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.

The timely detection of precancerous lesions and early intervention can greatly reduce cervical cancer occurrence. The current study aimed to assess the diagnostic value and accuracy of different methods of cervical lesion screening. A total of 1622 females who visited the Outpatient Department of Xinjiang Uyghur Autonomous Region People’s Hospital between January and December 2018 were consecutively enrolled. All participants underwent separate high-risk human papilloma virus (HR-HPV) DNA detection, ThinPrep cytology testing (TCT) and colposcopic biopsy. Their medical records were retrospectively analyzed. While considering biopsy outcomes as the gold standard, the diagnostic values of TCT, HR-HPV testing, and TCT+HR-HPV testing for cervical cancer screening were compared. The sensitivity, specificity and Youden index of each method were calculated. Among the different methods, TCT+HR-HPV testing had the highest sensitivity (89.8%), followed by TCT (79.9%) and HR-HPV testing (49.2%). The combined method also had the highest Youden value, and its screening outcomes exhibited the highest consistency with those of biopsy. In addition, the combined method had the largest area under the receiver operating characteristic (ROC) curve, which was 0.673 (0.647, 0.699), compared with any other screening method. Compared with TCT or HR-HPV testing alone, TCT+HR-HPV testing serves as a better screening method for cervical cancer and precancerous lesions.

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.

Abstract Background: PGF and TNFAIP2 are important angiogenic factors, which were abnormal expression in cervical cancer (CC). However, no report was investigating the associations between the polymorphisms in the PGF and TNFAIP2 genes and CC risk. Methods: We conducted a case-control study of 342 CC patients and 498 cancer-free controls in Chinese Uygur female population. Three selected SNPs (PGF rs8019391, PGF rs2268615, and TNFAIP2 rs710100) were genotyped to investigate the possible association of the polymorphisms in PGF and TNFAIP2 with the risk of CC. The analysis adjusted by age was used to assess associations of these SNPs with CC risk. 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 significantly associated with the increased risk of CC. Moreover, PGF rs8019391 T allele was highly represented in patients with III–IV tumor stage (OR = 2.17, p = 4.58´10-4). MDR analysis revealed a positive interaction between the SNPs. Conclusion: Our data suggested that PGF rs2268615, and TNFAIP2 rs710100 polymorphisms may be risk factors for susceptibility to CC, which contributed to the increased risk of CC, and this finding requires further validation by larger studies.Trail registration: Not applicable.