Abstract 596: Association between an empirically-derived inflammatory lifestyle score and incident colorectal cancer
Bibliographic record
Abstract
Abstract Inflammation is often suggested as major pathway by which lifestyle influences the development of colorectal cancer (CRC). In the present analysis, we empirically derived an inflammatory lifestyle score (ILS) based on associations of nine lifestyle factors with serum levels of high-sensitivity C-reactive protein (hsCRP) and subsequently examined its association with incident CRC in the Cancer Prevention Study-II Nutrition Cohort. Lifestyle factors other than smoking were chosen a priori from the American Cancer Society’s Guidelines on Nutrition and Physical Activity for Cancer Prevention to include body mass index, physical activity, sedentary time, fruit/vegetable intake, variety of fruits/vegetables consumed, red/processed meat intake, ratio of whole to refined grains consumed, alcohol consumption, and smoking status. Reduced rank regression was used to create sex-specific lifestyle scores that correlate the nine lifestyle factors with hsCRP in a testing subset of 2,707 men and women with no history of cancer at the time of blood draw. In a validation subset (n=540), the derived ILS was positively correlated with serum hsCRP levels (r=0.19, p-value<0.001). Model weights from reduced rank regression in the testing subset were used to calculate the ILS among 114,974 men and women of the cohort for whom hsCRP levels were not available. The association between the ILS and incident CRC was examined using Cox proportional hazards regression to estimate hazard ratios and 95% confidence intervals adjusted for age, sex, education, non-steroidal anti-inflammatory drug use, multivitamin use, postmenopausal hormone therapy, and diabetes status. Starting at baseline in 1999, during a mean follow-up of 12.6 years, 2,082 incident CRC cases were identified (1,649 colon; 433 rectum). Participants in the third and fourth ILS quartiles had 15% (95% CI: 1%, 31%) and 34% (95% CI: 18%, 53%) higher risk of CRC, respectively, than those in the first ILS quartile. A 1-standard deviation increase in the score was associated with 10% higher risk of CRC (95% CI: 1.05, 1.15). The association between the ILS and CRC did not differ across strata of sex or age (<70, ≥70 years). A Lunn-McNeil competing risk model showed no evidence of a differential association of the ILS on CRC organ subtypes (colon vs. rectal). Results support evidence that a lifestyle indicative of high inflammatory potential is associated with an increased risk of developing CRC. To examine other mechanisms by which lifestyle influences CRC risk, additional analyses will use serum levels of C-peptide and hemoglobin A1c. The biomarkers will be examined individually, together (i.e., glucose homeostasis), and in combination with hsCRP (poor metabolic function) to develop lifestyle scores. Citation Format: Mark Guinter, Susan Gapstur, W. Dana Flanders, Ying Wang, Erika Rees-Punia, Marjorie McCullough, Kassandra I. Alcaraz, Michael Pollak, Peter Campbell. Association between an empirically-derived inflammatory lifestyle score and incident colorectal cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 596.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".