siRNA-mediated downregulation of TC21 sensitizes esophageal cancer cells to cisplatin
Bibliographic record
Abstract
AIM:To determine the functional significance of TC21 in esophageal squamous cell carcinoma(ESCC).METHODS:TC21 siRNA transfection was carried out using Hyperfectamine to knock down TC21,and transcripts were analyzed by reverse transcription-polymerase chain reaction and protein by Western blotting.We demonstrated the effect of TC21 downregulation of cell signaling in esophageal cancer cells by assessing the phosphorylation status of its downstream targets,phosphoinositide 3-kinase(PI3K),phosphatase and tensin homolog(PTEN),protein kinase B(pAkt),nuclear factor-B(NF-B) and cyclinD1 using specific antibodies.Cell survival analysis after cisplatin treatment was carried out by cell viability assay and cell cycle analysis using flow cytometry.RESULTS:TC21 knockdown in human ESCC cell line TE13 cells,showed only a marginal increase(14.2%) in cell death compared with control cells.The expressions of the signaling proteins PI3K and pAkt,transcription factor NF-B,and cell cycle protein cyclin D1 were markedly decreased in response to TC21 downregulation,whereas the level of pPTEN,an antagonist of PI3K,was increased.In addition,we evaluated the potential of TC21 as a putative target for sensitizing ESCC cells to the chemotherapeutic agent cisplatin.Increased cell death(38.4%) was observed in cells treated with cisplatin after TC21 knockdown compared with cells which were treated with cisplatin alone(20% cell death).CONCLUSION:Results suggest that TC21 mediates its effects via the PI3K-Akt pathway,NF-B and cyclin D1,and enhances chemoresistance in esophageal cancer cells.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".