Association of the OCTN1/1672T variant with increased risk for colorectal cancer in young individuals and ulcerative colitis patients
Bibliographic record
Abstract
BACKGROUND: Ulcerative colitis (UC) is associated with colorectal cancer. Chronic inflammation may also play a role in the pathogenesis of sporadic colorectal cancer (SCC), particularly in younger patients (<55 years). We evaluated whether single nucleotide polymorphisms of the OCTN1 and OCTN2 genes are associated with UC, SCC, and with UC cases with cancer progression (UCCP). METHODS: We evaluated the OCTN1 and OCTN2 polymorphisms in 200 patients with UC, 59 patients with UCCP, 200 patients with SCC, and 200 controls (HC). IL-8 expression was also assessed by real-time polymerase chain reaction (PCR). Additionally, we transfected human colon carcinoma Caco2 cells, homozygous for OCTN1/1672T variant, with the OCTN1/1672C allele and NF-κB activity was evaluated by luciferase based reporter assay and IL-8 mRNA expression by real-time PCR. RESULTS: OCTN2 polymorphisms did not present a significant association with any group of patients compared to normal controls. Conversely, homozygosity for the OCTN1/1672T variant was significantly associated with UC (P = 0.047 vs. HC), with UCCP (UCCP vs. HC, P < 0.001), and with SCC developing in early age (<55 years) (P = 0.021 vs. HC). Importantly, IL-8 mRNA expression was higher in UC and UCCP patients homozygous for the OCTN1 1672T variant compared to the other genotypes. Moreover, in Caco2 cells transfection of the OCTN1/1672C variant reduced the activity of the proinflammatory factor NF-κB. CONCLUSION: Our data demonstrate that OCTN1 could have a role in modulating the severity of chronic inflammation associated with SCC in early age and in UC patients, and that its polymorphisms may help to predict malignant progression of IBD.
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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 | 0.001 |
| 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) | 0.003 | 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".