OBJECTIVE: To assess the association of single nucleotide polymorphisms of rs700519 and rs4646 loci of cytochrome P450 19A1 (CYP19A1) gene with risk of Breast cancer. METHODS: Two hundred patients with breast cancer treated at Xinxiang Central Hospital between January 2019 and January 2024 and 100 healthy individuals were enrolled as the study group and control group, respectively. The genotypes of the CYP19A1 gene at the rs700519 and rs4646 loci were determined by direct sequencing. The general data, distribution of CYP19A1 genotypes and alleles were compared between the two groups. This study has been approved by the Medical Ethics Committee of Xinxiang Central Hospital (Ethics No. 2021-182). RESULTS: No significant difference was found in age, body mass index, times of conception and proportion of menopause between the two groups (P > 0.05). The frequencies of AA genotype and A allele at the rs700519 locus, and the CC genotype and C allele at the rs4646 locus in the study group were significantly higher than those of the control group (P < 0.05). The frequencies of AA genotype at the rs700519 locus and CC genotype at the rs4646 locus in patients with breast cancer at stages III-IV were significantly higher than those at stage I-II (P < 0.05). CONCLUSION Polymorphisms of CYP19A1 gene at the rs700519 and rs4646 loci are associated with susceptibility of breast cancer. The AA and CC genotypes at the two loci may increase the risk for breast cancer.
Humans ; Female ; Breast Neoplasms/genetics* ; Aromatase/genetics* ; Polymorphism, Single Nucleotide/genetics* ; Middle Aged ; Genetic Predisposition to Disease ; Adult ; Genotype ; Case-Control Studies ; Alleles ; Gene Frequency ; Risk Factors ; Aged

Objective:To explore the feasibility of extracting the key plane of the normal fetal palate on the 11-13 + 6 week from tomography ultrasonography imaging based on artificial intelligence. Methods:The fetal volume datas of 235 cases of 11-13 + 6 week normal fetal were collected from the Department of Ultrasound in the Luohu District People′s Hospital of Shenzhen and Huazhong University of Science and Technology Union Shenzhen Hospital from May 2020 to April 2021. The data acquisition was completed by sonographers A and B by using the GE Voluson E10 color Doppler ultrasound diagnostic instrument. All datas were marked offline by sonographer C. Tomographic imaging was performed on all included data by sonographer D, the tomographic images were saved and the time-consuming was recorded, and the datas of the sonographer group were obtained. The labeled data were randomly divided into the training set and test set for model transfer learning and testing.The 4-fold cross-validation was adopted to record the test set image output by the model and the time consumption to obtain the intelligent group data. A senior sonographer performed image analysis on the two groups of data images. The feasibility of the intelligent model was verified by comparing the score of the plane of retronasal triangle(RTP), the acquisition rate of RTP, the acquisition rate of the fault, and the time-consuming difference between the sonographer group and the intelligent group. Results:①There was no significant difference in the overall distribution of RTP scores between the sonographer group and intelligent group [5 (5, 6) points vs 5 (5, 6) points, Z=0.355, P=0.722]. The RTP acquisition rate of the sonographer group and intelligent group was not statistically significant (78.72% vs 76.60%, χ 2=0.55, P=0.458). The consistency and correlation of RTP obtained by the two groups were high (Kappa=0.645, φ=0.646, both P<0.001). ②The effective layers of the sonographer group were 9 (8, 9) and the intelligent group was 8 (7, 9). The fault acquisition rate of the doctor group was higher than that of the intelligent group (78.72% vs 68.51%, χ 2=12.52, P=0.001). The consistency and correlation of the two groups in obtaining faults were media (Kappa=0.503, φ=0.521, both P<0.001). ③The time-consuming of the intelligent group was significantly lower than that of the sonographer group [1.50 (1.23, 1.75)s vs 26.94 (22.28, 30.48)s, Z=11.440, P<0.001]. Conclusions:This research model can quickly and accurately realize the extraction and tomography of the key plane of the normal fetal palate on the 11-13 + 6 week.