Lung Cancer Risk Associated with Thr495Pro Polymorphism of GHR in Chinese Population
Bibliographic record
Abstract
The incidence of lung cancer has been increasing over recent decades. Previous studies showed that polymorphisms of the genes involved in carcinogen-detoxication, DNA repair and cell cycle control comprise risk factors for lung cancer. Recent observations revealed that the growth hormone receptor (GHR) might play important roles in carcinogenesis and Rudd et al. found that the Thr495Pro polymorphism of GHR was strongly associated with lung cancer risk in Caucasians living in the UK (OR = 12.98, P = 0.0019, 95% CI: 1.77-infinity). To test whether this variant of GHR would modify the risk of lung cancer in Chinese population, we compared the polymorphism between 778 lung cancer patients and 781 healthy control subjects. Our results indicate that the frequency of 495Thr (2.8%) allele in cases was significantly higher than in controls (OR = 2.04, P = 0.006, 95% CI: 1.21-3.42) which indicated this allele might be a risk factor for lung cancer. Further analyses revealed Thr495Pro variant was associated with lung cancer in the subpopulation with higher risk for lung cancer: male subpopulation, still-smokers subpopulation and the subpopulation with familial history of cancer. In different histological types of lung cancer, Thr495Pro SNP was significantly associated with small cell and squamous cell lung cancer, but not with adenocarcinoma, which suggested a potential interaction between this polymorphism and metabolic pathways related to smoking. The potential gene-environment interaction on lung cancer risk was evaluated using MDR software. A significant redundant interaction between Thr495Pro polymorphism and smoking dose and familial history of cancer was identified and the combination of genetic factors and smoking status or familial history of cancer barely increased the cancer risk prediction accuracy. In conclusion, our results suggested that the Thr495Pro polymorphism of GHR was associated with the risk of lung cancer in a redundant interaction with smoking and familial history of cancer.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".