Abstract 1016: Variants in autophagy related genes and clinical characteristics in melanoma: a population-based study
Bibliographic record
Abstract
Abstract Autophagy has been linked with melanoma, but no polymorphisms in autophagy related (ATG) genes have been investigated for association with melanoma prognostic indicators and survival. We examined 5 ATG gene single nucleotide polymorphisms (SNPs) in a large international multicenter population-based case-control study of melanoma. DNA from 911 melanoma patients was genotyped for five SNPs with a known or suspected impact on autophagic flux. While we did not identify an association with survival, a significant association was identified between the minor allele for an ATG16L polymorphism (rs2241880) and a decrease in Breslow thickness (p = 0.03), earlier tumor stage at diagnosis (OR 0.47, 95% CI 0.27-0.81, p = 0.02) and younger age at diagnosis (p = 0.02). In addition, two SNPs in ATG5 (rs2245214 and rs510432) were found to be significantly associated with increased tumor stage of melanoma (OR 1.84 95% CI 1.12-3.02, p = 0.05; OR 1.47 95% CI 1.11-1.94, p = 0.03). Finally, we identified inverse associations between the minor allele of rs2245214 and melanomas on the scalp or neck (OR 0.20, 95% CI 0.05-0.86, p = 0.03); rs1864182 (OR 0.42, 95% CI 0.21-0.88, p = 0.02) and brisk TILs, and rs510432 (OR 0.55 95% CI 0.34-0.87, p = 0.01) with non-brisk TILs, although they were not globally significant. In summary, our data suggests that ATG SNPs, while not associated with survival, may be associated with Breslow thickness, tumor stage, age at diagnosis, and aggressive histopathological factors. These associations could contribute to our current understanding of the significant role of autophagy in melanoma progression. Citation Format: Kirsten A. m. White, Li Luo, Todd A. Thompson, Salina Torres, Chien-An A. Hu, Nancy E. Thomas, Hoda Anton-Culver, Stephen B. Gruber, Lynn From, Klaus J. Busam, Irene Orlow, Peter A. Kanetsky, Lorraine D. Marrett, Richard P. Gallagher, Roberto Zanetti, Stefano Rosso, Terry Dwyer, Anne E. Cust, Allison Venn, Colin B. Begg, Marianne Berwick, Jenna Lillyquist. Variants in autophagy related genes and clinical characteristics in melanoma: a population-based study. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 1016.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".