Abstract 4515: Low serum levels of a novel anti-inflammatory fatty acid as a new risk factor for colorectal cancer
Bibliographic record
Abstract
Abstract Low serum levels of novel, long-chain, hydroxylated and polyunsaturated fatty acids (GTAs) in colorectal cancer (CRC) patients has been previously reported. This study prospectively investigated the relationship between serum GTA levels and CRC incidence among subjects undergoing colonoscopy. Serum samples and pathology data were collected from 4923 representative subjects undergoing colonoscopy in a typical, non-screening, colonoscopy population and from 964 representative age and geographically-matched subjects from the general population. Serum GTA-446 levels were determined on all subjects using a sensitive tandem mass spectrometric method. A low serum GTA-446 level was defined as a GTA-446 concentration below the tenth percentile of 40-49 year-olds in the general population sampling. Eighty-six percent of newly diagnosed CRC subjects (87% for stage 0-II and 85% for stage III-IV) were observed to have low serum GTA-446 levels, with a PPV of 15% and NPV of 99.7%. CRC incidence was observed to increase significantly with age in all subjects (p<0.05) and in low GTA-446 subjects (p<0.05), but not in subjects with normal serum GTA-446 levels (p=0.86). The CRC incidence rate in subjects with low GTA-446 levels (3.1%) was over six times higher than for subjects with normal GTA-446 levels (0.5%) and approximately twice that of subjects with GI symptoms (2.0%). The results indicate that a low serum GTA-446 level is a significant risk factor for CRC and a sensitive predictor of early-stage disease, and that low-GTA levels could be responsible for the age-associated increase in CRC incidence. Implications for population-wide screening are discussed. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 4515. doi:1538-7445.AM2012-4515
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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".