The Association Between RACK1 Gene Polymorphisms rs1279736 and rs3756585 in Uterine Cervical Cancer with the Risk Factor of HPV: A Focus on Squamous Cell Carcinoma (SCC)
Bibliographic record
Abstract
Background & Objective: Cervical cancer is the second most common malignancy among women worldwide. The Receptor for Activated C Kinase 1 (RACK1) has a key role in regulating the pathways of cell signaling, angiogenesis, cell migration, invasion, and metastasis. This study investigated the association of polymorphisms rs1279736 and rs3756585 with cervical cancer.Methods: In this study, 100 LB pap-smear and paraffin block samples of cervical squamous carcinoma associated with Human papillomavirus (HPV) were selected along with 100 LB smear cytology samples from healthy women with normal pap smears, serving as the control group. Genomic DNA was extracted from the samples, and the polymorphisms rs1279736 and rs3756585 in the RACK1 genes were examined using the RFLP-PCR and ARMS-PCR methods, respectively.Results: The rs1279736 polymorphism shows that the chance of cervical cancer in individuals with CA and AA genotypes is 3.772 and 1.852 times that of CC genotypes, respectively. This suggests that the A allele is involved in developing cervical cancer (P=0.005; OR=2.113). The rs3756585 polymorphism indicates that the chance of cervical cancer in TG and GG genotypes is 0.373 and 4.235 times that of TT genotypes, respectively. This also points towards the involvement of the G allele in the development of cervical cancer (P=0.032; OR=1.800). Also, there was no significant relationship between the genotype of polymorphisms, age, and subtype of papillomavirus 16 and 18 in patients.Conclusion: The present study was conducted for the first time. Our results showed that two polymorphisms are significantly associated with cervical 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".