Foxp3+IL-17+ T cells promote development of cancer-initiating cells in colorectal cancer
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The pathogenesis of CRC remains to be further understood. This study was designed to elucidate the role of Foxp3+IL-17+ T cells in the pathogenesis of CRC. Surgically removed CRC tissue was collected from 12 patients with CRC. The frequency and cytokine profile of Foxp3+IL-17+ T cells in CRC were examined by flow cytometry. Chemokine CXCL11 was examined in CRC tissue by Western blotting. Treg chemotaxis was examined in a transwell system. The effect of Foxp3+IL-17+ T cells on induction of cancer-initiating cells was examined; the latter's Akt and MAPK activities and colony formation were examined afterward. Abundant Foxp3+IL-17+ T cells were detected in CRC tissue that expresses high levels of TGF-β, CXCR3, CCR6, and RORγt. High levels of CXCL11 were detected in CRC tissue-derived CD68+ cells, which had a strong chemotactic effect on Foxp3+ Tregs. Hypoxia induced the expression of IL-17 in Foxp3+ Tregs; Foxp3+IL-17+ T cells were capable of inducing CRC-associated cell markers in BMMo and drove the cells to be cancer-initiating cells. High levels of phosphorylated Akt and MAPK were detected in the induced cancer-initiation cells; the latter has the capability to form a colony. CRC tissue-derived Foxp3+IL-17+ cells have the capacity to induce cancer-initiating cells.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it