New insights of the correlation between AXIN2 polymorphism and cancer risk and susceptibility: evidence from 72 studies

Predicting Survival Among Colorectal Cancer Patients: Development and Validation of Polygenic Survival Score

Purpose

Colorectal cancer is the second leading cause of cancer-related death in the United States. A multi-omics approach has contributed in identifying various cancer-specific mutations, epigenetic alterations, and cells response to chemotherapy. This study aimed to determine the factors associated with colorectal cancer survival and develop and validate a polygenic survival scoring system (PSS) using a multi-omics approach.

Patients and Methods

Data were obtained from the Cancer Genome Atlas (TCGA). Colon Adenocarcinoma (TCGA-COAD) data were used to develop a survival prediction model and PSS, whereas rectal adenocarcinoma (TCGA-READ) data were used to validate the PSS. Cox proportional hazards regression analysis was conducted to examine the association between the demographic characteristics, clinical variables, and mRNA gene expression.

Results

Overall accuracy of PSS was also evaluated. The median overall survival for TCGA-COAD patients was 7 years and for TCGA-READ patients was 5 years. The multivariate Cox proportional hazards model identified age, cancer stage, and expression of nine genes as predictors of colon cancer survival. Based on the median PSS of 0.38, 48% of TCGA-COAD patients had high mortality risk. Patients in the low risk group had significantly higher 5-year survival rates than those in the high group (p <0.0001). The PSS demonstrated a high overall accuracy in predicting colorectal cancer survival.

Conclusion

This study integrated clinical and transcriptome data to identify survival predictors in patients with colorectal cancer. PSS is an accurate and valid measure for estimating colorectal cancer survival. Thus, it can serve as an important tool for future colorectal cancer research.

"Examining the link between tooth agenesis and papillary thyroid cancer: is there a risk factor?" Observational study

BACKGROUND

Mutations in one or multiple genes can lead to hypodontia and its characteristic features. Numerous studies have shown a strong genetic influence on the occurrence of hypodontia, and identified several genes, including AXIN2, EDA, FGF3, FGFR2, FGFR10, WNT10A, MSX1, and PAX9, that are directly associated with dental agenesis and carcinogenesis. The objective of this study was to investigate the occurrence and pattern of tooth agenesis, microdontia, and palatally displaced canine (PDC) in women diagnosed with papillary thyroid cancer (PTC), compared to a control group of women without any malignancy or thyroid disease.

MATERIALS AND METHODS

This case-control study was carried at the Department of Orthodontics, School of Dental Medicine University of Zagreb, and Department of Oncology and Nuclear Medicine Sestre Milosrdnice University Hospital Centre. The study involved a clinical examination and evaluation of dental status, panoramic X-ray analysis, and assessment of medical and family history of 116 female patients aged 20-40 with PTC, as well as 424 females in the control group who were of similar age.

RESULTS

The prevalence of hypodontia, microdontia, and PDC was statistically higher in women with PTC than in the control group. The prevalence rate of hypodontia was 11.3% in the experimental group and 3.5% in the control group. The experimental group showed a higher occurrence of missing upper lateral incisors, lower left central incisors, and all the third molars (except the upper left) compared to the control group. Women with PTC showed the prevalence of PDC significantly higher than the control group (3.5%, 0.7%, p = 0.002). The probability of hypodontia as a clinical finding increases 2.6 times, and microdontia occurs 7.7 times more frequently in women with PTC.

CONCLUSION

Our study suggests a possible link between odontogenesis and PTC. The absence of permanent teeth may increase the likelihood of PTC in women. Leveraging the age-7 orthopantomogram to identify women at high risk for PTC within a critical early detection window could significantly improve oral health outcomes and PTC prognosis through proactive interventions.

Association of AXIN2 s2240308 C>T, rs1133683 C>T, rs7224837 A>G Polymorphisms with Susceptibility to Breast Cancer

BACKGROUND

The association of genetic polymorphisms at Axis inhibition protein 2 (AXIN2) gene and susceptibility to different cancer has attracted much interest. The present study aimed to evaluate the association between AXIN2 rs2240308 C>T, rs1133683 C>T, rs7224837 A>G polymorphisms with susceptibility to breast cancer.

METHODS

A polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) assay was designed to genotype the AXIN2 rs2240308 C>T, rs1133683 C>T, rs7224837 A>G polymorphisms among 150 breast cancer patients and 150 healthy subjects.

RESULTS

The frequencies of these genetic variants were in agreement with Hardy-Weinberg equilibrium in healthy controls (p>0.05). The frequencies of AXIN2 rs2240308 C>T, rs1133683 C>T, rs7224837 A>G genotypes were similar in breast cancer patients and controls. There was no a significant association between the AXIN2 SNP and risk of breast cancer.

CONCLUSION

The impact of AXIN2 polymorphisms in the breast cancer development remains unclear. Our results indicated that AXIN2 rs2240308, rs7224837 and rs1133683 polymorphisms did not contribute to increased risk of breast cancer. More studies with larger sample sizes and diverse ethnicities are warranted to verify our finding.