Induction of alternative NF- <i>κ</i> B within TAg-induced basal mammary tumors in activation-resistant inhibitor of <i>κ</i> -B kinase (IKKα) mutant mice
Bibliographic record
Abstract
BACKGROUND: The alternative NF-κB pathway is activated by the NF-κB-inducing kinase (NIK) mediated phosphorylation of the inhibitor of κ-B kinase α (IKKα). IKKα then phosphorylates p100/NFKB2 to result in its processing to the active p52 subunit. Evidence suggests that basal breast cancers originate within a subpopulation of luminal progenitor cells which is expanded by signaling to IKKα. OBJECTIVE: To determine the role of IKKα in the development of basal tumors. METHODS: Kinase dead IkkαAA/AA mice were crossed with the C3(1)-TAg mouse model of basal mammary cancer. Tumor growth and tumor numbers in WT and IkkαAA/AA mice were assessed and immunopathology, p52 expression and stem/progenitor 3D colony forming assays were performed. Nik-/- mammary glands were isolated and mammary colonies were characterized. RESULTS: While tumor growth was slower than in WT mice, IkkαAA/AA tumor numbers and pathology were indistinguishable from WT tumors. Both WT and IkkαAA/AA tumors expressed p52 except those IkkαAA/AA tumors where NIK, IKKαAA/AA and ErbB2 were undetectable. Colonies formed by WT and IkkαAA/AA mammary cells were nearly all luminal/acinar however, colony numbers and sizes derived from IkkαAA/AA cells were reduced. In contrast to IkkαAA/AA mice, virgin Nik-/- mammary glands were poorly developed and colonies were primarily derived from undifferentiated bipotent progenitor cells. CONCLUSIONS: C3(1)-TAg induced mammary tumors express p100/p52 even without functional IKKα. Therefore the development of basal-like mammary cancer does not strictly rely on IKKα activation. Signal-induced stabilization of NIK may be sufficient to mediate processing of p100NFKB2 which can then support basal-like mammary tumor formation. Lastly, in contrast to the pregnancy specific role of IKKα in lobuloalveogenesis, NIK is obligatory for normal mammary gland development.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".