MicroRNAs (miRNAs) function as gene regulator and they participate in diverse biological pathways. Common single nucleotide polymorphisms (SNPs) in pre-microRNAs may change their property through altering miRNAs expression and/or maturation. We conducted a pilot study to test whether SNPs in pre-microRNAs were associated with cervical squamous cell carcinoma (CSCC). Genotypes of three SNPs in pre-miRNAs (hsa-miR-196a2 rs11614913 C/T, hsa-miR-499 rs3746444 A/G, and hsa-miR-146a rs2910164 G/C) in 226 CSCC patients and 309 control subjects were determined with the use of PCR-restriction fragment length polymorphism (RFLP) assay. Significantly increased CSCC risks were found to be associated with G allele of rs3746444 and G allele of rs2910164 (P = 0.017, OR = 1.454, and P = 0.016, OR = 1.355, respectively). Increased CSCC risks were associated with them in different genetic model (P = 0.0004, OR = 1.98 for rs3746444 in an overdominant model, and P = 0.024, OR = 2.10 for rs2910164 in a codominant model, respectively). Results of stratified analyses revealed that rs2910164 is associated with tumor differentiation and lymph node status (P = 0.043, OR = 2.08, and a borderline P = 0.057, OR = 0.41, respectively). No association between rs11614913 and CSCC risk was observed. The present study provides evidence that rs3746444 and rs2910164 are associated with CSCC, indicating that common genetic polymorphisms in pre-microRNAs contribute to the pathogenesis of CSCC.
We found that U. urealyticum and M. genitalium may increase the risk of high-risk HPV infection, while U. urealyticum, U. parvum, and M. hominis may increase the risk of abnormal cervical cytopathology.
Objective
Estrogen is a well-known oncogenic driver in endometrial and breast cancers. Programmed cell death protein 1 (PD-1) and its ligands PD-L1 and PD-L2 have been shown to mediate immune evasion of the tumor cells. The purpose of the present study was to assess the effects of estrogen on PD-L1 and PD-L2 expression in endometrial and breast cancer cell lines.
Methods
17β-estradiol (E2) -induced expression of PD-L1 and PD-L2 and possible signaling pathway were investigated in endometrial and breast cancer cells. Co-culture of T cells and cancer cells with E2 stimulation was performed to assess the functions of T cells.
Results
We found that 17β-estradiol (E2) increased expression of PD-L1, but not PD-L2 protein via activation of phosphoinositide 3-kinase (PI3K)/Akt pathway in Ishikawa and MCF-7 cells. PI3K and Akt inhibitors could block E2's effects. E2 did not increase PD-L1 mRNA transcription, but stabilized PD-L1 mRNA. E2's effects were only observed in estrogen receptor α (ERα) -positive Ishikawa and MCF-7 cells, but not in ERα-negative MDA-MB-231 cells. Co-culture of Ishikawa or MCF-7 cells with T cells inhibited expression of interferon-γ and interleukin-2 and increased Bim expression in the presence of E2.
Conclusion
This study provides the first evidence that estrogen up-regulates PD-L1 protein expression in ERα-positive endometrial and breast cancer cells to suppress immune functions of T cells in the tumor microenvironment, demonstrating a new mechanism of how estrogen drives cancer progression.
Background: The epidemiological feature of human papillomavirus (HPV) infection is distinctive in China. We aimed to investigate the multi-infection patterns and co-infection preference of 27 HPV types among gynecological outpatients across China. Methods: Overall 137,943 gynecological outpatients were recruited from eight tertiary hospitals located in seven regions of China, between July 1st, 2014 and December 31st, 2016. The overall, region-specific, age-specific and type-specific prevalence of HPV infection were calculated, respectively. The pattern of HPV infection was also evaluated. Furthermore, rate ratio was calculated to evaluate the co-infection preference of any two HPV genotypes. Results: The overall prevalence of 27 HPVs' [17 high-risk (hr)/10 low-risk (lr)] infection was 23.5%. The age-specific HPV prevalence showed a "U-shaped" pattern. The most prevalent hrHPV genotypes were 16, 52, and 58. Multiple infections were detected in 25.8% of the HPV-positive women, in which dual infection was more prevalent. HPV 16/18 were likely to co-infected with HPV 31 but unlikely with HPV 52/58, i.e., the coinfection of HPV 16 with HPV 31 was high (3.5-fold), but low for HPV 58 (1.8-fold), and 52 (1.2-fold), while the co-infection of HPV 18 with HPV 31 was high (4.3-fold), but low for HPV 52 (1.9-fold), and 58 (1.7-fold). Conclusions: We found age-specific prevalence of HPV infection showed a "U-shaped" pattern for high and low risk HPV, suggesting the importance of screening among younger women and the necessary of detection among older women. We found a novel co-infection preference of HPV 16/18 with 31, 52, and 58, suggesting a need of developing and marketing prophylactic HPV vaccines that protect against more genotypes in China.
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