BackgroundCervical cancer is the most common genital malignant tumor in women worldwide. However, the reliability of different detection methods may vary according to populations and epidemics. This study analyzed factors relevant to high-risk human papillomavirus (hrHPV) infection among rural Uyghur women aged > 30 years and evaluated the value of different screening methods for cervical precancerous lesions.MethodsFrom July 2015 to May 2016, 225 rural Uyghur women aged > 30 years were recruited from local health clinics throughout Pishan, Xinjiang, China. HrHPV DNA testing, colposcopy, biopsy of cervical precancerous lesions, and surveys were conducted. The results of different screening methods were compared, and factors associated with hrHPV infection were analyzed.ResultsThe rates of hrHPV infection and cervical epithelial lesions were 9.3 and 1.8%, respectively. The area under the ROC curve was 0.538 (95% CI: 0.292, 0.784; P = 0.753) for the HPV test and 0.995 (95% CI: 0.988, 1.003; P < 0.001) for colposcopy. Factors associated with HPV infection included widowhood (OR = 13.601 (2.170, 85.263), P = 0.005) and ≥ 3 sexual partners in the past 5 years (OR = 16.808 (4.148, 68.101), P < 0.001). .ConclusionsAmong rural Uyghur women aged > 30 years, the main factors for HPV infection include marriage and frequent sexual intercourse. Colposcopy has a higher screening value for cervical epithelial lesions than hrHPV testing.
Background PGF and TNFAIP2 are important angiogenic factors, which were abnormal expression in cervical cancer (CC). However, there is currently no report investigating the relationship of PGF and TNFAIP2 gene polymorphisms to CC risk. Methods We conducted a case-control study of 342 CC patients and 498 cancer-free controls in a Chinese Uygur female population. Three SNPs (PGF rs8019391, PGF rs2268615, and TNFAIP2 rs710100) were selected and genotyped to assess the possible association of PGF and TNFAIP2 polymorphisms with CC susceptibility. Logistic regression analysis adjusted by age was used. Results PGF rs2268615 (OR = 1.39, 95% CI = 1.04–1.86, p = 0.024) and TNFAIP2 rs710100 (OR = 1.44, 95% CI =1.07–1.95, p = 0.018) polymorphisms were associated with the increased risk of CC. Moreover, T allele of PGF rs8019391 was highly represented in patients with stage III–IV compared with stage I-II (OR = 2.17, p = 4.58 × 10− 4). MDR analysis revealed a positive interaction between the SNPs. Conclusion Our data indicated that PGF rs2268615, and TNFAIP2 rs710100 polymorphisms might be risk factors for CC susceptibility, which contributed to the increased risk of CC. Trial registration Not applicable.
Background: PGF and TNFAIP2 are important angiogenic factors, which were abnormal expression in cervical cancer (CC). However, there is currently no report investigating the relationship of PGF and TNFAIP2 gene polymorphisms to CC risk. Methods: We conducted a case-control study of 342 CC patients and 498 cancer-free controls in a Chinese Uygur female population. Three SNPs (PGF rs8019391, PGF rs2268615, and TNFAIP2 rs710100) were selected and genotyped to assess the possible association of PGF and TNFAIP2 polymorphisms with CC susceptibility. Logistic regression analysis adjusted by age was used. Results: PGF rs2268615 (OR = 1.39, 95% CI = 1.04-1.86, p = 0.024) and TNFAIP2 rs710100 (OR = 1.44, 95% CI =1.07-1.95, p = 0.018) polymorphisms were associated with the increased risk of CC. Moreover, T allele of PGF rs8019391 was highly represented in patients with stage III–IV compared with stage I-II (OR = 2.17, p = 4.58´10-4). MDR analysis revealed a positive interaction between the SNPs. Conclusion: Our data indicated that PGF rs2268615, and TNFAIP2 rs710100 polymorphisms might be risk factors for CC susceptibility, which contributed to the increased risk of CC. Trail registration: Not applicable.
Background: PGF and TNFAIP2 are important angiogenic factors, which were abnormal expression in cervical cancer (CC). However, there is currently no report investigating the relationship of PGF and TNFAIP2 gene polymorphisms to CC risk. Methods: We conducted a case-control study of 342 CC patients and 498 cancer-free controls in a Chinese Uygur female population. Three SNPs (PGF rs8019391, PGF rs2268615, and TNFAIP2 rs710100) were selected and genotyped to assess the possible association of PGF and TNFAIP2 polymorphisms with CC susceptibility. Logistic regression analysis adjusted by age was used. Results: PGF rs2268615 (OR = 1.39, 95% CI = 1.04-1.86, p = 0.024) and TNFAIP2 rs710100 (OR = 1.44, 95% CI =1.07-1.95, p = 0.018) polymorphisms were associated with the increased risk of CC. Moreover, T allele of PGF rs8019391 was highly represented in patients with stage III–IV compared with stage I-II (OR = 2.17, p = 4.58´10-4). MDR analysis revealed a positive interaction between the SNPs. Conclusion: Our data indicated that PGF rs2268615, and TNFAIP2 rs710100 polymorphisms might be risk factors for CC susceptibility, which contributed to the increased risk of CC. Trail registration: Not applicable.
Background: PGF and TNFAIP2 are important angiogenic factors, which were abnormal expression in cervical cancer (CC). However, there is currently no report investigating the relationship of PGF and TNFAIP2 gene polymorphisms to CC risk.Methods: We conducted a case-control study of 342 CC patients and 498 cancer-free controls in a Chinese Uygur female population. Three SNPs (PGF rs8019391, PGF rs2268615, and TNFAIP2 rs710100) were selected and genotyped to assess the possible association of PGF and TNFAIP2 polymorphisms with CC susceptibility. Logistic regression analysis adjusted by age was used.Results: PGF rs2268615 (OR = 1.39, 95% CI = 1.04-1.86, p = 0.024) and TNFAIP2 rs710100 (OR = 1.44, 95% CI =1.07-1.95, p = 0.018) polymorphisms were associated with the increased risk of CC. Moreover, T allele of PGF rs8019391 was highly represented in patients with stage III–IV compared with stage I-II (OR = 2.17, p = 4.58´10-4). MDR analysis revealed a positive interaction between the SNPs.Conclusion: Our data indicated that PGF rs2268615, and TNFAIP2 rs710100 polymorphisms might be risk factors for CC susceptibility, which contributed to the increased risk of CC.Trail registration: Not applicable.
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