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Purpose: This study analyzes the relationship between human papillomavirus (HPV) infection, vaginal microecology, and cervical lesions to provide a basis for the prevention and treatment of cervical cancer (CC) in the Xinjiang region. Methods: Real‐time quantitative PCR was used for HPV genotyping and viral load. The Gram staining and dry biochemical enzyme kit were utilized to diagnose vaginal secretions. The χ2 test and Logistic regression analysis were used for statistical analysis. Results: The HPV infection rate among women in the Xinjiang region was 30.29%, of which the single HPV infection accounts for 77%. HPV16 and HPV52 were the main infection types. There was significant differences in the HPV infection rate and infection types among the Han, Uighur, Hui, and Kazakh ethnic groups. The viral load of HPV16 and HPV52 increases with the upgrade of cervical lesions. There were significant differences in vaginal microecology evaluation indicators H2O2, SNA, LE, GUS, trichomonas, clue cells, and lactobacilli among different ethnic groups. HPV negative patients with varying grades of cervical lesions exhibit a notable variance in H2O2 and LE, which is statistically significant. Single HPV infection and high viral load HPV significantly increase the risk of CC. Conclusions: This study indicates that HPV infection and vaginal microecology differ among ethnic groups, which have a strong correlation with the progression of CC, offering guidance on CC screening and interventions in the Xinjiang area. [ABSTRACT FROM AUTHOR]

Objective: Whether there is a correlation between zinc-finger E-box-binding homolog 1 (ZEB1) and Yes-associated protein 1 (YAP1) with clinical outcome in gliomas remains unclear. Hence, this study aimed to investigate the effects of ZEB1 and YAP1 on the prognosis of human gliomas and its relationship with the isocitrate dehydrogenase 1 (IDH1) gene state., Methods: Immunohistochemical staining was used to record the expression levels of ZEB1, YAP1, and p-YAP1 in 122 cases of low-grade glioma (LGGs) and 69 cases of glioblastoma (GBMs). The correlations of ZEB1 and YAP1 with pathological data were determined by Pearson's Chi-square test. Spearman correlation analysis was then used for analyzing the relationship among YAP1, ZEB1, and IDH1 gene status. The effects of ZEB1 and YAP1 on prognosis were investigated through survival analysis., Results: We detected high ZEB1 expression levels in 29 LGGs (23.8%) and 39 GBMs (56.5%), and high YAP1 expression levels in 22 LGGs (18.0%) and 44 of GBM (63.8%). These results revealed that the protein expression levels of ZEB1 and YAP1 were higher in GBM ( P < 0.001). There was a significantly positive correlation between ZEB1 and YAP1 ( P < 0.001; r = 0.533). High ZEB1 expression was related to tumor grade ( P < 0.001) and Ki-67 ( P = 0.0037). YAP1 overexpression was correlated with Ki-67 ( P < 0.001), P53 ( P = 0.009), tumor grade ( P < 0.001), and tumor location ( P = 0.018). Patients with ZEB1 and YAP1 high expression had worse overall survival (OS) ( P < 0.001). The multivariate analysis showed that YAP1 was an independent prognostic factor for OS. In the LGG group, worse OS were observed in glioma patients with elevated YAP1 expression level. Spearman correlation analysis revealed no association between ZEB1 expression and IDH1 state ( P = 0.360; r = -0.084), and YAP1 expression had a negative correlation with IDH1 mutation ( P < 0.001, r = -0.364)., Conclusions: Our study showed that ZEB1 and YAP1 were significantly activated in GBM, and patients with high ZEB1 and YAP1 expression had worse OS. ZEB1 expression was significantly correlated with YAP1 in glioma. ZEB1 and YAP1 coexpression may serve as a useful prognostic biomarker for glioma, and aberrant YAP1 expression may be associated with IDH1 gene state., Competing Interests: None., (IJCEP Copyright © 2023.)

This study aimed to investigate the expression and prognostic significance of the signal transducer and activator of transcription protein 6 (STAT6 YE361 ) and EB virus encoding a small molecule RNA (EBER) in Hodgkin lymphoma (HL), as well as their correlation with clinical parameters. The expression of STAT6 YE361 and EBER was investigated in HL via immunohistochemistry and in situ hybridization. Patient clinical data were retrospectively collected from archival libraries, and statistical analysis was performed. Overall, the nuclear positive expression rate of STAT6 YE361 was 46%, and the EBER positive expression rate was 57%. STAT6 YE361 was specifically expressed on the nucleus in cHL tissues. EBER was overexpressed in HL and had correlations with several clinical data, including age, gender, ethnicity, and primary cancer site. Interestingly, nuclear STAT6 YE361 expression was correlated with EBER expression. Based on survival analysis, the nuclear expression of STAT6 YE361 and female patients were associated with poor prognosis and were independent prognostic factors for five-year OS. These findings suggest that STAT6 YE361 is a potential valuable index in the differential diagnosis and prognosis of HL. The mechanism of STAT6 YE361 is related to Epstein-Barr virus infection., (Copyright © 2022 The Authors. Published by Elsevier GmbH.. All rights reserved.)

This study aimed to investigate the hub protein related to the phosphatidylinositol-3-kinase (PI3K)/protein kinase B (AKT) signaling pathway in diffuse large B-cell lymphoma (DLBCL). We used proteomics methods (iTRAQ) to explore the differentially expressed proteins in the non-germinal center B-cell -like (non-GCB) DLBCL in our previous study. In this study, a total of 137 formalin-fixed paraffin-embedded DLBCL tissue samples were analyzed via immunohistochemistry to verify the expression of TCL1, AKT1 + 2+3, IKKβ and to determine the differentially expressed proteins associated with the PI3K/AKT signaling pathway. Spearman correlation was used to analyze the relationship between these proteins, and survival analysis was used to investigate their effects on prognosis. Immunohistochemistry analysis indicated that TCL1, AKT1 + 2+3, and IKKβ were highly positively expressed in DLBCL. Results showed that the expression of TCL1 was related to ethnicity (p = 0.022), primary site (p = 0.045), Ann Arbor stage (p = 0.037), the International Prognostic Index (p = 0.005), β2-microglobulin (p = 0.030), BCL2 expression (p < 0.001), and Ki-67 expression (p = 0.008). A positive correlation was found between TCL1 and AKT1 + 2+3 (p < 0.001; r = 0.475). A positive correlation was also found between AKT1 + 2+3 and IKKβ (p < 0.001; r = 0.342). In survival analysis, anemia, non-treatment with R‑CHOP, positive TCL1 expression, and Ki-67 expression≥50% independently predicted short progression-free survival and overall survival in the total cohort (p < 0.05). Thus, TCL1 as a hub protein is associated with the PI3K/AKT signaling pathway in DLBCL. TCL1 expression indicated a poor prognosis in patients with DLBCL. With further studies, TCL1 may be established as a reliable prognostic biomarker and potential immunotherapeutic target for improving therapeutic efficacy for DLBCL in the future., Competing Interests: Declaration of Competing Interest All authors have seen and approved the manuscript for submission to your journal. This paper has not been published or accepted elsewhere, and the authors declare no conflicts of interest., (Copyright © 2019 Elsevier GmbH. All rights reserved.)

Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease with unclear pathogenesis. DLBCL accounts for 30%-35% of all non-Hodgkin lymphomas (NHLs) and is an aggressive subtype of mature B-cell neoplasm. At present, half of DLBCL cases can be cured, although one-third of patients experience recurrence after treatment and enter advanced tumor stage. This study aimed to investigate the differentially expressed proteins in activated B-cell-like-DLBCL (ABC-DLBCL) through quantitative proteomics (iTRAQ). Seven ABC-DLBCL experimental samples and eight control samples (reactive hyperplasia of the lymph node) were obtained from fresh tissues. The exclusion criteria were expressed as follows: (1) patients with other lymphoid diseases; and (2) patients undergoing chemical treatment. A total of 5974 proteins were identified. P value < 0.05 and multiple expressions were more than 1.2-fold. A total of 131 upregulated and 204 downregulated differentially expressed proteins were identified. Gene ontology (GO) and Kyoto Encyclopedia of Gene and Genome (KEGG) pathway analysis were performed. Protein-protein interaction (PPI) network analysis was conducted. The expression levels of HSP90AB1, GNA13, LAMB2, LAMA5, YWHAZ, and IKBKB were evaluated through PRM and TCGA to validate the accuracy of iTRAQ and liquid chromatography-tandem mass spectrometry results. Results of differential multiple and t-test showed differences in the expression levels of six target proteins between the control and experimental groups. To the best of our knowledge, the present study is the first to identify proteins associated with ABC-DLBCL using iTRAQ technology. Our results provide new insights into the pathogenesis of ABC-DLBCL. The combination of ABC-DLBCL-associated signaling pathway proteins and targeted therapy to reverse drug resistance is of great significance in improving the comprehensive treatment of lymphoma and reducing mortality of affected individuals. The feasibility of the present study is limited due to the number of samples, and future studies are required to determine the function of proteins in ABC-DLBCL development., (Copyright © 2019 Elsevier GmbH. All rights reserved.)

Objectives: Microbiota has been suggested in promoting chronic inflammation in human tissues which, in turn, promotes tumor development. This study tests a hypothesis that high-risk human papillomavirus (HR-HPV) infection may correlate with proinflammatory Stat3 signaling activities and IL-17 levels in breast cancer (BC) patients., Materials and Methods: This study examined HPV infection by GenChip technology, constitutively active Stat3 (p-Stat3) and IL-17 levels by immunohistochemistry (IHC) using specific antibodies in 379 BC patients, together with 245 paired adjacent breast adenosis (ABA) tissues and 100 unrelated breast adenosis (BA) tissues., Results: We obtained four major findings: (1) HR-HPV16/18 infections existed in 10.5% (34/325) of BC issues, higher than control BA tissues (4%, 4/100, P = 0.047). (2) Using IHC methodology, BC tissues showed more overactive p-Stat3 (2+/3+, 38.5%, 146/379) than ABA tissues (27.3%, 67/245, P < 0.001); similarly, BC also had more tissues overexpressing IL-17 (2+/3+, 61.5%, 233/379) than ABA tissues (51.8%, 127/245, P < 0.001). (3) High levels (2+/3+) of both active p-Stat3 and IL-17 correlated with poor differentiation and lymph nodal metastasis in BC (both with P < 0.05), but not with patients' prognosis. (4) HR-HPV infections correlated with both active p-Stat3 (P = 0.018) and its downstream IL-17 levels (P = 0.021) in BC tissues., Conclusion: There may be a possible tri-lateral relationship among HPV infection, constitutive Stat3 activity and IL-17 level, whose collaborations could orchestrate a proinflammatory microenvironment in breast tissues by which promote carcinogenesis and/or facilitate progression of breast cancer.