Establishment of a chemoresistant laryngeal cancer cell model to study chemoresistance and chemosensitization responses via transcriptomic analysis and a tumor‐on‐a‐chip platform
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
Tumor resistance to chemotherapy is a common cause of cancer recurrence in patients with head and neck squamous cell carcinoma. The goal of this study is to establish and characterize a chemoresistant laryngeal cancer cell model and test its potential utility for chemosensitizing therapy. At the genotypic level, RNA sequencing confirmed that the cells acquired putative resistance with upregulated docetaxel-resistant (DR) genes (e.g., TUBB3, CYP24A1) and signaling pathways (e.g., PI3K/mTOR, autophagy). For phenotypic analysis, DR cells were co-cultured with laryngeal fibroblasts in a 2-channel microfluidic chip that mimics a hypoxic tumor core in vivo. A drug sensitivity test with a chemosensitizer, metformin (MTF), was performed on the laryngeal tumor-on-a-chip. Compared to non-treated controls, MTF-primed cancer cells exhibit higher sensitivity to docetaxel (DTX), that is, cell death. Collectively, this resistance-acquired cell model displayed presumed genotypic and phenotypic profiles of chemoresistance providing a viable option for testing new therapeutic strategies for restoring tumor sensitivity to DTX.
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 | 0.000 | 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 it