Multiple roles of THY1 in gastric cancer based on data mining
Bibliographic record
Abstract
BACKGROUND: THY1 (CD90) is a heavily N-glycosylated, glycophosphatidylinositol (GPI) anchored cell surface protein, which has been implicated in several cancers. But, the specific mechanism and function of the THY1 gene remains unclear in gastric cancer (GC). METHODS: To investigate the function of THY1 in GC and illustrate the potential mechanism, TCGA and FIREBROWSE were used to detect the THY1expression. GEPIA2 and Kaplan-Meier Plotter showed significant correlation among THY1 mRNA level, TNM stage and survival probability of GC patients. RESULTS: THY1 was up-regulated apparently in GC in contrast to normal tissues and linked to TNM stage. GC patients with higher THY1 expression displayed lower overall survival (OS), first progression (FP) and post-progression survival (PPS). In vitro experiments showed that knockdown of THY1 suppressed proliferation, migration while increased autophagy level in GC cells. Immune factors may interact with THY1mRNA in GC and THY1 was found significantly linked with Tregs. CONCLUSIONS: Our findings indicate that higher THY1 level is link to poor prognosis of GC patients. THY1may as well be used as a marker molecule for evaluating the tumor microenvironment status of GC patients and a target for immunotherapy.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".