A Case-Control Study of TP53 R72P Polymorphism in the Breast Cancer Patients of Ethnic Kashmiri Population
Bibliographic record
Abstract
BACKGROUND: TP53 R72P polymorphism has been proposed as a risk factor for breast cancer and is more likely to differ among different ethnic populations. We carried out the study to determine the role of R72P polymorphism in breast cancer patients of Kashmir, an ethnic population by PCR-RFLP. METHODS: To evaluate the role of this polymorphism in our ethnic Kashmiri population, we devised our study to study its role in breast cancer patients and healthy controls. The contribution of TP53 R72P polymorphism in 130 breast cancer patients and 220 female healthy controls was assessed using a PCR-RFLP (polymerase chain reaction-restriction fragment length polymorphism). RESULTS: We observed that women with PP genotype have increased risk for developing breast cancer. We found Pro/Pro genotype statistically significantly associated with dwelling, lymph node metastases, histopathological grade, and menopausal status. Pro/Pro genotype in cases and controls was observed and it was found that it is significantly associated with the breast cancer. CONCLUSIONS: Our findings suggest that TP53 R72P polymorphism is a risk factor in breast cancer. Furthermore, these results suggest Pro72 allele is associated with higher risk for breast cancer patients. Women with PP genotype have increased risk for developing breast cancer.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".