosis in TNBC patients treated with adjuvant doxorubicin chemotherapy (5-year distant recurrence-free survival [5Y DRFS], low vs. high expression [cut-off: median]: 92.3% vs. 71.6%, P = 0.001). In a multivariate Cox regression model, SP1 expression was a useful marker for predicting long-term prognosis in TNBC patients receiving doxorubicin treatment, and we thus suggest that SP1 expression could serve as a prognostic marker in these patients.
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    The relationship between nuclear factor (NF)-κB family gene expression and prognosis in triple-negative breast cancer (TNBC) patients receiving adjuvant doxorubicin treatment” is a paper by Ji Yeon Kim Hae Hyun Jung Soomin Ahn So Young Bae Se Kyung Lee Seok Won Kim Jeong Eon Lee Seok Jin Nam Jin Seok Ahn Young Hyuck Im Yeon Hee Park published in 2016. It has an Open Access status of “gold”. You can read and download a PDF Full Text of this paper here.