MiR-145 Expression Accelerates Esophageal Adenocarcinoma Progression by Enhancing Cell Invasion and Anoikis Resistance
Bibliographic record
Abstract
BACKGROUND: Carcinoma of the esophagus has a high case fatality ratio and is now the 6th most common cause of cancer deaths in the world. We previously conducted a study to profile the expression of miRNAs in esophageal adenocarcinoma (EAC) pre and post induction therapy. Of the miRNAs differentially expressed post induction chemoradiation, miR-145, a known tumor suppressor miRNA, was upregulated 8-fold following induction therapy, however, its expression was associated with shorter disease-free survival. This unexpected result was explored in this current study. METHODS: In order to study the role of miR-145 in EAC, miRNA-145 was overexpressed in 3 EAC cell lines (OE33, FLO-1, SK-GT-4) and one ESCC cell line (KYSE-410). After validation of the expression of miR-145, hallmarks of cancer such as cell proliferation, resistance to chemotherapy drugs or anoikis, and cell invasion were analyzed. RESULTS: There were no differences in cell proliferation and 5 FU resistance between miR145 cell lines and the control cell lines. miR-145 expression also had no effect on cisplatin resistance in two of three cell lines (OE33 and FLO-1), but miR-145 appeared to protect SK-GT-4 cells against cisplatin treatment. However, there was a significant difference in cell invasion, cell adhesion and resistance to anoikis. All three EAC miR-145 cell lines invaded more than their respective controls. Similarly, OE33 and SK-GT-4 miR-145 cell lines were able to survive longer in a suspension state. DISCUSSION: While expression of miR-145 in ESCC stopped proliferation and invasion, expression of miR-145 in EAC cells enhanced invasion and anoikis resistance. Although more work is required to understand how miR-145 conveys these effects, expression of miR-145 appears to promote EAC progression by enhancing invasion and protection against anoikis, which could in turn facilitate distant metastasis.
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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 | 0.000 | 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 | 0.000 |
| 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".