Association of single nucleotide autophagy‐related protein 5 gene polymorphism rs2245214 with susceptibility to non–small cell lung cancer
Bibliographic record
Abstract
INTRODUCTION: Autophagy is a mechanism that is involved in the regulation of cellular life, apoptosis, and stemness while its intervening genes play important functions in various cancers including lung cancer. ATG5 is one of the key genes for the regulation of the autophagy pathway. In this study, our team has investigated the potential relationship between ATG5 gene polymorphism rs2245214 with non-small cell lung cancer (NSCLC) in a subpopulation of patients from southern Iran. In this study, 34 patients with NSCLC (20 males and 14 females [mean age: 12.86 ± 60.47 years]) and 50 healthy subjects (30 males and 20 females [mean age: 13.09 ± 56.62 years]) were studied in terms of the genotype of the ATG5 gene. We used restriction fragment length polymorphism and analyzed the results using SPSS software (v.23). The results revealed that subjects harboring the guanine/cytosine (GC) genotype of the rs2245214 ATG5 gene polymorphism had suffered less from NSCLC, whereas the prevalence of the C-allele of this polymorphism was significantly higher in patients with NSCLC ( P < 0.05). On the basis of the results of logistic regression, the presence of this C-allele may predict the risk of lung cancer ( P value = 0.011; OR, 3.52; 95% CI, 1.33-9.26). This study concludes that the C-allele of the rs2245214 ATG5 gene polymorphism is associated with increased susceptibility to NSCLC, whereas the GC genotype of this polymorphism is associated with decreased risk and might therefore have a protective role in the development of NSCLC.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".