Roles of Necroptosis, Apoptosis, and Inflammation in Colorectal Carcinogenesis: A Longitudinal Human Study
Bibliographic record
Abstract
Necroptosis triggers an inflammatory cascade associated with antimicrobial defense. No prospective human study has yet explored the role of necroptosis in colorectal cancer development. We conducted quantitative analysis of biomarkers for necroptosis [transient receptor potential cation channel subfamily M member 7 (TRPM7) and phosphorylated mixed lineage kinase domain-like protein], inflammation [cyclooxygenase-2 (COX-2)], apoptosis [BCL2-associated X (BAX) and terminal deoxynucleotidyl transferase dUTP nick end labeling], and cell proliferation (Ki67). This was done using tissue microarray biospecimens from the Cooperative Human Tissue Network and rectal biopsies from a longitudinal study within the Personalized Prevention of Colorectal Cancer Trial. In the human colorectal adenoma-carcinoma sequence, we observed an inverse expression trend between BAX and TRPM7; TRPM7 decreased from normal mucosa to small and large adenomas but significantly increased in early colorectal cancer stages (Ptrend = 0.004). It maintained high levels through all cancer stages. An increased COX-2 intensity in the epithelium was noted during tumorigenesis (Ptrend = 0.02) and was significantly associated with an elevated risk of metachronous polyps (odds ratio = 3.04; 95% confidence interval, 1.07-8.61; Ptrend = 0.02). The combined composite index scores of TRPM7 and COX-2 were strongly linked to 6- to 47-fold increased risks for metachronous adenoma/serrated polyps, whereas combined scores of phosphorylated mixed lineage kinase domain-like protein or TRPM7 with BAX were associated with an 11.5- or 13.3-fold elevated risk for metachronous serrated polyps. In conclusion, our findings suggest that COX-2 expression within normal-looking colorectal mucosa is significantly associated with an increased risk of metachronous colorectal polyp. Furthermore, our results propose the hypothesis that synergistic interactions among necroptosis, inflammation, and apoptosis could play a pivotal role in human colorectal tumorigenesis. Prevention Relevance: Our findings suggest that COX-2 expression and combined scores of COX-2, TRPM7, and BAX hold promise for predicting the risk of metachronous polyps and could potentially serve as a tool for assessing the effectiveness of chemopreventive agents in preventing colorectal cancer during intervention trials.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".