Inducible IκB Kinase/IκB Kinase ε Expression Is Induced by CK2 and Promotes Aberrant Nuclear Factor-κB Activation in Breast Cancer Cells
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Bibliographic record
Abstract
Aberrant activation of nuclear factor-kappaB (NF-kappaB) transcription factors has been implicated in the pathogenesis of breast cancer. We previously showed elevated activity of IkappaB kinase alpha (IKKalpha), IKKbeta, and protein kinase CK2 in primary human breast cancer specimens and cultured cells. A novel inducible IKK protein termed IKK-i/IKKepsilon has been characterized as a potential NF-kappaB activator. Here, we provide evidence that implicates IKK-i/IKKepsilon in the pathogenesis of breast cancer. We show IKK-i/IKKepsilon expression in primary human breast cancer specimens and carcinogen-induced mouse mammary tumors. Multiple breast cancer cell lines showed higher levels of IKK-i/IKKepsilon and kinase activity compared with untransformed MCF-10F breast epithelial cells. Interestingly, IKK-i/IKKepsilon expression correlated with CK2alpha expression in mammary glands and breast tumors derived from MMTV-CK2alpha transgenic mice. Ectopic CK2 expression in untransformed cells led to increased IKK-i/IKKepsilon mRNA and protein levels. Inhibition of CK2alpha via the pharmacologic inhibitor apigenin or upon transfection of a CK2 kinase-inactive subunit reduced IKK-i/IKKepsilon levels. Expression of a kinase-inactive IKK-i/IKKepsilon mutant in breast cancer cells reduced NF-kappaB activity as judged by transfection assays of reporters driven either by NF-kappaB elements or the promoters of two NF-kappaB target genes, cyclin D1 and relB. Importantly, the kinase-inactive IKK-i/IKKepsilon mutant reduced the endogenous levels of these genes as well as the ability of breast cancer cells to grow in soft agar or form invasive colonies in Matrigel. Thus, CK2 induces functional IKK-i/IKKepsilon, which is an important mediator of the activation of NF-kappaB that plays a critical role in the pathogenesis of breast cancer.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it