XB130 deficiency enhances carcinogen-induced skin tumorigenesis
Bibliographic record
Abstract
XB130 is an adaptor protein that functions as a mediator of multiple tyrosine kinases important for regulating cell proliferation, survival, migration and invasion. Formerly predicted as an oncogene, alterations of its expression are documented in various human cancers. However, the exact role of XB130 in tumorigenesis is unknown. To address its function in skin tumorigenesis, a two-stage dimethylbenzanthracene (DMBA)/12-O-tetradecanoylphorbol 13-acetate (TPA) study was performed on XB130 knockout (KO), heterozygous (HZ) and wild-type (WT) littermate mice. DMBA/TPA-treated XB130 KO and HZ males developed a significantly higher number of epidermal tumors that were notably larger in size than did WT mice. Interestingly, DMBA/TPA-treated female mice did not show any difference in tumor multiplicity regardless of the genotypes. The skin tumor lesions of XB130 KO males were more progressed with an increased frequency of keratoacanthoma. Deficiency of XB130 dramatically increased epidermal tumor cell proliferation. The responses to DMBA and TPA stimuli were also individually investigated to elucidate the mechanistic role of XB130 at different stages of tumorigenesis. DMBA-treated male XB130 KO mice showed compensatory p53-mediated stress response. TPA-treated XB130 KO males demonstrated more skin ulceration with more severe edema, enhanced cell proliferation, accumulation of infiltrating neutrophils and increased production of pro-inflammatory cytokine genes compared with WT mice. Enhanced activities of nuclear factor-kappa B pathway, increased protein expression of metalloproteinase-9 and ERK1/2 phosphorylation were found in these KO mice. These findings demonstrate that XB130 acts as a tumor suppressor in carcinogen-induced skin tumorigenesis that may be mediated through inhibiting inflammation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".