Miro1 knockout inhibits mouse breast cancer tumorigenesis
Bibliographic record
Abstract
Abstract Miro1 is a mitochondrial outer membrane protein that regulates mitochondrial and peroxisome trafficking, endoplasmic reticulum (ER) association, and mitophagy. Prior studies suggest a role for Miro1 in cell migration and proliferation in both normal and tumor cells. High Miro1 expression is associated with poor overall survival in breast cancer patients. To investigate the role of Miro1 in breast cancer tumorigenesis and metastasis, we established stable Miro1 knockdown (KD) in MDA-MB-231 human triple-negative breast cancer cells using shRNA. Miro1 KD significantly impaired cell proliferation, migration, and invasion in vitro . When implanted into the mammary fat pad of SCID mice, MDA-MB-231 cells formed tumors, whereas Miro1 KD cells showed markedly reduced tumorigenesis. Additionally, we generated a novel transgenic mouse model with inducible, tissue-specific Miro1 deletion in mammary epithelial cells, alongside polyomavirus middle T-antigen (PyVMT) oncogene activation. In this model, wild-type (WT) mice formed tumors at all mammary gland sites, with frequent lung metastases. However, Miro1-deficient mice failed to develop tumors, while heterozygous mice exhibited reduced tumor growth and metastasis. Additionally, these findings identify Miro1 as a key regulator of breast cancer onset and metastatic potential, positioning it as a potential biomarker and therapeutic target.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".