Abstract B28: Epigenetic contribution of Wnt antagonists SFRP1 and DKK1 as prognostic markers in colorectal cancer
Bibliographic record
Abstract
Abstract Background: Aberrant Wnt pathway activation is a vital carcinogenic event in colorectal cancer (CRC). DKK1 and SFRP1 encode extracellular inhibitors of canonical and canonical/non-canonical Wnt signaling, respectively, that are frequently silenced by promoter hypermethylation in CRC. Despite their known tumor-suppressive roles, few studies have systematically examined the prognostic/predictive significance of methylation in these genes in tumor development. Using a population-based genetic epidemiological approach, we investigated the methylation status of DKK1 and SFRP1 in a large cohort of primary CRCs and correlations to patient clinicopathological data. Methods: As part of a Canadian interdisciplinary initiative to study the genetic and environmental determinants of CRC, we accrued a large number of primary colorectal carcinoma cases diagnosed in the province of Ontario, representative of a heterogeneous population (n = 558), and in the province of Newfoundland, representative of a founder population (n = 650). We examined the methylation status of DKK1 and SFRP1 gene promoters in colorectal tumors and matched normal colon tissues using MethyLight assay, a semi-quantitative methylation detection technique. We examined correlations between methylation levels and frequency, and a comprehensive array of patient clinicopathological features such as: age, sex, tumor stage, grade, tumor MSI subtype, and clinical outcome. Statistical analysis was performed using 2-tailed Fisher's exact test, SPSS v16. Results: Respective DKK1 and SFRP1 methylation frequencies were similar in Ontario (13%, 95%) and Newfoundland (14%, 94%). Methylation was highly tumor specific. DKK1 methylation was a strong predictor of the microsatellite instability (MSI) tumor subtype in Ontario (OR=13.7 [7.8, 24.2], p < 0.001) and in Newfoundland (OR=3.9 [2.8, 5.6] p < 0.001). SFRP1 methylation was a predictor against MSI tumors in Ontario (OR=0.25 [0.15, 0.52], p < 0.001). Conclusion: Our study highlights the prognostic role of DKK1 and SFRP1 methylation related to CRC tumor subtype and suggests a novel distinction between the relative involvements of different Wnt pathways in microsatellite stable vs. unstable CRC. Citation Information: Clin Cancer Res 2010;16(7 Suppl):B28
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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 | 0.001 | 0.001 |
| 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) | 0.002 | 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".