MicroRNA‐200c overexpression in cancer‐associated fibroblasts decreases interleukin‐2 secretion
Bibliographic record
Abstract
Abstract miR‐200c‐3p is demonstrated to play the role of tumour suppressor in different tumours. However, the miR‐200c‐3p biological function in normal fibroblast (NF) and cancer‐associated fibroblast (CAF) remains unclear. This investigation aims to study the regulatory role of miR‐200c‐3p in the secretion of Interleukin‐2 (IL‐2) in CAF and NF. CAFs and NFs were isolated from tumour and normal tissue specimens respectively. Immunocytochemistry was used to confirm the presence of a fibroblast specific marker, alpha‐actin smooth muscle, in NFs and CAFs. NF and CAF were transfected with scramble and miR‐200c‐3p utilizing the lipofectamine 2000 reagent. The protein levels of IL‐2 were measured in CAFs, NFs, and transfected groups with miR‐200c‐3p and scrambled using an IL‐2 enzyme‐linked immunoassay kit. miR‐200c decreased secretion of IL‐2 in transfected CAF and NF compared to controls. Results elucidated that transfection of MiR‐200c‐3p can decrease the IL‐2 secretion and consequently reduce IL‐induced tumourigenic manner in the CAF.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".