TRIM31: A Protein With an Oncogenic Role in Esophageal Adenocarcinoma
Bibliographic record
Abstract
Background: Esophageal adenocarcinoma (EAC) is a major cancer in the United States with increasing incidence. It is an aggressive cancer involving columnar-type cells different from the normal esophageal (NE) squamous cells. This metaplasia often involves an intermediary morphology called Barrett’s esophagus (BE), which occurs from repeated acid exposure of the esophagus from gastroesophageal reflux disease (GERD). GERD leading to BE is a common pre-occurrence in EAC patients, but the mechanism remains obscure. To explore the mechanism and its components, we compared gene expression in BE and EAC cells with normal cells and discovered the overexpression of TRIM31 in the pathogenic cells. Although previous studies have shown oncogenic potential of TRIM31 in some cancers, its role in EAC is yet to be understood. Methods: RNA sequencing and transcriptomic profiling were performed on human NE, BE, and EAC epithelial tissue samples. TRIM31 expression in NE cell line (Het-1A) and EAC cell lines (OE19, Flo-1, OE33, SK-GT-2, and OACM5.1C) were identified by Western blot. The Het-1A cell line, after exposure to acidic pH and bile acid, was assessed for variable TRIM31 expression. Cell viability analysis of NE and EAC cell lines after exposure to acidic pH and bile acids was observed by WST-1 assay. Results: RNA sequencing, transcriptomic profiling, and western blot revealed overexpression of TRIM31 in BE and EAC epithelium. Exposure of Het-1A cells to bile acids in acidic pH changed the cell morphology with enhanced expression of TRIM31. WST-1 revealed that EAC cells were more resistant to acidic pH and bile acid exposure. Conclusions and potential impact: Our data suggests that increased TRIM31 expression correlates with esophageal epithelium resistance when exposed to bile acids and acidic pH. Consequently, TRIM31 may be a key player in the metaplasia of GERD-induced EAC development and may be an innovative therapeutic target and marker for EAC.
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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 | 0.001 |
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".